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Disambiguation of "Thomas, Daniel"

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Galaxy Zoo 2: detailed morphological classifications for 304,122 galaxies from the Sloan Digital Sky Survey

, , , , , , , , , , , , , , , , , and . (2013)

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Daniel Thomas

Daniel Thomas

Daniel Thomas

Thomas Daniel

Daniel Thomas

 

Other publications of authors with the same name

Galaxy Zoo 2: detailed morphological classifications for 304,122 galaxies from the Sloan Digital Sky Survey, , , , , , , , , and 8 other author(s). (2013)SDSS-IV MaNGA: variation of the stellar initial mass function in spiral and early-type galaxies, , , , , , , , , and 3 other author(s). (2017)cite arxiv:1703.04894Comment: Accepted for publication in ApJ. 9 pages, 9 figures.IBIS integrated biological imaging system: electron micrograph image-processing software running on Unix workstations., , , , and . Comput. Appl. Biosci., 8 (6): 583-586 (1992)MACS: automatic counting of objects based on shape recognition., , and . Comput. Appl. Biosci., 13 (5): 563-564 (1997)IBIS version 3: an OSF/Motif-based interface for IBIS - integrated biological imaging system., , , and . Comput. Appl. Biosci., 12 (3): 241-245 (1996)Predicting pregnancy using large-scale datafrom a women's health tracking mobile application., , , , , , and . WWW, page 2999-3005. ACM, (2019)SDSS-IV MaNGA: A serendipitous observation of a potential gas accretion event, , , , , , , , , and 17 other author(s). (2016)cite arxiv:1609.02155Comment: Re-submitted to ApJ after addressing referee report; 11 pages, 6 figures.SDSS-IV MaNGA: The Impact of Diffuse Ionized Gas on Emission-line Ratios, Interpretation of Diagnostic Diagrams, and Gas Metallicity Measurements, , , , , , , , , and 17 other author(s). (2016)cite arxiv:1612.02000Comment: Accepted for publication in MNRAS, 30 pages, 32 figures.Galaxy Zoo: morphologies derived from visual inspection of galaxies from the Sloan Digital Sky Survey, , , , , , , , , and 2 other author(s). Monthly Notices of the Royal Astronomical Society, 389 (3): 1179--1189 (2008)Galaxy Zoo: Reproducing Galaxy Morphologies via Machine Learning, , , , , , , , , and 3 other author(s). Monthly Notices of the Royal Astronomical Society, 406 (1): 342--353 (2010)