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RHAPSODY-G simulations II - Baryonic growth and metal enrichment in massive galaxy clusters

, , , , , and . (2015)cite arxiv:1510.00718Comment: 20 pages, 10 figures, 2 tables. Submitted to MNRAS.

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RHAPSODY-G simulations II - Baryonic growth and metal enrichment in massive galaxy clusters, , , , , and . (2015)cite arxiv:1510.00718Comment: 20 pages, 10 figures, 2 tables. Submitted to MNRAS.DES science portal: Creating science-ready catalogs., , , , , , , , , and 48 other author(s). Astron. Comput., (2018)DES science portal: Computing photometric redshifts., , , , , , , , , and 60 other author(s). Astron. Comput., (2018)VDES J2325-5229 a z=2.7 gravitationally lensed quasar discovered using morphology independent supervised machine learning, , , , , , , , , and 49 other author(s). (2016)cite arxiv:1607.01391Comment: 11 pages, 7 figures, 7 tables, MNRAS submitted.Differential Assessment, Differential Benefit: Four-year Problem Roulette Analysis of STEM Practice Study., , and . L@S, page 293-296. ACM, (2020)Enabling dark energy survey science analysis with simulations on XSEDE resources., , and . XSEDE, page 16:1-16:8. ACM, (2013)How Did You Get that A? Selectivity's Role in Rising Undergraduate Grades at a Large Public University., , and . LAK, page 565-571. ACM, (2021)Identifying the Computing Education Needs of Liberal Arts and Sciences Students (Discussion Paper)., and . Koli Calling, page 19:1-19:7. ACM, (2023)Innovating at Campus Scale: The Case of Michigan's Atlas., , , , , and . L@S, page 306-310. ACM, (2023)A machine learning approach to galaxy properties: Joint redshift - stellar mass probability distributions with Random Forest., , , , , , , , , and 63 other author(s). CoRR, (2020)