Sample records for reconstruction cxs applied

  1. Software Environment for the Implementation of Tomographic Reconstruction Algorithms Applied to Cases of Few Projections

    SciTech Connect (OSTI)

    Rios, A. B. [Escuela de Ciencia y Tecnologia--Universidad Nacional de San Martin (UNSAM) (Argentina); Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET) (Argentina); Valda, A.; Somacal, H. [Escuela de Ciencia y Tecnologia-Universidad Nacional de San Martin (UNSAM) (Argentina); Laboratorio Tandar, Comision Nacional de Energia Atomica (CNEA) (Argentina)

    2007-10-26T23:59:59.000Z

    Usually tomographic procedure requires a set of projections around the object under study and a mathematical processing of such projections through reconstruction algorithms. An accurate reconstruction requires a proper number of projections (angular sampling) and a proper number of elements in each projection (linear sampling). However in several practical cases it is not possible to fulfill these conditions leading to the so-called problem of few projections. In this case, iterative reconstruction algorithms are more suitable than analytic ones. In this work we present a program written in C++ that provides an environment for two iterative algorithm implementations, one algebraic and the other statistical. The software allows the user a full definition of the acquisition and reconstruction geometries used for the reconstruction algorithms but also to perform projection and backprojection operations. A set of analysis tools was implemented for the characterization of the convergence process. We analyze the performance of the algorithms on numerical phantoms and present the reconstruction of experimental data with few projections coming from transmission X-ray and micro PIXE (Particle-Induced X-Ray Emission) images.

  2. A full-spectral Bayesian reconstruction approach based on the material decomposition model applied in dual-energy computed tomography

    SciTech Connect (OSTI)

    Cai, C. [CEA, LIST, 91191 Gif-sur-Yvette, France and CNRS, SUPELEC, UNIV PARIS SUD, L2S, 3 rue Joliot-Curie, 91192 Gif-sur-Yvette (France)] [CEA, LIST, 91191 Gif-sur-Yvette, France and CNRS, SUPELEC, UNIV PARIS SUD, L2S, 3 rue Joliot-Curie, 91192 Gif-sur-Yvette (France); Rodet, T.; Mohammad-Djafari, A. [CNRS, SUPELEC, UNIV PARIS SUD, L2S, 3 rue Joliot-Curie, 91192 Gif-sur-Yvette (France)] [CNRS, SUPELEC, UNIV PARIS SUD, L2S, 3 rue Joliot-Curie, 91192 Gif-sur-Yvette (France); Legoupil, S. [CEA, LIST, 91191 Gif-sur-Yvette (France)] [CEA, LIST, 91191 Gif-sur-Yvette (France)

    2013-11-15T23:59:59.000Z

    Purpose: Dual-energy computed tomography (DECT) makes it possible to get two fractions of basis materials without segmentation. One is the soft-tissue equivalent water fraction and the other is the hard-matter equivalent bone fraction. Practical DECT measurements are usually obtained with polychromatic x-ray beams. Existing reconstruction approaches based on linear forward models without counting the beam polychromaticity fail to estimate the correct decomposition fractions and result in beam-hardening artifacts (BHA). The existing BHA correction approaches either need to refer to calibration measurements or suffer from the noise amplification caused by the negative-log preprocessing and the ill-conditioned water and bone separation problem. To overcome these problems, statistical DECT reconstruction approaches based on nonlinear forward models counting the beam polychromaticity show great potential for giving accurate fraction images.Methods: This work proposes a full-spectral Bayesian reconstruction approach which allows the reconstruction of high quality fraction images from ordinary polychromatic measurements. This approach is based on a Gaussian noise model with unknown variance assigned directly to the projections without taking negative-log. Referring to Bayesian inferences, the decomposition fractions and observation variance are estimated by using the joint maximum a posteriori (MAP) estimation method. Subject to an adaptive prior model assigned to the variance, the joint estimation problem is then simplified into a single estimation problem. It transforms the joint MAP estimation problem into a minimization problem with a nonquadratic cost function. To solve it, the use of a monotone conjugate gradient algorithm with suboptimal descent steps is proposed.Results: The performance of the proposed approach is analyzed with both simulated and experimental data. The results show that the proposed Bayesian approach is robust to noise and materials. It is also necessary to have the accurate spectrum information about the source-detector system. When dealing with experimental data, the spectrum can be predicted by a Monte Carlo simulator. For the materials between water and bone, less than 5% separation errors are observed on the estimated decomposition fractions.Conclusions: The proposed approach is a statistical reconstruction approach based on a nonlinear forward model counting the full beam polychromaticity and applied directly to the projections without taking negative-log. Compared to the approaches based on linear forward models and the BHA correction approaches, it has advantages in noise robustness and reconstruction accuracy.

  3. Spectral-phase interferometry for direct electric-field reconstruction applied to seeded extreme-ultraviolet free-electron lasers

    E-Print Network [OSTI]

    Mahieu, Benoît; De Ninno, Giovanni; Dacasa, Hugo; Lozano, Magali; Rousseau, Jean-Philippe; Zeitoun, Philippe; Garzella, David; Merdji, Hamed

    2015-01-01T23:59:59.000Z

    We present a setup for complete characterization of femtosecond pulses generated by seeded free-electron lasers (FEL's) in the extreme-ultraviolet spectral region. Two delayed and spectrally shifted replicas are produced and used for spectral phase interferometry for direct electric field reconstruction (SPIDER). We show that it can be achieved by a simple arrangement of the seed laser. Temporal shape and phase obtained in FEL simulations are well retrieved by the SPIDER reconstruction, allowing to foresee the implementation of this diagnostic on existing and future sources. This will be a significant step towards an experimental investigation and control of FEL spectral phase.

  4. Apply

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternative FuelsSanta3Appliance andApplicationBerkeleyAppliedApply

  5. Technical basis for dose reconstruction

    SciTech Connect (OSTI)

    Anspaugh, L.R.

    1996-01-31T23:59:59.000Z

    The purpose of this paper is to consider two general topics: technical considerations of why dose-reconstruction studies should or should not be performed and methods of dose reconstruction. The first topic is of general and growing interest as the number of dose-reconstruction studies increases, and one asks the question whether it is necessary to perform a dose reconstruction for virtually every site at which, for example, the Department of Energy (DOE) has operated a nuclear-related facility. And there is the broader question of how one might logically draw the line at performing or not performing dose-reconstruction (radiological and chemical) studies for virtually every industrial complex in the entire country. The second question is also of general interest. There is no single correct way to perform a dose-reconstruction study, and it is important not to follow blindly a single method to the point that cheaper, faster, more accurate, and more transparent methods might not be developed and applied.

  6. Shape reconstruction from gradient data

    SciTech Connect (OSTI)

    Ettl, Svenja; Kaminski, Juergen; Knauer, Markus C.; Haeusler, Gerd

    2008-04-20T23:59:59.000Z

    We present a generalized method for reconstructing the shape of an object from measured gradient data. A certain class of optical sensors does not measure the shape of an object but rather its local slope. These sensors display several advantages, including high information efficiency, sensitivity, and robustness. For many applications, however, it is necessary to acquire the shape, which must be calculated from the slopes by numerical integration. Existing integration techniques show drawbacks that render them unusable in many cases. Our method is based on an approximation employing radial basis functions. It can be applied to irregularly sampled, noisy, and incomplete data, and it reconstructs surfaces both locally and globally with high accuracy.

  7. CX-009287: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Reconstructing Paleo-SMT Positions on the Cascadia Margin Using Magnetic Susceptibility CX(s) Applied: A9, B3.6 Date: 09/07/2012 Location(s): New Hampshire Offices(s): National Energy Technology Laboratory

  8. CX-009291: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Reconstructing Paleo-SMT Positions on the Cascadia Margin Using Magnetic Susceptibility CX(s) Applied: B3.6 Date: 09/07/2012 Location(s): Texas Offices(s): National Energy Technology Laboratory

  9. Ptychographic ultrafast pulse reconstruction

    E-Print Network [OSTI]

    Spangenberg, D; Brügmann, M H; Feurer, T

    2014-01-01T23:59:59.000Z

    We demonstrate a new ultrafast pulse reconstruction modality which is somewhat reminiscent of frequency resolved optical gating but uses a modified setup and a conceptually different reconstruction algorithm that is derived from ptychography. Even though it is a second order correlation scheme it shows no time ambiguity. Moreover, the number of spectra to record is considerably smaller than in most other related schemes which, together with a robust algorithm, leads to extremely fast convergence of the reconstruction.

  10. Review of structure representation and reconstruction on mesoscale and microscale

    SciTech Connect (OSTI)

    Li, Dongsheng

    2014-05-01T23:59:59.000Z

    Structure representation and reconstruction on mesoscale and microscale is critical in material design, advanced manufacturing and multiscale modeling. Microstructure reconstruction has been applied in different areas of materials science and technology, structural materials, energy materials, geology, hydrology, etc. This review summarizes the microstructure descriptors and formulations used to represent and algorithms to reconstruct structures at microscale and mesoscale. In the stochastic methods using correlation function, different optimization approaches have been adapted for objective function minimization. A variety of reconstruction approaches are compared in efficiency and accuracy.

  11. Jet Reconstruction at RHIC

    E-Print Network [OSTI]

    Sevil Salur; for the STAR Collaboration

    2010-05-14T23:59:59.000Z

    Full jet reconstruction in heavy-ion collisions is expected to provide more sensitive measurements of jet quenching in hot QCD matter at RHIC. In this paper we review recent studies of jets utilizing modern jet reconstruction algorithms and their corresponding background subtraction techniques.

  12. Microwave-induced thermoacoustic tomography: reconstruction by synthetic aperture

    E-Print Network [OSTI]

    Feng, Dazi

    2001-01-01T23:59:59.000Z

    was applied for image reconstruction. We greatly improved the lateral resolution of images and acquired a clear view of the circular boundaries of buried cylindrical objects, which could not be obtained in conventional linear-scanning microwave...

  13. atomic potential reconstruction: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    incomplete tomographic-like data. The proposed scheme is based on the Jaynes principle of Maximum Entropy. We apply our algorithm for a reconstruction of motional quantum states of...

  14. Lagrangian reconstruction of cosmic velocity fields

    E-Print Network [OSTI]

    G. Lavaux

    2008-01-28T23:59:59.000Z

    We discuss a Lagrangian reconstruction method of the velocity field from galaxy redshift catalog that takes its root in the Euler equation. This results in a ``functional'' of the velocity field which must be minimized. This is helped by an algorithm solving the minimization of cost-flow problems. The results obtained by applying this method to cosmological problems are shown and boundary effects happening in real observational cases are then discussed. Finally, a statistical model of the errors made by the reconstruction method is proposed.

  15. Overview of Image Reconstruction

    SciTech Connect (OSTI)

    Marr, R.B.

    1980-04-01T23:59:59.000Z

    Image reconstruction (or computerized tomography, etc.) is any process whereby a function, f, on Rn is estimated from empirical data pertaining to its integrals, ∫f(x) dx, for some collection of hyperplanes of dimension k < n. The paper begins with background information on how image reconstruction problems have arisen in practice, and describes some of the application areas of past or current interest; these include radioastronomy, optics, radiology and nuclear medicine, electron microscopy, acoustical imaging, geophysical tomography, nondestructive testing, and NMR zeugmatography. Then the various reconstruction algorithms are discussed in five classes: summation, or simple back-projection; convolution, or filtered back-projection; Fourier and other functional transforms; orthogonal function series expansion; and iterative methods. Certain more technical mathematical aspects of image reconstruction are considered from the standpoint of uniqueness, consistency, and stability of solution. The paper concludes by presenting certain open problems. 73 references. (RWR)

  16. Reconstruction algorithms for MRI

    E-Print Network [OSTI]

    Bilgic?, Berkin

    2013-01-01T23:59:59.000Z

    This dissertation presents image reconstruction algorithms for Magnetic Resonance Imaging (MRI) that aims to increase the imaging efficiency. Algorithms that reduce imaging time without sacrificing the image quality and ...

  17. Reconstructing Cortical Dynamics with Magnetoencephalography

    E-Print Network [OSTI]

    Dalal, Sarang S.

    2007-01-01T23:59:59.000Z

    of adequately validated meth- ods for reconstructing suchdevelopment of statistical meth- ods used in this chapter,

  18. Cheminformatics for genome-scale metabolic reconstructions

    E-Print Network [OSTI]

    May, John W.

    2015-01-06T23:59:59.000Z

    of a cell can be organised and studied as a cellular wiring diagram, a genetic circuit. Different realisations of genetic circuits have been created and applied to multiple cellular processes, including but not limited to: regulation, signalling... -SEED web application is an automated pipeline for high-throughput cre- ation of draft reconstructions [59]. Although described as draft, steps listed in the re- finement and validation stages are included. The auto-complete optimisation proce- dure resolves...

  19. Investigation on reconstruction methods applied to 3D terahertz computed

    E-Print Network [OSTI]

    Boyer, Edmond

    , and D. M. Mittleman, "Imaging with terahertz radiation," Rep. Prog. Phys. 70, 1325-1379 (2007). 2. K. Kawase, Y. Ogawa, Y. Watanabe, and H. Inoue, "Non-destructive terahertz imaging of illicit drugs using. R. Tribe, and M. C. Kemp, "Detection and identification of explosives using terahertz pulsed

  20. Simultaneous segmentation and reconstruction: A level set method approach for limited view computed tomography

    SciTech Connect (OSTI)

    Yoon, Sungwon; Pineda, Angel R.; Fahrig, Rebecca [Department of Radiology, Stanford University, Stanford, California 94305 (United States); Department of Mathematics, California State University, Fullerton, California 92834 (United States); Department of Radiology, Stanford University, Stanford, California 94305 (United States)

    2010-05-15T23:59:59.000Z

    Purpose: An iterative tomographic reconstruction algorithm that simultaneously segments and reconstructs the reconstruction domain is proposed and applied to tomographic reconstructions from a sparse number of projection images. Methods: The proposed algorithm uses a two-phase level set method segmentation in conjunction with an iterative tomographic reconstruction to achieve simultaneous segmentation and reconstruction. The simultaneous segmentation and reconstruction is achieved by alternating between level set function evolutions and per-region intensity value updates. To deal with the limited number of projections, a priori information about the reconstruction is enforced via penalized likelihood function. Specifically, smooth function within each region (piecewise smooth function) and bounded function intensity values for each region are assumed. Such a priori information is formulated into a quadratic objective function with linear bound constraints. The level set function evolutions are achieved by artificially time evolving the level set function in the negative gradient direction; the intensity value updates are achieved by using the gradient projection conjugate gradient algorithm. Results: The proposed simultaneous segmentation and reconstruction results were compared to ''conventional'' iterative reconstruction (with no segmentation), iterative reconstruction followed by segmentation, and filtered backprojection. Improvements of 6%-13% in the normalized root mean square error were observed when the proposed algorithm was applied to simulated projections of a numerical phantom and to real fan-beam projections of the Catphan phantom, both of which did not satisfy the a priori assumptions. Conclusions: The proposed simultaneous segmentation and reconstruction resulted in improved reconstruction image quality. The algorithm correctly segments the reconstruction space into regions, preserves sharp edges between different regions, and smoothes the noise within each region. The proposed algorithm framework has the flexibility to be adapted to different a priori constraints while maintaining the benefits achieved by the simultaneous segmentation and reconstruction.

  1. Reconstruction in Fourier space

    E-Print Network [OSTI]

    Burden, Angela; Howlett, Cullan

    2015-01-01T23:59:59.000Z

    We present a fast iterative FFT-based reconstruction algorithm that allows for non- parallel redshift-space distortions (RSD). We test our algorithm on both N-body dark matter simulations and mock distributions of galaxies designed to replicate galaxy survey conditions. We compare solenoidal and irrotational components of the redshift distortion and show that an approximation of this distortion leads to a better estimate of the real-space potential (and therefore faster convergence) than ignoring the RSD when estimating the displacement field. Our iterative reconstruction scheme converges in two iterations for the mock samples corresponding to BOSS CMASS DR11 when we start with an approximation of the RSD. The scheme takes six iterations when the initial estimate, measured from the redshift-space overdensity, has no RSD correction. Slower convergence would be expected for surveys covering a larger angle on the sky. We show that this FFT based method provides a better estimate of the real space displacement fi...

  2. Hiring Reconstruction Reports

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh School football High SchoolBundles toHiring Reconstruction Reports

  3. Microwave-induced thermoacoustic tomography: Reconstruction by synthetic aperture

    E-Print Network [OSTI]

    Wang, Lihong

    Microwave-induced thermoacoustic tomography: Reconstruction by synthetic aperture Dazi Feng, Yuan thermoacoustic signals, to which the delay-and-sum algorithm was applied for image reconstruc- tion. We greatly-induced thermoacoustic tomography based on focused transducers. Two mi- crowave sources, which had frequencies of 9 and 3

  4. Metrological digital audio reconstruction

    DOE Patents [OSTI]

    Fadeyev; Vitaliy (Berkeley, CA), Haber; Carl (Berkeley, CA)

    2004-02-19T23:59:59.000Z

    Audio information stored in the undulations of grooves in a medium such as a phonograph record may be reconstructed, with little or no contact, by measuring the groove shape using precision metrology methods coupled with digital image processing and numerical analysis. The effects of damage, wear, and contamination may be compensated, in many cases, through image processing and analysis methods. The speed and data handling capacity of available computing hardware make this approach practical. Two examples used a general purpose optical metrology system to study a 50 year old 78 r.p.m. phonograph record and a commercial confocal scanning probe to study a 1920's celluloid Edison cylinder. Comparisons are presented with stylus playback of the samples and with a digitally re-mastered version of an original magnetic recording. There is also a more extensive implementation of this approach, with dedicated hardware and software.

  5. Reconstructing quantum theory

    E-Print Network [OSTI]

    Lucien Hardy

    2013-03-06T23:59:59.000Z

    We discuss how to reconstruct quantum theory from operational postulates. In particular, the following postulates are consistent only with for classical probability theory and quantum theory. Logical Sharpness: There is a one-to-one map between pure states and maximal effects such that we get unit probability. This maximal effect does not give probability equal to one for any other pure state. Information Locality: A maximal measurement is effected on a composite system if we perform maximal measurements on each of the components. Tomographic Locality: The state of a composite system can be determined from the statistics collected by making measurements on the components. Permutability: There exists a reversible transformation on any system effecting any given permutation of any given maximal set of distinguishable states for that system. Sturdiness: Filters are non-flattening. To single out quantum theory we need only add any requirement that is inconsistent with classical probability theory and consistent with quantum theory.

  6. Validation of plasma shape reconstruction by Cauchy condition surface method in KSTAR

    SciTech Connect (OSTI)

    Miyata, Y.; Suzuki, T.; Ide, S. [Japan Atomic Energy Agency, Naka, Ibaraki 311-0193 (Japan)] [Japan Atomic Energy Agency, Naka, Ibaraki 311-0193 (Japan); Hahn, S. H.; Chung, J.; Bak, J. G.; Ko, W. H. [National Fusion Research Institute, Daejeon 305-333 (Korea, Republic of)] [National Fusion Research Institute, Daejeon 305-333 (Korea, Republic of)

    2014-03-15T23:59:59.000Z

    Cauchy Condition Surface (CCS) method is a numerical approach to reconstruct the plasma boundary and calculate the quantities related to plasma shape using the magnetic diagnostics in real time. It has been applied to the KSTAR plasma in order to establish the plasma shape reconstruction with the high elongation of plasma shape and the large effect of eddy currents flowing in the tokamak structures for the first time. For applying the CCS calculation to the KSTAR plasma, the effects by the eddy currents and the ferromagnetic materials on the plasma shape reconstruction are studied. The CCS calculation includes the effect of eddy currents and excludes the magnetic diagnostics, which is expected to be influenced largely by ferromagnetic materials. Calculations have been performed to validate the plasma shape reconstruction in 2012 KSTAR experimental campaign. Comparison between the CCS calculation and non-magnetic measurements revealed that the CCS calculation can reconstruct the accurate plasma shape even with a small I{sub P}.

  7. Method for image reconstruction of moving radionuclide source distribution

    DOE Patents [OSTI]

    Stolin, Alexander V.; McKisson, John E.; Lee, Seung Joon; Smith, Mark Frederick

    2012-12-18T23:59:59.000Z

    A method for image reconstruction of moving radionuclide distributions. Its particular embodiment is for single photon emission computed tomography (SPECT) imaging of awake animals, though its techniques are general enough to be applied to other moving radionuclide distributions as well. The invention eliminates motion and blurring artifacts for image reconstructions of moving source distributions. This opens new avenues in the area of small animal brain imaging with radiotracers, which can now be performed without the perturbing influences of anesthesia or physical restraint on the biological system.

  8. An alternative to the crystallographic reconstruction of austenite in steels

    SciTech Connect (OSTI)

    Bernier, Nicolas, E-mail: n.bernier@yahoo.fr [OCAS N.V., ArcelorMittal R and D Gent, Pres. J.F. Kennedylaan 3, 9060 Zelzate (Belgium); Bracke, Lieven, E-mail: lieven.bracke@arcelormittal.com [OCAS N.V., ArcelorMittal R and D Gent, Pres. J.F. Kennedylaan 3, 9060 Zelzate (Belgium); Malet, Loïc; Godet, Stéphane [Université Libre de Bruxelles, 4 MAT (Materials Engineering, Characterisation, Synthesis and Recycling), Avenue F.D. Roosevelt 50, CP 194/03, 1050 Brussels (Belgium)

    2014-03-01T23:59:59.000Z

    An alternative crystallographic austenite reconstruction programme written in Matlab is developed by combining the best features of the existing models: the orientation relationship refinement, the local pixel-by-pixel analysis and the nuclei identification and spreading strategy. This programme can be directly applied to experimental electron backscatter diffraction mappings. Its applicability is demonstrated on both quenching and partitioning and as-quenched lath-martensite steels. - Highlights: • An alternative crystallographic austenite reconstruction program is developed. • The method combines a local analysis and a nuclei identification/spreading strategy. • The validity of the calculated orientation relationship is verified on a Q and P steel. • The accuracy of the reconstructed microtexture is investigated on a martensite steel.

  9. State Space Reconstruction for Multivariate Time Series Prediction

    E-Print Network [OSTI]

    I. Vlachos; D. Kugiumtzis

    2008-09-12T23:59:59.000Z

    In the nonlinear prediction of scalar time series, the common practice is to reconstruct the state space using time-delay embedding and apply a local model on neighborhoods of the reconstructed space. The method of false nearest neighbors is often used to estimate the embedding dimension. For prediction purposes, the optimal embedding dimension can also be estimated by some prediction error minimization criterion. We investigate the proper state space reconstruction for multivariate time series and modify the two abovementioned criteria to search for optimal embedding in the set of the variables and their delays. We pinpoint the problems that can arise in each case and compare the state space reconstructions (suggested by each of the two methods) on the predictive ability of the local model that uses each of them. Results obtained from Monte Carlo simulations on known chaotic maps revealed the non-uniqueness of optimum reconstruction in the multivariate case and showed that prediction criteria perform better when the task is prediction.

  10. Including stereoscopic information in the reconstruction of coronal magnetic fields

    E-Print Network [OSTI]

    T. Wiegelmann; T. Neukirch

    2008-01-23T23:59:59.000Z

    We present a method to include stereoscopic information about the three dimensional structure of flux tubes into the reconstruction of the coronal magnetic field. Due to the low plasma beta in the corona we can assume a force free magnetic field, with the current density parallel to the magnetic field lines. Here we use linear force free fields for simplicity. The method uses the line of sight magnetic field on the photosphere as observational input. The value of $\\alpha$ is determined iteratively by comparing the reconstructed magnetic field with the observed structures. The final configuration is the optimal linear force solution constrained by both the photospheric magnetogram and the observed plasma structures. As an example we apply our method to SOHO MDI/EIT data of an active region. In the future it is planned to apply the method to analyse data from the SECCHI instrument aboard the STEREO mission.

  11. Jet Reconstruction with charged tracks only in CMS

    E-Print Network [OSTI]

    Paolo Azzurri

    2009-01-12T23:59:59.000Z

    The performance of jet finding using only charged tracks in CMS has been investigated. Different jet algorithms have been applied to QCD di-jet events, to hadronic tt multi-jet events and on Z+jets events. Results using jets made with tracks only or calorimeter towers are compared for energy response, angular resolution and jet matching to the leading partons. The jet reconstruction performance in the presence of pile-up interactions is presented for the Z+jets sample.

  12. Noise Equivalent Counts Based Emission Image Reconstruction Algorithm of Tomographic Gamma Scanning

    E-Print Network [OSTI]

    Ke Wang; Zheng Li; Wei Feng; Dong Han

    2014-04-17T23:59:59.000Z

    Tomographic Gamma Scanning (TGS) is a technique used to assay the nuclide distribution and radioactivity in nuclear waste drums. Both transmission and emission scans are performed in TGS and the transmission image is used for the attenuation correction in emission reconstructions. The error of the transmission image, which is not considered by the existing reconstruction algorithms, negatively affects the final results. An emission reconstruction method based on Noise Equivalent Counts (NEC) is presented. Noises from the attenuation image are concentrated to the projection data to apply the NEC Maximum-Likelihood Expectation-Maximization algorithm. Experiments are performed to verify the effectiveness of the proposed method.

  13. Non-axisymmetric equilibrium reconstruction for stellarators, reversed field pinches and tokamaks

    SciTech Connect (OSTI)

    Hanson, James D. [Auburn University, Auburn, Alabama; Anderson, D.T. [University of Wisconsin, Madison; Cianciosa, M. [Auburn University, Auburn, Alabama; Franz, P. [EURATOM / ENEA, Italy; Harris, J. H. [Oak Ridge National Laboratory (ORNL); Hartwell, G. H. [Auburn University, Auburn, Alabama; Hirshman, Steven Paul [ORNL; Knowlton, Stephen F. [Auburn University, Auburn, Alabama; Lao, Lang L. [General Atomics, San Diego; Lazarus, Edward Alan [ORNL; Marrelli, L. [Association EURATOM ENEA Fusion, Consorzio RFX, Padua, Italy; Maurer, D. A. [Auburn University, Auburn, Alabama; Schmitt, J. C. [Princeton Plasma Physics Laboratory (PPPL); Sontag, A. C. [Oak Ridge National Laboratory (ORNL); Stevenson, B. A. [Auburn University, Auburn, Alabama; Terranova, D. [Association EURATOM ENEA Fusion, Consorzio RFX, Padua, Italy

    2013-01-01T23:59:59.000Z

    Axisymmetric equilibrium reconstruction using magnetohydrodynamic equilibrium solutions to the Grad Shafranov equation has long been an important tool for interpreting tokamak experiments. This paper describes recent results in non-axisymmetric (three-dimensional) equilibrium reconstruction of nominally axisymmetric plasmas (tokamaks and reversed field pinches (RFPs)), and fully non-axisymmetric plasmas (stellarators). Results from applying the V3FIT code to CTH and HSX stellarator plasmas, RFX-mod RFP plasmas and the DIII-D tokamak are presented.

  14. Reconstructing the Profile of Time-Varying Magnetic Fields With Quantum Sensors

    E-Print Network [OSTI]

    Easwar Magesan; Alexandre Cooper; Honam Yum; Paola Cappellaro

    2013-05-28T23:59:59.000Z

    Quantum systems have shown great promise for precision metrology thanks to advances in their control. This has allowed not only the sensitive estimation of external parameters but also the reconstruction of their temporal profile. In particular, quantum control techniques and orthogonal function theory have been applied to the reconstruction of the complete profiles of time-varying magnetic fields. Here, we provide a detailed theoretical analysis of the reconstruction method based on the Walsh functions, highlighting the relationship between the orthonormal Walsh basis, sensitivity of field reconstructions, data compression techniques, and dynamical decoupling theory. Specifically, we show how properties of the Walsh basis and a detailed sensitivity analysis of the reconstruction protocol provide a method to characterize the error between the reconstructed and true fields. In addition, we prove various results about the negligibility function on binary sequences which lead to data compression techniques in the Walsh basis and a more resource-efficient reconstruction protocol. The negligibility proves a fruitful concept to unify the information content of Walsh functions and their dynamical decoupling power, which makes the reconstruction method robust against noise.

  15. Muon Reconstruction and Identification in CMS

    SciTech Connect (OSTI)

    Everett, A. [Purdue University, West Lafayette, IN, 47906 (United States)

    2010-02-10T23:59:59.000Z

    We present the design strategies and status of the CMS muon reconstruction and identification identification software. Muon reconstruction and identification is accomplished through a variety of complementary algorithms. The CMS muon reconstruction software is based on a Kalman filter technique and reconstructs muons in the standalone muon system, using information from all three types of muon detectors, and links the resulting muon tracks with tracks reconstructed in the silicon tracker. In addition, a muon identification algorithm has been developed which tries to identify muons with high efficiency while maintaining a low probability of misidentification. The muon identification algorithm is complementary by design to the muon reconstruction algorithm that starts track reconstruction in the muon detectors. The identification algorithm accepts reconstructed tracks from the inner tracker and attempts to quantify the muon compatibility for each track using associated calorimeter and muon detector hit information. The performance status is based on detailed detector simulations as well as initial studies using cosmic muon data.

  16. Linear Signal Reconstruction from Jittered Sampling

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Linear Signal Reconstruction from Jittered Sampling Alessandro Nordio (1) , Carla jitter, which is based on the analysis of the mean square error (MSE) between the reconstructed sig- nal of digital signal reconstruction as a function of the clock jitter, number of quantization bits, signal

  17. Hanford Environmental Dose Reconstruction Project

    SciTech Connect (OSTI)

    Finch, S.M.; McMakin, A.H. (comps.)

    1991-01-01T23:59:59.000Z

    The objective of the Hanford Environmental Dose Reconstruction Project is to estimate the radiation doses that individuals and populations could have received from nuclear operations at Hanford since 1944. The project is divided into the following technical tasks. These tasks correspond to the path radionuclides followed, from release to impact on humans (dose estimates): Source terms; environmental transport environmental monitoring data; demographics, agriculture, food habits; environmental pathways and dose estimates.

  18. Method for position emission mammography image reconstruction

    DOE Patents [OSTI]

    Smith, Mark Frederick

    2004-10-12T23:59:59.000Z

    An image reconstruction method comprising accepting coincidence datat from either a data file or in real time from a pair of detector heads, culling event data that is outside a desired energy range, optionally saving the desired data for each detector position or for each pair of detector pixels on the two detector heads, and then reconstructing the image either by backprojection image reconstruction or by iterative image reconstruction. In the backprojection image reconstruction mode, rays are traced between centers of lines of response (LOR's), counts are then either allocated by nearest pixel interpolation or allocated by an overlap method and then corrected for geometric effects and attenuation and the data file updated. If the iterative image reconstruction option is selected, one implementation is to compute a grid Siddon retracing, and to perform maximum likelihood expectation maiximization (MLEM) computed by either: a) tracing parallel rays between subpixels on opposite detector heads; or b) tracing rays between randomized endpoint locations on opposite detector heads.

  19. Hanford Environmental Dose Reconstruction Project

    SciTech Connect (OSTI)

    Finch, S.M.; McMakin, A.H. (comps.)

    1992-06-01T23:59:59.000Z

    The objective of the Hanford Environmental Dose Reconstruction Project is to estimate the radiation doses that individuals and populations could have received from nuclear operations at Hanford since 1944. The project is being managed and conducted by the Battelle Pacific Northwest Laboratories under contract with the Centers for Disease Control. The independent Technical Steering Panel (TSP) provides technical direction. The project is divided into the following technical tasks. These tasks correspond to the path radionuclides followed, from release to impact on humans (dose estimates): source terms; environmental transport; environmental monitoring data; demography, food consumption, and agriculture; environmental pathways and dose estimates.

  20. Reformulating and Reconstructing Quantum Theory

    E-Print Network [OSTI]

    Lucien Hardy

    2011-08-25T23:59:59.000Z

    We provide a reformulation of finite dimensional quantum theory in the circuit framework in terms of mathematical axioms, and a reconstruction of quantum theory from operational postulates. The mathematical axioms for quantum theory are the following: [Axiom 1] Operations correspond to operators. [Axiom 2] Every complete set of physical operators corresponds to a complete set of operations. The following operational postulates are shown to be equivalent to these mathematical axioms: [P1] Sharpness. Associated with any given pure state is a unique maximal effect giving probability equal to one. This maximal effect does not give probability equal to one for any other pure state. [P2] Information locality. A maximal measurement on a composite system is effected if we perform maximal measurements on each of the components. [P3] Tomographic locality. The state of a composite system can be determined from the statistics collected by making measurements on the components. [P4] Compound permutability. There exists a compound reversible transformation on any system effecting any given permutation of any given maximal set of distinguishable states for that system. [P5] Sturdiness. Filters are non-flattening. Hence, from these postulates we can reconstruct all the usual features of quantum theory: States are represented by positive operators, transformations by completely positive trace non-increasing maps, and effects by positive operators. The Born rule (i.e. the trace rule) for calculating probabilitieso follows. A more detailed abstract is provided in the paper.

  1. HOUSING GUARANTEE Apply Online

    E-Print Network [OSTI]

    Mease, Kenneth D.

    THE UCI HOUSING GUARANTEE Apply Online 1 Log in to your MyAdmission account via the tab of Admission fee. 3 Complete the Online Housing Application and pay the $20 non-refundable fee. Freshmen apply for the residence halls. Transfer students apply for Arroyo Vista theme houses and on-campus apartments. Students 25

  2. Improvement in Fast Particle Track Reconstruction with Robust Statistics

    E-Print Network [OSTI]

    Aartsen, M G; Abdou, Y; Ackermann, M; Adams, J; Aguilar, J A; Ahlers, M; Altmann, D; Auffenberg, J; Bai, X; Baker, M; Barwick, S W; Baum, V; Bay, R; Beatty, J J; Bechet, S; Tjus, J Becker; Becker, K -H; Benabderrahmane, M L; BenZvi, S; Berghaus, P; Berley, D; Bernardini, E; Bernhard, A; Besson, D Z; Binder, G; Bindig, D; Bissok, M; Blaufuss, E; Blumenthal, J; Boersma, D J; Bohaichuk, S; Bohm, C; Bose, D; Böser, S; Botner, O; Brayeur, L; Bretz, H -P; Brown, A M; Bruijn, R; Brunner, J; Carson, M; Casey, J; Casier, M; Chirkin, D; Christov, A; Christy, B; Clark, K; Clevermann, F; Coenders, S; Cohen, S; Cowen, D F; Silva, A H Cruz; Danninger, M; Daughhetee, J; Davis, J C; Day, M; De Clercq, C; De Ridder, S; Desiati, P; de Vries, K D; de With, M; DeYoung, T; Díaz-Vélez, J C; Dunkman, M; Eagan, R; Eberhardt, B; Eisch, J; Euler, S; Evenson, P A; Fadiran, O; Fazely, A R; Fedynitch, A; Feintzeig, J; Feusels, T; Filimonov, K; Finley, C; Fischer-Wasels, T; Flis, S; Franckowiak, A; Frantzen, K; Fuchs, T; Gaisser, T K; Gallagher, J; Gerhardt, L; Gladstone, L; Glüsenkamp, T; Goldschmidt, A; Golup, G; Gonzalez, J G; Goodman, J A; Góra, D; Grandmont, D T; Grant, D; Groß, A; Ha, C; Ismail, A Haj; Hallen, P; Hallgren, A; Halzen, F; Hanson, K; Heereman, D; Heinen, D; Helbing, K; Hellauer, R; Hickford, S; Hill, G C; Hoffman, K D; Hoffmann, R; Homeier, A; Hoshina, K; Huelsnitz, W; Hulth, P O; Hultqvist, K; Hussain, S; Ishihara, A; Jacobi, E; Jacobsen, J; Jagielski, K; Japaridze, G S; Jero, K; Jlelati, O; Kaminsky, B; Kappes, A; Karg, T; Karle, A; Kelley, J L; Kiryluk, J; Kläs, J; Klein, S R; Köhne, J -H; Kohnen, G; Kolanoski, H; Köpke, L; Kopper, C; Kopper, S; Koskinen, D J; Kowalski, M; Krasberg, M; Krings, K; Kroll, G; Kunnen, J; Kurahashi, N; Kuwabara, T; Labare, M; Landsman, H; Larson, M J; Lesiak-Bzdak, M; Leuermann, M; Leute, J; Lünemann, J; Macías, O; Madsen, J; Maggi, G; Maruyama, R; Mase, K; Matis, H S; McNally, F; Meagher, K; Merck, M; Meures, T; Miarecki, S; Middell, E; Milke, N; Miller, J; Mohrmann, L; Montaruli, T; Morse, R; Nahnhauer, R; Naumann, U; Niederhausen, H; Nowicki, S C; Nygren, D R; Obertacke, A; Odrowski, S; Olivas, A; Omairat, A; O'Murchadha, A; Paul, L; Pepper, J A; Heros, C Pérez de los; Pfendner, C; Pieloth, D; Pinat, E; Posselt, J; Price, P B; Przybylski, G T; Rädel, L; Rameez, M; Rawlins, K; Redl, P; Reimann, R; Resconi, E; Rhode, W; Ribordy, M; Richman, M; Riedel, B; Rodrigues, J P; Rott, C; Ruhe, T; Ruzybayev, B; Ryckbosch, D; Saba, S M; Salameh, T; Sander, H -G; Santander, M; Sarkar, S; Schatto, K; Scheriau, F; Schmidt, T; Schmitz, M; Schoenen, S; Schöneberg, S; Schönwald, A; Schukraft, A; Schulte, L; Schulz, O; Seckel, D; Sestayo, Y; Seunarine, S; Shanidze, R; Sheremata, C; Smith, M W E; Soldin, D; Spiczak, G M; Spiering, C; Stamatikos, M; Stanev, T; Stanisha, N A; Stasik, A; Stezelberger, T; Stokstad, R G; Stößl, A; Strahler, E A; Ström, R; Sullivan, G W; Taavola, H; Taboada, I; Tamburro, A; Tepe, A; Ter-Antonyan, S; Teši?, G; Tilav, S; Toale, P A; Toscano, S; Unger, E; Usner, M; Vallecorsa, S; van Eijndhoven, N; Van Overloop, A; van Santen, J; Vehring, M; Voge, M; Vraeghe, M; Walck, C; Waldenmaier, T; Wallraff, M; Weaver, Ch; Wellons, M; Wendt, C; Westerhoff, S; Whitehorn, N; Wiebe, K; Wiebusch, C H; Williams, D R; Wissing, H; Wolf, M; Wood, T R; Woschnagg, K; Xu, D L; Xu, X W; Yanez, J P; Yodh, G; Yoshida, S; Zarzhitsky, P; Ziemann, J; Zierke, S; Zoll, M

    2013-01-01T23:59:59.000Z

    The IceCube project has transformed one cubic kilometer of deep natural Antarctic ice into a Cherenkov detector. Muon neutrinos are detected and their direction inferred by mapping the light produced by the secondary muon track inside the volume instrumented with photomultipliers. Reconstructing the muon track from the observed light is challenging due to noise, light scattering in the ice medium, and the possibility of simultaneously having multiple muons inside the detector, resulting from the large flux of cosmic ray muons. This manuscript describes work on two problems: (1) the track reconstruction problem, in which, given a set of observations, the goal is to recover the track of a muon; and (2) the coincident event problem, which is to determine how many muons are active in the detector during a time window. Rather than solving these problems by developing more complex physical models that are applied at later stages of the analysis, our approach is to augment the detectors early reconstruction with dat...

  3. A method for OSEM PET Reconstruction on parallel architectures using STIR

    E-Print Network [OSTI]

    Hellebrand, Sybille

    A method for OSEM PET Reconstruction on parallel architectures using STIR Tobias Beisel, Stefan (PET) data, we introduced an approach for parallel architectures by applying the message passing for two- or three-dimensional (2D/3D) PET. To reduce the amount of time needed to complete

  4. Photoacoustic tomography of biological tissues with high cross-section resolution: Reconstruction and experiment

    E-Print Network [OSTI]

    Wang, Lihong

    27 November 2002 A modified back-projection approach deduced from an exact reconstruction solution was applied to our photoacoustic tomography of the optical absorption in biological tissues. Pulses from a Ti:sap a spatial resolution around 10 m.8 All of the above photoacoustic tomography systems can be categorized

  5. Dynamic Surface Reconstruction from 4D-MR Images Matthias Fenchel1

    E-Print Network [OSTI]

    Gumhold, Stefan

    Dynamic Surface Reconstruction from 4D-MR Images Matthias Fenchel1 , Stefan Gumhold2 , Hans approach is applied to 4D-MR images of a human heart in motion. 1 Introduction Image segmentation-Peter Seidel3 1 Siemens AG Medical Solutions, Magnetic Resonance, Karl-Schall-Str. 4, 91052 Erlangen 2 TU

  6. The Applied Mathematics for Power Systems (AMPS)

    SciTech Connect (OSTI)

    Chertkov, Michael [Los Alamos National Laboratory

    2012-07-24T23:59:59.000Z

    Increased deployment of new technologies, e.g., renewable generation and electric vehicles, is rapidly transforming electrical power networks by crossing previously distinct spatiotemporal scales and invalidating many traditional approaches for designing, analyzing, and operating power grids. This trend is expected to accelerate over the coming years, bringing the disruptive challenge of complexity, but also opportunities to deliver unprecedented efficiency and reliability. Our Applied Mathematics for Power Systems (AMPS) Center will discover, enable, and solve emerging mathematics challenges arising in power systems and, more generally, in complex engineered networks. We will develop foundational applied mathematics resulting in rigorous algorithms and simulation toolboxes for modern and future engineered networks. The AMPS Center deconstruction/reconstruction approach 'deconstructs' complex networks into sub-problems within non-separable spatiotemporal scales, a missing step in 20th century modeling of engineered networks. These sub-problems are addressed within the appropriate AMPS foundational pillar - complex systems, control theory, and optimization theory - and merged or 'reconstructed' at their boundaries into more general mathematical descriptions of complex engineered networks where important new questions are formulated and attacked. These two steps, iterated multiple times, will bridge the growing chasm between the legacy power grid and its future as a complex engineered network.

  7. Reconstruction and Restoration of PET Images.

    E-Print Network [OSTI]

    Mosegaard, Klaus

    Reconstruction and Restoration of PET Images. Ph.D. Thesis Peter Alshede Philipsen LYNGBY 1998 IMM with reconstruction and restoration of Positron Emission Tomography (PET) images carried out at the Section of Digital contains a short introduction to PET imaging. The second part, chapters 2 to 4, describe the PET scanner

  8. Spectrum Sensing and Reconstruction for Cognitive Radio

    E-Print Network [OSTI]

    Qiu, Robert Caiming

    Spectrum Sensing and Reconstruction for Cognitive Radio Amanpreet S Saini, Zhen Hu, Robert Qiu with spectrum sensing and spectrum reconstruction under the umbrella of cognitive radio which is the smart radio to explore and exploit the free spectrum. Spectrum analyzer is used to emulate cognitive radio to do spectrum

  9. Template-based Reconstruction of Complex Refactorings

    E-Print Network [OSTI]

    Kim, Miryung

    Template-based Reconstruction of Complex Refactorings Kyle Prete, Napol Rachatasumrit, Nikita Sudan occurred be- tween two program versions can help programmers better understand code changes. Our survey using a template- based refactoring reconstruction approach--REF-FINDER ex- presses each refactoring

  10. Reconstruction of nonlinear wave propagation

    DOE Patents [OSTI]

    Fleischer, Jason W; Barsi, Christopher; Wan, Wenjie

    2013-04-23T23:59:59.000Z

    Disclosed are systems and methods for characterizing a nonlinear propagation environment by numerically propagating a measured output waveform resulting from a known input waveform. The numerical propagation reconstructs the input waveform, and in the process, the nonlinear environment is characterized. In certain embodiments, knowledge of the characterized nonlinear environment facilitates determination of an unknown input based on a measured output. Similarly, knowledge of the characterized nonlinear environment also facilitates formation of a desired output based on a configurable input. In both situations, the input thus characterized and the output thus obtained include features that would normally be lost in linear propagations. Such features can include evanescent waves and peripheral waves, such that an image thus obtained are inherently wide-angle, farfield form of microscopy.

  11. Hanford Environmental Dose Reconstruction Project

    SciTech Connect (OSTI)

    McMakin, A.H.; Cannon, S.D.; Finch, S.M. (comps.)

    1992-07-01T23:59:59.000Z

    The objective of the Hanford Environmental Dose Reconstruction (HEDR) Project is to estimate the radiation doses that individuals and populations could have received from nuclear operations at Hanford since 1944. The TSP consists of experts in environmental pathways, epidemiology, surface-water transport, ground-water transport, statistics, demography, agriculture, meteorology, nuclear engineering, radiation dosimetry, and cultural anthropology. Included are appointed technical members representing the states of Oregon, Washington, and Idaho, a representative of Native American tribes, and an individual representing the public. The project is divided into the following technical tasks. These tasks correspond to the path radionuclides followed from release to impact on humans (dose estimates): Source terms, environmental transport, environmental monitoring data, demography, food consumption, and agriculture, and environmental pathways and dose estimates. Progress is discussed.

  12. Role of Point Defects on the Reactivity of Reconstructed Anatase...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Point Defects on the Reactivity of Reconstructed Anatase Titanium Dioxide (001) Surface. Role of Point Defects on the Reactivity of Reconstructed Anatase Titanium Dioxide (001)...

  13. advanced surface reconstruction: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    adaptation of Neural Gas (NG) for reconstructing 3D- surfaces from point clouds. NG Zachmann, Gabriel 78 An Algebraic Approach to Surface Reconstruction from Gradient Fields Amit...

  14. ancestral state reconstruction: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    state is close to the true global state. We call the entropy of our reconstructed maximum entropy state the "reconstruction entropy", and we discuss its relation to...

  15. Applied Computer Science

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Science and Innovation Computing CCS Division CCS-7 Applied Computer Science Innovative co-design of applications, algorithms, and architectures in order to enable...

  16. Apply early! Limited enrollment.

    E-Print Network [OSTI]

    volcano. Experience the culture and history of Hawaii, and the impact of human activitiesApply early! Limited enrollment. Environmental Science in the Hawaiian Islands Observe, research

  17. Selecting and Applying Interfacings

    E-Print Network [OSTI]

    2006-05-01T23:59:59.000Z

    Selecting and using interfacing correctly is an important component of garment construction. The various types of interfacing are described and methods of applying them are discussed in detail....

  18. INTRODUCTION APPLIED GEOPHYSICS

    E-Print Network [OSTI]

    Merriam, James

    GEOL 384.3 INTRODUCTION TO APPLIED GEOPHYSICS OUTLINE INTRODUCTION TO APPLIED GEOPHYSICS GEOL 384 unknowns; the ones we don't know we don't know. And if one looks throughout the history of geophysics he didn't really say geophysics. He said, " ... our country and other free countries ...". But I am

  19. Full Jet Reconstruction in Heavy Ion Collisions

    E-Print Network [OSTI]

    Sevil Salur

    2009-09-16T23:59:59.000Z

    Full jet reconstruction has traditionally been thought to be difficult in heavy ion events due to large multiplicity backgrounds. The search for new physics in high luminosity p+p collisions at the LHC similarly requires the precise measurement of jets over large backgrounds caused by pile up; this has motivated the development of a new generation of jet reconstruction algorithms which are also applicable in the heavy ion environment. We review the latest results on jet-medium interactions as seen in A+A collisions at RHIC, focusing on the new techniques for full jet reconstruction.

  20. Reconstruction of the energy and depth of maximum of cosmic-ray air-showers from LOPES radio measurements

    E-Print Network [OSTI]

    W. D. Apel; J. C. Arteaga-Velazquez; L. Bähren; K. Bekk; M. Bertaina; P. L. Biermann; J. Blümer; H. Bozdog; I. M. Brancus; E. Cantoni; A. Chiavassa; K. Daumiller; V. de Souza; F. Di Pierro; P. Doll; R. Engel; H. Falcke; B. Fuchs; D. Fuhrmann; H. Gemmeke; C. Grupen; A. Haungs; D. Heck; J. R. Hörandel; A. Horneffer; D. Huber; T. Huege; P. G. Isar; K. -H. Kampert; D. Kang; O. Krömer; J. Kuijpers; K. Link; P. ?uczak; M. Ludwig; H. J. Mathes; M. Melissas; C. Morello; J. Oehlschläger; N. Palmieri; T. Pierog; J. Rautenberg; H. Rebel; M. Roth; C. Rühle; A. Saftoiu; H. Schieler; A. Schmidt; F. G. Schröder; O. Sima; G. Toma; G. C. Trinchero; A. Weindl; J. Wochele; J. Zabierowski; J. A. Zensus

    2014-08-11T23:59:59.000Z

    LOPES is a digital radio interferometer located at Karlsruhe Institute of Technology (KIT), Germany, which measures radio emission from extensive air showers at MHz frequencies in coincidence with KASCADE-Grande. In this article, we explore a method (slope method) which leverages the slope of the measured radio lateral distribution to reconstruct crucial attributes of primary cosmic rays. First, we present an investigation of the method on the basis of pure simulations. Second, we directly apply the slope method to LOPES measurements. Applying the slope method to simulations, we obtain uncertainties on the reconstruction of energy and depth of shower maximum Xmax of 13% and 50 g/cm^2, respectively. Applying it to LOPES measurements, we are able to reconstruct energy and Xmax of individual events with upper limits on the precision of 20-25% for the primary energy and 95 g/cm^2 for Xmax, despite strong human-made noise at the LOPES site.

  1. Cardiac C-arm computed tomography using a 3D + time ROI reconstruction method with spatial and temporal regularization

    SciTech Connect (OSTI)

    Mory, Cyril, E-mail: cyril.mory@philips.com [Université de Lyon, CREATIS, CNRS UMR5220, Inserm U1044, INSA-Lyon, Université Lyon 1, F-69621 Villeurbanne Cedex (France) [Université de Lyon, CREATIS, CNRS UMR5220, Inserm U1044, INSA-Lyon, Université Lyon 1, F-69621 Villeurbanne Cedex (France); Philips Research Medisys, 33 rue de Verdun, 92156 Suresnes (France); Auvray, Vincent; Zhang, Bo [Philips Research Medisys, 33 rue de Verdun, 92156 Suresnes (France)] [Philips Research Medisys, 33 rue de Verdun, 92156 Suresnes (France); Grass, Michael; Schäfer, Dirk [Philips Research, Röntgenstrasse 24–26, D-22335 Hamburg (Germany)] [Philips Research, Röntgenstrasse 24–26, D-22335 Hamburg (Germany); Chen, S. James; Carroll, John D. [Department of Medicine, Division of Cardiology, University of Colorado Denver, 12605 East 16th Avenue, Aurora, Colorado 80045 (United States)] [Department of Medicine, Division of Cardiology, University of Colorado Denver, 12605 East 16th Avenue, Aurora, Colorado 80045 (United States); Rit, Simon [Université de Lyon, CREATIS, CNRS UMR5220, Inserm U1044, INSA-Lyon (France) [Université de Lyon, CREATIS, CNRS UMR5220, Inserm U1044, INSA-Lyon (France); Université Lyon 1 (France); Centre Léon Bérard, 28 rue Laënnec, F-69373 Lyon (France); Peyrin, Françoise [Université de Lyon, CREATIS, CNRS UMR5220, Inserm U1044, INSA-Lyon, Université Lyon 1, F-69621 Villeurbanne Cedex (France) [Université de Lyon, CREATIS, CNRS UMR5220, Inserm U1044, INSA-Lyon, Université Lyon 1, F-69621 Villeurbanne Cedex (France); X-ray Imaging Group, European Synchrotron, Radiation Facility, BP 220, F-38043 Grenoble Cedex (France); Douek, Philippe; Boussel, Loïc [Université de Lyon, CREATIS, CNRS UMR5220, Inserm U1044, INSA-Lyon (France) [Université de Lyon, CREATIS, CNRS UMR5220, Inserm U1044, INSA-Lyon (France); Université Lyon 1 (France); Hospices Civils de Lyon, 28 Avenue du Doyen Jean Lépine, 69500 Bron (France)

    2014-02-15T23:59:59.000Z

    Purpose: Reconstruction of the beating heart in 3D + time in the catheter laboratory using only the available C-arm system would improve diagnosis, guidance, device sizing, and outcome control for intracardiac interventions, e.g., electrophysiology, valvular disease treatment, structural or congenital heart disease. To obtain such a reconstruction, the patient's electrocardiogram (ECG) must be recorded during the acquisition and used in the reconstruction. In this paper, the authors present a 4D reconstruction method aiming to reconstruct the heart from a single sweep 10 s acquisition. Methods: The authors introduce the 4D RecOnstructiOn using Spatial and TEmporal Regularization (short 4D ROOSTER) method, which reconstructs all cardiac phases at once, as a 3D + time volume. The algorithm alternates between a reconstruction step based on conjugate gradient and four regularization steps: enforcing positivity, averaging along time outside a motion mask that contains the heart and vessels, 3D spatial total variation minimization, and 1D temporal total variation minimization. Results: 4D ROOSTER recovers the different temporal representations of a moving Shepp and Logan phantom, and outperforms both ECG-gated simultaneous algebraic reconstruction technique and prior image constrained compressed sensing on a clinical case. It generates 3D + time reconstructions with sharp edges which can be used, for example, to estimate the patient's left ventricular ejection fraction. Conclusions: 4D ROOSTER can be applied for human cardiac C-arm CT, and potentially in other dynamic tomography areas. It can easily be adapted to other problems as regularization is decoupled from projection and back projection.

  2. Computing - Reconstructing neurons ... | ornl.gov

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    how scientists digitally reconstruct and analyze individual neurons in the human brain. Led by the Allen Institute for Brain Science, the BigNeuron project aims to create a...

  3. Sparse Signal Reconstruction via Iterative Support Detection

    E-Print Network [OSTI]

    2010-07-04T23:59:59.000Z

    Sep 29, 2009 ... and a reduced requirement on the number of measurements .... (Throughout this paper, ¯x is used to denote the true signal to reconstruct.) ...... which include sparse Gaussian signals and certain power–law decaying signals.

  4. Precision Muon Reconstruction in Double Chooz

    E-Print Network [OSTI]

    Double Chooz collaboration; Y. Abe; J. C. dos Anjos; J. C. Barriere; E. Baussan; I. Bekman; M. Bergevin; T. J. C. Bezerra; L. Bezrukov; E. Blucher; C. Buck; J. Busenitz; A. Cabrera; E. Caden; L. Camilleri; R. Carr; M. Cerrada; P. -J. Chang; E. Chauveau; P. Chimenti; A. P. Collin; E. Conover; J. M. Conrad; J. I. Crespo-Anadón; K. Crum; A. Cucoanes; E. Damon; J. V. Dawson; D. Dietrich; Z. Djurcic; M. Dracos; M. Elnimr; A. Etenko; M. Fallot; F. von Feilitzsch; J. Felde; S. M. Fernandes; V. Fischer; D. Franco; M. Franke; H. Furuta; I. Gil-Botella; L. Giot; M. Göger-Neff; L. F. G. Gonzalez; L. Goodenough; M. C. Goodman; C. Grant; N. Haag; T. Hara; J. Haser; M. Hofmann; G. A. Horton-Smith; A. Hourlier; M. Ishitsuka; J. Jochum; C. Jollet; F. Kaether; L. N. Kalousis; Y. Kamyshkov; D. M. Kaplan; T. Kawasaki; E. Kemp; H. de Kerret; D. Kryn; M. Kuze; T. Lachenmaier; C. E. Lane; T. Lasserre; A. Letourneau; D. Lhuillier; H. P. Lima Jr; M. Lindner; J. M. López-Casta no; J. M. LoSecco; B. Lubsandorzhiev; S. Lucht; J. Maeda; C. Mariani; J. Maricic; J. Martino; T. Matsubara; G. Mention; A. Meregaglia; T. Miletic; R. Milincic; A. Minotti; Y. Nagasaka; Y. Nikitenko; P. Novella; M. Obolensky; L. Oberauer; A. Onillon; A. Osborn; C. Palomares; I. M. Pepe; S. Perasso; P. Pfahler; A. Porta; G. Pronost; J. Reichenbacher; B. Reinhold; M. Röhling; R. Roncin; S. Roth; B. Rybolt; Y. Sakamoto; R. Santorelli; A. C. Schilithz; S. Schönert; S. Schoppmann; M. H. Shaevitz; R. Sharankova; S. Shimojima; V. Sibille; V. Sinev; M. Skorokhvatov; E. Smith; J. Spitz; A. Stahl; I. Stancu; L. F. F. Stokes; M. Strait; A. Stüken; F. Suekane; S. Sukhotin; T. Sumiyoshi; Y. Sun; R. Svoboda; K. Terao; A. Tonazzo; H. H. Trinh Thi; G. Valdiviesso; N. Vassilopoulos; C. Veyssiere; M. Vivier; S. Wagner; H. Watanabe; C. Wiebusch; L. Winslow; M. Wurm; G. Yang; F. Yermia; V. Zimmer

    2014-08-15T23:59:59.000Z

    We describe a muon track reconstruction algorithm for the reactor anti-neutrino experiment Double Chooz. The Double Chooz detector consists of two optically isolated volumes of liquid scintillator viewed by PMTs, and an Outer Veto above these made of crossed scintillator strips. Muons are reconstructed by their Outer Veto hit positions along with timing information from the other two detector volumes. All muons are fit under the hypothesis that they are through-going and ultrarelativistic. If the energy depositions suggest that the muon may have stopped, the reconstruction fits also for this hypothesis and chooses between the two via the relative goodness-of-fit. In the ideal case of a through-going muon intersecting the center of the detector, the resolution is ~40 mm in each transverse dimension. High quality muon reconstruction is an important tool for reducing the impact of the cosmogenic isotope background in Double Chooz.

  5. EQUILIBRIUM RECONSTRUCTION ITERATION FLOW-CHART

    E-Print Network [OSTI]

    EQUILIBRIUM RECONSTRUCTION ITERATION FLOW-CHART SUME AND 0 n GET 1 AND C0 j GET J1 AND 1 n GET 2 the total stored (kinetic + magnetic) energy density #12;TYPICAL FIELD CONFIGURATIONS acuum Field Low Beta

  6. SIMD studies in the LHCb reconstruction software

    E-Print Network [OSTI]

    Campora Perez, D H

    2015-01-01T23:59:59.000Z

    During the data taking process in the LHC at CERN, millions of collisions are recorded every second by the LHCb Detector. The LHCb Online computing farm, counting around 15000 cores, is dedicated to the reconstruction of the events in real-time, in order to filter those with interesting Physics. The ones kept are later analysed $Offline$ in a more precise fashion on the Grid. This imposes very stringent requirements on the reconstruction software, which has to be as efficient as possible. Modern CPUs support so-called vector-extensions, which extend their Instruction Sets, allowing for concurrent execution across functional units. Several libraries expose the Single Instruction Multiple Data programming paradigm to issue these instructions. The use of vectorisation in our codebase can provide performance boosts, leading ultimately to Physics reconstruction enhancements. In this paper, we present vectorisation studies of significant reconstruction algorithms. A variety of vectorisation libraries are analysed a...

  7. Use of root in vehicular accident reconstruction

    E-Print Network [OSTI]

    Scurlock, Bob

    2011-01-01T23:59:59.000Z

    The purpose of this article is to introduce the reader to the ROOT data analysis software package, and demonstrate how it may be used to complement one's accident reconstruction analyses.

  8. Essays in applied microeconomics

    E-Print Network [OSTI]

    Aron-Dine, Aviva

    2012-01-01T23:59:59.000Z

    This dissertation consists of three chapters on topics in applied microeconomics. In the first chapter. I investigate whether voters are more likely to support additional spending on local public services when they perceive ...

  9. Engineering and Applied

    E-Print Network [OSTI]

    Stowell, Michael

    > Computer Science > Electrical, Computer, and Energy Engineering > Mechanical Engineering 11, Computational Science and Engineering, Energy Systems and Environmental Sustainability, Materials ScienceCollege of Engineering and Applied Science Contact Robert H. Davis, Engineering Dean 303

  10. Applying for Research Awards

    E-Print Network [OSTI]

    ... 53.22 KB APPLYING FOR RESEARCH AWARDS The Eastern Bird Banding Association seeks applicants for its annual $500 research awards in aid of research using banding techniques or bird banding data. ...

  11. PSF reconstruction for NAOS-CONICA

    E-Print Network [OSTI]

    Yann Clénet; Markus Kasper; Eric Gendron; Thierry Fusco; Gérard Rousset; Damien Gratadour; Christopher Lidman; Olivier Marco; Nancy Ageorges; Sebastian Egner

    2006-07-12T23:59:59.000Z

    Adaptive optics (AO) allows one to derive the point spread function (PSF) simultaneously to the science image, which is a major advantage in post-processing tasks such as astrometry/photometry or deconvolution. Based on the algorithm of \\citet{veran97}, PSF reconstruction has been developed for four different AO systems so far: PUEO, ALFA, Lick-AO and Altair. A similar effort is undertaken for NAOS/VLT in a collaboration between the group PHASE (Onera and Observatoire de Paris/LESIA) and ESO. In this paper, we first introduce two new algorithms that prevent the use of the so-called "$U\\_{ij}$ functions" to: (1) avoid the storage of a large amount of data (for both new algorithms), (2) shorten the PSF reconstruction computation time (for one of the two) and (3) provide an estimation of the PSF variability (for the other one). We then identify and explain issues in the exploitation of real-time Shack-Hartmann (SH) data for PSF reconstruction, emphasising the large impact of thresholding in the accuracy of the phase residual estimation. Finally, we present the data provided by the NAOS real-time computer (RTC) to reconstruct PSF ({\\em (1)} the data presently available, {\\em (2)} two NAOS software modifications that would provide new data to increase the accuracy of the PSF reconstruction and {\\em (3)} the tests of these modifications) and the PSF reconstruction algorithms we are developing for NAOS on that basis.

  12. Reconstructing top quark-antiquark events with one lost jet

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Demina, Regina [Univ. of Rochester, Rochester, NY (United States); Harel, Amnon [Univ. of Rochester, Rochester, NY (United States); Orbaker, Douglas [Univ. of Rochester, Rochester, NY (United States)

    2015-07-01T23:59:59.000Z

    We present a technique for reconstructing the kinematics of pair-produced top quarks that decay to a charged lepton, a neutrino and four final state quarks in the subset of events where only three jets are reconstructed. We present a figure of merit that allows for a fair comparison of reconstruction algorithms without requiring their calibration. The new reconstruction of events with only three jets is fully competitive with the full reconstruction typically used for four-jet events.

  13. Muon Reconstruction Efficiency, Momentum Scale and Resolution in $pp$ Collisions at 8 TeV with ATLAS

    E-Print Network [OSTI]

    Maximilian Goblirsch-Kolb; for the ATLAS Collaboration

    2014-08-29T23:59:59.000Z

    The ATLAS experiment identifies and reconstructs muons with two high precision tracking systems, the Inner Detector and the Muon Spectrometer, which provide independent measurements of the muon momentum. This paper summarizes the performance of the combined muon reconstruction in terms of reconstruction efficiency, momentum scale and resolution. Data-driven techniques are used to derive corrections to be applied to the simulation in order to reproduce the reconstruction efficiency, momentum scale and resolution observed in experimental data, and to assess systematic uncertainties on these quantities. The dataset analysed corresponds to an integrated luminosity of $20.4$ $\\text{fb}^{\\text{-1}}$ from $pp$ collisions at $\\sqrt{s}$ = 8 TeV recorded in 2012.

  14. Environment-based pin-power reconstruction method for homogeneous core calculations

    SciTech Connect (OSTI)

    Leroyer, H.; Brosselard, C.; Girardi, E. [EDF R and D/SINETICS, 1 av du General de Gaulle, F92141 Claman Cedex (France)

    2012-07-01T23:59:59.000Z

    Core calculation schemes are usually based on a classical two-step approach associated with assembly and core calculations. During the first step, infinite lattice assemblies calculations relying on a fundamental mode approach are used to generate cross-sections libraries for PWRs core calculations. This fundamental mode hypothesis may be questioned when dealing with loading patterns involving several types of assemblies (UOX, MOX), burnable poisons, control rods and burn-up gradients. This paper proposes a calculation method able to take into account the heterogeneous environment of the assemblies when using homogeneous core calculations and an appropriate pin-power reconstruction. This methodology is applied to MOX assemblies, computed within an environment of UOX assemblies. The new environment-based pin-power reconstruction is then used on various clusters of 3x3 assemblies showing burn-up gradients and UOX/MOX interfaces, and compared to reference calculations performed with APOLLO-2. The results show that UOX/MOX interfaces are much better calculated with the environment-based calculation scheme when compared to the usual pin-power reconstruction method. The power peak is always better located and calculated with the environment-based pin-power reconstruction method on every cluster configuration studied. This study shows that taking into account the environment in transport calculations can significantly improve the pin-power reconstruction so far as it is consistent with the core loading pattern. (authors)

  15. Information Science, Computing, Applied Math

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Science, Computing, Applied Math science-innovationassetsimagesicon-science.jpg Information Science, Computing, Applied Math National security depends on science and...

  16. Jet Reconstruction in Heavy Ion Collisions

    E-Print Network [OSTI]

    Sevil Salur

    2009-05-12T23:59:59.000Z

    Measurements of strong suppression of inclusive hadron distributions and di-hadron correlations at high $p_{T}$, while providing evidence for partonic energy loss, also suffer from geometric biases due to the competition of energy loss and fragmentation. The measurements of fully reconstructed jets is expected to lack these biases as the energy flow is measured independently of the fragmentation details. In this article, we review the recent results from the heavy ion collisions collected by the STAR experiment at RHIC on direct jet reconstruction utilizing the modern sequential recombination and cone jet reconstruction algorithms together with their background subtraction techniques. In order to assess the jet reconstruction biases a comparison with the jet cross section measurement in $\\sqrt{s}=200$ GeV p+p collisions scaled by the number of binary nucleon-nucleon collisions to account for nuclear geometric effects is performed. Comparison of the inclusive jet cross section obtained in central Au+Au events with that in $p+p$ collisions, published previously by STAR, suggests that unbiased jet reconstruction in the complex heavy ion environment indeed may be possible.

  17. SUSTAINABILITY WHO CAN APPLY

    E-Print Network [OSTI]

    FUNDED BY CALL FOR SUSTAINABILITY RESEARCH STUDENT WHO CAN APPLY Undergraduate and graduate Participate in the Global Change & Sustainability Center's Research Symposium; attend workshops with faculty or publish in the U's student-run sustainability publication to be released in May 2014. Are you conducting

  18. Applied Microbiology and Biotechnology

    E-Print Network [OSTI]

    Alvarez-Cohen, Lisa

    1 23 Applied Microbiology and Biotechnology ISSN 0175-7598 Appl Microbiol Biotechnol DOI 10.1007/s-Cohen #12;1 23 Your article is protected by copyright and all rights are held exclusively by Springer in electronic repositories. If you wish to self-archive your article, please use the accepted manuscript version

  19. Kinematics of ICMEs/shocks: blast wave reconstruction using type II emissions

    E-Print Network [OSTI]

    Corona-Romero, P; Aguilar-Rodriguez, E; de-la-Luz, V; Mejia-Ambriz, J C

    2015-01-01T23:59:59.000Z

    We present a physical methodology to reconstruct the trajectory of interplanetary shocks using type II radio emission data. This technique calculates the shock trajectory assuming that the disturbance propagates as a blast wave in the interplanetary medium. We applied this Blast Wave Reconstruction (BWR) technique to analyze eight fast Earth-directed ICMEs/shocks associated with type II emissions. The technique deduces a shock trajectory that reproduces the type II frequency drifts, and calculates shock onset speed, shock transit time and shock speed at 1~AU. There were good agreements comparing the BWR results with the type II spectra, with data from coronagraph images, {\\it in situ} measurements, and interplanetary scintillation (IPS) observations. Perturbations on the type II data affect the accuracy of the BWR technique. This methodology could be applied to track interplanetary shocks causing TII emissions in real-time, to predict the shock arrival time and shock speed at 1~AU.

  20. The AMS-RICH velocity and charge reconstruction

    E-Print Network [OSTI]

    F. Barao; M. Aguilar-Benitez; L. Arruda; B. Baret; A. Barrau; G. Barreira; E. Belmont; J. Berdugo; J. Borges; M. Buenerd; D. Casadei; J. Casaus; E. Cortina; M. Costado; D. Crespo; C. Delgado; C. Diaz; L. Derome; P. Goncalves; R. Garcia-Lopez; C. de la Guia; A. Herrero; E. Lanciotti; G. Laurenti; A. Malinin; C. Mana; J. Marin; M. Mangin-Brinet; G. Martinez; A. Menchaca-Rocha; C. Palomares; R. Pereira; M. Pimenta; A. Putze; Y. Sallaz-Damaz; E. S. Seo; I. Sevilla; A. Torrento; M. Vargas-Trevino; O. Veziant

    2007-09-13T23:59:59.000Z

    The AMS detector, to be installed on the International Space Station, includes a Ring Imaging Cerenkov detector with two different radiators, silica aerogel (n=1.05) and sodium fluoride (n=1.334). This detector is designed to provide very precise measurements of velocity and electric charge in a wide range of cosmic nuclei energies and atomic numbers. The detector geometry, in particular the presence of a reflector for acceptance purposes, leads to complex Cerenkov patterns detected in a pixelized photomultiplier matrix. The results of different reconstruction methods applied to test beam data as well as to simulated samples are presented. To ensure nominal performances throughout the flight, several detector parameters have to be carefully monitored. The algorithms developed to fulfill these requirements are presented. The velocity and charge measurements provided by the RICH detector endow the AMS spectrometer with precise particle identification capabilities in a wide energy range. The expected performances on light isotope separation are discussed.

  1. Iterative Self-Dual Reconstruction on Radar Image Recovery

    SciTech Connect (OSTI)

    Martins, Charles; Medeiros, Fatima; Ushizima, Daniela; Bezerra, Francisco; Marques, Regis; Mascarenhas, Nelson

    2010-05-21T23:59:59.000Z

    Imaging systems as ultrasound, sonar, laser and synthetic aperture radar (SAR) are subjected to speckle noise during image acquisition. Before analyzing these images, it is often necessary to remove the speckle noise using filters. We combine properties of two mathematical morphology filters with speckle statistics to propose a signal-dependent noise filter to multiplicative noise. We describe a multiscale scheme that preserves sharp edges while it smooths homogeneous areas, by combining local statistics with two mathematical morphology filters: the alternating sequential and the self-dual reconstruction algorithms. The experimental results show that the proposed approach is less sensitive to varying window sizes when applied to simulated and real SAR images in comparison with standard filters.

  2. Effect of electronic reconstruction on cuprate-manganite spin switches.

    SciTech Connect (OSTI)

    Liu, Y.; Visani, C.; Nemes, N. M.; Fitzsimmons, M. R.; Zhu, L. Y.; Tornos, J.; Zhernenkov, M.; Hoffmann, A.; Leon, C.; Santamaria, J.; te Velthuis, S. G. E. (Materials Science Division); (Universidad Complutense de Madrid); (LANL)

    2012-01-01T23:59:59.000Z

    We examine the anomalous inverse spin switch behavior in La{sub 0.7}Ca{sub 0.3}MnO{sub 3}(LCMO)/YBa{sub 2}Cu{sub 3}O{sub 7-{delta}} (YBCO)/LCMO trilayers by combined transport studies and polarized neutron reflectometry. Measuring magnetization profiles and magnetoresistance in an in-plane rotating magnetic field, we prove that, contrary to many accepted theoretical scenarios, the relative orientation between the two LCMO's magnetizations is not sufficient to determine the magnetoresistance. Rather the field dependence of magnetoresistance is explained by the interplay between the applied magnetic field and the (exponential tail of the) induced exchange field in YBCO, the latter originating from the electronic reconstruction at the LCMO/YBCO interfaces.

  3. Robust statistical reconstruction for charged particle tomography

    DOE Patents [OSTI]

    2013-10-08T23:59:59.000Z

    Systems and methods for charged particle detection including statistical reconstruction of object volume scattering density profiles from charged particle tomographic data to determine the probability distribution of charged particle scattering using a statistical multiple scattering model and determine a substantially maximum likelihood estimate of object volume scattering density using expectation maximization (ML/EM) algorithm to reconstruct the object volume scattering density. The presence of and/or type of object occupying the volume of interest can be identified from the reconstructed volume scattering density profile. The charged particle tomographic data can be cosmic ray muon tomographic data from a muon tracker for scanning packages, containers, vehicles or cargo. The method can be implemented using a computer program which is executable on a computer.

  4. Optimized profile extraction and three dimensional reconstruction techniques applied to bubble shapes

    E-Print Network [OSTI]

    Vasudevamurthy, Gokul

    2004-09-30T23:59:59.000Z

    (2001)5 and Javier Ortiz (1999)4. The two SIV cameras are placed at right angles to each other. The angle between the horizontal axes of the PIV and SIV cameras is 120 degrees. Two light emitting diode panels provide the illumination for the SIV...

  5. Development of Bore Reconstruction Techniques Applied to the Study of Brass Wind Instruments 

    E-Print Network [OSTI]

    Hendrie, Darren Alexander

    2007-01-01T23:59:59.000Z

    The acoustic impedance is a valuable parameter in musical acoustics. Information contained within this frequency-domain parameter can be used to determine the acoustical behaviour of a musical wind instrument: the notes ...

  6. Statistical Image Reconstruction Algorithms Using Paraboloidal Surrogates for PET Transmission

    E-Print Network [OSTI]

    Fessler, Jeffrey A.

    Statistical Image Reconstruction Algorithms Using Paraboloidal Surrogates for PET Transmission Reconstruction Algorithms Using Paraboloidal Surrogates for PET Transmission Scans by Hakan Erdogan Chair: Jeffrey A. Fessler Positron Emission Tomography (PET) is a diagnostic imaging tool that provides images

  7. Monte Carlo event reconstruction implemented with artificial neural networks

    E-Print Network [OSTI]

    Tolley, Emma Elizabeth

    2011-01-01T23:59:59.000Z

    I implemented event reconstruction of a Monte Carlo simulation using neural networks. The OLYMPUS Collaboration is using a Monte Carlo simulation of the OLYMPUS particle detector to evaluate systematics and reconstruct ...

  8. On reconstruction and time reversal in thermoacoustic tomography in acoustically

    E-Print Network [OSTI]

    Kuchment, Peter

    On reconstruction and time reversal in thermoacoustic tomography in acoustically homogeneous of recent approaches to the reconstruction in thermoacoustic/photoacoustic tomography: backprojection of the problem of sound speed recovery is also provided. Keywords: Tomography, thermoacoustic, wave equation. AMS

  9. The Virtual (Re)Construction of History: Some Epistemological Questions

    E-Print Network [OSTI]

    El Antably, Ahmed

    2010-01-01T23:59:59.000Z

    Antably: The Virtual (Re)Construction of History 14. DoreenMay 1, 2010 THE VIRTUAL (RE)CONSTRUCTION OF HISTORY: SOMEthe use of perspectival constructions that emulate everyday

  10. Computational confocal tomography for simultaneous reconstruction of objects, occlusions,

    E-Print Network [OSTI]

    Fainman, Yeshaiahu

    Computational confocal tomography for simultaneous reconstruction of objects, occlusions computationally intense and novel reconstruction methods that we called "compu- tational confocal tomography." The key to computed tomography is the collection of projections of the data over a range of angles

  11. Money Reconstructed: Argentina and Brazil after Hyperinflation

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Money Reconstructed: Argentina and Brazil after Hyperinflation Jérôme Sgard (Sciences Po / CERI and transferred on alternate supports--either a foreign currency (as in Argentina) or domestic indices (as empirical material and an extended analytical discussion. Keywords: Argentina, Brazil, hyperinflation

  12. A reconstruction of the tables of Thompson's

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A reconstruction of the tables of Thompson's Logarithmetica Britannica (1952) Denis Roegel 20-21Dec2011 #12;hal-00654453,version1-21Dec2011 #12;1 Alexander John Thompson (1885­19??) Alexander John Thompson was born in 1885 in Plaistow, Essex, England. In 1920, he joined the statistical staff

  13. Reconstruction in tomography with diffracting sources

    E-Print Network [OSTI]

    Xu, Yuan

    2005-02-17T23:59:59.000Z

    Homogeneous Model . . . . . . . . . . . . . . . . . . . 22 III LIMITED-VIEW THERMOACOUSTIC TOMOGRAPHY1 . . . 24 A. INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . 24 1. Analysis of Singularities in Circular Radon Trans- form and Limited-view TAT... . . . . . . . . . . . . . . 26 a. Circular Radon Transform . . . . . . . . . . . . . 26 b. TAT . . . . . . . . . . . . . . . . . . . . . . . . . 27 c. Reconstruction Methods . . . . . . . . . . . . . . 30 2. Numerical Implementation . . . . . . . . . . . . . . . 35 viii CHAPTER...

  14. Applied ALARA techniques

    SciTech Connect (OSTI)

    Waggoner, L.O.

    1998-02-05T23:59:59.000Z

    The presentation focuses on some of the time-proven and new technologies being used to accomplish radiological work. These techniques can be applied at nuclear facilities to reduce radiation doses and protect the environment. The last reactor plants and processing facilities were shutdown and Hanford was given a new mission to put the facilities in a safe condition, decontaminate, and prepare them for decommissioning. The skills that were necessary to operate these facilities were different than the skills needed today to clean up Hanford. Workers were not familiar with many of the tools, equipment, and materials needed to accomplish:the new mission, which includes clean up of contaminated areas in and around all the facilities, recovery of reactor fuel from spent fuel pools, and the removal of millions of gallons of highly radioactive waste from 177 underground tanks. In addition, this work has to be done with a reduced number of workers and a smaller budget. At Hanford, facilities contain a myriad of radioactive isotopes that are 2048 located inside plant systems, underground tanks, and the soil. As cleanup work at Hanford began, it became obvious early that in order to get workers to apply ALARA and use hew tools and equipment to accomplish the radiological work it was necessary to plan the work in advance and get radiological control and/or ALARA committee personnel involved early in the planning process. Emphasis was placed on applying,ALARA techniques to reduce dose, limit contamination spread and minimize the amount of radioactive waste generated. Progress on the cleanup has,b6en steady and Hanford workers have learned to use different types of engineered controls and ALARA techniques to perform radiological work. The purpose of this presentation is to share the lessons learned on how Hanford is accomplishing radiological work.

  15. IMPROVED MULTIPLEXED IMAGE RECONSTRUCTION PERFORMANCE THROUGH OPTICAL SYSTEM DIVERSITY DESIGN

    E-Print Network [OSTI]

    Rajan, Dinesh

    , Dallas, Texas, 75275 rajand@engr.smu.edu, mpc@engr.smu.edu ABSTRACT Multiplexed image reconstruction

  16. A. Cormack's last inversion formula and a FBP reconstruction

    E-Print Network [OSTI]

    Victor Palamodov

    2014-07-31T23:59:59.000Z

    A reconstruction of a function from integrals over the family of confocal paraboloids is given by a FBP formula.

  17. Chemico-Biological Interactions 166 (2007) 264276 Chemical process-based reconstruction of exposures for an

    E-Print Network [OSTI]

    Illinois at Chicago, University of

    2007-01-01T23:59:59.000Z

    . Keywords: Chloroprene; Vinyl chloride; Plastics; Synthetic rubber; Exposure reconstruction; Occupational

  18. TURKEY'S CIVILIAN CAPACITY IN POST-CONFLICT RECONSTRUCTION

    E-Print Network [OSTI]

    Yanikoglu, Berrin

    TURKEY'S CIVILIAN CAPACITY IN POST-CONFLICT RECONSTRUCTION 1 TURKEY'S CIVILIAN CAPACITY IN POST-CONFLICT RECONSTRUCTION by Teri Murphy & Onur Sazak #12;Turkey's Civilian Capacity in post-Conflict Reconstruction By Teri-checking was indispensable for the realization of this project. #12;TURKEY'S CIVILIAN CAPACITY IN POST

  19. Statistical methods for tomographic image reconstruction Jeffrey A. Fessler

    E-Print Network [OSTI]

    Fessler, Jeffrey A.

    ) · Pittsburgh PET/CT "side information" scans reconstructed using ASPIRE 3 #12;PET Data Collection i Ray Radial 7, 2000 #12;Outline · Group/Lab · PET Imaging · Statistical image reconstruction Choices / tradeoffs Positions AngularPositions Sinogram i = 1 i = nd nd (ncrystals)2 4 #12;PET Reconstruction Problem

  20. Space and camera path reconstruction for omni-directional vision

    E-Print Network [OSTI]

    Knill, Oliver

    2007-01-01T23:59:59.000Z

    In this paper, we address the inverse problem of reconstructing a scene as well as the camera motion from the image sequence taken by an omni-directional camera. Our structure from motion results give sharp conditions under which the reconstruction is unique. For example, if there are three points in general position and three omni-directional cameras in general position, a unique reconstruction is possible up to a similarity. We then look at the reconstruction problem with m cameras and n points, where n and m can be large and the over-determined system is solved by least square methods. The reconstruction is robust and generalizes to the case of a dynamic environment where landmarks can move during the movie capture. Possible applications of the result are computer assisted scene reconstruction, 3D scanning, autonomous robot navigation, medical tomography and city reconstructions.

  1. Hanford Environmental Dose Reconstruction Project Monthly Report

    SciTech Connect (OSTI)

    Finch, S.M. (comp.)

    1990-05-01T23:59:59.000Z

    This monthly report summarizes the technical progress and project status for the Hanford Environmental Dose Reconstruction (HEDR) Project being conducted at Pacific Northwest Laboratory (PNL) under the direction of a Technical Steering Panel (TSP). The TSP is composed of experts in numerous technical fields related to this project and represents the interests of the public. The US Department of Energy (DOE) funds the project. The objective of the Hanford Environmental Dose Reconstruction Project is to estimate the radiation doses that populations could have received from nuclear operations at Hanford since 1944. The project is divided into the following technical tasks. These tasks address each of the primary steps in the path from radioactive releases to dose estimates source terms, environmental transport, environmental monitoring data, demographics, agriculture, and food habits, and environmental pathways and dose estimates.

  2. Light-flavor squark reconstruction at CLIC

    E-Print Network [OSTI]

    Simon, Frank

    2015-01-01T23:59:59.000Z

    We present a simulation study of the prospects for the mass measurement of TeV-scale light-flavored right-handed squark at a 3 TeV e+e- collider based on CLIC technology. The analysis is based on full GEANT4 simulations of the CLIC_ILD detector concept, including Standard Model physics backgrounds and beam-induced hadronic backgrounds from two-photon processes. The analysis serves as a generic benchmark for the reconstruction of highly energetic jets in events with substantial missing energy. Several jet finding algorithms were evaluated, with the longitudinally invariant kt algorithm showing a high degree of robustness towards beam-induced background while preserving the features typically found in algorithms developed for e+e- collisions. The presented study of the reconstruction of light-flavored squarks shows that for TeV-scale squark masses, sub-percent accuracy on the mass measurement can be achieved at CLIC.

  3. Light-flavor squark reconstruction at CLIC

    E-Print Network [OSTI]

    Simon, Frank Richard

    2015-01-01T23:59:59.000Z

    We present a simulation study of the prospects for the mass measurement of TeV-scale light- flavored right-handed squark at a 3 TeV e+e collider based on CLIC technology. The analysis is based on full GEANT4 simulations of the CLIC_ILD detector concept, including Standard Model physics backgrounds and beam-induced hadronic backgrounds from two- photon processes. The analysis serves as a generic benchmark for the reconstruction of highly energetic jets in events with substantial missing energy. Several jet finding algorithms were evaluated, with the longitudinally invariant kt algorithm showing a high degree of robustness towards beam-induced background while preserving the features typically found in algorithms developed for e+e- collisions. The presented study of the reconstruction of light-flavored squarks shows that for TeV-scale squark masses, sub-percent accuracy on the mass measurement can be achieved at CLIC.

  4. Reconstructing Spatial Distributions from Anonymized Locations

    SciTech Connect (OSTI)

    Horey, James L [ORNL] [ORNL; Forrest, Stephanie [University of New Mexico, Albuquerque] [University of New Mexico, Albuquerque; Groat, Michael [University of New Mexico, Albuquerque] [University of New Mexico, Albuquerque

    2012-01-01T23:59:59.000Z

    Devices such as mobile phones, tablets, and sensors are often equipped with GPS that accurately report a person's location. Combined with wireless communication, these devices enable a wide range of new social tools and applications. These same qualities, however, leave location-aware applications vulnerable to privacy violations. This paper introduces the Negative Quad Tree, a privacy protection method for location aware applications. The method is broadly applicable to applications that use spatial density information, such as social applications that measure the popularity of social venues. The method employs a simple anonymization algorithm running on mobile devices, and a more complex reconstruction algorithm on a central server. This strategy is well suited to low-powered mobile devices. The paper analyzes the accuracy of the reconstruction method in a variety of simulated and real-world settings and demonstrates that the method is accurate enough to be used in many real-world scenarios.

  5. Smoothing spline primordial power spectrum reconstruction

    E-Print Network [OSTI]

    Carolyn Sealfon; Licia Verde; Raul Jimenez

    2005-11-01T23:59:59.000Z

    We reconstruct the shape of the primordial power spectrum (PPS) using a smoothing spline. Our adapted smoothing spline technique provides a complementary method to existing efforts to search for smooth features in the PPS, such as a running spectral index. With this technique we find no significant indication with WMAP first-year data that the PPS deviates from Harrison-Zeldovich and no evidence for loss of power on large scales. We also examine the effect on the cosmological parameters of the additional PPS freedom. Smooth variations in the PPS are not significantly degenerate with other cosmological parameters, but the spline reconstruction greatly increases the errors on the optical depth and baryon fraction.

  6. Hanford Environmental Dose Reconstruction Project. Monthly report

    SciTech Connect (OSTI)

    Cannon, S.D.; Finch, S.M. [comps.

    1992-10-01T23:59:59.000Z

    The objective of the Hanford Environmental Dose Reconstruction (HEDR) Project is to estimate the radiation doses that individuals and populations could have received from nuclear operations at Hanford since 1944. The independent Technical Steering Panel (TSP) provides technical direction. The project is divided into the following technical tasks. These tasks correspond to the path radionuclides followed from release to impact on humans (dose estimates):Source Terms, Environmental Transport, Environmental Monitoring Data, Demography, Food Consumption, and Agriculture, and Environmental Pathways and Dose Estimates.

  7. Moment of Fluid Interface Reconstruction with Filaments

    SciTech Connect (OSTI)

    Jemison, Matthew B. [Los Alamos National Laboratory

    2012-08-15T23:59:59.000Z

    A moving system made up of multiple fluids (e.g. air and water) may be defined by an evolving interface with a changing topology. MOF uses a piecewise linear interface reconstruction to numerically model deforming boundaries. Given a volume fraction V and reference centroid x for a material in cell {Omega}, we seek to find an interface {Gamma} that exactly captures V and minimizes error in x. This differs from Volume of Fluid methods.

  8. Hanford Environmental Dose Reconstruction Project Monthly Report

    SciTech Connect (OSTI)

    Finch, S.M.; McMakin, A.H. (comps.)

    1992-03-01T23:59:59.000Z

    The objective of the Hanford Environmental Dose Reconstruction Project is to estimate the radiation doses that individuals and populations could have received from nuclear operations at Hanford since 1944. The project is divided into the following technical tasks. These tasks correspond to the path radionuclides followed, from release to impact on humans (dose estimates): Source Terms, Environmental Transport, Environmental Monitoring Data, Demography, Food Consumption, and Agriculture, and Environmental Pathways and Dose Estimates.

  9. Hanford Environmental Dose Reconstruction Project. Monthly report

    SciTech Connect (OSTI)

    Finch, S.M.; McMakin, A.H. [comps.

    1992-04-01T23:59:59.000Z

    The objective of the Hanford Environmental Dose Reconstruction Project is to estimate the radiation doses that individuals and populations could have received from nuclear operations at Hanford since 1944. The project is divided into the following technical tasks. These tasks correspond to the path radionuclides followed, from release to impact on humans (dose estimates): Source terms, environmental transport, environmental monitoring data, demography, food consumption, and agriculture, and environmental pathways and dose estimates.

  10. Santo Antonio de Tanna? story and reconstruction 

    E-Print Network [OSTI]

    Fraga, Tiago Miguel

    2008-10-10T23:59:59.000Z

    of the requirements for the degree of MASTER OF ARTS Approved by: Chair of Committee, Luis Filipe Vieira de Castro Committee Members, Kevin J. Crisman James M. Rosenheim Head of Department, Donny L. Hamilton December 2007 Major Subject: Anthropology... iii ABSTRACT Santo Antonio de Tanná: Story and Reconstruction. (December 2007) Tiago Miguel Fraga, Lic., Lusiada University Chair of Advisory Committee: Dr. Luis Filipe Vieira de Castro Buy a puzzle, assemble it, and destroy its original box...

  11. Santo Antonio de Tanna story and reconstruction 

    E-Print Network [OSTI]

    Fraga, Tiago Miguel

    2009-05-15T23:59:59.000Z

    of the requirements for the degree of MASTER OF ARTS Approved by: Chair of Committee, Luis Filipe Vieira de Castro Committee Members, Kevin J. Crisman James M. Rosenheim Head of Department, Donny L. Hamilton December 2007 Major Subject: Anthropology... iii ABSTRACT Santo Antonio de Tann?: Story and Reconstruction. (December 2007) Tiago Miguel Fraga, Lic., Lusiada University Chair of Advisory Committee: Dr. Luis Filipe Vieira de Castro Buy a puzzle, assemble it, and destroy its original box...

  12. Scalable Reconstruction of Unitary Processes and Hamiltonians

    E-Print Network [OSTI]

    M. Holzäpfel; T. Baumgratz; M. Cramer; M. B. Plenio

    2014-11-24T23:59:59.000Z

    Based on recently introduced efficient quantum state tomography schemes, we propose a scalable method for the tomography of unitary processes and the reconstruction of Hamiltonians. As opposed to the exponential scaling with the number of subsystems of standard quantum process tomography, the method relies only on measurements of linearly many local observables and either (a) the ability to prepare eigenstates of locally informationally complete operators or (b) access to an ancilla of the same size as the to-be-characterized system and the ability to prepare a maximally entangled state on the combined system. As such, the method requires at most linearly many states to be prepared and linearly many observables to be measured. The quality of the reconstruction can be quantified with the same experimental resources that are required to obtain the reconstruction in the first place. Our numerical simulations of several quantum circuits and local Hamiltonians suggest a polynomial scaling of the total number of measurements and post-processing resources.

  13. School of Applied Technology School of Applied Technology

    E-Print Network [OSTI]

    Heller, Barbara

    School of Applied Technology School of Applied Technology Daniel F. and Ada L. Rice Campus Illinois Institute of Technology 201 E. Loop Road Wheaton, IL 60187 630.682.6000 www.iit.edu/applied tech/ Dean and Academic Director, Information Technology and Management Programs: C. Robert Carlson Director of Operations

  14. School of Applied Technology School of Applied Technology

    E-Print Network [OSTI]

    Heller, Barbara

    School of Applied Technology School of Applied Technology Daniel F. and Ada L. Rice Campus Illinois Institute of Technology 201 E. Loop Road Wheaton, IL 60187 630.682.6000 www.iit.edu/applied tech/ Dean Technology and Management Programs: Mazin Safar Director, Marketing & Development: Scott Pfeiffer Director

  15. Information-theoretic discrepancy based iterative reconstructions (IDIR) for polychromatic x-ray tomography

    SciTech Connect (OSTI)

    Jang, Kwang Eun; Lee, Jongha; Sung, Younghun; Lee, SeongDeok [Advanced Media Laboratory, Samsung Advanced Institute of Technology (SAIT), San 14, Nongseo Dong, Giheung Gu, Yongin, Gyeonggi 446-712 (Korea, Republic of)] [Advanced Media Laboratory, Samsung Advanced Institute of Technology (SAIT), San 14, Nongseo Dong, Giheung Gu, Yongin, Gyeonggi 446-712 (Korea, Republic of)

    2013-09-15T23:59:59.000Z

    Purpose: X-ray photons generated from a typical x-ray source for clinical applications exhibit a broad range of wavelengths, and the interactions between individual particles and biological substances depend on particles' energy levels. Most existing reconstruction methods for transmission tomography, however, neglect this polychromatic nature of measurements and rely on the monochromatic approximation. In this study, we developed a new family of iterative methods that incorporates the exact polychromatic model into tomographic image recovery, which improves the accuracy and quality of reconstruction.Methods: The generalized information-theoretic discrepancy (GID) was employed as a new metric for quantifying the distance between the measured and synthetic data. By using special features of the GID, the objective function for polychromatic reconstruction which contains a double integral over the wavelength and the trajectory of incident x-rays was simplified to a paraboloidal form without using the monochromatic approximation. More specifically, the original GID was replaced with a surrogate function with two auxiliary, energy-dependent variables. Subsequently, the alternating minimization technique was applied to solve the double minimization problem. Based on the optimization transfer principle, the objective function was further simplified to the paraboloidal equation, which leads to a closed-form update formula. Numerical experiments on the beam-hardening correction and material-selective reconstruction were conducted to compare and assess the performance of conventional methods and the proposed algorithms.Results: The authors found that the GID determines the distance between its two arguments in a flexible manner. In this study, three groups of GIDs with distinct data representations were considered. The authors demonstrated that one type of GIDs that comprises “raw” data can be viewed as an extension of existing statistical reconstructions; under a particular condition, the GID is equivalent to the Poisson log-likelihood function. The newly proposed GIDs of the other two categories consist of log-transformed measurements, which have the advantage of imposing linearized penalties over multiple discrepancies. For all proposed variants of the GID, the aforementioned strategy was used to obtain a closed-form update equation. Even though it is based on the exact polychromatic model, the derived algorithm bears a structural resemblance to conventional methods based on the monochromatic approximation. The authors named the proposed approach as information-theoretic discrepancy based iterative reconstructions (IDIR). In numerical experiments, IDIR with raw data converged faster than previously known statistical reconstruction methods. IDIR with log-transformed data exhibited superior reconstruction quality and faster convergence speed compared with conventional methods and their variants.Conclusions: The authors' new framework for tomographic reconstruction allows iterative inversion of the polychromatic data model. The primary departure from the traditional iterative reconstruction was the employment of the GID as a new metric for quantifying the inconsistency between the measured and synthetic data. The proposed methods outperformed not only conventional methods based on the monochromatic approximation but also those based on the polychromatic model. The authors have observed that the GID is a very flexible means to design an objective function for iterative reconstructions. Hence, the authors expect that the proposed IDIR framework will also be applicable to other challenging tasks.

  16. Waveform Inversion with Source Encoding for Breast Sound Speed Reconstruction in Ultrasound Computed Tomography

    E-Print Network [OSTI]

    Wang, Kun; Anis, Fatima; Li, Cuiping; Duric, Neb; Anastasio, Mark A

    2015-01-01T23:59:59.000Z

    Ultrasound computed tomography (USCT) holds great promise for improving the detection and management of breast cancer. Because they are based on the acoustic wave equation, waveform inversion-based reconstruction methods can produce images that possess improved spatial resolution properties over those produced by ray-based methods. However, waveform inversion methods are computationally demanding and have not been applied widely in USCT breast imaging. In this work, source encoding concepts are employed to develop an accelerated USCT reconstruction method that circumvents the large computational burden of conventional waveform inversion methods. This method, referred to as the waveform inversion with source encoding (WISE) method, encodes the measurement data using a random encoding vector and determines an estimate of the sound speed distribution by solving a stochastic optimization problem by use of a stochastic gradient descent algorithm. Both computer-simulation and experimental phantom studies are conduc...

  17. Method for characterizing mask defects using image reconstruction from X-ray diffraction patterns

    DOE Patents [OSTI]

    Hau-Riege, Stefan Peter (Fremont, CA)

    2007-05-01T23:59:59.000Z

    The invention applies techniques for image reconstruction from X-ray diffraction patterns on the three-dimensional imaging of defects in EUVL multilayer films. The reconstructed image gives information about the out-of-plane position and the diffraction strength of the defect. The positional information can be used to select the correct defect repair technique. This invention enables the fabrication of defect-free (since repaired) X-ray Mo--Si multilayer mirrors. Repairing Mo--Si multilayer-film defects on mask blanks is a key for the commercial success of EUVL. It is known that particles are added to the Mo--Si multilayer film during the fabrication process. There is a large effort to reduce this contamination, but results are not sufficient, and defects continue to be a major mask yield limiter. All suggested repair strategies need to know the out-of-plane position of the defects in the multilayer.

  18. Applied inductive learning Louis Wehenkel

    E-Print Network [OSTI]

    Wehenkel, Louis

    problems 20 2.3.1 Classes 20 2.3.2 Types of classi cation problems 20 2.3.3 Learning and test sets 21 2Applied inductive learning Louis Wehenkel University of Li`ege Faculty of Applied Sciences Course;#12;APPLIED INDUCTIVE LEARNING COURSE NOTES : OCTOBER 2000 LOUIS A. WEHENKEL University of Li#12;ege

  19. Applied inductive learning Louis Wehenkel

    E-Print Network [OSTI]

    Wehenkel, Louis

    .3.2 Types of classification problems 20 2.3.3 Learning and test sets 21 2.3.4 Decision or classificationApplied inductive learning Louis Wehenkel University of Liâ??ege Faculty of Applied Sciences Courseâ??e'' #12; #12; APPLIED INDUCTIVE LEARNING COURSE NOTES : OCTOBER 2000 LOUIS A. WEHENKEL University of Li

  20. Journal of Applied Ecology 2004

    E-Print Network [OSTI]

    Holl, Karen

    Journal of Applied Ecology 2004 41, 922­933 © 2004 British Ecological Society Blackwell Publishing-scale, Sacramento River, succession, vegetation Journal of Applied Ecology (2004) 41, 922­933 Introduction More than@ucsc.edu). #12;923 Riparian forest restoration © 2004 British Ecological Society, Journal of Applied Ecology, 41

  1. Journal of Applied Ecology 2002

    E-Print Network [OSTI]

    Holl, Karen

    Journal of Applied Ecology 2002 39, 960­970 © 2002 British Ecological Society Blackwell Science- tion, succession. Journal of Applied Ecology (2002) 39, 960­970 Introduction Efforts to reclaim@ucsc.edu). #12;961 Vegetation on reclaimed mines © 2002 British Ecological Society, Journal of Applied Ecology

  2. Applying Mathematics.... ... to catch criminals

    E-Print Network [OSTI]

    O'Leary, Michael

    Applying Mathematics.... ... to catch criminals Mike O'Leary Department of Mathematics Towson University Stevenson University Kappa Mu Epsion 2008 Mike O'Leary (Towson University) Applying mathematics Department Mike O'Leary (Towson University) Applying mathematics to catch criminals September 10, 2008 2 / 42

  3. Preparing ATLAS reconstruction software for LHC's Run 2

    E-Print Network [OSTI]

    ATLAS Collaboration; The ATLAS collaboration

    2015-01-01T23:59:59.000Z

    In order to maximize the physics potential of the ATLAS detector during LHC's Run 2, the reconstruction software has been updated. Flat computing budgets required a factor of three improved run time, while the new xAOD data format forced changes in the reconstruction algorithms. Physics performance improvements have been made in the reconstruction of various objects, using improved techniques like multivariate discriminants, etc. This paper will present an overview of the improvements that have been made.

  4. War damages and reconstruction of Peruca dam

    SciTech Connect (OSTI)

    Nonveiller, E. [Univ. of Zagreb (Croatia). Faculty of Civil Engineering] [Univ. of Zagreb (Croatia). Faculty of Civil Engineering; Rupcic, J. [Univ. of Zagreb (Croatia). Faculty of Civil Engineering] [Univ. of Zagreb (Croatia). Faculty of Civil Engineering; [Elektroprojekt Consulting Engineering, Zagreb (Croatia); Sever, Z. [Elektroprojekt Consulting Engineering, Zagreb (Croatia)] [Elektroprojekt Consulting Engineering, Zagreb (Croatia)

    1999-04-01T23:59:59.000Z

    The paper describes the heavy damages caused by blasting in the Peruca rockfill dam in Croatia in January 1993. Complete collapse of the dam by overtopping was prevented through quick action of the dam owner by dumping clayey gravel on the lowest sections of the dam crest and opening the bottom outlet of the reservoir, thus efficiently lowering the water level. After the damages were sufficiently established and alternatives for restoration of the dam were evaluated, it was decided to construct a diaphragm wall through the damaged core in the central dam part as the impermeable dam element and to rebuild the central clay core at the dam abutments. Reconstruction works are described.

  5. Disparity coding: a technique for stereo reconstruction

    E-Print Network [OSTI]

    Bell, William Bryan

    1988-01-01T23:59:59.000Z

    . Lee for his added help. TABLE OF COiUTENTS CHAPTER I INTRODI, CTION II FUSIOU AIODEL . Page A. Noise Introduction B. Edge Detection C. Fusion D. Disparity Calculation III CHANNEL CODING . 6 . 8 13 18 21 IV IXIAGE RECONSTRUCTION V... Values for ON Type Edges Noiseless Right Stereo Image Edges Right Stereo Image Edges with a SNR of 3 dB AWGN Separation Candidate and Target Edges Noiseless, ON Type Fusion Field Image Gray ? level Values of ON Type Fusion Field Noiseless Disparity...

  6. Reconstructing Quintom from Ricci Dark Energy

    E-Print Network [OSTI]

    Chao-Jun Feng

    2009-02-11T23:59:59.000Z

    The holographic dark energy with Ricci scalar as IR cutoff called Ricci dark energy(RDE) probes the nature of dark energy with respect to the holographic principle of quantum gravity theory. The scalar field dark energy models like quintom are often viewed as effective description of the underlying field theory of dark energy. In this letter, we assume RDE model as the underlying field theory to find how the generalized ghost condensate model(GGC) that can easily realize quintom behavior can be used to effectively describe it and reconstruct the function $h(\\phi)$ of the generalized ghost condensate model.

  7. Hanford Environmental Dose Reconstruction Project Monthly Report

    SciTech Connect (OSTI)

    Finch, S.M. (comp.)

    1990-01-01T23:59:59.000Z

    The objective of the Hanford Environmental Dose Reconstruction Project is to estimate the radiation doses that populations could have received from nuclear operations at Hanford since 1944. The project is being managed and conducted by the Pacific Northwest Laboratory (PNL) under the direction of an independent Technical Steering Panel (TSP). The project is divided into the following technical tasks. These tasks correspond to the path radionuclides followed, from release to impact on humans (dose estimates): source terms; environmental transport; environmental monitoring data; demographics; agriculture; food habits; and environmental pathways and dose estimates. 3 figs.

  8. Spurious Lyapunov Exponents in Attractor Reconstruction

    SciTech Connect (OSTI)

    Sauer, T.D. [Department of Mathematical Sciences, George Mason University, Fairfax, Virginia 22030 (United States)] [Department of Mathematical Sciences, George Mason University, Fairfax, Virginia 22030 (United States); Tempkin, J.A.; Yorke, J.A. [Department of Mathematics, University of Maryland, College Park, Maryland 20742 (United States)] [Department of Mathematics, University of Maryland, College Park, Maryland 20742 (United States); Sauer, T.D.; Yorke, J.A. [Institute of Physical Science and Technology, University of Maryland, College Park, Maryland 20742 (United States)] [Institute of Physical Science and Technology, University of Maryland, College Park, Maryland 20742 (United States)

    1998-11-01T23:59:59.000Z

    Lyapunov exponents, perhaps the most informative invariants of a complicated dynamical process, are also among the most difficult to determine from experimental data. In particular, when using embedding theory to build chaotic attractors in a reconstruction space, extra {open_quotes}spurious{close_quotes} Lyapunov exponents arise that are not Lyapunov exponents of the original system. The origin of these spurious exponents is discussed, and formulas for their determination in the low noise limit are given. {copyright} {ital 1998} {ital The American Physical Society}

  9. accurate image reconstruction: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    and computer vision Hamprecht, Fred A. 5 Accurate Dynamic FIM Estimation from List-Mode PET Data for Uniform Resolution Reconstructions1 Biology and Medicine Websites Summary:...

  10. Population estimates for Phase 1: Hanford Environmental Dose Reconstruction Project

    SciTech Connect (OSTI)

    Beck, D.M.; Erickson, A.R.; Harkreader, S.A.

    1992-03-01T23:59:59.000Z

    This report summarizes the population estimates of Phase I of the Hanford Environmental Dose Reconstruction (HEDR) Project. These estimates were used to develop preliminary dose estimates.

  11. Genome-scale reconstruction and analysis of eukaryotic metabolic networks

    E-Print Network [OSTI]

    Hurlen, Natalie Christine

    2006-01-01T23:59:59.000Z

    Reconstruction of Helicobacter pylori (iIT341 GSM/GPR): Anmetabolic model of Helicobacter pylori 26695. Journal ofinfluenzae , and Helicobacter pylori , have led to useful

  12. Optimisation of the ATLAS Track Reconstruction Software for Run-2

    E-Print Network [OSTI]

    Salzburger, Andreas; The ATLAS collaboration

    2015-01-01T23:59:59.000Z

    Track reconstruction is one of the most complex element of the reconstruction of events recorded by ATLAS from collisions delivered by the LHC. It is the most time consuming reconstruction component in high luminosity environments. The flat budget projections for computing resources for Run-2 of the LHC together with the demands of reconstructing higher pile-up collision data at rates more than double those in Run-1 (an increase from 400 Hz to 1 kHz in trigger output) have put stringent requirements on the track reconstruction software. The ATLAS experiment has performed a two year long software campaign which aimed to reduce the reconstruction rate by a factor of three to meet the resource limitations for Run-2: the majority of the changes to achieve this were improvements to the track reconstruction software. The CPU processing time of ATLAS track reconstruction was reduced by more than a factor of three during this campaign without any loss of output information of the track reconstruction. We present the ...

  13. A Fast Algorithm for Total Variation Image Reconstruction from ...

    E-Print Network [OSTI]

    2010-01-12T23:59:59.000Z

    small number of linear projections and then reconstructs it from the limited ... [29] regularization in recovering high quality image is not without a price.

  14. aspects reconstruction complications: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    better information Yanikoglu, Berrin 5 Reconstructing Images from Projections Using the Maximum-Entropy Method. Numerical Simulations of Low-Aspect Astrotomography Astrophysics...

  15. Hanford Environmental Dose Reconstruction Project. Monthly report

    SciTech Connect (OSTI)

    Finch, S. M.; McMakin, A. H.

    1991-09-01T23:59:59.000Z

    The objective of the Hanford Environmental Dose Reconstruction Project is to estimate the radiation dose that individuals and populations could have received from nuclear operations at Hanford since 1944. The project is divided into five technical tasks. These tasks correspond to the path radionuclides followed, from release to impact on humans (i.e., dose estimates). The Source Terms Task develops estimates of radioactive emissions from Hanford facilities since 1944. The Environmental Transport Task reconstructs the movements of radioactive particles from the areas of release to populations. The Environmental Monitoring Data Task assemblies, evaluates and reports historical environmental monitoring data. The Demographics, Agriculture and Food Habits Task develops the data needed to identify the populations that could have been affected by the releases. The Environmental Pathways and Dose Estimates Task used the information derived from the other Tasks to estimate the radiation doses individuals could have received from Hanford radiation. This document lists the progress on this project as of September 1991. 3 figs., 2 tabs.

  16. Structural algorithm to reservoir reconstruction using passive seismic data (synthetic example)

    SciTech Connect (OSTI)

    Smaglichenko, Tatyana A.; Volodin, Igor A.; Lukyanitsa, Andrei A.; Smaglichenko, Alexander V.; Sayankina, Maria K. [Oil and Gas Research Institute, Russian Academy of Science, Gubkina str.3, 119333, Moscow (Russian Federation); Faculty of Computational Mathematics and Cybernetics, M.V. Lomonosov Moscow State University, Leninskie gory, 1, str.52,Second Teaching Building.119991 Moscow (Russian Federation); Shmidt's Institute of Physics of the Earth, Russian Academy of Science, Bolshaya Gruzinskaya str. 10, str.1, 123995 Moscow (Russian Federation); Oil and Gas Research Institute, Russian Academy of Science, Gubkina str.3, 119333, Moscow (Russian Federation)

    2012-09-26T23:59:59.000Z

    Using of passive seismic observations to detect a reservoir is a new direction of prospecting and exploration of hydrocarbons. In order to identify thin reservoir model we applied the modification of Gaussian elimination method in conditions of incomplete synthetic data. Because of the singularity of a matrix conventional method does not work. Therefore structural algorithm has been developed by analyzing the given model as a complex model. Numerical results demonstrate of its advantage compared with usual way of solution. We conclude that the gas reservoir is reconstructed by retrieving of the image of encasing shale beneath it.

  17. Error Detection, Factorization and Correction for Multi-View Scene Reconstruction from Aerial Imagery

    SciTech Connect (OSTI)

    Hess-Flores, M

    2011-11-10T23:59:59.000Z

    Scene reconstruction from video sequences has become a prominent computer vision research area in recent years, due to its large number of applications in fields such as security, robotics and virtual reality. Despite recent progress in this field, there are still a number of issues that manifest as incomplete, incorrect or computationally-expensive reconstructions. The engine behind achieving reconstruction is the matching of features between images, where common conditions such as occlusions, lighting changes and texture-less regions can all affect matching accuracy. Subsequent processes that rely on matching accuracy, such as camera parameter estimation, structure computation and non-linear parameter optimization, are also vulnerable to additional sources of error, such as degeneracies and mathematical instability. Detection and correction of errors, along with robustness in parameter solvers, are a must in order to achieve a very accurate final scene reconstruction. However, error detection is in general difficult due to the lack of ground-truth information about the given scene, such as the absolute position of scene points or GPS/IMU coordinates for the camera(s) viewing the scene. In this dissertation, methods are presented for the detection, factorization and correction of error sources present in all stages of a scene reconstruction pipeline from video, in the absence of ground-truth knowledge. Two main applications are discussed. The first set of algorithms derive total structural error measurements after an initial scene structure computation and factorize errors into those related to the underlying feature matching process and those related to camera parameter estimation. A brute-force local correction of inaccurate feature matches is presented, as well as an improved conditioning scheme for non-linear parameter optimization which applies weights on input parameters in proportion to estimated camera parameter errors. Another application is in reconstruction pre-processing, where an algorithm detects and discards frames that would lead to inaccurate feature matching, camera pose estimation degeneracies or mathematical instability in structure computation based on a residual error comparison between two different match motion models. The presented algorithms were designed for aerial video but have been proven to work across different scene types and camera motions, and for both real and synthetic scenes.

  18. SIAM J. APPL. MATH. c 2007 Society for Industrial and Applied Mathematics Vol. 67, No. 5, pp. 13301352

    E-Print Network [OSTI]

    Guzina, Bojan

    SIAM J. APPL. MATH. c 2007 Society for Industrial and Applied Mathematics Vol. 67, No. 5, pp. 1330 electronically July 11, 2007. http://www.siam.org/journals/siap/67-5/65312.html Computer Science and Mathematics­1352 ELASTIC SCATTERER RECONSTRUCTION VIA THE ADJOINT SAMPLING METHOD S. NINTCHEU FATA AND B. B. GUZINA

  19. APPLIED TECHNOLOGY Strategic Plan Summary

    E-Print Network [OSTI]

    Heller, Barbara

    and collaborative technology-based support for the proposed Innovation Center and the Entrepreneurship Academy. We research centers­CNR, CPI, and CSP. Establish a food safety and processing technology hub/incubator/innovationSCHOOL OF APPLIED TECHNOLOGY Strategic Plan Summary #12;School of Applied Technology Strategic Plan

  20. Hierarchical regularization for edge-preserving reconstruction of PET images

    E-Print Network [OSTI]

    Bardsley, John

    Hierarchical regularization for edge-preserving reconstruction of PET images Johnathan M. Bardsley.somersalo@case.edu Abstract. The data in PET emission and transmission tomography and in low dose X-ray tomography, consists that the algorithm gives good quality reconstructions for both emission and transmission PET problems in an efficient

  1. Parallel algorithm and hybrid regularization for dynamic PET reconstruction

    E-Print Network [OSTI]

    Boyer, Edmond

    Parallel algorithm and hybrid regularization for dynamic PET reconstruction N. Pustelnik, Student Abstract--To improve the estimation at the voxel level in dynamic Positron Emission Tomography (PET in the presence of Poisson noise and it is extended here to (dynamic) space + time PET image reconstruction

  2. REAL-TIME EQUILIBRIUM RECONSTRUCTION IN A TOKAMAK

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    REAL-TIME EQUILIBRIUM RECONSTRUCTION IN A TOKAMAK J. Blum, C. Boulbe and B. Faugeras Laboratoire J reconstruction of the plasma current density in a Tokamak and of its equilibrium. The problem consists equilibrium of a plasma in a Tokamak. The experimental measurements that enable this identification

  3. A RECONSTRUCTION ALGORITHM FOR ULTRASOUND-MODULATED DIFFUSE OPTICAL

    E-Print Network [OSTI]

    Garnier, Josselin

    A RECONSTRUCTION ALGORITHM FOR ULTRASOUND-MODULATED DIFFUSE OPTICAL TOMOGRAPHY HABIB AMMARI is to develop an efficient reconstruction algorithm for ultrasound-modulated diffuse optical tomography wave is propagating inside the medium, the optical parameter of the medium is perturbed. Using cross

  4. Efficient MR Image Reconstruction for Compressed MR Imaging

    E-Print Network [OSTI]

    Huang, Junzhou

    demonstrate the superior performance of the proposed algorithm for com- pressed MR image reconstruction. 1 [1][2] show that it is possi- ble to accurately reconstruct the Magnetic Resonance (MR) images from for real MR images. Computation became the bottleneck that prevented this good model (1) from being used

  5. Analysis, Reconstruction and Manipulation using Arterial Snakes Hanlin Zheng

    E-Print Network [OSTI]

    Mitra, Niloy J.

    a reconstructed model. The extracted high-level shape representation enables easy, intuitive, yet powerfulAnalysis, Reconstruction and Manipulation using Arterial Snakes Guo Li Ligang Liu Hanlin Zheng arterial snake network edited model Figure 1: Starting from a noisy raw scan with large parts missing our

  6. On singularities and instability of reconstruction in thermoacoustic tomography

    E-Print Network [OSTI]

    Nguyen, Linh V

    2009-01-01T23:59:59.000Z

    We consider the problem of thermoacoustic tomography (TAT), in which one needs to reconstruct the initial value of a solution of the wave equation from its value on an observation surface. We show that if some geometric rays for the equation do not intersect the observation surface, the reconstruction in TAT is not H\\"{o}lder stable.

  7. Review of Parallel Computing Techniques for Computed Tomography Image Reconstruction

    E-Print Network [OSTI]

    Wang, Ge

    Review of Parallel Computing Techniques for Computed Tomography Image Reconstruction Jun Ni1, 3 representative analytic and iterative reconstruction algorithms for X-ray computed tomography (CT), we address X-ray computed tomography (CT) is one of the most important non-invasive medical imaging techniques

  8. Reconstructing $f(R)$ Theory from Ricci Dark Energy

    E-Print Network [OSTI]

    Chao-Jun Feng

    2008-12-11T23:59:59.000Z

    In this letter, we regard the $f(R)$ theory as an effective description for the acceleration of the universe and reconstruct the function $f(R)$ from the Ricci dark energy, which respects holographic principle of quantum gravity. By using different parameter $\\alpha$ in RDE, we show the behaviors of reconstructed $f(R)$ and find they are much different in the future.

  9. A Surface Reconstruction Method Using Global Graph Cut Optimization

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    SAR (China) 1sparis@csail.mit.edu ­ Sylvain Paris has worked on this project during his PhD at ARTIS reconstruction from multiple calibrated images mainly has been approached using local methods, either to 1/10th of a pixel. Index Terms Graph flow, graph cut, 3D reconstruction from calibrated cameras

  10. Methods for the Reconstruction of Parallel Turbo Codes

    E-Print Network [OSTI]

    Cluzeau, Mathieu; Tillich, Jean-Pierre

    2010-01-01T23:59:59.000Z

    We present two new algorithms for the reconstruction of turbo codes from a noisy intercepted bitstream. With these algorithms, we were able to reconstruct various turbo codes with realistic parameter sizes. To the best of our knowledge, these are the first algorithms able to recover the whole permutation of a turbo code in the presence of high noise levels.

  11. Digital tomosynthesis mammography using a parallel maximum likelihood reconstruction method

    E-Print Network [OSTI]

    Meleis, Waleed

    Digital tomosynthesis mammography using a parallel maximum likelihood reconstruction method Tao Wu , a Radiology Department, Massachusetts General Hospital, Boston, MA 02114 b Dept. of Electrical and Computer on an iterative maximum likelihood (ML) algorithm, is developed to provide fast reconstruction for digital

  12. Seismic Data Reconstruction via Shearlet-Regularized Directional Inpainting

    E-Print Network [OSTI]

    Steidl, Gabriele

    Seismic Data Reconstruction via Shearlet-Regularized Directional Inpainting S¨oren H¨auser and Jianwei Ma May 15, 2012 We propose a new method for seismic data reconstruction by directional weighted of thousands of meters with a good resolution, the seismic method has become the most commonly used geophysical

  13. Genes order and phylogenetic reconstruction: application to #Proteobacteria

    E-Print Network [OSTI]

    Fertin, Guillaume

    @lacim.uqam.ca Abstract. We study the problem of phylogenetic reconstruction based on gene order for whole genomes. We define three genomic distances between whole genomes represented by signed sequences, based­ logeny for a group of 12 complete genomes of #­Proteobacteria. Keywords: Phylogenetic reconstruction

  14. Genes order and phylogenetic reconstruction: application to -Proteobacteria

    E-Print Network [OSTI]

    Fertin, Guillaume

    @lacim.uqam.ca Abstract. We study the problem of phylogenetic reconstruction based on gene order for whole genomes. We define three genomic distances between whole genomes represented by signed sequences, based- logeny for a group of 12 complete genomes of -Proteobacteria. Keywords: Phylogenetic reconstruction

  15. Attenuation map reconstruction from TOF PET data

    E-Print Network [OSTI]

    Yang, Qingsong; Wang, Ge

    2013-01-01T23:59:59.000Z

    To reconstruct a radioactive tracer distribution with positron emission tomography (PET), the background attenuation correction is needed to eliminate image artifacts. Recent research shows that time-of-flight (TOF) PET data determine the attenuation sinogram up to a constant, and its gradient can be computed using an analytic algorithm. In this paper, we study a direct estimation of the sinogram only from TOF PET data. First, the gradient of the attenuation sinogram is estimated using the aforementioned algorithm. Then, a relationship is established to link the differential attenuation sinogram and the underlying attenuation background. Finally, an iterative algorithm is designed to determine the attenuation sinogram accurately and stably. A 2D numerical simulation study is conducted to verify the correctness of our proposed approach.

  16. Hanford Environmental Dose Reconstruction Project. Monthly report

    SciTech Connect (OSTI)

    McMakin, A.H.; Cannon, S.D.; Finch, S.M. [comps.

    1992-07-01T23:59:59.000Z

    The objective of the Hanford Environmental Dose Reconstruction (HEDR) Project is to estimate the radiation doses that individuals and populations could have received from nuclear operations at Hanford since 1944. The TSP consists of experts in environmental pathways, epidemiology, surface-water transport, ground-water transport, statistics, demography, agriculture, meteorology, nuclear engineering, radiation dosimetry, and cultural anthropology. Included are appointed technical members representing the states of Oregon, Washington, and Idaho, a representative of Native American tribes, and an individual representing the public. The project is divided into the following technical tasks. These tasks correspond to the path radionuclides followed from release to impact on humans (dose estimates): Source terms, environmental transport, environmental monitoring data, demography, food consumption, and agriculture, and environmental pathways and dose estimates. Progress is discussed.

  17. Reconstructing the Star Formation Histories of Galaxies

    E-Print Network [OSTI]

    Uta Fritze; Thomas Lilly

    2007-01-15T23:59:59.000Z

    We present a methodological study to find out how far back and to what precision star formation histories of galaxies can be reconstructed from CMDs, from integrated spectra and Lick indices, and from integrated multi-band photometry. Our evolutionary synthesis models GALEV allow to describe the evolution of galaxies in terms of all three approaches and we have assumed typical observational uncertainties for each of them and then investigated to what extent and accuracy different star formation histories can be discriminated. For a field in the LMC bar region with both a deep CMD from HST observations and a trailing slit spectrum across exactly the same field of view we could test our modelling results against real data.

  18. Department of Applied Mathematics Department of Applied Mathematics

    E-Print Network [OSTI]

    Heller, Barbara

    , computational mathematics, discrete applied mathematics, and stochas- tics. More detailed descriptions of Philosophy in Collegiate Mathematics Education (joint program with the Department of Mathematics and Science Education) Research Facilities The department provides students with office space equipped with computers

  19. 3D reconstruction of tensors and vectors

    SciTech Connect (OSTI)

    Defrise, Michel; Gullberg, Grant T.

    2005-02-17T23:59:59.000Z

    Here we have developed formulations for the reconstruction of 3D tensor fields from planar (Radon) and line-integral (X-ray) projections of 3D vector and tensor fields. Much of the motivation for this work is the potential application of MRI to perform diffusion tensor tomography. The goal is to develop a theory for the reconstruction of both Radon planar and X-ray or line-integral projections because of the flexibility of MRI to obtain both of these type of projections in 3D. The development presented here for the linear tensor tomography problem provides insight into the structure of the nonlinear MRI diffusion tensor inverse problem. A particular application of tensor imaging in MRI is the potential application of cardiac diffusion tensor tomography for determining in vivo cardiac fiber structure. One difficulty in the cardiac application is the motion of the heart. This presents a need for developing future theory for tensor tomography in a motion field. This means developing a better understanding of the MRI signal for diffusion processes in a deforming media. The techniques developed may allow the application of MRI tensor tomography for the study of structure of fiber tracts in the brain, atherosclerotic plaque, and spine in addition to fiber structure in the heart. However, the relations presented are also applicable to other fields in medical imaging such as diffraction tomography using ultrasound. The mathematics presented can also be extended to exponential Radon transform of tensor fields and to other geometric acquisitions such as cone beam tomography of tensor fields.

  20. ann-based energy reconstruction: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    with other weighting methods for energy reconstruction. J. Damgov; L. Litov 2000-12-01 4 Dark energy FRW cosmology - dynamical system reconstruction CERN Preprints Summary: We...

  1. Modeling applied to problem solving

    E-Print Network [OSTI]

    Pawl, Andrew

    We describe a modeling approach to help students learn expert problem solving. Models are used to present and hierarchically organize the syllabus content and apply it to problem solving, but students do not develop and ...

  2. IIT SCHOOL OF APPLIED TECHNOLOGY

    E-Print Network [OSTI]

    Heller, Barbara

    INDUSTRIAL TECHNOLOGY AND MANAGEMENT IIT SCHOOL OF APPLIED TECHNOLOGY PREPARING SKILLED INDIVIDUALS, INDUSTRIAL FACILITIES, SUPPLY CHAIN MANAGEMENT, SUSTAINABILITY AND MANUFACTURING TECHNOLOGY. #12;BE ONE to assess, implement, and utilize current technologies, and to learn how to manage industrial operations

  3. Sustainable FACULTY OF APPLIED SCIENCE

    E-Print Network [OSTI]

    Michelson, David G.

    Working Together Towards a Sustainable Energy Future FACULTY OF APPLIED SCIENCE Clean Energy aspects of sustainable energy solutions, and is committed to using its extensive expertise to serve, Electrical & Computer, Materials, Mechanical, Mining), the School of Architecture & Landscape Architecture

  4. Dynamic-Feature Extraction, Attribution and Reconstruction (DEAR) Method for Power System Model Reduction

    SciTech Connect (OSTI)

    Wang, Shaobu; Lu, Shuai; Zhou, Ning; Lin, Guang; Elizondo, Marcelo A.; Pai, M. A.

    2014-09-04T23:59:59.000Z

    In interconnected power systems, dynamic model reduction can be applied on generators outside the area of interest to mitigate the computational cost with transient stability studies. This paper presents an approach of deriving the reduced dynamic model of the external area based on dynamic response measurements, which comprises of three steps, dynamic-feature extraction, attribution and reconstruction (DEAR). In the DEAR approach, a feature extraction technique, such as singular value decomposition (SVD), is applied to the measured generator dynamics after a disturbance. Characteristic generators are then identified in the feature attribution step for matching the extracted dynamic features with the highest similarity, forming a suboptimal ‘basis’ of system dynamics. In the reconstruction step, generator state variables such as rotor angles and voltage magnitudes are approximated with a linear combination of the characteristic generators, resulting in a quasi-nonlinear reduced model of the original external system. Network model is un-changed in the DEAR method. Tests on several IEEE standard systems show that the proposed method gets better reduction ratio and response errors than the traditional coherency aggregation methods.

  5. CX-009420: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Additive Manufacturing Using EOSINT M280 CX(s) Applied: None applied. Date: 10/30/2012 Location(s): Missouri Offices(s): Kansas City Site Office

  6. CX-009418: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Electron Beam Melting CX(s) Applied: None applied. Date: 10/30/2012 Location(s): Missouri Offices(s): Kansas City Site Office

  7. CX-010574: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination Applied Materials - Kerf-less Crystaline-Silicon Photovoltaic: Gas to Modules CX(s) Applied: B3.6 Date: 05162013 Location(s): California,...

  8. CX-009419: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Magnetic Pulser CX(s) Applied: None applied. Date: 10/30/2012 Location(s): Missouri Offices(s): Kansas City Site Office

  9. Performance of ?q-lepton reconstruction and identification in CMS

    SciTech Connect (OSTI)

    Chatrchyan, Serguei; et al.

    2012-01-01T23:59:59.000Z

    The performance of tau-lepton reconstruction and identification algorithms is studied using a data sample of proton-proton collisions at sqrt(s)=7 TeV, corresponding to an integrated luminosity of 36 inverse picobarns collected with the CMS detector at the LHC. The tau leptons that decay into one or three charged hadrons, zero or more short-lived neutral hadrons, and a neutrino are identified using final-state particles reconstructed in the CMS tracker and electromagnetic calorimeter. The reconstruction efficiency of the algorithms is measured using tau leptons produced in Z-boson decays. The tau-lepton misidentification rates for jets and electrons are determined.

  10. Self-consistent Gravitational Lens Reconstruction

    E-Print Network [OSTI]

    S. Dye; A. Taylor

    1998-08-13T23:59:59.000Z

    We present a new method for directly determining accurate, self-consistent cluster lens mass and shear maps in the strong lensing regime from the magnification bias of background galaxies. The method relies upon pixellisation of the surface mass density distribution which allows us to write down a simple, solvable set of equations. We also show how pixellisation can be applied to methods of mass determination from measurements of shear and present a simplified method of application. The method is demonstrated with cluster models and applied to magnification data from the lensing cluster Abell 1689.

  11. Reconstruction theorem for quantum stochastic processes

    E-Print Network [OSTI]

    V. P. Belavkin

    2005-12-17T23:59:59.000Z

    Statistically interpretable axioms are formulated that define a quantum stochastic process (QSP) as a causally ordered operator field in an arbitrary space-time region T of an open quantum system under a sequential observation at a discrete space-time localization. It is shown that to every QSP described in the weak sense by a self-consistent system of causally ordered correlation kernels there corresponds a unique, up to unitary equivalence, minimal QSP in the strong sense. It is shown that the proposed QSP construction, which reduces in the case of the linearly ordered discrete T=Z to the construction of the inductive limit of Lindblad's canonical representations, corresponds to Kolmogorov's classical reconstruction if the order on T is ignored and leads to Lewis construction if one uses the system of all (not only causal) correlation kernels, regarding this system as lexicographically preordered on T. The approach presented encompasses both nonrelativistic and relativistic irreversible dynamics of open quantum systems and fields satisfying the conditions of local commutativity and semigroup covariance. Also given are necessary and sufficient conditions of dynamicity (or conditional Markovianity) and regularity, these leading to the properties of complete mixing (relaxation) and ergodicity of the QSP.

  12. Sea surface wave reconstruction from marine radar images

    E-Print Network [OSTI]

    Qi, Yusheng, S.M. Massachusetts Institute of Technology

    2012-01-01T23:59:59.000Z

    The X-band marine radar is one type of remote sensing technology which is being increasingly used to measure sea surface waves nowadays. In this thesis, how to reconstruct sea surface wave elevation maps from X-band marine ...

  13. PERFORMANCE OF NONLINEAR SPEECH ENHANCEMENT USING PHASE SPACE RECONSTRUCTION

    E-Print Network [OSTI]

    Povinelli, Richard J.

    PERFORMANCE OF NONLINEAR SPEECH ENHANCEMENT USING PHASE SPACE RECONSTRUCTION Michael T. Johnson enhancement methods. The proposed nonlinear methods are compared with traditional speech enhancement-Malah filtering, as had been suggested by previous studies. 1. INTRODUCTION Speech enhancement methods endeavor

  14. Energy reconstruction in the Long-Baseline Neutrino Experiment

    E-Print Network [OSTI]

    Ulrich Mosel; Olga Lalakulich; Kai Gallmeister

    2014-04-24T23:59:59.000Z

    The Long-Baseline Neutrino Experiment aims at measuring fundamental physical parameters to high precision and exploring physics beyond the standard model. Nuclear targets introduce complications towards that aim. We investigate the uncertainties in the energy reconstruction, based on quasielastic scattering relations, due to nuclear effects. The reconstructed event distributions as a function of energy tend to be smeared out and shifted by several 100 MeV in their oscillatory structure if standard event selection is used. We show that a more restrictive experimental event selection offers the possibility to reach the accuracy needed for a determination of the mass ordering and the $CP$-violating phase. Quasielastic-based energy reconstruction could thus be a viable alternative to the calorimetric reconstruction also at higher energies.

  15. Integrative approaches for systematic reconstruction of regulatory circuits in mammals

    E-Print Network [OSTI]

    Santos Botelho Oliveira Leite, Ana Paula

    2012-01-01T23:59:59.000Z

    The reconstruction of regulatory networks is one of the most challenging tasks in systems biology. Although some models for inferring regulatory networks can make useful predictions about the wiring and mechanisms of ...

  16. Deformable Surface 3D Reconstruction from Monocular Images

    E-Print Network [OSTI]

    Fua, Pascal

    virtually the same projection, such monocular shape recovery is inherently ambiguous. In this survey, we will review the two main classes of techniques that have proved most effective so far: The template Template-Based Reconstruction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 3

  17. Content-oriented 3D reconstruction from image streams

    E-Print Network [OSTI]

    Knoblauch, Daniel

    2011-01-01T23:59:59.000Z

    the automatisation of SaM from image sequences and videosby the input images to improve 3D reconstructions in SaMMo- tion (SaM). Structure and Motion from image sequences or

  18. Dynamic Computed Tomography, an algebraic reconstruction method with

    E-Print Network [OSTI]

    Promayon, Emmanuel

    Dynamic Computed Tomography, an algebraic reconstruction method with deformation compensation Sofia . . . . . . . . . . . . . . . . . . . . . . . . . . 7 1.2 Computed Tomography . . . . . . . . . . . . . . . . . . . . . . 8 1.3 Dynamic Computed . . . . . . . . . . . . . . . . . . . . . 9 2 Basic tools for Computed Tomography 10 2.1 The Radon Transform

  19. ab initio reconstruction: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 An ab initio approach to free-energy reconstruction using logarithmic mean force dynamics CERN Preprints Summary:...

  20. Harmonic Image Reconstruction Assisted by a Nonlinear Metmaterial Surface

    E-Print Network [OSTI]

    Wang, Zhiyu

    We experimentally demonstrate a microwave far-field image reconstruction modality with the transverse resolution exceeding the diffraction limit by using a single layer of highly nonlinear metamaterial. The harmonic fields ...

  1. CAT reconstruction and potting comparison of a LMFBR fuel bundle

    SciTech Connect (OSTI)

    Betten, P.R.; Tow, D.M.

    1984-04-01T23:59:59.000Z

    A standard Liquid Metal Fast Breeder Reactor (LMFBR) subassembly used in the Experimental Breeder Reactor II (EBR-II) was investigated, by remote techniques, for fuel bundle distortion by both nondestructive and destructive methods, and the results from both methods were compared. The non-destructive method employed neutron tomography to reconstruct the locations of fuel elements through the use of a maximum entropy reconstruction algorithm known as MENT. The destructive method consisted of ''potting'' (a technique that embeds and permanently fixes the fuel elements in a solid matrix) the subassembly, and then cutting and polishing the individual sections. The comparison indicated that the tomography reconstruction provided good results in describing the bundle geometry and spacer-wire locations, with the overall resolution being on the order of a spacer-wire diameter. A dimensional consistency check indicated that the element and spacer-wire dimensions were accurately reproduced in the reconstruction.

  2. Registration Using Projective Reconstruction for Augmented Reality Systems

    E-Print Network [OSTI]

    Yuan, M. L.

    In AR systems, registration is one of the most difficult problems currently limiting their applications. In this paper, we proposed a simple registration method using projective reconstruction. This method consists of two ...

  3. Some methods of estimating uncertainty in accident reconstruction

    E-Print Network [OSTI]

    Milan Batista

    2011-07-20T23:59:59.000Z

    In the paper four methods for estimating uncertainty in accident reconstruction are discussed: total differential method, extreme values method, Gauss statistical method, and Monte Carlo simulation method. The methods are described and the program solutions are given.

  4. Bone Surface Reconstruction From CT/MR Images Using Fast Marching and Level Set Methods1)

    E-Print Network [OSTI]

    Chetverikov, Dmitry

    Bone Surface Reconstruction From CT/MR Images Using Fast Marching and Level Set Methods1) Istv surfaces reconstructed from MR volumes are shown. 1 Outline of the project One of our current projects steps of bone surface reconstruction from CT/MR slice images. 2 Main steps of reconstruction 2.1

  5. 3D Object Digitization: Topology Preserving Reconstruction Peer Stelldinger

    E-Print Network [OSTI]

    Hamburg,.Universität

    for reconstructing the object from the set of included sampling points is the 3D generalization of #12;the 2D Gauss digitization (see [4]) which has been used by Gauss to compute the area of discs. 3 Digital Reconstruction of r-Regular Sets 1 2 3 4 5 6 7 8 9 10 11 12 13 14 8a 8b Figure 2. There are 14 different cases of canonical

  6. AIR: fused Analytical and Iterative Reconstruction method for computed tomography

    E-Print Network [OSTI]

    Yang, Liu; Qi, Sharon X; Gao, Hao

    2013-01-01T23:59:59.000Z

    Purpose: CT image reconstruction techniques have two major categories: analytical reconstruction (AR) method and iterative reconstruction (IR) method. AR reconstructs images through analytical formulas, such as filtered backprojection (FBP) in 2D and Feldkamp-Davis-Kress (FDK) method in 3D, which can be either mathematically exact or approximate. On the other hand, IR is often based on the discrete forward model of X-ray transform and formulated as a minimization problem with some appropriate image regularization method, so that the reconstructed image corresponds to the minimizer of the optimization problem. This work is to investigate the fused analytical and iterative reconstruction (AIR) method. Methods: Based on IR with L1-type image regularization, AIR is formulated with a AR-specific preconditioner in the data fidelity term, which results in the minimal change of the solution algorithm that replaces the adjoint X-ray transform by the filtered X-ray transform. As a proof-of-concept 2D example of AIR, FB...

  7. Journal of Applied Ecology 2006

    E-Print Network [OSTI]

    Thomas, Len

    Journal of Applied Ecology 2006 43, 377­384 © 2006 The Authors. Journal compilation © 2006 British Ecological Society Blackwell Publishing Ltd METHODOLOGICAL INSIGHTS Point transect sampling with traps, Etive House, Beechwood Park, Inverness IV2 3BW, UK Summary 1. The ability to monitor abundance of animal

  8. APPLIED MATHEMATICS AND SCIENTIFIC COMPUTING

    E-Print Network [OSTI]

    Rogina, Mladen

    APPLIED MATHEMATICS AND SCIENTIFIC COMPUTING Brijuni, Croatia June 23{27, 2003. y x Runge's example; Organized by: Department of Mathematics, Unversity of Zagreb, Croatia. Miljenko Maru#20;si#19;c, chairman;simir Veseli#19;c Andro Mikeli#19;c Sponsors: Ministry of Science and Technology, Croatia, CV Sistemi d

  9. Applied Sustainability Political Science 319

    E-Print Network [OSTI]

    Young, Paul Thomas

    1 Applied Sustainability Political Science 319 College of Charleston Spring 2013 Day/Time: TH 1 Address: fisherb@cofc.edu Office: 284 King Street, #206 (Office of Sustainability) Office Hours: by appt sustainability. It will focus on the development of semester-long sustainability projects, from conception

  10. California Energy Commission Apply Today!

    E-Print Network [OSTI]

    including HVAC and thermal energy storage system upgrades, stadium light conversion and a microturbineCalifornia Energy Commission Apply Today! "The College implemented all of the recommended projects Programs Office (916) 654-4147 pubprog@energy.state.ca.us "CEC financing allowed us to install many

  11. implementing bioenergy applied research & development

    E-Print Network [OSTI]

    Northern British Columbia, University of

    1 A Northern Centre for Renewable Energy implementing bioenergy applied research & development to develop local solutions to these challenges by integrating campus operations, education, and research will help the University meet its current and future energy needs, reduce or eliminate our greenhouse gas

  12. Bayesian reconstruction of the cosmological large-scale structure: methodology, inverse algorithms and numerical optimization

    E-Print Network [OSTI]

    F. S. Kitaura; T. A. Ensslin

    2009-11-06T23:59:59.000Z

    We address the inverse problem of cosmic large-scale structure reconstruction from a Bayesian perspective. For a linear data model, a number of known and novel reconstruction schemes, which differ in terms of the underlying signal prior, data likelihood, and numerical inverse extra-regularization schemes are derived and classified. The Bayesian methodology presented in this paper tries to unify and extend the following methods: Wiener-filtering, Tikhonov regularization, Ridge regression, Maximum Entropy, and inverse regularization techniques. The inverse techniques considered here are the asymptotic regularization, the Jacobi, Steepest Descent, Newton-Raphson, Landweber-Fridman, and both linear and non-linear Krylov methods based on Fletcher-Reeves, Polak-Ribiere, and Hestenes-Stiefel Conjugate Gradients. The structures of the up-to-date highest-performing algorithms are presented, based on an operator scheme, which permits one to exploit the power of fast Fourier transforms. Using such an implementation of the generalized Wiener-filter in the novel ARGO-software package, the different numerical schemes are benchmarked with 1-, 2-, and 3-dimensional problems including structured white and Poissonian noise, data windowing and blurring effects. A novel numerical Krylov scheme is shown to be superior in terms of performance and fidelity. These fast inverse methods ultimately will enable the application of sampling techniques to explore complex joint posterior distributions. We outline how the space of the dark-matter density field, the peculiar velocity field, and the power spectrum can jointly be investigated by a Gibbs-sampling process. Such a method can be applied for the redshift distortions correction of the observed galaxies and for time-reversal reconstructions of the initial density field.

  13. Tools for macromolecular model building and refinement into electron cryo-microscopy reconstructions

    SciTech Connect (OSTI)

    Brown, Alan; Long, Fei; Nicholls, Robert A.; Toots, Jaan; Emsley, Paul; Murshudov, Garib, E-mail: garib@mrc-lmb.cam.ac.uk [MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH (United Kingdom)

    2015-01-01T23:59:59.000Z

    A description is given of new tools to facilitate model building and refinement into electron cryo-microscopy reconstructions. The recent rapid development of single-particle electron cryo-microscopy (cryo-EM) now allows structures to be solved by this method at resolutions close to 3 Å. Here, a number of tools to facilitate the interpretation of EM reconstructions with stereochemically reasonable all-atom models are described. The BALBES database has been repurposed as a tool for identifying protein folds from density maps. Modifications to Coot, including new Jiggle Fit and morphing tools and improved handling of nucleic acids, enhance its functionality for interpreting EM maps. REFMAC has been modified for optimal fitting of atomic models into EM maps. As external structural information can enhance the reliability of the derived atomic models, stabilize refinement and reduce overfitting, ProSMART has been extended to generate interatomic distance restraints from nucleic acid reference structures, and a new tool, LIBG, has been developed to generate nucleic acid base-pair and parallel-plane restraints. Furthermore, restraint generation has been integrated with visualization and editing in Coot, and these restraints have been applied to both real-space refinement in Coot and reciprocal-space refinement in REFMAC.

  14. Reconstruction of an unknown cavity with Robin boundary condition inside a heat conductor

    E-Print Network [OSTI]

    Gen Nakamura; Haibing Wang

    2015-05-22T23:59:59.000Z

    Active thermography is a non-destructive testing technique to detect the internal structure of a heat conductor, which is widely applied in industrial engineering. In this paper, we consider the problem of identifying an unknown cavity with Robin boundary condition inside a heat conductor from boundary measurements. To set up the inverse problem mathematically, we first state the corresponding forward problem and show its well-posedness in an anisotropic Sobolev space by the integral equation method. Then, taking the Neumann-to-Dirichlet map as mathematically idealized measured data for the active thermography, we present a linear sampling method for reconstructing the unknown Robin-type cavity and give its mathematical justification by using the layer potential argument. In addition, we analyze the indicator function used in this method and show its pointwise asymptotic behavior by investigating the reflected solution of the fundamental solution. From our asymptotic analysis, we can establish a pointwise reconstruction scheme for the boundary of the cavity, and can also know the distance to the unknown cavity as we probe it from its inside.

  15. MODEL-FREE MULTI-PROBE LENSING RECONSTRUCTION OF CLUSTER MASS PROFILES

    SciTech Connect (OSTI)

    Umetsu, Keiichi [Institute of Astronomy and Astrophysics, Academia Sinica, P.O. Box 23-141, Taipei 10617, Taiwan (China)

    2013-05-20T23:59:59.000Z

    Lens magnification by galaxy clusters induces characteristic spatial variations in the number counts of background sources, amplifying their observed fluxes and expanding the area of sky, the net effect of which, known as magnification bias, depends on the intrinsic faint-end slope of the source luminosity function. The bias is strongly negative for red galaxies, dominated by the geometric area distortion, whereas it is mildly positive for blue galaxies, enhancing the blue counts toward the cluster center. We generalize the Bayesian approach of Umetsu et al. for reconstructing projected cluster mass profiles, by incorporating multiple populations of background sources for magnification-bias measurements and combining them with complementary lens-distortion measurements, effectively breaking the mass-sheet degeneracy and improving the statistical precision of cluster mass measurements. The approach can be further extended to include strong-lensing projected mass estimates, thus allowing for non-parametric absolute mass determinations in both the weak and strong regimes. We apply this method to our recent CLASH lensing measurements of MACS J1206.2-0847, and demonstrate how combining multi-probe lensing constraints can improve the reconstruction of cluster mass profiles. This method will also be useful for a stacked lensing analysis, combining all lensing-related effects in the cluster regime, for a definitive determination of the averaged mass profile.

  16. Applying to Teacher Education Program at Purdue

    E-Print Network [OSTI]

    David Drasin

    2012-12-02T23:59:59.000Z

    Apply to the Teacher Education Program (TEP). Please remember to apply to the TEP(Gate A) if you wish to officially enroll in the. Professional Education ...

  17. Applied Materials | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia: Energy Resources JumpAnaconda,Anza ElectricInc Jump to:Applied

  18. Bayesian field theoretic reconstruction of bond potential and bond mobility in single molecule force spectroscopy

    E-Print Network [OSTI]

    Chang, Joshua C; Chou, Tom

    2015-01-01T23:59:59.000Z

    Quantifying the forces between and within macromolecules is a necessary first step in understanding the mechanics of molecular structure, protein folding, and enzyme function and performance. In such macromolecular settings, dynamic single-molecule force spectroscopy (DFS) has been used to distort bonds. The resulting responses, in the form of rupture forces, work applied, and trajectories of displacements, have been used to reconstruct bond potentials. Such approaches often rely on simple parameterizations of one-dimensional bond potentials, assumptions on equilibrium starting states, and/or large amounts of trajectory data. Parametric approaches typically fail at inferring complex-shaped bond potentials with multiple minima, while piecewise estimation may not guarantee smooth results with the appropriate behavior at large distances. Existing techniques, particularly those based on work theorems, also do not address spatial variations in the diffusivity that may arise from spatially inhomogeneous coupling to...

  19. The VIMOS Public Extragalactic Redshift Survey (VIPERS): Reconstruction of the redshift-space galaxy density field

    E-Print Network [OSTI]

    Granett, B R; Guzzo, L; Abbas, U; Adami, C; Arnouts, S; Bel, J; Bolzonella, M; Bottini, D; Cappi, A; Coupon, J; Cucciati, O; Davidzon, I; De Lucia, G; de la Torre, S; Fritz, A; Franzetti, P; Fumana, M; Garilli, B; Ilbert, O; Iovino, A; Krywult, J; Brun, V Le; Fèvre, O Le; Maccagni, D; Ma?ek, K; Marulli, F; McCracken, H J; Polletta, M; Pollo, A; Scodeggio, M; Tasca, L A M; Tojeiro, R; Vergani, D; Zanichelli, A; Burden, A; Di Porto, C; Marchetti, A; Marinoni, C; Mellier, Y; Moutard, T; Moscardini, L; Nichol, R C; Peacock, J A; Percival, W J; Zamorani, G

    2015-01-01T23:59:59.000Z

    Aims. Using the VIMOS Public Extragalactic Redshift Survey (VIPERS) we aim to jointly estimate the key parameters that describe the galaxy density field and its spatial correlations in redshift space. Methods. We use the Bayesian formalism to jointly reconstruct the redshift-space galaxy density field, power spectrum, galaxy bias and galaxy luminosity function given the observations and survey selection function. The high-dimensional posterior distribution is explored using the Wiener filter within a Gibbs sampler. We validate the analysis using simulated catalogues and apply it to VIPERS data taking into consideration the inhomogeneous selection function. Results. We present joint constraints on the anisotropic power spectrum as well as the bias and number density of red and blue galaxy classes in luminosity and redshift bins as well as the measurement covariances of these quantities. We find that the inferred galaxy bias and number density parameters are strongly correlated although these are only weakly co...

  20. Liquid contact resonance atomic force microscopy via experimental reconstruction of the hydrodynamic function

    SciTech Connect (OSTI)

    Tung, Ryan C., E-mail: ryan.tung@nist.gov; Killgore, Jason P.; Hurley, Donna C. [National Institute of Standards and Technology, Boulder, Colorado 80305 (United States)

    2014-06-14T23:59:59.000Z

    We present a method to correct for surface-coupled inertial and viscous fluid loading forces in contact resonance (CR) atomic force microscopy (AFM) experiments performed in liquid. Based on analytical hydrodynamic theory, the method relies on experimental measurements of the AFM cantilever's free resonance peaks near the sample surface. The free resonance frequencies and quality factors in both air and liquid allow reconstruction of a continuous hydrodynamic function that can be used to adjust the CR data in liquid. Validation experiments utilizing thermally excited free and in-contact spectra were performed to assess the accuracy of our approach. Results show that the method recovers the air frequency values within approximately 6%. Knowledge of fluid loading forces allows current CR analysis techniques formulated for use in air and vacuum environments to be applied to liquid environments. Our technique greatly extends the range of measurement environments available to CR-AFM.

  1. An ab initio approach to free-energy reconstruction using logarithmic mean force dynamics

    SciTech Connect (OSTI)

    Nakamura, Makoto, E-mail: nakamura@cphys.s.kanazawa-u.ac.jp; Obata, Masao [Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa 920-1192 (Japan)] [Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa 920-1192 (Japan); Morishita, Tetsuya [Nanosystem Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-8568 (Japan)] [Nanosystem Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-8568 (Japan); Oda, Tatsuki, E-mail: oda@cphys.s.kanazawa-u.ac.jp [Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa 920-1192 (Japan) [Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa 920-1192 (Japan); Institute of Science and Engineering, Kanazawa University, Kanazawa 920-1192 (Japan)

    2014-05-14T23:59:59.000Z

    We present an ab initio approach for evaluating a free energy profile along a reaction coordinate by combining logarithmic mean force dynamics (LogMFD) and first-principles molecular dynamics. The mean force, which is the derivative of the free energy with respect to the reaction coordinate, is estimated using density functional theory (DFT) in the present approach, which is expected to provide an accurate free energy profile along the reaction coordinate. We apply this new method, first-principles LogMFD (FP-LogMFD), to a glycine dipeptide molecule and reconstruct one- and two-dimensional free energy profiles in the framework of DFT. The resultant free energy profile is compared with that obtained by the thermodynamic integration method and by the previous LogMFD calculation using an empirical force-field, showing that FP-LogMFD is a promising method to calculate free energy without empirical force-fields.

  2. The Optimization of ATLAS Track Reconstruction in Dense Environments

    E-Print Network [OSTI]

    The ATLAS collaboration

    2015-01-01T23:59:59.000Z

    This note presents recent changes in the ATLAS track reconstruction chain derived from detailed studies of track reconstruction in dense environments. The cores of high $p_{T}$ jets and $\\tau$-leptons are characterized by charged particle distances comparable to the inner detector sensor dimensions. The ambiguity processor stage of the reconstruction chain was over-halled including an improvement of the usage of a NN based approach to identify clusters created by multiple charge particles. Single particle samples are used to demonstrate the alteration in a simple environment. The impact of these changes on tracks in high $p_{T}$ jets are shown to result in more pixel hits on track, a more meaningful split hit definition, and improved track parameter estimation. A 10% increase in b-jet identification for an equal fake rate has been shown.

  3. 18th Annual International Conference of the IEEE Engineering in MIedicineand BiollogySociety, Amsterdam 1996 3.3.1: MR Imaging Systems and Reconstruction Techniques

    E-Print Network [OSTI]

    Ider, Yusuf Ziya

    Society, Amsterdam 1996 3.3.1: MR Imaging Systems and Reconstruction Techniques MEASURINGAC MAGNETIC FIELD is given in Fig.1. In the absence of an applied AC current, this pulse sequence is the same asthe one used by Maudsley A.A. et.al. to calculate the DC magnetic field inhomo se RP .,A_ II I f 0Gz I " v - who & - Fig.1

  4. An Event Reconstruction Method for the Telescope Array Fluorescence Detectors

    SciTech Connect (OSTI)

    Fujii, T.; Ogio, S.; Yamazaki, K. [Graduate Schiool of Science, Osaka City University, Sumiyoshi, Osaka 558-8585 (Japan); Fukushima, M.; Ikeda, D.; Sagawa, H.; Takahashi, Y.; Tameda, Y. [Institute of Cosmic Ray Research, University of Tokyo, Kashiwa, Chiba 277-8582 (Japan); Hayashi, K.; Ishimori, R.; Kobayashi, Y.; Tokuno, H.; Tsunesada, Y. [Graduate School of Science and Engineering, Tokyo Institute of Technology, Meguro, Tokyo 152-8551 (Japan); Honda, K.; Tomida, T. [Graduate School of Medicine and Engineering, University of Yamanashi, Kofu, Yamanashi 400-8511 (Japan); Udo, S. [Faculty of Engineering, Kanagawa University, Yokohama, Kanagawa 221-8686 (Japan)

    2011-09-22T23:59:59.000Z

    We measure arrival directions, energies and mass composition of ultra-high energy cosmic rays with air fluorescence detector telescopes. The longitudinal profile of the cosmic ray induced extensive air shower cascade is imaged on focal plane of the telescope camera. Here, we show an event reconstruction method to obtain the primary information from data collected by the Telescope Array Fluorescence Detectors. In particular, we report on an ''Inverse Monte Carlo (IMC)'' method in which the reconstruction process searches for an optimum solution via repeated Monte Carlo simulations including characteristics of all detectors, atmospheric conditions, photon emission and scattering processes.

  5. New designs in the reconstruction of coke-sorting systems

    SciTech Connect (OSTI)

    A.S. Larin; V.V. Demenko; V.L. Voitanik [Giprokoks, the State Institute for the Design of Coke-Industry Enterprises, Kharkov (Ukraine)

    2009-07-15T23:59:59.000Z

    In recent Giprokoks designs for the reconstruction of coke-sorting systems, high-productivity vibrational-inertial screens have been employed. This permits single-stage screening and reduction in capital and especially operating expenditures, without loss of coke quality. In two-stage screening, >80 mm coke (for foundry needs) is additionally separated, with significant improvement in quality of the metallurgical coke (25-80 mm). New designs for the reconstruction of coke-sorting systems employ mechanical treatment of the coke outside the furnace, which offers new scope for stabilization of coke quality and permits considerable improvement in mechanical strength and granulometric composition of the coke by mechanical crushing.

  6. Longitudinal Shower Profile Reconstruction from Fluorescence and Cherenkov Light

    E-Print Network [OSTI]

    M. Unger; R. Engel; F. Schüssler; R. Ulrich

    2007-06-11T23:59:59.000Z

    Traditionally, longitudinal shower profiles are reconstructed in fluorescence light experiments by treating the Cherenkov light contribution as background. Here we will argue that, due to universality of the energy spectra of electrons and positrons, both fluorescence and Cherenkov light can be used simultaneously as signal to infer the longitudinal shower development. We present a new profile reconstruction method that is based on the analytic least-square solution for the estimation of the shower profile from the observed light signal and discuss the extrapolation of the profile with a Gaisser-Hillas function.

  7. Evaluation of the spline reconstruction technique for PET

    SciTech Connect (OSTI)

    Kastis, George A., E-mail: gkastis@academyofathens.gr; Kyriakopoulou, Dimitra [Research Center of Mathematics, Academy of Athens, Athens 11527 (Greece)] [Research Center of Mathematics, Academy of Athens, Athens 11527 (Greece); Gaitanis, Anastasios [Biomedical Research Foundation of the Academy of Athens (BRFAA), Athens 11527 (Greece)] [Biomedical Research Foundation of the Academy of Athens (BRFAA), Athens 11527 (Greece); Fernández, Yolanda [Centre d’Imatge Molecular Experimental (CIME), CETIR-ERESA, Barcelona 08950 (Spain)] [Centre d’Imatge Molecular Experimental (CIME), CETIR-ERESA, Barcelona 08950 (Spain); Hutton, Brian F. [Institute of Nuclear Medicine, University College London, London NW1 2BU (United Kingdom)] [Institute of Nuclear Medicine, University College London, London NW1 2BU (United Kingdom); Fokas, Athanasios S. [Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge CB30WA (United Kingdom)] [Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge CB30WA (United Kingdom)

    2014-04-15T23:59:59.000Z

    Purpose: The spline reconstruction technique (SRT), based on the analytic formula for the inverse Radon transform, has been presented earlier in the literature. In this study, the authors present an improved formulation and numerical implementation of this algorithm and evaluate it in comparison to filtered backprojection (FBP). Methods: The SRT is based on the numerical evaluation of the Hilbert transform of the sinogram via an approximation in terms of “custom made” cubic splines. By restricting reconstruction only within object pixels and by utilizing certain mathematical symmetries, the authors achieve a reconstruction time comparable to that of FBP. The authors have implemented SRT in STIR and have evaluated this technique using simulated data from a clinical positron emission tomography (PET) system, as well as real data obtained from clinical and preclinical PET scanners. For the simulation studies, the authors have simulated sinograms of a point-source and three digital phantoms. Using these sinograms, the authors have created realizations of Poisson noise at five noise levels. In addition to visual comparisons of the reconstructed images, the authors have determined contrast and bias for different regions of the phantoms as a function of noise level. For the real-data studies, sinograms of an{sup 18}F-FDG injected mouse, a NEMA NU 4-2008 image quality phantom, and a Derenzo phantom have been acquired from a commercial PET system. The authors have determined: (a) coefficient of variations (COV) and contrast from the NEMA phantom, (b) contrast for the various sections of the Derenzo phantom, and (c) line profiles for the Derenzo phantom. Furthermore, the authors have acquired sinograms from a whole-body PET scan of an {sup 18}F-FDG injected cancer patient, using the GE Discovery ST PET/CT system. SRT and FBP reconstructions of the thorax have been visually evaluated. Results: The results indicate an improvement in FWHM and FWTM in both simulated and real point-source studies. In all simulated phantoms, the SRT exhibits higher contrast and lower bias than FBP at all noise levels, by increasing the COV in the reconstructed images. Finally, in real studies, whereas the contrast of the cold chambers are similar for both algorithms, the SRT reconstructed images of the NEMA phantom exhibit slightly higher COV values than those of FBP. In the Derenzo phantom, SRT resolves the 2-mm separated holes slightly better than FBP. The small-animal and human reconstructions via SRT exhibit slightly higher resolution and contrast than the FBP reconstructions. Conclusions: The SRT provides images of higher resolution, higher contrast, and lower bias than FBP, by increasing slightly the noise in the reconstructed images. Furthermore, it eliminates streak artifacts outside the object boundary. Unlike other analytic algorithms, the reconstruction time of SRT is comparable with that of FBP. The source code for SRT will become available in a future release of STIR.

  8. CX-012313: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Chicago Office Technical Support Services Contract CX(s) Applied: A8 Date: 06/13/2014 Location(s): CX: none Offices(s): Chicago Office

  9. CX-007858: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Southwest Solar Transformation Initiative CX(s) Applied: A9, A11 Date: 01/27/2012 Location(s): California Offices(s): Golden Field Office

  10. CX-010367: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Asbestos Abatement Actions CX(s) Applied: B1.16 Date: 11/19/2012 Location(s): Tennessee, California, Virginia Offices(s): Berkeley Site Office

  11. CX-010258: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Bangladesh Meteorological Instrumentation Installation CX(s) Applied: A9 Date: 04/26/2013 Location(s): Colorado Offices(s): Golden Field Office

  12. CX-012632: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    LURR 20140456 - Salmon Creek Avenue Pathway Project CX(s) Applied: B4.9Date: 41885 Location(s): WashingtonOffices(s): Bonneville Power Administration

  13. CX-001373: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Analytical Development Tritium Support Laboratory for Mass Spectroscopy, Infrared Spectroscopy, and Raman CX(s) Applied: B3.6 Date: 03102010 Location(s): Aiken,...

  14. CX-004196: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    6: Categorical Exclusion Determination CX-004196: Categorical Exclusion Determination Infrared and Raman Spectroscopy of Biological Safety Level-1 Biological Samples CX(s) Applied:...

  15. CX-000331: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-000331: Categorical Exclusion Determination Kentucky Revision 2 - Commercial Office Building Retrofit Showcase CX(s) Applied: B1.4, B1.5,...

  16. CX-003518: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-003518: Categorical Exclusion Determination Energy from Biomass Research and Technology Transfer Program CX(s) Applied: B3.6 Date: 08232010...

  17. CX-012089: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    CX-012089: Categorical Exclusion Determination Wood Pole Testing for 20 Transmission Lines in Southern Arizona and Southern California CX(s) Applied: B3.1 Date: 04172014...

  18. CX-000815: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    0815: Categorical Exclusion Determination CX-000815: Categorical Exclusion Determination Hydrogen Technology Laboratory 140 - Chromatography, Wet Laboratory CX(s) Applied: B3.6...

  19. CX-009005: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Henderson Solar Energy Project CX(s) Applied: B5.16 Date: 08/22/2012 Location(s): Nevada Offices(s): Golden Field Office

  20. CX-011116: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sunpath SANFAB CX(s) Applied: B5.16 Date: 08/09/2013 Location(s): Nevada Offices(s): Golden Field Office

  1. CX-012474: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Refractories/Ceramics Project CX(s) Applied: B3.6Date: 41870 Location(s): OregonOffices(s): National Energy Technology Laboratory

  2. CX-005151: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-005151: Categorical Exclusion Determination United States-China Advanced Coal Technologies Consortium - University of Wyoming CX(s) Applied: A9, A11...

  3. CX-005154: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-005154: Categorical Exclusion Determination United States-China Advanced Coal Technologies Consortium - University of Kentucky CX(s) Applied: A9, A11,...

  4. CX-005159: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-005159: Categorical Exclusion Determination United States-China Advanced Coal Technologies Consortium - Indiana Geological Survey CX(s) Applied: A9,...

  5. CX-008691: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mason Substation Metering Replacement Project CX(s) Applied: B1.7 Date: 06/25/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  6. CX-011237: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Lightspeed Networks Inc. Fiber Installation CX(s) Applied: B4.9 Date: 10/24/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  7. CX-006471: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    CX-006471: Categorical Exclusion Determination Air Awareness Campaign Electric Car Charging Station CX(s) Applied: B5.1 Date: 08042011 Location(s): Greenville, South...

  8. CX-000903: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    903: Categorical Exclusion Determination CX-000903: Categorical Exclusion Determination Smart Grid Photovoltaic Pilot CX(s) Applied: B5.1 Date: 02242010 Location(s): Illinois...

  9. CX-012015: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Exclusion Determination CX-012015: Categorical Exclusion Determination Enhanced Wind Resource Assessment with Sonic Ranging and Detection at Tooele Army Depot CX(s) Applied:...

  10. CX-012110: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Categorical Exclusion Determination Defense Logistics Agency, Tracy, California, Wind Resource Assessment CX(s) Applied: A9, B3.1 Date: 05072014 Location(s): California...

  11. CX-002753: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-002753: Categorical Exclusion Determination Gilt Edge Mine Wind Resource Assessment CX(s) Applied: B3.1 Date: 06212010 Location(s): Deadwood, South...

  12. CX-002823: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    CX-002823: Categorical Exclusion Determination Nebraska College of Technical Agriculture Biomass Facility CX(s) Applied: B5.1 Date: 06242010 Location(s): Curtis, Nebraska...

  13. CX-006074: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Exclusion Determination CX-006074: Categorical Exclusion Determination Bay Area Photovoltaics Consortium, Photovoltaic Manufacturing Initiative CX(s) Applied: A9 Date: 0628...

  14. CX-007549: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Harrisonville - Waste Water Treatment Plant CX(s) Applied: B5.1 Date: 01/10/2012 Location(s): Missouri Offices(s): Golden Field Office

  15. CX-007571: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pulaski County - Wastewater CX(s) Applied: B5.1 Date: 12/29/2011 Location(s): Missouri Offices(s): Golden Field Office

  16. CX-008797: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Coal Pile Basin Project CX(s) Applied: B1.29 Date: 06/04/2012 Location(s): Tennessee Offices(s): Y-12 Site Office

  17. CX-010590: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Kalispell Shunt Cap Addition Project CX(s) Applied: B4.11 Date: 07/01/2013 Location(s): Montana Offices(s): Bonneville Power Administration

  18. CX-008234: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Whole Energy Glycerin Refinery CX(s) Applied: B5.15 Date: 04/20/2012 Location(s): Washington Offices(s): Golden Field Office

  19. CX-011564: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Excess Facilities Deactivation and Demolition CX(s) Applied: B1.23 Date: 11/05/2013 Location(s): Idaho Offices(s): Idaho Operations Office

  20. CX-012724: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Advanced Test Reactor (ATR) Electronic Message Board Installation CX(s) Applied: B1.7Date: 41830 Location(s): IdahoOffices(s): Nuclear Energy

  1. CX-002964: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-002964: Categorical Exclusion Determination Wind Energy and Sustainable Energy Solutions CX(s) Applied: B3.11, A9 Date: 07092010...

  2. CX-005201: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-005201: Categorical Exclusion Determination Tall Tower Wind Energy Monitoring and Numerical Model Validation in Southern Nevada CX(s) Applied: A9,...

  3. CX-003507: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination State Energy Program American Recovery and Reinvestment Act: Solar Power Incorporated Photovoltaic Panel Manufacturing Facility CX(s) Applied: B1.31,...

  4. CX-012810: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    St. Johns-Keeler Minor Access Road Improvement CX(s) Applied: B1.3Date: 41901 Location(s): OregonOffices(s): Bonneville Power Administration

  5. CX-011368: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    High Temperature Thermal Properties CX(s) Applied: B1.31 Date: 10/23/2013 Location(s): Idaho Offices(s): Idaho Operations Office

  6. CX-011798: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Analytical Physics - Thermal Analysis CX(s) Applied: B3.6 Date: 01/30/2014 Location(s): Oregon Offices(s): National Energy Technology Laboratory

  7. CX-001724: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    CX-001724: Categorical Exclusion Determination Recovery Act City of Boise Energy Efficiency and Conservation Block Grant (EECBG) CX(s) Applied: B5.1 Date: 04122010...

  8. Categorical Exclusion Determinations: Western Area PowerAdministratio...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Center October 26, 2009 CX-005544: Categorical Exclusion Determination Power Rate Formula for the Provo River Project of the Western Area Power Administration CX(s) Applied:...

  9. CX-012706: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Radiochemistry Laboratory (RCL) Supply Intake Filter Housing CX(s) Applied: B2.5Date: 41858 Location(s): IdahoOffices(s): Nuclear Energy

  10. CX-008684: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Metaline Radio Station Upgrade Project CX(s) Applied: B1.19 Date: 07/11/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  11. CX-009465: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination Temporal Characterization of Hydrates System Dynamics Beneath Seafloor Mounds: Integrating Time-Lapse CX(s) Applied: B3.6 Date: 10182012...

  12. CX-009462: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination Temporal Characterization of Hydrates System Dynamics Beneath Seafloor Mounds: Integrating Time-Lapse CX(s) Applied: A9, A11 Date: 1018...

  13. CX-011295: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-011295: Categorical Exclusion Determination Material Dynamics and Kinetics Lab CX(s) Applied: B3.6 Date: 10172013 Location(s): Pennsylvania...

  14. CX-009463: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination Temporal Characterization of Hydrates System Dynamics Beneath Seafloor Mounds: Integrating Time-Lapse CX(s) Applied: B3.6 Date: 10182012...

  15. CX-009464: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination Temporal Characterization of Hydrates System Dynamics beneath Seafloor Mounds: Integrating Time-Lapse CX(s) Applied: A9, A11 Date: 1018...

  16. CX-012776: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Catalyst Processing, KCP14-05 CX(s) Applied: NOT NOTEDDate: 41857 Location(s): MissouriOffices(s): Kansas City Site Office

  17. CX-008215: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Small Hydropower Research and Development Technology Project CX(s) Applied: A9 Date: 04/03/2012 Location(s): Colorado Offices(s): Golden Field Office

  18. CX-011535: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    East Grangeville Substation Sale CX(s) Applied: B1.24 Date: 11/14/2013 Location(s): Idaho Offices(s): Bonneville Power Administration

  19. CX-012233: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Shed Acquisition at Kalispell Substation CX(s) Applied: B1.24 Date: 06/09/2014 Location(s): Montana Offices(s): Bonneville Power Administration

  20. CX-012622: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Replace roofing system at 702-F CX(s) Applied: B1.3Date: 41799 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  1. CX-012621: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Replace 730-2B Roof CX(s) Applied: B1.3Date: 41799 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  2. CX-012433: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Computer Simulation and Prototype Construction and Testing CX(s) Applied: A9Date: 41878 Location(s): GeorgiaOffices(s): National Energy Technology Laboratory

  3. CX-010689: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Generic CX Determination for Financial Assistance Awards CX(s) Applied: Unknown Date: 07/17/2013 Location(s): Illinois Offices(s): Chicago Office

  4. Categorical Exclusion (CX) Determinations By Date | Department...

    Office of Environmental Management (EM)

    (CX) Determinations By Date Categorical Exclusion (CX) Determinations By Date August 25, 2015 CX-012469: Categorical Exclusion Determination Gas Analysis Services CX(s) Applied:...

  5. CX-010869: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Nauticas Research Program CX(s) Applied: B3.6 Date: 08/07/2013 Location(s): Illinois Offices(s): Argonne Site Office

  6. CX-012664: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    SBIR/STTR Phase 0 Outreach and Assistance Program CX(s) Applied: A8Date: 41844 Location(s): IllinoisOffices(s): Chicago Office

  7. CX-010581: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Little Shell Property Funding CX(s) Applied: B1.25 Date: 07/16/2013 Location(s): Montana Offices(s): Bonneville Power Administration

  8. CX-011252: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Exclusion Determination CX-011252: Categorical Exclusion Determination Concentrating Solar Power Heat Integration for Baseload Renewable Energy Deployment CX(s) Applied: A9...

  9. CX-004374: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    74: Categorical Exclusion Determination CX-004374: Categorical Exclusion Determination Solar Electric Power for Nonsectarian Educational and Social CX(s) Applied: A9, B5.1 Date:...

  10. CX-011391: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Exclusion Determination CX-011391: Categorical Exclusion Determination Municipal Complex Solar Power Project CX(s) Applied: B3.14 Date: 12102013 Location(s): New Jersey...

  11. CX-008507: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-008507: Categorical Exclusion Determination Midwest Regional Carbon Sequestration Partnership - Phase Three CX(s) Applied: B3.1, B5.3 Date: 07162012...

  12. CX-007111: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-007111: Categorical Exclusion Determination Shallow Carbon Sequestration Demonstration Project (Iatan Generating Station) CX(s) Applied: B3.1...

  13. CX-008476: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    CX-008476: Categorical Exclusion Determination Small Scale Field Test Demonstrating Carbon Dioxide Sequestration in the Arbuckle Saline Aquifer CX(s) Applied: A9, B1.15,...

  14. CX-007118: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-007118: Categorical Exclusion Determination Shallow Carbon Sequestration Demonstration Project CX(s) Applied: B3.1 Date: 10042011...

  15. CX-009326: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-009326: Categorical Exclusion Determination Midwest Regional Carbon Sequestration Partnership - Subtask 1.7 CX(s) Applied: B3.1 Date: 09282012...

  16. CX-000591: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination 25A2936 - Carbon Nanotube Membranes for Energy-Efficient Carbon Sequestration CX(s) Applied: B3.6 Date: 12152009 Location(s): California...

  17. CX-003037: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-003037: Categorical Exclusion Determination Mercury Removal from Clean Coal Processing Air Stream CX(s) Applied: B3.6 Date: 07132010 Location(s): Butte,...

  18. CX-011165: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Heavy Mineral Separation CX(s) Applied: B3.6 Date: 08/07/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office

  19. CX-012716: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    General Scientific Infrastructure Support for University of Wisconsin CX(s) Applied: B1.31Date: 41844 Location(s): WisconsinOffices(s): Nuclear Energy

  20. CX-011115: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Realization of Algae Potential CX(s) Applied: A9 Date: 08/29/2013 Location(s): New Mexico Offices(s): Golden Field Office

  1. CX-007844: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energy Retrofits CX(s) Applied: B5.1 Date: 12/01/2011 Location(s): Rhode Island Offices(s): Energy Efficiency and Renewable Energy

  2. CX-007689: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Tech Research Corporation- Prosumer-Based Distributed Autonomous Cyber-Physical Architecture for Ultra-Reliable Green Electricity Internetworks CX(s) Applied: A9 Date: 1118...

  3. CX-000734: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    CX-000734: Categorical Exclusion Determination Detection and Production of Methane Hydrates CX(s) Applied: A9 Date: 01222010 Location(s): Stillwater, Oklahoma Office(s):...

  4. CX-000733: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    CX-000733: Categorical Exclusion Determination Detection and Production of Methane Hydrates CX(s) Applied: A9 Date: 01222010 Location(s): Austin, Texas Office(s): Fossil...

  5. CX-010941: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    CX-010941: Categorical Exclusion Determination Assessing the Response of Methane Hydrates to Environmental Change at the Svalbard Continental Margin CX(s) Applied: B3.6,...

  6. CX-007388: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Exclusion Determination CX-007388: Categorical Exclusion Determination Regional Test Center Project: Solar Technology Acceleration Center (SolarTAC) CX(s) Applied: B1.15,...

  7. CX-012245: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    5: Categorical Exclusion Determination CX-012245: Categorical Exclusion Determination Hydro Research Foundation University Research Awards - Carnegie Mellon CX(s) Applied: A9 Date:...

  8. CX-012253: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    3: Categorical Exclusion Determination CX-012253: Categorical Exclusion Determination Hydro Research Foundation University Research Awards - OSU CX(s) Applied: A9 Date: 05272014...

  9. CX-012252: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    2: Categorical Exclusion Determination CX-012252: Categorical Exclusion Determination Hydro Research Foundation University Research Awards- Cornell CX(s) Applied: A9, B3.16 Date:...

  10. CX-012254: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    4: Categorical Exclusion Determination CX-012254: Categorical Exclusion Determination Hydro Research Foundation University Research Awards - Vanderbilt CX(s) Applied: A9 Date: 05...

  11. CX-003904: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    904: Categorical Exclusion Determination CX-003904: Categorical Exclusion Determination Hydro Electric Project - Snohomish Public Utility District CX(s) Applied: A9, A11, B5.1...

  12. CX-012246: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    6: Categorical Exclusion Determination CX-012246: Categorical Exclusion Determination Hydro Research Foundation University Research Awards - University of Tennessee CX(s) Applied:...

  13. CX-012241: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    1: Categorical Exclusion Determination CX-012241: Categorical Exclusion Determination Hydro Research Foundation University Research Awards - MIT CX(s) Applied: A9, B3.6 Date: 06...

  14. CX-011534: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Grays River Confluence Property Funding CX(s) Applied: B1.25 Date: 11/08/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  15. CX-012434: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Low Cost Titanium Casting Technology CX(s) Applied: B3.6Date: 41878 Location(s): OhioOffices(s): National Energy Technology Laboratory

  16. CX-009542: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Solar Parks Project CX(s) Applied: B5.16 Date: 11/09/2012 Location(s): Florida Offices(s): Golden Field Office

  17. CX-003403: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    CX-003403: Categorical Exclusion Determination The Snake River Geothermal Drilling Project - Innovative Approaches to Geothermal Exploration CX(s) Applied: A9, B3.7...

  18. CX-002745: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    CX-002745: Categorical Exclusion Determination The Snake River Geothermal Drilling Project - Innovative Approaches to Geothermal Exploration CX(s) Applied: B3.1, A9...

  19. CX-006681: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-006681: Categorical Exclusion Determination New Drilling Location in Section 29 CX(s) Applied: B3.1 Date: 12232009 Location(s): Casper,...

  20. CX-006682: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-006682: Categorical Exclusion Determination New Drilling Location in Section 29 (Revision 1) CX(s) Applied: B3.7 Date: 06022010 Location(s):...

  1. CX-008486: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    CX-008486: Categorical Exclusion Determination Demonstration of Gas Powered Drilling Operations for Economically-Challenged Wellhead Gas and Evaluation CX(s) Applied:...

  2. CX-007941: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination Zonal Isolation Improvement for Horizontal Wells Drilling in the Marcellus Shale CX(s) Applied: A9 Date: 02152012 Location(s): Texas...

  3. CX-003888: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-003888: Categorical Exclusion Determination Improved Drilling and Fracturing Fluids for Shale Gas Reservoirs CX(s) Applied: B3.6 Date: 09102010...

  4. CX-007940: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination Zonal Isolation Improvement for Horizontal Wells Drilling in the Marcellus Shale CX(s) Applied: B3.6 Date: 02152012 Location(s): Texas...

  5. CX-005582: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination Foro Energy, Incorporated - Low-Contact Drilling Technology to Enable Economical Enhance Geothermal System Wells CX(s) Applied: B3.6,...

  6. CX-000855: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-000855: Categorical Exclusion Determination 25A5208 - Low-contact Drilling Technology to Enable Economical Engineered Geothermal System Wells CX(s) Applied:...

  7. CX-008876: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Railroad Island Property Funding CX(s) Applied: B1.25 Date: 08/23/2012 Location(s): Oregon Offices(s): Bonneville Power Administration

  8. CX-011239: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Security Upgrades at Multiple Substations CX(s) Applied: ? Date: 10/02/2013 Location(s): Oregon, Washington Offices(s): Bonneville Power Administration

  9. CX-010739: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Golden State Solar Impact CX(s) Applied: A9, A11 Date: 08/15/2013 Location(s): California Offices(s): Golden Field Office

  10. CX-011044: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    CX-011044: Categorical Exclusion Determination High Hydrogen, Low Methane Syngas from Low Ranked Coals for Coal-to-Liquids Production CX(s) Applied: A9 Date: 0910...

  11. CX-010751: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Solar Ready 2 CX(s) Applied: A9, A11 Date: 08/15/2013 Location(s): Missouri Offices(s): Golden Field Office

  12. CX-004015: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Exclusion Determination CX-004015: Categorical Exclusion Determination Arizona Balance of State- Energy Efficiency and Conservation Block Grant Wickenburg CX(s) Applied:...

  13. CX-009555: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-009555: Categorical Exclusion Determination Assisting the Tooling and Machining Industry to Become Energy Efficient CX(s) Applied: A9 Date: 12102012...

  14. CX-000835: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-000835: Categorical Exclusion Determination Wachs Cutter Tooling Station (4495) CX(s) Applied: B1.31 Date: 02112010 Location(s): Oak Ridge,...

  15. CX-012310: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sawmill Creek Stream Bank Erosion CX(s) Applied: B1.3 Date: 06/06/2014 Location(s): Illinois Offices(s): Argonne Site Office

  16. CX-010338: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Eugene Substation Fiber Interconnection CX(s) Applied: B4.7 Date: 05/21/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  17. CX-011531: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Targhee Substation Land Acquisition CX(s) Applied: B1.24 Date: 11/05/2013 Location(s): Idaho Offices(s): Bonneville Power Administration

  18. CX-010435: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    De Moss Substation Expansion CX(s) Applied: B4.6 Date: 06/03/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  19. CX-011384: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Categorical Exclusion Determination Advanced Controls for the Multi-pod Centipod Wave Energy Converter Device CX(s) Applied: A9 Date: 12022013 Location(s): California...

  20. CX-011537: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Wanacut Creek Upper Property Funding CX(s) Applied: B1.25 Date: 11/26/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  1. CX-011538: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Ninemile Creek Lower Property Funding CX(s) Applied: B1.25 Date: 11/26/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  2. CX-011536: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Aeneans Creek Spring Property Funding CX(s) Applied: B1.25 Date: 11/25/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  3. CX-011416: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Technology Integration Program CX(s) Applied: A9, A11 Date: 12/19/2013 Location(s): Ohio Offices(s): National Energy Technology Laboratory

  4. CX-010778: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Technology Integration Program CX(s) Applied: A9, A11 Date: 08/23/2013 Location(s): Oklahoma Offices(s): National Energy Technology Laboratory

  5. CX-012472: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Technology Integration Program CX(s) Applied: A9, A11, B3.11Date: 41873 Location(s): OhioOffices(s): National Energy Technology Laboratory

  6. CX-012038: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Deepwater Reverse-Circulation Primary Cementing CX(s) Applied: A9 Date: 04/17/2014 Location(s): Texas Offices(s): National Energy Technology Laboratory

  7. CX-010582: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Spring Creek Property Funding CX(s) Applied: B1.25 Date: 07/16/2013 Location(s): Montana Offices(s): Bonneville Power Administration

  8. CX-003706: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination Development and Demonstration of an Innovative Thermal Energy Storage System for Baseload Solar Power Generation CX(s) Applied: A9, B3.6...

  9. CX-004217: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Replacement Facets for Central Receiver Test Facility Heliostats at the National Solar Thermal Test Facility (American Recovery and Reinvestment Act Funded) CX(s) Applied:...

  10. CX-003222: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    and Reinvestment Act State Energy Program - Eastern Oregon Correctional Institution Solar Thermal CX(s) Applied: B5.1 Date: 08032010 Location(s): Pendleton, Oregon...

  11. CX-004251: Categorical Exclusion Determination | Department of...

    Energy Savers [EERE]

    CX-004251: Categorical Exclusion Determination High Yield Hybrid Cellulosic Ethanol Process Using High-Impact Feedstock for Commercialization by 2013 CX(s) Applied: A9,...

  12. CX-003208: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-003208: Categorical Exclusion Determination Michigan 85% Ethanol Fuel (E85) Infrastructure Project CX(s) Applied: B5.1 Date: 08032010 Location(s):...

  13. CX-003471: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-003471: Categorical Exclusion Determination Pennsylvania Ethanol Fuel (E85) Corridor Project - Lew's Service Center CX(s) Applied: B5.1 Date: 0823...

  14. CX-011215: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Nepese Marsh Upgrades CX(s) Applied: B2.5 Date: 10/17/2013 Location(s): Illinois Offices(s): Fermi Site Office

  15. CX-008534: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Peter Wentz Geothermal CX(s) Applied: B5.19 Date: 05/23/2012 Location(s): Pennsylvania Offices(s): Golden Field Office

  16. CX-008204: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Finch CX(s) Applied: B5.19 Date: 03/23/2012 Location(s): Missouri Offices(s): Golden Field Office

  17. CX-008203: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Demoret CX(s) Applied: B5.19 Date: 03/23/2012 Location(s): Missouri Offices(s): Golden Field Office

  18. CX-009442: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Cutters Grove, Anoka CX(s) Applied: A9, B5.19 Date: 07/31/2012 Location(s): Minnesota Offices(s): Golden Field Office

  19. CX-007836: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Building Retrofits CX(s) Applied: B5.19 Date: 01/30/2012 Location(s): Illinois Offices(s): Energy Efficiency and Renewable Energy

  20. CX-008241: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Teter CX(s) Applied: B5.19 Date: 05/15/2012 Location(s): Missouri Offices(s): Golden Field Office

  1. CX-008205: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Weaver CX(s) Applied: B5.19 Date: 03/23/2012 Location(s): Missouri Offices(s): Golden Field Office

  2. CX-010583: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Upper Jocko River Property Funding CX(s) Applied: B1.25 Date: 07/16/2013 Location(s): Montana Offices(s): Bonneville Power Administration

  3. CX-007925: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-007925: Categorical Exclusion Determination Severe Environment Corrosion and Erosion Research Facility CX(s) Applied: B3.6 Date: 02222012 Location(s):...

  4. CX-006048: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-006048: Categorical Exclusion Determination Severe Environmental Corrosion & Erosion Research Facility (SECERF) CX(s) Applied: B3.6 Date: 06082011...

  5. CX-006395: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-006395: Categorical Exclusion Determination Corrosion Tests on Carbon Steel Exposed to Oxalic Acid and a Sludge Simulant CX(s) Applied:...

  6. CX-005801: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-005801: Categorical Exclusion Determination Polymer Synthesis, Corrosion, and Electrochemical Tests in Lab D-0115 CX(s) Applied: B3.6 Date: 03312011...

  7. CX-006043: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-006043: Categorical Exclusion Determination CorrosionElectrochemistry Laboratory CX(s) Applied: B3.6 Date: 06082011 Location(s):...

  8. CX-005861: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-005861: Categorical Exclusion Determination Pretreatment Engineering Platform (PEP) Sludge Simulant Preparation CX(s) Applied: B3.6 Date: 03172011...

  9. CX-011131: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Puget Sound Pilot Tidal Energy Project CX(s) Applied: A9 Date: 08/13/2013 Location(s): Washington Offices(s): Golden Field Office

  10. CX-012195: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Alfalfa Substation Control House Replacement CX(s) Applied: B4.11 Date: 05/02/2014 Location(s): Washington Offices(s): Bonneville Power Administration

  11. CX-008683: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Shaniko Radio Station Replacement Project CX(s) Applied: B1.19 Date: 07/11/2012 Location(s): Oregon Offices(s): Bonneville Power Administration

  12. CX-012790: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Haystack Butte Radio Site Land Acquisition CX(s) Applied: B1.24Date: 41939 Location(s): WashingtonOffices(s): Bonneville Power Administration

  13. CX-009698: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sale of Lakeside Radio Station CX(s) Applied: B1.24 Date: 12/27/2012 Location(s): Oregon Offices(s): Bonneville Power Administration

  14. CX-012231: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mica Peak Radio Station upgrade CX(s) Applied: B1.19 Date: 06/09/2014 Location(s): Washington Offices(s): Bonneville Power Administration

  15. CX-011190: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Alberton Communication Site Construction CX(s) Applied: B1.19 Date: 08/26/2013 Location(s): Montana Offices(s): Bonneville Power Administration

  16. CX-002138: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-002138: Categorical Exclusion Determination Waste Digester Biogas Recovery System CX(s) Applied: B5.1 Date: 04292010 Location(s): Plover, Wisconsin...

  17. CX-005444: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination Energy Efficiency and Conservation Block Grant: Electric and Hybrid Vehicle Incremental Cost Recovery CX(s) Applied: B5.1 Date: 03222011 Location(s):...

  18. CX-012189: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Microbial Laboratory Analysis CX(s) Applied: B3.12 Date: 05/06/2014 Location(s): Illinois Offices(s): Argonne Site Office

  19. CX-009423: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Relay and Switchboard Panel Replacements CX(s) Applied: B4.6 Date: 10/29/2012 Location(s): Arkansas Offices(s): Southwestern Power Administration

  20. CX-010057: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Eugene Substation Protective Relay Installation CX(s) Applied: B1.7 Date: 01/29/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  1. CX-008803: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Milling Machine Replacement Projects CX(s) Applied: B1.31 Date: 05/14/2012 Location(s): Tennessee Offices(s): Y-12 Site Office

  2. CX-011194: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Particle Physics Division Outback Garage CX(s) Applied: B1.15 Date: 09/19/2013 Location(s): Illinois Offices(s): Fermi Site Office

  3. CX-010772: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Water Security Test Bed (WSTB) CX(s) Applied: B3.6 Date: 07/17/2013 Location(s): Idaho Offices(s): Nuclear Energy

  4. CX-011679: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Antifoam Degradation Testing CX(s) Applied: B3.6 Date: 12/05/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office

  5. CX-012118: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Hydro Research Foundation University Research Awards - Tufts CX(s) Applied: A9 Date: 05/21/2014 Location(s): Georgia Offices(s): Golden Field Office

  6. CX-012255: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Exclusion Determination Hydro Research Foundation University Research Awards - University of Washington CX(s) Applied: A9 Date: 05272014 Location(s): Washington...

  7. CX-010951: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Automotive Technology Analysis CX(s) Applied: A8 Date: 09/17/2013 Location(s): Virginia Offices(s): National Energy Technology Laboratory

  8. CX-001416: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Exclusion Determination CX-001416: Categorical Exclusion Determination Integration of Solar Energy in the City of Boston's Emergency Preparedness Infrastructure CX(s) Applied:...

  9. CX-003569: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Determination Ohio Advanced Transportation Partnership - Pike Delta York Schools Propane Vehicle Fueling Station CX(s) Applied: B5.1 Date: 08242010 Location(s): Delta, Ohio...

  10. CX-006894: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Exclusion Determination Ohio Advanced Transportation PartnershipFrito Lay Cincinnati Propane Fueling Infrastructure CX(s) Applied: B5.1 Date: 09282011 Location(s): West...

  11. CX-009634: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    Exclusion Determination CX-009634: Categorical Exclusion Determination Advanced Test Reactor (ATR) Transition to Commercial Power CX(s) Applied: B2.5 Date: 12052012...

  12. CX-007358: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination Integration of the University of Oregon's Cogeneration Project CX(s) Applied: B1.7 Date: 12012011 Location(s): Oregon Offices(s):...

  13. CX-012200: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Determination of Excess Real Property CX(s) Applied: B1.36 Date: 05/01/2014 Location(s): Colorado Offices(s): Legacy Management

  14. CX-010588: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Chehalis Substation Tree Clearing CX(s) Applied: B1.3 Date: 07/02/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  15. CX-008700: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Natapoc Property Funding CX(s) Applied: B1.25 Date: 06/12/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  16. CX-010155: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Augspurger Radio Tower Replacement Project CX(s) Applied: B1.19 Date: 04/03/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  17. CX-007866: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    SunShot Massachusetts CX(s) Applied: A9, A11 Date: 01/27/2012 Location(s): Massachusetts Offices(s): Golden Field Office

  18. CX-007856: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sacramento Regional Energy Alliance CX(s) Applied: B5.23 Date: 01/27/2012 Location(s): California Offices(s): Golden Field Office

  19. CX-004629: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Determination CX-004629: Categorical Exclusion Determination Seneca Nation of New York Energy Efficiency and Conservation Strategies CX(s) Applied: A1, A9, A11 Date: 1026...

  20. CX-005672: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Categorical Exclusion Determination Energy Systems Integration Facility Excavation Soil Stockpile CX(s) Applied: B1.15 Date: 04122011 Location(s): Golden, Colorado...

  1. CX-008264: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Compressed Natural Gas Fueling Facility CX(s) Applied: A1 Date: 05/24/2012 Location(s): Missouri Offices(s): National Energy Technology Laboratory

  2. CX-005249: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Wisconsin Clean Transportation Program - City of Milwaukee Ruby Avenue Compressed Natural Gas Infrastructure CX(s) Applied: B5.1 Date: 02152011 Location(s): Milwaukee,...

  3. CX-008468: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Compressed Natural Gas Fueling Facility CX(s) Applied: A1 Date: 06/12/2012 Location(s): Missouri Offices(s): National Energy Technology Laboratory

  4. CX-007382: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Compressed Natural Gas Manufacturing CX(s) Applied: B5.1 Date: 10/26/2011 Location(s): Wisconsin Offices(s): Golden Field Office

  5. CX-006678: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Restoration of 54-TPX-10CX(s) Applied: B6.1Date: 01/19/2010Location(s): Casper, WyomingOffice(s): RMOTC

  6. CX-012463: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Reliable SOFC Systems CX(s) Applied: A9, B3.6Date: 41877 Location(s): ConnecticutOffices(s): National Energy Technology Laboratory

  7. CX-002168: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-002168: Categorical Exclusion Determination New York State Alternative Fuel Vehicle and Infrastructure Deployment CX(s) Applied: B5.1 Date:...

  8. CX-001403: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-001403: Categorical Exclusion Determination West New York Energy Efficiency Projects CX(s) Applied: B5.1 Date: 04092010 Location(s): West New...

  9. CX-009133: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-009133: Categorical Exclusion Determination New York Program Year 2012 Formula Grants - State Energy Program CX(s) Applied: A9, A11 Date:...

  10. CX-001636: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-001636: Categorical Exclusion Determination Alexandria Bay, New York, Met Tower: General Services Administration Border Station CX(s) Applied: B3.1, A9...

  11. CX-002167: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-002167: Categorical Exclusion Determination New York State Alternative Fuel Vehicle and Infrastructure Deployment CX(s) Applied: B5.1 Date:...

  12. CX-006748: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-006748: Categorical Exclusion Determination New York State Alternative Fuel Vehicle and Infrastructure Deployment CX(s) Applied: B5.1 Date:...

  13. CX-007020: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-007020: Categorical Exclusion Determination New York State Alternative Fuel Vehicle and Infrastructure Deployment CX(s) Applied: B5.1 Date:...

  14. CX-003465: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    CX-003465: Categorical Exclusion Determination Vehicle Technologies Program Advanced Automotive Fuels Research, Development and Commercialization Cluster CX(s) Applied: A9, B2.2,...

  15. CX-005747: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-005747: Categorical Exclusion Determination Biobased Materials Automotive Value Chain Market Development Analysis CX(s) Applied: A9 Date: 05042011...

  16. CX-006211: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination Missouri Independent Energy Efficiency Program: Henniges Automotive - Process Air Compressor Upgrades CX(s) Applied: B5.1 Date: 07182011 Location(s):...

  17. CX-009210: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Silver Butte Fiber Burial Project CX(s) Applied: B.47 Date: 08/28/2012 Location(s): Montana, Montana Offices(s): Bonneville Power Administration

  18. CX-012054: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Catalyst Synthesis CX(s) Applied: B3.6 Date: 03/18/2014 Location(s): South Carolina Offices(s): Savannah River Operations Office

  19. CX-012117: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Exclusion Determination CX-012117: Categorical Exclusion Determination Fuel Cell Hybrid Walk-In Van Deployment Project CX(s) Applied: A9 Date: 05212014 Location(s):...

  20. CX-007517: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    UPF Mock Wall Project CX(s) Applied: B3.6 Date: 11/29/2011 Location(s): Tennessee Offices(s): Y-12 Site Office

  1. CX-004745: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination Acquisition of a Conservation Easement for Fish Habitat Mitigation in Okanogan County, Washington CX(s) Applied: A7 Date: 12082010...

  2. CX-003908: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    CX-003908: Categorical Exclusion Determination Fiscal Year 2010 Columbia Basin Fish Accords with Colville Confederated Tribes CX(s) Applied: B1.25 Date: 09082010...

  3. CX-012718: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Idaho State University Reactor Laboratory Modernization CX(s) Applied: B1.31Date: 41844 Location(s): IdahoOffices(s): Nuclear Energy

  4. CX-011642: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pantex Lake Land Utilization CX(s) Applied: B1.11 Date: 11/05/2013 Location(s): Texas Offices(s): Pantex Site Office

  5. CX-011634: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Closure Turf Installation CX(s) Applied: B6.1 Date: 08/27/2013 Location(s): Texas Offices(s): Pantex Site Office

  6. CX-008545: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Solar Energy Evolution and Diffusion Studies CX(s) Applied: A9 Date: 06/19/2012 Location(s): CX: none Offices(s): Golden Field Office

  7. CX-004085: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination Project T-221, Hazardous Material Management and Emergency Response (HAMMER) Operations Building CX(s) Applied: B1.15 Date: 10082010 Location(s): Richmond,...

  8. CX-008535: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    King County Biogas and Nutrient Reduction CX(s) Applied: A9 Date: 05/22/2012 Location(s): Washington Offices(s): Golden Field Office

  9. CX-012247: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Determination CX-012247: Categorical Exclusion Determination Installation of Solar Photovoltaic Systems CX(s) Applied: A9, B5.16 Date: 06182014 Location(s): Wisconsin, Wisconsin...

  10. CX-008989: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    State Energy Program CX(s) Applied: A9, A11 Date: 08/27/2012 Location(s): Kansas Offices(s): Golden Field Office

  11. CX-006539: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Exclusion Determination CX-006539: Categorical Exclusion Determination Boulder Wind Power Advanced Gearless Drivetrain CX(s) Applied: A9, B3.6 Date: 08252011 Location(s):...

  12. CX-009898: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Exclusion Determination CX-009898: Categorical Exclusion Determination 25A1455 - CO2 Capture with Enzyme Synthetic Analogue CX(s) Applied: B3.6 Date: 12152009...

  13. CX-100018: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Determination Wind Generator Project CX(s) Applied: A9 Date: 08152014 Location(s): Michigan Offices(s): Golden Field Office Technology Office: Wind Program Award Number:...

  14. CX-009710: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-009710: Categorical Exclusion Determination Spring Creek - Wine County No. 1 Transmission Tower Relocation CX(s) Applied: B4.6 Date: 11292012...

  15. CX-012317: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    High Performance Computing Upgrades CX(s) Applied: B1.31 Date: 06/16/2014 Location(s): Idaho Offices(s): Nuclear Energy

  16. CX-003506: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    State Energy Program American Recovery and Reinvestment Act: Quantum Solar Photovoltaic Module Manufacturing Plant CX(s) Applied: B5.1 Date: 08302010 Location(s):...

  17. CX-000571: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-000571: Categorical Exclusion Determination Photovoltaic Panel Installation (Building 833, TA-I) CX(s) Applied: B5.1 Date: 12102009...

  18. CX-004002: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination Knoxville Solar America Cites - Knox Heritage, Incorporated Solar Photovoltaic and Solar Thermal Demonstration Installation CX(s) Applied: B5.1 Date: 09202010...

  19. CX-008563: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-008563: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B3.14 Date: 06132012...

  20. CX-000924: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    National Accreditation Certification Program for Installation and Acceptance of Photovoltaic Systems CX(s) Applied: A9 Date: 02232010 Location(s): New York Office(s): Energy...

  1. CX-004021: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination State Energy Program American Recovery and Reinvestment Act: Solaria Photovoltaic Manufacturing Facility CX(s) Applied: B5.1 Date: 10082010 Location(s): Fremont,...

  2. CX-007872: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-007872: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B3.14 Date: 01272012...

  3. CX-007873: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-007873: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B3.14 Date: 01272012...

  4. CX-009914: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-009914: Categorical Exclusion Determination Plug & Play Solar Photovoltaic for American Homes CX(s) Applied: A9, B3.6 Date: 01282013 Location(s):...

  5. CX-000653: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-000653: Categorical Exclusion Determination Helios - Project: Photovoltaic Crystalline Module Assembly Plant CX(s) Applied: B5.1 Date: 01272010 Location(s):...

  6. CX-007867: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-007867: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B5.16 Date: 01272012...

  7. CX-005993: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-005993: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B5.1 Date: 05262011...

  8. CX-010740: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    CX-010740: Categorical Exclusion Determination Integration of Behind-the-Meter Photovoltaic Fleet Forecasts into Utility Grid System Operations CX(s) Applied: A9, A11 Date:...

  9. CX-001417: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination Field Verification of High-Penetration Levels of Photovoltaic into the Distribution Grid with Advanced Power Conditioning Systems CX(s) Applied:...

  10. CX-001654: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-001654: Categorical Exclusion Determination Burlington County Photovoltaic (PV) System CX(s) Applied: B5.1 Date: 04092010 Location(s): County of Burlington,...

  11. CX-003378: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-003378: Categorical Exclusion Determination Photovoltaic Solar Cell Fabrication Alkaline Texturing Process Improvement CX(s) Applied: B3.6...

  12. CX-005385: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    CX-005385: Categorical Exclusion Determination Low Cost High Concentration Photovoltaic Power Systems for Utility Power Generation -Sandia Site CX(s) Applied: B5.1 Date:...

  13. CX-009272: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Building 94 Facade Restoration CX(s) Applied: B1.3 Date: 09/10/2012 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory

  14. CX-010578: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Celilo Converter Station Upgrades CX(s) Applied: B4.11 Date: 07/25/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  15. CX-004957: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    CX-004957: Categorical Exclusion Determination General Compression, Inc. -Fuel-Free, Ubiquitous, Compressed Air Energy Storage CX(s) Applied: B3.6 Date: 08142010...

  16. CX-011751: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination GreenLight Biosciences - Highly Productive Cell-free Bioconversion of Methane CX(s) Applied: B3.6 Date: 12122013 Location(s):...

  17. CX-006558: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination Geothennal Resource Development with Zero Mass Withdrawal, Engineered Free Convection, and Wellbore Energy Conversion CX(s) Applied: A9, B3.6 Date: 08242011...

  18. CX-002572: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination Manufacturing and Commercialization of Energy Efficient Generators for Small Wind Turbines CX(s) Applied: A1, B5.1 Date: 05192010...

  19. CX-010237: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pittsburgh Green Innovators Synergy Center CX(s) Applied: A9 Date: 02/28/2013 Location(s): Pennsylvania Offices(s): Golden Field Office

  20. CX-012110: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Cowlitz Falls Fish Facility Access Agreement Extension CX(s) Applied: A2 Date: 04/02/2014 Location(s): Washington Offices(s): Bonneville Power Administration

  1. CX-004249: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    CX-004249: Categorical Exclusion Determination Low Cost High Concentration Photovoltaic Power Systems for Utility Power Generation CX(s) Applied: B5.1 Date: 10142010...

  2. CX-009513: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Aquatic Invasive Mussels Monitoring CX(s) Applied: B3.1 Date: 10/15/2012 Location(s): CX: none Offices(s): Bonneville Power Administration

  3. CX-002511: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-002511: Categorical Exclusion Determination Rhode Island Green Public Buildings Initiative CX(s) Applied: A9, B5.1 Date: 05282010 Location(s):...

  4. CX-000988: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    988: Categorical Exclusion Determination CX-000988: Categorical Exclusion Determination Green Energy Works - Combined Heat and Power - Geisinger Medical Center CX(s) Applied: A9,...

  5. CX-002945: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-002945: Categorical Exclusion Determination Pennsylvania Green Energy Works Targeted Grant - Native Energy Biogas Project CX(s) Applied: B1.15,...

  6. CX-007365: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-007365: Categorical Exclusion Determination Integration of the Green Lane Energy Biogas Generator CX(s) Applied: B1.7 Date: 11172011 Location(s):...

  7. CX-008228: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-008228: Categorical Exclusion Determination Hydropower Energy Resource (HyPER) Harvester CX(s) Applied: A9 Date: 04112012 Location(s):...

  8. CX-003856: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-003856: Categorical Exclusion Determination Road Prison Geothermal Earth Coupled Heating, Ventilation and Air Conditioning (HVAC) Upgrade CX(s) Applied: B5.1...

  9. CX-002034: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-002034: Categorical Exclusion Determination Road Prison Geothermal Earth Coupled Heating, Ventilation, and Air Conditioning Upgrade CX(s) Applied: B3.1, A9...

  10. CX-010770: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Wildland Fire Chainsaw Training CX(s) Applied: B1.2 Date: 08/01/2013 Location(s): Idaho Offices(s): Nuclear Energy

  11. CX-008341: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    A-6 Office Building CX(s) Applied: B1.15 Date: 04/19/2012 Location(s): Pennsylvania Offices(s): Naval Nuclear Propulsion Program

  12. CX-003853: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Energy Efficiency and Conservation Block Grant (EECBG) - Sherman - Geothermal Heat Pump Installation CX(s) Applied: B5.1 Date: 09072010 Location(s): Sherman, Connecticut...

  13. CX-004925: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    CX-004925: Categorical Exclusion Determination Material Methods - Phononic Heat Pump CX(s) Applied: B3.6 Date: 08132010 Location(s): Irvine, California Office(s):...

  14. CX-005651: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    State Energy Program - Renewable Energy Incentives - Ennis Residence Open Loop Heat Pump System CX(s) Applied: B5.1 Date: 04282011 Location(s): Greenwood, Delaware...

  15. CX-003717: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    CX-003717: Categorical Exclusion Determination Residential Ground Source Heat Pump Installation - Walter CX(s) Applied: B5.1 Date: 09152010 Location(s): Minnesota...

  16. CX-003715: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    CX-003715: Categorical Exclusion Determination Residential Ground Source Heat Pump Installation - Staus CX(s) Applied: B5.1 Date: 09152010 Location(s): Minnesota...

  17. CX-001512: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination Birmingham Recreation Center Ground Source Heat Pump Installation CX(s) Applied: A9, B5.1 Date: 04012010 Location(s): Birmingham,...

  18. CX-006083: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-006083: Categorical Exclusion Determination Ground Source Heat Pump Installation - Lac Qui Parle County Courthouse, Minnesota CX(s) Applied: B5.1 Date:...

  19. CX-000907: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination Improved Design Tools for Surface Water and Standing Column Well Heat Pump Systems CX(s) Applied: A9 Date: 02242010 Location(s): Stillwater, Oklahoma...

  20. CX-004348: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination State Energy Program Residential Ground Source Heat Pump Installations (6) CX(s) Applied: B5.1 Date: 10272010 Location(s): Prior Lake,...

  1. CX-003986: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination State Energy Program Residential Ground Source Heat Pump Installation - Korf CX(s) Applied: B5.1 Date: 09212010 Location(s): Minnesota...

  2. CX-004545: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination State Energy Program - Residential Ground Source Heat Pump Installation - Dalager CX(s) Applied: B5.1 Date: 11242010 Location(s): Minnesota...

  3. CX-004539: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination State Energy Program - Residential Ground Source Heat Pump Installation - Binford, Eric CX(s) Applied: B5.1 Date: 11242010 Location(s):...

  4. CX-006201: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Tennessee Energy Efficient Schools Initiative Schools Initiative Ground Source Heat Pump Program (Phase 2 and 3 for Lawrence Public and South Lawrence) CX(s) Applied: A9,...

  5. CX-000906: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination Development of Design and Simulation Tool for Hybrid Geothermal Heat Pump System CX(s) Applied: A9 Date: 02242010 Location(s): Oklahoma City, Oklahoma...

  6. CX-004376: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination City of Woodward, Oklahoma Ground Source Heat Pump Project Beyond State Template CX(s) Applied: B5.1 Date: 11012010 Location(s):...

  7. CX-011214: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sensitive Instrument Facility CX(s) Applied: B3.6 Date: 07/10/2013 Location(s): Iowa Offices(s): Ames Site Office

  8. CX-009543: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sopogy Subcontract CX(s) Applied: A9, B5.15 Date: 11/28/2012 Location(s): Hawaii Offices(s): Golden Field Office

  9. CX-008571: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Project Blue Energy CX(s) Applied: A9 Date: 06/20/2012 Location(s): Utah Offices(s): Golden Field Office

  10. CX-009579: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-009579: Categorical Exclusion Determination Wind Turbine Installation for Town of Drummond CX(s) Applied: B5.18 Date: 12192012 Location(s):...

  11. CX-002856: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-002856: Categorical Exclusion Determination Wind Turbine Development CX(s) Applied: B3.6, A9 Date: 07022010 Location(s): Bozeman, Montana...

  12. CX-001642: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-001642: Categorical Exclusion Determination Wind Turbine Castings Manufacturer CX(s) Applied: B5.1 Date: 04072010 Location(s): Wisconsin...

  13. CX-003230: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-003230: Categorical Exclusion Determination Wind Turbine Gearbox Remanufacturing CX(s) Applied: B2.2, B5.1 Date: 08042010 Location(s):...

  14. CX-003979: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    CX-003979: Categorical Exclusion Determination Tuscola North Plant 100 Kilowatt Wind Turbine Installation CX(s) Applied: B5.1 Date: 09222010 Location(s): Tuscola, Illinois...

  15. CX-003198: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-003198: Categorical Exclusion Determination High Efficiency Low Cost Solar Cells (HELSOLAR) CX(s) Applied: B3.6 Date: 08042010 Location(s): California...

  16. CX-004024: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    CX-004024: Categorical Exclusion Determination Backside Contact Multijunction Solar Cells for High Concentration Applications CX(s) Applied: B3.6, B5.1 Date: 09142010...

  17. CX-003754: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    CX-003754: Categorical Exclusion Determination Demonstration of High-Efficiency Solar Cells on Low-Cost Silicon Substrates CX(s) Applied: B3.6 Date: 09172010...

  18. CX-000525: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination Isolation of Fire Water System, 261-H Consolidated Incineration Facility CX(s) Applied: B1.27 Date: 09092009 Location(s): Aiken, South Carolina...

  19. CX-012172: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Repackage Lead Shot CX(s) Applied: B6.1 Date: 04/14/2014 Location(s): South Carolina Offices(s): Savannah River Operations Office

  20. CX-002141: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    and Conservation Block Grant - City of Jacksonville: Community Energy Efficiency Incentives CX(s) Applied: A11, B5.1 Date: 04292010 Location(s): Jacksonville, Florida...

  1. CX-006974: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Fully-Integrated Automotive Traction Inverter with Real-Time Switching Optimization CX(s) Applied: B3.6 Date: 09262011 Location(s): Colorado, Massachusetts,...

  2. CX-009299: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-009299: Categorical Exclusion Determination Optimization of Pressurized Oxy-Combustion with Flameless Reactor - Phase I CX(s) Applied: B3.6...

  3. CX-009298: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-009298: Categorical Exclusion Determination Optimization of Pressurized Oxy-Combustion with Flameless Reactor - Phase I CX(s) Applied: B3.6...

  4. CX-010563: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Methods for Transmission Congestion Management Through Predictive Simulation and Optimization CX(s) Applied: B3.6 Date: 01032013 Location(s): Washington, North Carolina,...

  5. CX-007695: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    National Laboratories - Improved Power System Operations Using Advanced Stochastic Optimization CX(s) Applied: A9 Date: 11182011 Location(s): New Mexico, Iowa, Massachusetts,...

  6. CX-009426: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Auxiliary Services Hydrogen Refueling Facility Performance Evaluation and Optimization CX(s) Applied: A9, B5.22 Date: 10242012 Location(s): California Offices(s):...

  7. CX-003164: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-003164: Categorical Exclusion Determination Optimization of Biomass Production Across a Landscape CX(s) Applied: A9 Date: 07262010...

  8. CX-003632: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-003632: Categorical Exclusion Determination Analysis of Evaporator Scale Sample CX(s) Applied: B3.6 Date: 08102010 Location(s): Aiken,...

  9. CX-003163: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-003163: Categorical Exclusion Determination Technical Analysis for Geothermal System CX(s) Applied: A9, B3.1 Date: 07082010 Location(s): South...

  10. CX-002549: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-002549: Categorical Exclusion Determination Technical Analysis for Geothermal System CX(s) Applied: B3.1, A9 Date: 05192010 Location(s): South...

  11. CX-010124: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Chromatography / Mass Spectrometry CX(s) Applied: B3.6 Date: 03/20/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office

  12. CX-009617: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Gas Mass Spectrometry CX(s) Applied: B3.6 Date: 11/07/2012 Location(s): South Carolina Offices(s): Savannah River Operations Office

  13. CX-010113: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Compression Stress Relaxometer CX(s) Applied: B3.6 Date: 03/28/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office

  14. CX-004223: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Center for Integrated Nanotechnologies Gateway - Installation and Operation of Computer Workstation Cluster, Los Alamos National Laboratory CX(s) Applied: B1.3 Date: 0519...

  15. CX-008011: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-008011: Categorical Exclusion Determination Install EMSL Super-Computer Power Infrastructure CX(s) Applied: B1.7 Date: 06302011 Location(s): Washington...

  16. CX-010343: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Bald Hill Farms Property Funding CX(s) Applied: B1.25 Date: 05/10/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  17. CX-008146: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Advanced Formation Evaluator Tools (Haliburton) CX(s) Applied: B3.7 Date: 09/11/2011 Location(s): Wyoming Offices(s): RMOTC

  18. CX-010528: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Exclusion Determination Durability Investigation for Quarternary Phosphonium-based Polymer Hydroxide Exchange Membranes CX(s) Applied: B3.6 Date: 09182012 Location(s):...

  19. CX-010768: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    ZIRCEX Nuclear Fuel Dissolution Testing CX(s) Applied: B3.6 Date: 08/12/2013 Location(s): Idaho Offices(s): Nuclear Energy

  20. CX-012648: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Bonneville Power House-Alcoa #2 Tower Relocation CX(s) Applied: B1.3Date: 41857 Location(s): WashingtonOffices(s): Bonneville Power Administration