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Machine Learning and Cosmological Simulations II: Hydrodynamical Simulations

, , and . (2015)cite arxiv:1510.07659Comment: 15 pages, 20 figures, 6 tables. Submitted to MNRAS. Comments welcome.

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Digital Sky Surveys: Software Tools and Technologies, and . (November 2000)http://dx.doi.org/10.1888/0333750888/2926.Astronomical archives of the future: a Virtual Observatory., and . Future Gener. Comput. Syst., 16 (1): 63-72 (1999)High-Performance Computing with Accelerators., , , , and . Comput. Sci. Eng., 12 (4): 12-16 (2010)Narrow absorption line variability in repeat quasar observations from the Sloan Digital Sky Survey, , , and . (2013)cite arxiv:1307.7832Comment: 77 pages, 52 figures, accepted for publication in MNRAS.Data Mining and Machine Learning in Astronomy, and . International Journal of Modern Physics D, 19 (07): 1049--1106 (Aug 10, 2010)Implementation of the two-point angular correlation function on a high-performance reconfigurable computer., , and . Sci. Program., 17 (3): 247-259 (2009)Humans vs. ChatGPT: Evaluating Annotation Methods for Financial Corpora., , and . IEEE Big Data, page 2831-2838. IEEE, (2023)Teaching Data Science., and . ICCS, volume 80 of Procedia Computer Science, page 1947-1956. Elsevier, (2016)SOMz: photometric redshift PDFs with self organizing maps and random atlas., and . CoRR, (2013)Machine Learning and Cosmological Simulations II: Hydrodynamical Simulations, , and . (2015)cite arxiv:1510.07659Comment: 15 pages, 20 figures, 6 tables. Submitted to MNRAS. Comments welcome.