Web interface for reflectivity fitting

doi:10.1016/j.softx.2018.09.001

Title: Web interface for reflectivity fitting

Full Record
Other Related Research

Abstract

Here, the Liquids Reflectometer at Oak Ridge National Laboratory’s Spallation Neutron Source provides neutron reflectometry capability for an average of about 30 experiments each year. In recent years, there has been a large effort to streamline the data processing and analysis for the instrument. While much of the data reduction can be automated, data analysis remains something that needs to be done by scientists. For this purpose, we present a reflectivity fitting web interface that captures the process of setting up and executing fits while reducing the need for installing software or writing Python scripts.

Authors:: Doucet, M.; Ferraz Leal, R. M.; Hobson, T. C.

Publication Date:: 2018-01-01

Research Org.:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)

OSTI Identifier:: 1470800

Alternate Identifier(s):: OSTI ID: 1471936

Grant/Contract Number:: AC05-00OR22725

Resource Type:: Published Article

Journal Name:: SoftwareX

Additional Journal Information:: Journal Name: SoftwareX Journal Volume: 7 Journal Issue: C; Journal ID: ISSN 2352-7110

Publisher:: Elsevier

Country of Publication:: United States

Language:: English

Subject:: 97 MATHEMATICS AND COMPUTING; 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; Neutron scattering; Reflectometry; User interface

Citation Formats


                    Doucet, M., Ferraz Leal, R. M., and Hobson, T. C. Web interface for reflectivity fitting.  United States: N. p., 2018. 
        Web.  doi:10.1016/j.softx.2018.09.001.

Copy to clipboard


                    Doucet, M., Ferraz Leal, R. M., & Hobson, T. C. Web interface for reflectivity fitting.  United States.  doi:10.1016/j.softx.2018.09.001.

Copy to clipboard


                    Doucet, M., Ferraz Leal, R. M., and Hobson, T. C. Mon .  
        "Web interface for reflectivity fitting".  United States.  doi:10.1016/j.softx.2018.09.001.

Copy to clipboard


                    
@article{osti_1470800,

  title        = {Web interface for reflectivity fitting},

  author       = {Doucet, M. and Ferraz Leal, R. M. and Hobson, T. C.},

  abstractNote = {Here, the Liquids Reflectometer at Oak Ridge National Laboratory’s Spallation Neutron Source provides neutron reflectometry capability for an average of about 30 experiments each year. In recent years, there has been a large effort to streamline the data processing and analysis for the instrument. While much of the data reduction can be automated, data analysis remains something that needs to be done by scientists. For this purpose, we present a reflectivity fitting web interface that captures the process of setting up and executing fits while reducing the need for installing software or writing Python scripts.},

  doi          = {10.1016/j.softx.2018.09.001},

  journal      = {SoftwareX},

  number       = C,

  volume       = 7,

  place        = {United States},

  year         = {2018},

  month        = {1}

}

Copy to clipboard

Journal Article:

Free Publicly Available Full Text

Publisher's Version of Record
DOI: 10.1016/j.softx.2018.09.001

Other availability

Search WorldCat to find libraries that may hold this journal

Save / Share:

Export Metadata

Save to My Library

Similar Records in DOE PAGES and OSTI.GOV collections:

Magnetism reflectometer study shows LiF layers improve efficiency in spin valve devices

Journal Article Bardoel, Agatha A ; Lauter, Valeria ; Szulczewski, Greg J - Notiziario Neutroni E Luce di Sincrotrone

New, more efficient materials for spin valves - a device used in magnetic sensors, random access memories, and hard disk drives - may be on the way based on research using the magnetism reflectometer at Oak Ridge National Laboratory (ORNL). Spin valve devices work by means of two or more conducting magnetic material layers that alternate their electrical resistance depending on the layers alignment. Giant magnetoresistance is a quantum mechanical effect first observed in thin film structures about 20 years ago. The effect is observed as a significant change in electrical resistance, depending on whether the magnetization of adjacent ferromagneticmore »« less
Towards a Scalable and Adaptive Application Support Platform for Large-Scale Distributed E-Sciences in High-Performance Network Environments

Technical Report Wu, Chase Qishi ; Zhu, Michelle Mengxia

The advent of large-scale collaborative scientific applications has demonstrated the potential for broad scientific communities to pool globally distributed resources to produce unprecedented data acquisition, movement, and analysis. System resources including supercomputers, data repositories, computing facilities, network infrastructures, storage systems, and display devices have been increasingly deployed at national laboratories and academic institutes. These resources are typically shared by large communities of users over Internet or dedicated networks and hence exhibit an inherent dynamic nature in their availability, accessibility, capacity, and stability. Scientific applications using either experimental facilities or computation-based simulations with various physical, chemical, climatic, and biological models featuremore »« less
DOI: 10.2172/1255487

Full Text Available
Evaluation of SNS Beamline Shielding Configurations using MCNPX Accelerated by ADVANTG

Conference Risner, Joel M ; Johnson, Seth R. ; Remec, Igor ; ...

Shielding analyses for the Spallation Neutron Source (SNS) at Oak Ridge National Laboratory pose significant computational challenges, including highly anisotropic high-energy sources, a combination of deep penetration shielding and an unshielded beamline, and a desire to obtain well-converged nearly global solutions for mapping of predicted radiation fields. The majority of these analyses have been performed using MCNPX with manually generated variance reduction parameters (source biasing and cell-based splitting and Russian roulette) that were largely based on the analyst's insight into the problem specifics. Development of the variance reduction parameters required extensive analyst time, and was often tailored to specific portionsmore »« less
Full Text Available
Neutron Scattering Experiment Automation with Python

Conference Zolnierczuk, Piotr A ; Riedel, Richard A

The Spallation Neutron Source (SNS) at Oak Ridge National Laboratory currently holds the Guinness World Record as the world most powerful pulsed spallation neutron source. Neutrons scattered off atomic nuclei in a sample yield important information about the position, motions, and magnetic properties of atoms in materials. A neutron scattering experiment usually involves sample environment control (temperature, pressure, etc.), mechanical alignment (slits, sample and detector position), magnetic field controllers, neutron velocity selection (choppers) and neutron detectors. The SNS Data Acquisition System (DAS) consists of real-time sub-system (detector read-out with custom electronics, chopper interface), data preprocessing (soft real-time) and a clustermore »« less
Graph Mining Meets the Semantic Web

Conference Lee, Sangkeun ; Sukumar, Sreenivas R ; Lim, Seung-Hwan

The Resource Description Framework (RDF) and SPARQL Protocol and RDF Query Language (SPARQL) were introduced about a decade ago to enable flexible schema-free data interchange on the Semantic Web. Today, data scientists use the framework as a scalable graph representation for integrating, querying, exploring and analyzing data sets hosted at different sources. With increasing adoption, the need for graph mining capabilities for the Semantic Web has emerged. We address that need through implementation of three popular iterative Graph Mining algorithms (Triangle count, Connected component analysis, and PageRank). We implement these algorithms as SPARQL queries, wrapped within Python scripts. We evaluatemore »« less

Similar Records