Document

Code for \ NIST -- National Institute of Standards and Technology, data

.nist.gov (Standard Reference / public data, DCAT/NERDm). {"@context":["https://data.nist.gov/od/dm/nerdm-pub-context.jsonld",{"@base":"ark:/88434/mds112rqp03s"}],"_schema":"https://data.nist.gov/od/dm/nerdm-schema/v0.7#","_extensionSchemas":["https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/PublicDataResource"],"@type":["nrdp:PublicDataResource"],"@id":"ark:/88434/mds112rqp03s","doi":"doi:10.18434/T4/1432807","title":"Code for \"The Walker Alias Method in Modern Fortran\"","contactPoint":{"fn":"Zachary Levine","hasEmail":"mailto:zachary.levine@nist.gov"},"modified":"2018-04-05","ediid":"691BCA76C12A10F2E053245706817D321906","landingPage":"https://data.nist.gov/od/id/691BCA76C12A10F2E053245706817D321906","description":["This source code is available in zipped file which includes two source files, two author's output files, a Makefile and a README.txt file. An article with further documentation titled \"The Walker Alias Method for Sampling in Modern Fortran\" has been submitted for publication in the Journal of Research of the National Institute of Standards and Technology. Before publication, it is available to NIST personnel through the internal manuscript system."],"keyword":["x-ray computed tomography ; medical phantom ; Hounsfield unit ; volume ; shape"],"theme":["Information Technology:Computational science"],"topic":[],"accessLevel":"public","license":"https://www.nist.gov/open/license","components":[{"accessURL":"https://doi.org/10.18434/T4/1432807","format":"text/html","description":"DOI Access to Code for \\\\\"The Walker Alias Method in Modern Fortran\\\\\"","title":"DOI Access to Code for \\\\\"The Walker Alias Method in Modern Fortran\\\\\"","@type":["nrd:Hidden","dcat:Distribution"],"@id":"#doi:10.18434/T4/1432807"},{"description":"SHA-256 checksum value for walkerAlias.zip","algorithm":{"@type":"Thing","tag":"sha256"},"filepath":"walkerAlias.zip.sha256","checksum":{"hash":"56de9bd516676d63e21529d63f51e423ec7c536ba2bdbf686c07d8a4d18edc0c","algorithm":{"tag":"sha256","@type":"Thing"}},"title":"SHA256 file for zipped files","mediaType":"text/plain","downloadURL":"https://data.nist.gov/od/ds/691BCA76C12A10F2E053245706817D321906/walkerAlias.zip.sha256","describes":"cmps/walkerAlias.zip","size":64,"@id":"cmps/walkerAlias.zip.sha256","@type":["nrdp:ChecksumFile","nrdp:DownloadableFile","dcat:Distribution"],"_extensionSchemas":["https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/ChecksumFile"],"valid":true},{"description":"This zipped file contains two source files, two author's output files, a Makefile and a README.txt file.","filepath":"walkerAlias.zip","checksum":{"hash":"64b27e12f382e27a36e77c6fb5226c83e0b43c6902e5a92ae61f505b18ba2e76","algorithm":{"tag":"sha256","@type":"Thing"}},"title":"Code for - The Walker Alias Method in Modern Fortran","mediaType":"application/zip","downloadURL":"https://data.nist.gov/od/ds/691BCA76C12A10F2E053245706817D321906/walkerAlias.zip","size":9445,"@id":"cmps/walkerAlias.zip","@type":["nrdp:DataFile","nrdp:DownloadableFile","dcat:Distribution"],"_extensionSchemas":["https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/DataFile"]}],"publisher":{"name":"National Institute of Standards and Technology","@type":"org:Organization"},"language":["en"],"bureauCode":["006:55"],"programCode":["006:045"],"version":"1.0.0"},{"_schema":"https://data.nist.gov/od/dm/nerdm-schema/v0.7#","@context":["https://data.nist.gov/od/dm/nerdm-pub-context.jsonld",{"@base":"ark:/88434/mds10v8c17"}],"@type":["nrdp:PublicDataResource"],"_extensionSchemas":["https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/PublicDataResource"],"@id":"ark:/88434/mds10v8c17","title":"GI625 optical fiber data imaged on a Zeiss Versa XRM-500 microCT at 12 tube voltages","contactPoint":{"fn":"Zachary H. Levine","hasEmail":"mailto:zachary.levine@nist.gov"},"modified":"2017-08-01 00:00:00","ediid":"6920762299183C14E053245706817F891908","landingPage":"https://data.nist.gov/od/id/6920762299183C14E053245706817F891908","description":["This is tomography data as acquired using a commercial X-ray tomography instrument. We obtained reconstructions of a graded-index optical fiber with voxels of edge length 1.05 µm at 12 tube voltages. The fiber manufacturer created a graded index in the central region by varying the germanium concentration from a peak value in the center of the core to a very small value at the core-cladding boundary. Operating on 12 tube voltages, we show by a singular value decomposition that there are only two singular vectors with significant weight. Physically, this means scans beyond two tube voltages contain largely redundant information. We concentrate on an analysis of the images associated with these two singular vectors. The first singular vector is dominant and images of the coefficients of the first singular vector at each voxel look are similar to any of the single-energy reconstructions. Images of the coefficients of the second singular vector by itself appear to be noise. However, by averaging the reconstructed voxels in each of several narrow bands of radii, we can obtain values of the second singular vector at each radius. In the core region, where we expect the germanium doping to go from a peak value at the fiber center to zero at the core-cladding boundary, we find that a plot of the two coefficients of the singular vectors forms a line in the two-dimensional space consistent with the dopant decreasing linearly with radial distance from the core center. The coating, made of a polymer rather than silica, is not on this line indicating that the two-dimensional results are sensitive not only to the density but also to the elemental composition. A stack of reconstructions are given here as tiff files of individual slices. Each zip file corresponds to a tilt series at a given tube voltage, given in the file name. The power is also given in the file name. (For example, file “30kV-2W.zip” was tube voltage at 30kV, power 2W.) The power was varied so that the signal-to-noise was approximately equal for the various reconstructions. The experiment is described in: ZH Levine, AP Peskin, EJ Garboczi, and AD Holmgren, Multi-Energy X-Ray Tomography of an Optical Fiber: The Role of Spatial Averaging, Microscopy and Microanalysis 25 (1) 70-76 (2019). https://doi.org/10.1017/S1431927618016136"],"keyword":["x-ray computed tomography ; optical fiber ; panchromatic sharpening"],"theme":["Physics:Optical physics"],"topic":[],"references":[{"@type":["npg:Article"],"@id":"#ref:10.1017/S1431927618016136","refType":"IsCitedBy","location":"https://doi.org/10.1017/S1431927618016136","_extensionSchemas":["https://data.nist.gov/od/dm/nerdm-schema/bib/v0.7#/definitions/DCiteReference"],"title":"Multi-Energy X-Ray Tomography of an Optical Fiber: The Role of Spatial Averaging","issued":"2019-02","citation":"Levine, Z. H., Peskin, A. P., Garboczi, E. J., & Holmgren, A. D. (2019). Multi-Energy X-Ray Tomography of an Optical Fiber: The Role of Spatial Averaging. 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Salt Lake City, Utah activity is provided at the county level (0.002 degree grid resolution), and at hourly and yearly time frames. It builds upon work conducted at the national scale by the Vulcan Project. These high spatial and temporal resolution datasets are available for 2002, 2010, 2011, and 2012."],"keyword":["Greenhouse Gas","Carbon Dioxide","CO2","Urban Emissions","Carbon Monitoring","Atmospheric Modeling","Salt Lake City","Utah","Fossil Fuel","Bottom-up Emissions Inventory"],"theme":["Environment:Greenhouse gas measurements"],"topic":[],"references":[{"@type":["npg:Article"],"@id":"#ref:10.4155/cmt.10.7","refType":"IsReferencedBy","location":"https://doi.org/10.4155/cmt.10.7","_extensionSchemas":["https://data.nist.gov/od/dm/nerdm-schema/bib/v0.7#/definitions/DCiteReference"],"title":"A new methodology for quantifying on-site residential and commercial fossil fuel CO2emissions at the building spatial scale and hourly time scale","issued":"2010-10","citation":"Zhou, Y., & Gurney, K. (2010). A new methodology for quantifying on-site residential and commercial fossil fuel CO2emissions at the building spatial scale and hourly time scale. 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