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Do cooling and heating functions actually exist?

, , and . (2021)cite arxiv:2109.01674Comment: 10 pages, 7 figures. Key figure: figure 2.

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Response to NITRD, NCO, NSF Request for Information on Üpdate to the 2016 National Artificial Intelligence Research and Development Strategic Plan"., , , , , , , , , and 20 other author(s). CoRR, (2019)Machine Learning and Cosmology, , , , , , , , , and 1 other author(s). (2022)cite arxiv:2203.08056Comment: Contribution to Snowmass 2021. 32 pages.Validating Synthetic Galaxy Catalogs for Dark Energy Science in the LSST Era, , , , , , , , , and 29 other author(s). (2021)cite arxiv:2110.03769Comment: 46 pages, 33 figures.Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers., , , , , , , , , and 12 other author(s). CoRR, (2023)DeepCMB: Lensing Reconstruction of the Cosmic Microwave Background with Deep Neural Networks., , , , , and . CoRR, (2018)Temperature Structure of the Intra-Cluster Medium from SPH and AMR simulations, , , , , , , , , and 1 other author(s). (Jun 17, 2014)Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era., , , , , , , , , and 28 other author(s). CoRR, (2019)Cosmic Reionization On Computers: The Galaxy-Halo Connection between $5 z łeq10$, , and . (2020)cite arxiv:2001.02233Comment: 10 pages, 8 figures, comments are welcome.Do cooling and heating functions actually exist?, , and . (2021)cite arxiv:2109.01674Comment: 10 pages, 7 figures. Key figure: figure 2.DeepCMB: Lensing reconstruction of the cosmic microwave background with deep neural networks., , , , , and . Astron. Comput., (2019)