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Sample records for atlas paca region

  1. Solar Atlas (PACA Region - France) | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Atlas (PACA Region - France) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Solar Atlas (PACA Region - France) AgencyCompany Organization: MINES ParisTech Sector:...

  2. Incubateur PACA Est | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Incubateur PACA Est Jump to: navigation, search Name: Incubateur PACA Est Place: France Sector: Services Product: General Financial & Legal Services ( Government Public sector )...

  3. Wind energy resource atlas. Volume 4. The Northeast region

    SciTech Connect

    Pickering, K.E.; Vilardo, J.M.; Schakenbach, J.T.; Elliott, D.L.; Barchet, W.R.; George, R.L.

    1980-09-01

    This atlas of the wind energy resource is composed of introductory and background information, a regional summary of the wind resource, and assessments of the wind resource in each state of the region. Background is presented on how the wind resource is assessed and on how the results of the assessment should be interpreted. A description of the wind resource on a regional scale is then given. The results of the wind energy assessments for each state are assembled in this chapter into an overview and summary of the various features of the regional wind energy resource. An introduction and outline are provided for in the descriptions of the wind resource given for each state. Assessments for individual states are presented. The state wind energy resources are described in greater detail than is the regional wind energy resource, and features of selected stations are discussed. This preface outlines the use and interpretation of the information found in the state chapters.

  4. Wind energy resource atlas. Volume 9. The Southwest Region

    SciTech Connect

    Simon, R.L.; Norman, G.T.; Elliott, D.L.; Barchet, W.R.; George, R.L.

    1980-11-01

    This atlas of the wind energy resource is composed of introductory and background information, a regional summary of the wind resource, and assessments of the wind resource in Nevada and California. Background on how the wind resource is assessed and on how the results of the assessment should be interpreted is presented. A description of the wind resource on a regional scale is then given. The results of the wind energy assessments for each state are assembled into an overview and summary of the various features of the regional wind energy resource. An introduction and outline to the descriptions of the wind resource given for each state are given. Assessments for individual states are presented as separate chapters. The state wind energy resources are described in greater detail than is the regional wind energy resource, and features of selected stations are discussed.

  5. Wind energy resource atlas. Volume 7. The south central region

    SciTech Connect

    Edwards, R.L.; Graves, L.F.; Sprankle, A.C.; Elliott, D.L.; Barchet, W.R.; George, R.L.

    1981-03-01

    This atlas of the south central region combines seven collections of wind resource data: one for the region, and one for each of the six states (Arkansas, Kansas, Louisiana, Missouri, Oklahoma, and Texas). At the state level, features of the climate, topography, and wind resource are discussed in greater detail than that provided in the regional discussion, and the data locations on which the assessment is based are mapped. Variations, over several time scales, in the wind resource at selected stations in each state are shown on graphs of monthly average and interannual wind speed and power, and hourly average wind speed for each season. Other graphs present speed, direction, and duration frequencies of the wind at these locations.

  6. Wind energy resource atlas. Volume 2. The North Central Region

    SciTech Connect

    Freeman, D.L.; Hadley, D.L.; Elliott, D.L.; Barchet, W.R.; George, R.L.

    1981-02-01

    The North Central atlas assimilates six collections of wind resource data: one for the region and one for each of the five states that compose the North Central region (Iowa, Minnesota, Nebraska, North Dakota, and South Dakota). At the state level, features of the climate, topography and wind resource are discussed in greater detail than is provided in the regional discussion, and that data locations on which the assessment is based are mapped. Variations, over several time scales, in the wind resource at selected stations in each state are shown on graphs of monthly average and international wind speed and power, and hourly average wind speed for each season. Other graphs present speed direction and duration frequencies of the wind at these locations.

  7. ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ATLAS Basics The basics of ATLAS computing at PDSF Read More » Data Transfer DQ2 is the ATLAS data management and transfer tool. Read More » File Systems ATLAS has space on 4 elizas: 35TB on /eliza1, 35TB on /eliza2, 12TB on /eliza4 and 142TB on /eliza18. Read More » Running on Carver ATLAS software is obtained via cvmfs which is installed on PDSF nodes. There is presently no cvmfs installation available on Carver so it is not possible to run ATLAS jobs on Carver at this time. However, the

  8. Wind energy resource atlas. Volume 10. Alaska region

    SciTech Connect

    Wise, J.L.; Wentink, T. Jr.; Becker, R. Jr.; Comiskey, A.L.; Elliott, D.L.; Barchet, W.R.; George, R.L.

    1980-12-01

    This atlas of the wind energy resource is composed of introductory and background information, a regional summary of the wind resource, and assessments of the wind resource in each subregion of Alaska. Background is presented on how the wind resource is assessed and on how the results of the assessment should be interpreted. A description of the wind resource on a state scale is given. The results of the wind energy assessments for each subregion are assembled into an overview and summary of the various features of the Alaska wind energy resource. An outline to the descriptions of the wind resource given for each subregion is included. Assessments for individual subregions are presented as separate chapters. The subregion wind energy resources are described in greater detail than is the Alaska wind energy resource, and features of selected stations are discussed. This preface outlines the use and interpretation of the information found in the subregion chapters.

  9. Wind energy resources atlas. Volume 1. Northwest region

    SciTech Connect

    Elliott, D.L.; Barchet, W.R.

    1980-04-01

    Information is presented concering regional wind energy resource assessment; regional features; and state features for Idaho, Montana, Oregon, Washington, and Wyoming.

  10. Carbon Sequestration Atlas and Interactive Maps from the Southwest Regional Partnership on Carbon Sequestration

    DOE Data Explorer

    McPherson, Brian

    In November of 2002, DOE announced a global climate change initiative involving joint government-industry partnerships working together to find sensible, low cost solutions for reducing GHG emissions. As a result, seven regional partnerships were formed; the Southwest Regional Partnership on Carbon Sequestration (SWP) is one of those. These groups are utilizing their expertise to assess sequestration technologies to capture carbon emissions, identify and evaluate appropriate storage locations, and engage a variety of stakeholders in order to increase awareness of carbon sequestration. Stakeholders in this project are made up of private industry, NGOs, the general public, and government entities. There are a total of 44 current organizations represented in the partnership including electric utilities, oil and gas companies, state governments, universities, NGOs, and tribal nations. The SWP is coordinated by New Mexico Tech and encompasses New Mexico, Arizona, Colorado, Oklahoma, Utah, and portions of Kansas, Nevada, Texas, and Wyoming. Field test sites for the region are located in New Mexico (San Juan Basin), Utah (Paradox Basin), and Texas (Permian Basin).[Taken from the SWP C02 Sequestration Atlas] The SWP makes available at this website their CO2 Sequestration Atlas and an interactive data map.

  11. Wind energy resource atlas. Volume 8. The southern Rocky Mountain region

    SciTech Connect

    Andersen, S.R.; Freeman, D.L.; Hadley, D.L.; Elliott, D.L.; Barchet, W.R.; George, R.L.

    1981-03-01

    The Southern Rocky Mountain atlas assimilates five collections of wind resource data: one for the region and one for each of the four states that compose the Southern Rocky Mountain region (Arizona, Colorado, New Mexico, and Utah). At the state level, features of the climate, topography and wind resource are discussed in greater detail than is provided in the regional discussion, and the data locations on which the assessment is based are mapped. Variations, over several time scales, in the wind resource at selected stations in each state are shown on graphs of monthly average and interannual wind speed and power, and hourly average wind speed for each season. Other graphs present speed, direction, and duration frequencies of the wind at these locations.

  12. Wind Energy Resource Atlas. Volume 11. Hawaii and Pacific Islands Region

    SciTech Connect

    Schroeder, T.A.; Hori, A.M.; Elliott, D.L.; Barchet, W.R.; George, R.L.

    1981-02-01

    This atlas of the wind energy resource is composed of introductory and background information, and assessments of the wind resource in each division of the region. Background on how the wind resource is assessed and on how the results of the assessment should be inerpreted is presented. An introduction and outline to the descriptions of the wind resource for each division are provided. Assessments for individual divisions are presented as separate chapters. Much of the information in the division chapters is given in graphic or tabular form. The sequences for each chapter are similar, but some presentations used for Hawaii are inappropriate or impractical for presentation with the Pacific Islands. Hawaii chapter figure and tables are cited below and appropriate Pacific Islands figure and table numbers are included in brackets ().

  13. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Floorplan ATLAS Floorplan

  14. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Training Requirements Experimental Equipment Safety Data Management Users Group ATLAS Users Workshop 2009 25 Years of ATLAS Gretina Workshop ATLAS Users Workshop 2014 ATLAS...

  15. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Beam Schedule CARIBU Schedule ATLAS Future CARIBU Future Scheduling Considerations ATLAS Archive CARIBU Archive ATLAS Schedules Beamtime at ATLAS is normally scheduled in two-month...

  16. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    25 Years of ATLAS First Circulation Agenda Registration Attendees Presentations Photos of the Meeting Photos of History The ATLAS Research at ATLAS Dear Friend, This is the second...

  17. Big Sky Carbon Atlas

    DOE Data Explorer

    The Big Sky Carbon Atlas is an online geoportal designed for you to discover, interpret, and access geospatial data and maps relevant to decision support and education on carbon sequestration in the Big Sky Region. In serving as the public face of the Partnership's spatial Data Libraries, the Atlas provides a gateway to geographic information characterizing CO2 sources, potential geologic sinks, terrestrial carbon fluxes, civil and energy infrastructure, energy use, and related themes. In addition to directly serving the BSCSP and its stakeholders, the Atlas feeds regional data to the NatCarb Portal, contributing to a national perspective on carbon sequestration. Established components of the Atlas include a gallery of thematic maps and an interactive map that allows you to: • Navigate and explore regional characterization data through a user-friendly interface • Print your map views or publish them as PDFs • Identify technical references relevant to specific areas of interest • Calculate straight-line or pipeline-constrained distances from point sources of CO2 to potential geologic sink features • Download regional data layers (feature under development) (Acknowledgment to the Big Sky Carbon Sequestration Partnership (BSCSP); see home page at http://www.bigskyco2.org/)

  18. WESTCARB Carbon Atlas

    DOE Data Explorer

    The West Coast Regional Carbon Sequestration Partnership (known as WESTCARB) was established in Fall 2003. It is one of seven research partnerships co-funded by DOE to characterize regional carbon sequestration opportunities and conduct pilot-scale validation tests. The California Energy Commission manages WESTCARB and is a major co-funder. WESTCARB is characterizing the extent and capacity of geologic formations capable of storing CO2, known as sinks. Results are entered into a geographic information system (GIS) database, along with the location of major CO2-emitting point sources in each of the six WESTCARB states, enabling researchers and the public to gauge the proximity of candidate CO2 storage sites to emission sources and the feasibility of linking them via pipelines. Specifically, the WESTCARB GIS database (also known as the carbon atlas) stores layers of geologic information about potential underground storage sites, such as porosity and nearby fault-lines and aquifers. Researchers use these data, along with interpreted geophysical data and available oil and gas well logs to estimate the region's potential geologic storage capacity. The database also depicts existing pipeline routes and rights-of-way and lands that could be off-limits, which can aid the development of a regional carbon management strategy. The WESTCARB Carbon Atlas, which is accessible to the public, provides a resource for public discourse on practical solutions for regional CO2 management. A key WESTCARB partner, the Utah Automated Geographic Reference Center, has developed data serving procedures to enable the WESTCARB Carbon Atlas to be integrated with those from other regional partnerships, thereby supporting the U.S. Department of Energy's national carbon atlas, NATCARB

  19. Carbon Storage Atlas - Fifth Edition (Atlas V) (2015)

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Carbon Storage Atlas - Fifth Edition (Atlas V) (2015) Atlas V Complete Document [PDF-73.1MB] Carbon Storage Atlas - Fifth Edition (Atlas V) (2015) The U.S. Department of Energy's (DOE) National Energy Technology Laboratory (NETL) is proud to release the fifth edition of the Carbon Storage Atlas (Atlas V). Production of Atlas V is the result of collaboration among carbon storage experts from local, State, and Federal agencies, as well as industry and academia. Atlas V provides a coordinated

  20. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    AGFA AIRIS.pdf CHICO2 DGS.pdf FMA GODDESS GRETINA HELIOS PhoswichWall TapeStation ATLAS Strategic Plan (2009) ATLAS Strategic Plan (2014) Registered Participants ATLAS USERS...

  1. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Electrical Safety Considerations at ATLAS For onsite emergencies, call 911 on the internal ... Argonne and ATLAS have very specific requirements concerning working on or near electrical ...

  2. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Safety General Radiation Electrical Experiment Safety at ATLAS The Management and Staff at ATLAS and Argonne National Laboratory are fully dedicated to integrating safety into all ...

  3. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    2014 ATLAS Users Meeting: May 15-16, 2014 Dear Colleagues, The ATLAS accelerator complex at Argonne National Laboratory is restarting operation after an extended shutdown to...

  4. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    General Safety Considerations at ATLAS For onsite emergencies, call 911 on the internal phones (or 252-1911 on cell phones) Important general safety topics: ATLAS requires that...

  5. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ATLAS 25th Anniversary Celebration Presentations Summary of the History of ATLAS W. F. Henning Reminiscences 1: From Whence did ATLAS arise? J. P. Schiffer Reminiscences 2: ATLAS 25th Anniversary Celebration R. Pardo Reminiscences 3: The Argonne-Notre Dame Gamma-ray Facility U. Garg Reminiscences 4: Atom Trap at ATLAS Z. T. Lu The Impact of ATLAS on SRF Development and Applications R. E. Laxdel Technical Challenges in Low-velocity SRF Development M. Kelly Offsprings of ATLAS - the Florida State

  6. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    We are planning a symposium to celebrate the 25th anniversary of the dedication of ATLAS which took place on June 25, 1985. ATLAS was the world's first superconducting linac...

  7. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Future ATLAS Schedule Please contact Mrs. Barbara Weller (bweller@anl.gov) or go to here for your travel arrangement as far in advance of your arrival as possible. Future ATLAS...

  8. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    PAC and Proposals Call for Proposals PAC Members Proposal Info Approved Experiments ATLAS Proposal Submission A call for ATLAS Proposals is made 2-3 times per year, depending on...

  9. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ATLAS Data Management Plan This information is provided to inform users of the data management policies of ATLAS. All proposals for funding to the Office of Science require a data...

  10. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Proposed ATLAS efficiency and intensity upgrade Guy Savard and Robert V. F. Janssens June 12, 2009 The ATLAS facility is on a constant quest to improve and increase the...

  11. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Training Requirements for ATLAS Users All ATLAS Users must fulfill certain training requirements before they are allowed to have unescorted access to the ATLAS facility. These requirements are: Argonne Radiation Worker I Training ATLAS Site Specific Safety Training These training courses are computer based and will need to be completed every two years. The material covered in the training and the tests that must be completed with passing scores of 80% are available only on computers in the

  12. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    The ATLAS User Group Executive Committee The current membership of the ATLAS User Group Executive Committee is: Dan Bardayan University of Notre Dame dbardaya@nd.edu Catherine Deibel Louisiana State University deibel@lsu.edu Nicholas Scielzo (chair) Lawrence Livermore National Lab scielzo1@llnl.gov Alan Wuosmaa University of Connecticut alan.wuosmaa@uconn.edu The ATLAS User Group Charter: The ATLAS User Group shall be formed from the members of the nuclear physics, nuclear chemistry and atomic

  13. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    The ATLAS Program Advisory Committee (PAC) Since ATLAS is a National User Facility and available for experiments to anyone in the world, all experiments to be performed at ATLAS must be reviewed and approved by the ATLAS PAC. The PAC consists of 5-7 internationally recognized nuclear physicists, most of whom come from outside Argonne. The PAC members are appointed by the Scientific Director of ATLAS and typically serve for a term of two years. The PAC normally meets twice per year. At roughly

  14. RE Atlas | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    RE Atlas Jump to: navigation, search Tool Summary LAUNCH TOOL Name: RE Atlas AgencyCompany Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Renewable...

  15. Atlas Material Testing Solutions | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Atlas Material Testing Solutions Jump to: navigation, search Name: Atlas Material Testing Solutions Place: Chicago, IL Zip: 60613 Website: atlas-mts.com Coordinates: 41.9529209,...

  16. Atlas of major Appalachian basin gas plays

    SciTech Connect

    Aminian, K.; Avary, K.L.; Baranoski, M.T.; Flaherty, K.; Humphreys, M.; Smosna, R.A.

    1995-06-01

    This regional study of gas reservoirs in the Appalachian basin has four main objectives: to organize all of the -as reservoirs in the Appalachian basin into unique plays based on common age, lithology, trap type and other geologic similarities; to write, illustrate and publish an atlas of major gas plays; to prepare and submit a digital data base of geologic, engineering and reservoir parameters for each gas field; and technology transfer to the oil and gas industry during the preparation of the atlas and data base.

  17. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Experiment Safety Considerations at ATLAS For onsite emergencies, call 911 on the internal phones (or 252-1911 on cell phones) Equipment Safety Reviews are required whenever new...

  18. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    & Talks FirstAnnouncement SecondAnnouncement Registration Form Registered Participants ATLAS Upgrade Equipment Initiatives Stable Beams Radioactive Beams CARIBU Beams Workshop...

  19. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Stable Beams Available from ATLAS Updated August, 2009 Beam currents listed in the table were obtained with naturally occurring material for the given isotope. The maximum energy...

  20. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    The ATLAS Program Advisory Committee (PAC) Current PAC Membership: Gordon Ball TRIUMF Dan Bardayan University of Notre Dame Peter Butler University of Liverpool Michael Carpenter...

  1. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Equipment Information There are several major pieces of experimental equipment at ATLAS. These are listed below along with contact information for the system experts:...

  2. BNL ATLAS Grid Computing

    ScienceCinema

    Michael Ernst

    2010-01-08

    As the sole Tier-1 computing facility for ATLAS in the United States and the largest ATLAS computing center worldwide Brookhaven provides a large portion of the overall computing resources for U.S. collaborators and serves as the central hub for storing,

  3. BioPower Atlas and BioFuels Atlas | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Atlas and BioFuels Atlas Jump to: navigation, search Tool Summary LAUNCH TOOL Name: BioPower Atlas and BioFuels Atlas AgencyCompany Organization: National Renewable Energy...

  4. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Radiation Safety at ATLAS For onsite emergencies, call 911 on the internal phones (or 630-252-1911 on cell phones) Safety Aspects of radiation safety at ATLAS: Health Physics Coverage at ATLAS is provided by Argonne National Laboratory. Health Physics personnel must be notified if there is a possible contamination incident, or if target and/or detectors are to be removed from a beam line following an experiment. HP Contact information: Angel Garcia (HP Technician): 2-9179 (4-1352 pager) Dave

  5. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    The purpose of this note is to announce an important workshop for the ATLAS users to be held at Argonne National Laboratory on AUGUST 8 and 9, 2009. As you are aware, major changes are in store for the ATLAS facility. First, the Energy Upgrade and the CARIBU (CAlifornium Rare Ion Breeder Upgrade) projects are nearing completion. In addition, the role of ATLAS for the low-energy nuclear physics community needs to be revisited in light of the decision to site the Facility for Rare Isotope Beams

  6. ATLAS Metadata Task Force

    SciTech Connect

    ATLAS Collaboration; Costanzo, D.; Cranshaw, J.; Gadomski, S.; Jezequel, S.; Klimentov, A.; Lehmann Miotto, G.; Malon, D.; Mornacchi, G.; Nemethy, P.; Pauly, T.; von der Schmitt, H.; Barberis, D.; Gianotti, F.; Hinchliffe, I.; Mapelli, L.; Quarrie, D.; Stapnes, S.

    2007-04-04

    This document provides an overview of the metadata, which are needed to characterizeATLAS event data at different levels (a complete run, data streams within a run, luminosity blocks within a run, individual events).

  7. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Radioactive Beams Delivered by ATLAS Updated July, 2009 a Beams produced using the "In-flight" method (see below). b Beams produced using the "Two-accelerator" or "Batch" method...

  8. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    solenoid (i.e., MRI magnet). It has been commissioned, tested and used at ATLAS with secondary short-lived beams. It also has the potential of being moved to other...

  9. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Scheduling Considerations Beamtime at ATLAS is normally scheduled in two-month blocks. We make every effort to produce an accurate schedule at least two weeks prior to its approval...

  10. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Approved ATLAS Experiments Sorted by PAC meetings: November 6-7, 2015 March 8-9, 2015 September 19, 2014 November 22-23, 2013 December 14-15, 2012 January 13-14, 2012 April 22-23,...

  11. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Office of Nuclear Physics at the Department of Energy to upgrade the capabilities of ATLAS in the area of physics with rare isotopes. A copy of the proposal for the CAlifornium...

  12. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Contact Information Shaofei Zhu ATLAS User Liaison Physicist zhu@anl.gov (630) 252-4412 Shaofei Zhu Barbara Weller Administrative Secretary bweller@anl.gov (630) 252-4044 Barbara...

  13. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    This is the second announcement of the ATLAS User Group Meeting that will take place on August 8-9, 2009. As stated in our original message (http:www.phy.anl.govatlas...

  14. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Radioactive Beams Delivered by ATLAS Updated July, 2009 a Beams produced using the "In-flight" method (Rev. Sci. Instrum. 71, 380 (2008)) (see below). b Beams produced using the...

  15. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Guest Facilities User Agreement All ATLAS Facility Users must have an appointment at Argonne to work at the facility. In order for a non-Argonne person to perform research at ATLAS the Department of Energy requires that a Guest Facilities User Agreement be executed. The purpose of the User Agreement is to define administrative obligations such as safety, liability, ownership of property, and intellectual property rights. These rights and obligations vary based upon category of use.

  16. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    2014 ATLAS User’s Meeting: May 15-16, 2014 Dear Colleagues, The ATLAS accelerator complex at Argonne National Laboratory restarted operation after an extended shutdown to complete its intensity and efficiency upgrade. This upgrade project consisted of a reconfigured injection line and a positive-ion injector that now includes a high-intensity CW RFQ for initial acceleration. In addition, a major reconfiguration of the booster section was also part of the project. A new cryostat with

  17. Template:AtlasTabs | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    AtlasTabs Jump to: navigation, search Retrieved from "http:en.openei.orgwindex.php?titleTemplate:AtlasTabs&oldid686795...

  18. Atlas Solar Innovations | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Innovations Jump to: navigation, search Logo: Atlas Solar Innovations Name: Atlas Solar Innovations Address: 2640 NW 15th Court Place: Pompano Beach, Florida Zip: 33069 Sector:...

  19. Biofuels Atlas (United States) | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Atlas (United States) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Biofuels Atlas (United States) Focus Area: Clean Transportation Topics: Potentials & Scenarios...

  20. River Hydrokinetic Resource Atlas | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    dress":"","icon":"","group":"","inlineLabel":"","visitedicon":"" Hide Map Language: English River Hydrokinetic Resource Atlas Screenshot References: EPRI1 River Atlas2 The...

  1. Automated Transportation Logistics and Analysis System (ATLAS...

    Office of Environmental Management (EM)

    Automated Transportation Logistics and Analysis System (ATLAS) ATLAS is an integrated web-based logistics management system allowing users to manage inbound and outbound freight ...

  2. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ATLAS USERS WORKSHOP: AGENDA Saturday, August 8 (Bldg. 203 Auditorium) 8:45 - 9:15 Registration & Coffee 9:15 - 9:30 Welcome & introduction to the meeting: W. Loveland An updated Strategic Plan: Why? R. Janssens 9:30 - 10:00 Status of ATLAS (& Energy Upgrade) R. Pardo 10:00 - 10:30 Status of CARIBU R. Pardo & G. Savard 10:30 - 10:45 Coffee 10:45 - 12:45 Status report on existing equipment & Planned Upgrades*: 10:45 - 11:00 HELIOS A. Wuosmaa 11:00 - 11:15 Gammasphere M.

  3. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    April 2-3, 2010 ATLAS PAC Meeting Please note: Because of the pressure on ATLAS beam time, the PAC ranked the approved experiments in two categories. Priority I experiments are those that must be run at all costs. Priority II experiments are those that should be granted beam time (indicated in parenthesis) if at all possible. Priority I experiments are approved for the present cycle of experiments, but can be run during the next PAC cycle as well if scheduling conflicts occur. Priority II

  4. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    April 22-23, 2011 ATLAS PAC Meeting Please note: Because of the pressure on ATLAS beam time, the PAC ranked the approved experiments in two categories. Priority I experiments are those that must be run at all costs. Priority II experiments are those that should be granted beam time (indicated in parenthesis) if at all possible. Priority I experiments are approved for the present cycle of experiments, but can be run during the next PAC cycle as well if scheduling conflicts occur. Priority II

  5. New Carbon Storage Atlas Shows Hundreds of Years of CO2 Storage Potential |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Carbon Storage Atlas Shows Hundreds of Years of CO2 Storage Potential New Carbon Storage Atlas Shows Hundreds of Years of CO2 Storage Potential December 21, 2012 - 9:58am Addthis Atlas IV was created by the National Energy Technology Laboratory (NETL), and includes input from the more than 400 organizations in 43 states and four Canadian provinces that make up the Department’s seven Regional Carbon Sequestration Partnerships (as shown above). <a

  6. Carbon Sequestration Atlas IV Video

    SciTech Connect

    Rodosta, Traci

    2013-04-19

    The Carbon Sequestration Atlas is a collection of all the storage sites of CO2 such as, petroleum, natural gas, coal, and oil shale.

  7. Carbon Sequestration Atlas IV Video

    ScienceCinema

    Rodosta, Traci

    2014-06-27

    The Carbon Sequestration Atlas is a collection of all the storage sites of CO2 such as, petroleum, natural gas, coal, and oil shale.

  8. BioFuels Atlas Presentation

    Office of Energy Efficiency and Renewable Energy (EERE)

    Kristi Moriarity's presentation on NREL's BioFuels Atlas from the May 12, 2011, Clean Cities and Biomass Program State webinar.

  9. ATLAS Support Center | Argonne National Laboratory

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ATLAS Support Center Our mission is to support ATLAS physics analyses and hardware R&D, in particular for U.S. ATLAS physicists. We are one of the three ATLAS Support Centers in the U.S. We offer for ATLAS users: A model Tier-3 (T3g) for ATLAS analysis Meeting and office space for visitors A dedicated video conference facility Computer accounts ATLAS software expertise and consultation T3g setup expertise and consultation Analysis expertise and consultation The support center is operated by

  10. An energy atlas of five Central American countries. Un atlas energetico de cinco paises Centroamericanos

    SciTech Connect

    Trocki, L.; Newman, C.K.; Gurule, F.; Aragon, P.C.; Peck, C.

    1988-08-01

    In a series of maps and figures, this atlas summarizes what is known about the energy resources and how these resources and oil imports supply the energy needs of five Central American countries: Guatemala, El Salvador, Honduras, Costa Rica, and Panama. The main exploited energy resources are firewood, hydroelectric energy, bagasse from sugar cane residues, and geothermal energy. Limited oil exploration in the region has uncovered modest oil resources only in Guatemala. Peat and small coal deposits are also known to exist but are not presently being exploited. After the description of energy resources, this atlas describes energy supply and demand patterns in each country. It concludes with a description of socioeconomic data that strongly affect energy demand. 4 refs.

  11. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Recommended Vacuum Equipment This is the only vacuum equipment supported by the ATLAS Control System Cryo Pump Heater Blanket Temp/Controller 1 Temp/Controller 2 8200 Compressor 9600 Compressor Cryo Torr Interface Gate Valves All-Metal Hand Valves Foreline Valves Vac Gauge Modular Vac Gauge Controller Hand Valves Turbo Pumps (Ceramic) Turbo Pumps (MagLev) Turbo Pumps (Hybrid) Fore Pump (Scroll) Getter Pump Download Spreadsheet Category Manufacturer Model/Type Order Info Supplier Details Cryo

  12. Argonne Physics Division - ATLAS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Stable Beams Available from ATLAS Updated August, 2009 Beam currents listed in the table were obtained with naturally occurring material for the given isotope. The maximum energy quoted corresponds to the that computed with the optimal charge state. Higher energies are possible by using another charge state or by double stripping. a Other isotopes available with currents proportional to their abundance. For more beam current isotopically enriched material may be used, but the User should, in

  13. Preparation of northern mid-continent petroleum atlas. Quarterly report, October 1, 1996--December 31, 1996

    SciTech Connect

    Gerhard, L.C.; Carr, T.R.; Watney, W.L.

    1997-02-04

    As proposed, the second year program will continue and expand upon the Kansas elements of the original program, and provide improved on-line access to the prototype atlas. The second year of the program will result in a prototype digital atlas sufficient to demonstrate the approach and to provide a permanent improvement in data access to Kansas operators. The ultimate goal of providing an interactive history-matching interface with a regional data base remains for future development as the program covers more geographic territory and the data base expands. As part of the first year project ``Pages`` and data schema for the atlas overview and field studies were developed and made accessible through the world-wide-web. The atlas structure includes access to geologic, geophysical and production information at levels from the natural, to the regional, to the field to the individual well. Several approaches have been developed that provide efficient and flexible screening and search procedures. The prototype of the digital atlas is accessible through the Kansas Geological Survey Petroleum Research Section (PRS) HomePage (the Universal Resource locator [URL] is http://www.kgs.ukans. edu/PRS/PRS.html). The Digital Petroleum Atlas (DPA) HomePage is available directly at http://www.kgs.ukans.edu/DPA/dpaHome.html.

  14. ATLAS upgrade June09_v3

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ATLAS efficiency and intensity upgrade Guy Savard and Robert V. F. Janssens June 12, 2009 The ATLAS facility is on a constant quest to improve and increase the capabilities it...

  15. Global Atlas | OpenEI Community

    OpenEI (Open Energy Information) [EERE & EIA]

    Global Atlas Home Graham7781's picture Submitted by Graham7781(2017) Super contributor 11 February, 2013 - 15:18 IRENA launches global atlas of renewable energy potential data...

  16. Atlas Lighting: Order (2015-CE-48001)

    Energy.gov [DOE]

    DOE ordered Atlas Lighting Products to pay a $6,000 civil penalty after finding Atlas Lighting had failed to certify that certain models of illuminated exit signs comply with the applicable energy conservation standards.

  17. European Wind Atlas: Offshore | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    URI: cleanenergysolutions.orgcontenteuropean-wind-atlas-offshore,http:c Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance This...

  18. European Wind Atlas: Onshore | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    URI: cleanenergysolutions.orgcontenteuropean-wind-atlas-onshore,http:cl Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance This...

  19. European Wind Atlas: France | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    URI: cleanenergysolutions.orgcontenteuropean-wind-atlas-france,http:cle Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance This...

  20. BioFuels Atlas (Presentation)

    SciTech Connect

    Moriarty, K.

    2011-02-01

    Presentation for biennial merit review of Biofuels Atlas, a first-pass visualization tool that allows users to explore the potential of biomass-to-biofuels conversions at various locations and scales.

  1. From whence did ATLAS arise?

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    whence did ATLAS arise? (the quarter century: 1960-85) Once upon a time, there was an Argonne tandem (started 1960) Here is a typical schedule from the 60-s. 2 We even had an...

  2. Wind Energy Atlas of Brazil | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Atlas of Brazil Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Wind Energy Atlas of Brazil Focus Area: Renewable Energy Topics: Potentials & Scenarios Website:...

  3. Ontario Renewable Energy Atlas (Canada) | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Renewable Energy Atlas (Canada) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Ontario Renewable Energy Atlas (Canada) Focus Area: Renewable Energy Topics: Potentials &...

  4. ATLAS diboson excesses from the stealth doublet model (Journal...

    Office of Scientific and Technical Information (OSTI)

    ATLAS diboson excesses from the stealth doublet model Title: ATLAS diboson excesses from the stealth doublet model Authors: Chao, Wei Search DOE PAGES for author "Chao, Wei" Search...

  5. Global Atlas for Solar and Wind Energy | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Atlas for Solar and Wind Energy Jump to: navigation, search Tool Summary Name: Global Atlas for Solar and Wind Energy AgencyCompany Organization: International Renewable Energy...

  6. 2010 Carbon Sequestration Atlas of the United States and Canada...

    OpenEI (Open Energy Information) [EERE & EIA]

    10 Carbon Sequestration Atlas of the United States and Canada: Third Edition Jump to: navigation, search Tool Summary LAUNCH TOOL Name: 2010 Carbon Sequestration Atlas of the...

  7. Consumer Energy Atlas

    SciTech Connect

    Not Available

    1980-06-01

    This first edition of the Atlas provides, in reference form, a central source of information to consumers on key contacts concerned with energy in the US. Energy consumers need information appropriate to local climates and characteristics - best provided by state and local governments. The Department of Energy recognizes the authority of state and local governments to manage energy programs on their own. Therefore, emphasis has been given to government organizations on both the national and state level that influence, formulate, or administer policies affecting energy production, distribution, and use, or that provide information of interest to consumers and non-specialists. In addition, hundreds of non-government energy-related membership organizations, industry trade associations, and energy publications are included.

  8. Research on data from the ATLAS experiment at CERN

    SciTech Connect

    Purohit, Milind V.

    2015-07-31

    In this report senior investigator Prof. Milind V. Purohit describes research done with data from the ATLAS experiment at CERN. This includes preparing papers on the performance of the CSC detector, searches for SUSY using a new modern ''big data'' technique, and a search for supersymmetry (SUSY) using the "zero leptons razor" (0LRaz) technique. The prediction of the W=Z+jets background processes by the ATLAS simulation prior to the fit is found to be overestimated in the phase space of interest. In all new signal regions presented in this analysis the number of events observed is consistent with the post-fit SM expectations. Assuming R-parity conservation, the limit on the gluino mass exceeds 1150 GeV at 95% confidence level, for an LSP mass smaller than 100 GeV. Other USC personnel who participated in this project during the period of this grant were a graduate student, Anton Kravchenko.

  9. Evaluation of atlas-based auto-segmentation software in prostate cancer patients

    SciTech Connect

    Greenham, Stuart; Dean, Jenna; Fu, Cheuk Kuen Kenneth; Goman, Joanne; Mulligan, Jeremy; Tune, Deanna; Sampson, David; Westhuyzen, Justin; McKay, Michael

    2014-09-15

    The performance and limitations of an atlas-based auto-segmentation software package (ABAS; Elekta Inc.) was evaluated using male pelvic anatomy as the area of interest. Contours from 10 prostate patients were selected to create atlases in ABAS. The contoured regions of interest were created manually to align with published guidelines and included the prostate, bladder, rectum, femoral heads and external patient contour. Twenty-four clinically treated prostate patients were auto-contoured using a randomised selection of two, four, six, eight or ten atlases. The concordance between the manually drawn and computer-generated contours were evaluated statistically using Pearson's product–moment correlation coefficient (r) and clinically in a validated qualitative evaluation. In the latter evaluation, six radiation therapists classified the degree of agreement for each structure using seven clinically appropriate categories. The ABAS software generated clinically acceptable contours for the bladder, rectum, femoral heads and external patient contour. For these structures, ABAS-generated volumes were highly correlated with ‘as treated’ volumes, manually drawn; for four atlases, for example, bladder r = 0.988 (P < 0.001), rectum r = 0.739 (P < 0.001) and left femoral head r = 0.560 (P < 0.001). Poorest results were seen for the prostate (r = 0.401, P < 0.05) (four atlases); however this was attributed to the comparison prostate volume being contoured on magnetic resonance imaging (MRI) rather than computed tomography (CT) data. For all structures, increasing the number of atlases did not consistently improve accuracy. ABAS-generated contours are clinically useful for a range of structures in the male pelvis. Clinically appropriate volumes were created, but editing of some contours was inevitably required. The ideal number of atlases to improve generated automatic contours is yet to be determined.

  10. ATLAS Science and Technology Review

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    th Anniversary Celebration October 22-23, 2010 Physics Division, Argonne National Laboratory Building 203, Auditorium Friday, October 22: The Past as Prologue 8:00 - 8:30 Registration and coffee Chair: R.V.F. Janssens 8:30 - 8:45 Welcome by Laboratory Director and ALD E. Isaacs/S. Streiffer 8:45 - 9:30 Summary of the History of ATLAS W.F. Henning Chair: B.B. Back 9:30 - 10:30 Reminiscences 10:30 - 10:50 Break Chair: J. Nolen 10:50 - 11:25 The Impact of ATLAS on SRF Development and Applications

  11. The ATLAS Positron Experiment -- APEX

    SciTech Connect

    Ahmad, I.; Back, B.B.; Betts, R.R.; Dunford, R.; Kutschera, W.; Rhein, M.D.; Schiffer, J.P.; Wilt, P.; Wuosmaa, A.; Austin, S.M.; Kashy, E.; Winfield, J.S.; Yurkon, J.E.; Bazin, D.; Calaprice, F.P.; Young, A.; Chan, K.C.; Chisti, A.; Chowhury, P.; Greenberg, J.S.; Kaloskamis, N.; Lister, C.J.; Fox, J.D.; Roa, E.; Freedman, S.; Maier, M.R.; Freer, M.; Gazes, S.; Hallin, A.L.; Liu, M.; Happ, T.; Perera, A.; Wolfs, F.L.H.; Trainor, T.; Wolanski, M. |

    1994-03-01

    APEX -- the ATLAS Positron Experiment -- is designed to measure electrons and positrons emitted in heavy-ion collisions. Its scientific goal is to gain insight into the puzzling positron-line phenomena observed at the GSI Darmstadt. It is in operation at the ATLAS accelerator at Argonne National Lab. The assembly of the apparatus is finished and beginning 1993 the first positrons produced in heavy-ion collisions were observed. The first full scale experiment was carried out in December 1993, and the data are currently being analyzed. In this paper, the principles of operation are explained and a status report on the experiment is given.

  12. World Bank eAtlas of Global Development | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    World Bank eAtlas of Global Development1 "This eAtlas, a new online companion to Atlas of Global Development, third edition, builds on the Atlas topics, allowing you to...

  13. ATLAS_Strategic_Plan_09_v5

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    2 Introduction This strategic plan is developed jointly by the ATLAS user community and the Physics Division at Argonne National Laboratory. This plan is a public document, hence ...

  14. ATLAS_Strategic_Plan_14_August _9

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Introduction This strategic plan is developed jointly by the ATLAS user community and the Physics Division at Argonne National Laboratory. This plan is a public document, hence ...

  15. Wind Energy Resource Atlas of Armenia

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    G. Scott, S. Haymes, D. Heimiller, R. George National Renewable Energy Laboratory Wind Energy Resource Atlas of Armenia July 2003 * NRELTP-500-33544 Wind Energy Resource...

  16. ATLAS APPROVED IN-BEAM EXPERIMENTS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    7 785 Baktash Band Termination, Superdeformation and Complex Clusters in 32S 5 TOTAL 82 ATLAS APPROVED SOURCE EXPERIMENTS (Depending on Gammasphere Availability) Exp Spokesperson...

  17. Carbon Storage Atlas, Employee Newsletter Earn International...

    Energy.gov [DOE] (indexed site)

    internal employee newsletter, inTouch, earned 2013 National Association of Government Communicators awards. NETL's Carbon Storage Atlas IV and FE's internal employee newsletter, ...

  18. Commissioning of the ATLAS pixel detector

    SciTech Connect

    ATLAS Collaboration; Golling, Tobias

    2008-09-01

    The ATLAS pixel detector is a high precision silicon tracking device located closest to the LHC interaction point. It belongs to the first generation of its kind in a hadron collider experiment. It will provide crucial pattern recognition information and will largely determine the ability of ATLAS to precisely track particle trajectories and find secondary vertices. It was the last detector to be installed in ATLAS in June 2007, has been fully connected and tested in-situ during spring and summer 2008, and is ready for the imminent LHC turn-on. The highlights of the past and future commissioning activities of the ATLAS pixel system are presented.

  19. ATLAS Enhanced Capabilities and Questions | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    ATLAS Enhanced Capabilities and Questions ATLAS Enhanced Capabilities and Questions Enhanced Capabilities ATLAS provides an enterprise wide solution for managing DOE's transportation activities. ATLAS combined and enhanced the existing tools in a reliable, efficient, user friendly and secure cloud platform. ATLAS tools and electronic forms were designed by expert users to promote compliance in an intuitive (logical and easy to use) format and to provide easy access for qualified users.

  20. Philippines Wind Energy Resource Atlas Development

    SciTech Connect

    Elliott, D.

    2000-11-29

    This paper describes the creation of a comprehensive wind energy resource atlas for the Philippines. The atlas was created to facilitate the rapid identification of good wind resource areas and understanding of the salient wind characteristics. Detailed wind resource maps were generated for the entire country using an advanced wind mapping technique and innovative assessment methods recently developed at the National Renewable Energy Laboratory.

  1. Renewable Energy Atlas of the United States

    SciTech Connect

    Kuiper, J.; Hlava, K.; Greenwood, H.; Carr, A.

    2013-12-13

    The Renewable Energy Atlas (Atlas) of the United States is a compilation of geospatial data focused on renewable energy resources, federal land ownership, and base map reference information. This report explains how to add the Atlas to your computer and install the associated software. The report also includes: A description of each of the components of the Atlas; Lists of the Geographic Information System (GIS) database content and sources; and A brief introduction to the major renewable energy technologies. The Atlas includes the following: A GIS database organized as a set of Environmental Systems Research Institute (ESRI) ArcGIS Personal GeoDatabases, and ESRI ArcReader and ArcGIS project files providing an interactive map visualization and analysis interface.

  2. METALLURGICAL CHARACTERIZATION OF ATLAS CYLINDRICALLY CONVERGENT SPALLATION EXPERIMENTS.

    SciTech Connect

    Thissell, W. R.; Cerreta, E. K.; Anderson, W. A.; Atchison, W. A.; Cochrane, J. C.; Kaul, Ann M.; Keinigs, R. K.; Ladish, J. S.; Lindemuth, I. R.; Oro, D. M.; Paisley, D.; G. Rodriguez,; Salazar, M. A.; Stokes, J. L.; Taylor, A. J.; Tonks, D. L.

    2003-07-18

    The microstructural distribution and nature of damage from three different cylindrically convergent spallation experiments performed on the pulsed power machine named Atlas are presented. Longitudinal momentum trapping was used to minimize the influence of release waves and thereby decrease the dimensionality of the experiments. Two of the experiments involved soft capture of the spalled piece. The material used is a proprietary directionally cast Al alloy with a mostly equiaxed grain morphology and essentially random texture in the region of spallation. The damage was most distributed in the lowest impact velocity shot and became progressively more narrow with increasing impact velocity. The effectiveness of the momentum trap design increased with increasing impact velocity.

  3. Upgrading the ATLAS control system

    SciTech Connect

    Munson, F.H.; Ferraretto, M.

    1993-09-01

    Heavy-ion accelerators are tools used in the research of nuclear and atomic physics. The ATLAS facility at the Argonne National Laboratory is one such tool. The ATLAS control system serves as the primary operator interface to the accelerator. A project to upgrade the control system is presently in progress. Since this is an upgrade project and not a new installation, it was imperative that the development work proceed without interference to normal operations. An additional criteria for the development work was that the writing of additional ``in-house`` software should be kept to a minimum. This paper briefly describes the control system being upgraded, and explains some of the reasons for the decision to upgrade the control system. Design considerations and goals for the new system are described, and the present status of the upgrade is discussed.

  4. atlasUserMeeting14

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    GRETINA Mario Cromaz, LBNL Work supported under contract number DE-AC02-05CH11231. 2014 ATLAS User's Meeting ANL - May 15-16, 2014 The GRETINA Spectrometer 2 * first generation gamma-ray tracking array * spherical shell of Ge covering 25% of available solid angle (scalable to full 4 coverage) * consists of seven 4-crystal modules (quads), 36-way segmented HPGe crystals (1000 segments) * tracking ability removes need for active suppression, scales to very high efficiencies * physics runs now

  5. ATLAS at the LHC | Argonne National Laboratory

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ATLAS at the LHC ATLAS at the LHC The Large Hadron Collider in Geneva, Switzerland is the largest physics machine on Earth, and involves a collaboration of thousands of scientists who have used it to investigate the structure and properties of the tiniest building blocks of matter. At one of the experiments being performed on the LHC, called ATLAS, more than 3,000 scientists have undertaken the search for new discoveries based upon the head-on collisions of protons of extraordinarily high

  6. Mafic Atlas: Looking at basalt rock formations for potential carbon sequestration application

    DOE Data Explorer

    Basalt formations are prevalent in the Big Sky region, and while less studied than other potential storage sites for CO2, they may play an important role in geologic sequestration due to their unique geochemical and physical properties. Regionally, basalts offer significant long-term storage potential estimated in the range of 33-134 billion metric tons. These estimates scaled globally suggest that the five largest basalt provinces could sequester 10,000 years of the world’s CO2 emissions. Basalt provinces are globally distributed and could significantly expand CO2 storage options in regions where conventional storage is limited or non-existent. BSCSP and Idaho State University developed a national Mafic Atlas to assess the sequestration potential of basalts through modeling studies, laboratory testing, and insights developed from mafic rock pilot projects. The Mafic Atlas online mapping application highlights the Columbia River Basalt Group in Washington and Oregon and its proximity to the West Coast power load. Features of the map include: • Carbon storage capacity estimates for regional basalt provinces • Click-able well locations that link to US Geological Survey well log datasets • Live GeoRSS feeds and an address finder • Custom drawing and printing tools to create your own map • Search tools to explore the Mafic database. [copied from http://www.bigskyco2.org/atlas/mafic

  7. Canadian Wind Energy Atlas Potential Website | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    URI: cleanenergysolutions.orgcontentcanadian-wind-energy-atlas-potential- Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance...

  8. Atlas of solar hidden photon emission

    SciTech Connect

    Redondo, Javier

    2015-07-20

    Hidden photons, gauge bosons of a U(1) symmetry of a hidden sector, can constitute the dark matter of the universe and a smoking gun for large volume compactifications of string theory. In the sub-eV mass range, a possible discovery experiment consists on searching the copious flux of these particles emitted from the Sun in a helioscope setup à la Sikivie. In this paper, we compute in great detail the flux of HPs from the Sun, a necessary ingredient for interpreting such experiments. We provide a detailed exposition of transverse photon-HP oscillations in inhomogenous media, with special focus on resonance oscillations, which play a leading role in many cases. The region of the Sun emitting HPs resonantly is a thin spherical shell for which we justify an averaged-emission formula and which implies a distinctive morphology of the angular distribution of HPs on Earth in many cases. Low mass HPs with energies in the visible and IR have resonances very close to the photosphere where the solar plasma is not fully ionised and requires building a detailed model of solar refraction and absorption. We present results for a broad range of HP masses (from 0–1 keV) and energies (from the IR to the X-ray range), the most complete atlas of solar HP emission to date.

  9. Kingdom of Saudi Arabia Solar Radiation Atlas

    SciTech Connect

    NREL

    1998-12-16

    This atlas provides a record of monthly mean solar radiation generated by a Climatological Solar Radiation model, using quasi-climatological inputs of cloud cover, aerosol optical depth, precipitable water vapor, ozone, surface albedo, and atmospheric pressure.

  10. Atlas Lighting: Proposed Penalty (2015-CE-48001)

    Energy.gov [DOE]

    DOE alleged in a Notice of Proposed Civil Penalty that Atlas Lighting Products failed to certify a variety of illuminated exit sign basic models as compliant with the applicable energy conservation standards.

  11. Microsoft PowerPoint - ATLAS_upgrade_physics_program

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Guy Savard Argonne National Laboratory and University of Chicago Science with the ATLAS Efficiency and Intensity Upgrade ATLAS Users Meeting August 8-9 2009 2 G. Savard 2009 ATLAS S&T Review May 18-19, 2009 Outline Evolving landscape for low-energy nuclear physics Self-assessment of ATLAS present and near future program Process followed to evaluate near and longer term physics program needs and role in community Option proposed - Physics - Machine - Instrumentation 3 G. Savard 2009 ATLAS

  12. SOPAC marine geology atlases

    SciTech Connect

    Chase, T.E.; Seekins, B.A.; Young, J.D.; Wahler, J.A.

    1986-07-01

    The US Geological Survey conducted a series of marine geologic and geophysical cruises in the southwest Pacific Ocean in 1982 and 1984 as part of a program with participation by Australia and New Zealand. These two SOPAC expeditions obtained various data, which have been compiled into a series of charts and thematic products for the offshore areas of Tonga, Fiji, Vanuatu, the Solomon Islands, and Papua New Guinea. The maps and charts presently being compiled or revised combine previously collected data with information from the SOPAC expeditions. Regional charts at a scale of approximately 1:3 million are included, and more detailed coverage is available at 1:1 million. Additional geologic information-such as gravity, magnetics, and possibly sediment isopachs-is provided on overlays to the topographic base charts. Reproductions of the seismic reflection data are also included, and tracklines with both time marks and shotpoints will permit correlation with the analog and digital seismic records.

  13. Renewable energy atlas of the United States.

    SciTech Connect

    Kuiper, J.A.; Hlava, K.Greenwood, H.; Carr, A.

    2012-05-01

    The Renewable Energy Atlas (Atlas) of the United States is a compilation of geospatial data focused on renewable energy resources, federal land ownership, and base map reference information. It is designed for the U.S. Department of Agriculture Forest Service (USFS) and other federal land management agencies to evaluate existing and proposed renewable energy projects. Much of the content of the Atlas was compiled at Argonne National Laboratory (Argonne) to support recent and current energy-related Environmental Impact Statements and studies, including the following projects: (1) West-wide Energy Corridor Programmatic Environmental Impact Statement (PEIS) (BLM 2008); (2) Draft PEIS for Solar Energy Development in Six Southwestern States (DOE/BLM 2010); (3) Supplement to the Draft PEIS for Solar Energy Development in Six Southwestern States (DOE/BLM 2011); (4) Upper Great Plains Wind Energy PEIS (WAPA/USFWS 2012, in progress); and (5) Energy Transport Corridors: The Potential Role of Federal Lands in States Identified by the Energy Policy Act of 2005, Section 368(b) (in progress). This report explains how to add the Atlas to your computer and install the associated software; describes each of the components of the Atlas; lists the Geographic Information System (GIS) database content and sources; and provides a brief introduction to the major renewable energy technologies.

  14. L1 track triggers for ATLAS in the HL-LHC

    DOE PAGES [OSTI]

    Lipeles, E.

    2012-01-01

    The HL-LHC, the planned high luminosity upgrade for the LHC, will increase the collision rate in the ATLAS detector approximately a factor of 5 beyond the luminosity for which the detectors were designed, while also increasing the number of pile-up collisions in each event by a similar factor. This means that the level-1 trigger must achieve a higher rejection factor in a more difficult environment. This presentation discusses the challenges that arise in this environment and strategies being considered by ATLAS to include information from the tracking systems in the level-1 decision. The main challenges involve reducing the data volumemore » exported from the tracking system for which two options are under consideration: a region of interest based system and an intelligent sensor method which filters on hits likely to come from higher transverse momentum tracks.« less

  15. ATLAS note ATL-COM-PHYS-2009.

    SciTech Connect

    Chekanov, S.; Boomsma, J.; High Energy Physics

    2009-12-22

    The program InvMass has been developed to perform a general model-independent search for new particles using the ATLAS detector at the Large Hadron Collider (LHC), a proton-proton collider at CERN. The search is performed by examining statistically significant variations from the Standard Model predictions in exclusive event classes classified according to the number of identified objects. The program, called InvMass, finds all relevant particle groups identified with the ATLAS detector and analyzes their production rates, invariant masses and the total transverse momenta. The generic code of InvMass can easily be adapted for any particle types identified with the ATLAS detector. Several benchmark tests are presented.

  16. ATLAS DISCOVERY POTENTIAL FOR A HEAVY CHARGED HIGGS BOSON.

    SciTech Connect

    ASSAMAGAN,K.A.; COADOU,Y.; DEANDREA,A.

    2002-02-01

    The sensitivity of the ATLAS detector to the discovery of a heavy charged Higgs boson is presented. Assuming a heavy SUSY spectrum, the most promising channels above the top quark mass are H{sup {+-}} {yields} tb and h{sup {+-}} {yields} {tau}{sup {+-}}{nu}{sub {tau}} which provide coverage in the low and high tan {beta} regions up to {approx} 600 GeV. The achievable precisions on the charged Higgs mass and tan {beta} determination are also discussed. The H{sup {+-}} {yields} W{sup {+-}}h{sup 0} channel, though restricted to a small MSSM parameter space, shows a viable signal in NMSSM where the parameter space is less constrained. The observation of the channel H{sup -} {yields} {tau}{sub L}{sup -} {nu}{sub {tau}} + c.c. may constitute a distinctive evidence for models with singlet neutrinos in large extra dimensions.

  17. NREL Releases BioEnergy Atlas - a Comprehensive Biomass Mapping

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Application - News Releases | NREL NREL Releases BioEnergy Atlas - a Comprehensive Biomass Mapping Application September 28, 2010 BioEnergy Atlas, a Web portal that provides access to two bioenergy analysis and mapping tools, was released today by the U.S. Department of Energy's National Renewable Energy Laboratory (NREL). The visualization screening tools, BioPower and BioFuels Atlas, allow users to layer related bioenergy data onto a single map to gather information on biomass feedstocks,

  18. Argonne Tandem Linac Accelerator System (ATLAS) Fact Sheet | Argonne

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    National Laboratory Argonne Tandem Linac Accelerator System (ATLAS) Fact Sheet The ATLAS facility is a leading facility for nuclear structure research in the United States. Any stable ion can be accelerated in ATLAS, the world's first superconducting linear accelerator for ions, and delivered to one of its several target stations. It provides a wide range of beams for nuclear reaction and structure research to a large community of users from the United States and abroad. About 20% of

  19. Advances in Ion Accelerators Boost Argonne's ATLAS User Facility...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Advances in Ion Accelerators Boost Argonne's ATLAS User Facility Nuclear Physics (NP) NP Home About Research Facilities Science Highlights Benefits of NP Funding Opportunities ...

  20. Microsoft PowerPoint - CJC_ATLAS09 [Compatibility Mode]

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    transfer using RIB + 7 Li ti t ATLAS reactions at ATLAS W. B. Walters, C. J. Chiara ATLAS Workshop 8 August 2009 * Investigation of single-particle and i l h l t t single-hole states in neutron-rich nuclei e g near nuclei, e.g. near N=82 (energies, spins parities ) spins, parities...). * Idea presented here is "borrowed", but serves as a reminder of how recently developed techniques y p q can be extended to future ATLAS use. Pioneering work by D. C. Radford: highly selective study of n

  1. Wind Resource Atlas of Oaxaca | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    characteristics and distribution of wind resources in Oaxaca, Mexico, at a wind power density of 50 meters above ground. The detailed wind resource maps contained in the atlas...

  2. ATLAS Large Scale Thin Gap Chambers

    SciTech Connect

    Soha, Aria

    2014-04-29

    This is a technical scope of work (TSW) between the Fermi National Accelerator Laboratory (Fermilab) and the experimenters of the ATLAS sTGC New Small Wheel collaboration who have committed to participate in beam tests to be carried out during the FY2014 Fermilab Test Beam Facility program.

  3. United States Atlas of Renewable Resources

    DOE Data Explorer

    The Atlas is an interactive application of the renewable energy resources in the contiguous United States, Alaska and Hawaii. It illustrates the geographic distribution of wind, solar, geothermal, and biomass resources, as well as other pertinent information such as transportation network and administrative boundaries.[Copied from http://www.nrel.gov/gis/maps.html

  4. Two-stage atlas subset selection in multi-atlas based image segmentation

    SciTech Connect

    Zhao, Tingting Ruan, Dan

    2015-06-15

    Purpose: Fast growing access to large databases and cloud stored data presents a unique opportunity for multi-atlas based image segmentation and also presents challenges in heterogeneous atlas quality and computation burden. This work aims to develop a novel two-stage method tailored to the special needs in the face of large atlas collection with varied quality, so that high-accuracy segmentation can be achieved with low computational cost. Methods: An atlas subset selection scheme is proposed to substitute a significant portion of the computationally expensive full-fledged registration in the conventional scheme with a low-cost alternative. More specifically, the authors introduce a two-stage atlas subset selection method. In the first stage, an augmented subset is obtained based on a low-cost registration configuration and a preliminary relevance metric; in the second stage, the subset is further narrowed down to a fusion set of desired size, based on full-fledged registration and a refined relevance metric. An inference model is developed to characterize the relationship between the preliminary and refined relevance metrics, and a proper augmented subset size is derived to ensure that the desired atlases survive the preliminary selection with high probability. Results: The performance of the proposed scheme has been assessed with cross validation based on two clinical datasets consisting of manually segmented prostate and brain magnetic resonance images, respectively. The proposed scheme demonstrates comparable end-to-end segmentation performance as the conventional single-stage selection method, but with significant computation reduction. Compared with the alternative computation reduction method, their scheme improves the mean and medium Dice similarity coefficient value from (0.74, 0.78) to (0.83, 0.85) and from (0.82, 0.84) to (0.95, 0.95) for prostate and corpus callosum segmentation, respectively, with statistical significance. Conclusions: The authors

  5. Targets for the APEX experiment at ATLAS

    SciTech Connect

    Greene, J.P.; Thomas, G.E.; Leonard, R.H.

    1994-12-31

    Targets of lead, tantalum, thorium and uranium have been produced for experiments with the APEX (Argonne Positron Experiment) apparatus at ATLAS (Argonne Tandem Linac Accelerator System). APEX is a device built at Argonne National Laboratory to investigate the anomalous positrons observed in collisions of very heavy ion beams on heavy targets. Both fixed and rotating targets have been used. The rotating target system involves a 4-quadrant wheel rotating at speeds up to 700 rpm with the position encoded into the data stream. In addition to the hundreds of targets produced for the heavy-ion reactions studied, a wide variety of targets were employed for beam diagnostics, detector calibration and target wheel development. The experiment used very heavy ion beams ({sup 238}U, {sup 206}Pb and {sup 208}Pb) from ATLAS and targets of {sup 206}Pb, {sup 208}Pb, {sup 232}Th and {sup 238}U produced in the laboratory.

  6. Recent Higgs results from the ATLAS experiment

    SciTech Connect

    Brendlinger, Kurt; Collaboration: ATLAS Collaboration

    2014-06-24

    This paper presents recent results on the Higgs boson from the ATLAS experiment at the Large Hadron Collider. The Collaboration reports on measurements of the signal strength, couplings, and spin of the Higgs in several decay channels. We find all measurements to be consistent with Standard Model predictions. The Higgs branching fraction to invisible particles is constrained and no evidence of physics beyond the Standard Model is found.

  7. Controls and data acquisition on Atlas

    SciTech Connect

    Scudder, D.W.; Hosack, K.W.; Parsons, W.M.; Reass, W.A.; Thompson, M.C.; Wysocki, F.J.; Creager, J.

    1997-09-01

    The control and data acquisition systems for Atlas will use a large degree of decentralization. By distributing control points close to the systems being controlled, the authors expect to simplify the task of isolating electronic systems from the large expected EMI pulses, allow connection of the various parts of the system by high-level fiber-optic networks, allow a simple configuration of the control and data acquisition screen rooms, and simplify the software efforts through the resulting modularization. The Atlas control system must control capacitor charging, machine and diagnostic timing and triggering, marx module diagnostics, vacuum systems, gas handling for railgaps, safety interlocks, and oil handling. Many of these tasks will be performed by industrial-style programmable logic controllers (PLCs). Each of 38 Marx bank maintenance units will have a control and diagnostic package which will monitor both charging and discharging current and railgap trigger timing. An unusual feature of digitizers to record each Marx module`s output waveform, plus nanosecond resolution time interval meters to record the firing time of each railgap. The machine data acquisition system for Atlas will be built around an SQL database, use National Instruments LabVIEW software to control data acquisition instruments and provide links for a variety of experimentalists` data analysis packages. World Wide Web access will provide an interface through which users can monitor experimental data and machine status.

  8. Feasibility Study of Economics and Performance of Solar PV at the Atlas Industrial Park in Duluth, Minnesota

    SciTech Connect

    Steen, M.; Lisell, L.; Mosey, G.

    2013-01-01

    The U.S. Environmental Protection Agency (EPA) Region 5, in accordance with the RE-Powering America's Land initiative, selected the Atlas Industrial Park in Duluth, Minnesota, for a feasibility study of renewable energy production. The EPA provided funding to the National Renewable Energy Laboratory (NREL) to support a feasibility study of solar renewable energy generation at the Atlas Industrial Park. NREL provided technical assistance for this project but did not assess environmental conditions at the site beyond those related to the performance of a photovoltaic (PV) system. The purpose of this study is to assess the site for a possible PV installation and estimate the cost, performance, and site impacts of different PV configurations. In addition, the study evaluates financing options that could assist in the implementation of a PV system at the site.

  9. Enhancing atlas based segmentation with multiclass linear classifiers

    SciTech Connect

    Sdika, Michaël

    2015-12-15

    Purpose: To present a method to enrich atlases for atlas based segmentation. Such enriched atlases can then be used as a single atlas or within a multiatlas framework. Methods: In this paper, machine learning techniques have been used to enhance the atlas based segmentation approach. The enhanced atlas defined in this work is a pair composed of a gray level image alongside an image of multiclass classifiers with one classifier per voxel. Each classifier embeds local information from the whole training dataset that allows for the correction of some systematic errors in the segmentation and accounts for the possible local registration errors. The authors also propose to use these images of classifiers within a multiatlas framework: results produced by a set of such local classifier atlases can be combined using a label fusion method. Results: Experiments have been made on the in vivo images of the IBSR dataset and a comparison has been made with several state-of-the-art methods such as FreeSurfer and the multiatlas nonlocal patch based method of Coupé or Rousseau. These experiments show that their method is competitive with state-of-the-art methods while having a low computational cost. Further enhancement has also been obtained with a multiatlas version of their method. It is also shown that, in this case, nonlocal fusion is unnecessary. The multiatlas fusion can therefore be done efficiently. Conclusions: The single atlas version has similar quality as state-of-the-arts multiatlas methods but with the computational cost of a naive single atlas segmentation. The multiatlas version offers a improvement in quality and can be done efficiently without a nonlocal strategy.

  10. The ATLAS Experiment: Getting Ready for the LHC

    SciTech Connect

    Jenni, Peter

    2006-05-15

    At CERN the Large Hadron Collider (LHC) project is well advanced. First proton-proton collisions at the high-energy frontier are expected for the second half of 2007. In parallel to the collider construction the powerful general-purpose ATLAS detector is being assembled in its underground cavern by a world-wide collaboration. ATLAS will explore new domains of particle physics. After briefly overviewing the LHC construction and installation progress, the status of the ATLAS experiment will be presented, including examples of the exciting prospects for new physics.

  11. Regional Purchasing

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Regional Partnerships Regional Partnerships DOE's Regional Carbon Sequestration Partnerships Program DOE has created a network of seven Regional Carbon Sequestration Partnerships (RCSPs) to help develop the technology, infrastructure, and regulations to implement large-scale CO2 storage (also called carbon sequestration) in different regions and geologic formations within the Nation. Collectively, the seven RCSPs represent regions encompassing: 97 percent of coal-fired CO2 emissions; 97 percent

  12. Progress with the Single-Sided Module Prototypes for the ATLAS Tracket Upgrade Stave

    SciTech Connect

    Allport, P.P.; Li, Z.; Affolder, A.A.; Anghinolfi, F.; Bates, R. et al.

    2010-06-04

    The ATLAS experiment is preparing for the planned luminosity upgrade of the LHC (the super-luminous LHC or sLHC) with a programme of development for tracking able to withstand an order of greater magnitude radiation fluence and much greater hit occupancy rates than the current detector. This has led to the concept of an all-silicon tracker with an enhanced performance pixel-based inner region and short-strips for much of the higher radii. Both sub-systems employ many common technologies, including the proposed 'stave' concept for integrated cooling and support. For the short-strip region, use of this integrated stave concept requires single-sided modules mounted on either side of a thin central lightweight support. Each sensor is divided into four rows of 23.82 mm length strips; within each row, there are 1280 strips of 74.5 {mu}m pitch. Well over a hundred prototype sensors are being delivered by Hamamatsu Photonics (HPK) to Japan, Europe and the US. We present results of the first 20 chip ABCN25 ASIC hybrids for these sensors, results of the first prototype 5120 strip module built with 40 ABCN25 read-out ASICs, and the status of the hybrids and modules being developed for the ATLAS tracker upgradestave programme.

  13. A New ATLAS Muon CSC Readout System with System on Chip Technology...

    Office of Scientific and Technical Information (OSTI)

    A New ATLAS Muon CSC Readout System with System on Chip Technology on ATCA Platform Citation Details In-Document Search Title: A New ATLAS Muon CSC Readout System with System on...

  14. Wind Atlas Analysis and Application Program (WAsP) | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    Atlas Analysis and Application Program (WAsP) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Wind Atlas Analysis and Application Program (WAsP) AgencyCompany...

  15. Coeur d Alene Fiber Fuels Inc aka Atlas | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Coeur d Alene Fiber Fuels Inc aka Atlas Jump to: navigation, search Name: Coeur d' Alene Fiber Fuels, Inc. (aka Atlas) Place: Hauser, Idaho Zip: ID 83854 Product: Coeur...

  16. NETL's 2015 Carbon Storage Atlas Shows Increase in U.S. CO2 Storage...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    NETL's 2015 Carbon Storage Atlas Shows Increase in U.S. CO2 Storage Potential NETL's 2015 Carbon Storage Atlas Shows Increase in U.S. CO2 Storage Potential September 28, 2015 - ...

  17. Wind Energy Resource Atlas of the Dominican Republic

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    October 2001 * NRELTP-500-27602 Wind Energy Resource Atlas of the Dominican Republic D. Elliott M. Schwartz R. George S. Haymes D. Heimiller G. Scott National Renewable Energy...

  18. Wind Energy Resource Atlas of Armenia (CD-ROM)

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Resource Atlas of Armenia (CD-ROM) http:www.nrel.govdocsfy03osti33877CD.zip (ZIP 31.9 MB) NRELCD-500-33877 July 2003 Instructions: The URL above links to a zipped archive...

  19. Vermont Agency of Natural Resources Natural Resources Atlas ...

    OpenEI (Open Energy Information) [EERE & EIA]

    Vermont Agency of Natural Resources Natural Resources Atlas Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Vermont Agency of Natural Resources Natural...

  20. PROJECT PROFILE: Abengoa Solar, LLC - ATLAS | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    INNOVATION The Advanced Trough with Lower-cost System-Architecture design (ATLAS) builds upon the state-of-the-art SpaceTube large-aperture collector and SolarMat innovative ...

  1. Argonne Physics Division - ATLAS - PAC September 19, 2014

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    September 19, 2014 ATLAS PAC Meeting Please note: Because of the pressure on ATLAS beam time, the PAC ranked the approved experiments in two categories. Priority I experiments are those that must be run at all costs. Priority II experiments are those that should be granted beam time (indicated in parenthesis) if at all possible. Priority I experiments are approved for the present cycle of experiments, but can be run during the next PAC cycle as well if scheduling conflicts occur. Priority II

  2. Comment on measuring the tt forward-backward asymmetry at ATLAS and CMS

    SciTech Connect

    Arguin, Jean-Francois; Ligeti, Zoltan; Freytsis, Marat

    2011-10-01

    We suggest a new possibility for ATLAS and CMS to explore the tt forward-backward asymmetry measured at the Tevatron, by attempting to reconstruct tt events, with one of the tops decaying semileptonically in the central region (|{eta}|<2.5) and the other decaying hadronically in the forward region (|{eta}|>2.5). For several models which give comparable Tevatron signals, we study the charge asymmetry at the LHC as a function of cuts on |{eta}| and on the tt invariant mass, m{sub tt}. We show that there is an interesting complementarity between cuts on |{eta}| and m{sub tt} to suppress the dominant and symmetric gg{yields}tt rate, and different combinations of cuts enhance the distinguishing power between models. This complementarity is likely to hold in other new physics scenarios as well, which affect the tt cross section, so it motivates extending tt reconstruction to higher |{eta}|.

  3. Atlas Multimedia Educational Lab for Interactive Analysis

    Energy Science and Technology Software Center

    2008-04-01

    AMELIA is an application with focus on particle physics processes in ATLAS. This will allow students and othe users to decode the collision events that unfold after the head-on collisions of protons at the Large hadron Collider. AMELIA uses the Irrlicht engine for the 3D graphics and wxWidgets for the interface. It uses the best aspects of technical animation and allows users to control 3D representations of collision events and to manipulate 3D models ofmore » the detector and see how particles are detected as they pass through. It allows the user to rotate, zoom and select virtual pieces of the ATLAS detector and events. The characteristics of the events (momentum etc.) can also be read, and one can select tracks for analysis, activate context-oriented media, etc. This framework intends to integrate different types of media into a single product. This way, videos, animations, sound, interactive visualization and data analysis will be bound together in the same package.-« less

  4. Atlas Multimedia Educational Lab for Interactive Analysis

    SciTech Connect

    Pequenao, Joao

    2008-04-01

    AMELIA is an application with focus on particle physics processes in ATLAS. This will allow students and othe users to decode the collision events that unfold after the head-on collisions of protons at the Large hadron Collider. AMELIA uses the Irrlicht engine for the 3D graphics and wxWidgets for the interface. It uses the best aspects of technical animation and allows users to control 3D representations of collision events and to manipulate 3D models of the detector and see how particles are detected as they pass through. It allows the user to rotate, zoom and select virtual pieces of the ATLAS detector and events. The characteristics of the events (momentum etc.) can also be read, and one can select tracks for analysis, activate context-oriented media, etc. This framework intends to integrate different types of media into a single product. This way, videos, animations, sound, interactive visualization and data analysis will be bound together in the same package.-

  5. Expected Performance of the ATLAS Experiment - Detector, Trigger and Physics

    SciTech Connect

    Aad, G.; Abat, E.; Abbott, B.; Abdallah, J.; Abdelalim, A.A.; Abdesselam, A.; Abdinov, O.; Abi, B.; Abolins, M.; Abramowicz, H.; Acharya, Bobby Samir; Adams, D.L.; Addy, T.N.; Adorisio, C.; Adragna, P.; Adye, T.; Aguilar-Saavedra, J.A.; Aharrouche, M.; Ahlen, S.P.; Ahles, F.; Ahmad, A.; /SUNY, Albany /Alberta U. /Ankara U. /Annecy, LAPP /Argonne /Arizona U. /Texas U., Arlington /Athens U. /Natl. Tech. U., Athens /Baku, Inst. Phys. /Barcelona, IFAE /Belgrade U. /VINCA Inst. Nucl. Sci., Belgrade /Bergen U. /LBL, Berkeley /Humboldt U., Berlin /Bern U., LHEP /Birmingham U. /Bogazici U. /INFN, Bologna /Bologna U.

    2011-11-28

    The Large Hadron Collider (LHC) at CERN promises a major step forward in the understanding of the fundamental nature of matter. The ATLAS experiment is a general-purpose detector for the LHC, whose design was guided by the need to accommodate the wide spectrum of possible physics signatures. The major remit of the ATLAS experiment is the exploration of the TeV mass scale where groundbreaking discoveries are expected. In the focus are the investigation of the electroweak symmetry breaking and linked to this the search for the Higgs boson as well as the search for Physics beyond the Standard Model. In this report a detailed examination of the expected performance of the ATLAS detector is provided, with a major aim being to investigate the experimental sensitivity to a wide range of measurements and potential observations of new physical processes. An earlier summary of the expected capabilities of ATLAS was compiled in 1999 [1]. A survey of physics capabilities of the CMS detector was published in [2]. The design of the ATLAS detector has now been finalised, and its construction and installation have been completed [3]. An extensive test-beam programme was undertaken. Furthermore, the simulation and reconstruction software code and frameworks have been completely rewritten. Revisions incorporated reflect improved detector modelling as well as major technical changes to the software technology. Greatly improved understanding of calibration and alignment techniques, and their practical impact on performance, is now in place. The studies reported here are based on full simulations of the ATLAS detector response. A variety of event generators were employed. The simulation and reconstruction of these large event samples thus provided an important operational test of the new ATLAS software system. In addition, the processing was distributed world-wide over the ATLAS Grid facilities and hence provided an important test of the ATLAS computing system - this is the origin of

  6. Midcontinent Interactive Digital Carbon Atlas and Relational Database (MIDCARB)

    SciTech Connect

    Timothy R. Carr; Scott W. White

    2002-06-01

    This annual report describes progress of the project entitled ''Midcontinent Interactive Digital Carbon Atlas and Relational Database (MIDCARB)''. This project, funded by the Department of Energy, is a cooperative project that assembles a consortium of five states (Indiana, Illinois, Kansas, Kentucky and Ohio) to construct an online distributed Relational Database Management System (RDBMS) and Geographic Information System (GIS) covering aspects of carbon dioxide geologic sequestration (http://www.midcarb.org). The system links the five states in the consortium into a coordinated regional database system consisting of datasets useful to industry, regulators and the public. The project is working to provide advanced distributed computing solutions to link database servers across the five states into a single system where data is maintained at the local level but is accessed through a single Web portal and can be queried, assembled, analyzed and displayed. Each individual state has strengths in data gathering, data manipulation and data display, including GIS mapping, custom application development, web development, and database design. Sharing of expertise provides the critical mass of technical expertise to improve CO{sub 2} databases and data access in all states. This project improves the flow of data across servers in the five states and increases the amount and quality of available digital data. The MIDCARB project is developing improved online tools to provide real-time display and analyze CO{sub 2} sequestration data. The system links together data from sources, sinks and transportation within a spatial database that can be queried online. Visualization of high quality and current data can assist decision makers by providing access to common sets of high quality data in a consistent manner.

  7. Regional Partnerships

    Energy.gov [DOE]

    DOE has created a network of seven Regional Carbon Sequestration Partnerships (RCSPs) to help develop the technology, infrastructure, and regulations to implement large-scale CO2 storage (also...

  8. Argonne Physics Division - ATLAS - PAC December 14-15, 2012

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    December 14-15, 2012 ATLAS PAC Meeting Please note: Because of the pressure on ATLAS beam time, the PAC ranked the approved experiments in two categories. Priority I experiments are those that must be run at all costs. Priority II experiments are those that should be granted beam time (indicated in parenthesis) if at all possible. Priority I experiments are approved for the present cycle of experiments, but can be run during the next PAC cycle as well if scheduling conflicts occur. Priority II

  9. Argonne Physics Division - ATLAS - PAC December 14-15, 2012

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    November 22-23, 2013 ATLAS PAC Meeting Please note: Because of the pressure on ATLAS beam time, the PAC ranked the approved experiments in two categories. Priority I experiments are those that must be run at all costs. Priority II experiments are those that should be granted beam time (indicated in parenthesis) if at all possible. Priority I experiments are approved for the present cycle of experiments, but can be run during the next PAC cycle as well if scheduling conflicts occur. Priority II

  10. Argonne Physics Division - ATLAS - PAC January 13-14, 2012

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    January 13-14, 2012 ATLAS PAC Meeting Please note: Because of the pressure on ATLAS beam time, the PAC ranked the approved experiments in two categories. Priority I experiments are those that must be run at all costs. Priority II experiments are those that should be granted beam time (indicated in parenthesis) if at all possible. Priority I experiments are approved for the present cycle of experiments, but can be run during the next PAC cycle as well if scheduling conflicts occur. Priority II

  11. Argonne Physics Division - ATLAS - PAC March 08, 2015

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    March 08-09, 2015 ATLAS PAC Meeting Please note: Because of the pressure on ATLAS beam time, the PAC ranked the approved experiments in two categories. Priority I experiments are those that must be run at all costs. Priority II experiments are those that should be granted beam time (indicated in parenthesis) if at all possible. Priority I experiments are approved for the present cycle of experiments, but can be run during the next PAC cycle as well if scheduling conflicts occur. Priority II

  12. Argonne Physics Division - ATLAS - PAC November 6, 2015

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    November 06-07, 2015 ATLAS PAC Meeting Please note: Because of the pressure on ATLAS beam time, the PAC ranked the approved experiments in two categories. Priority I experiments are those that must be run at all costs. Priority II experiments are those that should be granted beam time (indicated in parenthesis) if at all possible. Priority I experiments are approved for the present cycle of experiments, but can be run during the next PAC cycle as well if scheduling conflicts occur. Priority II

  13. Argonne Physics Division - ATLAS - PAC November 6, 2015

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    October 21-22, 2016 ATLAS PAC Meeting Please note: Because of the pressure on ATLAS beam time, the PAC ranked the approved experiments in two categories. Priority I experiments are those that must be run at all costs. Priority II experiments are those that should be granted beam time (indicated in parenthesis) if at all possible. Priority I experiments are approved for the present cycle of experiments, but can be run during the next PAC cycle as well if scheduling conflicts occur. Priority II

  14. Status of the AFP project in the ATLAS experiment

    SciTech Connect

    Taevsk, Marek

    2015-04-10

    Status of the AFP project in the ATLAS experiment is summarized. The AFP system is composed of a tracker to detect intact, diffractively scattered protons, and of a time-of-flight detector serving to suppress background from pile-up interactions. The whole system, located around 210?m from the main ATLAS detector, is placed in Roman Pots which move detectors from and to the incident proton beams. A typical distance of the closest approach of the tracker to these beams is 23?mm. The main physics motivation lies in measuring diffractive processes in runs with not a very high amount of pile-up.

  15. MIDCONTINENT INTERACTIVE DIGITAL CARBON ATLAS AND RELATIONAL DATABASE (MIDCARB)

    SciTech Connect

    Timothy R. Carr; Scott W. White

    2003-07-01

    This annual report describes progress in the second year of the three-year project entitled ''Midcontinent Interactive Digital Carbon Atlas and Relational Database (MIDCARB)''. This project, funded by the Department of Energy, is a cooperative project that assembles a consortium of five states (Indiana, Illinois, Kansas, Kentucky and Ohio) to construct an online distributed Relational Database Management System (RDBMS) and Geographic Information System (GIS) covering aspects of carbon dioxide geologic sequestration (http://www.midcarb.org). The system links the five states in the consortium into a coordinated regional database system consisting of datasets useful to industry, regulators and the public. The project is providing advanced distributed computing solutions to link database servers across the five states into a single system where data is maintained at the local level but is accessed through a single Web portal and can be queried, assembled, analyzed and displayed. Each individual state has strengths in data gathering, data manipulation and data display, including GIS mapping, custom application development, web development, and database design. Sharing of expertise provides the critical mass of technical expertise to improve CO{sub 2} databases and data access in all states. This project improves the flow of data across servers in the five states and increases the amount and quality of available digital data. Data is being assembled to analyze CO{sub 2} sequestration potential from a single object (e.g., power plant or well) to a region and across geographic boundaries. The MIDCARB system is robust and capable of being updated from multiple sources on a daily basis. The MIDCARB project has developed improved online tools to provide real-time display and analysis of CO{sub 2} sequestration data. The MIDCARB project is a functional template for distributed data systems to address CO{sub 2} sequestration and other natural resource issues that cross the

  16. Meeting with Atlas Copco [I-AMS.FID3644896] | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    with Atlas Copco [I-AMS.FID3644896] Meeting with Atlas Copco [I-AMS.FID3644896] Dear Pete: Attached is another electronic copy of the PowerPoint presentation made by my client, Atlas Copco, at yesterday's meeting by Luc De Beul, Vice President for New Business Technologies. As we discussed prior to and at the meeting, it is expected that these materials, the list of attendees and this summary of our discussion will be put in the public docket. Meeting with Atlas Copco (81.63 KB) More Documents

  17. ATLAS/BNL Physicist Marc-Andre Pleier Explains the Higgs Mechanism

    ScienceCinema

    Pleier,Marc-Andre

    2016-07-12

    ATLAS/BNL Physicist Marc-Andre Pleier explains his role in analyzing data from the Large Hadron Collider and the search for the Higgs boson

  18. IRENA launches global atlas of renewable energy potential | OpenEI...

    OpenEI (Open Energy Information) [EERE & EIA]

    IRENA launches global atlas of renewable energy potential Home > Groups > Utility Rate Graham7781's picture Submitted by Graham7781(2017) Super contributor 11 February, 2013 -...

  19. ATLAS/BNL Physicist Marc-Andre Pleier Explains the Higgs Mechanism

    SciTech Connect

    Pleier,Marc-Andre

    2013-10-07

    ATLAS/BNL Physicist Marc-Andre Pleier explains his role in analyzing data from the Large Hadron Collider and the search for the Higgs boson

  20. Electronic Atlas Maps U.S. Renewable Energy Resources - News Releases |

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    NREL Electronic Atlas Maps U.S. Renewable Energy Resources January 6, 2012 A new geospatial application developed by the U.S. Department of Energy's National Renewable Energy Laboratory (NREL) allows users to easily and accurately map potential renewable energy resources in the United States. The interactive tool, RE Atlas, is free to use and available online at http://maps.nrel.gov/re_atlas. "Ease of use and breadth of data make RE Atlas an excellent tool for policymakers, planners,

  1. NETL’s 2015 Carbon Storage Atlas Shows Increase in U.S. CO2 Storage Potential

    Office of Energy Efficiency and Renewable Energy (EERE)

    The U.S. Department of Energy’s (DOE) National Energy Technology Laboratory (NETL) today released the fifth edition of the Carbon Storage Atlas (Atlas V), which shows prospective carbon dioxide (CO2) storage resources of at least 2,600 billion metric tons – an increase over the findings of the 2012 Atlas.

  2. Report to users of ATLAS - September 1998.

    SciTech Connect

    Ahmad, I.; Hofman, D.

    1998-11-18

    The ATLAS facility has provided a total of 5749 hours of beam for research in FY1998. The accelerator operation had a very high 93% reliability factor during that period. With the startup of Gammasphere in January, our schedule has attempted to minimize scheduled downtime and maximize beam-time for research. Our best performance so far occurred during the month of May when a total of 639 hours was provided for research. From the accelerator point-of-view, recent major highlights have included first operation of a new production configuration for our {sup 17}F beams which increased the beam current on-target to 2 x 10{sup 6} {sup 17}F ions/see. The {sup 17}F production target was moved approximately 4 meters upstream and a new superconducting solenoid was added to the system to refocus the highly divergent secondary beam. This new location also places the target upstream of a new superconducting resonator which was used to reduce the energy spread of the beam delivered to the spectrograph to less than 300 keV (FWHM). An improved, liquid nitrogen cooled, multiple gas cell has also significantly contributed to better performance.

  3. Failure Atlas for Rolling Bearings in Wind Turbines

    SciTech Connect

    Tallian, T. E.

    2006-01-01

    This Atlas is structured as a supplement to the book: T.E. Tallian: Failure Atlas for Hertz Contact Machine Elements, 2nd edition, ASME Press New York, (1999). The content of the atlas comprises plate pages from the book that contain bearing failure images, application data, and descriptions of failure mode, image, and suspected failure causes. Rolling bearings are a critical component of the mainshaft system, gearbox and generator in the rapidly developing technology of power generating wind turbines. The demands for long service life are stringent; the design load, speed and temperature regimes are demanding and the environmental conditions including weather, contamination, impediments to monitoring and maintenance are often unfavorable. As a result, experience has shown that the rolling bearings are prone to a variety of failure modes that may prevent achievement of design lives. Morphological failure diagnosis is extensively used in the failure analysis and improvement of bearing operation. Accumulated experience shows that the failure appearance and mode of failure causation in wind turbine bearings has many distinguishing features. The present Atlas is a first effort to collect an interpreted database of specifically wind turbine related rolling bearing failures and make it widely available. This Atlas is structured as a supplement to the book: T. E. Tallian: Failure Atlas for Hertz Contact Machine Elements, 2d edition, ASME Press New York, (1999). The main body of that book is a comprehensive collection of self-contained pages called Plates, containing failure images, bearing and application data, and three descriptions: failure mode, image and suspected failure causes. The Plates are sorted by main failure mode into chapters. Each chapter is preceded by a general technical discussion of the failure mode, its appearance and causes. The Plates part is supplemented by an introductory part, describing the appearance classification and failure classification

  4. Regional Information

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Regional Information There is plenty to do and see in the cities of Golden and Denver, Colorado. Here you'll find links to general information about these areas, plus hospitals, local universities and colleges, entertainment, sports, amusement parks, and more. Golden City of Golden Golden's 2-Hour Vacation Denver www.denver.com www.denver.org Denver Public Library Colorado State of Colorado Colorado tourism Transportation (Bus and Light Rail) RTD Hospitals Largest Hospitals in Metro Denver

  5. Vector and Scalar Bosons at DØ and ATLAS

    SciTech Connect

    Lammers, Sabine Sabine

    2014-09-26

    Vector Boson Fusion (VBF) has never been measured in hadron collisions, but it is one of the most sensitive modes for low mass Standard Model Higgs production at ATLAS. The objective of this proposal is to measure VBF production of W and Z bosons at the DØ Experiment taking place at the Tevatron Collider near Chicago, Illinois, and at the ATLAS Experiment, running at the Large Hadron Collider in Geneva, Switzerland. The framework developed in these measurements will be used to discover and study the Higgs Boson produced through the same mechanism (VBF) at ATLAS. The 10 f b-1 dataset recently collected by the DØ experiment provides a unique opportunity to observe evidence of VBF production of W Bosons, which will provide the required theoretical knowledge - VBF cross sections - and experimental knowledge - tuning of measurement techniques - on which to base the VBF measurements at the LHC. At the time of this writing, the ATLAS experiment has recorded 5 fb-1 of data at √s = 7 TeV, and expects to collect at least another 5 in 2012. Assuming Standard Model cross sections, this dataset will allow for the observation of VBF production of W, Z and Higgs bosons. The major challenges for the first observation of VBF interactions are: developing highly optimized forward jet identification algorithms, and accurately modeling both rates and kinematics of background processes. With the research program outlined in this grant proposal, I plan to address each of these areas, paving the way for VBF observation. The concentration on VBF production for the duration of this grant will be at ATLAS where the anticipated high pileup rates necessitates a cleaner signal. My past experience with forward jet identification at the ZEUS experiment, and with W+(n)Jets measurements at DØ , puts me in a unique position to lead this effort. The proposed program will have a dual focus: on DØ where the VBF analysis effort is mature and efforts of a postdoc will be required to bring the VBF W

  6. Evidence of Wγγ Production in pp Collisions at s=8  TeV and Limits on Anomalous Quartic Gauge Couplings with the ATLAS Detector

    DOE PAGES [OSTI]

    Aad, G.; Abbott, B.; Abdallah, J.; Abdel Khalek, S.; Abdinov, O.; Aben, R.; Abi, B.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; et al

    2015-07-16

    Here we report evidence of triple gauge boson production pp→W(ℓν)γγ+X, which is accessible for the first time with the 8 TeV LHC data set. The fiducial cross section for this process is measured in a data sample corresponding to an integrated luminosity of 20.3 fb₋1, collected by the ATLAS detector in 2012. Events are selected using the W boson decay to eν or μν as well as requiring two isolated photons. The measured cross section is used to set limits on anomalous quartic gauge couplings in the high diphoton mass region.

  7. Evidence of W γ γ Production in p p Collisions at s = 8 TeV and Limits on Anomalous Quartic Gauge Couplings with the ATLAS Detector

    DOE PAGES [OSTI]

    Aad, G.; Abbott, B.; Abdallah, J.; Abdel Khalek, S.; Abdinov, O.; Aben, R.; Abi, B.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; et al

    2015-07-16

    This Letter reports evidence of triple gauge boson production pp → W (lν)γγ + X, which is accessible for the first time with the 8 TeV LHC data set. The fiducial cross section for this process is measured in a data sample corresponding to an integrated luminosity of 20.3 fb-1, collected by the ATLAS detector in 2012. Events are selected using the W boson decay to eν or μν as well as requiring two isolated photons. The measured cross section is used to set limits on anomalous quartic gauge couplings in the high diphoton mass region.

  8. Measurement of the properties of the Higgs boson at ATLAS

    SciTech Connect

    Bristow, Timothy; Collaboration: ATLAS Collaboration

    2014-03-05

    An update on the Higgs boson search in the decay channels H???, H?ZZ{sup (*)}?4l, H?WW{sup (*)}?lvlv, H??{sup +}?{sup ?} and H?bb{sup } at the ATLAS detector is presented. Proton-proton collision data recorded by the ATLAS experiment corresponding to an integrated luminosity of up to 25/fb at centre-of-mass energies of 7 and 8 TeV are used for these results. The latest combined and individual channel measurements of the mass, signal strength, spin and parity, coupling constants and Higgs boson production are reported. Results on the measurements of the properties of the Higgs boson are all consistent with the Standard Model.

  9. SUSY searches at the LHC with the ATLAS experiment

    ScienceCinema

    None

    2016-07-12

    First ATLAS searches for signals of Supersymmetry in proton-proton collisions at the LHC are presented. These searches are performed in various channels containing different lepton and jet multiplicities in the final states; the full data sample recorded in the 2010 LHC run, corresponding to an integrated luminosity of 35 pb-1, has been analysed. Limits on squarks and gluins are the most stringent to date.

  10. Distribution Atlas of Proliferating Bone Marrow in Non-Small Cell Lung Cancer Patients Measured by FLT-PET/CT Imaging, With Potential Applicability in Radiation Therapy Planning

    SciTech Connect

    Campbell, Belinda A.; Callahan, Jason; Bressel, Mathias; Simoens, Nathalie; Everitt, Sarah; Hofman, Michael S.; Hicks, Rodney J.; Burbury, Kate; MacManus, Michael

    2015-08-01

    Purpose: Proliferating bone marrow is exquisitely sensitive to ionizing radiation. Knowledge of its distribution could improve radiation therapy planning to minimize unnecessary marrow exposure and avoid consequential prolonged myelosuppression. [18F]-Fluoro-3-deoxy-3-L-fluorothymidine (FLT)–positron emission tomography (PET) is a novel imaging modality that provides detailed quantitative images of proliferating tissues, including bone marrow. We used FLT-PET imaging in cancer patients to produce an atlas of marrow distribution with potential clinical utility. Methods and Materials: The FLT-PET and fused CT scans of eligible patients with non-small cell lung cancer (no distant metastases, no prior cytotoxic exposure, no hematologic disorders) were reviewed. The proportions of skeletal FLT activity in 10 predefined bony regions were determined and compared according to age, sex, and recent smoking status. Results: Fifty-one patients were studied: 67% male; median age 68 (range, 31-87) years; 8% never smokers; 70% no smoking in the preceding 3 months. Significant differences in marrow distribution occurred between sex and age groups. No effect was detected from smoking in the preceding 3 months. Using the mean percentages of FLT uptake per body region, we created an atlas of the distribution of functional bone marrow in 4 subgroups defined by sex and age. Conclusions: This atlas has potential utility for estimating the distribution of active marrow in adult cancer patients to guide radiation therapy planning. However, because of interindividual variation it should be used with caution when radiation therapy risks ablating large proportions of active marrow; in such cases, individual FLT-PET scans may be required.

  11. Charged-particle distributions in pp interactions at √s=8TeV measured with the ATLAS detector

    DOE PAGES [OSTI]

    Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Abeloos, B.; Aben, R.; Abolins, M.; AbouZeid, O. S.; Abraham, N. L.; Abramowicz, H.; et al

    2016-07-15

    This study presents measurements of distributions of charged particles which are produced in proton–proton collisions at a centre-of-mass energy of √s=8TeV and recorded by the ATLAS detector at the LHC. A special dataset recorded in 2012 with a small number of interactions per beam crossing (below 0.004) and corresponding to an integrated luminosity of 160 μb-1 was used. A minimum-bias trigger was utilised to select a data sample of more than 9 million collision events. The multiplicity, pseudorapidity, and transverse momentum distributions of charged particles are shown in different regions of kinematics and charged-particle multiplicity, including measurements of final statesmore » at high multiplicity. Finally, the results are corrected for detector effects and are compared to the predictions of various Monte Carlo event generator models which simulate the full hadronic final state.« less

  12. A New ATLAS Muon CSC Readout System with System on Chip Technology...

    Office of Scientific and Technical Information (OSTI)

    Conference: A New ATLAS Muon CSC Readout System with System on Chip Technology on ATCA Platform Citation ... Sponsoring Org: US DOE Office of Science (DOE SC);High Energy ...

  13. A comparison of NNLO QCD predictions with 7 TeV ATLAS and CMS...

    Office of Scientific and Technical Information (OSTI)

    with 7 TeV ATLAS and CMS data for V+jet processes Authors: Boughezal, Radja ; Liu, Xiaohui ; Petriello, Frank Publication Date: 2016-09-01 OSTI Identifier: 1258296 Grant...

  14. Sandia and Atlas-Copco Secoroc Advance to Phase 2 in Their Geothermal...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... In 2012, the partnership between Sandia and Atlas-Copco Secoroc was awarded a 3.4M DOE grant to develop a down-the-hole (DTH) hammer capable of low-cost, high-production drilling ...

  15. Gateways to the FANTOM5 promoter level mammalian expression atlas

    DOE PAGES [OSTI]

    Lizio, Marina; Harshbarger, Jayson; Shimoji, Hisashi; Severin, Jessica; Kasukawa, Takeya; Sahin, Serkan; Abugessaisa, Imad; Fukuda, Shiro; Hori, Fumi; Ishikawa-Kato, Sachi; et al

    2015-01-05

    The FANTOM5 project investigates transcription initiation activities in more than 1,000 human and mouse primary cells, cell lines and tissues using CAGE. Based on manual curation of sample information and development of an ontology for sample classification, we assemble the resulting data into a centralized data resource (http://fantom.gsc.riken.jp/5/). In conclusion, this resource contains web-based tools and data-access points for the research community to search and extract data related to samples, genes, promoter activities, transcription factors and enhancers across the FANTOM5 atlas.

  16. Meet a Machine: ATLAS turns NNSA operators into heavylifting heroes |

    National Nuclear Security Administration (NNSA)

    National Nuclear Security Administration | (NNSA) ATLAS turns NNSA operators into heavylifting heroes Thursday, July 14, 2016 - 10:27am The United States doesn't explosively test nuclear weapons, but NNSA is still charged with making sure the U.S. nuclear arsenal is safe and secure, and effective. This is why the U.S. nuclear security enterprise is home to the most brilliant minds and cutting-edge technologies for extreme physics and energy science. Learn about one of the members of NNSA's

  17. Argonne Tandem Linac Accelerator System (ATLAS) | U.S. DOE Office of

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Science (SC) Argonne Tandem Linac Accelerator System (ATLAS) Nuclear Physics (NP) NP Home About Research Facilities User Facilities Argonne Tandem Linac Accelerator System (ATLAS) Continuous Electron Beam Accelerator Facility (CEBAF) Relativistic Heavy Ion Collider (RHIC) Project Development Isotope Program Facilities Science Highlights Benefits of NP Funding Opportunities Nuclear Science Advisory Committee (NSAC) Community Resources Contact Information Nuclear Physics U.S. Department of

  18. ATLAS experimental equipment. November 1983 workshop and present status

    SciTech Connect

    Not Available

    1984-01-01

    The latest workshop was held in November 1983 with the purpose of presenting an overview of the experimental stations planned for ATLAS, describing the current status of each individual apparatus, soliciting final input on devices of the first phase (i.e. on those that will be ready when beams from ATLAS become available in late Spring of 1985), and discussing and collecting new ideas on equipment for the second phase. There were short presentations on the status of the various projects followed by informal discussions. The presentations mainly concentrated on new equipment for target area III, but included some descriptions of current apparatus in target area II that might also be of interest for experiments with the higher-energy beams available in area III. The meeting was well attended with approx. 50 scientists, approximately half of them from institutions outside Argonne. The present proceedings summarize the presentations and discussions of this one-day meeting. In addition we take the opportunity to include information about developments since this meeting and an update of the current status of the various experimental stations. We would like to emphasize again that outside-user input is extremely welcome.

  19. An atlas of thermal data for biomass and other fuels

    SciTech Connect

    Gaur, S.; Reed, T.B.

    1995-06-01

    Biomass is recognized as a major source of renewable energy. In order to convert biomass energy to more useful forms, it is necessary to have accurate scientific data on the thermal properties of biomass. This Atlas has been written to supply a uniform source of that information. In the last few decades Thermal analysis (TA) tools such as thermogravimetry, differential thermal analysis, thermo mechanical analysis, etc. have become more important. The data obtained from these techniques can provide useful information in terms of reaction mechanism, kinetic parameters, thermal stability, phase transformation, heat of reaction, etc. for gas-solid and gas-liquid systems. Unfortunately, there are no ASTM standards set for the collection of these types of data using TA techniques and therefore, different investigators use different conditions which suit their requirements for measuring this thermal data. As a result, the information obtained from different laboratories is not comparable. This Atlas provides the ability to compare new laboratory results with a wide variety of related data available in the literature and helps ensure consistency in using these data.

  20. Search for squarks and gluinos in final states with jets and missing transverse momentum at √s =13 TeV with the ATLAS detector

    DOE PAGES [OSTI]

    Aaboud, M.; Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Abeloos, B.; Aben, R.; AbouZeid, O. S.; Abraham, N. L.; Abramowicz, H.; et al

    2016-07-12

    In this paper, a search for squarks and gluinos in final states containing hadronic jets, missing transverse momentum but no electrons or muons is presented. The data were recorded in 2015 by the ATLAS experiment in √s=13 TeV proton–proton collisions at the Large Hadron Collider. No excess above the Standard Model background expectation was observed in 3.2 fb-1 of analyzed data. Results are interpreted within simplified models that assume R-parity is conserved and the neutralino is the lightest supersymmetric particle. An exclusion limit at the 95 % confidence level on the mass of the gluino is set at 1.51 TeVmore » for a simplified model incorporating only a gluino octet and the lightest neutralino, assuming the lightest neutralino is massless. For a simplified model involving the strong production of mass-degenerate first- and second-generation squarks, squark masses below 1.03 TeV are excluded for a massless lightest neutralino. Finally, these limits substantially extend the region of supersymmetric parameter space excluded by previous measurements with the ATLAS detector.« less

  1. Regional Education Partners

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Regional Education Partners Regional Education Partners One of the Laboratory's STEM education objectives is centered on strengthening the future workforce of Northern New Mexico...

  2. Examples from the atlas of major Appalachian Gas Plays

    SciTech Connect

    Patchen, D.G.; Aminian, K.; Avary, K.L.; Baranoski, M.T.; Flaherty, K.; Nuttall, B.C.; Smosna, R.A.

    1993-12-31

    The objectives of this contract are to produce a panted atlas of major Appalachian basin gas plays and to compile a machine-readable database of reservoir data. The Appalachian Oil and Natural Gas Research Consortium (AONGRC or the Consortium), a partnership of the state geological surveys in Kentucky, Ohio, Pennsylvania, and West Virginia, and the departments of Geology and Petroleum and Natural Gas Engineering at West Virginia University (WVU), agrees with the need to classify gas reservoirs by geologic plays. During meetings with industry representatives, the small independents in the basin emphasized that one of their prime needs was to place each producing reservoir within a stratigraphic framework subdivided by environment of deposition to enable them to develop exploration and development strategies. The text for eight of the 31 play descriptions has been completed, drafting of illustrations for these plays is underway (or complete for some plays), and the review process is ongoing.

  3. Regional Energy Efficiency Programs

    Energy.gov [DOE]

    This presentation covers regional industrial energy efficiency programs in the Midwest, Southeast, and Southwest.

  4. A Multiphase Validation of Atlas-Based Automatic and Semiautomatic Segmentation Strategies for Prostate MRI

    SciTech Connect

    Martin, Spencer; Rodrigues, George; Department of Epidemiology Patil, Nikhilesh; Bauman, Glenn; Department of Radiation Oncology, London Regional Cancer Program, London ; D'Souza, David; Sexton, Tracy; Palma, David; Louie, Alexander V.; Khalvati, Farzad; Tizhoosh, Hamid R.; Segasist Technologies, Toronto, Ontario ; Gaede, Stewart

    2013-01-01

    Purpose: To perform a rigorous technological assessment and statistical validation of a software technology for anatomic delineations of the prostate on MRI datasets. Methods and Materials: A 3-phase validation strategy was used. Phase I consisted of anatomic atlas building using 100 prostate cancer MRI data sets to provide training data sets for the segmentation algorithms. In phase II, 2 experts contoured 15 new MRI prostate cancer cases using 3 approaches (manual, N points, and region of interest). In phase III, 5 new physicians with variable MRI prostate contouring experience segmented the same 15 phase II datasets using 3 approaches: manual, N points with no editing, and full autosegmentation with user editing allowed. Statistical analyses for time and accuracy (using Dice similarity coefficient) endpoints used traditional descriptive statistics, analysis of variance, analysis of covariance, and pooled Student t test. Results: In phase I, average (SD) total and per slice contouring time for the 2 physicians was 228 (75), 17 (3.5), 209 (65), and 15 seconds (3.9), respectively. In phase II, statistically significant differences in physician contouring time were observed based on physician, type of contouring, and case sequence. The N points strategy resulted in superior segmentation accuracy when initial autosegmented contours were compared with final contours. In phase III, statistically significant differences in contouring time were observed based on physician, type of contouring, and case sequence again. The average relative timesaving for N points and autosegmentation were 49% and 27%, respectively, compared with manual contouring. The N points and autosegmentation strategies resulted in average Dice values of 0.89 and 0.88, respectively. Pre- and postedited autosegmented contours demonstrated a higher average Dice similarity coefficient of 0.94. Conclusion: The software provided robust contours with minimal editing required. Observed time savings were seen

  5. Implementation and Performance of the Tau Trigger in the ATLAS Experiment

    SciTech Connect

    Bosman, M.; Casado, P.; Dam, M.; Demers, S.; Igonkina, O.; Osuna, C.; Perez, E.; Soluk, R.; Strom, D.; Torrence, E.; Watson, A.; Xella, S.; /Copenhagen U.

    2011-11-15

    Triggering on hadronic taus at the LHC is a difficult task due to the high rate and occupancy of the events. On the other hand, the tau trigger increases the discovery potential of ATLAS in many physics channels, among others the Standard Model or SuperSymmetric Higgs (charged or neutrals) production. In order to cope with the rate and optimize the efficiency on important physics channels, the results of the current simulation studies indicate that the ATLAS tau trigger should be used either with relatively high transverse momentum thresholds alone, or with more relaxed threshold requirements in combination with other triggers, like the missing transverse energy trigger or a leptonic or jet trigger. In this contribution we describe the ATLAS tau trigger, and we present some of the current results from the simulation studies, focusing both on early physics and on physics at high luminosity.

  6. Webinar: Demonstration of NREL’s BioEnergy Atlas Tools

    Energy.gov [DOE]

    The National Renewable Energy Laboratory (NREL) will host a free webinar on December 16 demonstrating how to use the BioEnergy Atlas tools. The U.S. Department of Energy’s Bioenergy Technologies Office funded the BioEnergy Atlas tools, which include the BioFuels and BioPower Atlases. These tools are designed as first-pass visualization tools that allow users to view many bioenergy and related datasets in Google Maps. Users can query and download map data and view incentives and state energy data, as well as select an area on the map for estimated biofuels or biopower production potential. The webinar will review the data source and date of bioenergy data layers. The NREL team will show users how to view and download data behind the map, how to view state energy data and incentives, and how to view and edit potential biofuel or biopower production in a geographical location.

  7. Measurement of distributions sensitive to the underlying event in inclusive Z-boson production in pp collisions at ?s = 7 TeV with the ATLAS detector

    SciTech Connect

    Aad, G.

    2014-12-10

    A measurement of charged-particle distributions sensitive to the properties of the underlying event is presented for an inclusive sample of events containing a \\(Z\\)-boson, decaying to an electron or muon pair. The measurement is based on data collected using the ATLAS detector at the LHC in protonproton collisions at a centre-of-mass energy of \\(7\\) TeV with an integrated luminosity of \\(4.6\\) fb\\(^{-1}\\). Distributions of the charged particle multiplicity and of the charged particle transverse momentum are measured in regions of azimuthal angle defined with respect to the \\(Z\\)-boson direction. As a result, the measured distributions are compared to similar distributions measured in jet events, and to the predictions of various Monte Carlo generators implementing different underlying event models.

  8. Search for low-scale gravity signatures in multi-jet final states with the ATLAS detector at $ \\sqrt{s}=8 $ TeV

    SciTech Connect

    Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Aben, R.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; Abreu, H.; Abreu, R.; Abulaiti, Y.; Acharya, B. S.; Adamczyk, L.; Adams, D. L.; Adelman, J.; Adomeit, S.; Adye, T.; Affolder, A. A.; Agatonovic-Jovin, T.; Aguilar-Saavedra, J. A.; Ahlen, S. P.; Ahmadov, F.; Aielli, G.; Akerstedt, H.; Åkesson, T. P. A.; Akimoto, G.; Akimov, A. V.; Alberghi, G. L.; Albert, J.; Albrand, S.; Alconada Verzini, M. J.; Aleksa, M.; Aleksandrov, I. N.; Alexa, C.; Alexander, G.; Alexopoulos, T.; Alhroob, M.; Alimonti, G.; Alio, L.; Alison, J.; Alkire, S. P.; Allbrooke, B. M. M.; Allport, P. P.; Aloisio, A.; Alonso, A.; Alonso, F.; Alpigiani, C.; Altheimer, A.; Alvarez Gonzalez, B.; Álvarez Piqueras, D.; Alviggi, M. G.; Amadio, B. T.; Amako, K.; Amaral Coutinho, Y.; Amelung, C.; Amidei, D.; Amor Dos Santos, S. P.; Amorim, A.; Amoroso, S.; Amram, N.; Amundsen, G.; Anastopoulos, C.; Ancu, L. S.; Andari, N.; Andeen, T.; Anders, C. F.; Anders, G.; Anders, J. K.; Anderson, K. J.; Andreazza, A.; Andrei, V.; Angelidakis, S.; Angelozzi, I.; Anger, P.; Angerami, A.; Anghinolfi, F.; Anisenkov, A. V.; Anjos, N.; Annovi, A.; Antonelli, M.; Antonov, A.; Antos, J.; Anulli, F.; Aoki, M.; Aperio Bella, L.; Arabidze, G.; Arai, Y.; Araque, J. P.; Arce, A. T. H.; Arduh, F. A.; Arguin, J-F.; Argyropoulos, S.; Arik, M.; Armbruster, A. J.; Arnaez, O.; Arnal, V.; Arnold, H.; Arratia, M.; Arslan, O.; Artamonov, A.; Artoni, G.; Asai, S.; Asbah, N.; Ashkenazi, A.; Åsman, B.; Asquith, L.; Assamagan, K.; Astalos, R.; Atkinson, M.; Atlay, N. B.; Auerbach, B.; Augsten, K.; Aurousseau, M.; Avolio, G.; Axen, B.; Ayoub, M. K.; Azuelos, G.; Baak, M. A.; Baas, A. E.; Bacci, C.; Bachacou, H.; Bachas, K.; Backes, M.; Backhaus, M.; Bagiacchi, P.; Bagnaia, P.; Bai, Y.; Bain, T.; Baines, J. T.; Baker, O. K.; Balek, P.; Balestri, T.; Balli, F.; Banas, E.; Banerjee, Sw.; Bannoura, A. A. E.; Bansil, H. S.; Barak, L.; Barberio, E. L.; Barberis, D.; Barbero, M.; Barillari, T.; Barisonzi, M.; Barklow, T.; Barlow, N.; Barnes, S. L.; Barnett, B. M.; Barnett, R. M.; Barnovska, Z.; Baroncelli, A.; Barone, G.; Barr, A. J.; Barreiro, F.; Barreiro Guimarães da Costa, J.; Bartoldus, R.; Barton, A. E.; Bartos, P.; Basalaev, A.; Bassalat, A.; Basye, A.; Bates, R. L.; Batista, S. J.; Batley, J. R.; Battaglia, M.; Bauce, M.; Bauer, F.; Bawa, H. S.; Beacham, J. B.; Beattie, M. D.; Beau, T.; Beauchemin, P. H.; Beccherle, R.; Bechtle, P.; Beck, H. P.; Becker, K.; Becker, M.; Becker, S.; Beckingham, M.; Becot, C.; Beddall, A. J.; Beddall, A.; Bednyakov, V. A.; Bee, C. P.; Beemster, L. J.; Beermann, T. A.; Begel, M.; Behr, J. K.; Belanger-Champagne, C.; Bell, W. H.; Bella, G.; Bellagamba, L.; Bellerive, A.; Bellomo, M.; Belotskiy, K.; Beltramello, O.; Benary, O.; Benchekroun, D.; Bender, M.; Bendtz, K.; Benekos, N.; Benhammou, Y.; Benhar Noccioli, E.; Benitez Garcia, J. A.; Benjamin, D. P.; Bensinger, J. R.; Bentvelsen, S.; Beresford, L.; Beretta, M.; Berge, D.; Bergeaas Kuutmann, E.; Berger, N.; Berghaus, F.; Beringer, J.; Bernard, C.; Bernard, N. R.; Bernius, C.; Bernlochner, F. U.; Berry, T.; Berta, P.; Bertella, C.; Bertoli, G.; Bertolucci, F.; Bertsche, C.; Bertsche, D.; Besana, M. I.; Besjes, G. J.; Bessidskaia Bylund, O.; Bessner, M.; Besson, N.; Betancourt, C.; Bethke, S.; Bevan, A. J.; Bhimji, W.; Bianchi, R. M.; Bianchini, L.; Bianco, M.; Biebel, O.; Bieniek, S. P.; Biglietti, M.; Bilbao De Mendizabal, J.; Bilokon, H.; Bindi, M.; Binet, S.; Bingul, A.; Bini, C.; Black, C. W.; Black, J. E.; Black, K. M.; Blackburn, D.; Blair, R. E.; Blanchard, J. -B.; Blanco, J. E.; Blazek, T.; Bloch, I.; Blocker, C.; Blum, W.; Blumenschein, U.; Bobbink, G. J.; Bobrovnikov, V. S.; Bocchetta, S. S.; Bocci, A.; Bock, C.; Boehler, M.; Bogaerts, J. A.; Bogdanchikov, A. G.; Bohm, C.; Boisvert, V.; Bold, T.; Boldea, V.; Boldyrev, A. S.; Bomben, M.; Bona, M.; Boonekamp, M.; Borisov, A.; Borissov, G.; Borroni, S.; Bortfeldt, J.; Bortolotto, V.; Bos, K.; Boscherini, D.; Bosman, M.; Boudreau, J.; Bouffard, J.; Bouhova-Thacker, E. V.; Boumediene, D.; Bourdarios, C.; Bousson, N.; Boveia, A.; Boyd, J.; Boyko, I. R.; Bozic, I.; Bracinik, J.; Brandt, A.; Brandt, G.; Brandt, O.; Bratzler, U.; Brau, B.; Brau, J. E.; Braun, H. M.; Brazzale, S. F.; Brendlinger, K.; Brennan, A. J.; Brenner, L.; Brenner, R.; Bressler, S.; Bristow, K.; Bristow, T. M.; Britton, D.; Britzger, D.; Brochu, F. M.; Brock, I.; Brock, R.; Bronner, J.; Brooijmans, G.; Brooks, T.; Brooks, W. K.; Brosamer, J.; Brost, E.; Brown, J.; Bruckman de Renstrom, P. A.; Bruncko, D.; Bruneliere, R.; Bruni, A.; Bruni, G.; Bruschi, M.; Bryngemark, L.; Buanes, T.; Buat, Q.; Buchholz, P.; Buckley, A. G.; Buda, S. I.; Budagov, I. A.; Buehrer, F.; Bugge, L.; Bugge, M. 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F.; Trischuk, W.; Trocmé, B.; Troncon, C.; Trottier-McDonald, M.; Trovatelli, M.; True, P.; Truong, L.; Trzebinski, M.; Trzupek, A.; Tsarouchas, C.; Tseng, J. C-L.; Tsiareshka, P. V.; Tsionou, D.; Tsipolitis, G.; Tsirintanis, N.; Tsiskaridze, S.; Tsiskaridze, V.; Tskhadadze, E. G.; Tsukerman, I. I.; Tsulaia, V.; Tsuno, S.; Tsybychev, D.; Tudorache, A.; Tudorache, V.; Tuna, A. N.; Tupputi, S. A.; Turchikhin, S.; Turecek, D.; Turgeman, D.; Turra, R.; Turvey, A. J.; Tuts, P. M.; Tykhonov, A.; Tylmad, M.; Tyndel, M.; Ueda, I.; Ueno, R.; Ughetto, M.; Ugland, M.; Uhlenbrock, M.; Ukegawa, F.; Unal, G.; Undrus, A.; Unel, G.; Ungaro, F. C.; Unno, Y.; Unverdorben, C.; Urban, J.; Urquijo, P.; Urrejola, P.; Usai, G.; Usanova, A.; Vacavant, L.; Vacek, V.; Vachon, B.; Valderanis, C.; Valencic, N.; Valentinetti, S.; Valero, A.; Valery, L.; Valkar, S.; Valladolid Gallego, E.; Vallecorsa, S.; Valls Ferrer, J. A.; Van Den Wollenberg, W.; Van Der Deijl, P. C.; van der Geer, R.; van der Graaf, H.; Van Der Leeuw, R.; van Eldik, N.; van Gemmeren, P.; Van Nieuwkoop, J.; van Vulpen, I.; van Woerden, M. C.; Vanadia, M.; Vandelli, W.; Vanguri, R.; Vaniachine, A.; Vannucci, F.; Vardanyan, G.; Vari, R.; Varnes, E. W.; Varol, T.; Varouchas, D.; Vartapetian, A.; Varvell, K. E.; Vazeille, F.; Vazquez Schroeder, T.; Veatch, J.; Veloso, F.; Velz, T.; Veneziano, S.; Ventura, A.; Ventura, D.; Venturi, M.; Venturi, N.; Venturini, A.; Vercesi, V.; Verducci, M.; Verkerke, W.; Vermeulen, J. C.; Vest, A.; Vetterli, M. C.; Viazlo, O.; Vichou, I.; Vickey, T.; Vickey Boeriu, O. E.; Viehhauser, G. H. A.; Viel, S.; Vigne, R.; Villa, M.; Villaplana Perez, M.; Vilucchi, E.; Vincter, M. G.; Vinogradov, V. B.; Vivarelli, I.; Vives Vaque, F.; Vlachos, S.; Vladoiu, D.; Vlasak, M.; Vogel, M.; Vokac, P.; Volpi, G.; Volpi, M.; von der Schmitt, H.; von Radziewski, H.; von Toerne, E.; Vorobel, V.; Vorobev, K.; Vos, M.; Voss, R.; Vossebeld, J. H.; Vranjes, N.; Vranjes Milosavljevic, M.; Vrba, V.; Vreeswijk, M.; Vuillermet, R.; Vukotic, I.; Vykydal, Z.; Wagner, P.; Wagner, W.; Wahlberg, H.; Wahrmund, S.; Wakabayashi, J.; Walder, J.; Walker, R.; Walkowiak, W.; Wang, C.; Wang, F.; Wang, H.; Wang, H.; Wang, J.; Wang, J.; Wang, K.; Wang, R.; Wang, S. M.; Wang, T.; Wang, X.; Wanotayaroj, C.; Warburton, A.; Ward, C. P.; Wardrope, D. R.; Warsinsky, M.; Washbrook, A.; Wasicki, C.; Watkins, P. M.; Watson, A. T.; Watson, I. J.; Watson, M. F.; Watts, G.; Watts, S.; Waugh, B. M.; Webb, S.; Weber, M. S.; Weber, S. W.; Webster, J. S.; Weidberg, A. R.; Weinert, B.; Weingarten, J.; Weiser, C.; Weits, H.; Wells, P. S.; Wenaus, T.; Wengler, T.; Wenig, S.; Wermes, N.; Werner, M.; Werner, P.; Wessels, M.; Wetter, J.; Whalen, K.; Wharton, A. M.; White, A.; White, M. J.; White, R.; White, S.; Whiteson, D.; Wickens, F. J.; Wiedenmann, W.; Wielers, M.; Wienemann, P.; Wiglesworth, C.; Wiik-Fuchs, L. A. M.; Wildauer, A.; Wilkens, H. G.; Williams, H. H.; Williams, S.; Willis, C.; Willocq, S.; Wilson, A.; Wilson, J. A.; Wingerter-Seez, I.; Winklmeier, F.; Winter, B. T.; Wittgen, M.; Wittkowski, J.; Wollstadt, S. J.; Wolter, M. W.; Wolters, H.; Wosiek, B. K.; Wotschack, J.; Woudstra, M. J.; Wozniak, K. W.; Wu, M.; Wu, M.; Wu, S. L.; Wu, X.; Wu, Y.; Wyatt, T. R.; Wynne, B. M.; Xella, S.; Xu, D.; Xu, L.; Yabsley, B.; Yacoob, S.; Yakabe, R.; Yamada, M.; Yamaguchi, Y.; Yamamoto, A.; Yamamoto, S.; Yamanaka, T.; Yamauchi, K.; Yamazaki, Y.; Yan, Z.; Yang, H.; Yang, H.; Yang, Y.; Yao, L.; Yao, W-M.; Yasu, Y.; Yatsenko, E.; Yau Wong, K. H.; Ye, J.; Ye, S.; Yeletskikh, I.; Yen, A. L.; Yildirim, E.; Yorita, K.; Yoshida, R.; Yoshihara, K.; Young, C.; Young, C. J. S.; Youssef, S.; Yu, D. R.; Yu, J.; Yu, J. M.; Yu, J.; Yuan, L.; Yurkewicz, A.; Yusuff, I.; Zabinski, B.; Zaidan, R.; Zaitsev, A. M.; Zalieckas, J.; Zaman, A.; Zambito, S.; Zanello, L.; Zanzi, D.; Zeitnitz, C.; Zeman, M.; Zemla, A.; Zengel, K.; Zenin, O.; Ženiš, T.; Zerwas, D.; Zhang, D.; Zhang, F.; Zhang, J.; Zhang, L.; Zhang, R.; Zhang, X.; Zhang, Z.; Zhao, X.; Zhao, Y.; Zhao, Z.; Zhemchugov, A.; Zhong, J.; Zhou, B.; Zhou, C.; Zhou, L.; Zhou, L.; Zhou, N.; Zhu, C. G.; Zhu, H.; Zhu, J.; Zhu, Y.; Zhuang, X.; Zhukov, K.; Zibell, A.; Zieminska, D.; Zimine, N. I.; Zimmermann, C.; Zimmermann, S.; Zinonos, Z.; Zinser, M.; Ziolkowski, M.; Živković, L.; Zobernig, G.; Zoccoli, A.; zur Nedden, M.; Zurzolo, G.; Zwalinski, L.

    2015-07-01

    A search for evidence of physics beyond the Standard Model in final states with multiple high-transverse-momentum jets is performed using 20.3 fb-1 of proton-proton collision data at √s=8 TeV recorded by the ATLAS detector at the LHC. No significant excess of events beyond Standard Model expectations is observed, and upper limits on the visible cross sections for non-Standard Model production of multi-jet final states are set. A wide variety of models for black hole and string ball production and decay are considered, and the upper limit on the cross section times acceptance is as low as 0.16 fb at the 95% confidence level. For these models, excluded regions are also given as function of the main model parameters.

  9. DOE's Carbon Utilization and Storage Atlas Estimates at Least 2,400 Billion

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Metric Tons of U.S. CO2 Storage Resource | Department of Energy DOE's Carbon Utilization and Storage Atlas Estimates at Least 2,400 Billion Metric Tons of U.S. CO2 Storage Resource DOE's Carbon Utilization and Storage Atlas Estimates at Least 2,400 Billion Metric Tons of U.S. CO2 Storage Resource December 19, 2012 - 12:00pm Addthis Washington, DC - The United States has at least 2,400 billion metric tons of possible carbon dioxide (CO2) storage resource in saline formations, oil and gas

  10. Regional Education Partners

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Regional Education Partners Regional Education Partners One of the Laboratory's STEM education objectives is centered on strengthening the future workforce of Northern New Mexico and the Laboratory through effective partnerships with regional secondary and higher education organizations, businesses and industry. Contact Executive Office Director Kathy Keith Community Partnerships Office (505) 665-4400 Email Regional Partners Charlie McMillan talking with Rick Ulibarri and Dr. Fries, President of

  11. NASEO Midwest Regional Meeting

    Energy.gov [DOE]

    The National Association of State Energy Officials (NASEO) is hosting its Midwest Regional Meeting in Des Moines, Iowa.

  12. Preparations for Physics Studies with ATLAS During the First Years of the LHC

    ScienceCinema

    Fabiola Gianotti

    2016-07-12

    I will review the status of the ATLAS detector installation and commissioning, and discuss the preparation for physics with test-beam studies, detailed simulations, and runs with cosmics. I will then show examples of physics opportunities with the first LHC data.   

  13. Limited Groundwater Investigation of The Atlas Corporation Moab Mill, Moab, Utah

    SciTech Connect

    Easterly, CE

    2001-11-05

    The project described in this report was conducted by personnel from Oak Ridge National Laboratory's Grand Junction Office (ORNL/GJ). The purpose was to refine information regarding groundwater contamination emanating from the Atlas Corporation's former uranium mill in Moab, Utah.

  14. SU-E-J-132: Automated Segmentation with Post-Registration Atlas Selection Based On Mutual Information

    SciTech Connect

    Ren, X; Gao, H; Sharp, G

    2015-06-15

    Purpose: The delineation of targets and organs-at-risk is a critical step during image-guided radiation therapy, for which manual contouring is the gold standard. However, it is often time-consuming and may suffer from intra- and inter-rater variability. The purpose of this work is to investigate the automated segmentation. Methods: The automatic segmentation here is based on mutual information (MI), with the atlas from Public Domain Database for Computational Anatomy (PDDCA) with manually drawn contours.Using dice coefficient (DC) as the quantitative measure of segmentation accuracy, we perform leave-one-out cross-validations for all PDDCA images sequentially, during which other images are registered to each chosen image and DC is computed between registered contour and ground truth. Meanwhile, six strategies, including MI, are selected to measure the image similarity, with MI to be the best. Then given a target image to be segmented and an atlas, automatic segmentation consists of: (a) the affine registration step for image positioning; (b) the active demons registration method to register the atlas to the target image; (c) the computation of MI values between the deformed atlas and the target image; (d) the weighted image fusion of three deformed atlas images with highest MI values to form the segmented contour. Results: MI was found to be the best among six studied strategies in the sense that it had the highest positive correlation between similarity measure (e.g., MI values) and DC. For automated segmentation, the weighted image fusion of three deformed atlas images with highest MI values provided the highest DC among four proposed strategies. Conclusion: MI has the highest correlation with DC, and therefore is an appropriate choice for post-registration atlas selection in atlas-based segmentation. Xuhua Ren and Hao Gao were partially supported by the NSFC (#11405105), the 973 Program (#2015CB856000) and the Shanghai Pujiang Talent Program (#14PJ1404500)

  15. Integration of the Trigger and Data Acquisition Systems in ATLAS

    SciTech Connect

    Abolins, M.; Adragna, P.; Aleksandrov, E.; Aleksandrov, I.; Amorim, A.; Anderson, K.; Anduaga, X.; Aracena, I.; Asquith, L.; Avolio, G.; Backlund, S.; Badescu, E.; Baines, J.; Barria, P.; Bartoldus, R.; Batreanu, S.; Beck, H.P.; Bee, C.; Bell, P.; Bell, W.H.; Bellomo, M.; /more authors..

    2011-11-09

    During 2006 and the first half of 2007, the installation, integration and commissioning of trigger and data acquisition (TDAQ) equipment in the ATLAS experimental area have progressed. There have been a series of technical runs using the final components of the system already installed in the experimental area. Various tests have been run including ones where level 1 preselected simulated proton-proton events have been processed in a loop mode through the trigger and dataflow chains. The system included the readout buffers containing the events, event building, level 2 and event filter trigger algorithms. The scalability of the system with respect to the number of event building nodes used has been studied and quantities critical for the final system, such as trigger rates and event processing times, have been measured using different trigger algorithms as well as different TDAQ components. This paper presents the TDAQ architecture, the current status of the installation and commissioning and highlights the main test results that validate the system.

  16. Earth's mysterious atmosphere. ATLAS 1: Teachers guide with activities

    SciTech Connect

    Not Available

    1991-11-01

    One of our mission's primary goals is to better understand the physics and chemistry of our atmosphere, the thin envelope of air that provides for human life and shields us from the harshness of space. The Space Shuttle Atlantis will carry the ATLAS 1 science instruments 296 km above Earth, so that they can look down into and through the various layers of the atmosphere. Five solar radiometers will precisely measure the amount of energy the Sun injects into Earth's environment. The chemistry at different altitudes will be measured very accurately by five other instruments called spectrometers. Much of our time in the cockpit of Atlantis will be devoted to two very exciting instruments that measure the auroras and the atmosphere's electrical characteristics. Finally, our ultraviolet telescope will probe the secrets of fascinating celestial objects. This Teacher's Guide is designed as a detective story to help you appreciate some of the many questions currently studied by scientists around the world. Many complex factors affect our atmosphere today, possibly even changing the course of global climate. All who live on Earth must recognize that they play an ever-growing role in causing some of these changes. People must solve this great atmospheric mystery if they are to understand all these changes and know what to do about them.

  17. Surface Ocean CO2 Atlas (SOCAT) gridded data products

    SciTech Connect

    Sabine, Christopher; Hankin, S.; Koyuk, H; Bakker, D C E; Pfeil, B; Olsen, A; Metzl, N; Fassbender, A; Manke, A; Malczyk, J; Akl, J; Alin, S R; Bellerby, R G J; Borges, A; Boutin, J; Cai, W-J; Chavez, F P; Chen, A; Cosa, C; Feely, R A; Gonzalez-Davila, M; Goyet, C; Hardman-Mountford, N; Heinze, C; Hoppema, M; Hunt, C W; Hydes, D; Ishii, M; Johannessen, T; Key, R M; Kortzinger, A; Landschutzer, P; Lauvset, S K; Lefevre, N; Lourantou, A; Mintrop, L; Miyazaki, C; Murata, A; Nakadate, A; Nakano, Y; Nakaoka, S; Nojiri, Y; et al.

    2013-01-01

    A well documented, publicly available, global data set for surface ocean carbon dioxide (CO2) parameters has been called for by international groups for nearly two decades. The Surface Ocean CO2 Atlas (SOCAT) project was initiated by the international marine carbon science community in 2007 with the aim of providing a comprehensive, publicly available, regularly updated, global data set of marine surface CO2, which had been subject to quality control (QC). SOCAT version 1.5 was made public in September 2011 and holds 6.3 million quality controlled surface CO2 data from the global oceans and coastal seas, spanning four decades (1968 2007). The SOCAT gridded data is the second data product to come from the SOCAT project. Recognizing that some groups may have trouble working with millions of measurements, the SOCAT gridded product was generated to provide a robust regularly spaced fCO2 product with minimal spatial and temporal interpolation which should be easier to work with for many applications. Gridded SOCAT is rich with information that has not been fully explored yet, but also contains biases and limitations that the user needs to recognize and address.

  18. Western Regional Partnership Overview

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Regional Partnership Overview June 2013 Briefing Overview  WRP Background  Importance of Region  WRP Tribal Relations Committee  WRP Energy Committee WRP Region's Uniqueness  5 states stretching from the Great Plains to the Pacific Ocean  Diverse terrain ranging from desert valleys to forested mountains  Significant State Trust Landholdings  Approximately 188 Federally recognized Tribes  Significant amounts of Federally managed land  According to GSA 2004 study, WRP

  19. Regional Workforce Study - SRSCRO

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    delved into four of the region's key economic drivers - nuclear, manufacturing, cybersecurityIT, and healthcare. TIP Strategies conducted a comprehensive analysis of the...

  20. Regional Energy Planning

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Hydroelectric Reciprocating Internal Combustion Engine Fossil Fuel Turbines Alaska Energy Statistics, 2011 4 Energy Costs Vary 5 Regional Energy Planning * Energy Pathways led to ...

  1. ERHIC INTERACTION REGION DESIGN.

    SciTech Connect

    MONTAG,C.PARKER,B.PTITSYN,V.TEPIKIAN,S.WANG,D.WANG,F.

    2003-10-13

    This paper presents the current interaction region design status of the ring-ring version of the electron-ion collider eRHIC (release 2.0).

  2. CEMI Western Regional Summit

    Energy.gov [DOE]

    Please Join Assistant Secretary of Energy Dr. David Danielson for the Clean Energy Manufacturing Initiative's Western Regional Summit. Register now for this free event.

  3. NEW ATLAS9 AND MARCS MODEL ATMOSPHERE GRIDS FOR THE APACHE POINT OBSERVATORY GALACTIC EVOLUTION EXPERIMENT (APOGEE)

    SciTech Connect

    Meszaros, Sz.; Allende Prieto, C.; De Vicente, A.; Edvardsson, B.; Gustafsson, B.; Castelli, F.; Garcia Perez, A. E.; Majewski, S. R.; Plez, B.; Schiavon, R.; Shetrone, M.

    2012-10-01

    We present a new grid of model photospheres for the SDSS-III/APOGEE survey of stellar populations of the Galaxy, calculated using the ATLAS9 and MARCS codes. New opacity distribution functions were generated to calculate ATLAS9 model photospheres. MARCS models were calculated based on opacity sampling techniques. The metallicity ([M/H]) spans from -5 to 1.5 for ATLAS and -2.5 to 0.5 for MARCS models. There are three main differences with respect to previous ATLAS9 model grids: a new corrected H{sub 2}O line list, a wide range of carbon ([C/M]) and {alpha} element [{alpha}/M] variations, and solar reference abundances from Asplund et al. The added range of varying carbon and {alpha}-element abundances also extends the previously calculated MARCS model grids. Altogether, 1980 chemical compositions were used for the ATLAS9 grid and 175 for the MARCS grid. Over 808,000 ATLAS9 models were computed spanning temperatures from 3500 K to 30,000 K and log g from 0 to 5, where larger temperatures only have high gravities. The MARCS models span from 3500 K to 5500 K, and log g from 0 to 5. All model atmospheres are publicly available online.

  4. Regional Analysis Briefs

    Reports and Publications

    2028-01-01

    Regional Analysis Briefs (RABs) provide an overview of specific regions that play an important role in world energy markets, either directly or indirectly. These briefs cover areas that are currently major producers (Caspian Sea), have geopolitical importance (South China Sea), or may have future potential as producers or transit areas (East Africa, Eastern Mediterranean).

  5. European Atlas of Soil Biodiversity | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Resource assessment Resource Type: Publications, Guidemanual Website: eusoils.jrc.ec.europa.eulibrarymapsbiodiversityatlasDocumentsBio UN Region: "Western & Eastern Europe"...

  6. Search for squarks and gluinos in final states with jets and missing transverse momentum at $$$\\sqrt{s}$$$ s =13 $$${\\mathrm{TeV}}$$$ TeV with the ATLAS detector

    DOE PAGES [OSTI]

    Aaboud, M.; Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Abeloos, B.; Aben, R.; AbouZeid, O. S.; Abraham, N. L.; Abramowicz, H.; et al

    2016-07-01

    A search for squarks and gluinos in final states containing hadronic jets, missing transverse momentum but no electrons or muons is presented. The data were recorded in 2015 by the ATLAS experiment in s=13TeV proton–proton collisions at the Large Hadron Collider. No excess above the Standard Model background expectation was observed in 3.2 fb-1 of analyzed data. Results are interpreted within simplified models that assume R -parity is conserved and the neutralino is the lightest supersymmetric particle. An exclusion limit at the 95 % confidence level on the mass of the gluino is set at 1.51 TeV for a simplifiedmore » model incorporating only a gluino octet and the lightest neutralino, assuming the lightest neutralino is massless. For a simplified model involving the strong production of mass-degenerate first- and second-generation squarks, squark masses below 1.03 TeV are excluded for a massless lightest neutralino. These limits substantially extend the region of supersymmetric parameter space excluded by previous measurements with the ATLAS detector.« less

  7. Regional Science Bowl

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    January » Regional Science Bowl Regional Science Bowl WHEN: Jan 23, 2016 8:00 AM - 5:00 PM WHERE: Highland High School 4700 Coal SE, Albuquerque, NM CONTACT: Janelle Vigil-Maestas (505) 665-4329 CATEGORY: Community INTERNAL: Calendar Login Event Description Five teams from Northern New Mexico area schools are among 16 participating in the middle school Regional Science Bowl competition. Northern area teams participating are from Los Alamos, Española, Cuba and Santa Fe. The winning team at this

  8. Third Carbon Sequestration Atlas Estimates Up to 5,700 Years of CO2 Storage Potential in U.S. and Portions of Canada

    Energy.gov [DOE]

    There could be as much as 5,700 years of carbon dioxide storage potential available in geologic formations in the United States and portions of Canada, according to the latest edition of the U.S. Department of Energy’s Carbon Sequestration Atlas (Atlas III).

  9. Delineating coal market regions

    SciTech Connect

    Solomon, B.D.; Pyrdol, J.J.

    1986-04-01

    This study addresses the delineation of US coal market regions and their evolution since the 1973 Arab oil embargo. Dichotomizing into compliance (low sulfur) and high sulfur coal deliveries, market regions are generated for 1973, 1977, and 1983. Focus is restricted to steam coal shipments to electric utilities, which currently account for over 80% of the total domestic market. A two-stage method is used. First, cluster analyses are performed on the origin-destination shipments data to generate baseline regions. This is followed by multiple regression analyses on CIF delivered price data for 1983. Sensitivity analysis on the configuration of the regions is also conducted, and some thoughts on the behavior of coal markets conclude the paper. 37 references, 6 figures, 2 tables.

  10. Regional Standards Enforcement

    Energy.gov [DOE]

    Central air conditioners are now subject to a base national standard in the North and different, regional standards in the Southeast and Southwest. This page provides information about those standards and how DOE enforces them.

  11. Regional Carbon Sequestration Partnerships

    Office of Energy Efficiency and Renewable Energy (EERE)

    DOE has created a network of seven Regional Carbon Sequestration Partnerships (RCSPs) to help develop the technology, infrastructure, and regulations to implement large-scale CO2 storage (also...

  12. CEMI Southeast Regional Summit

    Energy.gov [DOE]

    As part of the Clean Energy Manufacturing Initiative (CEMI), the U.S. Department of Energy (DOE) organizes regional summits around the country to expand its partnerships, share resources and...

  13. Regional companies eye growth

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Regional companies eye growth Regional companies eye growth Adaptive Radio Technologies, Los Alamos Visualization Associates, Mesa Tech International Inc., and ThermaSun Inc. were awarded from the Venture Acceleration Fund. August 21, 2009 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma physics and new

  14. PRACTICAL METHOD FOR ESTIMATING NEUTRON CROSS SECTION COVARIANCES IN THE RESONANCE REGION

    SciTech Connect

    Cho, Y.S.; Oblozinsky, P.; Mughabghab,S.F.; Mattoon,C.M.; Herman,M.

    2010-04-30

    Recent evaluations of neutron cross section covariances in the resolved resonance region reveal the need for further research in this area. Major issues include declining uncertainties in multigroup representations and proper treatment of scattering radius uncertainty. To address these issues, the present work introduces a practical method based on kernel approximation using resonance parameter uncertainties from the Atlas of Neutron Resonances. Analytical expressions derived for average cross sections in broader energy bins along with their sensitivities provide transparent tool for determining cross section uncertainties. The role of resonance-resonance and bin-bin correlations is specifically studied. As an example we apply this approach to estimate (n,{gamma}) and (n,el) covariances for the structural material {sup 55}Mn.

  15. Final technical evaluation report for the proposed revised reclamation plan for the Atlas Corporation Moab Mill

    SciTech Connect

    1997-03-01

    This final Technical Evaluation Report (TER) summarizes the US Nuclear Regulatory Commission staff`s review of Atlas Corporation`s proposed reclamation plan for its uranium mill tailings pile near Moab, Utah. The proposed reclamation would allow Atlas to (1) reclaim the tailings pile for permanent disposal and long-term custodial care by a government agency in its current location on the Moab site, (2) prepare the site for closure, and (3) relinquish responsibility of the site after having its NRC license terminated. The NRC staff concludes that, subject to license conditions identified in the TER, the proposed reclamation plan meets the requirements identified in NRC regulations, which appear primarily in 10 CFR Part 40. 112 refs., 6 figs., 16 tabs.

  16. The ATLAS Experiment: Mapping the Secrets of the Universe (LBNL Summer Lecture Series)

    ScienceCinema

    Barnett, Michael

    2011-04-28

    Summer Lecture Series 2007: Michael Barnett of Berkeley Lab's Physics Division discusses the ATLAS Experiment at the European Laboratory for Particle Physics' (CERN) Large Hadron Collider. The collider will explore the aftermath of collisions at the highest energy ever produced in the lab, and will recreate the conditions of the universe a billionth of a second after the Big Bang. The ATLAS detector is half the size of the Notre Dame Cathedral and required 2000 physicists and engineers from 35 countries for its construction. Its goals are to examine mini-black holes, identify dark matter, understand antimatter, search for extra dimensions of space, and learn about the fundamental forces that have shaped the universe since the beginning of time and will determine its fate.

  17. Probing lepton flavour violation via neutrinoless τ→3μ decays with the ATLAS detector

    DOE PAGES [OSTI]

    Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Aben, R.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; Abreu, H.; Abreu, R.; et al

    2016-04-26

    This article presents the sensitivity of the ATLAS experiment to the lepton-flavour-violating decays of τ→3μ. A method utilising the production of τ leptons via W→τν decays is used. This method is applied to the sample of 20.3 fb-1 of pp collision data at a centre-of-mass energy of 8 TeV collected by the ATLAS experiment at the LHC in 2012. Lastly, no event is observed passing the selection criteria, and the observed (expected) upper limit on the τ lepton branching fraction into three muons, Br(τ→3μ), is 3.76×10-7 (3.94×10-7 ) at 90 % confidence level.

  18. Northeast Regional Biomass Program

    SciTech Connect

    Lusk, P.D.

    1992-12-01

    The Northeast Regional Biomass Program has been in operation for a period of nine years. During this time, state managed programs and technical programs have been conducted covering a wide range of activities primarily aim at the use and applications of wood as a fuel. These activities include: assessments of available biomass resources; surveys to determine what industries, businesses, institutions, and utility companies use wood and wood waste for fuel; and workshops, seminars, and demonstrations to provide technical assistance. In the Northeast, an estimated 6.2 million tons of wood are used in the commercial and industrial sector, where 12.5 million cords are used for residential heating annually. Of this useage, 1504.7 mw of power has been generated from biomass. The use of wood energy products has had substantial employment and income benefits in the region. Although wood and woodwaste have received primary emphasis in the regional program, the use of municipal solid waste has received increased emphasis as an energy source. The energy contribution of biomass will increase as potentia users become more familiar with existing feedstocks, technologies, and applications. The Northeast Regional Biomass Program is designed to support region-specific to overcome near-term barriers to biomass energy use.

  19. Tailings Pile Seepage Model The Atlas Corporation Moab Mill Moab, Utah

    SciTech Connect

    Easterly, CE

    2001-11-05

    The project described in this report was conducted by personnel from Oak Ridge National Laboratory's Grand Junction Office (ORNL/GJ). This report has been prepared as a companion report to the Limited Groundwater Investigation of the Atlas Corporation Moab Mill, Moab, Utah. The purpose of this report is to present the results of the tailings pile seepage modeling effort tasked by the U.S. Nuclear Regulatory Commission (NRC).

  20. NV PFA Regional Data

    SciTech Connect

    James Faulds

    2015-10-28

    This project focused on defining geothermal play fairways and development of a detailed geothermal potential map of a large transect across the Great Basin region (96,000 km2), with the primary objective of facilitating discovery of commercial-grade, blind geothermal fields (i.e. systems with no surface hot springs or fumaroles) and thereby accelerating geothermal development in this promising region. Data included in this submission consists of: structural settings (target areas, recency of faulting, slip and dilation potential, slip rates, quality), regional-scale strain rates, earthquake density and magnitude, gravity data, temperature at 3 km depth, permeability models, favorability models, degree of exploration and exploration opportunities, data from springs and wells, transmission lines and wilderness areas, and published maps and theses for the Nevada Play Fairway area.

  1. Search for new phenomena in events with at least three photons collected in pp collisions at √s = 8 TeV with the ATLAS detector

    DOE PAGES [OSTI]

    Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Aben, R.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; Abreu, H.; Abreu, R.; et al

    2016-04-01

    Results of a search for new phenomena in events with at least three photons are reported. Data from proton–proton collisions at a centre-of-mass energy of 8 TeV, corresponding to an integrated luminosity of 20.3 fb-1, were collected with the ATLAS detector at the LHC. The observed data are well described by the Standard Model. Limits at the 95 % confidence level on new phenomena are presented based on the rate of events in an inclusive signal region and a restricted signal region targeting the rare decay Z→3γ, as well as di-photon and tri-photon resonance searches. For a Standard Model Higgsmore » boson decaying to four photons via a pair of intermediate pseudoscalar particles (a), limits are found to be σ× BR (h→aa)× BR (a→γγ)2<10-3σSM for 10 GeV a< 62 GeV. Finally, limits are also presented for Higgs boson-like scalars (H) for mH> 125 GeV, and for a Z' decaying to three photons via Z'→a+γ→3γ. Additionally, the observed limit on the branching ratio of the Z boson decay to three photons is found to be BR(Z→3γ)<2.2×10-6, a result five times stronger than the previous result from LEP.« less

  2. Experimental and code simulation of a station blackout scenario for APR1400 with test facility ATLAS and MARS code

    SciTech Connect

    Yu, X. G.; Kim, Y. S.; Choi, K. Y.; Park, H. S.; Cho, S.; Kang, K. H.; Choi, N. H.

    2012-07-01

    A SBO (station blackout) experiment named SBO-01 was performed at full-pressure IET (Integral Effect Test) facility ATLAS (Advanced Test Loop for Accident Simulation) which is scaled down from the APR1400 (Advanced Power Reactor 1400 MWe). In this study, the transient of SBO-01 is discussed and is subdivided into three phases: the SG fluid loss phase, the RCS fluid loss phase, and the core coolant depletion and core heatup phase. In addition, the typical phenomena in SBO-01 test - SG dryout, natural circulation, core coolant boiling, the PRZ full, core heat-up - are identified. Furthermore, the SBO-01 test is reproduced by the MARS code calculation with the ATLAS model which represents the ATLAS test facility. The experimental and calculated transients are then compared and discussed. The comparison reveals there was malfunction of equipments: the SG leakage through SG MSSV and the measurement error of loop flow meter. As the ATLAS model is validated against the experimental results, it can be further employed to investigate the other possible SBO scenarios and to study the scaling distortions in the ATLAS. (authors)

  3. Supplemental Modeling and Analysis Report, Atlas Corporation Moab Mill, Moab, Utah

    SciTech Connect

    Easterly, CE

    2001-11-05

    The purpose of this report is to provide additional numerical modeling and data evaluation for the Atlas tailings pile near Moab, Utah. A previous report (Tailings Pile Seepage Model: The Atlas Corporation Moab Mill, Moab, Utah, January 9, 1998) prepared for the Nuclear Regulatory Commission (NRC) by Oak Ridge National Laboratory/Grand Junction (ORNL/GJ) presented the results of steady-state modeling of water flow and subsequent discharge to the underlying groundwater system. At the request of the Fish and Wildlife Service (FWS), this model was expanded to evaluate the impact of drainage from the tailings pile in addition to recharge from precipitation in a transient mode simulation. In addition, the FWS requested transient simulations of contaminant transport in the alluvial aquifer. Subsequently, NRC requested an evaluation of additional hydrologic issues related to the results presented in the Tailings Pile Seepage Model (ORNL/GJ 1998a) and the Limited Groundwater Investigation (ORNL/GJ 1998b). Funding for the report was provided by the U.S. Department of Energy. The following section lists the individual tasks with subsequent sections providing the results. A map for the Atlas Moab Mill site is presented in Fig. 1.1.

  4. Pennsylvania Regional Infrastructure Project

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CTC Team 1 Pennsylvania Regional Infrastructure Project Presentation by: The Concurrent Technologies Corporation (CTC) Team January 6, 2004 The CTC Team 2 Presentation Outline Introduction of CTC Team CTC Background Technical Approach - CTC Team Member Presentations Conclusions The CTC Team 3 The CTC Project Team Concurrent Technologies Corporation Program Management and Coordination Hydrogen Delivery and Storage Material Development Hydrogen Sensors Concurrent Technologies Corporation Program

  5. Measurement of distributions sensitive to the underlying event in inclusive Z-boson production in pp collisions at √s = 7 TeV with the ATLAS detector

    DOE PAGES [OSTI]

    Aad, G.

    2014-12-10

    A measurement of charged-particle distributions sensitive to the properties of the underlying event is presented for an inclusive sample of events containing a \\(Z\\)-boson, decaying to an electron or muon pair. The measurement is based on data collected using the ATLAS detector at the LHC in proton–proton collisions at a centre-of-mass energy of \\(7\\) TeV with an integrated luminosity of \\(4.6\\) fb\\(^{-1}\\). Distributions of the charged particle multiplicity and of the charged particle transverse momentum are measured in regions of azimuthal angle defined with respect to the \\(Z\\)-boson direction. As a result, the measured distributions are compared to similar distributionsmore » measured in jet events, and to the predictions of various Monte Carlo generators implementing different underlying event models.« less

  6. Regions for Select Spot Prices

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    are used to represent the following regions: Region Gas Point Used Power Point Used New England Algonquin Citygate Massachusetts Hub (ISONE) New York City Transco Zone 6-NY...

  7. Introduction: Regional Dialogue Contract Templates

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Introduction: Regional Dialogue Contract Templates October 17, 2007 1. Summary * BPA invites comments on the first draft of the Regional Dialogue Master Template by Friday,...

  8. Groundwater in the Regional Aquifer

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Groundwater in the Regional Aquifer Groundwater in the Regional Aquifer LANL maintains an ... August 1, 2013 Conceptual model of water movement and geology at Los Alamos National ...

  9. Regional Shelter Analysis Methodology

    SciTech Connect

    Dillon, Michael B.; Dennison, Deborah; Kane, Jave; Walker, Hoyt; Miller, Paul

    2015-08-01

    The fallout from a nuclear explosion has the potential to injure or kill 100,000 or more people through exposure to external gamma (fallout) radiation. Existing buildings can reduce radiation exposure by placing material between fallout particles and exposed people. Lawrence Livermore National Laboratory was tasked with developing an operationally feasible methodology that could improve fallout casualty estimates. The methodology, called a Regional Shelter Analysis, combines the fallout protection that existing buildings provide civilian populations with the distribution of people in various locations. The Regional Shelter Analysis method allows the consideration of (a) multiple building types and locations within buildings, (b) country specific estimates, (c) population posture (e.g., unwarned vs. minimally warned), and (d) the time of day (e.g., night vs. day). The protection estimates can be combined with fallout predictions (or measurements) to (a) provide a more accurate assessment of exposure and injury and (b) evaluate the effectiveness of various casualty mitigation strategies. This report describes the Regional Shelter Analysis methodology, highlights key operational aspects (including demonstrating that the methodology is compatible with current tools), illustrates how to implement the methodology, and provides suggestions for future work.

  10. Colorado Regional Faults

    SciTech Connect

    Hussein, Khalid

    2012-02-01

    Citation Information: Originator: Earth Science &Observation Center (ESOC), CIRES, University of Colorado at Boulder Originator: Colorado Geological Survey (CGS) Publication Date: 2012 Title: Regional Faults Edition: First Publication Information: Publication Place: Earth Science & Observation Center, Cooperative Institute for Research in Environmental Science, University of Colorado, Boulder Publisher: Earth Science &Observation Center (ESOC), CIRES, University of Colorado at Boulder Description: This layer contains the regional faults of Colorado Spatial Domain: Extent: Top: 4543192.100000 m Left: 144385.020000 m Right: 754585.020000 m Bottom: 4094592.100000 m Contact Information: Contact Organization: Earth Science &Observation Center (ESOC), CIRES, University of Colorado at Boulder Contact Person: Khalid Hussein Address: CIRES, Ekeley Building Earth Science & Observation Center (ESOC) 216 UCB City: Boulder State: CO Postal Code: 80309-0216 Country: USA Contact Telephone: 303-492-6782 Spatial Reference Information: Coordinate System: Universal Transverse Mercator (UTM) WGS’1984 Zone 13N False Easting: 500000.00000000 False Northing: 0.00000000 Central Meridian: -105.00000000 Scale Factor: 0.99960000 Latitude of Origin: 0.00000000 Linear Unit: Meter Datum: World Geodetic System 1984 (WGS ’984) Prime Meridian: Greenwich Angular Unit: Degree Digital Form: Format Name: Shape file

  11. Evidence for Electroweak Production of W±W±jj in pp Collisions at s=8  TeV with the ATLAS Detector

    DOE PAGES [OSTI]

    Aad, G.; Abbott, B.; Abdallah, J.; Abdel Khalek, S.; Abdinov, O.; Aben, R.; Abi, B.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; et al

    2014-10-03

    This paper presents the first study of W± W± jj, same-electric-charge diboson production in association with two jets, using 20.3 fb₋1 of proton-proton collision data at √s= 8 TeV recorded by the ATLAS detector at the Large Hadron Collider. Events with two reconstructed same-charge leptons (e± e± , e± μ± , and μ± μ± ) and two or more jets are analyzed. Production cross sections are measured in two fiducial regions, with different sensitivities to the electroweak and strong production mechanisms. First evidence for W± W± jj production and electroweak-only W± W± jj production is observed with a significance ofmore » 4.5 and 3.6 standard deviations, respectively. The measured production cross sections are in agreement with standard model predictions. Limits at 95% confidence level are set on anomalous quartic gauge couplings.« less

  12. Search for anomalous production of prompt like-sign lepton pairs at $$ \\sqrt{s}=7\\;\\mathrm{TeV} $$ with the ATLAS detector

    DOE PAGES [OSTI]

    Aad, G.

    2012-12-03

    An inclusive search for anomalous production of two prompt, isolated leptons with the same electric charge is presented. The search is performed in a data sample corresponding to 4.7 fb-1 of integrated luminosity collected in 2011 at √s = 7 TeV with the ATLAS detector at the LHC. Pairs of leptons (e± e±, e± μ±, and μ± μ±) with large transverse momentum are selected, and the dilepton invariant mass distribution is examined for any deviation from the Standard Model expectation. No excess is found, and upper limits on the production cross section of like-sign lepton pairs from physics processes beyondmore » the Standard Model are placed as a function of the dilepton invariant mass within a fiducial region close to the experimental selection criteria. The 95% confidence level upper limits on the cross section of anomalous e± e±, e± μ±, or μ± μ± production range between 1.7 fb and 64 fb depending on the dilepton mass and flavour combination.« less

  13. Measurement of the low-mass Drell-Yan differential cross section at √s = 7 TeV using the ATLAS detector

    DOE PAGES [OSTI]

    Aad, G.

    2014-06-18

    The differential cross section for the process Z/γ → ℓℓ (ℓ = e,μ) as a function of dilepton invariant mass is measured in pp collisions at √s = 7 TeV at the LHC using the ATLAS detector. The measurement is performed in the e and μ channels for invariant masses between 26 GeV and 66 GeV using an integrated luminosity of 1.6 fb-1 collected in 2011 and these measurements are combined. The analysis is extended to invariant masses as low as 12 GeV in the muon channel using 35 pb-1 of data collected in 2010. The cross sections are determinedmore » within fiducial acceptance regions and corrections to extrapolate the measurements to the full kinematic range are provided. Next-to-next-to-leading-order QCD predictions provide a significantly better description of the results than next-to-leading order QCD calculations, unless the latter are matched to a parton shower calculation.« less

  14. Study of jet shapes in inclusive jet production in pp collisions at √s=7 TeV using the ATLAS detector

    DOE PAGES [OSTI]

    Aad, G.; Abbott, B.; Abdallah, J.; Abdelalim, A. A.; Abdesselam, A.; Abdinov, O.; Abi, B.; Abolins, M.; Abramowicz, H.; Abreu, H.; et al

    2011-03-08

    Jet shapes have been measured in inclusive jet production in proton-proton collisions at s√=7  TeV using 3  pb⁻¹ of data recorded by the ATLAS experiment at the LHC. Jets are reconstructed using the anti-kt algorithm with transverse momentum 30  GeVT<600  GeV and rapidity in the region |y|<2.8. The data are corrected for detector effects and compared to several leading-order QCD matrix elements plus parton shower Monte Carlo predictions, including different sets of parameters tuned to model fragmentation processes and underlying event contributions in the final state. The measured jets become narrower with increasing jet transverse momentum and the jet shapes present a moderate jetmore » rapidity dependence. Within QCD, the data test a variety of perturbative and nonperturbative effects. In particular, the data show sensitivity to the details of the parton shower, fragmentation, and underlying event models in the Monte Carlo generators. For an appropriate choice of the parameters used in these models, the data are well described.« less

  15. THE INFRARED PROPERTIES OF SOURCES MATCHED IN THE WISE ALL-SKY AND HERSCHEL ATLAS SURVEYS

    SciTech Connect

    Bond, Nicholas A.; Benford, Dominic J.; Gardner, Jonathan P.; Amblard, Alexandre; Blain, Andrew W.; Dunne, Loretta; Maddox, Steve J.; Hoyos, Carlos; Bourne, Nathan; Smith, Daniel J. B.; Bonfield, David; Baes, Maarten; Bridge, Carrie; Buttiglione, Sara; De Zotti, Gianfranco; Cava, Antonio; Clements, David; Cooray, Asantha; Dariush, Ali; and others

    2012-05-01

    We describe the infrared properties of sources detected over {approx}36 deg{sup 2} of sky in the GAMA 15 hr equatorial field, using data from both the Herschel Astrophysical Terahertz Large-Area Survey (H-ATLAS) and Wide-field Infrared Survey (WISE). With 5{sigma} point-source depths of 34 and 0.048 mJy at 250 {mu}m and 3.4 {mu}m, respectively, we are able to identify 50.6% of the H-ATLAS sources in the WISE survey, corresponding to a surface density of {approx}630 deg{sup -2}. Approximately two-thirds of these sources have measured spectroscopic or optical/near-IR photometric redshifts of z < 1. For sources with spectroscopic redshifts at z < 0.3, we find a linear correlation between the infrared luminosity at 3.4 {mu}m and that at 250 {mu}m, with {+-}50% scatter over {approx}1.5 orders of magnitude in luminosity, {approx}10{sup 9}-10{sup 10.5} L{sub Sun }. By contrast, the matched sources without previously measured redshifts (r {approx}> 20.5) have 250-350 {mu}m flux density ratios which suggest either high-redshift galaxies (z {approx}> 1.5) or optically faint low-redshift galaxies with unusually low temperatures (T {approx}< 20). Their small 3.4-250 {mu}m flux ratios favor a high-redshift galaxy population, as only the most actively star-forming galaxies at low redshift (e.g., Arp 220) exhibit comparable flux density ratios. Furthermore, we find a relatively large active galactic nucleus fraction ({approx}30%) in a 12 {mu}m flux-limited subsample of H-ATLAS sources, also consistent with there being a significant population of high-redshift sources in the no-redshift sample.

  16. Evaluation of Automatic Atlas-Based Lymph Node Segmentation for Head-and-Neck Cancer

    SciTech Connect

    Stapleford, Liza J.; Lawson, Joshua D.; Perkins, Charles; Edelman, Scott; Davis, Lawrence

    2010-07-01

    Purpose: To evaluate if automatic atlas-based lymph node segmentation (LNS) improves efficiency and decreases inter-observer variability while maintaining accuracy. Methods and Materials: Five physicians with head-and-neck IMRT experience used computed tomography (CT) data from 5 patients to create bilateral neck clinical target volumes covering specified nodal levels. A second contour set was automatically generated using a commercially available atlas. Physicians modified the automatic contours to make them acceptable for treatment planning. To assess contour variability, the Simultaneous Truth and Performance Level Estimation (STAPLE) algorithm was used to take collections of contours and calculate a probabilistic estimate of the 'true' segmentation. Differences between the manual, automatic, and automatic-modified (AM) contours were analyzed using multiple metrics. Results: Compared with the 'true' segmentation created from manual contours, the automatic contours had a high degree of accuracy, with sensitivity, Dice similarity coefficient, and mean/max surface disagreement values comparable to the average manual contour (86%, 76%, 3.3/17.4 mm automatic vs. 73%, 79%, 2.8/17 mm manual). The AM group was more consistent than the manual group for multiple metrics, most notably reducing the range of contour volume (106-430 mL manual vs. 176-347 mL AM) and percent false positivity (1-37% manual vs. 1-7% AM). Average contouring time savings with the automatic segmentation was 11.5 min per patient, a 35% reduction. Conclusions: Using the STAPLE algorithm to generate 'true' contours from multiple physician contours, we demonstrated that, in comparison with manual segmentation, atlas-based automatic LNS for head-and-neck cancer is accurate, efficient, and reduces interobserver variability.

  17. Coal-Producing Region

    Energy Information Administration (EIA) (indexed site)

    . Coal Production by State (thousand short tons) Year to Date Coal-Producing Region and State April - June 2016 January - March 2016 April - June 2015 2016 2015 Percent Change Alabama 2,223 2,446 3,504 4,669 7,561 -38.2 Alaska 228 310 345 538 610 -11.9 Arizona 1,235 1,335 1,912 2,569 3,667 -29.9 Arkansas 15 11 27 27 48 -44.9 Colorado 3,081 2,482 5,078 5,564 10,341 -46.2 Illinois 11,125 11,312 13,391 22,437 30,221 -25.8 Indiana 6,963 7,224 8,577 14,187 18,040 -21.4 Kansas - 27 49 27 102 -73.9

  18. Strengthening regional safeguards

    SciTech Connect

    Palhares, L.; Almeida, G.; Mafra, O.

    1996-08-01

    Nuclear cooperation between Argentina and Brazil has been growing since the early 1980`s and as it grew, so did cooperation with the US Department of Energy (DOE). The Brazilian-Argentine Agency for Accounting and Control of Nuclear Materials (ABACC) was formed in December 1991 to operate the Common System of Accounting and Control of Nuclear Materials (SCCC). In April 1994, ABACC and the DOE signed an Agreement of Cooperation in nuclear material safeguards. This cooperation has included training safeguards inspectors, exchanging nuclear material measurement and containment and surveillance technology, characterizing reference materials, and studying enrichment plant safeguards. The goal of the collaboration is to exchange technology, evaluate new technology in Latin American nuclear facilities, and strengthen regional safeguards. This paper describes the history of the cooperation, its recent activities, and future projects. The cooperation is strongly supported by all three governments: the Republics of Argentina and Brazil and the United States.

  19. Dark Matter Benchmark Models for Early LHC Run-2 Searches. Report of the ATLAS/CMS Dark Matter Forum

    SciTech Connect

    Abercrombie, Daniel

    2015-07-06

    One of the guiding principles of this report is to channel the efforts of the ATLAS and CMS collaborations towards a minimal basis of dark matter models that should influence the design of the early Run-2 searches. At the same time, a thorough survey of realistic collider signals of Dark Matter is a crucial input to the overall design of the search program.

  20. Mr. W. Librirzi Regional Superfund Office EPA Region II

    Office of Legacy Management (LM)

    W. Librirzi Regional Superfund Office EPA Region II 4th Floor 26 Federal Plaza New York, ... Steel Corporation H. Snyder, EPA HQS T. DeBore, NYS Energy Office Y. Ogden, Commerce Dept. ...

  1. SPACE code simulation of cold leg small break LOCA in the ATLAS integral test

    SciTech Connect

    Kim, B. J.; Kim, H. T.; Kim, J.; Kim, K. D.

    2012-07-01

    SPACE code is a system analysis code for pressurized water reactors. This code uses a two-fluid and three-field model. For a few years, intensive validations have been performed to secure the prediction accuracy of models and correlations for two-phase flow and heat transfer. Recently, the code version 1.0 was released. This study is to see how well SPACE code predicts thermal hydraulic phenomena of an integral effect test. The target experiment is a cold leg small break LOCA in the ATLAS facility, which has the same two-loop features as APR1400. Predicted parameters were compared with experimental observations. (authors)

  2. Saturn's inner satellites: Orbits, masses, and the chaotic motion of atlas from new Cassini imaging observations

    SciTech Connect

    Cooper, N. J.; Murray, C. D.; Renner, S.; Evans, M. W.

    2015-01-01

    We present numerically derived orbits and mass estimates for the inner Saturnian satellites, Atlas, Prometheus, Pandora, Janus, and Epimetheus from a fit to 2580 new Cassini Imaging Science Subsystem astrometric observations spanning 2004 February to 2013 August. The observations are provided as machine-readable and Virtual Observatory tables. We estimate GM{sub Atlas} = (0.384 0.001) 10{sup ?3} km{sup 3} s{sup ?2}, a value 13% smaller than the previously published estimate but with an order of magnitude reduction in the uncertainty. We also find GM{sub Prometheus} = (10.677 0.006) 10{sup ?3} km{sup 3} s{sup ?2}, GM{sub Pandora} = (9.133 0.009) 10{sup ?3} km{sup 3} s{sup ?2}, GM{sub Janus} = (126.51 0.03) 10{sup ?3} km{sup 3} s{sup ?2}, and GM{sub Epimetheus} = (35.110 0.009) 10{sup ?3} km{sup 3} s{sup ?2}, consistent with previously published values, but also with significant reductions in uncertainties. We show that Atlas is currently librating in both the 54:53 co-rotation-eccentricity resonance (CER) and the 54:53 inner Lindblad (ILR) resonance with Prometheus, making it the latest example of a coupled CER-ILR system, in common with the Saturnian satellites Anthe, Aegaeon, and Methone, and possibly Neptune's ring arcs. We further demonstrate that Atlas's orbit is chaotic, with a Lyapunov time of ?10 years, and show that its chaotic behavior is a direct consequence of the coupled resonant interaction with Prometheus, rather than being an indirect effect of the known chaotic interaction between Prometheus and Pandora. We provide an updated analysis of the second-order resonant perturbations involving Prometheus, Pandora, and Epimetheus based on the new observations, showing that these resonant arguments are librating only when Epimetheus is the innermost of the co-orbital pair, Janus and Epimetheus. We also find evidence that the known chaotic changes in the orbits of Prometheus and Pandora are not confined to times of apse anti-alignment.

  3. Priority I and II Experiments Approved at the June 26-27, 2009 ATLAS PAC

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Meeting 6-27, 2009 ATLAS PAC Meeting Proposal # PI Name Title Days 1032-5 S. Marley Study of Excited States in 13O II (8) 1062-2 J. Snyder DSAM Lifetimes and RIV g-factor measurements for fission fragments using GAMMASPHERE and HERCULES 14 1205x-2 M. Paul (gamma,n) production of p-process nuclide 146Sm 5 1207-2 R. Segel Electroweak interaction tests using trapped 8Li ions 10 1253-2 P. Chowdhury Collective oblate rotation at high spins in neutron-rich 184,186W 6 1260-2 J. F. Smith Non-yrast

  4. Priority I and II Experiments Approved at the June 27-28, 2008 ATLAS PAC

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Meeting 7-28, 2008 ATLAS PAC Meeting Proposal # PI Name Title Days 1183-2 A. A. Hecht Towards 100Sn: measuring the masses of the light tin isotopes 4 1206-2 B. S. N. Singh Quantifying oblate collectivity in the N = Z nucleus 68Se 4 1219-2 A. Lopez-Martens Superdeformed ridge properties in 192Hg: probing the new phenomena of ergodic bands and motional narrowing 7 1228X W. Loveland The Synthesis of Superheavy Nuclei Using Damped Collisions--A Test 1 1230 X. Wang Lifetimes of the TSD candidate

  5. Priority I and II Experiments Approved at the November 2-3, 2007 ATLAS PAC

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Meeting November 2-3, 2007 ATLAS PAC Meeting Proposal # PI Name Title Days 993-3 C. Wu Rotational alignment of j15/2 neutron orbitals in the Np isotopes (5) 1046-2 R. Weinstein Continuing Optimization of Pinning Centers: Entanglement and Area Density 2 1113-4 D. Hartley Competition Between the Wobbling Mode and Particle-Hole Excitations: Search for TSD Bands in 167Ta 5 1159-3 D. Seweryniak Core excitations and single-neutron states in 101Sn 10 1163-2 T. Ahn Evolution of the one-phonon

  6. HERSCHEL-ATLAS: TOWARD A SAMPLE OF {approx}1000 STRONGLY LENSED GALAXIES

    SciTech Connect

    Gonzalez-Nuevo, J.; Lapi, A.; Bressan, S.; Danese, L.; De Zotti, G.; Cai, Z.-Y.; Fan, L.; Fleuren, S.; Sutherland, W.; Negrello, M.; Baes, M.; Baker, A. J.; Clements, D. L.; Cooray, A.; Dannerbauer, H.; Dunne, L.; Dye, S.; Eales, S.; Frayer, D. T.; Harris, A. I.; and others

    2012-04-10

    While the selection of strongly lensed galaxies (SLGs) with 500 {mu}m flux density S{sub 500} > 100 mJy has proven to be rather straightforward, for many applications it is important to analyze samples larger than the ones obtained when confining ourselves to such a bright limit. Moreover, only by probing to fainter flux densities is it possible to exploit strong lensing to investigate the bulk of the high-z star-forming galaxy population. We describe HALOS (the Herschel-ATLAS Lensed Objects Selection), a method for efficiently selecting fainter candidate SLGs, reaching a surface density of {approx_equal} 1.5-2 deg{sup -2}, i.e., a factor of about 4-6 higher than that at the 100 mJy flux limit. HALOS will allow the selection of up to {approx}1000 candidate SLGs (with amplifications {mu} {approx}> 2) over the full H-ATLAS survey area. Applying HALOS to the H-ATLAS Science Demonstration Phase field ({approx_equal} 14.4 deg{sup 2}) we find 31 candidate SLGs, whose candidate lenses are identified in the VIKING near-infrared catalog. Using the available information on candidate sources and candidate lenses we tentatively estimate a {approx_equal} 72% purity of the sample. As expected, the purity decreases with decreasing flux density of the sources and with increasing angular separation between candidate sources and lenses. The redshift distribution of the candidate lensed sources is close to that reported for most previous surveys for lensed galaxies, while that of candidate lenses extends to redshifts substantially higher than found in the other surveys. The counts of candidate SLGs are also in good agreement with model predictions. Even though a key ingredient of the method is the deep near-infrared VIKING photometry, we show that H-ATLAS data alone allow the selection of a similarly deep sample of candidate SLGs with an efficiency close to 50%; a slightly lower surface density ({approx_equal} 1.45 deg{sup -2}) can be reached with a {approx}70% efficiency.

  7. Experiments Approved at the May 20-21, 2005 ATLAS PAC Meeting

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Priority I Experiments Approved at the May 20-21, 2005 ATLAS PAC Meeting Proposal # PI Name Title Days 1036-2 S. Williams High Spin States in the T = 3/2 Mirror Nuclei 37Ca and 37Cl, and the T = 1/2 Mirror Nuclei 37K and 37Ar 4 1050-2 M.A.Bentley High Spin States in the N=Z-3 Nucleus 49Fe - Coulomb Effects at Large Proton Excess 6 1078-2 N. Scielzo Production of 14O for Future Measurements with the Advanced Penning Trap and Precision Measurement of the Q-Value of the Superallowed Branch 7 1085

  8. Diffraction and forward physics results of the ATLAS experiment from the Run I

    SciTech Connect

    Taevsk, Marek

    2015-04-10

    Various aspects of forward physics have been studied by the ATLAS collaboration using data from Run I at the LHC. In this text, main results of four published analyses are summarized, all based on data from proton-proton collisions at ?(s)=7 TeV collected in 2010 or 2011. Two analyses deal with the diffractive signature, one based on single-sided events, the other on large rapidity gaps in soft events. In addition, a recent measurement of the total pp cross section using the ALFA subdetector and a recent study of higher-order QCD effects using a jet veto are discussed.

  9. Prospective Randomized Double-Blind Pilot Study of Site-Specific Consensus Atlas Implementation for Rectal Cancer Target Volume Delineation in the Cooperative Group Setting

    SciTech Connect

    Fuller, Clifton D.; Nijkamp, Jasper; Duppen, Joop C.; Rasch, Coen R.N.; Thomas, Charles R.; Wang, Samuel J.; Okunieff, Paul; Jones, William E.; Baseman, Daniel; Patel, Shilpen; Demandante, Carlo G.N.; Harris, Anna M.; Smith, Benjamin D.; Katz, Alan W.; McGann, Camille

    2011-02-01

    Purpose: Variations in target volume delineation represent a significant hurdle in clinical trials involving conformal radiotherapy. We sought to determine the effect of a consensus guideline-based visual atlas on contouring the target volumes. Methods and Materials: A representative case was contoured (Scan 1) by 14 physician observers and a reference expert with and without target volume delineation instructions derived from a proposed rectal cancer clinical trial involving conformal radiotherapy. The gross tumor volume (GTV), and two clinical target volumes (CTVA, including the internal iliac, presacral, and perirectal nodes, and CTVB, which included the external iliac nodes) were contoured. The observers were randomly assigned to receipt (Group A) or nonreceipt (Group B) of a consensus guideline and atlas for anorectal cancers and then instructed to recontour the same case/images (Scan 2). Observer variation was analyzed volumetrically using the conformation number (CN, where CN = 1 equals total agreement). Results: Of 14 evaluable contour sets (1 expert and 7 Group A and 6 Group B observers), greater agreement was found for the GTV (mean CN, 0.75) than for the CTVs (mean CN, 0.46-0.65). Atlas exposure for Group A led to significantly increased interobserver agreement for CTVA (mean initial CN, 0.68, after atlas use, 0.76; p = .03) and increased agreement with the expert reference (initial mean CN, 0.58; after atlas use, 0.69; p = .02). For the GTV and CTVB, neither the interobserver nor the expert agreement was altered after atlas exposure. Conclusion: Consensus guideline atlas implementation resulted in a detectable difference in interobserver agreement and a greater approximation of expert volumes for the CTVA but not for the GTV or CTVB in the specified case. Visual atlas inclusion should be considered as a feature in future clinical trials incorporating conformal RT.

  10. Reliable and redundant FPGA based read-out design in the ATLAS TileCal Demonstrator

    SciTech Connect

    Akerstedt, Henrik; Muschter, Steffen; Drake, Gary; Anderson, Kelby; Bohm, Christian; Oreglia, Mark; Tang, Fukun

    2015-10-01

    The Tile Calorimeter at ATLAS [1] is a hadron calorimeter based on steel plates and scintillating tiles read out by PMTs. The current read-out system uses standard ADCs and custom ASICs to digitize and temporarily store the data on the detector. However, only a subset of the data is actually read out to the counting room. The on-detector electronics will be replaced around 2023. To achieve the required reliability the upgraded system will be highly redundant. Here the ASICs will be replaced with Kintex-7 FPGAs from Xilinx. This, in addition to the use of multiple 10 Gbps optical read-out links, will allow a full read-out of all detector data. Due to the higher radiation levels expected when the beam luminosity is increased, opportunities for repairs will be less frequent. The circuitry and firmware must therefore be designed for sufficiently high reliability using redundancy and radiation tolerant components. Within a year, a hybrid demonstrator including the new readout system will be installed in one slice of the ATLAS Tile Calorimeter. This will allow the proposed upgrade to be thoroughly evaluated well before the planned 2023 deployment in all slices, especially with regard to long term reliability. Different firmware strategies alongside with their integration in the demonstrator are presented in the context of high reliability protection against hardware malfunction and radiation induced errors.

  11. Search for New Physics with Top and Bottom Quarks with ATLAS

    SciTech Connect

    Khanov, Alexander

    2013-12-11

    The studies performed by the principal investigator during the period of the grant constitute the ground work for search for new physics in channels including top and bottom quarks with the ATLAS detector at the Large Hadron Collider. The PI has been involved in search for heavy charged Higgs bosons decaying into top and bottom quark pairs, and top quark rare decays involving Higgs bosons and c-quarks. Both channels have the top quark pair production as their main background, which was studied in detail. The search for heavy charged Higgs and top quark rare decays requires signi cant amount of data accumulated by the experiment. In case no signal is observed in the present data sample collected by ATLAS (5 fb{sup -1} of integrated luminosity at proton-anti proton center-of-mass energy of 7 TeV and 20 fb{sup -1} at 8 TeV), data from the upgraded detector running at 14 TeV needs to be analyzed. The PI has been working on physics and performance studies at upgraded detector.

  12. Emission measure distribution for diffuse regions in solar active regions

    SciTech Connect

    Subramanian, Srividya; Tripathi, Durgesh; Klimchuk, James A.; Mason, Helen E.

    2014-11-01

    Our knowledge of the diffuse emission that encompasses active regions is very limited. In this paper we investigate two off-limb active regions, namely, AR 10939 and AR 10961, to probe the underlying heating mechanisms. For this purpose, we have used spectral observations from Hinode/EIS and employed the emission measure (EM) technique to obtain the thermal structure of these diffuse regions. Our results show that the characteristic EM distributions of the diffuse emission regions peak at log T = 6.25 and the coolward slopes are in the range 1.4-3.3. This suggests that both low- as well as high-frequency nanoflare heating events are at work. Our results provide additional constraints on the properties of these diffuse emission regions and their contribution to the background/foreground when active region cores are observed on-disk.

  13. SU-E-I-71: Quality Assessment of Surrogate Metrics in Multi-Atlas-Based Image Segmentation

    SciTech Connect

    Zhao, T; Ruan, D

    2015-06-15

    Purpose: With the ever-growing data of heterogeneous quality, relevance assessment of atlases becomes increasingly critical for multi-atlas-based image segmentation. However, there is no universally recognized best relevance metric and even a standard to compare amongst candidates remains elusive. This study, for the first time, designs a quantification to assess relevance metrics’ quality, based on a novel perspective of the metric as surrogate for inferring the inaccessible oracle geometric agreement. Methods: We first develop an inference model to relate surrogate metrics in image space to the underlying oracle relevance metric in segmentation label space, with a monotonically non-decreasing function subject to random perturbations. Subsequently, we investigate model parameters to reveal key contributing factors to surrogates’ ability in prognosticating the oracle relevance value, for the specific task of atlas selection. Finally, we design an effective contract-to-noise ratio (eCNR) to quantify surrogates’ quality based on insights from these analyses and empirical observations. Results: The inference model was specialized to a linear function with normally distributed perturbations, with surrogate metric exemplified by several widely-used image similarity metrics, i.e., MSD/NCC/(N)MI. Surrogates’ behaviors in selecting the most relevant atlases were assessed under varying eCNR, showing that surrogates with high eCNR dominated those with low eCNR in retaining the most relevant atlases. In an end-to-end validation, NCC/(N)MI with eCNR of 0.12 compared to MSD with eCNR of 0.10 resulted in statistically better segmentation with mean DSC of about 0.85 and the first and third quartiles of (0.83, 0.89), compared to MSD with mean DSC of 0.84 and the first and third quartiles of (0.81, 0.89). Conclusion: The designed eCNR is capable of characterizing surrogate metrics’ quality in prognosticating the oracle relevance value. It has been demonstrated to be

  14. " Electricity Generation by Census Region...

    Energy Information Administration (EIA) (indexed site)

    A6. Total Inputs of Selected Byproduct Energy for Heat, Power, and" " Electricity Generation by Census Region, Census Division, Industry Group, and" " Selected Industries, 1994" " ...

  15. Regional Networks for Energy Efficiency

    Energy.gov [DOE]

    Better Buildings Neighborhood Program Sustainability Peer Exchange Call: Regional Networks for Energy Efficiency, call slides and discussion summary, December 6, 2012.

  16. Analysis of events with b-jets and a pair of leptons of the same charge in pp collisions at √s = 8 TeV with the ATLAS detector

    DOE PAGES [OSTI]

    Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Aben, R.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; Abreu, H.; Abreu, R.; et al

    2015-10-22

    An analysis is presented of events containing jets including at least one b -tagged jet, sizeable missing transverse momentum, and at least two leptons including a pair of the same electric charge, with the scalar sum of the jet and lepton transverse momenta being large. A data sample with an integrated luminosity of 20.3 fb–1 of pp collisions at √s = 8 TeV recorded by the ATLAS detector at the Large Hadron Collider is used. Standard Model processes rarely produce these final states, but there are several models of physics beyond the Standard Model that predict an enhanced rate ofmore » production of such events; the ones considered here are production of vector-like quarks, enhanced four-top-quark production, pair production of chiral b'-quarks, and production of two positively charged top quarks. Eleven signal regions are defined; subsets of these regions are combined when searching for each class of models. In the three signal regions primarily sensitive to positively charged top quark pair production, the data yield is consistent with the background expectation. There are more data events than expected from background in the set of eight signal regions defined for searching for vector-like quarks and chiral b'-quarks, but the significance of the discrepancy is less than two standard deviations. Furthermore, the discrepancy reaches 2.5 standard deviations in the set of five signal regions defined for searching for four-top-quark production. The results are used to set 95% CL limits on various models.« less

  17. Analysis of events with b-jets and a pair of leptons of the same charge in pp collisions at √s = 8 TeV with the ATLAS detector

    SciTech Connect

    Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Aben, R.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; Abreu, H.; Abreu, R.; Abulaiti, Y.; Acharya, B. S.; Adamczyk, L.; Adams, D. L.; Adelman, J.; Adomeit, S.; Adye, T.; Affolder, A. A.; Agatonovic-Jovin, T.; Aguilar-Saavedra, J. A.; Agustoni, M.; Ahlen, S. P.; Ahmadov, F.; Aielli, G.; Akerstedt, H.; Åkesson, T. P. A.; Akimoto, G.; Akimov, A. V.; Alberghi, G. L.; Albert, J.; Albrand, S.; Alconada Verzini, M. J.; Aleksa, M.; Aleksandrov, I. N.; Alexa, C.; Alexander, G.; Alexopoulos, T.; Alhroob, M.; Alimonti, G.; Alio, L.; Alison, J.; Alkire, S. P.; Allbrooke, B. M. M.; Allport, P. P.; Aloisio, A.; Alonso, A.; Alonso, F.; Alpigiani, C.; Altheimer, A.; Alvarez Gonzalez, B.; Álvarez Piqueras, D.; Alviggi, M. G.; Amako, K.; Amaral Coutinho, Y.; Amelung, C.; Amidei, D.; Amor Dos Santos, S. P.; Amorim, A.; Amoroso, S.; Amram, N.; Amundsen, G.; Anastopoulos, C.; Ancu, L. S.; Andari, N.; Andeen, T.; Anders, C. F.; Anders, G.; Anderson, K. J.; Andreazza, A.; Andrei, V.; Angelidakis, S.; Angelozzi, I.; Anger, P.; Angerami, A.; Anghinolfi, F.; Anisenkov, A. V.; Anjos, N.; Annovi, A.; Antonelli, M.; Antonov, A.; Antos, J.; Anulli, F.; Aoki, M.; Aperio Bella, L.; Arabidze, G.; Arai, Y.; Araque, J. P.; Arce, A. T. H.; Arduh, F. A.; Arguin, J-F.; Argyropoulos, S.; Arik, M.; Armbruster, A. J.; Arnaez, O.; Arnal, V.; Arnold, H.; Arratia, M.; Arslan, O.; Artamonov, A.; Artoni, G.; Asai, S.; Asbah, N.; Ashkenazi, A.; Åsman, B.; Asquith, L.; Assamagan, K.; Astalos, R.; Atkinson, M.; Atlay, N. B.; Auerbach, B.; Augsten, K.; Aurousseau, M.; Avolio, G.; Axen, B.; Ayoub, M. K.; Azuelos, G.; Baak, M. A.; Baas, A. E.; Bacci, C.; Bachacou, H.; Bachas, K.; Backes, M.; Backhaus, M.; Badescu, E.; Bagiacchi, P.; Bagnaia, P.; Bai, Y.; Bain, T.; Baines, J. T.; Baker, O. K.; Balek, P.; Balestri, T.; Balli, F.; Banas, E.; Banerjee, Sw.; Bannoura, A. A. E.; Bansil, H. S.; Barak, L.; Baranov, S. P.; Barberio, E. L.; Barberis, D.; Barbero, M.; Barillari, T.; Barisonzi, M.; Barklow, T.; Barlow, N.; Barnes, S. L.; Barnett, B. M.; Barnett, R. M.; Barnovska, Z.; Baroncelli, A.; Barone, G.; Barr, A. J.; Barreiro, F.; Barreiro Guimarães da Costa, J.; Bartoldus, R.; Barton, A. E.; Bartos, P.; Bassalat, A.; Basye, A.; Bates, R. L.; Batista, S. J.; Batley, J. R.; Battaglia, M.; Bauce, M.; Bauer, F.; Bawa, H. S.; Beacham, J. B.; Beattie, M. D.; Beau, T.; Beauchemin, P. H.; Beccherle, R.; Bechtle, P.; Beck, H. P.; Becker, K.; Becker, M.; Becker, S.; Beckingham, M.; Becot, C.; Beddall, A. J.; Beddall, A.; Bednyakov, V. A.; Bee, C. P.; Beemster, L. J.; Beermann, T. A.; Begel, M.; Behr, J. K.; Belanger-Champagne, C.; Bell, P. J.; Bell, W. H.; Bella, G.; Bellagamba, L.; Bellerive, A.; Bellomo, M.; Belotskiy, K.; Beltramello, O.; Benary, O.; Benchekroun, D.; Bender, M.; Bendtz, K.; Benekos, N.; Benhammou, Y.; Benhar Noccioli, E.; Benitez Garcia, J. A.; Benjamin, D. P.; Bensinger, J. R.; Bentvelsen, S.; Beresford, L.; Beretta, M.; Berge, D.; Bergeaas Kuutmann, E.; Berger, N.; Berghaus, F.; Beringer, J.; Bernard, C.; Bernard, N. R.; Bernius, C.; Bernlochner, F. U.; Berry, T.; Berta, P.; Bertella, C.; Bertoli, G.; Bertolucci, F.; Bertsche, C.; Bertsche, D.; Besana, M. I.; Besjes, G. J.; Bessidskaia Bylund, O.; Bessner, M.; Besson, N.; Betancourt, C.; Bethke, S.; Bevan, A. J.; Bhimji, W.; Bianchi, R. M.; Bianchini, L.; Bianco, M.; Biebel, O.; Bieniek, S. P.; Biglietti, M.; Bilbao De Mendizabal, J.; Bilokon, H.; Bindi, M.; Binet, S.; Bingul, A.; Bini, C.; Black, C. W.; Black, J. E.; Black, K. M.; Blackburn, D.; Blair, R. E.; Blanchard, J. -B.; Blanco, J. E.; Blazek, T.; Bloch, I.; Blocker, C.; Blum, W.; Blumenschein, U.; Bobbink, G. J.; Bobrovnikov, V. S.; Bocchetta, S. S.; Bocci, A.; Bock, C.; Boehler, M.; Bogaerts, J. A.; Bogdanchikov, A. G.; Bohm, C.; Boisvert, V.; Bold, T.; Boldea, V.; Boldyrev, A. S.; Bomben, M.; Bona, M.; Boonekamp, M.; Borisov, A.; Borissov, G.; Borroni, S.; Bortfeldt, J.; Bortolotto, V.; Bos, K.; Boscherini, D.; Bosman, M.; Boudreau, J.; Bouffard, J.; Bouhova-Thacker, E. V.; Boumediene, D.; Bourdarios, C.; Bousson, N.; Boutouil, S.; Boveia, A.; Boyd, J.; Boyko, I. R.; Bozic, I.; Bracinik, J.; Brandt, A.; Brandt, G.; Brandt, O.; Bratzler, U.; Brau, B.; Brau, J. E.; Braun, H. M.; Brazzale, S. F.; Brendlinger, K.; Brennan, A. J.; Brenner, L.; Brenner, R.; Bressler, S.; Bristow, K.; Bristow, T. M.; Britton, D.; Britzger, D.; Brochu, F. M.; Brock, I.; Brock, R.; Bronner, J.; Brooijmans, G.; Brooks, T.; Brooks, W. K.; Brosamer, J.; Brost, E.; Brown, J.; Bruckman de Renstrom, P. A.; Bruncko, D.; Bruneliere, R.; Bruni, A.; Bruni, G.; Bruschi, M.; Bryngemark, L.; Buanes, T.; Buat, Q.; Buchholz, P.; Buckley, A. G.; Buda, S. I.; Budagov, I. A.; Buehrer, F.; Bugge, L.; Bugge, M. K.; Bulekov, O.; Burckhart, H.; Burdin, S.; Burghgrave, B.; Burke, S.; Burmeister, I.; Busato, E.; Büscher, D.; Büscher, V.; Bussey, P.; Buszello, C. P.; Butler, J. M.; Butt, A. I.; Buttar, C. M.; Butterworth, J. M.; Butti, P.; Buttinger, W.; Buzatu, A.; Buzykaev, R.; Cabrera Urbán, S.; Caforio, D.; Cakir, O.; Calafiura, P.; Calandri, A.; Calderini, G.; Calfayan, P.; Caloba, L. P.; Calvet, D.; Calvet, S.; Camacho Toro, R.; Camarda, S.; Cameron, D.; Caminada, L. M.; Caminal Armadans, R.; Campana, S.; Campanelli, M.; Campoverde, A.; Canale, V.; Canepa, A.; Cano Bret, M.; Cantero, J.; Cantrill, R.; Cao, T.; Capeans Garrido, M. D. M.; Caprini, I.; Caprini, M.; Capua, M.; Caputo, R.; Cardarelli, R.; Carli, T.; Carlino, G.; Carminati, L.; Caron, S.; Carquin, E.; Carrillo-Montoya, G. D.; Carter, J. R.; Carvalho, J.; Casadei, D.; Casado, M. P.; Casolino, M.; Castaneda-Miranda, E.; Castelli, A.; Castillo Gimenez, V.; Castro, N. F.; Catastini, P.; Catinaccio, A.; Catmore, J. R.; Cattai, A.; Caudron, J.; Cavaliere, V.; Cavalli, D.; Cavalli-Sforza, M.; Cavasinni, V.; Ceradini, F.; Cerio, B. C.; Cerny, K.; Cerqueira, A. S.; Cerri, A.; Cerrito, L.; Cerutti, F.; Cerv, M.; Cervelli, A.; Cetin, S. A.; Chafaq, A.; Chakraborty, D.; Chalupkova, I.; Chang, P.; Chapleau, B.; Chapman, J. D.; Charlton, D. G.; Chau, C. C.; Chavez Barajas, C. A.; Cheatham, S.; Chegwidden, A.; Chekanov, S.; Chekulaev, S. V.; Chelkov, G. A.; Chelstowska, M. A.; Chen, C.; Chen, H.; Chen, K.; Chen, L.; Chen, S.; Chen, X.; Chen, Y.; Cheng, H. C.; Cheng, Y.; Cheplakov, A.; Cheremushkina, E.; Cherkaoui El Moursli, R.; Chernyatin, V.; Cheu, E.; Chevalier, L.; Chiarella, V.; Childers, J. T.; Chiodini, G.; Chisholm, A. S.; Chislett, R. T.; Chitan, A.; Chizhov, M. V.; Choi, K.; Chouridou, S.; Chow, B. K. B.; Christodoulou, V.; Chromek-Burckhart, D.; Chu, M. L.; Chudoba, J.; Chuinard, A. J.; Chwastowski, J. J.; Chytka, L.; Ciapetti, G.; Ciftci, A. K.; Cinca, D.; Cindro, V.; Cioara, I. A.; Ciocio, A.; Citron, Z. H.; Ciubancan, M.; Clark, A.; Clark, B. L.; Clark, P. J.; Clarke, R. N.; Cleland, W.; Clement, C.; Coadou, Y.; Cobal, M.; Coccaro, A.; Cochran, J.; Coffey, L.; Cogan, J. G.; Cole, B.; Cole, S.; Colijn, A. P.; Collot, J.; Colombo, T.; Compostella, G.; Conde Muiño, P.; Coniavitis, E.; Connell, S. H.; Connelly, I. A.; Consonni, S. M.; Consorti, V.; Constantinescu, S.; Conta, C.; Conti, G.; Conventi, F.; Cooke, M.; Cooper, B. D.; Cooper-Sarkar, A. M.; Copic, K.; Cornelissen, T.; Corradi, M.; Corriveau, F.; Corso-Radu, A.; Cortes-Gonzalez, A.; Cortiana, G.; Costa, G.; Costa, M. J.; Costanzo, D.; Côté, D.; Cottin, G.; Cowan, G.; Cox, B. E.; Cranmer, K.; Cree, G.; Crépé-Renaudin, S.; Crescioli, F.; Cribbs, W. A.; Crispin Ortuzar, M.; Cristinziani, M.; Croft, V.; Crosetti, G.; Cuhadar Donszelmann, T.; Cummings, J.; Curatolo, M.; Cuthbert, C.; Czirr, H.; Czodrowski, P.; D’Auria, S.; D’Onofrio, M.; Da Cunha Sargedas De Sousa, M. J.; Da Via, C.; Dabrowski, W.; Dafinca, A.; Dai, T.; Dale, O.; Dallaire, F.; Dallapiccola, C.; Dam, M.; Dandoy, J. R.; Daniells, A. C.; Danninger, M.; Dano Hoffmann, M.; Dao, V.; Darbo, G.; Darmora, S.; Dassoulas, J.; Dattagupta, A.; Davey, W.; David, C.; Davidek, T.; Davies, E.; Davies, M.; Davison, P.; Davygora, Y.; Dawe, E.; Dawson, I.; Daya-Ishmukhametova, R. K.; De, K.; de Asmundis, R.; De Castro, S.; De Cecco, S.; De Groot, N.; de Jong, P.; De la Torre, H.; De Lorenzi, F.; De Nooij, L.; De Pedis, D.; De Salvo, A.; De Sanctis, U.; De Santo, A.; De Vivie De Regie, J. B.; Dearnaley, W. J.; Debbe, R.; Debenedetti, C.; Dedovich, D. V.; Deigaard, I.; Del Peso, J.; Del Prete, T.; Delgove, D.; Deliot, F.; Delitzsch, C. M.; Deliyergiyev, M.; Dell’Acqua, A.; Dell’Asta, L.; Dell’Orso, M.; Della Pietra, M.; della Volpe, D.; Delmastro, M.; Delsart, P. A.; Deluca, C.; DeMarco, D. A.; Demers, S.; Demichev, M.; Demilly, A.; Denisov, S. P.; Derendarz, D.; Derkaoui, J. E.; Derue, F.; Dervan, P.; Desch, K.; Deterre, C.; Deviveiros, P. O.; Dewhurst, A.; Dhaliwal, S.; Di Ciaccio, A.; Di Ciaccio, L.; Di Domenico, A.; Di Donato, C.; Di Girolamo, A.; Di Girolamo, B.; Di Mattia, A.; Di Micco, B.; Di Nardo, R.; Di Simone, A.; Di Sipio, R.; Di Valentino, D.; Diaconu, C.; Diamond, M.; Dias, F. A.; Diaz, M. A.; Diehl, E. B.; Dietrich, J.; Diglio, S.; Dimitrievska, A.; Dingfelder, J.; Dittus, F.; Djama, F.; Djobava, T.; Djuvsland, J. I.; do Vale, M. A. B.; Dobos, D.; Dobre, M.; Doglioni, C.; Dohmae, T.; Dolejsi, J.; Dolezal, Z.; Dolgoshein, B. A.; Donadelli, M.; Donati, S.; Dondero, P.; Donini, J.; Dopke, J.; Doria, A.; Dova, M. T.; Doyle, A. T.; Drechsler, E.; Dris, M.; Dubreuil, E.; Duchovni, E.; Duckeck, G.; Ducu, O. A.; Duda, D.; Dudarev, A.; Duflot, L.; Duguid, L.; Dührssen, M.; Dunford, M.; Duran Yildiz, H.; Düren, M.; Durglishvili, A.; Duschinger, D.; Dwuznik, M.; Dyndal, M.; Eckardt, C.; Ecker, K. M.; Edson, W.; Edwards, N. C.; Ehrenfeld, W.; Eifert, T.; Eigen, G.; Einsweiler, K.; Ekelof, T.; El Kacimi, M.; Ellert, M.; Elles, S.; Ellinghaus, F.; Elliot, A. A.; Ellis, N.; Elmsheuser, J.; Elsing, M.; Emeliyanov, D.; Enari, Y.; Endner, O. C.; Endo, M.; Engelmann, R.; Erdmann, J.; Ereditato, A.; Ernis, G.; Ernst, J.; Ernst, M.; Errede, S.; Ertel, E.; Escalier, M.; Esch, H.; Escobar, C.; Esposito, B.; Etienvre, A. I.; Etzion, E.; Evans, H.; Ezhilov, A.; Fabbri, L.; Facini, G.; Fakhrutdinov, R. M.; Falciano, S.; Falla, R. J.; Faltova, J.; Fang, Y.; Fanti, M.; Farbin, A.; Farilla, A.; Farooque, T.; Farrell, S.; Farrington, S. M.; Farthouat, P.; Fassi, F.; Fassnacht, P.; Fassouliotis, D.; Favareto, A.; Fayard, L.; Federic, P.; Fedin, O. L.; Fedorko, W.; Feigl, S.; Feligioni, L.; Feng, C.; Feng, E. J.; Feng, H.; Fenyuk, A. B.; Fernandez Martinez, P.; Fernandez Perez, S.; Ferrag, S.; Ferrando, J.; Ferrari, A.; Ferrari, P.; Ferrari, R.; Ferreira de Lima, D. E.; Ferrer, A.; Ferrere, D.; Ferretti, C.; Ferretto Parodi, A.; Fiascaris, M.; Fiedler, F.; Filipčič, A.; Filipuzzi, M.; Filthaut, F.; Fincke-Keeler, M.; Finelli, K. D.; Fiolhais, M. C. N.; Fiorini, L.; Firan, A.; Fischer, A.; Fischer, C.; Fischer, J.; Fisher, W. C.; Fitzgerald, E. A.; Flechl, M.; Fleck, I.; Fleischmann, P.; Fleischmann, S.; Fletcher, G. T.; Fletcher, G.; Flick, T.; Floderus, A.; Flores Castillo, L. R.; Flowerdew, M. J.; Formica, A.; Forti, A.; Fournier, D.; Fox, H.; Fracchia, S.; Francavilla, P.; Franchini, M.; Francis, D.; Franconi, L.; Franklin, M.; Fraternali, M.; Freeborn, D.; French, S. T.; Friedrich, F.; Froidevaux, D.; Frost, J. A.; Fukunaga, C.; Fullana Torregrosa, E.; Fulsom, B. G.; Fuster, J.; Gabaldon, C.; Gabizon, O.; Gabrielli, A.; Gabrielli, A.; Gadatsch, S.; Gadomski, S.; Gagliardi, G.; Gagnon, P.; Galea, C.; Galhardo, B.; Gallas, E. J.; Gallop, B. J.; Gallus, P.; Galster, G.; Gan, K. K.; Gao, J.; Gao, Y.; Gao, Y. S.; Garay Walls, F. M.; Garberson, F.; García, C.; García Navarro, J. E.; Garcia-Sciveres, M.; Gardner, R. W.; Garelli, N.; Garonne, V.; Gatti, C.; Gaudiello, A.; Gaudio, G.; Gaur, B.; Gauthier, L.; Gauzzi, P.; Gavrilenko, I. L.; Gay, C.; Gaycken, G.; Gazis, E. N.; Ge, P.; Gecse, Z.; Gee, C. N. P.; Geerts, D. A. A.; Geich-Gimbel, Ch.; Geisler, M. P.; Gemme, C.; Genest, M. H.; Gentile, S.; George, M.; George, S.; Gerbaudo, D.; Gershon, A.; Ghazlane, H.; Ghodbane, N.; Giacobbe, B.; Giagu, S.; Giangiobbe, V.; Giannetti, P.; Gibbard, B.; Gibson, S. M.; Gilchriese, M.; Gillam, T. P. S.; Gillberg, D.; Gilles, G.; Gingrich, D. M.; Giokaris, N.; Giordani, M. P.; Giorgi, F. M.; Giorgi, F. M.; Giraud, P. F.; Giromini, P.; Giugni, D.; Giuliani, C.; Giulini, M.; Gjelsten, B. K.; Gkaitatzis, S.; Gkialas, I.; Gkougkousis, E. L.; Gladilin, L. K.; Glasman, C.; Glatzer, J.; Glaysher, P. C. F.; Glazov, A.; Goblirsch-Kolb, M.; Goddard, J. R.; Godlewski, J.; Goldfarb, S.; Golling, T.; Golubkov, D.; Gomes, A.; Gonçalo, R.; Goncalves Pinto Firmino Da Costa, J.; Gonella, L.; González de la Hoz, S.; Gonzalez Parra, G.; Gonzalez-Sevilla, S.; Goossens, L.; Gorbounov, P. A.; Gordon, H. A.; Gorelov, I.; Gorini, B.; Gorini, E.; Gorišek, A.; Gornicki, E.; Goshaw, A. T.; Gössling, C.; Gostkin, M. I.; Goujdami, D.; Goussiou, A. G.; Govender, N.; Grabas, H. M. X.; Graber, L.; Grabowska-Bold, I.; Grafström, P.; Grahn, K-J.; Gramling, J.; Gramstad, E.; Grancagnolo, S.; Grassi, V.; Gratchev, V.; Gray, H. M.; Graziani, E.; Greenwood, Z. D.; Gregersen, K.; Gregor, I. M.; Grenier, P.; Griffiths, J.; Grillo, A. A.; Grimm, K.; Grinstein, S.; Gris, Ph.; Grivaz, J. -F.; Grohs, J. P.; Grohsjean, A.; Gross, E.; Grosse-Knetter, J.; Grossi, G. C.; Grout, Z. J.; Guan, L.; Guenther, J.; Guescini, F.; Guest, D.; Gueta, O.; Guido, E.; Guillemin, T.; Guindon, S.; Gul, U.; Gumpert, C.; Guo, J.; Gupta, S.; Gutierrez, P.; Gutierrez Ortiz, N. G.; Gutschow, C.; Guyot, C.; Gwenlan, C.; Gwilliam, C. B.; Haas, A.; Haber, C.; Hadavand, H. K.; Haddad, N.; Haefner, P.; Hageböck, S.; Hajduk, Z.; Hakobyan, H.; Haleem, M.; Haley, J.; Hall, D.; Halladjian, G.; Hallewell, G. D.; Hamacher, K.; Hamal, P.; Hamano, K.; Hamer, M.; Hamilton, A.; Hamilton, S.; Hamity, G. N.; Hamnett, P. G.; Han, L.; Hanagaki, K.; Hanawa, K.; Hance, M.; Hanke, P.; Hanna, R.; Hansen, J. B.; Hansen, J. D.; Hansen, M. C.; Hansen, P. H.; Hara, K.; Hard, A. S.; Harenberg, T.; Hariri, F.; Harkusha, S.; Harrington, R. D.; Harrison, P. F.; Hartjes, F.; Hasegawa, M.; Hasegawa, S.; Hasegawa, Y.; Hasib, A.; Hassani, S.; Haug, S.; Hauser, R.; Hauswald, L.; Havranek, M.; Hawkes, C. M.; Hawkings, R. J.; Hawkins, A. D.; Hayashi, T.; Hayden, D.; Hays, C. P.; Hays, J. M.; Hayward, H. S.; Haywood, S. J.; Head, S. 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L.; Reznicek, P.; Rezvani, R.; Richter, R.; Richter, S.; Richter-Was, E.; Ricken, O.; Ridel, M.; Rieck, P.; Riegel, C. J.; Rieger, J.; Rijssenbeek, M.; Rimoldi, A.; Rinaldi, L.; Ristić, B.; Ritsch, E.; Riu, I.; Rizatdinova, F.; Rizvi, E.; Robertson, S. H.; Robichaud-Veronneau, A.; Robinson, D.; Robinson, J. E. M.; Robson, A.; Roda, C.; Roe, S.; Røhne, O.; Rolli, S.; Romaniouk, A.; Romano, M.; Romano Saez, S. M.; Romero Adam, E.; Rompotis, N.; Ronzani, M.; Roos, L.; Ros, E.; Rosati, S.; Rosbach, K.; Rose, P.; Rosendahl, P. L.; Rosenthal, O.; Rossetti, V.; Rossi, E.; Rossi, L. P.; Rosten, R.; Rotaru, M.; Roth, I.; Rothberg, J.; Rousseau, D.; Royon, C. R.; Rozanov, A.; Rozen, Y.; Ruan, X.; Rubbo, F.; Rubinskiy, I.; Rud, V. I.; Rudolph, C.; Rudolph, M. S.; Rühr, F.; Ruiz-Martinez, A.; Rurikova, Z.; Rusakovich, N. A.; Ruschke, A.; Russell, H. L.; Rutherfoord, J. P.; Ruthmann, N.; Ryabov, Y. F.; Rybar, M.; Rybkin, G.; Ryder, N. C.; Saavedra, A. F.; Sabato, G.; Sacerdoti, S.; Saddique, A.; Sadrozinski, H. F-W.; Sadykov, R.; Safai Tehrani, F.; Saimpert, M.; Sakamoto, H.; Sakurai, Y.; Salamanna, G.; Salamon, A.; Saleem, M.; Salek, D.; Sales De Bruin, P. H.; Salihagic, D.; Salnikov, A.; Salt, J.; Salvatore, D.; Salvatore, F.; Salvucci, A.; Salzburger, A.; Sampsonidis, D.; Sanchez, A.; Sánchez, J.; Sanchez Martinez, V.; Sandaker, H.; Sandbach, R. L.; Sander, H. G.; Sanders, M. P.; Sandhoff, M.; Sandoval, C.; Sandstroem, R.; Sankey, D. P. C.; Sannino, M.; Sansoni, A.; Santoni, C.; Santonico, R.; Santos, H.; Santoyo Castillo, I.; Sapp, K.; Sapronov, A.; Saraiva, J. G.; Sarrazin, B.; Sasaki, O.; Sasaki, Y.; Sato, K.; Sauvage, G.; Sauvan, E.; Savage, G.; Savard, P.; Sawyer, C.; Sawyer, L.; Saxon, J.; Sbarra, C.; Sbrizzi, A.; Scanlon, T.; Scannicchio, D. A.; Scarcella, M.; Scarfone, V.; Schaarschmidt, J.; Schacht, P.; Schaefer, D.; Schaefer, R.; Schaeffer, J.; Schaepe, S.; Schaetzel, S.; Schäfer, U.; Schaffer, A. C.; Schaile, D.; Schamberger, R. D.; Scharf, V.; Schegelsky, V. A.; Scheirich, D.; Schernau, M.; Schiavi, C.; Schillo, C.; Schioppa, M.; Schlenker, S.; Schmidt, E.; Schmieden, K.; Schmitt, C.; Schmitt, S.; Schmitt, S.; Schneider, B.; Schnellbach, Y. J.; Schnoor, U.; Schoeffel, L.; Schoening, A.; Schoenrock, B. D.; Schopf, E.; Schorlemmer, A. L. S.; Schott, M.; Schouten, D.; Schovancova, J.; Schramm, S.; Schreyer, M.; Schroeder, C.; Schuh, N.; Schultens, M. J.; Schultz-Coulon, H. -C.; Schulz, H.; Schumacher, M.; Schumm, B. A.; Schune, Ph.; Schwanenberger, C.; Schwartzman, A.; Schwarz, T. A.; Schwegler, Ph.; Schwemling, Ph.; Schwienhorst, R.; Schwindling, J.; Schwindt, T.; Schwoerer, M.; Sciacca, F. G.; Scifo, E.; Sciolla, G.; Scuri, F.; Scutti, F.; Searcy, J.; Sedov, G.; Sedykh, E.; Seema, P.; Seidel, S. C.; Seiden, A.; Seifert, F.; Seixas, J. M.; Sekhniaidze, G.; Sekula, S. J.; Selbach, K. E.; Seliverstov, D. M.; Semprini-Cesari, N.; Serfon, C.; Serin, L.; Serkin, L.; Serre, T.; Seuster, R.; Severini, H.; Sfiligoj, T.; Sforza, F.; Sfyrla, A.; Shabalina, E.; Shamim, M.; Shan, L. Y.; Shang, R.; Shank, J. T.; Shapiro, M.; Shatalov, P. B.; Shaw, K.; Shaw, S. M.; Shcherbakova, A.; Shehu, C. Y.; Sherwood, P.; Shi, L.; Shimizu, S.; Shimmin, C. O.; Shimojima, M.; Shiyakova, M.; Shmeleva, A.; Shoaleh Saadi, D.; Shochet, M. J.; Shojaii, S.; Shrestha, S.; Shulga, E.; Shupe, M. A.; Shushkevich, S.; Sicho, P.; Sidiropoulou, O.; Sidorov, D.; Sidoti, A.; Siegert, F.; Sijacki, Dj.; Silva, J.; Silver, Y.; Silverstein, S. B.; Simak, V.; Simard, O.; Simic, Lj.; Simion, S.; Simioni, E.; Simmons, B.; Simon, D.; Simoniello, R.; Sinervo, P.; Sinev, N. B.; Siragusa, G.; Sisakyan, A. N.; Sivoklokov, S. Yu.; Sjölin, J.; Sjursen, T. B.; Skinner, M. B.; Skottowe, H. P.; Skubic, P.; Slater, M.; Slavicek, T.; Slawinska, M.; Sliwa, K.; Smakhtin, V.; Smart, B. H.; Smestad, L.; Smirnov, S. Yu.; Smirnov, Y.; Smirnova, L. N.; Smirnova, O.; Smith, M. N. K.; Smizanska, M.; Smolek, K.; Snesarev, A. A.; Snidero, G.; Snyder, S.; Sobie, R.; Socher, F.; Soffer, A.; Soh, D. A.; Solans, C. A.; Solar, M.; Solc, J.; Soldatov, E. Yu.; Soldevila, U.; Solodkov, A. A.; Soloshenko, A.; Solovyanov, O. V.; Solovyev, V.; Sommer, P.; Song, H. Y.; Soni, N.; Sood, A.; Sopczak, A.; Sopko, B.; Sopko, V.; Sorin, V.; Sosa, D.; Sosebee, M.; Sotiropoulou, C. L.; Soualah, R.; Soueid, P.; Soukharev, A. M.; South, D.; Spagnolo, S.; Spalla, M.; Spanò, F.; Spearman, W. R.; Sperlich, D.; Spettel, F.; Spighi, R.; Spigo, G.; Spiller, L. A.; Spousta, M.; Spreitzer, T.; St. Denis, R. D.; Staerz, S.; Stahlman, J.; Stamen, R.; Stamm, S.; Stanecka, E.; Stanescu, C.; Stanescu-Bellu, M.; Stanitzki, M. M.; Stapnes, S.; Starchenko, E. A.; Stark, J.; Staroba, P.; Starovoitov, P.; Staszewski, R.; Stavina, P.; Steinberg, P.; Stelzer, B.; Stelzer, H. J.; Stelzer-Chilton, O.; Stenzel, H.; Stern, S.; Stewart, G. A.; Stillings, J. A.; Stockton, M. C.; Stoebe, M.; Stoicea, G.; Stolte, P.; Stonjek, S.; Stradling, A. R.; Straessner, A.; Stramaglia, M. E.; Strandberg, J.; Strandberg, S.; Strandlie, A.; Strauss, E.; Strauss, M.; Strizenec, P.; Ströhmer, R.; Strom, D. M.; Stroynowski, R.; Strubig, A.; Stucci, S. A.; Stugu, B.; Styles, N. A.; Su, D.; Su, J.; Subramaniam, R.; Succurro, A.; Sugaya, Y.; Suhr, C.; Suk, M.; Sulin, V. V.; Sultansoy, S.; Sumida, T.; Sun, S.; Sun, X.; Sundermann, J. E.; Suruliz, K.; Susinno, G.; Sutton, M. R.; Suzuki, S.; Suzuki, Y.; Svatos, M.; Swedish, S.; Swiatlowski, M.; Sykora, I.; Sykora, T.; Ta, D.; Taccini, C.; Tackmann, K.; Taenzer, J.; Taffard, A.; Tafirout, R.; Taiblum, N.; Takai, H.; Takashima, R.; Takeda, H.; Takeshita, T.; Takubo, Y.; Talby, M.; Talyshev, A. A.; Tam, J. Y. C.; Tan, K. G.; Tanaka, J.; Tanaka, R.; Tanaka, S.; Tanaka, S.; Tannenwald, B. B.; Tannoury, N.; Tapprogge, S.; Tarem, S.; Tarrade, F.; Tartarelli, G. F.; Tas, P.; Tasevsky, M.; Tashiro, T.; Tassi, E.; Tavares Delgado, A.; Tayalati, Y.; Taylor, F. E.; Taylor, G. N.; Taylor, W.; Teischinger, F. A.; Teixeira Dias Castanheira, M.; Teixeira-Dias, P.; Temming, K. K.; Ten Kate, H.; Teng, P. K.; Teoh, J. J.; Tepel, F.; Terada, S.; Terashi, K.; Terron, J.; Terzo, S.; Testa, M.; Teuscher, R. J.; Therhaag, J.; Theveneaux-Pelzer, T.; Thomas, J. P.; Thomas-Wilsker, J.; Thompson, E. N.; Thompson, P. D.; Thompson, R. J.; Thompson, A. S.; Thomsen, L. A.; Thomson, E.; Thomson, M.; Thun, R. P.; Tibbetts, M. J.; Ticse Torres, R. E.; Tikhomirov, V. O.; Tikhonov, Yu. A.; Timoshenko, S.; Tiouchichine, E.; Tipton, P.; Tisserant, S.; Todorov, T.; Todorova-Nova, S.; Tojo, J.; Tokár, S.; Tokushuku, K.; Tollefson, K.; Tolley, E.; Tomlinson, L.; Tomoto, M.; Tompkins, L.; Toms, K.; Torrence, E.; Torres, H.; Torró Pastor, E.; Toth, J.; Touchard, F.; Tovey, D. R.; Trefzger, T.; Tremblet, L.; Tricoli, A.; Trigger, I. M.; Trincaz-Duvoid, S.; Tripiana, M. F.; Trischuk, W.; Trocmé, B.; Troncon, C.; Trottier-McDonald, M.; Trovatelli, M.; True, P.; Trzebinski, M.; Trzupek, A.; Tsarouchas, C.; Tseng, J. C-L.; Tsiareshka, P. V.; Tsionou, D.; Tsipolitis, G.; Tsirintanis, N.; Tsiskaridze, S.; Tsiskaridze, V.; Tskhadadze, E. G.; Tsukerman, I. I.; Tsulaia, V.; Tsuno, S.; Tsybychev, D.; Tudorache, A.; Tudorache, V.; Tuna, A. N.; Tupputi, S. A.; Turchikhin, S.; Turecek, D.; Turra, R.; Turvey, A. J.; Tuts, P. M.; Tykhonov, A.; Tylmad, M.; Tyndel, M.; Ueda, I.; Ueno, R.; Ughetto, M.; Ugland, M.; Uhlenbrock, M.; Ukegawa, F.; Unal, G.; Undrus, A.; Unel, G.; Ungaro, F. C.; Unno, Y.; Unverdorben, C.; Urban, J.; Urquijo, P.; Urrejola, P.; Usai, G.; Usanova, A.; Vacavant, L.; Vacek, V.; Vachon, B.; Valderanis, C.; Valencic, N.; Valentinetti, S.; Valero, A.; Valery, L.; Valkar, S.; Valladolid Gallego, E.; Vallecorsa, S.; Valls Ferrer, J. A.; Van Den Wollenberg, W.; Van Der Deijl, P. C.; van der Geer, R.; van der Graaf, H.; Van Der Leeuw, R.; van Eldik, N.; van Gemmeren, P.; Van Nieuwkoop, J.; van Vulpen, I.; van Woerden, M. C.; Vanadia, M.; Vandelli, W.; Vanguri, R.; Vaniachine, A.; Vannucci, F.; Vardanyan, G.; Vari, R.; Varnes, E. W.; Varol, T.; Varouchas, D.; Vartapetian, A.; Varvell, K. E.; Vazeille, F.; Vazquez Schroeder, T.; Veatch, J.; Veloso, F.; Velz, T.; Veneziano, S.; Ventura, A.; Ventura, D.; Venturi, M.; Venturi, N.; Venturini, A.; Vercesi, V.; Verducci, M.; Verkerke, W.; Vermeulen, J. C.; Vest, A.; Vetterli, M. C.; Viazlo, O.; Vichou, I.; Vickey, T.; Vickey Boeriu, O. E.; Viehhauser, G. H. A.; Viel, S.; Vigne, R.; Villa, M.; Villaplana Perez, M.; Vilucchi, E.; Vincter, M. G.; Vinogradov, V. B.; Vivarelli, I.; Vives Vaque, F.; Vlachos, S.; Vladoiu, D.; Vlasak, M.; Vogel, M.; Vokac, P.; Volpi, G.; Volpi, M.; von der Schmitt, H.; von Radziewski, H.; von Toerne, E.; Vorobel, V.; Vorobev, K.; Vos, M.; Voss, R.; Vossebeld, J. H.; Vranjes, N.; Vranjes Milosavljevic, M.; Vrba, V.; Vreeswijk, M.; Vuillermet, R.; Vukotic, I.; Vykydal, Z.; Wagner, P.; Wagner, W.; Wahlberg, H.; Wahrmund, S.; Wakabayashi, J.; Walder, J.; Walker, R.; Walkowiak, W.; Wang, C.; Wang, F.; Wang, H.; Wang, H.; Wang, J.; Wang, J.; Wang, K.; Wang, R.; Wang, S. M.; Wang, T.; Wang, X.; Wanotayaroj, C.; Warburton, A.; Ward, C. P.; Wardrope, D. R.; Warsinsky, M.; Washbrook, A.; Wasicki, C.; Watkins, P. M.; Watson, A. T.; Watson, I. J.; Watson, M. F.; Watts, G.; Watts, S.; Waugh, B. M.; Webb, S.; Weber, M. S.; Weber, S. W.; Webster, J. S.; Weidberg, A. R.; Weinert, B.; Weingarten, J.; Weiser, C.; Weits, H.; Wells, P. S.; Wenaus, T.; Wengler, T.; Wenig, S.; Wermes, N.; Werner, M.; Werner, P.; Wessels, M.; Wetter, J.; Whalen, K.; Wharton, A. M.; White, A.; White, M. J.; White, R.; White, S.; Whiteson, D.; Wickens, F. J.; Wiedenmann, W.; Wielers, M.; Wienemann, P.; Wiglesworth, C.; Wiik-Fuchs, L. A. M.; Wildauer, A.; Wilkens, H. G.; Williams, H. H.; Williams, S.; Willis, C.; Willocq, S.; Wilson, A.; Wilson, J. A.; Wingerter-Seez, I.; Winklmeier, F.; Winter, B. T.; Wittgen, M.; Wittkowski, J.; Wollstadt, S. J.; Wolter, M. W.; Wolters, H.; Wosiek, B. K.; Wotschack, J.; Woudstra, M. J.; Wozniak, K. W.; Wu, M.; Wu, M.; Wu, S. L.; Wu, X.; Wu, Y.; Wyatt, T. R.; Wynne, B. M.; Xella, S.; Xu, D.; Xu, L.; Yabsley, B.; Yacoob, S.; Yakabe, R.; Yamada, M.; Yamaguchi, Y.; Yamamoto, A.; Yamamoto, S.; Yamanaka, T.; Yamauchi, K.; Yamazaki, Y.; Yan, Z.; Yang, H.; Yang, H.; Yang, Y.; Yao, L.; Yao, W-M.; Yasu, Y.; Yatsenko, E.; Yau Wong, K. H.; Ye, J.; Ye, S.; Yeletskikh, I.; Yen, A. L.; Yildirim, E.; Yorita, K.; Yoshida, R.; Yoshihara, K.; Young, C.; Young, C. J. S.; Youssef, S.; Yu, D. R.; Yu, J.; Yu, J. M.; Yu, J.; Yuan, L.; Yurkewicz, A.; Yusuff, I.; Zabinski, B.; Zaidan, R.; Zaitsev, A. M.; Zalieckas, J.; Zaman, A.; Zambito, S.; Zanello, L.; Zanzi, D.; Zeitnitz, C.; Zeman, M.; Zemla, A.; Zengel, K.; Zenin, O.; Ženiš, T.; Zerwas, D.; Zhang, D.; Zhang, F.; Zhang, J.; Zhang, L.; Zhang, R.; Zhang, X.; Zhang, Z.; Zhao, X.; Zhao, Y.; Zhao, Z.; Zhemchugov, A.; Zhong, J.; Zhou, B.; Zhou, C.; Zhou, L.; Zhou, L.; Zhou, N.; Zhu, C. G.; Zhu, H.; Zhu, J.; Zhu, Y.; Zhuang, X.; Zhukov, K.; Zibell, A.; Zieminska, D.; Zimine, N. I.; Zimmermann, C.; Zimmermann, R.; Zimmermann, S.; Zinonos, Z.; Zinser, M.; Ziolkowski, M.; Živković, L.; Zobernig, G.; Zoccoli, A.; zur Nedden, M.; Zurzolo, G.; Zwalinski, L.

    2015-10-22

    An analysis is presented of events containing jets including at least one b -tagged jet, sizeable missing transverse momentum, and at least two leptons including a pair of the same electric charge, with the scalar sum of the jet and lepton transverse momenta being large. A data sample with an integrated luminosity of 20.3 fb–1 of pp collisions at √s = 8 TeV recorded by the ATLAS detector at the Large Hadron Collider is used. Standard Model processes rarely produce these final states, but there are several models of physics beyond the Standard Model that predict an enhanced rate of production of such events; the ones considered here are production of vector-like quarks, enhanced four-top-quark production, pair production of chiral b'-quarks, and production of two positively charged top quarks. Eleven signal regions are defined; subsets of these regions are combined when searching for each class of models. In the three signal regions primarily sensitive to positively charged top quark pair production, the data yield is consistent with the background expectation. There are more data events than expected from background in the set of eight signal regions defined for searching for vector-like quarks and chiral b'-quarks, but the significance of the discrepancy is less than two standard deviations. Furthermore, the discrepancy reaches 2.5 standard deviations in the set of five signal regions defined for searching for four-top-quark production. The results are used to set 95% CL limits on various models.

  18. USDA Regional Conservation Partnership Program

    Energy.gov [DOE]

    The U.S. Department of Agriculture is accepting applications for the Regional Conservation Partnership Program to identify and address natural resource objectives in balance with operational goals in order to benefit soil, water, wildlife, and related natural resources locally, regionally, and nationally.

  19. EWONAP Training and Regional Meeting

    Energy.gov [DOE]

    The Native Learning Center is pleased to announce the 2016 Eastern Woodlands ONAP Training and Regional Meeting taking place in our newly renovated training facility in Hollywood, FL. This three-day interactive training is designed to address Tribal Housing needs identified throughout the Eastern Woodlands region.

  20. Probing lepton flavour violation via neutrinoless $${\\tau \\longrightarrow 3\\mu }$$ τ → 3 μ decays with the ATLAS detector

    DOE PAGES [OSTI]

    Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Aben, R.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; Abreu, H.; Abreu, R.; et al

    2016-04-26

    This article presents the sensitivity of the ATLAS experiment to the lepton-flavour-violating decays of τ→3μ. A method utilising the production of τ leptons via W→τν decays is used. This method is applied to the sample of 20.3 fb-1 of pp collision data at a centre-of-mass energy of 8 TeV collected by the ATLAS experiment at the LHC in 2012. No event is observed passing the selection criteria, and the observed (expected) upper limit on the τ lepton branching fraction into three muons, Br(τ→3μ), is 3.76×10-7 (3.94×10-7 ) at 90 % confidence level.

  1. Search for lepton-flavour-violating H → μτ decays of the Higgs boson with the ATLAS detector

    DOE PAGES [OSTI]

    Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Aben, R.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; Abreu, H.; Abreu, R.; et al

    2015-11-30

    A direct search for lepton-flavour-violating H → μτ decays of the recently discovered Higgs boson with the ATLAS detector at the LHC is presented. The analysis is performed in the H → μτ had channel, where τ had is a hadronically decaying τ -lepton. The search is based on the data sample of proton-proton collisions collected by the ATLAS experiment corresponding to an integrated luminosity of 20.3 fb–1 at a centre-of-mass energy of √s = 8 TeV. No statistically significant excess of data over the predicted background is observed. As a result, the observed (expected) 95% confidence-level upper limit onmore » the branching fraction, Br( H → μτ ), is 1.85% (1.24%).« less

  2. Search for lepton-flavour-violating H → μτ decays of the Higgs boson with the ATLAS detector

    SciTech Connect

    Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Aben, R.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; Abreu, H.; Abreu, R.; Abulaiti, Y.; Acharya, B. S.; Adamczyk, L.; Adams, D. L.; Adelman, J.; Adomeit, S.; Adye, T.; Affolder, A. A.; Agatonovic-Jovin, T.; Agricola, J.; Aguilar-Saavedra, J. A.; Ahlen, S. P.; Ahmadov, F.; Aielli, G.; Akerstedt, H.; Åkesson, T. P. A.; Akimov, A. V.; Alberghi, G. L.; Albert, J.; Albrand, S.; Alconada Verzini, M. J.; Aleksa, M.; Aleksandrov, I. N.; Alexa, C.; Alexander, G.; Alexopoulos, T.; Alhroob, M.; Alimonti, G.; Alio, L.; Alison, J.; Alkire, S. P.; Allbrooke, B. M. M.; Allport, P. P.; Aloisio, A.; Alonso, A.; Alonso, F.; Alpigiani, C.; Altheimer, A.; Alvarez Gonzalez, B.; Álvarez Piqueras, D.; Alviggi, M. G.; Amadio, B. T.; Amako, K.; Amaral Coutinho, Y.; Amelung, C.; Amidei, D.; Amor Dos Santos, S. P.; Amorim, A.; Amoroso, S.; Amram, N.; Amundsen, G.; Anastopoulos, C.; Ancu, L. S.; Andari, N.; Andeen, T.; Anders, C. F.; Anders, G.; Anders, J. K.; Anderson, K. J.; Andreazza, A.; Andrei, V.; Angelidakis, S.; Angelozzi, I.; Anger, P.; Angerami, A.; Anghinolfi, F.; Anisenkov, A. V.; Anjos, N.; Annovi, A.; Antonelli, M.; Antonov, A.; Antos, J.; Anulli, F.; Aoki, M.; Aperio Bella, L.; Arabidze, G.; Arai, Y.; Araque, J. P.; Arce, A. T. H.; Arduh, F. A.; Arguin, J-F.; Argyropoulos, S.; Arik, M.; Armbruster, A. J.; Arnaez, O.; Arnal, V.; Arnold, H.; Arratia, M.; Arslan, O.; Artamonov, A.; Artoni, G.; Asai, S.; Asbah, N.; Ashkenazi, A.; Åsman, B.; Asquith, L.; Assamagan, K.; Astalos, R.; Atkinson, M.; Atlay, N. B.; Augsten, K.; Aurousseau, M.; Avolio, G.; Axen, B.; Ayoub, M. K.; Azuelos, G.; Baak, M. A.; Baas, A. E.; Baca, M. J.; Bacci, C.; Bachacou, H.; Bachas, K.; Backes, M.; Backhaus, M.; Bagiacchi, P.; Bagnaia, P.; Bai, Y.; Bain, T.; Baines, J. T.; Baker, O. K.; Baldin, E. M.; Balek, P.; Balestri, T.; Balli, F.; Balunas, W. K.; Banas, E.; Banerjee, Sw.; Bannoura, A. A. E.; Bansil, H. S.; Barak, L.; Barberio, E. L.; Barberis, D.; Barbero, M.; Barillari, T.; Barisonzi, M.; Barklow, T.; Barlow, N.; Barnes, S. L.; Barnett, B. M.; Barnett, R. M.; Barnovska, Z.; Baroncelli, A.; Barone, G.; Barr, A. J.; Barreiro, F.; Barreiro Guimarães da Costa, J.; Bartoldus, R.; Barton, A. E.; Bartos, P.; Basalaev, A.; Bassalat, A.; Basye, A.; Bates, R. L.; Batista, S. J.; Batley, J. R.; Battaglia, M.; Bauce, M.; Bauer, F.; Bawa, H. S.; Beacham, J. B.; Beattie, M. D.; Beau, T.; Beauchemin, P. H.; Beccherle, R.; Bechtle, P.; Beck, H. P.; Becker, K.; Becker, M.; Beckingham, M.; Becot, C.; Beddall, A. J.; Beddall, A.; Bednyakov, V. A.; Bee, C. P.; Beemster, L. J.; Beermann, T. A.; Begel, M.; Behr, J. K.; Belanger-Champagne, C.; Bell, W. H.; Bella, G.; Bellagamba, L.; Bellerive, A.; Bellomo, M.; Belotskiy, K.; Beltramello, O.; Benary, O.; Benchekroun, D.; Bender, M.; Bendtz, K.; Benekos, N.; Benhammou, Y.; Benhar Noccioli, E.; Benitez Garcia, J. A.; Benjamin, D. P.; Bensinger, J. R.; Bentvelsen, S.; Beresford, L.; Beretta, M.; Berge, D.; Bergeaas Kuutmann, E.; Berger, N.; Berghaus, F.; Beringer, J.; Bernard, C.; Bernard, N. R.; Bernius, C.; Bernlochner, F. U.; Berry, T.; Berta, P.; Bertella, C.; Bertoli, G.; Bertolucci, F.; Bertsche, C.; Bertsche, D.; Besana, M. I.; Besjes, G. J.; Bessidskaia Bylund, O.; Bessner, M.; Besson, N.; Betancourt, C.; Bethke, S.; Bevan, A. J.; Bhimji, W.; Bianchi, R. M.; Bianchini, L.; Bianco, M.; Biebel, O.; Biedermann, D.; Bieniek, S. P.; Biglietti, M.; Bilbao De Mendizabal, J.; Bilokon, H.; Bindi, M.; Binet, S.; Bingul, A.; Bini, C.; Biondi, S.; Bjergaard, D. M.; Black, C. W.; Black, J. E.; Black, K. M.; Blackburn, D.; Blair, R. E.; Blanchard, J. -B.; Blanco, J. E.; Blazek, T.; Bloch, I.; Blocker, C.; Blum, W.; Blumenschein, U.; Bobbink, G. J.; Bobrovnikov, V. S.; Bocchetta, S. S.; Bocci, A.; Bock, C.; Boehler, M.; Bogaerts, J. A.; Bogavac, D.; Bogdanchikov, A. G.; Bohm, C.; Boisvert, V.; Bold, T.; Boldea, V.; Boldyrev, A. S.; Bomben, M.; Bona, M.; Boonekamp, M.; Borisov, A.; Borissov, G.; Borroni, S.; Bortfeldt, J.; Bortolotto, V.; Bos, K.; Boscherini, D.; Bosman, M.; Boudreau, J.; Bouffard, J.; Bouhova-Thacker, E. V.; Boumediene, D.; Bourdarios, C.; Bousson, N.; Boutle, S. K.; Boveia, A.; Boyd, J.; Boyko, I. R.; Bozic, I.; Bracinik, J.; Brandt, A.; Brandt, G.; Brandt, O.; Bratzler, U.; Brau, B.; Brau, J. E.; Braun, H. M.; Brazzale, S. F.; Breaden Madden, W. D.; Brendlinger, K.; Brennan, A. J.; Brenner, L.; Brenner, R.; Bressler, S.; Bristow, K.; Bristow, T. M.; Britton, D.; Britzger, D.; Brochu, F. M.; Brock, I.; Brock, R.; Bronner, J.; Brooijmans, G.; Brooks, T.; Brooks, W. K.; Brosamer, J.; Brost, E.; Brown, J.; Bruckman de Renstrom, P. A.; Bruncko, D.; Bruneliere, R.; Bruni, A.; Bruni, G.; Bruschi, M.; Bruscino, N.; Bryngemark, L.; Buanes, T.; Buat, Q.; Buchholz, P.; Buckley, A. G.; Buda, S. I.; Budagov, I. A.; Buehrer, F.; Bugge, L.; Bugge, M. 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F.; Tas, P.; Tasevsky, M.; Tashiro, T.; Tassi, E.; Tavares Delgado, A.; Tayalati, Y.; Taylor, F. E.; Taylor, G. N.; Taylor, P. T. E.; Taylor, W.; Teischinger, F. A.; Teixeira Dias Castanheira, M.; Teixeira-Dias, P.; Temming, K. K.; Temple, D.; Ten Kate, H.; Teng, P. K.; Teoh, J. J.; Tepel, F.; Terada, S.; Terashi, K.; Terron, J.; Terzo, S.; Testa, M.; Teuscher, R. J.; Theveneaux-Pelzer, T.; Thomas, J. P.; Thomas-Wilsker, J.; Thompson, E. N.; Thompson, P. D.; Thompson, R. J.; Thompson, A. S.; Thomsen, L. A.; Thomson, E.; Thomson, M.; Thun, R. P.; Tibbetts, M. J.; Ticse Torres, R. E.; Tikhomirov, V. O.; Tikhonov, Yu. A.; Timoshenko, S.; Tiouchichine, E.; Tipton, P.; Tisserant, S.; Todome, K.; Todorov, T.; Todorova-Nova, S.; Tojo, J.; Tokár, S.; Tokushuku, K.; Tollefson, K.; Tolley, E.; Tomlinson, L.; Tomoto, M.; Tompkins, L.; Toms, K.; Torrence, E.; Torres, H.; Torró Pastor, E.; Toth, J.; Touchard, F.; Tovey, D. R.; Trefzger, T.; Tremblet, L.; Tricoli, A.; Trigger, I. M.; Trincaz-Duvoid, S.; Tripiana, M. F.; Trischuk, W.; Trocmé, B.; Troncon, C.; Trottier-McDonald, M.; Trovatelli, M.; Truong, L.; Trzebinski, M.; Trzupek, A.; Tsarouchas, C.; Tseng, J. C-L.; Tsiareshka, P. V.; Tsionou, D.; Tsipolitis, G.; Tsirintanis, N.; Tsiskaridze, S.; Tsiskaridze, V.; Tskhadadze, E. G.; Tsukerman, I. I.; Tsulaia, V.; Tsuno, S.; Tsybychev, D.; Tudorache, A.; Tudorache, V.; Tuna, A. N.; Tupputi, S. A.; Turchikhin, S.; Turecek, D.; Turra, R.; Turvey, A. J.; Tuts, P. M.; Tykhonov, A.; Tylmad, M.; Tyndel, M.; Ueda, I.; Ueno, R.; Ughetto, M.; Ugland, M.; Ukegawa, F.; Unal, G.; Undrus, A.; Unel, G.; Ungaro, F. C.; Unno, Y.; Unverdorben, C.; Urban, J.; Urquijo, P.; Urrejola, P.; Usai, G.; Usanova, A.; Vacavant, L.; Vacek, V.; Vachon, B.; Valderanis, C.; Valencic, N.; Valentinetti, S.; Valero, A.; Valery, L.; Valkar, S.; Valladolid Gallego, E.; Vallecorsa, S.; Valls Ferrer, J. A.; Van Den Wollenberg, W.; Van Der Deijl, P. C.; van der Geer, R.; van der Graaf, H.; van Eldik, N.; van Gemmeren, P.; Van Nieuwkoop, J.; van Vulpen, I.; van Woerden, M. C.; Vanadia, M.; Vandelli, W.; Vanguri, R.; Vaniachine, A.; Vannucci, F.; Vardanyan, G.; Vari, R.; Varnes, E. W.; Varol, T.; Varouchas, D.; Vartapetian, A.; Varvell, K. E.; Vazeille, F.; Vazquez Schroeder, T.; Veatch, J.; Veloce, L. M.; Veloso, F.; Velz, T.; Veneziano, S.; Ventura, A.; Ventura, D.; Venturi, M.; Venturi, N.; Venturini, A.; Vercesi, V.; Verducci, M.; Verkerke, W.; Vermeulen, J. C.; Vest, A.; Vetterli, M. C.; Viazlo, O.; Vichou, I.; Vickey, T.; Vickey Boeriu, O. E.; Viehhauser, G. H. A.; Viel, S.; Vigne, R.; Villa, M.; Villaplana Perez, M.; Vilucchi, E.; Vincter, M. G.; Vinogradov, V. B.; Vivarelli, I.; Vives Vaque, F.; Vlachos, S.; Vladoiu, D.; Vlasak, M.; Vogel, M.; Vokac, P.; Volpi, G.; Volpi, M.; von der Schmitt, H.; von Radziewski, H.; von Toerne, E.; Vorobel, V.; Vorobev, K.; Vos, M.; Voss, R.; Vossebeld, J. H.; Vranjes, N.; Vranjes Milosavljevic, M.; Vrba, V.; Vreeswijk, M.; Vuillermet, R.; Vukotic, I.; Vykydal, Z.; Wagner, P.; Wagner, W.; Wahlberg, H.; Wahrmund, S.; Wakabayashi, J.; Walder, J.; Walker, R.; Walkowiak, W.; Wang, C.; Wang, F.; Wang, H.; Wang, H.; Wang, J.; Wang, J.; Wang, K.; Wang, R.; Wang, S. M.; Wang, T.; Wang, T.; Wang, X.; Wanotayaroj, C.; Warburton, A.; Ward, C. P.; Wardrope, D. R.; Washbrook, A.; Wasicki, C.; Watkins, P. M.; Watson, A. T.; Watson, I. J.; Watson, M. F.; Watts, G.; Watts, S.; Waugh, B. M.; Webb, S.; Weber, M. S.; Weber, S. W.; Webster, J. S.; Weidberg, A. R.; Weinert, B.; Weingarten, J.; Weiser, C.; Weits, H.; Wells, P. S.; Wenaus, T.; Wengler, T.; Wenig, S.; Wermes, N.; Werner, M.; Werner, P.; Wessels, M.; Wetter, J.; Whalen, K.; Wharton, A. M.; White, A.; White, M. J.; White, R.; White, S.; Whiteson, D.; Wickens, F. J.; Wiedenmann, W.; Wielers, M.; Wienemann, P.; Wiglesworth, C.; Wiik-Fuchs, L. A. M.; Wildauer, A.; Wilkens, H. G.; Williams, H. H.; Williams, S.; Willis, C.; Willocq, S.; Wilson, A.; Wilson, J. A.; Wingerter-Seez, I.; Winklmeier, F.; Winter, B. T.; Wittgen, M.; Wittkowski, J.; Wollstadt, S. J.; Wolter, M. W.; Wolters, H.; Wosiek, B. K.; Wotschack, J.; Woudstra, M. J.; Wozniak, K. W.; Wu, M.; Wu, M.; Wu, S. L.; Wu, X.; Wu, Y.; Wyatt, T. R.; Wynne, B. M.; Xella, S.; Xu, D.; Xu, L.; Yabsley, B.; Yacoob, S.; Yakabe, R.; Yamada, M.; Yamaguchi, D.; Yamaguchi, Y.; Yamamoto, A.; Yamamoto, S.; Yamanaka, T.; Yamauchi, K.; Yamazaki, Y.; Yan, Z.; Yang, H.; Yang, H.; Yang, Y.; Yao, W-M.; Yasu, Y.; Yatsenko, E.; Yau Wong, K. H.; Ye, J.; Ye, S.; Yeletskikh, I.; Yen, A. L.; Yildirim, E.; Yorita, K.; Yoshida, R.; Yoshihara, K.; Young, C.; Young, C. J. S.; Youssef, S.; Yu, D. R.; Yu, J.; Yu, J. M.; Yu, J.; Yuan, L.; Yuen, S. P. Y.; Yurkewicz, A.; Yusuff, I.; Zabinski, B.; Zaidan, R.; Zaitsev, A. M.; Zalieckas, J.; Zaman, A.; Zambito, S.; Zanello, L.; Zanzi, D.; Zeitnitz, C.; Zeman, M.; Zemla, A.; Zeng, Q.; Zengel, K.; Zenin, O.; Ženiš, T.; Zerwas, D.; Zhang, D.; Zhang, F.; Zhang, H.; Zhang, J.; Zhang, L.; Zhang, R.; Zhang, X.; Zhang, Z.; Zhao, X.; Zhao, Y.; Zhao, Z.; Zhemchugov, A.; Zhong, J.; Zhou, B.; Zhou, C.; Zhou, L.; Zhou, L.; Zhou, M.; Zhou, N.; Zhu, C. G.; Zhu, H.; Zhu, J.; Zhu, Y.; Zhuang, X.; Zhukov, K.; Zibell, A.; Zieminska, D.; Zimine, N. I.; Zimmermann, C.; Zimmermann, S.; Zinonos, Z.; Zinser, M.; Ziolkowski, M.; Živković, L.; Zobernig, G.; Zoccoli, A.; zur Nedden, M.; Zurzolo, G.; Zwalinski, L.

    2015-11-30

    A direct search for lepton-flavour-violating H → μτ decays of the recently discovered Higgs boson with the ATLAS detector at the LHC is presented. The analysis is performed in the H → μτ had channel, where τ had is a hadronically decaying τ -lepton. The search is based on the data sample of proton-proton collisions collected by the ATLAS experiment corresponding to an integrated luminosity of 20.3 fb–1 at a centre-of-mass energy of √s = 8 TeV. No statistically significant excess of data over the predicted background is observed. As a result, the observed (expected) 95% confidence-level upper limit on the branching fraction, Br( H → μτ ), is 1.85% (1.24%).

  3. Preliminary Results of 3D-DDTC Pixel Detectors for the ATLAS Upgrade

    SciTech Connect

    La Rosa, Alessandro; /CERN; Boscardin, M.; /Fond. Bruno Kessler, Povo; Dalla Betta, G.-F.; /Trento U. /INFN, Trento; Darbo, G.; Gemme, C.; /INFN, Genoa; Pernegger, H.; /CERN; Piemonte, C.; /Fond. Bruno Kessler, Povo; Povoli, M.; /Trento U. /INFN, Trento; Ronchin, S.; /Fond. Bruno Kessler, Povo; Zoboli, A.; /Trento U. /INFN, Trento; Zorzi, N.; /Fond. Bruno Kessler, Povo; Bolle, E.; /Oslo U.; Borri, M.; /INFN, Turin /Turin U.; Da Via, C.; /Manchester U.; Dong, S.; /SLAC; Fazio, S.; /Calabria U.; Grenier, P.; /SLAC; Grinstein, S.; /Barcelona, IFAE; Gjersdal, H.; /Oslo U.; Hansson, P.; /SLAC; Huegging, F.; /Bonn U. /SLAC /INFN, Turin /Turin U. /Oslo U. /Bergen U. /Oslo U. /Prague, Tech. U. /Bonn U. /SUNY, Stony Brook /Bonn U. /SLAC

    2012-04-04

    3D Silicon sensors fabricated at FBK-irst with the Double-side Double Type Column (DDTC) approach and columnar electrodes only partially etched through p-type substrates were tested in laboratory and in a 1.35 Tesla magnetic field with a 180 GeV pion beam at CERN SPS. The substrate thickness of the sensors is about 200 {mu}m, and different column depths are available, with overlaps between junction columns (etched from the front side) and ohmic columns (etched from the back side) in the range from 110 {mu}m to 150 {mu}m. The devices under test were bump bonded to the ATLAS Pixel readout chip (FEI3) at SELEX SI (Rome, Italy). We report leakage current and noise measurements, results of functional tests with Am{sup 241} {gamma}-ray sources, charge collection tests with Sr90 {beta}-source and an overview of preliminary results from the CERN beam test.

  4. MARS-KS code validation activity through the atlas domestic standard problem

    SciTech Connect

    Choi, K. Y.; Kim, Y. S.; Kang, K. H.; Park, H. S.; Cho, S.

    2012-07-01

    The 2 nd Domestic Standard Problem (DSP-02) exercise using the ATLAS integral effect test data was executed to transfer the integral effect test data to domestic nuclear industries and to contribute to improving the safety analysis methodology for PWRs. A small break loss of coolant accident of a 6-inch break at the cold leg was determined as a target scenario by considering its technical importance and by incorporating interests from participants. Ten calculation results using MARS-KS code were collected, major prediction results were described qualitatively and code prediction accuracy was assessed quantitatively using the FFTBM. In addition, special code assessment activities were carried out to find out the area where the model improvement is required in the MARS-KS code. The lessons from this DSP-02 and recommendations to code developers are described in this paper. (authors)

  5. Alignment of the Pixel and SCT Modules for the 2004 ATLAS Combined Test Beam

    SciTech Connect

    ATLAS Collaboration; Ahmad, A.; Andreazza, A.; Atkinson, T.; Baines, J.; Barr, A.J.; Beccherle, R.; Bell, P.J.; Bernabeu, J.; Broklova, Z.; Bruckman de Renstrom, P.A.; Cauz, D.; Chevalier, L.; Chouridou, S.; Citterio, M.; Clark, A.; Cobal, M.; Cornelissen, T.; Correard, S.; Costa, M.J.; Costanzo, D.; Cuneo, S.; Dameri, M.; Darbo, G.; de Vivie, J.B.; Di Girolamo, B.; Dobos, D.; Drasal, Z.; Drohan, J.; Einsweiler, K.; Elsing, M.; Emelyanov, D.; Escobar, C.; Facius, K.; Ferrari, P.; Fergusson, D.; Ferrere, D.; Flick,, T.; Froidevaux, D.; Gagliardi, G.; Gallas, M.; Gallop, B.J.; Gan, K.K.; Garcia, C.; Gavrilenko, I.L.; Gemme, C.; Gerlach, P.; Golling, T.; Gonzalez-Sevilla, S.; Goodrick, M.J.; Gorfine, G.; Gottfert, T.; Grosse-Knetter, J.; Hansen, P.H.; Hara, K.; Hartel, R.; Harvey, A.; Hawkings, R.J.; Heinemann, F.E.W.; Henss, T.; Hill, J.C.; Huegging, F.; Jansen, E.; Joseph, J.; Unel, M. Karagoz; Kataoka, M.; Kersten, S.; Khomich, A.; Klingenberg, R.; Kodys, P.; Koffas, T.; Konstantinidis, N.; Kostyukhin, V.; Lacasta, C.; Lari, T.; Latorre, S.; Lester, C.G.; Liebig, W.; Lipniacka, A.; Lourerio, K.F.; Mangin-Brinet, M.; Marti i Garcia, S.; Mathes, M.; Meroni, C.; Mikulec, B.; Mindur, B.; Moed, S.; Moorhead, G.; Morettini, P.; Moyse, E.W.J.; Nakamura, K.; Nechaeva, P.; Nikolaev, K.; Parodi, F.; Parzhitskiy, S.; Pater, J.; Petti, R.; Phillips, P.W.; Pinto, B.; Poppleton, A.; Reeves, K.; Reisinger, I.; Reznicek, P.; Risso, P.; Robinson, D.; Roe, S.; Rozanov, A.; Salzburger, A.; Sandaker, H.; Santi, L.; Schiavi, C.; Schieck, J.; Schultes, J.; Sfyrla, A.; Shaw, C.; Tegenfeldt, F.; Timmermans, C.J.W.P.; Toczek, B.; Troncon, C.; Tyndel, M.; Vernocchi, F.; Virzi, J.; Anh, T. Vu; Warren, M.; Weber, J.; Weber, M.; Weidberg, A.R.; Weingarten, J.; Wellsf, P.S.; Zhelezkow, A.

    2008-06-02

    A small set of final prototypes of the ATLAS Inner Detector silicon tracking system(Pixel Detector and SemiConductor Tracker), were used to take data during the 2004 Combined Test Beam. Data were collected from runs with beams of different flavour (electrons, pions, muons and photons) with a momentum range of 2 to 180 GeV/c. Four independent methods were used to align the silicon modules. The corrections obtained were validated using the known momenta of the beam particles and were shown to yield consistent results among the different alignment approaches. From the residual distributions, it is concluded that the precision attained in the alignmentof the silicon modules is of the order of 5 mm in their most precise coordinate.

  6. Reconstruction of hadronic decay products of tau leptons with the ATLAS experiment

    DOE PAGES [OSTI]

    Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Aben, R.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; Abreu, H.; Abreu, R.; et al

    2016-05-25

    This document presents a new method of reconstructing the individual charged and neutral hadrons in tau decays with the ATLAS detector. The reconstructed hadrons are used to classify the decay mode and to calculate the visible four-momentum of reconstructed tau candidates, significantly improving the resolution with respect to the calibration in the existing tau reconstruction. The performance of the reconstruction algorithm is optimised and evaluated using simulation and validated using samples of Z → ττ and Z(→ μμ)+jets events selected from proton–proton collisions at a centre-of-mass energy √s = 8 TeV, corresponding to an integrated luminosity of 5 fb-1.

  7. Regional Climate Change Webinar Presentation | Department of...

    Energy.gov [DOE] (indexed site)

    Regional Climate Change Webinar presentation dated August 6, 2015. Regional Climate Change Webinar Presentation (7.29 MB) More Documents & Publications Regional Climate Change ...

  8. Regional Climate Change Webinar Presentation | Department of...

    Energy.gov [DOE] (indexed site)

    Regional Climate Change Webinar presentation dated August 6, 2015. Regional Climate Change Webinar Presentation More Documents & Publications Regional Climate Change Webinar...

  9. Yellowstone Caldera Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Region (Finn & Morgan, 2002) Compound and Elemental Analysis At Yellowstone Region (Goff & Janik, 2002) Compound and Elemental Analysis At Yellowstone Region (Hurwitz, Et Al.,...

  10. Summary of the ATLAS experiment’s sensitivity to supersymmetry after LHC Run 1 -- interpreted in the phenomenological MSSM

    DOE PAGES [OSTI]

    Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Aben, R.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; Abreu, H.; Abreu, R.; et al

    2015-10-21

    A summary of the constraints from the ATLAS experiment on R -parity-conserving supersymmetry is presented. Results from 22 separate ATLAS searches are considered, each based on analysis of up to 20.3 fb–1 of proton-proton collision data at centre-of-mass energies of √s =7 and 8 TeV at the Large Hadron Collider. The results are interpreted in the context of the 19-parameter phenomenological minimal supersymmetric standard model, in which the lightest supersymmetric particle is a neutralino, taking into account constraints from previous precision electroweak and flavour measurements as well as from dark matter related measurements. The results are presented in terms ofmore » constraints on supersymmetric particle masses and are compared to limits from simplified models. The impact of ATLAS searches on parameters such as the dark matter relic density, the couplings of the observed Higgs boson, and the degree of electroweak fine-tuning is also shown. As a result, spectra for surviving supersymmetry model points with low fine-tunings are presented.« less

  11. Sonar atlas of caverns comprising the U.S. Strategic Petroleum Reserve. Volume 2, Big Hill Site, Texas.

    SciTech Connect

    Rautman, Christopher Arthur; Lord, Anna Snider

    2007-08-01

    Downhole sonar surveys from the four active U.S. Strategic Petroleum Reserve sites have been modeled and used to generate a four-volume sonar atlas, showing the three-dimensional geometry of each cavern. This volume 2 focuses on the Big Hill SPR site, located in southeastern Texas. Volumes 1, 3, and 4, respectively, present images for the Bayou Choctaw SPR site, Louisiana, the Bryan Mound SPR site, Texas, and the West Hackberry SPR site, Louisiana. The atlas uses a consistent presentation format throughout. The basic geometric measurements provided by the down-cavern surveys have also been used to generate a number of geometric attributes, the values of which have been mapped onto the geometric form of each cavern using a color-shading scheme. The intent of the various geometrical attributes is to highlight deviations of the cavern shape from the idealized cylindrical form of a carefully leached underground storage cavern in salt. The atlas format does not allow interpretation of such geometric deviations and anomalies. However, significant geometric anomalies, not directly related to the leaching history of the cavern, may provide insight into the internal structure of the relevant salt dome.

  12. A HIGH-RESOLUTION, MULTI-EPOCH SPECTRAL ATLAS OF PECULIAR STARS INCLUDING RAVE, GAIA , AND HERMES WAVELENGTH RANGES

    SciTech Connect

    Tomasella, Lina; Munari, Ulisse; Zwitter, Tomaz

    2010-12-15

    We present an Echelle+CCD, high signal-to-noise ratio, high-resolution (R = 20,000) spectroscopic atlas of 108 well-known objects representative of the most common types of peculiar and variable stars. The wavelength interval extends from 4600 to 9400 A and includes the RAVE, Gaia, and HERMES wavelength ranges. Multi-epoch spectra are provided for the majority of the observed stars. A total of 425 spectra of peculiar stars, which were collected during 56 observing nights between 1998 November and 2002 August, are presented. The spectra are given in FITS format and heliocentric wavelengths, with accurate subtraction of both the sky background and the scattered light. Auxiliary material useful for custom applications (telluric dividers, spectrophotometric stars, flat-field tracings) is also provided. The atlas aims to provide a homogeneous database of the spectral appearance of stellar peculiarities, a tool useful both for classification purposes and inter-comparison studies. It could also serve in the planning and development of automated classification algorithms designed for RAVE, Gaia, HERMES, and other large-scale spectral surveys. The spectrum of XX Oph is discussed in some detail as an example of the content of the present atlas.

  13. Summary of the ATLAS experiment’s sensitivity to supersymmetry after LHC Run 1 -- interpreted in the phenomenological MSSM

    SciTech Connect

    Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Aben, R.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; Abreu, H.; Abreu, R.; Abulaiti, Y.; Acharya, B. S.; Adamczyk, L.; Adams, D. L.; Adelman, J.; Adomeit, S.; Adye, T.; Affolder, A. A.; Agatonovic-Jovin, T.; Agricola, J.; Aguilar-Saavedra, J. A.; Ahlen, S. P.; Ahmadov, F.; Aielli, G.; Akerstedt, H.; Åkesson, T. P. A.; Akimov, A. V.; Alberghi, G. L.; Albert, J.; Albrand, S.; Alconada Verzini, M. J.; Aleksa, M.; Aleksandrov, I. N.; Alexa, C.; Alexander, G.; Alexopoulos, T.; Alhroob, M.; Alimonti, G.; Alio, L.; Alison, J.; Alkire, S. P.; Allbrooke, B. M. M.; Allport, P. P.; Aloisio, A.; Alonso, A.; Alonso, F.; Alpigiani, C.; Altheimer, A.; Alvarez Gonzalez, B.; Álvarez Piqueras, D.; Alviggi, M. G.; Amadio, B. T.; Amako, K.; Amaral Coutinho, Y.; Amelung, C.; Amidei, D.; Amor Dos Santos, S. P.; Amorim, A.; Amoroso, S.; Amram, N.; Amundsen, G.; Anastopoulos, C.; Ancu, L. S.; Andari, N.; Andeen, T.; Anders, C. F.; Anders, G.; Anders, J. K.; Anderson, K. J.; Andreazza, A.; Andrei, V.; Angelidakis, S.; Angelozzi, I.; Anger, P.; Angerami, A.; Anghinolfi, F.; Anisenkov, A. V.; Anjos, N.; Annovi, A.; Antonelli, M.; Antonov, A.; Antos, J.; Anulli, F.; Aoki, M.; Aperio Bella, L.; Arabidze, G.; Arai, Y.; Araque, J. P.; Arce, A. T. H.; Arduh, F. A.; Arguin, J-F.; Argyropoulos, S.; Arik, M.; Armbruster, A. J.; Arnaez, O.; Arnold, H.; Arratia, M.; Arslan, O.; Artamonov, A.; Artoni, G.; Asai, S.; Asbah, N.; Ashkenazi, A.; Åsman, B.; Asquith, L.; Assamagan, K.; Astalos, R.; Atkinson, M.; Atlay, N. B.; Augsten, K.; Aurousseau, M.; Avolio, G.; Axen, B.; Ayoub, M. K.; Azuelos, G.; Baak, M. A.; Baas, A. E.; Baca, M. J.; Bacci, C.; Bachacou, H.; Bachas, K.; Backes, M.; Backhaus, M.; Bagiacchi, P.; Bagnaia, P.; Bai, Y.; Bain, T.; Baines, J. T.; Baker, O. K.; Baldin, E. M.; Balek, P.; Balestri, T.; Balli, F.; Balunas, W. K.; Banas, E.; Banerjee, Sw.; Bannoura, A. A. E.; Barak, L.; Barberio, E. L.; Barberis, D.; Barbero, M.; Barillari, T.; Barisonzi, M.; Barklow, T.; Barlow, N.; Barnes, S. L.; Barnett, B. M.; Barnett, R. M.; Barnovska, Z.; Baroncelli, A.; Barone, G.; Barr, A. J.; Barreiro, F.; Barreiro Guimarães da Costa, J.; Bartoldus, R.; Barton, A. E.; Bartos, P.; Basalaev, A.; Bassalat, A.; Basye, A.; Bates, R. L.; Batista, S. J.; Batley, J. R.; Battaglia, M.; Bauce, M.; Bauer, F.; Bawa, H. S.; Beacham, J. B.; Beattie, M. D.; Beau, T.; Beauchemin, P. H.; Beccherle, R.; Bechtle, P.; Beck, H. P.; Becker, K.; Becker, M.; Beckingham, M.; Becot, C.; Beddall, A. J.; Beddall, A.; Bednyakov, V. A.; Bee, C. P.; Beemster, L. J.; Beermann, T. A.; Begel, M.; Behr, J. K.; Belanger-Champagne, C.; Bell, W. H.; Bella, G.; Bellagamba, L.; Bellerive, A.; Bellomo, M.; Belotskiy, K.; Beltramello, O.; Benary, O.; Benchekroun, D.; Bender, M.; Bendtz, K.; Benekos, N.; Benhammou, Y.; Benhar Noccioli, E.; Benitez Garcia, J. A.; Benjamin, D. P.; Bensinger, J. R.; Bentvelsen, S.; Beresford, L.; Beretta, M.; Berge, D.; Bergeaas Kuutmann, E.; Berger, N.; Berghaus, F.; Beringer, J.; Bernard, C.; Bernard, N. R.; Bernius, C.; Bernlochner, F. U.; Berry, T.; Berta, P.; Bertella, C.; Bertoli, G.; Bertolucci, F.; Bertsche, C.; Bertsche, D.; Besana, M. I.; Besjes, G. J.; Bessidskaia Bylund, O.; Bessner, M.; Besson, N.; Betancourt, C.; Bethke, S.; Bevan, A. J.; Bhimji, W.; Bianchi, R. M.; Bianchini, L.; Bianco, M.; Biebel, O.; Biedermann, D.; Bieniek, S. P.; Biesuz, N. V.; Biglietti, M.; Bilbao De Mendizabal, J.; Bilokon, H.; Bindi, M.; Binet, S.; Bingul, A.; Bini, C.; Biondi, S.; Bjergaard, D. M.; Black, C. W.; Black, J. E.; Black, K. M.; Blackburn, D.; Blair, R. E.; Blanchard, J. -B.; Blanco, J. E.; Blazek, T.; Bloch, I.; Blocker, C.; Blum, W.; Blumenschein, U.; Blunier, S.; Bobbink, G. J.; Bobrovnikov, V. S.; Bocchetta, S. S.; Bocci, A.; Bock, C.; Boehler, M.; Bogaerts, J. A.; Bogavac, D.; Bogdanchikov, A. G.; Bohm, C.; Boisvert, V.; Bold, T.; Boldea, V.; Boldyrev, A. S.; Bomben, M.; Bona, M.; Boonekamp, M.; Borisov, A.; Borissov, G.; Borroni, S.; Bortfeldt, J.; Bortolotto, V.; Bos, K.; Boscherini, D.; Bosman, M.; Boudreau, J.; Bouffard, J.; Bouhova-Thacker, E. V.; Boumediene, D.; Bourdarios, C.; Bousson, N.; Boutle, S. K.; Boveia, A.; Boyd, J.; Boyko, I. R.; Bozic, I.; Bracinik, J.; Brandt, A.; Brandt, G.; Brandt, O.; Bratzler, U.; Brau, B.; Brau, J. E.; Braun, H. M.; Breaden Madden, W. D.; Brendlinger, K.; Brennan, A. J.; Brenner, L.; Brenner, R.; Bressler, S.; Bristow, K.; Bristow, T. M.; Britton, D.; Britzger, D.; Brochu, F. M.; Brock, I.; Brock, R.; Bronner, J.; Brooijmans, G.; Brooks, T.; Brooks, W. K.; Brosamer, J.; Brost, E.; Bruckman de Renstrom, P. A.; Bruncko, D.; Bruneliere, R.; Bruni, A.; Bruni, G.; Bruschi, M.; Bruscino, N.; Bryngemark, L.; Buanes, T.; Buat, Q.; Buchholz, P.; Buckley, A. G.; Buda, S. I.; Budagov, I. A.; Buehrer, F.; Bugge, L.; Bugge, M. 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A.; Thomson, E.; Thomson, M.; Thun, R. P.; Tibbetts, M. J.; Ticse Torres, R. E.; Tikhomirov, V. O.; Tikhonov, Yu. A.; Timoshenko, S.; Tiouchichine, E.; Tipton, P.; Tisserant, S.; Todome, K.; Todorov, T.; Todorova-Nova, S.; Tojo, J.; Tokár, S.; Tokushuku, K.; Tollefson, K.; Tolley, E.; Tomlinson, L.; Tomoto, M.; Tompkins, L.; Toms, K.; Torrence, E.; Torres, H.; Torró Pastor, E.; Toth, J.; Touchard, F.; Tovey, D. R.; Trefzger, T.; Tremblet, L.; Tricoli, A.; Trigger, I. M.; Trincaz-Duvoid, S.; Tripiana, M. F.; Trischuk, W.; Trocmé, B.; Troncon, C.; Trottier-McDonald, M.; Trovatelli, M.; Truong, L.; Trzebinski, M.; Trzupek, A.; Tsarouchas, C.; Tseng, J. C-L.; Tsiareshka, P. V.; Tsionou, D.; Tsipolitis, G.; Tsirintanis, N.; Tsiskaridze, S.; Tsiskaridze, V.; Tskhadadze, E. G.; Tsukerman, I. I.; Tsulaia, V.; Tsuno, S.; Tsybychev, D.; Tudorache, A.; Tudorache, V.; Tuna, A. N.; Tupputi, S. A.; Turchikhin, S.; Turecek, D.; Turra, R.; Turvey, A. J.; Tuts, P. M.; Tykhonov, A.; Tylmad, M.; Tyndel, M.; Ueda, I.; Ueno, R.; Ughetto, M.; Ugland, M.; Ukegawa, F.; Unal, G.; Undrus, A.; Unel, G.; Ungaro, F. C.; Unno, Y.; Unverdorben, C.; Urban, J.; Urquijo, P.; Urrejola, P.; Usai, G.; Usanova, A.; Vacavant, L.; Vacek, V.; Vachon, B.; Valderanis, C.; Valencic, N.; Valentinetti, S.; Valero, A.; Valery, L.; Valkar, S.; Vallecorsa, S.; Valls Ferrer, J. A.; Van Den Wollenberg, W.; Van Der Deijl, P. C.; van der Geer, R.; van der Graaf, H.; van Eldik, N.; van Gemmeren, P.; Van Nieuwkoop, J.; van Vulpen, I.; van Woerden, M. C.; Vanadia, M.; Vandelli, W.; Vanguri, R.; Vaniachine, A.; Vannucci, F.; Vardanyan, G.; Vari, R.; Varnes, E. W.; Varol, T.; Varouchas, D.; Vartapetian, A.; Varvell, K. E.; Vazeille, F.; Vazquez Schroeder, T.; Veatch, J.; Veloce, L. M.; Veloso, F.; Velz, T.; Veneziano, S.; Ventura, A.; Ventura, D.; Venturi, M.; Venturi, N.; Venturini, A.; Vercesi, V.; Verducci, M.; Verkerke, W.; Vermeulen, J. C.; Vest, A.; Vetterli, M. C.; Viazlo, O.; Vichou, I.; Vickey, T.; Vickey Boeriu, O. E.; Viehhauser, G. H. A.; Viel, S.; Vigne, R.; Villa, M.; Villaplana Perez, M.; Vilucchi, E.; Vincter, M. G.; Vinogradov, V. B.; Vivarelli, I.; Vives Vaque, F.; Vlachos, S.; Vladoiu, D.; Vlasak, M.; Vogel, M.; Vokac, P.; Volpi, G.; Volpi, M.; von der Schmitt, H.; von Radziewski, H.; von Toerne, E.; Vorobel, V.; Vorobev, K.; Vos, M.; Voss, R.; Vossebeld, J. H.; Vranjes, N.; Vranjes Milosavljevic, M.; Vrba, V.; Vreeswijk, M.; Vuillermet, R.; Vukotic, I.; Vykydal, Z.; Wagner, P.; Wagner, W.; Wahlberg, H.; Wahrmund, S.; Wakabayashi, J.; Walder, J.; Walker, R.; Walkowiak, W.; Wang, C.; Wang, F.; Wang, H.; Wang, H.; Wang, J.; Wang, J.; Wang, K.; Wang, R.; Wang, S. M.; Wang, T.; Wang, T.; Wang, X.; Wanotayaroj, C.; Warburton, A.; Ward, C. P.; Wardrope, D. R.; Washbrook, A.; Wasicki, C.; Watkins, P. M.; Watson, A. T.; Watson, I. J.; Watson, M. F.; Watts, G.; Watts, S.; Waugh, B. M.; Webb, S.; Weber, M. S.; Weber, S. W.; Webster, J. S.; Weidberg, A. R.; Weinert, B.; Weingarten, J.; Weiser, C.; Weits, H.; Wells, P. S.; Wenaus, T.; Wengler, T.; Wenig, S.; Wermes, N.; Werner, M.; Werner, P.; Wessels, M.; Wetter, J.; Whalen, K.; Wharton, A. M.; White, A.; White, M. J.; White, R.; White, S.; Whiteson, D.; Wickens, F. J.; Wiedenmann, W.; Wielers, M.; Wienemann, P.; Wiglesworth, C.; Wiik-Fuchs, L. A. M.; Wildauer, A.; Wilkens, H. G.; Williams, H. H.; Williams, S.; Willis, C.; Willocq, S.; Wilson, A.; Wilson, J. A.; Wingerter-Seez, I.; Winklmeier, F.; Winter, B. T.; Wittgen, M.; Wittkowski, J.; Wollstadt, S. J.; Wolter, M. W.; Wolters, H.; Wosiek, B. K.; Wotschack, J.; Woudstra, M. J.; Wozniak, K. W.; Wu, M.; Wu, M.; Wu, S. L.; Wu, X.; Wu, Y.; Wyatt, T. R.; Wynne, B. M.; Xella, S.; Xu, D.; Xu, L.; Yabsley, B.; Yacoob, S.; Yakabe, R.; Yamada, M.; Yamaguchi, D.; Yamaguchi, Y.; Yamamoto, A.; Yamamoto, S.; Yamanaka, T.; Yamauchi, K.; Yamazaki, Y.; Yan, Z.; Yang, H.; Yang, H.; Yang, Y.; Yao, W-M.; Yap, Y. C.; Yasu, Y.; Yatsenko, E.; Yau Wong, K. H.; Ye, J.; Ye, S.; Yeletskikh, I.; Yen, A. L.; Yildirim, E.; Yorita, K.; Yoshida, R.; Yoshihara, K.; Young, C.; Young, C. J. S.; Youssef, S.; Yu, D. R.; Yu, J.; Yu, J. M.; Yu, J.; Yuan, L.; Yuen, S. P. Y.; Yurkewicz, A.; Yusuff, I.; Zabinski, B.; Zaidan, R.; Zaitsev, A. M.; Zalieckas, J.; Zaman, A.; Zambito, S.; Zanello, L.; Zanzi, D.; Zeitnitz, C.; Zeman, M.; Zemla, A.; Zeng, Q.; Zengel, K.; Zenin, O.; Ženiš, T.; Zerwas, D.; Zhang, D.; Zhang, F.; Zhang, G.; Zhang, H.; Zhang, J.; Zhang, L.; Zhang, R.; Zhang, X.; Zhang, Z.; Zhao, X.; Zhao, Y.; Zhao, Z.; Zhemchugov, A.; Zhong, J.; Zhou, B.; Zhou, C.; Zhou, L.; Zhou, L.; Zhou, M.; Zhou, N.; Zhu, C. G.; Zhu, H.; Zhu, J.; Zhu, Y.; Zhuang, X.; Zhukov, K.; Zibell, A.; Zieminska, D.; Zimine, N. I.; Zimmermann, C.; Zimmermann, S.; Zinonos, Z.; Zinser, M.; Ziolkowski, M.; Živković, L.; Zobernig, G.; Zoccoli, A.; zur Nedden, M.; Zurzolo, G.; Zwalinski, L.

    2015-10-21

    A summary of the constraints from the ATLAS experiment on R -parity-conserving supersymmetry is presented. Results from 22 separate ATLAS searches are considered, each based on analysis of up to 20.3 fb–1 of proton-proton collision data at centre-of-mass energies of √s =7 and 8 TeV at the Large Hadron Collider. The results are interpreted in the context of the 19-parameter phenomenological minimal supersymmetric standard model, in which the lightest supersymmetric particle is a neutralino, taking into account constraints from previous precision electroweak and flavour measurements as well as from dark matter related measurements. The results are presented in terms of constraints on supersymmetric particle masses and are compared to limits from simplified models. The impact of ATLAS searches on parameters such as the dark matter relic density, the couplings of the observed Higgs boson, and the degree of electroweak fine-tuning is also shown. As a result, spectra for surviving supersymmetry model points with low fine-tunings are presented.

  14. A HIGH-RESOLUTION ATLAS OF URANIUM-NEON IN THE H BAND

    SciTech Connect

    Redman, Stephen L.; Terrien, Ryan; Mahadevan, Suvrath; Ramsey, Lawrence W.; Bender, Chad F. [Department of Astronomy and Astrophysics, Pennsylvania State University, University Park, PA 16802 (United States); Ycas, Gabriel G. [Department of Physics, University of Colorado, Boulder, CO 80309 (United States); Osterman, Steven N. [Center for Astrophysics and Space Astronomy, University of Colorado, Boulder, CO 80309 (United States); Diddams, Scott A.; Quinlan, Franklyn [Time and Frequency Division, National Institute of Standards and Technology, Boulder, CO 80305 (United States); Lawler, James E. [Department of Physics, University of Wisconsin, 1150 University Avenue, Madison, WI 53706 (United States); Nave, Gillian [Atomic Physics Division, National Institute of Standards and Technology, Gaithersburg, MD 20899 (United States)

    2012-03-01

    We present a high-resolution (R Almost-Equal-To 50,000) atlas of a uranium-neon (U/Ne) hollow-cathode spectrum in the H band (1454-1638 nm) for the calibration of near-infrared spectrographs. We obtained this U/Ne spectrum simultaneously with a laser-frequency comb spectrum, which we used to provide a first-order calibration to the U/Ne spectrum. We then calibrated the U/Ne spectrum using the recently published uranium line list of Redman et al., which is derived from high-resolution Fourier transform spectrometer measurements. These two independent calibrations allowed us to easily identify emission lines in the hollow-cathode lamp that do not correspond to known (classified) lines of either uranium or neon, and to compare the achievable precision of each source. Our frequency comb precision was limited by modal noise and detector effects, while the U/Ne precision was limited primarily by the signal-to-noise ratio (S/N) of the observed emission lines and our ability to model blended lines. The standard deviation in the dispersion solution residuals from the S/N-limited U/Ne hollow-cathode lamp was 50% larger than the standard deviation of the dispersion solution residuals from the modal-noise-limited laser-frequency comb. We advocate the use of U/Ne lamps for precision calibration of near-infrared spectrographs, and this H-band atlas makes these lamps significantly easier to use for wavelength calibration.

  15. Measurement of the inclusive and dijet cross-sections of b-jets in pp collisions at root s=7 TeV with the ATLAS detector

    SciTech Connect

    Aad, G.; Abbott, B; Abdallah, J; Abdelalim, AA; Abdesselam, A; Abdinov, O; Abi, B; Abolins, M; Abramowicz, H; Abreu, H; Acerbi, E; Acharya, BS; Adams, DL; Addy, TN; Adelman, J; Aderholz, M; Adomeit, S; Adragna, P; Adye, T; Aefsky, S; Aguilar-Saavedra, JA; A

    2011-12-01

    The inclusive and dijet production cross-sections have been measured for jets containing b-hadrons (b-jets) in proton-proton collisions at a centre-of-mass energy of {radical}s = 7 TeV, using the ATLAS detector at the LHC. The measurements use data corresponding to an integrated luminosity of 34 pb{sup -1}. The b-jets are identified using either a lifetime-based method, where secondary decay vertices of b-hadrons in jets are reconstructed using information from the tracking detectors, or a muon-based method where the presence of a muon is used to identify semileptonic decays of b-hadrons inside jets. The inclusive b-jet cross-section is measured as a function of transverse momentum in the range 20 < p{sub T} < 400 GeV and rapidity in the range |y| < 2.1. The b{bar b}-dijet cross-section is measured as a function of the dijet invariant mass in the range 110 < m{sub jj} < 760 GeV, the azimuthal angle difference between the two jets and the angular variable {chi} in two dijet mass regions. The results are compared with next-to-leading-order QCD predictions. Good agreement is observed between the measured cross-sections and the predictions obtained using POWHEG + Pythia. MC{at}NLO + Herwig shows good agreement with the measured b{bar b}-dijet cross-section. However, it does not reproduce the measured inclusive cross-section well, particularly for central b-jets with large transverse momenta.

  16. Measurement of the correlation between flow harmonics of different order in lead-lead collisions at s NN = 2.76 TeV with the ATLAS detector

    DOE PAGES [OSTI]

    Aad, G.

    2015-09-14

    Correlations between the elliptic or triangular flow coefficients vm (m=2 or 3) and other flow harmonics vn (n=2 to 5) are measured using ?sNN=2.76 TeV Pb+Pb collision data collected in 2010 by the ATLAS experiment at the LHC, corresponding to an integrated luminosity of 7 ?b-1. The vm-vn correlations are measured in midrapidity as a function of centrality, and, for events within the same centrality interval, as a function of event ellipticity or triangularity defined in a forward rapidity region. For events within the same centrality interval, v3 is found to be anticorrelated with v2 and this anticorrelation is consistentmorewith similar anticorrelations between the corresponding eccentricities, ?2 and ?3. However, it is observed that v4 increases strongly with v2, and v5 increases strongly with both v2 and v3. The trend and strength of the vm-vn correlations for n=4 and 5 are found to disagree with ?m-?n correlations predicted by initial-geometry models. Instead, these correlations are found to be consistent with the combined effects of a linear contribution to vn and a nonlinear term that is a function of v22 or of v2v3, as predicted by hydrodynamic models. A simple two-component fit is used to separate these two contributions. The extracted linear and nonlinear contributions to v4 and v5 are found to be consistent with previously measured event-plane correlations.less

  17. Figure 1. Census Regions and Divisions

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    US Federal Regions> Region 1 Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont Region 2 New Jersey, New York Region 3 ...

  18. More Regional Science Bowl Winners

    Energy.gov [DOE]

    By March 25, 2011, thousands of students will have competed in more than 100 regional science bowl contests throughout the country, and then the winning schools will compete in DC this spring for the national championship.

  19. Geothermal Regions | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    groundwater flow), and other relevant factors. The 21 regions can be seen outlined in red and overlain on the 2008 USGS Geothermal Favorability Map in Figure 1.1 Add a new...

  20. 2015 NHA Alaska Regional Meeting

    Energy.gov [DOE]

    Register today and join industry professionals for interactive discussions covering a variety of regional topics and a tour of the Eklutna lake Project.

  1. RAFT Regional Algal Feedstock Testbed

    Energy.gov [DOE]

    Breakout Session 3B—Integration of Supply Chains III: Algal Biofuels Strategy RAFT Regional Algal Feedstock Testbed Kimberly Ogden, Professor, University of Arizona, Engineering Technical Lead, National Alliance for Advanced Biofuels and Bioproducts

  2. Regional

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    3 AÇORIANO ORIENTAL SEGUNDA-FEIRA, 5 DE MARÇO DE 2012 PUB Da Graciosa para a Índia graças à estação atmosférica Carlos está atualmente a trabalhar na estação atmosférica móvel instalada na Índia, a dois mil metros de altitude Estar no lugar certo na hora cer- ta pode mudar radicalmente a vida de uma pessoa. Foi isso que aconteceu ao graciosense Carlos Sousa, de 41 anos, que começou por ser trabalhador daconstrução civil antes de emigrar para os Es- tados Unidos da América. No

  3. WINDExchange: About Regional Resource Centers

    WindExchange

    Deployment Activities Printable Version Bookmark and Share Regional Resource Centers About Economic Development Siting About Regional Resource Centers Significant expansion of wind energy deployment will be required to achieve the President's goal of doubling renewable energy production in the United States by 2020. Wind energy currently provides more than 4% of the nation's electricity but has the potential to provide much more. Increasing the country's percentage from wind power will mean

  4. Regional Transmission Projects: Finding Solutions

    SciTech Connect

    The Keystone Center

    2005-06-15

    The Keystone Center convened and facilitated a year-long Dialogue on "Regional Transmission Projects: Finding Solutions" to develop recommendations that will help address the difficult and contentious issues related to expansions of regional electric transmission systems that are needed for reliable and economic transmission of power within and across regions. This effort brought together a cross-section of affected stakeholders and thought leaders to address the problem with the collective wisdom of their experience and interests. Transmission owners sat at the table with consumer advocates and environmental organizations. Representatives from regional transmission organizations exchanged ideas with state and federal regulators. Generation developers explored common interests with public power suppliers. Together, the Dialogue participants developed consensus solutions about how to begin unraveling some of the more intractable issues surrounding identification of need, allocation of costs, and reaching consensus on siting issues that can frustrate the development of regional transmission infrastructure. The recommendations fall into three broad categories: 1. Recommendations on appropriate institutional arrangements and processes for achieving regional consensus on the need for new or expanded transmission infrastructure 2. Recommendations on the process for siting of transmission lines 3. Recommendations on the tools needed to support regional planning, cost allocation, and siting efforts. List of Dialogue participants: List of Dialogue Participants: American Electric Power American Transmission Company American Wind Energy Association California ISO Calpine Corporation Cinergy Edison Electric Institute Environmental Defense Federal Energy Regulatory Commission Great River Energy International Transmission Company ISO-New England Iowa Public Utility Board Kanner & Associates Midwest ISO National Association of Regulatory Utility Commissioners National Association

  5. Hierarchical probabilistic regionalization of volcanism for Sengan region, Japan.

    SciTech Connect

    Balasingam, Pirahas; Park, Jinyong; McKenna, Sean Andrew; Kulatilake, Pinnaduwa H. S. W.

    2005-03-01

    A 1 km square regular grid system created on the Universal Transverse Mercator zone 54 projected coordinate system is used to work with volcanism related data for Sengan region. The following geologic variables were determined as the most important for identifying volcanism: geothermal gradient, groundwater temperature, heat discharge, groundwater pH value, presence of volcanic rocks and presence of hydrothermal alteration. Data available for each of these important geologic variables were used to perform directional variogram modeling and kriging to estimate geologic variable vectors at each of the 23949 centers of the chosen 1 km cell grid system. Cluster analysis was performed on the 23949 complete variable vectors to classify each center of 1 km cell into one of five different statistically homogeneous groups with respect to potential volcanism spanning from lowest possible volcanism to highest possible volcanism with increasing group number. A discriminant analysis incorporating Bayes theorem was performed to construct maps showing the probability of group membership for each of the volcanism groups. The said maps showed good comparisons with the recorded locations of volcanism within the Sengan region. No volcanic data were found to exist in the group 1 region. The high probability areas within group 1 have the chance of being the no volcanism region. Entropy of classification is calculated to assess the uncertainty of the allocation process of each 1 km cell center location based on the calculated probabilities. The recorded volcanism data are also plotted on the entropy map to examine the uncertainty level of the estimations at the locations where volcanism exists. The volcanic data cell locations that are in the high volcanism regions (groups 4 and 5) showed relatively low mapping estimation uncertainty. On the other hand, the volcanic data cell locations that are in the low volcanism region (group 2) showed relatively high mapping estimation uncertainty

  6. EIA - Natural Gas Pipeline Network - Regional Definitions

    Energy Information Administration (EIA) (indexed site)

    Definitions Map About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates Regional Definitions The regions defined in the above map are based upon the 10 Federal Regions of the U.S. Bureau of Labor Statistics. The State groupings are as follows: Northeast Region - Federal Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont. Federal Region 2: New Jersey, and New York. Federal Region 3:Delaware, District of

  7. Groundwater in the Regional Aquifer

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Groundwater in the Regional Aquifer Groundwater in the Regional Aquifer LANL maintains an extensive groundwater monitoring and surveillance program through sampling. August 1, 2013 Conceptual model of water movement and geology at Los Alamos National Laboratory Conceptual model of water movement and geology at Los Alamos National Laboratory RELATED IMAGES http://farm4.staticflickr.com/3749/9827580556_473a91fd78_t.jpg Enlarge http://farm3.staticflickr.com/2856/9804364405_b25f74cbb2_t.jpg En

  8. NATIONAL CARBON SEQUESTRATION DATABASE AND GEOGRAPHIC INFORMATION SYSTEM (NATCARB) FORMER TITLE-MIDCONTINENT INTERACTIVE DIGITAL CARBON ATLAS AND RELATIONAL DATABASE (MIDCARB)

    SciTech Connect

    Timothy R. Carr

    2004-07-16

    This annual report describes progress in the third year of the three-year project entitled ''Midcontinent Interactive Digital Carbon Atlas and Relational Database (MIDCARB)''. The project assembled a consortium of five states (Indiana, Illinois, Kansas, Kentucky and Ohio) to construct an online distributed Relational Database Management System (RDBMS) and Geographic Information System (GIS) covering aspects of carbon dioxide (CO{sub 2}) geologic sequestration (http://www.midcarb.org). The system links the five states in the consortium into a coordinated regional database system consisting of datasets useful to industry, regulators and the public. The project has been extended and expanded as a ''NATional CARBon Sequestration Database and Geographic Information System (NATCARB)'' to provide national coverage across the Regional CO{sub 2} Partnerships, which currently cover 40 states (http://www.natcarb.org). Advanced distributed computing solutions link database servers across the five states and other publicly accessible servers (e.g., USGS) into a single system where data is maintained and enhanced at the local level but is accessed and assembled through a single Web portal and can be queried, assembled, analyzed and displayed. This project has improved the flow of data across servers and increased the amount and quality of available digital data. The online tools used in the project have improved in stability and speed in order to provide real-time display and analysis of CO{sub 2} sequestration data. The move away from direct database access to web access through eXtensible Markup Language (XML) has increased stability and security while decreasing management overhead. The MIDCARB viewer has been simplified to provide improved display and organization of the more than 125 layers and data tables that have been generated as part of the project. The MIDCARB project is a functional demonstration of distributed management of data systems that cross the boundaries

  9. Search for new phenomena in events with three or more charged leptons in pp collisions at s = 8 $$ \\sqrt{s}=8 $$ TeV with the ATLAS detector

    SciTech Connect

    Aad, G.; Abbott, B.; Abdallah, J.; Abdel Khalek, S.; Abdinov, O.; Aben, R.; Abi, B.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; Abreu, H.; Abreu, R.; Abulaiti, Y.; Acharya, B. S.; Adamczyk, L.; Adams, D. L.; Adelman, J.; Adomeit, S.; Adye, T.; Agatonovic-Jovin, T.; Aguilar-Saavedra, J. A.; Agustoni, M.; Ahlen, S. P.; Ahmadov, F.; Aielli, G.; Akerstedt, H.; Åkesson, T. P. A.; Akimoto, G.; Akimov, A. V.; Alberghi, G. L.; Albert, J.; Albrand, S.; Alconada Verzini, M. J.; Aleksa, M.; Aleksandrov, I. N.; Alexa, C.; Alexander, G.; Alexandre, G.; Alexopoulos, T.; Alhroob, M.; Alimonti, G.; Alio, L.; Alison, J.; Allbrooke, B. M. M.; Allison, L. J.; Allport, P. P.; Aloisio, A.; Alonso, A.; Alonso, F.; Alpigiani, C.; Altheimer, A.; Alvarez Gonzalez, B.; Alviggi, M. G.; Amako, K.; Amaral Coutinho, Y.; Amelung, C.; Amidei, D.; Amor Dos Santos, S. P.; Amorim, A.; Amoroso, S.; Amram, N.; Amundsen, G.; Anastopoulos, C.; Ancu, L. S.; Andari, N.; Andeen, T.; Anders, C. F.; Anders, G.; Anderson, K. J.; Andreazza, A.; Andrei, V.; Anduaga, X. S.; Angelidakis, S.; Angelozzi, I.; Anger, P.; Angerami, A.; Anghinolfi, F.; Anisenkov, A. V.; Anjos, N.; Annovi, A.; Antonelli, M.; Antonov, A.; Antos, J.; Anulli, F.; Aoki, M.; Aperio Bella, L.; Arabidze, G.; Arai, Y.; Araque, J. P.; Arce, A. T. H.; Arduh, F. A.; Arguin, J-F.; Argyropoulos, S.; Arik, M.; Armbruster, A. J.; Arnaez, O.; Arnal, V.; Arnold, H.; Arratia, M.; Arslan, O.; Artamonov, A.; Artoni, G.; Asai, S.; Asbah, N.; Ashkenazi, A.; Åsman, B.; Asquith, L.; Assamagan, K.; Astalos, R.; Atkinson, M.; Atlay, N. B.; Auerbach, B.; Augsten, K.; Aurousseau, M.; Avolio, G.; Axen, B.; Azuelos, G.; Azuma, Y.; Baak, M. A.; Baas, A. E.; Bacci, C.; Bachacou, H.; Bachas, K.; Backes, M.; Backhaus, M.; Badescu, E.; Bagiacchi, P.; Bagnaia, P.; Bai, Y.; Bain, T.; Baines, J. T.; Baker, O. K.; Balek, P.; Balli, F.; Banas, E.; Banerjee, Sw.; Bannoura, A. A. E.; Bansil, H. S.; Barak, L.; Baranov, S. P.; Barberio, E. L.; Barberis, D.; Barbero, M.; Barillari, T.; Barisonzi, M.; Barklow, T.; Barlow, N.; Barnes, S. L.; Barnett, B. M.; Barnett, R. M.; Barnovska, Z.; Baroncelli, A.; Barone, G.; Barr, A. J.; Barreiro, F.; Barreiro Guimarães da Costa, J.; Bartoldus, R.; Barton, A. E.; Bartos, P.; Bartsch, V.; Bassalat, A.; Basye, A.; Bates, R. L.; Batista, S. J.; Batley, J. R.; Battaglia, M.; Battistin, M.; Bauer, F.; Bawa, H. S.; Beacham, J. B.; Beattie, M. D.; Beau, T.; Beauchemin, P. H.; Beccherle, R.; Bechtle, P.; Beck, H. P.; Becker, K.; Becker, S.; Beckingham, M.; Becot, C.; Beddall, A. J.; Beddall, A.; Bedikian, S.; Bednyakov, V. A.; Bee, C. P.; Beemster, L. J.; Beermann, T. A.; Begel, M.; Behr, K.; Belanger-Champagne, C.; Bell, P. J.; Bell, W. H.; Bella, G.; Bellagamba, L.; Bellerive, A.; Bellomo, M.; Belotskiy, K.; Beltramello, O.; Benary, O.; Benchekroun, D.; Bendtz, K.; Benekos, N.; Benhammou, Y.; Benhar Noccioli, E.; Benitez Garcia, J. A.; Benjamin, D. P.; Bensinger, J. R.; Bentvelsen, S.; Berge, D.; Bergeaas Kuutmann, E.; Berger, N.; Berghaus, F.; Beringer, J.; Bernard, C.; Bernard, N. R.; Bernius, C.; Bernlochner, F. U.; Berry, T.; Berta, P.; Bertella, C.; Bertoli, G.; Bertolucci, F.; Bertsche, C.; Bertsche, D.; Besana, M. I.; Besjes, G. J.; Bessidskaia Bylund, O.; Bessner, M.; Besson, N.; Betancourt, C.; Bethke, S.; Bevan, A. J.; Bhimji, W.; Bianchi, R. M.; Bianchini, L.; Bianco, M.; Biebel, O.; Bieniek, S. P.; Bierwagen, K.; Biglietti, M.; Bilbao De Mendizabal, J.; Bilokon, H.; Bindi, M.; Binet, S.; Bingul, A.; Bini, C.; Black, C. W.; Black, J. E.; Black, K. M.; Blackburn, D.; Blair, R. E.; Blanchard, J. -B.; Blazek, T.; Bloch, I.; Blocker, C.; Blum, W.; Blumenschein, U.; Bobbink, G. J.; Bobrovnikov, V. S.; Bocchetta, S. S.; Bocci, A.; Bock, C.; Boddy, C. R.; Boehler, M.; Boek, T. T.; Bogaerts, J. A.; Bogdanchikov, A. G.; Bogouch, A.; Bohm, C.; Boisvert, V.; Bold, T.; Boldea, V.; Boldyrev, A. 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R.; Suzuki, Y.; Svatos, M.; Swedish, S.; Swiatlowski, M.; Sykora, I.; Sykora, T.; Ta, D.; Taccini, C.; Tackmann, K.; Taenzer, J.; Taffard, A.; Tafirout, R.; Taiblum, N.; Takai, H.; Takashima, R.; Takeda, H.; Takeshita, T.; Takubo, Y.; Talby, M.; Talyshev, A. A.; Tam, J. Y. C.; Tan, K. G.; Tanaka, J.; Tanaka, R.; Tanaka, S.; Tanaka, S.; Tanasijczuk, A. J.; Tannenwald, B. B.; Tannoury, N.; Tapprogge, S.; Tarem, S.; Tarrade, F.; Tartarelli, G. F.; Tas, P.; Tasevsky, M.; Tashiro, T.; Tassi, E.; Tavares Delgado, A.; Tayalati, Y.; Taylor, F. E.; Taylor, G. N.; Taylor, W.; Teischinger, F. A.; Teixeira Dias Castanheira, M.; Teixeira-Dias, P.; Temming, K. K.; Ten Kate, H.; Teng, P. K.; Teoh, J. J.; Tepel, F.; Terada, S.; Terashi, K.; Terron, J.; Terzo, S.; Testa, M.; Teuscher, R. J.; Therhaag, J.; Theveneaux-Pelzer, T.; Thomas, J. P.; Thomas-Wilsker, J.; Thompson, E. N.; Thompson, P. D.; Thompson, R. J.; Thompson, A. S.; Thomsen, L. A.; Thomson, E.; Thomson, M.; Thong, W. M.; Thun, R. P.; Tian, F.; Tibbetts, M. J.; Tikhomirov, V. O.; Tikhonov, Yu. A.; Timoshenko, S.; Tiouchichine, E.; Tipton, P.; Tisserant, S.; Todorov, T.; Todorova-Nova, S.; Tojo, J.; Tokár, S.; Tokushuku, K.; Tollefson, K.; Tolley, E.; Tomlinson, L.; Tomoto, M.; Tompkins, L.; Toms, K.; Topilin, N. D.; Torrence, E.; Torres, H.; Torró Pastor, E.; Toth, J.; Touchard, F.; Tovey, D. R.; Tran, H. L.; Trefzger, T.; Tremblet, L.; Tricoli, A.; Trigger, I. M.; Trincaz-Duvoid, S.; Tripiana, M. F.; Trischuk, W.; Trocmé, B.; Troncon, C.; Trottier-McDonald, M.; Trovatelli, M.; True, P.; Trzebinski, M.; Trzupek, A.; Tsarouchas, C.; Tseng, J. C-L.; Tsiareshka, P. V.; Tsionou, D.; Tsipolitis, G.; Tsirintanis, N.; Tsiskaridze, S.; Tsiskaridze, V.; Tskhadadze, E. G.; Tsukerman, I. I.; Tsulaia, V.; Tsuno, S.; Tsybychev, D.; Tudorache, A.; Tudorache, V.; Tuna, A. N.; Tupputi, S. A.; Turchikhin, S.; Turecek, D.; Turk Cakir, I.; Turra, R.; Turvey, A. J.; Tuts, P. M.; Tykhonov, A.; Tylmad, M.; Tyndel, M.; Ueda, I.; Ueno, R.; Ughetto, M.; Ugland, M.; Uhlenbrock, M.; Ukegawa, F.; Unal, G.; Undrus, A.; Unel, G.; Ungaro, F. C.; Unno, Y.; Unverdorben, C.; Urban, J.; Urbaniec, D.; Urquijo, P.; Usai, G.; Usanova, A.; Vacavant, L.; Vacek, V.; Vachon, B.; Valencic, N.; Valentinetti, S.; Valero, A.; Valery, L.; Valkar, S.; Valladolid Gallego, E.; Vallecorsa, S.; Valls Ferrer, J. A.; Van Den Wollenberg, W.; Van Der Deijl, P. C.; van der Geer, R.; van der Graaf, H.; Van Der Leeuw, R.; van der Ster, D.; van Eldik, N.; van Gemmeren, P.; Van Nieuwkoop, J.; van Vulpen, I.; van Woerden, M. C.; Vanadia, M.; Vandelli, W.; Vanguri, R.; Vaniachine, A.; Vankov, P.; Vannucci, F.; Vardanyan, G.; Vari, R.; Varnes, E. W.; Varol, T.; Varouchas, D.; Vartapetian, A.; Varvell, K. E.; Vazeille, F.; Vazquez Schroeder, T.; Veatch, J.; Veloso, F.; Velz, T.; Veneziano, S.; Ventura, A.; Ventura, D.; Venturi, M.; Venturi, N.; Venturini, A.; Vercesi, V.; Verducci, M.; Verkerke, W.; Vermeulen, J. C.; Vest, A.; Vetterli, M. C.; Viazlo, O.; Vichou, I.; Vickey, T.; Vickey Boeriu, O. E.; Viehhauser, G. H. A.; Viel, S.; Vigne, R.; Villa, M.; Villaplana Perez, M.; Vilucchi, E.; Vincter, M. G.; Vinogradov, V. B.; Virzi, J.; Vivarelli, I.; Vives Vaque, F.; Vlachos, S.; Vladoiu, D.; Vlasak, M.; Vogel, A.; Vogel, M.; Vokac, P.; Volpi, G.; Volpi, M.; von der Schmitt, H.; von Radziewski, H.; von Toerne, E.; Vorobel, V.; Vorobev, K.; Vos, M.; Voss, R.; Vossebeld, J. H.; Vranjes, N.; Vranjes Milosavljevic, M.; Vrba, V.; Vreeswijk, M.; Vu Anh, T.; Vuillermet, R.; Vukotic, I.; Vykydal, Z.; Wagner, P.; Wagner, W.; Wahlberg, H.; Wahrmund, S.; Wakabayashi, J.; Walder, J.; Walker, R.; Walkowiak, W.; Wall, R.; Waller, P.; Walsh, B.; Wang, C.; Wang, C.; Wang, F.; Wang, H.; Wang, H.; Wang, J.; Wang, J.; Wang, K.; Wang, R.; Wang, S. M.; Wang, T.; Wang, X.; Wanotayaroj, C.; Warburton, A.; Ward, C. P.; Wardrope, D. R.; Warsinsky, M.; Washbrook, A.; Wasicki, C.; Watkins, P. M.; Watson, A. T.; Watson, I. J.; Watson, M. F.; Watts, G.; Watts, S.; Waugh, B. M.; Webb, S.; Weber, M. S.; Weber, S. W.; Webster, J. S.; Weidberg, A. R.; Weinert, B.; Weingarten, J.; Weiser, C.; Weits, H.; Wells, P. S.; Wenaus, T.; Wendland, D.; Weng, Z.; Wengler, T.; Wenig, S.; Wermes, N.; Werner, M.; Werner, P.; Wessels, M.; Wetter, J.; Whalen, K.; White, A.; White, M. J.; White, R.; White, S.; Whiteson, D.; Wicke, D.; Wickens, F. J.; Wiedenmann, W.; Wielers, M.; Wienemann, P.; Wiglesworth, C.; Wiik-Fuchs, L. A. M.; Wijeratne, P. A.; Wildauer, A.; Wildt, M. A.; Wilkens, H. G.; Williams, H. H.; Williams, S.; Willis, C.; Willocq, S.; Wilson, A.; Wilson, J. A.; Wingerter-Seez, I.; Winklmeier, F.; Winter, B. T.; Wittgen, M.; Wittkowski, J.; Wollstadt, S. J.; Wolter, M. W.; Wolters, H.; Wosiek, B. K.; Wotschack, J.; Woudstra, M. J.; Wozniak, K. W.; Wright, M.; Wu, M.; Wu, S. L.; Wu, X.; Wu, Y.; Wyatt, T. R.; Wynne, B. M.; Xella, S.; Xiao, M.; Xu, D.; Xu, L.; Yabsley, B.; Yacoob, S.; Yakabe, R.; Yamada, M.; Yamaguchi, H.; Yamaguchi, Y.; Yamamoto, A.; Yamamoto, S.; Yamamura, T.; Yamanaka, T.; Yamauchi, K.; Yamazaki, Y.; Yan, Z.; Yang, H.; Yang, H.; Yang, Y.; Yanush, S.; Yao, L.; Yao, W-M.; Yasu, Y.; Yatsenko, E.; Yau Wong, K. H.; Ye, J.; Ye, S.; Yeletskikh, I.; Yen, A. L.; Yildirim, E.; Yilmaz, M.; Yorita, K.; Yoshida, R.; Yoshihara, K.; Young, C.; Young, C. J. S.; Youssef, S.; Yu, D. R.; Yu, J.; Yu, J. M.; Yu, J.; Yuan, L.; Yurkewicz, A.; Yusuff, I.; Zabinski, B.; Zaidan, R.; Zaitsev, A. M.; Zaman, A.; Zambito, S.; Zanello, L.; Zanzi, D.; Zeitnitz, C.; Zeman, M.; Zemla, A.; Zengel, K.; Zenin, O.; Ženiš, T.; Zerwas, D.; Zevi della Porta, G.; Zhang, D.; Zhang, F.; Zhang, H.; Zhang, J.; Zhang, L.; Zhang, R.; Zhang, X.; Zhang, Z.; Zhao, X.; Zhao, Y.; Zhao, Z.; Zhemchugov, A.; Zhong, J.; Zhou, B.; Zhou, C.; Zhou, L.; Zhou, L.; Zhou, N.; Zhu, C. G.; Zhu, H.; Zhu, J.; Zhu, Y.; Zhuang, X.; Zhukov, K.; Zibell, A.; Zieminska, D.; Zimine, N. I.; Zimmermann, C.; Zimmermann, R.; Zimmermann, S.; Zimmermann, S.; Zinonos, Z.; Ziolkowski, M.; Zobernig, G.; Zoccoli, A.; zur Nedden, M.; Zurzolo, G.; Zwalinski, L.

    2015-08-01

    A generic search for anomalous production of events with at least three charged leptons is presented. The data sample consists of pp collisions at √s=8 TeV collected in 2012 by the ATLAS experiment at the CERN Large Hadron Collider, and corresponds to an integrated luminosity of 20.3 fb-1. Events are required to have at least three selected lepton candidates, at least two of which must be electrons or muons, while the third may be a hadronically decaying tau. Selected events are categorized based on their lepton flavour content and signal regions are constructed using several kinematic variables of interest. No significant deviations from Standard Model predictions are observed. Model-independent upper limits on contributions from beyond the Standard Model phenomena are provided for each signal region, along with prescription to re-interpret the limits for any model. Constraints are also placed on models predicting doubly charged Higgs bosons and excited leptons. For doubly charged Higgs bosons decaying to eτ or μτ, lower limits on the mass are set at 400 GeV at 95% confidence level. For excited leptons, constraints are provided as functions of both the mass of the excited state and the compositeness scale Λ, with the strongest mass constraints arising in regions where the mass equals Λ. In such scenarios, lower mass limits are set at 3.0 TeV for excited electrons and muons, 2.5 TeV for excited taus, and 1.6 TeV for every excited-neutrino flavour.

  10. Measurement of total and differential W+W– production cross sections in proton-proton collisions at $$\\sqrt{s}=8 $$ TeV with the ATLAS detector and limits on anomalous triple-gauge-boson couplings

    DOE PAGES [OSTI]

    Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Aben, R.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; Abreu, H.; Abreu, R.; et al

    2016-09-06

    The production of W boson pairs in proton-proton collisions at √s = 8 TeV is studied using data corresponding to 20.3 fb–1 of integrated luminosity collected by the ATLAS detector during 2012 at the CERN Large Hadron Collider. The W bosons are reconstructed using their leptonic decays into electrons or muons and neutrinos. Events with reconstructed jets are not included in the candidate event sample. A total of 6636 WW candidate events are observed. Measurements are performed in fiducial regions closely approximating the detector acceptance. The integrated measurement is corrected for all acceptance effects and for the W branching fractionsmore » to leptons in order to obtain the total WW production cross section, which is found to be 71.1 ± 1.1(stat)–5.0+ 5.7(syst) ± 1.4(lumi) pb. This agrees with the next-to-next-to-leading-order Standard Model prediction of 63.2–1.4+1.6(scale) ± 1.2(PDF) pb. Fiducial differential cross sections are measured as a function of each of six kinematic variables. In conclusion, the distribution of the transverse momentum of the leading lepton is used to set limits on anomalous triple-gauge-boson couplings.« less

  11. Measurement of fiducial differential cross sections of gluon-fusion production of Higgs bosons decaying to WW* → eνμν with the ATLAS detector at $$ \\sqrt{s}=8 $$ TeV

    DOE PAGES [OSTI]

    Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Abeloos, B.; Aben, R.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; Abreu, H.; et al

    2016-08-17

    Here, this paper describes a measurement of fiducial and differential cross sections of gluon-fusion Higgs boson production in the H → WW *→ eνμν channel, using 20.3 fb–1 of proton-proton collision data. The data were produced at a centre-of-mass energy of √s = 8 TeV at the CERN Large Hadron Collider and recorded by the ATLAS detector in 2012. Cross sections are measured from the observed H→ W W*→ eνμν signal yield in categories distinguished by the number of associated jets. The total cross section is measured in a fiducial region defined by the kinematic properties of the charged leptonsmore » and neutrinos. Differential cross sections are reported as a function of the number of jets, the Higgs boson transverse momentum, the dilepton rapidity, and the transverse momentum of the leading jet. The jet-veto efficiency, or fraction of events with no jets above a given transverse momentum threshold, is also reported. All measurements are compared to QCD predictions from Monte Carlo generators and fixed-order calculations, and are in agreement with the Standard Model predictions.« less

  12. Search for new phenomena in final states with an energetic jet and large missing transverse momentum in pp collisions at √s = 8 TeV with the ATLAS detector

    DOE PAGES [OSTI]

    Aad, G.

    2015-07-01

    Results of a search for new phenomena in final states with an energetic jet and large missing transverse momentum are reported. The search uses 20.3 fb-1 of \\(\\sqrt{s{\\mathrm{}}} = 8\\) TeV data collected in 2012 with the ATLAS detector at the LHC. Events are required to have at least one jet with pT>120 GeV and no leptons. Nine signal regions are considered with increasing missing transverse momentum requirements between EmissT>150 GeV and EmissT>700 GeV. Good agreement is observed between the number of events in data and Standard Model expectations. Results are translated into exclusion limits on models with either largemore » extra spatial dimensions, pair production of weakly interacting dark matter candidates, or production of very light gravitinos in a gauge-mediated supersymmetric model. In addition, limits on the production of an invisibly decaying Higgs-like boson leading to similar topologies in the final state are presented.« less

  13. Measurement of jet activity in top quark events using the eμ final state with two b-tagged jets in pp collisions at $$\\sqrt{s}=8 $$ TeV with the ATLAS detector

    DOE PAGES [OSTI]

    Aaboud, M.; Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Abeloos, B.; Aben, R.; AbouZeid, O. S.; Abraham, N. L.; Abramowicz, H.; et al

    2016-09-13

    Measurements of the jet activity in tt¯ events produced in proton-proton collisions at √s=8 TeV are presented, using 20.3 fb–1 of data collected by the ATLAS experiment at the Large Hadron Collider. The events were selected in the dilepton eμ decay channel with two identified b-jets. The numbers of additional jets for various jet transverse momentum (pT) thresholds, and the normalised differential cross-sections as a function of pT for the five highest-pT additional jets, were measured in the jet pseudo-rapidity range |η| < 4.5. The gap fraction, the fraction of events which do not contain an additional jet in amore » central rapidity region, was measured for several rapidity intervals as a function of the minimum pT of a single jet or the scalar sum of pT of all additional jets. These fractions were also measured in different intervals of the invariant mass of the eμbb¯ system. All measurements were corrected for detector effects, and found to be mostly well-described by predictions from next-to-leading-order and leading-order tt¯ event generators with appropriate parameter choices. Lastly, the results can be used to further optimise the parameters used in such generators.« less

  14. Search for new phenomena in final states with an energetic jet and large missing transverse momentum in pp collisions at s=13TeV using the ATLAS detector

    DOE PAGES [OSTI]

    Aaboud, M.; Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Abeloos, B.; Aben, R.; AbouZeid, O. S.; Abraham, N. L.; Abramowicz, H.; et al

    2016-08-22

    Results of a search for new phenomena in final states with an energetic jet and large missing transverse momentum are reported. The search uses proton-proton collision data corresponding to an integrated luminosity of 3.2 fb–1 at √s=13 TeV collected in 2015 with the ATLAS detector at the Large Hadron Collider. Events are required to have at least one jet with a transverse momentum above 250 GeV and no leptons. Several signal regions are considered with increasing missing-transverse-momentum requirements between EmissT > 250 GeV and EmissT > 700 GeV. Good agreement is observed between the number of events in data andmore » Standard Model predictions. Here, the results are translated into exclusion limits in models with large extra spatial dimensions, pair production of weakly interacting dark-matter candidates, and the production of supersymmetric particles in several compressed scenarios.« less

  15. Search for new phenomena in final states with an energetic jet and large missing transverse momentum in pp collisions at √s = 8 TeV with the ATLAS detector

    SciTech Connect

    Aad, G.

    2015-07-01

    Results of a search for new phenomena in final states with an energetic jet and large missing transverse momentum are reported. The search uses 20.3 fb-1 of \\(\\sqrt{s{\\mathrm{}}} = 8\\) TeV data collected in 2012 with the ATLAS detector at the LHC. Events are required to have at least one jet with pT>120 GeV and no leptons. Nine signal regions are considered with increasing missing transverse momentum requirements between EmissT>150 GeV and EmissT>700 GeV. Good agreement is observed between the number of events in data and Standard Model expectations. Results are translated into exclusion limits on models with either large extra spatial dimensions, pair production of weakly interacting dark matter candidates, or production of very light gravitinos in a gauge-mediated supersymmetric model. In addition, limits on the production of an invisibly decaying Higgs-like boson leading to similar topologies in the final state are presented.

  16. Regional Slip Tendency Analysis of the Great Basin Region

    DOE Data Explorer

    Faulds, James E.

    - The resulting along?fault and fault?to?fault variation in slip or dilation potential is a proxy for along fault and fault?to?fault variation in fluid flow conduit potential. Stress Magnitudes and directions were calculated across the entire Great Basin. Stress field variation within each focus area was approximated based on regional published data and the world stress database (Hickman et al., 2000; Hickman et al., 1998 Robertson?Tait et al., 2004; Hickman and Davatzes, 2010; Davatzes and Hickman, 2006; Blake and Davatzes 2011; Blake and Davatzes, 2012; Moeck et al., 2010; Moos and Ronne, 2010 and Reinecker et al., 2005). The minimum horizontal stress direction (Shmin) was contoured, and spatial bins with common Shmin directions were calculated. Based on this technique, we subdivided the Great Basin into nine regions (Shmin <070, 070140). Slip and dilation tendency were calculated using 3DStress for the faults within each region using the mean Shmin for the region. Shmin variation throughout Great Basin are shown on Figure 3. For faults within the Great Basin proper, we applied a normal faulting stress regime, where the vertical stress (sv) is larger than the maximum horizontal stress (shmax), which is larger than the minimum horizontal stress (sv>shmax>shmin). Based on visual inspection of the limited stress magnitude data in the Great Basin, we used magnitudes such that shmin/shmax = .527 and shmin/sv= .46. These values are consistent with stress magnitude data at both Dixie Valley (Hickman et al., 2000) and Yucca Mountain (Stock et al., 1985). For faults within the Walker Lane/Eastern California Shear Zone, we applied a strike?slip faulting stress, where shmax > sv > shmin. Upon visual inspection of limited stress magnitude data from the Walker Lane and Eastern California Shear zone, we chose values such that SHmin/SHmax = .46 and Shmin/Sv= .527

  17. Regional Slip Tendency Analysis of the Great Basin Region

    DOE Data Explorer

    Faulds, James E.

    2013-09-30

    - The resulting along?fault and fault?to?fault variation in slip or dilation potential is a proxy for along fault and fault?to?fault variation in fluid flow conduit potential. Stress Magnitudes and directions were calculated across the entire Great Basin. Stress field variation within each focus area was approximated based on regional published data and the world stress database (Hickman et al., 2000; Hickman et al., 1998 Robertson?Tait et al., 2004; Hickman and Davatzes, 2010; Davatzes and Hickman, 2006; Blake and Davatzes 2011; Blake and Davatzes, 2012; Moeck et al., 2010; Moos and Ronne, 2010 and Reinecker et al., 2005). The minimum horizontal stress direction (Shmin) was contoured, and spatial bins with common Shmin directions were calculated. Based on this technique, we subdivided the Great Basin into nine regions (Shmin <070, 070140). Slip and dilation tendency were calculated using 3DStress for the faults within each region using the mean Shmin for the region. Shmin variation throughout Great Basin are shown on Figure 3. For faults within the Great Basin proper, we applied a normal faulting stress regime, where the vertical stress (sv) is larger than the maximum horizontal stress (shmax), which is larger than the minimum horizontal stress (sv>shmax>shmin). Based on visual inspection of the limited stress magnitude data in the Great Basin, we used magnitudes such that shmin/shmax = .527 and shmin/sv= .46. These values are consistent with stress magnitude data at both Dixie Valley (Hickman et al., 2000) and Yucca Mountain (Stock et al., 1985). For faults within the Walker Lane/Eastern California Shear Zone, we applied a strike?slip faulting stress, where shmax > sv > shmin. Upon visual inspection of limited stress magnitude data from the Walker Lane and Eastern California Shear zone, we chose values such that SHmin/SHmax = .46 and Shmin/Sv= .527

  18. DoE Early Career Research Program: Final Report: Model-Independent Dark-Matter Searches at the ATLAS Experiment and Applications of Many-core Computing to High Energy Physics

    SciTech Connect

    Farbin, Amir

    2015-07-15

    This is the final report of for DoE Early Career Research Program Grant Titled "Model-Independent Dark-Matter Searches at the ATLAS Experiment and Applications of Many-core Computing to High Energy Physics".

  19. Form:GeothermalRegion | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    of a Geothermal Region below. If the region already exists, you will be able to edit its information. AddEdit a Geothermal Region Retrieved from "http:en.openei.orgw...

  20. Search for contact interactions in dimuon events from pp collisions at ?s=7 TeV with the ATLAS detector

    DOE PAGES [OSTI]

    Aad, G.; Abbott, B.; Abdallah, J.; Abdelalim, A. A.; Abdesselam, A.; Abdinov, O.; Abi, B.; Abolins, M.; Abramowicz, H.; Abreu, H.; et al

    2011-07-01

    A search for contact interactions has been performed using dimuon events recorded with the ATLAS detector in proton-proton collisions at ?s=7 TeV. The data sample corresponds to an integrated luminosity of 42 pb?. No significant deviation from the standard model is observed in the dimuon mass spectrum, allowing the following 95% C.L. limits to be set on the energy scale of contact interactions: ?>4.9 TeV (4.5 TeV) for constructive (destructive) interference in the left-left isoscalar compositeness model. These limits are the most stringent to date for ??qq contact interactions.

  1. PROJECT PROFILE: Regional Test Center Operations | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Regional Test Center Operations PROJECT PROFILE: Regional Test Center Operations Funding Opportunity: SuNLaMP SunShot Subprogram: Photovoltaics Location: Sandia National ...

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    Midwest Region About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 20072008 with selected updates Natural Gas Pipelines in the Midwest Region ...

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    Southwest Region About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 20072008 with selected updates Natural Gas Pipelines in the Southwest Region ...

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  8. Cascades Geothermal Region | Open Energy Information

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    Cascades Geothermal Region (Redirected from Cascades) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Cascades Geothermal Region Details Areas (2) Power Plants (0)...

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    Region Larderello Geothermal Area Mount Amiata Geothermal Area Travale-Radicondoli Geothermal Area Energy Generation Facilities within the Italy Geothermal Region Bagnore 3...

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    College Jump to: navigation, search Name Lake Region State College Facility Lake Region State College Sector Wind energy Facility Type Community Wind Facility Status In Service...

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    Unknown Planned Capacity 1 Geothermal Areas within the Transition Zone Geothermal Region Energy Generation Facilities within the Transition Zone Geothermal Region Geothermal Power...

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  5. Mexico Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Geothermal Region Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Mexico Geothermal Region Details Areas (0) Power Plants (0) Projects (0) Techniques (0) References...

  6. Turkey Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Geothermal Region Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Turkey Geothermal Region Details Areas (0) Power Plants (0) Projects (0) Techniques (0) References...

  7. Regional Feedstock Partnership Report | Department of Energy

    Energy.gov [DOE] (indexed site)

    Regional Feedstock Partnership Report The U.S. Department of Energy and the Sun Grant Initiative established the Regional Feedstock Partnership to address information gaps ...

  8. Southeast Regional Carbon Sequestration Partnership

    SciTech Connect

    Kenneth J. Nemeth

    2006-08-30

    The Southeast Regional Carbon Sequestration Partnership's (SECARB) Phase I program focused on promoting the development of a framework and infrastructure necessary for the validation and commercial deployment of carbon sequestration technologies. The SECARB program, and its subsequent phases, directly support the Global Climate Change Initiative's goal of reducing greenhouse gas intensity by 18 percent by the year 2012. Work during the project's two-year period was conducted within a ''Task Responsibility Matrix''. The SECARB team was successful in accomplishing its tasks to define the geographic boundaries of the region; characterize the region; identify and address issues for technology deployment; develop public involvement and education mechanisms; identify the most promising capture, sequestration, and transport options; and prepare action plans for implementation and technology validation activity. Milestones accomplished during Phase I of the project are listed below: (1) Completed preliminary identification of geographic boundaries for the study (FY04, Quarter 1); (2) Completed initial inventory of major sources and sinks for the region (FY04, Quarter 2); (3) Completed initial development of plans for GIS (FY04, Quarter 3); (4) Completed preliminary action plan and assessment for overcoming public perception issues (FY04, Quarter 4); (5) Assessed safety, regulatory and permitting issues (FY05, Quarter 1); (6) Finalized inventory of major sources/sinks and refined GIS algorithms (FY05, Quarter 2); (7) Refined public involvement and education mechanisms in support of technology development options (FY05, Quarter 3); and (8) Identified the most promising capture, sequestration and transport options and prepared action plans (FY05, Quarter 4).

  9. Development of COTS ADC SEE Test System for the ATLAS LArCalorimeter Upgrade

    DOE PAGES [OSTI]

    Hu, Xue -Ye; Chen, Hu -Cheng; Chen, Kai; Mead, Joseph; Liu, Shu -Bin; An, Qi

    2014-12-01

    Radiation-tolerant, high speed, high density and low power commercial off-the-shelf (COTS) analog-to-digital converters (ADCs) are planned to be used in the upgrade to the Liquid Argon (LAr) calorimeter front end (FE) trigger readout electronics. Total ionization dose (TID) and single event effect (SEE) are two important radiation effects which need to be characterized on COTS ADCs. In our initial TID test, Texas Instruments (TI) ADS5272 was identified to be the top performer after screening a total 17 COTS ADCs from different manufacturers with dynamic range and sampling rate meeting the requirements of the FE electronics. Another interesting feature of ADS5272more » is its 6.5 clock cycles latency, which is the shortest among the 17 candidates. Based on the TID performance, we have designed a SEE evaluation system for ADS5272, which allows us to further assess its radiation tolerance. In this paper, we present a detailed design of ADS5272 SEE evaluation system and show the effectiveness of this system while evaluating ADS5272 SEE characteristics in multiple irradiation tests. According to TID and SEE test results, ADS5272 was chosen to be implemented in the full-size LAr Trigger Digitizer Board (LTDB) demonstrator, which will be installed on ATLAS calorimeter during the 2014 Long Shutdown 1 (LS1).« less

  10. A new ATLAS muon CSC readout system with system on chip technology on ATCA platform

    DOE PAGES [OSTI]

    Bartoldus, R.; Claus, R.; Garelli, N.; Herbst, R. T.; Huffer, M.; Iakovidis, G.; Iordanidou, K.; Kwan, K.; Kocian, M.; Lankford, A. J.; et al

    2016-01-25

    The ATLAS muon Cathode Strip Chamber (CSC) backend readout system has been upgraded during the LHC 2013-2015 shutdown to be able to handle the higher Level-1 trigger rate of 100 kHz and the higher occupancy at Run-2 luminosity. The readout design is based on the Reconfigurable Cluster Element (RCE) concept for high bandwidth generic DAQ implemented on the Advanced Telecommunication Computing Architecture (ATCA) platform. The RCE design is based on the new System on Chip XILINX ZYNQ series with a processor-centric architecture with ARM processor embedded in FPGA fabric and high speed I/O resources. Together with auxiliary memories, all ofmore » these components form a versatile DAQ building block that can host applications tapping into both software and firmware resources. The Cluster on Board (COB) ATCA carrier hosts RCE mezzanines and an embedded Fulcrum network switch to form an online DAQ processing cluster. More compact firmware solutions on the ZYNQ for high speed input and output fiberoptic links and TTC allowed the full system of 320 input links from the 32 chambers to be processed by 6 COBs in one ATCA shelf. The full system was installed in September 2014. In conclusion, we will present the RCE/COB design concept, the firmware and software processing architecture, and the experience from the intense commissioning for LHC Run 2.« less

  11. Measurements of the W production cross sections in association with jets with the ATLAS detector

    DOE PAGES [OSTI]

    Aad, G.

    2015-02-19

    This paper presents cross sections for the production of a W boson in association with jets, measured in proton–proton collisions at \\(\\sqrt{s} = 7\\) TeV with the ATLAS experiment at the large hadron collider. With an integrated luminosity of 4.6fb-1, this data set allows for an exploration of a large kinematic range, including jet production up to a transverse momentum of 1TeV and multiplicities up to seven associated jets. The production cross sections for W bosons are measured in both the electron and muon decay channels. Differential cross sections for many observables are also presented including measurements of the jetmore » observables such as the rapidities and the transverse momenta as well as measurements of event observables such as the scalar sums of the transverse momenta of the jets. As a result, the measurements are compared to numerous QCD predictions including next-to-leading-order perturbative calculations, resummation calculations and Monte Carlo generators.« less

  12. Searching for New Physics with Top Quarks and Upgrade to the Muon Spectrometer at ATLAS

    SciTech Connect

    Schwarz, Thomas Andrew

    2015-06-29

    Over the funding period of this award, my research has focused on searching for new physics with top quarks and in the Higgs sector. The highly energetic top quark events at the LHC are an excellent venue to search for new physics, as well as make standard model measurements. Further, the recent discovery of the Higgs boson motivates searching for new physics that could be associated with it. This one-year award has facilitated the beginning of my research program, which has resulted in four publications, several conference talks, and multiple leadership positions within physics groups. Additionally, we are contributing to ATLAS upgrades and operations. As part of the Phase I upgrade, I have taken on the responsibility of the design, prototyping, and quality control of a signal packet router for the trigger electronics of the New Small Wheel. This is a critical component of the upgrade, as the router is the main switchboard for all trigger signals to track finding processors. I am also leading the Phase II upgrade of the readout electronics of the muon spectrometer, and have been selected as the USATLAS Level-2 manager of the Phase II upgrade of the muon spectrometer. The award has been critical in these contributions to the experiment.

  13. Evidence for the Higgs-boson Yukawa coupling to tau leptons with the ATLAS detector

    SciTech Connect

    Aad, G.

    2015-04-21

    Results of a search for H → ττ decays are presented, based on the full set of proton-proton collision data recorded by the ATLAS experiment at the LHC during 2011 and 2012. The data correspond to integrated luminosities of 4.5 fb–1 and 20.3 fb–1 at centre-of-mass energies of √s=7 TeV and √s=8 TeV respectively. All combinations of leptonic (τ → ℓνν¯ with ℓ = e, μ) and hadronic (τ → hadrons ν) tau decays are considered. An excess of events over the expected background from other Standard Model processes is found with an observed (expected) significance of 4.5 (3.4) standard deviations. This excess provides evidence for the direct coupling of the recently discovered Higgs boson to fermions. The measured signal strength, normalized to the Standard Model expectation, of μ = 1.43–0.37+0.43 is consistent with the predicted Yukawa coupling strength in the Standard Model.

  14. Evidence for the Higgs-boson Yukawa coupling to tau leptons with the ATLAS detector

    DOE PAGES [OSTI]

    Aad, G.

    2015-04-21

    Results of a search for H → ττ decays are presented, based on the full set of proton-proton collision data recorded by the ATLAS experiment at the LHC during 2011 and 2012. The data correspond to integrated luminosities of 4.5 fb–1 and 20.3 fb–1 at centre-of-mass energies of √s=7 TeV and √s=8 TeV respectively. All combinations of leptonic (τ → ℓνν¯ with ℓ = e, μ) and hadronic (τ → hadrons ν) tau decays are considered. An excess of events over the expected background from other Standard Model processes is found with an observed (expected) significance of 4.5 (3.4) standardmore » deviations. This excess provides evidence for the direct coupling of the recently discovered Higgs boson to fermions. The measured signal strength, normalized to the Standard Model expectation, of μ = 1.43–0.37+0.43 is consistent with the predicted Yukawa coupling strength in the Standard Model.« less

  15. Observation of an Excited Bc± Meson State with the ATLAS Detector

    DOE PAGES [OSTI]

    Aad, G.; Abbott, B.; Abdallah, J.; Abdel Khalek, S.; Abdinov, O.; Aben, R.; Abi, B.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; et al

    2014-11-21

    We perform a search for excited states of the B±c meson using 4.9 fb-1 of 7 TeV and 19.2 fb-1 of 8 TeV pp collision data collected by the ATLAS experiment at the LHC. A new state is observed through its hadronic transition to the ground state, with the latter detected in the decay B±c →J/ψπ±. The state appears in the m(B±c π+π₋)₋m(B±c )₋2m(π±) mass difference distribution with a significance of 5.2 standard deviations. The mass of the observed state is 6842±4±5 MeV, where the first error is statistical and the second is systematic. The mass and decay of thismore » state are consistent with expectations for the second S-wave state of the B±c meson, B±c (2S).« less

  16. A New ATLAS Muon CSC Readout System with System on Chip Technology on ATCA Platform

    DOE PAGES [OSTI]

    Claus, R.; /SLAC

    2015-10-27

    The ATLAS muon Cathode Strip Chamber (CSC) back-end readout system has been upgraded during the LHC 2013-2015 shutdown to be able to handle the higher Level-1 trigger rate of 100 kHz and the higher occupancy at Run 2 luminosity. The readout design is based on the Reconfiguration Cluster Element (RCE) concept for high bandwidth generic DAQ implemented on the ATCA platform. The RCE design is based on the new System on Chip Xilinx Zynq series with a processor-centric architecture with ARM processor embedded in FPGA fabric and high speed I/O resources together with auxiliary memories to form a versatile DAQmore » building block that can host applications tapping into both software and firmware resources. The Cluster on Board (COB) ATCA carrier hosts RCE mezzanines and an embedded Fulcrum network switch to form an online DAQ processing cluster. More compact firmware solutions on the Zynq for G-link, S-link and TTC allowed the full system of 320 G-links from the 32 chambers to be processed by 6 COBs in one ATCA shelf through software waveform feature extraction to output 32 S-links. The full system was installed in Sept. 2014. We will present the RCE/COB design concept, the firmware and software processing architecture, and the experience from the intense commissioning towards LHC Run 2.« less

  17. Development of COTS ADC SEE Test System for the ATLAS LArCalorimeter Upgrade

    SciTech Connect

    Hu, Xue -Ye; Chen, Hu -Cheng; Chen, Kai; Mead, Joseph; Liu, Shu -Bin; An, Qi

    2014-12-01

    Radiation-tolerant, high speed, high density and low power commercial off-the-shelf (COTS) analog-to-digital converters (ADCs) are planned to be used in the upgrade to the Liquid Argon (LAr) calorimeter front end (FE) trigger readout electronics. Total ionization dose (TID) and single event effect (SEE) are two important radiation effects which need to be characterized on COTS ADCs. In our initial TID test, Texas Instruments (TI) ADS5272 was identified to be the top performer after screening a total 17 COTS ADCs from different manufacturers with dynamic range and sampling rate meeting the requirements of the FE electronics. Another interesting feature of ADS5272 is its 6.5 clock cycles latency, which is the shortest among the 17 candidates. Based on the TID performance, we have designed a SEE evaluation system for ADS5272, which allows us to further assess its radiation tolerance. In this paper, we present a detailed design of ADS5272 SEE evaluation system and show the effectiveness of this system while evaluating ADS5272 SEE characteristics in multiple irradiation tests. According to TID and SEE test results, ADS5272 was chosen to be implemented in the full-size LAr Trigger Digitizer Board (LTDB) demonstrator, which will be installed on ATLAS calorimeter during the 2014 Long Shutdown 1 (LS1).

  18. Developing a Regional Recovery Framework

    SciTech Connect

    Lesperance, Ann M.; Olson, Jarrod; Stein, Steven L.; Clark, Rebecca; Kelly, Heather; Sheline, Jim; Tietje, Grant; Williamson, Mark; Woodcock, Jody

    2011-09-01

    Abstract A biological attack would present an unprecedented challenge for local, state, and federal agencies; the military; the private sector; and individuals on many fronts ranging from vaccination and treatment to prioritization of cleanup actions to waste disposal. To prepare the Seattle region to recover from a biological attack, the Seattle Urban Area Security Initiative (UASI) partners collaborated with military and federal agencies to develop a Regional Recovery Framework for a Biological Attack in the Seattle Urban Area. The goal was to reduce the time and resources required to recover and restore wide urban areas, military installations, and other critical infrastructure following a biological incident by providing a coordinated systems approach. Based on discussions in small workshops, tabletop exercises, and interviews with emergency response agency staff, the partners identified concepts of operation for various areas to address critical issues the region will face as recovery progresses. Key to this recovery is the recovery of the economy. Although the Framework is specific to a catastrophic, wide-area biological attack using anthrax, it was designed to be flexible and scalable so it could also serve as the recovery framework for an all-hazards approach. The Framework also served to coalesce policy questions that must be addressed for long-term recovery. These questions cover such areas as safety and health, security, financial management, waste management, legal issues, and economic development.

  19. Regional Slip Tendency Analysis of the Great Basin Region

    DOE Data Explorer

    Faulds, James E.

    2013-09-30

    Slip and dilation tendency on the Great Basin fault surfaces (from the USGS Quaternary Fault Database) were calculated using 3DStress (software produced by Southwest Research Institute). Slip and dilation tendency are both unitless ratios of the resolved stresses applied to the fault plane by the measured ambient stress field. - Values range from a maximum of 1 (a fault plane ideally oriented to slip or dilate under ambient stress conditions) to zero (a fault plane with no potential to slip or dilate). - Slip and dilation tendency values were calculated for each fault in the Great Basin. As dip is unknown for many faults in the USGS Quaternary Fault Database, we made these calculations using the dip for each fault that would yield the maximum slip or dilation tendency. As such, these results should be viewed as maximum slip and dilation tendency. - The resulting along‐fault and fault‐to‐fault variation in slip or dilation potential is a proxy for along fault and fault‐to‐fault variation in fluid flow conduit potential. Stress Magnitudes and directions were calculated across the entire Great Basin. Stress field variation within each focus area was approximated based on regional published data and the world stress database (Hickman et al., 2000; Hickman et al., 1998 Robertson‐Tait et al., 2004; Hickman and Davatzes, 2010; Davatzes and Hickman, 2006; Blake and Davatzes 2011; Blake and Davatzes, 2012; Moeck et al., 2010; Moos and Ronne, 2010 and Reinecker et al., 2005). The minimum horizontal stress direction (Shmin) was contoured, and spatial bins with common Shmin directions were calculated. Based on this technique, we subdivided the Great Basin into nine regions (Shmin <070, 070140). Slip and dilation tendency were calculated using 3DStress for the faults within each region using the mean Shmin for the region. Shmin variation throughout Great Basin

  20. Hydrogen Regional Infrastructure Program in Pennsylvania

    Office of Energy Efficiency and Renewable Energy (EERE)

    Hydrogen Regional Infrastructure Program in Pennsylvania. Objectives: Capture data pertinent to H2 delivery in PA

  1. Modelling Z→TT processes in ATLAS with T-embedded Z →μμ data

    DOE PAGES [OSTI]

    Aad, G.

    2015-09-15

    We describe the concept, technical realisation and validation of a largely data-driven method to model events with Z→ττ decays. In Z→μμ events selected from proton-proton collision data recorded at √s=8 TeV with the ATLAS experiment at the LHC in 2012, the Z decay muons are replaced by τ leptons from simulated Z →ττ decays at the level of reconstructed tracks and calorimeter cells. The τ lepton kinematics are derived from the kinematics of the original muons. Thus, only the well-understood decays of the Z boson and τ leptons as well as the detector response to the τ decay products aremore » obtained from simulation. All other aspects of the event, such as the Z boson and jet kinematics as well as effects from multiple interactions, are given by the actual data. This so-called τ-embedding method is particularly relevant for Higgs boson searches and analyses in ττ final states, where Z→ττ decays constitute a large irreducible background that cannot be obtained directly from data control samples. In this paper, we discuss the relevant concepts based on the implementation used in the ATLAS Standard Model H→ττ analysis of the full datataset recorded during 2011 and 2012.« less

  2. Searches for scalar leptoquarks in pp collisions at √s = 8 TeV with the ATLAS detector

    DOE PAGES [OSTI]

    Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Aben, R.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; Abreu, H.; Abreu, R.; et al

    2016-01-05

    In this study, searches for pair-produced scalar leptoquarks are performed using 20 fb-1 of proton–proton collision data provided by the LHC and recorded by the ATLAS detector at √s = 8 TeV. Events with two electrons (muons) and two or more jets in the final state are used to search for first (second)-generation leptoquarks. The results from two previously published ATLAS analyses are interpreted in terms of third-generation leptoquarks decaying to bντb¯ν¯τ and tντt¯ν¯τ final states. No statistically significant excess above the Standard Model expectation is observed in any channel and scalar leptoquarks are excluded at 95 % CL withmore » masses up to mLQ1 < 1050 GeV for first-generation leptoquarks, mLQ2 < 1000 GeV for second-generation leptoquarks, mLQ3 < 625 GeV for third-generation leptoquarks in the bντb¯ν¯τ channel, and 200 mLQ3 < 640 GeV in the tντt¯ν¯τ.« less

  3. Search for scalar leptoquarks in pp collisions at $$\\sqrt{s}$$ = 13 TeV with the ATLAS experiment

    DOE PAGES [OSTI]

    Aaboud, M.; Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Abeloos, B.; Aben, R.; AbouZeid, O. S.; Abraham, N. L.; Abramowicz, H.; et al

    2016-09-07

    An inclusive search for a new-physics signature of lepton-jet resonances has been performed by the ATLAS experiment. Scalar leptoquarks, pair-produced in pp collisions atmore » $$\\sqrt{s}$$ = 13 TeV at the large hadron collider, have been considered. An integrated luminosity of 3.2 fb–1, corresponding to the full 2015 dataset was used. First (second) generation leptoquarks were sought in events with two electrons (muons) and two or more jets. The observed event yield in each channel is consistent with Standard Model background expectations. The observed (expected) lower limits on the leptoquark mass at 95% confidence level are 1100 and 1050 GeV (1160 and 1040 GeV) for first and second generation leptoquarks, respectively, assuming a branching ratio into a charged lepton and a quark of 100%. Upper limits on the aforementioned branching ratio are also given as a function of leptoquark mass. In conclusion, compared with the results of earlier ATLAS searches, the sensitivity is increased for leptoquark masses above 860 GeV, and the observed exclusion limits confirm and extend the published results.« less

  4. WINDExchange: Wind Energy Regional Resource Centers

    WindExchange

    Deployment Activities Printable Version Bookmark and Share Regional Resource Centers About Economic Development Siting Wind Energy Regional Resource Centers The U.S. Department of Energy's Regional Resource Centers provide unbiased wind energy information to communities and decision makers to help them evaluate wind energy potential and learn about wind power's benefits and impacts in their regions. During their first year of operations, the Regional Resource Centers impacted more than 12,000

  5. Regional solid waste management study

    SciTech Connect

    Not Available

    1992-09-01

    In 1990, the Lower Savannah Council of Governments (LSCOG) began dialogue with the United States Department of Energy (DOE) regarding possibilities for cooperation and coordination of solid waste management practices among the local governments and the Savannah River Site. The Department of Energy eventually awarded a grant to the Lower Savannah Council of Governments for the development of a study, which was initiated on March 5, 1992. After careful analysis of the region`s solid waste needs, this study indicates a network approach to solid waste management to be the most viable. The network involves the following major components: (1) Rural Collection Centers, designed to provide convenience to rural citizens, while allowing some degree of participation in recycling; (2) Rural Drop-Off Centers, designed to give a greater level of education and recycling activity; (3) Inert landfills and composting centers, designed to reduce volumes going into municipal (Subtitle D) landfills and produce useable products from yard waste; (4) Transfer Stations, ultimate landfill disposal; (5) Materials Recovery Facilities, designed to separate recyclables into useable and sellable units, and (6) Subtitle D landfill for burial of all solid waste not treated through previous means.

  6. Jet energy measurement and its systematic uncertainty in proton–proton collisions at √s = 7 TeV with the ATLAS detector

    SciTech Connect

    Aad, G.

    2015-01-15

    The jet energy scale (JES) and its systematic uncertainty are determined for jets measured with the ATLAS detector using proton–proton collision data with a centre-of-mass energy of \\(\\sqrt{s}=7\\) TeV corresponding to an integrated luminosity of \\(4.7\\) \\(\\,\\,\\text{ fb }^{-1}\\). Jets are reconstructed from energy deposits forming topological clusters of calorimeter cells using the anti-\\(k_{t}\\) algorithm with distance parameters \\(R=0.4\\) or \\(R=0.6\\), and are calibrated using MC simulations. A residual JES correction is applied to account for differences between data and MC simulations. This correction and its systematic uncertainty are estimated using a combination of in situ techniques exploiting the transverse momentum balance between a jet and a reference object such as a photon or a \\(Z\\) boson, for \\({20} \\le p_{\\mathrm {T}}^\\mathrm {jet}<{1000}\\, ~\\mathrm{GeV }\\) and pseudorapidities \\(|\\eta |<{4.5}\\). The effect of multiple proton–proton interactions is corrected for, and an uncertainty is evaluated using in situ techniques. The smallest JES uncertainty of less than 1 % is found in the central calorimeter region (\\(|\\eta |<{1.2}\\)) for jets with \\({55} \\le p_{\\mathrm {T}}^\\mathrm {jet}<{500}\\, ~\\mathrm{GeV }\\). For central jets at lower \\(p_{\\mathrm {T}}\\), the uncertainty is about 3 %. A consistent JES estimate is found using measurements of the calorimeter response of single hadrons in proton–proton collisions and test-beam data, which also provide the estimate for \\(p_{\\mathrm {T}}^\\mathrm {jet}> 1\\) TeV. The calibration of forward jets is derived from dijet \\(p_{\\mathrm {T}}\\) balance measurements. The resulting uncertainty reaches its largest value of 6 % for low-\\(p_{\\mathrm {T}}\\) jets at \\(|\\eta |=4.5\\). In addition, JES uncertainties due to specific event topologies, such as close-by jets or selections of event samples with an enhanced content of jets originating from light quarks or

  7. Jet energy measurement and its systematic uncertainty in proton–proton collisions at √s = 7 TeV with the ATLAS detector

    DOE PAGES [OSTI]

    Aad, G.

    2015-01-15

    The jet energy scale (JES) and its systematic uncertainty are determined for jets measured with the ATLAS detector using proton–proton collision data with a centre-of-mass energy of \\(\\sqrt{s}=7\\) TeV corresponding to an integrated luminosity of \\(4.7\\) \\(\\,\\,\\text{ fb }^{-1}\\). Jets are reconstructed from energy deposits forming topological clusters of calorimeter cells using the anti-\\(k_{t}\\) algorithm with distance parameters \\(R=0.4\\) or \\(R=0.6\\), and are calibrated using MC simulations. A residual JES correction is applied to account for differences between data and MC simulations. This correction and its systematic uncertainty are estimated using a combination of in situ techniques exploiting the transversemore » momentum balance between a jet and a reference object such as a photon or a \\(Z\\) boson, for \\({20} \\le p_{\\mathrm {T}}^\\mathrm {jet}<{1000}\\, ~\\mathrm{GeV }\\) and pseudorapidities \\(|\\eta |<{4.5}\\). The effect of multiple proton–proton interactions is corrected for, and an uncertainty is evaluated using in situ techniques. The smallest JES uncertainty of less than 1 % is found in the central calorimeter region (\\(|\\eta |<{1.2}\\)) for jets with \\({55} \\le p_{\\mathrm {T}}^\\mathrm {jet}<{500}\\, ~\\mathrm{GeV }\\). For central jets at lower \\(p_{\\mathrm {T}}\\), the uncertainty is about 3 %. A consistent JES estimate is found using measurements of the calorimeter response of single hadrons in proton–proton collisions and test-beam data, which also provide the estimate for \\(p_{\\mathrm {T}}^\\mathrm {jet}> 1\\) TeV. The calibration of forward jets is derived from dijet \\(p_{\\mathrm {T}}\\) balance measurements. The resulting uncertainty reaches its largest value of 6 % for low-\\(p_{\\mathrm {T}}\\) jets at \\(|\\eta |=4.5\\). In addition, JES uncertainties due to specific event topologies, such as close-by jets or selections of event samples with an enhanced content of jets originating from light

  8. Atlas of Atomic Spectral Lines of Neptunium Emitted by Inductively Coupled Plasma

    SciTech Connect

    DeKalb, E.L. and Edelson, M. C.

    1987-08-01

    Optical emission spectra from high-purity Np-237 were generated with a glovebox-enclosed inductively coupled plasma (ICP) source. Spectra covering the 230-700 nm wavelength range are presented along with general commentary on the methodology used in collecting the data. The Ames Laboratory Nuclear Safeguards and Security Program has been charged with the task of developing optical spectroscopic methods to analyze the composition of spent nuclear fuels. Such materials are highly radioactive even after prolonged 'cooling' and are chemically complex. Neptunium (Np) is a highly toxic by-product of nuclear power generation and is found, in low abundance, in spent nuclear fuels. This atlas of the optical emission spectrum of Np, as produced by an inductively coupled plasma (ICP) spectroscopic source, is part of a general survey of the ICP emission spectra of the actinide elements. The ICP emission spectrum of the actinides originates almost exclusively from the electronic relaxation of excited, singly ionized species. Spectral data on the Np ion emission spectrum (i.e., the Np II spectrum) have been reported by Tomkins and Fred [1] and Haaland [2]. Tomkins and Fred excited the Np II spectrum with a Cu spark discharge and identified 114 Np lines in the 265.5 - 436.3 nm spectral range. Haaland, who corrected some spectral line misidentifications in the work of Tomkins and Fred, utilized an enclosed Au spark discharge to excite the Np II spectrum and reported 203 Np lines within the 265.4 - 461.0 nm wavelength range.

  9. Constraints on new phenomena via Higgs boson couplings and invisible decays with the ATLAS detector

    DOE PAGES [OSTI]

    Aad, G.

    2015-11-30

    The ATLAS experiment at the LHC has measured the Higgs boson couplings and mass, and searched for invisible Higgs boson decays, using multiple production and decay channels with up to 4.7 fb-1 of pp collision data at √s=7 TeV and 20.3 fb-1 at √s=8 TeV. In the current study, the measured production and decay rates of the observed Higgs boson in the γγ, ZZ, W W , Zγ, bb, τ τ , and μμ decay channels, along with results from the associated production of a Higgs boson with a top-quark pair, are used to probe the scaling of the couplingsmore » with mass. The limits are set on parameters in extensions of the Standard Model including a composite Higgs boson, an additional electroweak singlet, and two-Higgs-doublet models. Together with the measured mass of the scalar Higgs boson in the γγ and ZZ decay modes, a lower limit is set on the pseudoscalar Higgs boson mass of mA > 370 GeV in the “hMSSM” simplified Minimal Supersymmetric Standard Model. Results from direct searches for heavy Higgs bosons are also interpreted in the hMSSM. Finally, direct searches for invisible Higgs boson decays in the vector-boson fusion and associated production of a Higgs boson with W/Z (Z → ℓℓ, W/Z → jj) modes are statistically combined to set an upper limit on the Higgs boson invisible branching ratio of 0.25. As a result, the use of the measured visible decay rates in a more general coupling fit improves the upper limit to 0.23, constraining a Higgs portal model of dark matter.« less

  10. Constraints on new phenomena via Higgs boson couplings and invisible decays with the ATLAS detector

    SciTech Connect

    Aad, G.

    2015-11-30

    The ATLAS experiment at the LHC has measured the Higgs boson couplings and mass, and searched for invisible Higgs boson decays, using multiple production and decay channels with up to 4.7 fb-1 of pp collision data at √s=7 TeV and 20.3 fb-1 at √s=8 TeV. In the current study, the measured production and decay rates of the observed Higgs boson in the γγ, ZZ, W W , Zγ, bb, τ τ , and μμ decay channels, along with results from the associated production of a Higgs boson with a top-quark pair, are used to probe the scaling of the couplings with mass. The limits are set on parameters in extensions of the Standard Model including a composite Higgs boson, an additional electroweak singlet, and two-Higgs-doublet models. Together with the measured mass of the scalar Higgs boson in the γγ and ZZ decay modes, a lower limit is set on the pseudoscalar Higgs boson mass of mA > 370 GeV in the “hMSSM” simplified Minimal Supersymmetric Standard Model. Results from direct searches for heavy Higgs bosons are also interpreted in the hMSSM. Finally, direct searches for invisible Higgs boson decays in the vector-boson fusion and associated production of a Higgs boson with W/Z (Z → ℓℓ, W/Z → jj) modes are statistically combined to set an upper limit on the Higgs boson invisible branching ratio of 0.25. As a result, the use of the measured visible decay rates in a more general coupling fit improves the upper limit to 0.23, constraining a Higgs portal model of dark matter.

  11. An on-line acoustic fluorocarbon coolant mixture analyzer for the ATLAS silicon tracker

    SciTech Connect

    Bates, R.; Battistin, M.; Berry, S.; Bitadze, A.; Bonneau, P.; Bousson, N.; Boyd, G.; Botelho-Direito, J.; DiGirolamo, B.; Doubek, M.; Egorov, K.; Godlewski, J.; Hallewell, G.; Katunin, S.; Mathieu, M.; McMahon, S.; Nagai, K.; Perez-Rodriguez, E.; Rozanov, A.; Vacek, V.; Vitek, M.

    2011-07-01

    The ATLAS silicon tracker community foresees an upgrade from the present octafluoro-propane (C{sub 3}F{sub 8}) evaporative cooling fluid - to a composite fluid with a probable 10-20% admixture of hexafluoro-ethane (C{sub 2}F{sub 6}). Such a fluid will allow a lower evaporation temperature and will afford the tracker silicon substrates a better safety margin against leakage current-induced thermal runaway caused by cumulative radiation damage as the luminosity profile at the CERN Large Hadron Collider increases. Central to the use of this new fluid is a new custom-developed speed-of-sound instrument for continuous real-time measurement of the C{sub 3}F{sub 8}/C{sub 2}F{sub 6} mixture ratio and flow. An acoustic vapour mixture analyzer/flow meter with new custom electronics allowing ultrasonic frequency transmission through gas mixtures has been developed for this application. Synchronous with the emission of an ultrasound 'chirp' from an acoustic transmitter, a fast readout clock (40 MHz) is started. The clock is stopped on receipt of an above threshold sound pulse at the receiver. Sound is alternately transmitted parallel and anti-parallel with the vapour flow for volume flow measurement from transducers that can serve as acoustic transmitters or receivers. In the development version, continuous real-time measurement of C{sub 3}F{sub 8}/C{sub 2}F{sub 6} flow and calculation of the mixture ratio is performed within a graphical user interface developed in PVSS-II, the Supervisory, Control and Data Acquisition standard chosen for LHC and its experiments at CERN. The described instrument has numerous potential applications - including refrigerant leak detection, the analysis of hydrocarbons, vapour mixtures for semiconductor manufacture and anesthetic gas mixtures. (authors)

  12. Eastern Woodlands Training and Regional Meeting

    Energy.gov [DOE]

    The Native Learning Center and the Seminole Tribe of Florida is pleased to announce the 2016 Eastern Woodlands ONAP Training and Regional Meeting designed to address tribal housing needs identified throughout the Eastern Woodlands region.

  13. DC High School Science Bowl Regionals

    Energy.gov [DOE]

    This event is the Washington, D.C. High School Regional competition for the US National Science Bowl. The regional competition is run by the Office of Economic Impact and Diversity, and the...

  14. National Strategy for the Arctic Region

    Energy.gov [DOE]

    The National Strategy for the Arctic Region (NSAR) outlines strategic priorities intended to position the United States to respond effectively to emerging opportunities in the region, while...

  15. State and Regional Hydrogen Initiatives Meeting, Challenges for...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    and Regional Hydrogen Initiatives Meeting, Challenges for State and Regional Hydrogen Initiatives State and Regional Hydrogen Initiatives Meeting, Challenges for State and Regional ...

  16. Diode having trenches in a semiconductor region

    DOEpatents

    Palacios, Tomas Apostol; Lu, Bin; Matioli, Elison de Nazareth

    2016-03-22

    An electrode structure is described in which conductive regions are recessed into a semiconductor region. Trenches may be formed in a semiconductor region, such that conductive regions can be formed in the trenches. The electrode structure may be used in semiconductor devices such as field effect transistors or diodes. Nitride-based power semiconductor devices are described including such an electrode structure, which can reduce leakage current and otherwise improve performance.

  17. Community Programs Office supports regional education

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Community Programs Office supports regional education Community Connections: Your link to news and opportunities from Los Alamos National Laboratory Latest Issue:November 2, 2016 all issues All Issues » submit Community Programs Office supports regional education New programs strengthen teachers' math and science teaching skills September 1, 2013 Teachers from the region attended a half-day workshop to improve their science-teaching skills Teachers from the region attended a half-day workshop

  18. Enforcement Policy: Regional Standards Enforcement and Distributors |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Enforcement and Distributors Enforcement Policy: Regional Standards Enforcement and Distributors Issued April 24, 2014 DOE has initiated a rulemaking to consider possible approaches to enforcing regional standards for residential central air conditioners and heat pumps. DOE will not assert civil penalty authority over distributors for violation of the regional standard for central air conditioners. Enforcement Policy: Regional Standards Enforcement and Distributors (3.55

  19. 2015 Alaska Regional Energy Workshops Flier

    Energy.gov [DOE]

    Learn about the three Alaska Regional Energy Workshops that the DOE Office of Indian Energy is presenting in March 2015.

  20. State & Regional Resources | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Pacific Regional Biomass Energy Program Dave Sjoding Renewable Resources Specialist 925 ... Alabama, Arkansas, District of Columbia, Florida, Georgia, Kentucky, Louisiana, ...

  1. Regional Transportation Simulation Tool for Emergency Planning

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    rtstep-diag TRACC RESEARCH Computational Fluid Dynamics Computational Structural Mechanics Transportation Systems Modeling Regional Transportation Simulation Tool for Emergency ...

  2. Ch 19 Cumulative Impacts FN East Region

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    ... impacts for resource areas on a regional basis for unknown deployment activities ... Infrastructure + Soils Geology Water Resources Wetlands ...

  3. Geothermal Literature Review At Cascades Region (Ingebritsen...

    OpenEI (Open Energy Information) [EERE & EIA]

    navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermal Literature Review At Cascades Region (Ingebritsen & Mariner, 2010) Exploration Activity Details...

  4. The Baltics: Regional energy profiles

    SciTech Connect

    Not Available

    1993-01-01

    However, all three Baltic Republics are heavily dependent on primary energy imports. Domestic energy sources in the Baltics are limited to oil shale mines in Estonia, small oil deposits in Lithuania, peat, and some very small hydroelectric power plants. A RBMK nuclear power station, similar to Chernobyl, operates at Snieckus in Lithuania, but the reactor fuel is also imported from Russia. However, Lithuania and Estonia are net exporters of electricity despite their reliance on primary fuels imports. The major power stations in these two Republics are the Ignalina Nuclear Power Station and the two thermal power plants at Narva in Estonia which are fueled by oil shale. The only oil refinery in the Baltics is also located in Lithuania, at Mazeikiai. This refinery has the capacity to satisfy the demand for selected refined products of the entire region, including the Kaliningrad oblast, a noncontiguous part of Russia. The Mazeikiai refinery has operated at only forty to sixty percent capacity since 1990 due to halts in crude oil supplies from Russia. The Baltic Republics also import one hundred percent of their coal and natural gas supplies. Russia is the main trading partner for all the Baltic states, accounting for more than half of their trade flow. Mutual trade within the Baltics has been surprisingly low. Other Baltic states contribute less than ten percent to each Republic`s exports or imports, even less than Belarus or Ukraine. Aside from Russia, Ukraine, and Belarus, only Kazakhstan contributes more than two percent to Baltics trade.

  5. The Baltics: Regional energy profiles

    SciTech Connect

    Not Available

    1993-01-01

    However, all three Baltic Republics are heavily dependent on primary energy imports. Domestic energy sources in the Baltics are limited to oil shale mines in Estonia, small oil deposits in Lithuania, peat, and some very small hydroelectric power plants. A RBMK nuclear power station, similar to Chernobyl, operates at Snieckus in Lithuania, but the reactor fuel is also imported from Russia. However, Lithuania and Estonia are net exporters of electricity despite their reliance on primary fuels imports. The major power stations in these two Republics are the Ignalina Nuclear Power Station and the two thermal power plants at Narva in Estonia which are fueled by oil shale. The only oil refinery in the Baltics is also located in Lithuania, at Mazeikiai. This refinery has the capacity to satisfy the demand for selected refined products of the entire region, including the Kaliningrad oblast, a noncontiguous part of Russia. The Mazeikiai refinery has operated at only forty to sixty percent capacity since 1990 due to halts in crude oil supplies from Russia. The Baltic Republics also import one hundred percent of their coal and natural gas supplies. Russia is the main trading partner for all the Baltic states, accounting for more than half of their trade flow. Mutual trade within the Baltics has been surprisingly low. Other Baltic states contribute less than ten percent to each Republic's exports or imports, even less than Belarus or Ukraine. Aside from Russia, Ukraine, and Belarus, only Kazakhstan contributes more than two percent to Baltics trade.

  6. NOAA 2015 Regional Coast Resilience Grant Program

    Energy.gov [DOE]

    The National Oceanic and Atmospheric Administration (NOOA) is accepting applications for the Regional Coastal Resilience Grant program to support regional approaches to undertake activities that build resilience of coastal regions, communities, and economic sectors to the negative impacts from extreme weather events, climate hazards, and changing ocean conditions.

  7. Big Sky Regional Middle School Regional Science Bowl | U.S. DOE Office of

    Office of Science (SC)

    Science (SC) Big Sky Regional Middle School Regional Science Bowl National Science Bowl® (NSB) NSB Home About Regional Competitions Rules, Forms, and Resources High School Regionals Middle School Regionals National Finals Volunteers Key Dates Frequently Asked Questions News Media Contact Us WDTS Home Contact Information National Science Bowl® U.S. Department of Energy SC-27/ Forrestal Building 1000 Independence Ave., SW Washington, DC 20585 E: Email Us Middle School Regionals Big Sky

  8. Automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI using an atlas-aided fuzzy C-means method

    SciTech Connect

    Wu, Shandong; Weinstein, Susan P.; Conant, Emily F.; Kontos, Despina

    2013-12-15

    Purpose: Breast magnetic resonance imaging (MRI) plays an important role in the clinical management of breast cancer. Studies suggest that the relative amount of fibroglandular (i.e., dense) tissue in the breast as quantified in MR images can be predictive of the risk for developing breast cancer, especially for high-risk women. Automated segmentation of the fibroglandular tissue and volumetric density estimation in breast MRI could therefore be useful for breast cancer risk assessment. Methods: In this work the authors develop and validate a fully automated segmentation algorithm, namely, an atlas-aided fuzzy C-means (FCM-Atlas) method, to estimate the volumetric amount of fibroglandular tissue in breast MRI. The FCM-Atlas is a 2D segmentation method working on a slice-by-slice basis. FCM clustering is first applied to the intensity space of each 2D MR slice to produce an initial voxelwise likelihood map of fibroglandular tissue. Then a prior learned fibroglandular tissue likelihood atlas is incorporated to refine the initial FCM likelihood map to achieve enhanced segmentation, from which the absolute volume of the fibroglandular tissue (|FGT|) and the relative amount (i.e., percentage) of the |FGT| relative to the whole breast volume (FGT%) are computed. The authors' method is evaluated by a representative dataset of 60 3D bilateral breast MRI scans (120 breasts) that span the full breast density range of the American College of Radiology Breast Imaging Reporting and Data System. The automated segmentation is compared to manual segmentation obtained by two experienced breast imaging radiologists. Segmentation performance is assessed by linear regression, Pearson's correlation coefficients, Student's pairedt-test, and Dice's similarity coefficients (DSC). Results: The inter-reader correlation is 0.97 for FGT% and 0.95 for |FGT|. When compared to the average of the two readers manual segmentation, the proposed FCM-Atlas method achieves a correlation ofr = 0.92 for

  9. Probing lepton flavour violation via neutrinoless $$$\\varvec{\\tau \\longrightarrow 3\\mu }$$$ τ ⟶ 3 μ decays with the ATLAS detector

    DOE PAGES [OSTI]

    Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Aben, R.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; Abreu, H.; Abreu, R.; et al

    2016-04-26

    This article presents the sensitivity of the ATLAS experiment to the lepton-flavour-violating decays of τ→3μ. A method utilising the production of τ leptons via W→τν decays is used. This method is applied to the sample of 20.3 fb−1 of pp collision data at a centre-of-mass energy of 8 TeV collected by the ATLAS experiment at the LHC in 2012. No event is observed passing the selection criteria, and the observed (expected) upper limit on the τ lepton branching fraction into three muons, Br(τ→3μ), is 3.76×10−7 (3.94×10−7) at 90 % confidence level.

  10. Securing non-volatile memory regions

    DOEpatents

    Faraboschi, Paolo; Ranganathan, Parthasarathy; Muralimanohar, Naveen

    2013-08-20

    Methods, apparatus and articles of manufacture to secure non-volatile memory regions are disclosed. An example method disclosed herein comprises associating a first key pair and a second key pair different than the first key pair with a process, using the first key pair to secure a first region of a non-volatile memory for the process, and using the second key pair to secure a second region of the non-volatile memory for the same process, the second region being different than the first region.

  11. Consideration of Dose Limits for Organs at Risk of Thoracic Radiotherapy: Atlas for Lung, Proximal Bronchial Tree, Esophagus, Spinal Cord, Ribs, and Brachial Plexus

    SciTech Connect

    Kong, Feng-Ming; Ritter, Timothy; Quint, Douglas J.; Senan, Suresh; Gaspar, Laurie E.; Komaki, Ritsuko U.; Hurkmans, Coen W.; Timmerman, Robert; Bezjak, Andrea; Bradley, Jeffrey D.; Movsas, Benjamin; Marsh, Lon; Okunieff, Paul; Choy, Hak; Curran, Walter J.

    2011-12-01

    Purpose: To review the dose limits and standardize the three-dimenional (3D) radiographic definition for the organs at risk (OARs) for thoracic radiotherapy (RT), including the lung, proximal bronchial tree, esophagus, spinal cord, ribs, and brachial plexus. Methods and Materials: The present study was performed by representatives from the Radiation Therapy Oncology Group, European Organization for Research and Treatment of Cancer, and Soutwestern Oncology Group lung cancer committees. The dosimetric constraints of major multicenter trials of 3D-conformal RT and stereotactic body RT were reviewed and the challenges of 3D delineation of these OARs described. Using knowledge of the human anatomy and 3D radiographic correlation, draft atlases were generated by a radiation oncologist, medical physicist, dosimetrist, and radiologist from the United States and reviewed by a radiation oncologist and medical physicist from Europe. The atlases were then critically reviewed, discussed, and edited by another 10 radiation oncologists. Results: Three-dimensional descriptions of the lung, proximal bronchial tree, esophagus, spinal cord, ribs, and brachial plexus are presented. Two computed tomography atlases were developed: one for the middle and lower thoracic OARs (except for the heart) and one focusing on the brachial plexus for a patient positioned supine with their arms up for thoracic RT. The dosimetric limits of the key OARs are discussed. Conclusions: We believe these atlases will allow us to define OARs with less variation and generate dosimetric data in a more consistent manner. This could help us study the effect of radiation on these OARs and guide high-quality clinical trials and individualized practice in 3D-conformal RT and stereotactic body RT.

  12. Study of the B+c ? J/?D+s and B+c ? J/?D*s+ decays with the ATLAS detector

    DOE PAGES [OSTI]

    Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Aben, R.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; Abreu, H.; Abreu, R.; et al

    2016-01-05

    The decays B+c ? J/?D+s and B+c ? J/?D*s+ are studied with the ATLAS detector at the LHC using a dataset corresponding to integrated luminosities of 4.9 and 20.6 fb1 of pp collisions collected at centre-of-mass energies ?s = 7 TeV and 8 TeV, respectively. Furthermore, signal candidates are identified through J/? ? ?+?- and D(*)+s ? ??+(?/?0) decays.

  13. Figure F8. Coal demand regions

    Gasoline and Diesel Fuel Update

    9 U.S. Energy Information Administration | Annual Energy Outlook 2016 Regional maps Figure F8. Coal demand regions Figure F7. Coal Demand Regions CT,MA,ME,NH,RI,VT OH 1. NE 3. S1 4. S2 5. GF 6. OH 7. EN AL,MS MN,ND,SD IA,NE,MO,KS TX,LA,OK,AR MT,WY,ID CO,UT,NV AZ,NM 9. AM 11. C2 12. WS 13. MT 14. CU 15. ZN WV,MD,DC,DE 2. YP Region Content Region Code NY,PA,NJ VA,NC,SC GA,FL IN,IL,MI,WI Region Content Region Code 14. CU 13. MT 16. PC 15. ZN 12. WS 11. C2 9. AM 5. GF 8. KT 4. S2 7. EN 6. OH 2. YP

  14. Search for type-III seesaw heavy leptons in pp collisions at s=8 TeVwith the ATLAS detector

    DOE PAGES [OSTI]

    Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Aben, R.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; Abreu, H.; Abreu, R.; et al

    2015-08-03

    A search for the pair production of heavy leptons (N⁰,L±) predicted by the type-III seesaw theory formulated to explain the origin of small neutrino masses is presented. The decay channels N⁰→W±l∓ (ℓ=e,μ,τ) and L±→W±ν (ν=νe,νμ,ντ) are considered. The analysis is performed using the final state that contains two leptons (electrons or muons), two jets from a hadronically decaying W boson and large missing transverse momentum. The data used in the measurement correspond to an integrated luminosity of 20.3 fb⁻¹ of pp collisions at s√=8 TeV collected by the ATLAS detector at the LHC. No evidence of heavy lepton pair productionmore » is observed. Heavy leptons with masses below 325–540 GeV are excluded at the 95% confidence level, depending on the theoretical scenario considered.« less

  15. Performance of the ATLAS muon trigger in pp collisions at √s = 8 TeV

    DOE PAGES [OSTI]

    Aad, G.

    2015-03-13

    The performance of the ATLAS muon trigger system is evaluated with proton–proton collision data collected in 2012 at the Large Hadron Collider at a centre-of-mass energy of 8 TeV. It is primarily evaluated using events containing a pair of muons from the decay of Z bosons. The efficiency of the single-muon trigger is measured for muons with transverse momentum 25 < pT < 100 GeV, with a statistical uncertainty of less than 0.01 % and a systematic uncertainty of 0.6 %. The pT range for efficiency determination is extended by using muons from decays of J/ψ mesons, W bosons, andmore » top quarks. The muon trigger shows highly uniform and stable performance. Thus, the performance is compared to the prediction of a detailed simulation.« less

  16. Performance of the ATLAS muon trigger in pp collisions at √s = 8 TeV

    SciTech Connect

    Aad, G.

    2015-03-13

    The performance of the ATLAS muon trigger system is evaluated with proton–proton collision data collected in 2012 at the Large Hadron Collider at a centre-of-mass energy of 8 TeV. It is primarily evaluated using events containing a pair of muons from the decay of Z bosons. The efficiency of the single-muon trigger is measured for muons with transverse momentum 25 < pT < 100 GeV, with a statistical uncertainty of less than 0.01 % and a systematic uncertainty of 0.6 %. The pT range for efficiency determination is extended by using muons from decays of J/ψ mesons, W bosons, and top quarks. The muon trigger shows highly uniform and stable performance. Thus, the performance is compared to the prediction of a detailed simulation.

  17. IMG-ABC: An Atlas of Biosynthetic Gene Clusters to Fuel the Discovery of Novel Secondary Metabolites

    SciTech Connect

    Chen, I-Min; Chu, Ken; Ratner, Anna; Palaniappan, Krishna; Huang, Jinghua; Reddy, T. B.K.; Cimermancic, Peter; Fischbach, Michael; Ivanova, Natalia; Markowitz, Victor; Kyrpides, Nikos; Pati, Amrita

    2014-10-28

    In the discovery of secondary metabolites (SMs), large-scale analysis of sequence data is a promising exploration path that remains largely underutilized due to the lack of relevant computational resources. We present IMG-ABC (https://img.jgi.doe.gov/abc/) -- An Atlas of Biosynthetic gene Clusters within the Integrated Microbial Genomes (IMG) system1. IMG-ABC is a rich repository of both validated and predicted biosynthetic clusters (BCs) in cultured isolates, single-cells and metagenomes linked with the SM chemicals they produce and enhanced with focused analysis tools within IMG. The underlying scalable framework enables traversal of phylogenetic dark matter and chemical structure space -- serving as a doorway to a new era in the discovery of novel molecules.

  18. Search for the Standard Model Higgs boson decay to μ⁺ μ⁻ with the ATLAS detector

    DOE PAGES [OSTI]

    None

    2014-11-01

    A search is reported for Higgs boson decay to μ⁺ μ⁻ using data with an integrated luminosity of 24.8 fb⁻¹ collected with the ATLAS detector in pp collisions at√s = 7 and 8 TeV at the CERN Large Hadron Collider. The observed dimuon invariant mass distribution is consistent with the Standard Model background-only hypothesis in the 120–150 GeV search range. For a Higgs boson with a mass of 125.5 GeV, the observed (expected) upper limit at the 95% confidence level is 7.0 (7.2) times the Standard Model expectation. This corresponds to an upper limit on the branching ratio BR (Hmore » → μ⁺ μ⁻) of 1.5×10⁻³.« less

  19. Measuring asymmetry load pairs of top quarks-antitop in the final states dileptoniques from D0 and ATLAS detectors

    SciTech Connect

    Chapelain, Antoine

    2014-06-20

    Particle physics aims to give a coherent description of the nature and the behavior of elementary particles of matter. Particle accelerators (colliders) allow pushing back our know- ledge in this domain producing particles that cannot be observed by other means. This thesis work contributes to this research eld and focuses on the study of the top quark which is the latest brick of matter discovered and the heaviest known elementary particle. The property of the top quark studied here, the charge asymmetry of the top quark-antiquark pairs, has driven a lot of attention in 2011 because of measurements released by Tevatron experiments. These measurements showed deviations with the predictions made in the framework of the standard model of particle physics. New measurements of the charge asymmetry performed at the Tevatron (with the D0 detector) and at the LHC (with the ATLAS detector) are presented in this thesis.

  20. Search for high-mass diphoton resonances in pp collisions ats=8 TeVwith the ATLAS detector

    DOE PAGES [OSTI]

    Aad, G.; Abbott, B.; Abdallah, J.; Abdel Khalek, S.; Abdinov, O.; Aben, R.; Abi, B.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; et al

    2015-08-14

    This article describes a search for high-mass resonances decaying to a pair of photons using a sample of 20.3 fb-1 of pp collisions at s√=8 TeV recorded with the ATLAS detector at the Large Hadron Collider. The data are found to be in agreement with the Standard Model prediction, and limits are reported in the framework of the Randall-Sundrum model. This theory leads to the prediction of graviton states, the lightest of which could be observed at the Large Hadron Collider. A lower limit of 2.66 (1.41) TeV at 95% confidence level is set on the mass of the lightestmore » graviton for couplings of k/M¯¯Pl=0.1 (0.01).« less

  1. Measurements of Higgs boson production and couplings in diboson final states with the ATLAS detector at the LHC

    SciTech Connect

    ATLAS Collaboration,

    2013-10-01

    Measurements are presented of production properties and couplings of the recently discovered Higgs boson using the decays into boson pairs, H→γγ, H→ZZ{sup *}→4ℓ and H→WW{sup *}→ℓνℓν. The results are based on the complete pp collision data sample recorded by the ATLAS experiment at the CERN Large Hadron Collider at centre-of-mass energies of {radical s}=7 TeV and {radical s}=8 TeV, corresponding to an integrated luminosity of about 25 fb{sup -1}. Evidence for Higgs boson production through vector-boson fusion is reported. Results of combined fits probing Higgs boson couplings to fermions and bosons, as well as anomalous contributions to loop-induced production and decay modes, are presented. All measurements are consistent with expectations for the Standard Model Higgs boson.

  2. Atlas-Based Segmentation Improves Consistency and Decreases Time Required for Contouring Postoperative Endometrial Cancer Nodal Volumes

    SciTech Connect

    Young, Amy V.; Wortham, Angela; Wernick, Iddo; Evans, Andrew; Ennis, Ronald D.

    2011-03-01

    Purpose: Accurate target delineation of the nodal volumes is essential for three-dimensional conformal and intensity-modulated radiotherapy planning for endometrial cancer adjuvant therapy. We hypothesized that atlas-based segmentation ('autocontouring') would lead to time savings and more consistent contours among physicians. Methods and Materials: A reference anatomy atlas was constructed using the data from 15 postoperative endometrial cancer patients by contouring the pelvic nodal clinical target volume on the simulation computed tomography scan according to the Radiation Therapy Oncology Group 0418 trial using commercially available software. On the simulation computed tomography scans from 10 additional endometrial cancer patients, the nodal clinical target volume autocontours were generated. Three radiation oncologists corrected the autocontours and delineated the manual nodal contours under timed conditions while unaware of the other contours. The time difference was determined, and the overlap of the contours was calculated using Dice's coefficient. Results: For all physicians, manual contouring of the pelvic nodal target volumes and editing the autocontours required a mean {+-} standard deviation of 32 {+-} 9 vs. 23 {+-} 7 minutes, respectively (p = .000001), a 26% time savings. For each physician, the time required to delineate the manual contours vs. correcting the autocontours was 30 {+-} 3 vs. 21 {+-} 5 min (p = .003), 39 {+-} 12 vs. 30 {+-} 5 min (p = .055), and 29 {+-} 5 vs. 20 {+-} 5 min (p = .0002). The mean overlap increased from manual contouring (0.77) to correcting the autocontours (0.79; p = .038). Conclusion: The results of our study have shown that autocontouring leads to increased consistency and time savings when contouring the nodal target volumes for adjuvant treatment of endometrial cancer, although the autocontours still required careful editing to ensure that the lymph nodes at risk of recurrence are properly included in the target

  3. Search for charged Higgs bosons decaying via H ± → τ± ν in fully hadronic final states using pp collision data at √s = 8 TeV with the ATLAS detector

    DOE PAGES [OSTI]

    Aad, G.

    2015-03-17

    The results of a search for charged Higgs bosons decaying to a τ lepton and a neutrino, H ± → τ± ν, are presented. The analysis is based on 19.5 fb–1 of proton-proton collision data at √s = 8 TeV collected by the ATLAS experiment at the Large Hadron Collider. Charged Higgs bosons are searched for in events consistent with top-quark pair production or in associated production with a top quark, depending on the considered H± mass. The final state is characterized by the presence of a hadronic τ decay, missing transverse momentum, b-tagged jets, a hadronically decaying W boson,more » and the absence of any isolated electrons or muons with high transverse momenta. The data are consistent with the expected background from Standard Model processes. A statistical analysis leads to 95% confidence-level upper limits on the product of branching ratios Β(t → bH±) × Β(H± → τ± ν), between 0.23% and 1.3% for charged Higgs boson masses in the range 80-160GeV. It also leads to 95% confidence-level upper limits on the production cross section times branching ratio, σ(pp → tH±+ X) × Β(H± → τ± ν), between 0.76 pb and 4.5 fb, for charged Higgs boson masses ranging from 180 GeV to 1000 GeV. In the context of different scenarios of the Minimal Supersymmetric Standard Model, these results exclude nearly all values of tan β above one for charged Higgs boson masses between 80 GeV and 160 GeV, and exclude a region of parameter space with high tan β for H± masses between 200 GeV and 250 GeV.« less

  4. Measurement of the correlation between flow harmonics of different order in lead-lead collisions at √sNN = 2.76 TeV with the ATLAS detector

    SciTech Connect

    Aad, G.

    2015-09-14

    Correlations between the elliptic or triangular flow coefficients vm (m=2 or 3) and other flow harmonics vn (n=2 to 5) are measured using √sNN=2.76 TeV Pb+Pb collision data collected in 2010 by the ATLAS experiment at the LHC, corresponding to an integrated luminosity of 7 μb-1. The vm-vn correlations are measured in midrapidity as a function of centrality, and, for events within the same centrality interval, as a function of event ellipticity or triangularity defined in a forward rapidity region. For events within the same centrality interval, v3 is found to be anticorrelated with v2 and this anticorrelation is consistent with similar anticorrelations between the corresponding eccentricities, ε2 and ε3. However, it is observed that v4 increases strongly with v2, and v5 increases strongly with both v2 and v3. The trend and strength of the vm-vn correlations for n=4 and 5 are found to disagree with εmn correlations predicted by initial-geometry models. Instead, these correlations are found to be consistent with the combined effects of a linear contribution to vn and a nonlinear term that is a function of v22 or of v2v3, as predicted by hydrodynamic models. A simple two-component fit is used to separate these two contributions. The extracted linear and nonlinear contributions to v4 and v5 are found to be consistent with previously measured event-plane correlations.

  5. Measurement of the correlation between flow harmonics of different order in lead-lead collisions at √sNN = 2.76 TeV with the ATLAS detector

    DOE PAGES [OSTI]

    Aad, G.

    2015-09-14

    Correlations between the elliptic or triangular flow coefficients vm (m=2 or 3) and other flow harmonics vn (n=2 to 5) are measured using √sNN=2.76 TeV Pb+Pb collision data collected in 2010 by the ATLAS experiment at the LHC, corresponding to an integrated luminosity of 7 μb-1. The vm-vn correlations are measured in midrapidity as a function of centrality, and, for events within the same centrality interval, as a function of event ellipticity or triangularity defined in a forward rapidity region. For events within the same centrality interval, v3 is found to be anticorrelated with v2 and this anticorrelation is consistentmore » with similar anticorrelations between the corresponding eccentricities, ε2 and ε3. However, it is observed that v4 increases strongly with v2, and v5 increases strongly with both v2 and v3. The trend and strength of the vm-vn correlations for n=4 and 5 are found to disagree with εm-εn correlations predicted by initial-geometry models. Instead, these correlations are found to be consistent with the combined effects of a linear contribution to vn and a nonlinear term that is a function of v22 or of v2v3, as predicted by hydrodynamic models. A simple two-component fit is used to separate these two contributions. The extracted linear and nonlinear contributions to v4 and v5 are found to be consistent with previously measured event-plane correlations.« less

  6. week's Southwest Regional Mine Rescue Competition.

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    winning WIPP Blue mine rescue team competes during last week's Southwest Regional Mine Rescue Competition. WIPP UPDATE: April 15, 2016 WIPP Blue Mine Rescue Team Wins Local Competition The Waste Isolation Pilot Plant (WIPP) Blue mine rescue team took top honors last week in the Southwest Regional Mine Rescue Contest, held in Carlsbad, NM. The WIPP Blue outdueled five other teams from the region, including the defending national champion WIPP Red team, to win first place overall in the

  7. Pennsylvania Regional Infrastructure Project | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Pennsylvania Regional Infrastructure Project Pennsylvania Regional Infrastructure Project Presentation by 11-Wang to DOE Hydrogen Pipeline R&D Project Review Meeting held January 5-6, 2005 at Oak Ridge National Laboratory in Oak Ridge, Tennessee. 11_wang_infra.pdf (9.72 MB) More Documents & Publications Hydrogen Regional Infrastructure Program in Pennsylvania Proceedings of the 2005 Hydrogen Pipeline Working Group Workshop Delivery Tech Team

  8. Regional News | netl.doe.gov

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Energy Regional Climate Vulnerabilities and Resilience Solutions Regional Climate Vulnerabilities and Resilience Solutions This interactive map is not viewable in your browser. Please view it in a modern browser

    Regional News November 7, 2016 Three NETL Innovations Recognized with Prestigious R&D 100 Awards Three technologies advanced by the Office of Fossil Energy's National Energy Technology Laboratory (NETL) in collaboration with strategic partners have been recognized by R&D

  9. Regional Science Bowl | netl.doe.gov

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Regional Science Bowl Growing Scientific Communities from the Ground Up Jeopardy is America's favorite quiz game show. Imagine combining the concept of Jeopardy with science and a roomful of over 100 middle/high school students from various schools across several counties. What do you get? The Regional Science Bowl! Often known as the Super Bowl of science, Regional Science Bowls provide the perfect opportunity for middle and high school students interested in STEM to compete in teams for the

  10. Regional math teacher wins presidential award

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Regional math teacher wins presidential award Community Connections: Your link to news and opportunities from Los Alamos National Laboratory Latest Issue:November 2, 2016 all issues All Issues » submit Regional math teacher wins presidential award Regional economic growth celebrated February 1, 2014 Vivian Valencia, (fourth-grade math teacher at the San Juan Elementary School in Espanola) recently won the Presidential Award for Excellence in Mathematics and Science Teaching Vivian Valencia,

  11. NERSC Staff Participate in Regional Science Bowl

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Staff Participate in Regional Science Bowl NERSC Staff Participate in Regional Science Bowl February 5, 2013 DOEScienceBowl NERSC's Elizabeth Bautista moderates DOE Science Bowl Competition at Berkeley Lab. High School students from all corners of the San Francisco Bay Area flocked to the Lawrence Berkeley National Laboratory (Berkeley Lab) on Saturday, February 2, 2013 to battle in the Department of Energy's Regional Science Bowl-an academic competition that tests students' knowledge in all

  12. Regional Energy Technology Innovation | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Regional Energy Technology Innovation Regional Energy Technology Innovation Regional Energy Technology Innovation The United States is in the midst of a clean energy revolution. The need for expanded, well-coordinated research, development, demonstration and deployment (RDD&D) to improve existing technologies and develop entirely new ones is a critical component of this unprecedented economic development opportunity going forward. Much of the advancement of the energy economy is taking place

  13. Southeast Regional Clean Energy Policy Analysis

    Energy.gov [DOE]

    This report covers the states that largely fall into the Southeastern Reliability Corporation (SERC) region: Alabama, Arkansas, Georgia, Louisiana, Kentucky, Missouri, Mississippi, North Carolina, South Carolina, and Tennessee.

  14. Pacific Region Combined Heat and Power Projects

    Energy.gov [DOE]

    DOE's Regional CHP Technical Assistance Partnerships (CHP TAPs) have compiled a select number of combined heat and power (CHP) project profiles, which are available as Adobe Acrobat PDFs.

  15. Regional Standards Enforcement Policy | Department of Energy

    Energy.gov [DOE] (indexed site)

    standards for residential central air conditioners and heat pumps. DOE will not assert civil penalty authority over distributors for violation of the regional standard for central...

  16. DOE Clean Energy Regional Application Centers (RACs)

    SciTech Connect

    2010-07-01

    This is a fact sheet on the U.S. Department of Energy's eight clean energy regional application centers, or RACs.

  17. Hawaii Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Area Mokapu Penninsula Geothermal Area Molokai Geothermal Area Olowalu-Ukumehame Canyon Geothermal Area Energy Generation Facilities within the Hawaii Geothermal Region Puna...

  18. Browse By Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    (231) States (50) Congressional Districts (437) Counties (3142) Cities (27936) Clean Energy Economy Regions (7) Programs (1157) Tools (1669) Retrieved from "http:...

  19. TCEQ Regional Offices | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Environmental Quality provides a map, list of managers, addresses, and phone numbers of its regional offices. Published NA Year Signed or Took Effect 2014 Legal Citation TCEQ...

  20. Northeast Region Combined Heat and Power Projects

    Office of Energy Efficiency and Renewable Energy (EERE)

    DOE's Regional CHP Technical Assistance Partnerships (CHP TAPs) have compiled a select number of combined heat and power (CHP) project profiles, which are available as Adobe Acrobat PDFs.

  1. Regional Dynamics Model (REDYN) | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    use the REDYN model to estimate the effects of actions and policies on people and the economy. The REDYN model powers the unique Regional Dynamics Economic Service, an...

  2. Multispectral Imaging At Yellowstone Region (Hellman & Ramsey...

    OpenEI (Open Energy Information) [EERE & EIA]

    Region Exploration Technique Multispectral Imaging Activity Date Spectral Imaging Sensor ASTER Usefulness useful DOE-funding Unknown Notes ASTER References Melanie J. Hellman,...

  3. Hyperspectral Imaging At Yellowstone Region (Hellman & Ramsey...

    OpenEI (Open Energy Information) [EERE & EIA]

    Region Exploration Technique Hyperspectral Imaging Activity Date Spectral Imaging Sensor AVIRIS Usefulness useful DOE-funding Unknown Notes AVIRIS airborne hyperspectral...

  4. Northwest Region Combined Heat and Power Projects

    Energy.gov [DOE]

    DOE's Regional CHP Technical Assistance Partnerships (CHP TAPs) have compiled a select number of combined heat and power (CHP) project profiles, which are available as Adobe Acrobat PDFs.

  5. Southern Rockies Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    ENERGYGeothermal Home Southern Rockies Geothermal Region Details Areas (1) Power Plants (0) Projects (0) Techniques (0) Assessment of Moderate- and High-Temperature...

  6. Northern Rockies Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    ENERGYGeothermal Home Northern Rockies Geothermal Region Details Areas (0) Power Plants (0) Projects (0) Techniques (0) Map: Name Province is situated in northern Idaho...

  7. Sierra Nevada Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    ENERGYGeothermal Home Sierra Nevada Geothermal Region Details Areas (0) Power Plants (0) Projects (0) Techniques (0) Map: Name California's Sierra Nevada is a...

  8. Outside a Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    GEOTHERMAL ENERGYGeothermal Home Outside a Geothermal Region Details Areas (1) Power Plants (1) Projects (0) Techniques (0) This is a category for geothermal areas added that do...

  9. Gainesville Regional Utilities- Energy Efficiency Rebate Program

    Energy.gov [DOE]

    Gainesville Regional Utilities (GRU) offers an incentive to business customers for upgrading or installing fuel efficient natural gas equipment at eligible facilities. Incentives are available for...

  10. NREL: Wind Research - Regional Test Centers

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Regional Test Centers To increase the availability of small wind turbine testing and share ... processing, and analysis Acoustic noise emissions testing Small turbine testing ...

  11. Disclosure of Permitted Communication Concerning Regional Standards...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    EERE-2011-BT-CE-0077 Disclosure of Permitted Communication Concerning Regional Standards ... More Documents & Publications Disclosure of Permitted Communication Concerning Fossil Fuel ...

  12. Geothermometry At Yellowstone Region (Fournier, 1979) | Open...

    OpenEI (Open Energy Information) [EERE & EIA]

    Geothermal Region Exploration Technique Geothermometry Activity Date Usefulness useful DOE-funding Unknown Notes Enthalpy-Chloride digram. Not exactly cation geothermometry...

  13. Regional Energy Deployment System (ReEDS)

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Regional Energy Deployment System (ReEDS) Walter Short, Patrick Sullivan, Trieu Mai, ... laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable ...

  14. Regional geophysics, Cenozoic tectonics and geologic resources...

    OpenEI (Open Energy Information) [EERE & EIA]

    and geologic resources of the Basin and Range Province and adjoining regions Author G.P. Eaton Conference Basin and Range Symposium and Great Basin Field Conference; Denver,...

  15. Regional Resource Centers for Innovation Brochure (Revised)

    SciTech Connect

    Wogsland, J.

    2000-09-14

    This brochure describes OIT's Regional Resource Centers for Innovation (RCIs), which provide the Innovation and Invention program grantees and other small business energy innovators commercialization assistance.

  16. Scenario Evaluation and Regionalization Analysis (SERA) Model

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Evaluation and Regionalization Analysis (SERA) Model (National Renewable Energy Laboratory) Objectives Determine optimal regional infrastructure development patterns for hydrogen and other transportation fuels, given resource availability and technology cost estimates. Geospatially and temporally resolve the expansion of production, transmission, and distribution infrastructure components. Identify and characterize niche markets and synergies related to refueling station placement and early fuel

  17. Hydrogen Regional Infrastructure Program in Pennsylvania

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    REGIONAL INFRASTRUCTURE PROGRAM IN PENNSYLVANIA HYDROGEN REGIONAL INFRASTRUCTURE PROGRAM IN PENNSYLVANIA Melissa Klingenberg, PhD Melissa Klingenberg, PhD Hydrogen Program Hydrogen Program Air Products and Chemicals, Inc. (APCI) Hydrogen Separation Hydrogen Sensors Resource Dynamics Corporation (RDC) Tradeoff/Sensitivity Analyses of Hydrogen Delivery Approaches EDO Fiber Science High Pressure/High Strength Composite Material Development and Prototyping CTC * Program Management * Hydrogen

  18. Wintertime meteorology of the Grand Canyon region

    SciTech Connect

    Whiteman, C.D.

    1992-09-01

    The Grand Canyon region of the American Southwest is an interesting region meteorologically, but because of its isolated location, the lack of major population centers in the region, and the high cost of meteorological field experiments, it has historically received little observational attention. In recent years, however, attention has been directed to episodes of visibility degradation in many of the US National parks, and two recent field studies focused on this visibility problem have greatly increased the meteorological data available for the Grand Canyon region. The most recent and comprehensive of these studies is the Navajo Generating Station Winter Visibility Study of 1989--90. This study investigated the sources of visibility degradation in Grand Canyon National Park and the meteorological mechanisms leading to low visibility episodes. In this paper we present analyses of this rich data set to gain a better understanding of the key wintertime meteorological features of the Grand Canyon region.

  19. Improving image segmentation by learning region affinities

    SciTech Connect

    Prasad, Lakshman; Yang, Xingwei; Latecki, Longin J

    2010-11-03

    We utilize the context information of other regions in hierarchical image segmentation to learn new regions affinities. It is well known that a single choice of quantization of an image space is highly unlikely to be a common optimal quantization level for all categories. Each level of quantization has its own benefits. Therefore, we utilize the hierarchical information among different quantizations as well as spatial proximity of their regions. The proposed affinity learning takes into account higher order relations among image regions, both local and long range relations, making it robust to instabilities and errors of the original, pairwise region affinities. Once the learnt affinities are obtained, we use a standard image segmentation algorithm to get the final segmentation. Moreover, the learnt affinities can be naturally unutilized in interactive segmentation. Experimental results on Berkeley Segmentation Dataset and MSRC Object Recognition Dataset are comparable and in some aspects better than the state-of-art methods.

  20. Production summary for extended barrel module fabrication at Argonne for the ATLAS tile calorimeter.

    SciTech Connect

    Guarino, V.; Hill, N.; Petereit, E.; Skrzecz, F.; Wood, K.; Proudfoot, J.; Anderson, S.; Caird, A.; Keyser, C.; Kocenko, L.; Matijas, Z.; Nephew, T.; Stanek, R.; Franchini, F.; High Energy Physics

    2007-11-14

    The Tile Calorimeter is one of the main hadronic calorimeters to be used in the ATLAS experiment at CERN [1,2]. It is a steel/scintillator sampling calorimeter which is built by stacking 64 segments in azimuth and 3 separate cylinders to provide a total structure whose length is approximately 12m and whose diameter is a little over 8.4m. It has a total weight of about 2630 metric tons. Important features of this calorimeter are: A minimum gap (1.5mm) between modules in azimuth; Pockets in the structure to hold the scintillator tiles; Recessed channels at the edges of the module into which the readout fibers will sit; and Holes in the structure through which a radioactive source will pass. The mechanical structure for one of the 3 calorimeter sections, the Extended Barrel (EBA) was constructed at Argonne. A schematic of the calorimeter sampling structure and the layout of one of the 64 segments, termed a module, are shown in figure 1. Each module comprises mechanically of a precision machined, structural girder to which 10 submodules are bolted. One of these submodules, the ITC, has a customized shape to accommodate services for other detector elements. Each submodule weighs 850Kg and the assembled mechanical structure of the module weighs approximately 9000Kg (a fully instrumented Extended Barrel modules weighs {approx}9600Kg). A crucial issue for the tile calorimeter assembly is the minimization of the un-instrumented gap between modules when they are stacked on top of each other during final assembly. The design goal was originally 1mm gap which was eventually relaxed to 1.5mm following a careful evaluation of all tolerances in the construction and assembly process as shown in figure 2 [3]. Submodules for this assembly were produced at 4 locations [4] using tooling and procedures which were largely identical [5]. An important issue was the height of each submodule on the stacking fixture on which they were fabricated as this defines the length along the girder

  1. Snake River Plain Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Survey At Snake River Plain Region (DOE GTP) Micro-Earthquake At Snake River Plain Geothermal Region (1976) Reflection Survey At Snake River Plain Region (DOE GTP)...

  2. Utah Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Utah Region Middle School Regional Utah Nevada Regional Middle School Science...

  3. Alaska Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the High School Coach page. Alaska Region High School Regional Alaska Alaska High School Regional Science...

  4. Louisiana Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Louisiana Region Middle School Regional Louisiana Arkansas Regional Middle...

  5. Alabama Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the High School Coach page. Alabama Region High School Regional Alabama Alabama High School Regional Science...

  6. Louisiana Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the High School Coach page. Louisiana Region High School Regional Louisiana Louisiana Regional High School...

  7. Georgia Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Georgia Region Middle School Regional Georgia Georgia Regional Middle School...

  8. Wyoming Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Wyoming Region Middle School Regional Wyoming Wyoming Regional Middle School...

  9. Colorado Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Colorado Region Middle School Regional Colorado Colorado Regional Middle School...

  10. Hawaii Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the High School Coach page. Hawaii Region High School Regional Hawaii Hawaii Regional High School Science...

  11. Massachusetts Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Massachusetts Region Middle School Regional Massachusetts Massachusetts Regional...

  12. Maine Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Maine Region Middle School Regional Maine Massachusetts Regional Middle School...

  13. Vermont Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Vermont Region Middle School Regional Vermont Massachusetts Regional Middle...

  14. Maryland Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Maryland Region Middle School Regional Maryland Maryland Regional Middle School...

  15. Maine Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the High School Coach page. Maine Region High School Regional Maine Maine Regional High School Science Bowl...

  16. Delaware Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Delaware Region Middle School Regional Delaware New Jersey Regional Middle...

  17. Florida Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Florida Region Middle School Regional Florida Florida Regional Middle School...

  18. Tennessee Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Tennessee Region Middle School Regional Tennessee Tennessee Regional Middle...

  19. Michigan Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Michigan Region Middle School Regional Michigan Indiana Regional Middle School...

  20. Connecticut Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Connecticut Region Middle School Regional Connecticut Connecticut Regional...

  1. Kansas Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Kansas Region Middle School Regional Kansas Missouri Regional Middle School...

  2. Indiana Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the High School Coach page. Indiana Region High School Regional Indiana Indiana Regional High School Science...

  3. Delaware Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the High School Coach page. Delaware Region High School Regional Delaware New Jersey Regional High School...

  4. Utah Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    for your school's state, county, city, or district. For more information, please visit the High School Coach page. Utah Region High School Regional Utah Nevada Regional High School...

  5. Kentucky Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Kentucky Region Middle School Regional Kentucky West Kentucky Regional Middle...

  6. Ohio Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    state, county, city, or district. For more information, please visit the Middle School Coach page. Ohio Region Middle School Regional Ohio Indiana Regional Middle School Science...

  7. Cape Cod Regional Transit Authority | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Cod Regional Transit Authority Jump to: navigation, search Name Cape Cod Regional Transit Authority Facility Cape Cod Regional Transit Authority Sector Wind energy Facility Type...

  8. Georgia Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    Regional High School Science Bowl Columbia County Savannah River Regional High School Science Bowl Richmond County Savannah River Regional High School Science Bowl If you find ...

  9. Stockton Regional Water Control Facility Biomass Facility | Open...

    OpenEI (Open Energy Information) [EERE & EIA]

    Stockton Regional Water Control Facility Biomass Facility Jump to: navigation, search Name Stockton Regional Water Control Facility Biomass Facility Facility Stockton Regional...

  10. REEEP South Asia Regional Secretariat | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    South Asia Regional Secretariat Jump to: navigation, search Name: REEEP South Asia Regional Secretariat Place: New Delhi, Delhi (NCT), India Zip: 110 003 Product: Regional...

  11. Mississippi Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    ... High School Science Bowl Simpson County Mississippi Regional High School Science Bowl Smith County Mississippi Regional High School Science Bowl Stone County Louisiana Regional ...

  12. Minnesota Regional Science Bowl for Middle School Students |...

    Office of Science (SC)

    Minnesota Regional Science Bowl for Middle School Students National Science Bowl (NSB) NSB Home About Regional Competitions Rules, Forms, and Resources High School Regionals ...

  13. Database for Regional Geology, Phase 1- A Tool for informing...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Database for Regional Geology, Phase 1- A Tool for informing Regional Evaluations of Alternative Geologic Media and Decision Making Database for Regional Geology, Phase 1- A Tool ...

  14. Rio Grande Rift Geothermal Region | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Region Data Acquisition-Manipulation At Rio Grande Rift Region (Morgan, Et Al., 2010) Ground Gravity Survey At Rio Grande Rift Region (Aiken & Ander, 1981) Magnetotellurics At...

  15. Oklahoma Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    Oklahoma Regions National Science Bowl (NSB) NSB Home About High School Middle School ... Middle School Regionals Oklahoma Regions Print Text Size: A A A FeedbackShare Page ...

  16. Smart Grid Regional and Energy Storage Demonstration Projects...

    Office of Environmental Management (EM)

    Regional and Energy Storage Demonstration Projects: Awards Smart Grid Regional and Energy Storage Demonstration Projects: Awards List of Smart Grid Regional and Energy Storage ...

  17. LEDSGP/about/regional-platforms | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Guiding Structure Regional Platforms LEDS GP regional platforms lead regional peer learning, training, and collaboration; engage technical working groups, the LEDS GP...

  18. NBP RFI: Communications Requirements- Comments of Lake Region...

    Energy Saver

    Lake Region Electric Cooperative- Minnesota NBP RFI: Communications Requirements- Comments of Lake Region Electric Cooperative- Minnesota Comments of Lake Region Electric ...

  19. Minnesota Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    Minnesota Regions National Science Bowl (NSB) NSB Home About High School High School ... High School Regionals Minnesota Regions Print Text Size: A A A FeedbackShare Page ...

  20. Minnesota Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    Minnesota Regions National Science Bowl (NSB) NSB Home About High School Middle School ... Middle School Regionals Minnesota Regions Print Text Size: A A A FeedbackShare Page ...

  1. Robie G. Russell, Regional Administrator, Region 10, U.S. Environmental

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    4-1 14.0 SIGNATURE The original signatories of the action plan signed May 15, 1989 were Robie G. Russell, Regional Administrator, Region 10, U.S. Environmental Protection Agency; Michael J. Lawrence, Manager, Richland Operations Office, U.S. Department of Energy; and Christine O. Gregoire, Director, Washington State Department of Ecology. The following are the titles of the current signatories: For the United States Environmental Protection Agency: Regional Administrator, Region 10 U.S.

  2. Database for Regional Geology, Phase 1- A Tool for informing Regional

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Evaluations of Alternative Geologic Media and Decision Making | Department of Energy Database for Regional Geology, Phase 1- A Tool for informing Regional Evaluations of Alternative Geologic Media and Decision Making Database for Regional Geology, Phase 1- A Tool for informing Regional Evaluations of Alternative Geologic Media and Decision Making The report describes implementation and planning of websites that allow visualization or manipulation of data in the UFD GIS Database; e.g., the

  3. Regional seismic discrimination research at LLNL

    SciTech Connect

    Walter, W.R.; Mayeda, K.M.; Goldstein, P.; Patton, H.J.; Jarpe, S.; Glenn, L.

    1995-10-01

    The ability to verify a Comprehensive Test Ban Treaty (CTBT) depends in part on the ability to seismically detect and discriminate between potential clandestine underground nuclear tests and other seismic sources, including earthquakes and mining activities. Regional techniques are necessary to push detection and discrimination levels down to small magnitudes, but existing methods of event discrimination are mainly empirical and show much variability from region to region. The goals of Lawrence Livermore National Laboratory`s (LLNL`s) regional discriminant research are to evaluate the most promising discriminants, improve the understanding of their physical basis and use this information to develop new and more effective discriminants that can be transported to new regions of high monitoring interest. In this report the authors discuss preliminary efforts to geophysically characterize the Middle East and North Africa. They show that the remarkable stability of coda allows one to develop physically based, stable single station magnitude scales in new regions. They then discuss progress to date on evaluating and improving physical understanding and ability to model regional discriminants, focusing on the comprehensive NTS dataset. The authors apply this modeling ability to develop improved discriminants including slopes of P to S ratios. They find combining disparate discriminant techniques is particularly effective in identifying consistent outliers such as shallow earthquakes and mine seismicity. Finally they discuss development and use of new coda and waveform modeling tools to investigate special events.

  4. Search for New Phenomena Using W/Z + (b)-Jets Measurements Performed with the ATLAS Detector

    SciTech Connect

    Beauchemin, Pierre-Hugues

    2015-06-30

    The Project proposed to use data of the ATLAS experiment, obtained during the 2011 and 2012 data-taking campaigns, to pursue studies of the strong interaction (QCD) and to examine promising signatures for new physics. The Project also contains a service component dedicated to a detector development initiative. The objective of the strong interaction studies is to determine how various predictions from the main theory (QCD) compare to the data. Results of a set of measurements developed by the Tufts team indicate that the dominant factor of discrepancy between data and QCD predictions come from the mis-modeling of the low energy gluon radiation as described by algorithms called parton showers. The discrepancies introduced by parton showers on LHC predictions could even be larger than the effect due to completely new phenomena (dark matter, supersymmetry, etc.) and could thus block further discoveries at the LHC. Some of the results obtained in the course of this Project also specify how QCD predictions must be improved in order to open the possibility for the discovery of something completely new at the LHC during Run-II. This has been integrated in the Run-II ATLAS physics program. Another objective of Tufts studies of the strong interaction was to determine how the hypothesis about an intrinsic heavy-quark component of the proton (strange, charm or bottom quarks) could be tested at the LHC. This hypothesis has been proposed by theorists 30 years ago and is still controversial. The Tufts team demonstrated that intrinsic charms can be observed, or severely constrained, at the LHC, and determine how the measurement should be performed in order to maximize its sensitivity to such an intrinsic heavy-quark component of the proton. Tufts also embarked on performing the measurement that is in progress, but final results are not yet available. They should shade a light of understanding on the fundamental structure of the proton. Determining the nature of dark matter

  5. Regional Climate Modeling: Progress, Challenges, and Prospects

    SciTech Connect

    Wang, Yuqing; Leung, Lai R.; McGregor, John L.; Lee, Dong-Kyou; Wang, Wei-Chyung; Ding, Yihui; Kimura, Fujio

    2004-12-01

    Regional climate modeling with regional climate models (RCMs) has matured over the past decade and allows for meaningful utilization in a broad spectrum of applications. In this paper, latest progresses in regional climate modeling studies are reviewed, including RCM development, applications of RCMs to dynamical downscaling for climate change assessment, seasonal climate predictions and climate process studies, and the study of regional climate predictability. Challenges and potential directions of future research in this important area are discussed, with the focus on those to which less attention has been given previously, such as the importance of ensemble simulations, further development and improvement of regional climate modeling approach, modeling extreme climate events and sub-daily variation of clouds and precipitation, model evaluation and diagnostics, applications of RCMs to climate process studies and seasonal predictions, and development of regional earth system models. It is believed that with both the demonstrated credibility of RCMs capability in reproducing not only monthly to seasonal mean climate and interannual variability but also the extreme climate events when driven by good quality reanalysis and the continuous improvements in the skill of global general circulation models (GCMs) in simulating large-scale atmospheric circulation, regional climate modeling will remain an important dynamical downscaling tool for providing the needed information for assessing climate change impacts and seasonal climate predictions, and a powerful tool for improving our understanding of regional climate processes. An internationally coordinated effort can be developed with different focuses by different groups to advance regional climate modeling studies. It is also recognized that since the final quality of the results from nested RCMs depends in part on the realism of the large-scale forcing provided by GCMs, the reduction of errors and improvement in

  6. State and Regional Policy Assistance- Program Activities

    Energy.gov [DOE]

    The Electric Markets Technical Assistance Program responds to both immediate and long-terms needs of states, regions, and other organizations to implement policy and market solutions that bring about improved demand response, energy efficiency, renewable energy, and transmission utilization.

  7. AWEA Wind Energy Regional Summit: Northeast

    Office of Energy Efficiency and Renewable Energy (EERE)

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  12. Detection Of Amplified Or Deleted Chromosomal Regions

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    DOEpatents

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    1995-01-01

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    Aad, G.; Abbott, B.; Abdallah, J.; Abdel Khalek, S.; Abdinov, O.; Aben, R.; Abi, B.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; Abreu, H.; Abreu, R.; Abulaiti, Y.; Acharya, B. S.; Adamczyk, L.; Adams, D. L.; Adelman, J.; Adomeit, S.; Adye, T.; Agatonovic-Jovin, T.; Aguilar-Saavedra, J. A.; Agustoni, M.; Ahlen, S. P.; Ahmadov, F.; Aielli, G.; Akerstedt, H.; Åkesson, T. P. A.; Akimoto, G.; Akimov, A. V.; Alberghi, G. L.; Albert, J.; Albrand, S.; Alconada Verzini, M. J.; Aleksa, M.; Aleksandrov, I. N.; Alexa, C.; Alexander, G.; Alexandre, G.; Alexopoulos, T.; Alhroob, M.; Alimonti, G.; Alio, L.; Alison, J.; Allbrooke, B. M. M.; Allison, L. J.; Allport, P. P.; Aloisio, A.; Alonso, A.; Alonso, F.; Alpigiani, C.; Altheimer, A.; Alvarez Gonzalez, B.; Alviggi, M. G.; Amako, K.; Amaral Coutinho, Y.; Amelung, C.; Amidei, D.; Amor Dos Santos, S. P.; Amorim, A.; Amoroso, S.; Amram, N.; Amundsen, G.; Anastopoulos, C.; Ancu, L. S.; Andari, N.; Andeen, T.; Anders, C. F.; Anders, G.; Anderson, K. J.; Andreazza, A.; Andrei, V.; Anduaga, X. S.; Angelidakis, S.; Angelozzi, I.; Anger, P.; Angerami, A.; Anghinolfi, F.; Anisenkov, A. V.; Anjos, N.; Annovi, A.; Antonelli, M.; Antonov, A.; Antos, J.; Anulli, F.; Aoki, M.; Aperio Bella, L.; Arabidze, G.; Arai, Y.; Araque, J. P.; Arce, A. T. H.; Arduh, F. A.; Arguin, J-F.; Argyropoulos, S.; Arik, M.; Armbruster, A. J.; Arnaez, O.; Arnal, V.; Arnold, H.; Arratia, M.; Arslan, O.; Artamonov, A.; Artoni, G.; Asai, S.; Asbah, N.; Ashkenazi, A.; Åsman, B.; Asquith, L.; Assamagan, K.; Astalos, R.; Atkinson, M.; Atlay, N. B.; Auerbach, B.; Augsten, K.; Aurousseau, M.; Avolio, G.; Axen, B.; Azuelos, G.; Baak, M. A.; Baas, A. E.; Bacci, C.; Bachacou, H.; Bachas, K.; Backes, M.; Backhaus, M.; Bagiacchi, P.; Bagnaia, P.; Bai, Y.; Bain, T.; Baines, J. T.; Baker, O. K.; Balek, P.; Balestri, T.; Balli, F.; Banas, E.; Banerjee, Sw.; Bannoura, A. A. E.; Bansil, H. S.; Barak, L.; Barberio, E. 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R.; Bentvelsen, S.; Berge, D.; Bergeaas Kuutmann, E.; Berger, N.; Berghaus, F.; Beringer, J.; Bernard, C.; Bernard, N. R.; Bernius, C.; Bernlochner, F. U.; Berry, T.; Berta, P.; Bertella, C.; Bertoli, G.; Bertolucci, F.; Bertsche, C.; Bertsche, D.; Besana, M. I.; Besjes, G. J.; Bessidskaia Bylund, O.; Bessner, M.; Besson, N.; Betancourt, C.; Bethke, S.; Bevan, A. J.; Bhimji, W.; Bianchi, R. M.; Bianchini, L.; Bianco, M.; Biebel, O.; Bieniek, S. P.; Biglietti, M.; Bilbao De Mendizabal, J.; Bilokon, H.; Bindi, M.; Binet, S.; Bingul, A.; Bini, C.; Black, C. W.; Black, J. E.; Black, K. M.; Blackburn, D.; Blair, R. E.; Blanchard, J. -B.; Blanco, J. E.; Blazek, T.; Bloch, I.; Blocker, C.; Blum, W.; Blumenschein, U.; Bobbink, G. J.; Bobrovnikov, V. S.; Bocchetta, S. S.; Bocci, A.; Bock, C.; Boddy, C. R.; Boehler, M.; Bogaerts, J. A.; Bogdanchikov, A. G.; Bohm, C.; Boisvert, V.; Bold, T.; Boldea, V.; Boldyrev, A. 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H.; Ciubancan, M.; Clark, A.; Clark, P. J.; Clarke, R. N.; Cleland, W.; Clement, C.; Coadou, Y.; Cobal, M.; Coccaro, A.; Cochran, J.; Coffey, L.; Cogan, J. G.; Cole, B.; Cole, S.; Colijn, A. P.; Collot, J.; Colombo, T.; Compostella, G.; Conde Muiño, P.; Coniavitis, E.; Connell, S. H.; Connelly, I. A.; Consonni, S. M.; Consorti, V.; Constantinescu, S.; Conta, C.; Conti, G.; Conventi, F.; Cooke, M.; Cooper, B. D.; Cooper-Sarkar, A. M.; Copic, K.; Cornelissen, T.; Corradi, M.; Corriveau, F.; Corso-Radu, A.; Cortes-Gonzalez, A.; Cortiana, G.; Costa, G.; Costa, M. J.; Costanzo, D.; Côté, D.; Cottin, G.; Cowan, G.; Cox, B. E.; Cranmer, K.; Cree, G.; Crépé-Renaudin, S.; Crescioli, F.; Cribbs, W. A.; Crispin Ortuzar, M.; Cristinziani, M.; Croft, V.; Crosetti, G.; Cuhadar Donszelmann, T.; Cummings, J.; Curatolo, M.; Cuthbert, C.; Czirr, H.; Czodrowski, P.; D'Auria, S.; D'Onofrio, M.; Da Cunha Sargedas De Sousa, M. 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E.; Derue, F.; Dervan, P.; Desch, K.; Deterre, C.; Deviveiros, P. O.; Dewhurst, A.; Dhaliwal, S.; Di Ciaccio, A.; Di Ciaccio, L.; Di Domenico, A.; Di Donato, C.; Di Girolamo, A.; Di Girolamo, B.; Di Mattia, A.; Di Micco, B.; Di Nardo, R.; Di Simone, A.; Di Sipio, R.; Di Valentino, D.; Diaconu, C.; Dias, F. A.; Diaz, M. A.; Diehl, E. B.; Dietrich, J.; Dietzsch, T. A.; Diglio, S.; Dimitrievska, A.; Dingfelder, J.; Dita, P.; Dita, S.; Dittus, F.; Djama, F.; Djobava, T.; Djuvsland, J. I.; do Vale, M. A. B.; Dobos, D.; Dobre, M.; Doglioni, C.; Doherty, T.; Dohmae, T.; Dolejsi, J.; Dolezal, Z.; Dolgoshein, B. A.; Donadelli, M.; Donati, S.; Dondero, P.; Donini, J.; Dopke, J.; Doria, A.; Dova, M. T.; Doyle, A. T.; Dris, M.; Dubreuil, E.; Duchovni, E.; Duckeck, G.; Ducu, O. A.; Duda, D.; Dudarev, A.; Duflot, L.; Duguid, L.; Dührssen, M.; Dunford, M.; Duran Yildiz, H.; Düren, M.; Durglishvili, A.; Duschinger, D.; Dwuznik, M.; Dyndal, M.; Edson, W.; Edwards, N. C.; Ehrenfeld, W.; Eifert, T.; Eigen, G.; Einsweiler, K.; Ekelof, T.; El Kacimi, M.; Ellert, M.; Elles, S.; Ellinghaus, F.; Elliot, A. A.; Ellis, N.; Elmsheuser, J.; Elsing, M.; Emeliyanov, D.; Enari, Y.; Endner, O. C.; Endo, M.; Erdmann, J.; Ereditato, A.; Eriksson, D.; Ernis, G.; Ernst, J.; Ernst, M.; Errede, S.; Ertel, E.; Escalier, M.; Esch, H.; Escobar, C.; Esposito, B.; Etienvre, A. I.; Etzion, E.; Evans, H.; Ezhilov, A.; Fabbri, L.; Facini, G.; Fakhrutdinov, R. M.; Falciano, S.; Falla, R. J.; Faltova, J.; Fang, Y.; Fanti, M.; Farbin, A.; Farilla, A.; Farooque, T.; Farrell, S.; Farrington, S. M.; Farthouat, P.; Fassi, F.; Fassnacht, P.; Fassouliotis, D.; Favareto, A.; Fayard, L.; Federic, P.; Fedin, O. L.; Fedorko, W.; Feigl, S.; Feligioni, L.; Feng, C.; Feng, E. J.; Feng, H.; Fenyuk, A. B.; Fernandez Martinez, P.; Fernandez Perez, S.; Ferrag, S.; Ferrando, J.; Ferrari, A.; Ferrari, P.; Ferrari, R.; Ferreira de Lima, D. 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A.; Schwegler, Ph.; Schwemling, Ph.; Schwienhorst, R.; Schwindling, J.; Schwindt, T.; Schwoerer, M.; Sciacca, F. G.; Scifo, E.; Sciolla, G.; Scuri, F.; Scutti, F.; Searcy, J.; Sedov, G.; Sedykh, E.; Seema, P.; Seidel, S. C.; Seiden, A.; Seifert, F.; Seixas, J. M.; Sekhniaidze, G.; Sekula, S. J.; Selbach, K. E.; Seliverstov, D. M.; Semprini-Cesari, N.; Serfon, C.; Serin, L.; Serkin, L.; Serre, T.; Seuster, R.; Severini, H.; Sfiligoj, T.; Sforza, F.; Sfyrla, A.; Shabalina, E.; Shamim, M.; Shan, L. Y.; Shang, R.; Shank, J. T.; Shapiro, M.; Shatalov, P. B.; Shaw, K.; Shcherbakova, A.; Shehu, C. Y.; Sherwood, P.; Shi, L.; Shimizu, S.; Shimmin, C. O.; Shimojima, M.; Shiyakova, M.; Shmeleva, A.; Shoaleh Saadi, D.; Shochet, M. J.; Shojaii, S.; Shrestha, S.; Shulga, E.; Shupe, M. A.; Shushkevich, S.; Sicho, P.; Sidiropoulou, O.; Sidorov, D.; Sidoti, A.; Siegert, F.; Sijacki, Dj.; Silva, J.; Silver, Y.; Silverstein, D.; Silverstein, S. B.; Simak, V.; Simard, O.; Simic, Lj.; Simion, S.; Simioni, E.; Simmons, B.; Simon, D.; Simoniello, R.; Sinervo, P.; Sinev, N. B.; Siragusa, G.; Sircar, A.; Sisakyan, A. N.; Sivoklokov, S. Yu.; Sjölin, J.; Sjursen, T. B.; Skottowe, H. P.; Skubic, P.; Slater, M.; Slavicek, T.; Slawinska, M.; Sliwa, K.; Smakhtin, V.; Smart, B. H.; Smestad, L.; Smirnov, S. Yu.; Smirnov, Y.; Smirnova, L. N.; Smirnova, O.; Smith, K. M.; Smith, M. N. K.; Smizanska, M.; Smolek, K.; Snesarev, A. A.; Snidero, G.; Snyder, S.; Sobie, R.; Socher, F.; Soffer, A.; Soh, D. A.; Solans, C. A.; Solar, M.; Solc, J.; Soldatov, E. Yu.; Soldevila, U.; Solodkov, A. A.; Soloshenko, A.; Solovyanov, O. V.; Solovyev, V.; Sommer, P.; Song, H. Y.; Soni, N.; Sood, A.; Sopczak, A.; Sopko, B.; Sopko, V.; Sorin, V.; Sosa, D.; Sosebee, M.; Soualah, R.; Soueid, P.; Soukharev, A. M.; South, D.; Spagnolo, S.; Spanò, F.; Spearman, W. R.; Spettel, F.; Spighi, R.; Spigo, G.; Spiller, L. A.; Spousta, M.; Spreitzer, T.; St. Denis, R. D.; Staerz, S.; Stahlman, J.; Stamen, R.; Stamm, S.; Stanecka, E.; Stanescu, C.; Stanescu-Bellu, M.; Stanitzki, M. M.; Stapnes, S.; Starchenko, E. A.; Stark, J.; Staroba, P.; Starovoitov, P.; Staszewski, R.; Stavina, P.; Steinberg, P.; Stelzer, B.; Stelzer, H. J.; Stelzer-Chilton, O.; Stenzel, H.; Stern, S.; Stewart, G. A.; Stillings, J. A.; Stockton, M. C.; Stoebe, M.; Stoicea, G.; Stolte, P.; Stonjek, S.; Stradling, A. R.; Straessner, A.; Stramaglia, M. E.; Strandberg, J.; Strandberg, S.; Strandlie, A.; Strauss, E.; Strauss, M.; Strizenec, P.; Ströhmer, R.; Strom, D. M.; Stroynowski, R.; Strubig, A.; Stucci, S. A.; Stugu, B.; Styles, N. A.; Su, D.; Su, J.; Subramaniam, R.; Succurro, A.; Sugaya, Y.; Suhr, C.; Suk, M.; Sulin, V. V.; Sultansoy, S.; Sumida, T.; Sun, S.; Sun, X.; Sundermann, J. E.; Suruliz, K.; Susinno, G.; Sutton, M. R.; Suzuki, Y.; Svatos, M.; Swedish, S.; Swiatlowski, M.; Sykora, I.; Sykora, T.; Ta, D.; Taccini, C.; Tackmann, K.; Taenzer, J.; Taffard, A.; Tafirout, R.; Taiblum, N.; Takai, H.; Takashima, R.; Takeda, H.; Takeshita, T.; Takubo, Y.; Talby, M.; Talyshev, A. A.; Tam, J. Y. C.; Tan, K. G.; Tanaka, J.; Tanaka, R.; Tanaka, S.; Tanaka, S.; Tanasijczuk, A. J.; Tannenwald, B. B.; Tannoury, N.; Tapprogge, S.; Tarem, S.; Tarrade, F.; Tartarelli, G. F.; Tas, P.; Tasevsky, M.; Tashiro, T.; Tassi, E.; Tavares Delgado, A.; Tayalati, Y.; Taylor, F. E.; Taylor, G. N.; Taylor, W.; Teischinger, F. A.; Teixeira Dias Castanheira, M.; Teixeira-Dias, P.; Temming, K. K.; Ten Kate, H.; Teng, P. K.; Teoh, J. J.; Tepel, F.; Terada, S.; Terashi, K.; Terron, J.; Terzo, S.; Testa, M.; Teuscher, R. J.; Therhaag, J.; Theveneaux-Pelzer, T.; Thomas, J. P.; Thomas-Wilsker, J.; Thompson, E. N.; Thompson, P. D.; Thompson, R. J.; Thompson, A. S.; Thomsen, L. A.; Thomson, E.; Thomson, M.; Thong, W. M.; Thun, R. P.; Tian, F.; Tibbetts, M. J.; Ticse Torres, R. E.; Tikhomirov, V. O.; Tikhonov, Yu. A.; Timoshenko, S.; Tiouchichine, E.; Tipton, P.; Tisserant, S.; Todorov, T.; Todorova-Nova, S.; Tojo, J.; Tokár, S.; Tokushuku, K.; Tollefson, K.; Tolley, E.; Tomlinson, L.; Tomoto, M.; Tompkins, L.; Toms, K.; Topilin, N. D.; Torrence, E.; Torres, H.; Torró Pastor, E.; Toth, J.; Touchard, F.; Tovey, D. R.; Tran, H. L.; Trefzger, T.; Tremblet, L.; Tricoli, A.; Trigger, I. M.; Trincaz-Duvoid, S.; Tripiana, M. F.; Trischuk, W.; Trocmé, B.; Troncon, C.; Trottier-McDonald, M.; Trovatelli, M.; True, P.; Trzebinski, M.; Trzupek, A.; Tsarouchas, C.; Tseng, J. C-L.; Tsiareshka, P. V.; Tsionou, D.; Tsipolitis, G.; Tsirintanis, N.; Tsiskaridze, S.; Tsiskaridze, V.; Tskhadadze, E. G.; Tsukerman, I. I.; Tsulaia, V.; Tsuno, S.; Tsybychev, D.; Tudorache, A.; Tudorache, V.; Tuna, A. N.; Tupputi, S. A.; Turchikhin, S.; Turecek, D.; Turra, R.; Turvey, A. J.; Tuts, P. M.; Tykhonov, A.; Tylmad, M.; Tyndel, M.; Ueda, I.; Ueno, R.; Ughetto, M.; Ugland, M.; Uhlenbrock, M.; Ukegawa, F.; Unal, G.; Undrus, A.; Unel, G.; Ungaro, F. C.; Unno, Y.; Unverdorben, C.; Urban, J.; Urquijo, P.; Urrejola, P.; Usai, G.; Usanova, A.; Vacavant, L.; Vacek, V.; Vachon, B.; Valencic, N.; Valentinetti, S.; Valero, A.; Valery, L.; Valkar, S.; Valladolid Gallego, E.; Vallecorsa, S.; Valls Ferrer, J. A.; Van Den Wollenberg, W.; Van Der Deijl, P. C.; van der Geer, R.; van der Graaf, H.; Van Der Leeuw, R.; van Eldik, N.; van Gemmeren, P.; Van Nieuwkoop, J.; van Vulpen, I.; van Woerden, M. C.; Vanadia, M.; Vandelli, W.; Vanguri, R.; Vaniachine, A.; Vannucci, F.; Vardanyan, G.; Vari, R.; Varnes, E. W.; Varol, T.; Varouchas, D.; Vartapetian, A.; Varvell, K. E.; Vazeille, F.; Vazquez Schroeder, T.; Veatch, J.; Veloso, F.; Velz, T.; Veneziano, S.; Ventura, A.; Ventura, D.; Venturi, M.; Venturi, N.; Venturini, A.; Vercesi, V.; Verducci, M.; Verkerke, W.; Vermeulen, J. C.; Vest, A.; Vetterli, M. C.; Viazlo, O.; Vichou, I.; Vickey, T.; Vickey Boeriu, O. E.; Viehhauser, G. H. A.; Viel, S.; Vigne, R.; Villa, M.; Villaplana Perez, M.; Vilucchi, E.; Vincter, M. G.; Vinogradov, V. B.; Virzi, J.; Vivarelli, I.; Vives Vaque, F.; Vlachos, S.; Vladoiu, D.; Vlasak, M.; Vogel, M.; Vokac, P.; Volpi, G.; Volpi, M.; von der Schmitt, H.; von Radziewski, H.; von Toerne, E.; Vorobel, V.; Vorobev, K.; Vos, M.; Voss, R.; Vossebeld, J. H.; Vranjes, N.; Vranjes Milosavljevic, M.; Vrba, V.; Vreeswijk, M.; Vuillermet, R.; Vukotic, I.; Vykydal, Z.; Wagner, P.; Wagner, W.; Wahlberg, H.; Wahrmund, S.; Wakabayashi, J.; Walder, J.; Walker, R.; Walkowiak, W.; Wang, C.; Wang, F.; Wang, H.; Wang, H.; Wang, J.; Wang, J.; Wang, K.; Wang, R.; Wang, S. M.; Wang, T.; Wang, X.; Wanotayaroj, C.; Warburton, A.; Ward, C. P.; Wardrope, D. R.; Warsinsky, M.; Washbrook, A.; Wasicki, C.; Watkins, P. M.; Watson, A. T.; Watson, I. J.; Watson, M. F.; Watts, G.; Watts, S.; Waugh, B. M.; Webb, S.; Weber, M. S.; Weber, S. W.; Webster, J. S.; Weidberg, A. R.; Weinert, B.; Weingarten, J.; Weiser, C.; Weits, H.; Wells, P. S.; Wenaus, T.; Wendland, D.; Wengler, T.; Wenig, S.; Wermes, N.; Werner, M.; Werner, P.; Wessels, M.; Wetter, J.; Whalen, K.; Wharton, A. M.; White, A.; White, M. J.; White, R.; White, S.; Whiteson, D.; Wicke, D.; Wickens, F. J.; Wiedenmann, W.; Wielers, M.; Wienemann, P.; Wiglesworth, C.; Wiik-Fuchs, L. A. M.; Wildauer, A.; Wilkens, H. G.; Williams, H. H.; Williams, S.; Willis, C.; Willocq, S.; Wilson, A.; Wilson, J. A.; Wingerter-Seez, I.; Winklmeier, F.; Winter, B. T.; Wittgen, M.; Wittkowski, J.; Wollstadt, S. J.; Wolter, M. W.; Wolters, H.; Wosiek, B. K.; Wotschack, J.; Woudstra, M. J.; Wozniak, K. W.; Wu, M.; Wu, S. L.; Wu, X.; Wu, Y.; Wyatt, T. R.; Wynne, B. M.; Xella, S.; Xu, D.; Xu, L.; Yabsley, B.; Yacoob, S.; Yakabe, R.; Yamada, M.; Yamaguchi, Y.; Yamamoto, A.; Yamamoto, S.; Yamanaka, T.; Yamauchi, K.; Yamazaki, Y.; Yan, Z.; Yang, H.; Yang, H.; Yang, Y.; Yanush, S.; Yao, L.; Yao, W-M.; Yasu, Y.; Yatsenko, E.; Yau Wong, K. H.; Ye, J.; Ye, S.; Yeletskikh, I.; Yen, A. L.; Yildirim, E.; Yorita, K.; Yoshida, R.; Yoshihara, K.; Young, C.; Young, C. J. S.; Youssef, S.; Yu, D. R.; Yu, J.; Yu, J. M.; Yu, J.; Yuan, L.; Yurkewicz, A.; Yusuff, I.; Zabinski, B.; Zaidan, R.; Zaitsev, A. M.; Zaman, A.; Zambito, S.; Zanello, L.; Zanzi, D.; Zeitnitz, C.; Zeman, M.; Zemla, A.; Zengel, K.; Zenin, O.; Ženiš, T.; Zerwas, D.; Zhang, D.; Zhang, F.; Zhang, J.; Zhang, L.; Zhang, R.; Zhang, X.; Zhang, Z.; Zhao, X.; Zhao, Y.; Zhao, Z.; Zhemchugov, A.; Zhong, J.; Zhou, B.; Zhou, C.; Zhou, L.; Zhou, L.; Zhou, N.; Zhu, C. G.; Zhu, H.; Zhu, J.; Zhu, Y.; Zhuang, X.; Zhukov, K.; Zibell, A.; Zieminska, D.; Zimine, N. I.; Zimmermann, C.; Zimmermann, R.; Zimmermann, S.; Zinonos, Z.; Ziolkowski, M.; Živković, L.; Zobernig, G.; Zoccoli, A.; zur Nedden, M.; Zurzolo, G.; Zwalinski, L.

    2015-09-01

    Measurements of differential cross sections for J/ψ production in p+Pb collisions at √sNN=5.02TeV at the CERN Large Hadron Collider with the ATLAS detector are presented. The data set used corresponds to an integrated luminosity of 28.1 nb-1. The J/ψ mesons are reconstructed in the dimuon decay channel over the transverse momentum range 8region of higher transverse momentum and more central rapidity. They thus constrain the kinematic dependence of nuclear modifications of charmonium and b-quark production in p+Pb collisions.

  16. Students benefit the Laboratory and the region

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Students benefit the Laboratory and the region Community Connections: Your link to news and opportunities from Los Alamos National Laboratory Latest Issue:November 2, 2016 all issues All Issues » submit Students benefit the Laboratory and the region More than 1,000 students arrive for the summer June 1, 2013 Student Student performs experiment at the Trident Laser Facility Contact Editor Linda Anderman Email Community Programs Office Kurt Steinhaus Email Each year, approximately 1,000 students

  17. State and Regional Energy Risk Assessment Initiative

    Energy.gov [DOE]

    OE is leading a State and Regional Energy Risk Assessment Initiative to help States better understand risks to their energy infrastructure so they can be better prepared to make informed decisions about their investments, resilience and hardening strategies, and asset management. As part of this Initiative, OE has developed a series of State and Regional Energy Risk Profiles that examine the relative magnitude of the risks that each State's energy infrastructure routinely encounters in comparison with the probable impacts.

  18. Clean Energy Manufacturing Initiative Southeast Regional Summit

    Energy.gov [DOE]

    As part of the Clean Energy Manufacturing Initiative (CEMI), the U.S. Department of Energy (DOE) organizes regional summits around the country to expand its partnerships, share resources and successes, and refine its strategy to boost U.S. competitiveness in clean energy manufacturing. The CEMI Southeast Regional Summit, which will be held on July 9, 2015 at the Renaissance Atlanta Midtown Hotel in Atlanta, Georgia, is the third in this series.

  19. Residential market transformation: National and regional indicators

    SciTech Connect

    Van Wie McGrory, Laura L.; McNamara, Maureen; Suozzo, Margaret

    2000-06-01

    A variety of programs are underway to address market barriers to the adoption of energy-efficient residential technologies and practices. Most are administered by utilities, states, or regions that rely on the Energy Star as a consistent platform for program marketing and messaging. This paper reviews regional and national market transformation activities for three key residential end-uses -- air conditioning, clothes washing, and lighting -- characterizing current and ongoing programs; reporting on progress; identifying market indicators; and discussing implications.

  20. Clean Cities Coalition Regions | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Clean Cities Coalition Regions Clean Cities Coalition Regions Nearly 100 Clean Cities coalitions work to reduce petroleum use in communities across the country. Led by Clean Cities coordinators, coalitions are composed of businesses, fuel providers, vehicle fleets, state and local government agencies, and community organizations. These stakeholders come together to share information and resources, educate the public, help craft public policy, and collaborate on projects that reduce petroleum

  1. State of Alaska Regional Energy Planning

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Tribal Energy Summit September 24, 2015 State of Alaska Regional Energy Planning Solar Energy Anaktuvuk Pass, Alaska Humpback Creek Hydroelectric Cordova, Alaska Wind Diesel Generation Selawik, Alaska WHPacific, Inc. REGIONAL PLANNING ZONES:  North Slope  Northwest Arctic  Bering Straits  Interior (YK/Upper Tanana)  YK Delta (Lower Yukon- Kuskokwim)  Chugach Logistics Reality Alaska Arctic Communities: Energy Platform A Holistic Approach Infrastructure Housing Water Systems

  2. Enforcement Policy Statement: Regional Standards Enforcement Rulemaking

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Regional Standards Enforcement Rulemaking and Distributors April 24, 2014 On June 27, 2011, the Department of Energy (DOE) published in the Federal Register a direct final rule (DFR) under the Energy Policy and Conservation Act (EPCA), 42 U.S.C. §§ 6291-6309, which set forth amended energy conservation standards for central air conditioners and heat pumps, including regional standards in certain States. 76 FR 37408. DOE has initiated a rulemaking to consider possible approaches to enforcing

  3. LANL subcontractor supports the region: SOC

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    LANL Subcontractor Supports The Region Community Connections: Your link to news and opportunities from Los Alamos National Laboratory Latest Issue:November 2, 2016 all issues All Issues » submit LANL subcontractor supports the region: SOC The company's financial giving has benefited numerous organizations across the economic development, education, and giving sectors. January 1, 2013 dummy image Read our archives Contacts Editor Linda Anderman Email Community Programs Office Kurt Steinhaus

  4. 2016 Argonne Regional Science Bowl | Argonne National Laboratory

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Argonne Regional Science Bowl 2016 Argonne Regional Middle School Science Bowl 1 of 29 2016 Argonne Regional Middle School Science Bowl Photographer: Wes Agresta 2016 Argonne Regional Middle School Science Bowl 1 of 29 2016 Argonne Regional Middle School Science Bowl Photographer: Wes Agresta 2016 Argonne Regional Middle School Science Bowl 2 of 29 2016 Argonne Regional Middle School Science Bowl Photographer: Wes Agresta 2016 Argonne Regional Middle School Science Bowl 3 of 29 2016 Argonne

  5. [CII] dynamics in the S140 region

    SciTech Connect

    Dedes, C.; Rllig, M.; Okada, Y.; Ossenkopf, V.; Mookerjea, B.; Collaboration: WADI Team

    2015-01-22

    We report the observation of [C II] emission in a cut through the S140 region together with single pointing observations of several molecular tracers, including hydrides, in key regions of the photon-dominated region (PDR) and molecular cloud [1]. At a distance of 910 pc, a BOV star ionizes the edge of the molecular cloud L1204, creating S140. In addition, the dense molecular cloud hosts a cluster of embedded massive young stellar objects only 75' from the H II region [e.g. 2, 3]. We used HIFI on Herschel to observe [CII] in a strip following the direction of the impinging radiation across the ionisation front and through the cluster of embedded YSOs. With [C II], we can trace the ionising radiation and, together with the molecular tracers such as CO isotopologues and HCO{sup +}, study the dynamical processes in the region. Combining HIFIs high spectral resolution data with ground based molecular data allows us to study the dynamics and excitation conditions both in the ionization front and the dense molecular star forming region and model their physical conditions [4].

  6. Automatic segmentation of head and neck CT images for radiotherapy treatment planning using multiple atlases, statistical appearance models, and geodesic active contours

    SciTech Connect

    Fritscher, Karl D. Sharp, Gregory; Peroni, Marta; Zaffino, Paolo; Spadea, Maria Francesca; Schubert, Rainer

    2014-05-15

    Purpose: Accurate delineation of organs at risk (OARs) is a precondition for intensity modulated radiation therapy. However, manual delineation of OARs is time consuming and prone to high interobserver variability. Because of image artifacts and low image contrast between different structures, however, the number of available approaches for autosegmentation of structures in the head-neck area is still rather low. In this project, a new approach for automated segmentation of head-neck CT images that combine the robustness of multiatlas-based segmentation with the flexibility of geodesic active contours and the prior knowledge provided by statistical appearance models is presented. Methods: The presented approach is using an atlas-based segmentation approach in combination with label fusion in order to initialize a segmentation pipeline that is based on using statistical appearance models and geodesic active contours. An anatomically correct approximation of the segmentation result provided by atlas-based segmentation acts as a starting point for an iterative refinement of this approximation. The final segmentation result is based on using model to image registration and geodesic active contours, which are mutually influencing each other. Results: 18 CT images in combination with manually segmented labels of parotid glands and brainstem were used in a leave-one-out cross validation scheme in order to evaluate the presented approach. For this purpose, 50 different statistical appearance models have been created and used for segmentation. Dice coefficient (DC), mean absolute distance and max. Hausdorff distance between the autosegmentation results and expert segmentations were calculated. An average Dice coefficient of DC = 0.81 (right parotid gland), DC = 0.84 (left parotid gland), and DC = 0.86 (brainstem) could be achieved. Conclusions: The presented framework provides accurate segmentation results for three important structures in the head neck area. Compared to a

  7. Measurement of Hadronic Event Shapes and Jet Substructure in Proton-Proton Collisions at 7.0 TeV Center-of-Mass Energy with the ATLAS Detector at the Large Hadron Collider

    SciTech Connect

    Miller, David Wilkins

    2012-03-20

    This thesis presents the first measurement of 6 hadronic event shapes in proton-proton collisions at a center-of-mass energy of {radical}s = 7 TeV using the ATLAS detector at the Large Hadron Collider. Results are presented at the particle-level, permitting comparisons to multiple Monte Carlo event generator tools. Numerous tools and techniques that enable detailed analysis of the hadronic final state at high luminosity are described. The approaches presented utilize the dual strengths of the ATLAS calorimeter and tracking systems to provide high resolution and robust measurements of the hadronic jets that constitute both a background and a signal throughout ATLAS physics analyses. The study of the hadronic final state is then extended to jet substructure, where the energy flow and topology within individual jets is studied at the detector level and techniques for estimating systematic uncertainties for such measurements are commissioned in the first data. These first substructure measurements in ATLAS include the jet mass and sub-jet multiplicity as well as those concerned with multi-body hadronic decays and color flow within jets. Finally, the first boosted hadronic object observed at the LHC - the decay of the top quark to a single jet - is presented.

  8. Search for single top-quark production via flavour-changing neutral currents at 8 TeV with the ATLAS detector

    DOE PAGES [OSTI]

    Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Aben, R.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; Abreu, H.; Abreu, R.; et al

    2016-01-29

    A search for single top-quark production via flavour-changing neutral current processes from gluon plus up- or charm-quark initial states in proton–proton collisions at the LHC is presented. Data collected with the ATLAS detector in 2012 at a centre-of-mass energy of 8 TeV and corresponding to an integrated luminosity of 20.3 fb–1 are used. Furthermore, candidate events for a top quark decaying into a lepton, a neutrino and a jet are selected and classified into signal- and background-like candidates using a neural network.

  9. Study of the B+c → J/ΨD+s and B+c → J/ΨD*s+ decays with the ATLAS detector

    DOE PAGES [OSTI]

    Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Aben, R.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; Abreu, H.; Abreu, R.; et al

    2016-01-05

    The decays B+c → J/ΨD+s and B+c → J/ΨD*s+ are studied with the ATLAS detector at the LHC using a dataset corresponding to integrated luminosities of 4.9 and 20.6 fb–1 of pp collisions collected at centre-of-mass energies √s = 7 TeV and 8 TeV, respectively. Furthermore, signal candidates are identified through J/ψ → μ+μ- and D(*)+s → Φπ+(γ/π0) decays.

  10. Search for High-Mass States with One Lepton Plus Missing Transverse Momentum in Proton-Proton Collisions at $\\sqrt{s} with the ATLAS Detector

    SciTech Connect

    Aad, Georges; Abbott, Brad; Abdallah, Jalal; Abdelalim, Ahmed Ali; Abdesselam, Abdelouahab; Abdinov, Ovsat; Abi, Babak; Abolins, Maris; Abramowicz, Halina; Abreu, Henso; Acerbi, Emilio; Acharya, Bobby Samir; Adams, David; Addy, Tetteh; Adelman, Jahred; Aderholz, Michael; Adomeit, Stefanie; Adragna, Paolo; Adye, Tim; Aefsky, Scott; Aguilar-Saavedra, Juan Antonio; /Freiburg U. /Oklahoma U. /Barcelona, IFAE /Geneva U. /Oxford U. /Baku, Inst. Phys. /Oklahoma State U. /Michigan State U. /Tel Aviv U. /Orsay, LAL /INFN, Milan /Milan U. /INFN, Udine /ICTP, Trieste /Brookhaven /Hampton U. /Yale U. /Heidelberg, Max Planck Inst. /Munich U. /Queen Mary, U. of London /Rutherford

    2012-06-20

    The ATLAS detector is used to search for high-mass states, such as heavy charged gauge bosons (W{prime},W*), decaying to a charged lepton (electron or muon) and a neutrino. Results are presented based on the analysis of ppcollisions at a center-of-mass energy of 7 TeV corresponding to an integrated luminosity of 36 pb{sup -1}. No excess beyond standard model expectations is observed. A W{prime} with sequential standard model couplings is excluded at 95% confidence level for masses below 1.49 TeV, and a W* (charged chiral boson) for masses below 1.35 TeV.

  11. Search for heavy long-lived multi-charged particles in pp collisions at √s = 8  TeV using the ATLAS detector

    DOE PAGES [OSTI]

    None

    2015-08-08

    A search for heavy long-lived multi-charged particles is performed using the ATLAS detector at the LHC. Data collected in 2012 at √s = 8 TeV from pp collisions corresponding to an integrated luminosity of 20.3 fb-1 are examined. Particles producing anomalously high ionisation, consistent with long-lived massive particles with electric charges from |q| = 2e to |q| = 6e are searched for. No signal candidate events are observed, and 95 % confidence level cross-section upper limits are interpreted as lower mass limits for a Drell–Yan production model. The mass limits range between 660 and 785 GeV.

  12. Sources of machine-induced background in the ATLAS and CMS detectors at the CERN Large Hadron Collider

    SciTech Connect

    Bruce, R.; et al.,

    2013-11-21

    One source of experimental background in the CERN Large Hadron Collider (LHC) is particles entering the detectors from the machine. These particles are created in cascades, caused by upstream interactions of beam protons with residual gas molecules or collimators. We estimate the losses on the collimators with SixTrack and simulate the showers with FLUKA and MARS to obtain the flux and distribution of particles entering the ATLAS and CMS detectors. We consider some machine configurations used in the first LHC run, with focus on 3.5 TeV operation as in 2011. Results from FLUKA and MARS are compared and a very good agreement is found. An analysis of logged LHC data provides, for different processes, absolute beam loss rates, which are used together with further simulations of vacuum conditions to normalize the results to rates of particles entering the detectors. We assess the relative importance of background from elastic and inelastic beam-gas interactions, and the leakage out of the LHC collimation system, and show that beam-gas interactions are the dominating source of machine-induced background for the studied machine scenarios. Our results serve as a starting point for the experiments to perform further simulations in order to estimate the resulting signals in the detectors.

  13. Search for Dilepton Resonances in pp Collisions at √s=7 TeV with the ATLAS Detector

    DOE PAGES [OSTI]

    Aad, G.; Abbott, B.; Abdallah, J.; Abdelalim, A. A.; Abdesselam, A.; Abdinov, O.; Abi, B.; Abolins, M.; Abramowicz, H.; Abreu, H.; et al

    2011-12-29

    This Letter reports on a search for narrow high-mass resonances decaying into dilepton final states. The data were recorded by the ATLAS experiment in pp collisions at √s=7 TeV at the Large Hadron Collider and correspond to a total integrated luminosity of 1.08 (1.21) fb⁻¹ in the e⁺e⁻ (μ⁺μ⁻) channel. No statistically significant excess above the standard model expectation is observed and upper limits are set at the 95% C.L. on the cross section times branching fraction of Z' resonances and Randall-Sundrum gravitons decaying into dileptons as a function of the resonance mass. A lower mass limit of 1.83 TeVmore » on the sequential standard model Z' boson is set. A Randall-Sundrum graviton with coupling k/M¯¯¯¯Pl=0.1 is excluded at 95% C.L. for masses below 1.63 TeV.« less

  14. Jet mass and substructure of inclusive jets in root s=7 TeV pp collisions with the ATLAS experiment

    SciTech Connect

    Aad G.; Abbott, B.; Abdallah, J.; Khalek, S. Abdel; Abdelalim, A. A.; Abdesselam, A.; Abdinov, O.; Abi, B.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; Abreu, H.; Acerbi, E.; Acharya, B. S.; Adamezyk, L.; Adams, D. L.; Addy, T. N.; Adelman, J.; Aderholz, M.; et al.

    2012-05-01

    Recent studies have highlighted the potential of jet substructure techniques to identify the hadronic decays of boosted heavy particles. These studies all rely upon the assumption that the internal substructure of jets generated by QCD radiation is well understood. In this article, this assumption is tested on an inclusive sample of jets recorded with the ATLAS detector in 2010, which corresponds to 35 pb{sup -1} of pp collisions delivered by the LHC at {radical}s = 7 TeV. In a subsample of events with single pp collisions, measurements corrected for detector efficiency and resolution are presented with full systematic uncertainties. Jet invariant mass, k{sub t} splitting scales and N-subjettiness variables are presented for anti-k{sub t} R = 1.0 jets and Cambridge-Aachen R = 1.2 jets. Jet invariant-mass spectra for Cambridge-Aachen R = 1.2 jets after a splitting and filtering procedure are also presented. Leading-order parton-shower Monte Carlo predictions for these variables are found to be broadly in agreement with data. The dependence of mean jet mass on additional pp interactions is also explored.

  15. Study of the spin and parity of the Higgs boson in diboson decays with the ATLAS detector

    SciTech Connect

    Aad, G.

    2015-10-06

    Studies of the spin, parity and tensor couplings of the Higgs boson in the H→ZZ*→4ℓ, H→WW*→eνμν and H→γγ decay processes at the LHC are presented. The investigations are based on 25fb–1 of pp collision data collected by the ATLAS experiment at √s=7 TeV and √s=8 TeV. The Standard Model (SM) Higgs boson hypothesis, corresponding to the quantum numbers JP=0+, is tested against several alternative spin scenarios, including non-SM spin-0 and spin-2 models with universal and non-universal couplings to fermions and vector bosons. All tested alternative models are excluded in favour of the SM Higgs boson hypothesis at more than 99.9 % confidence level. Using the H→ZZ*→4ℓ and H→WW*→eνμν decays, the tensor structure of the interaction between the spin-0 boson and the SM vector bosons is also investigated. Thus, the observed distributions of variables sensitive to the non SM tensor couplings are compatible with the SM predictions and constraints on the non SM couplings are derived.

  16. Search for dark matter in events with heavy quarks and missing transverse momentum in pp collisions with the ATLAS detector

    DOE PAGES [OSTI]

    Aad, G.

    2015-02-24

    This article reports on a search for dark matter pair production in association with bottom or top quarks in 20.3 fb–1 of pp collisions collected at √s=8 TeV by the ATLAS detector at the LHC. Events with large missing transverse momentum are selected when produced in association with high-momentum jets of which one or more are identified as jets containing b-quarks. Final states with top quarks are selected by requiring a high jet multiplicity and in some cases a single lepton. The data are found to be consistent with the Standard Model expectations and limits are set on the massmore » scale of effective field theories that describe scalar and tensor interactions between dark matter and Standard Model particles. Limits on the dark-matter–nucleon cross-section for spin-independent and spin-dependent interactions are also provided. These limits are particularly strong for low-mass dark matter. Using a simplified model, constraints are set on the mass of dark matter and of a colored mediator suitable to explain a possible signal of annihilating dark matter.« less

  17. Study of the spin and parity of the Higgs boson in diboson decays with the ATLAS detector

    DOE PAGES [OSTI]

    Aad, G.

    2015-10-06

    Studies of the spin, parity and tensor couplings of the Higgs boson in the H→ZZ*→4ℓ, H→WW*→eνμν and H→γγ decay processes at the LHC are presented. The investigations are based on 25fb–1 of pp collision data collected by the ATLAS experiment at √s=7 TeV and √s=8 TeV. The Standard Model (SM) Higgs boson hypothesis, corresponding to the quantum numbers JP=0+, is tested against several alternative spin scenarios, including non-SM spin-0 and spin-2 models with universal and non-universal couplings to fermions and vector bosons. All tested alternative models are excluded in favour of the SM Higgs boson hypothesis at more than 99.9more » % confidence level. Using the H→ZZ*→4ℓ and H→WW*→eνμν decays, the tensor structure of the interaction between the spin-0 boson and the SM vector bosons is also investigated. Thus, the observed distributions of variables sensitive to the non SM tensor couplings are compatible with the SM predictions and constraints on the non SM couplings are derived.« less

  18. Measurement of the muon reconstruction performance of the ATLAS detector using 2011 and 2012 LHC proton–proton collision data

    DOE PAGES [OSTI]

    Aad, G.

    2014-11-26

    This study presents the performance of the ATLAS muon reconstruction during the LHC run with pp collisions at √s = 7–8 TeV in 2011–2012, focusing mainly on data collected in 2012. Measurements of the reconstruction efficiency and of the momentum scale and resolution, based on large reference samples of J/ψ → μμ, Z → μμ and Υ → μμ decays, are presented and compared to Monte Carlo simulations. Corrections to the simulation, to be used in physics analysis, are provided. Over most of the covered phase space (muon |η| < 2.7 and 5 ≲ pT ≲ 100 GeV) the efficiencymore » is above 99% and is measured with per-mille precision. The momentum resolution ranges from 1.7% at central rapidity and for transverse momentum pT ≃ 10 GeV, to 4% at large rapidity and pT ≃ 100 GeV. The momentum scale is known with an uncertainty of 0.05% to 0.2% depending on rapidity. A method for the recovery of final state radiation from the muons is also presented.« less

  19. Search for resonances in diphoton events at $$\\sqrt{s}=13 $$ TeV with the ATLAS detector

    DOE PAGES [OSTI]

    Aaboud, M.; Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Abeloos, B.; Aben, R.; AbouZeid, O. S.; Abraham, N. L.; Abramowicz, H.; et al

    2016-09-01

    Searches for new resonances decaying into two photons in the ATLAS experiment at the CERN Large Hadron Collider are described. The analysis is based on proton-proton collision data corresponding to an integrated luminosity of 3.2 fb–1 at √s = 13 TeV recorded in 2015. Two searches are performed, one targeted at a spin-2 particle of mass larger than 500 GeV, using Randall-Sundrum graviton states as a benchmark model, and one optimized for a spin-0 particle of mass larger than 200 GeV. Varying both the mass and the decay width, the most significant deviation from the background-only hypothesis is observed atmore » a diphoton invariant mass around 750 GeV with local significances of 3.8 and 3.9 standard deviations in the searches optimized for a spin-2 and spin-0 particle, respectively. The global significances are estimated to be 2.1 standard deviations for both analyses. As a result, the consistency between the data collected at 13 TeV and 8 TeV is also evaluated. Limits on the production cross section times branching ratio to two photons for the two resonance types are reported.« less

  20. Measurement of the relative width difference of the $$$ {B}^0\\hbox{-} {\\overline{B}}^0 $$$ system with the ATLAS detector

    DOE PAGES [OSTI]

    Aaboud, M.; Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Abeloos, B.; Aben, R.; AbouZeid, O. S.; Abraham, N. L.; Abramowicz, H.; et al

    2016-06-14

    This study presents the measurement of the relative width difference ΔΓ d /Γ d of the B0-B¯¯¯¯0 system using the data collected by the ATLAS experiment at the LHC in pp collisions at √s=7 TeV and √s=8 TeV and corresponding to an integrated luminosity of 25.2 fb-1. The value of ΔΓ d /Γ d is obtained by comparing the decay-time distributions of B 0 → J/ψK S and B 0 → J/ψK *0(892) decays. The result is ΔΓ d /Γ d = (-0.1±1.1 (stat.)± 0.9 (syst.)) × 10-2. Currently, this is the most precise single measurement of ΔΓ d /Γmore » d . Finally, it agrees with the Standard Model prediction and the measurements by other experiments.« less