Astro2020: Empirically Constraining Galaxy Evolution

11 Mar 2019  ·  Behroozi Peter University of Arizona, Becker Matthew R. Argonne, Bosch Frank C. van den Yale, Brinchmann Jarle Leiden, Conroy Charlie Harvard University, Dickinson Mark NOAO, Hirata Christopher M. OSU, Hearin Andrew Argonne, Leauthaud Alexie UCSC, Ly Chun University of Arizona, Mao Yao-Yuan University of Pittsburgh, Moster Benjamin P. LMU, O'Donnell Christine University of Arizona, Papovich Casey Texas A&M University, Rodríguez-Puebla Aldo UNAM, Somerville Rachel CCA, Flatiron Institute, Tollerud Erik STScI, Tinker Jeremy NYU, Wang Yun Caltech/IPAC, Wechsler Risa H. KIPAC, Stanford, SLAC, Woodrum Charity University of Arizona, Zabludoff Ann University of Arizona, Zaritsky Dennis University of Arizona, Zentner Andrew R. University of Pittsburgh, Zhang Huanian University of Arizona ·

Over the past decade, empirical constraints on the galaxy-dark matter halo connection have significantly advanced our understanding of galaxy evolution. Past techniques have focused on connections between halo properties and galaxy stellar mass and/or star formation rates... Empirical techniques in the next decade will link halo assembly histories with galaxies' circumgalactic media, supermassive black holes, morphologies, kinematics, sizes, colors, metallicities, and transient rates. Uncovering these links will resolve many critical uncertainties in galaxy formation and will enable much higher-fidelity mock catalogs essential for interpreting observations. Achieving these results will require broader and deeper spectroscopic coverage of galaxies and their circumgalactic media; survey teams will also need to meet several criteria (cross-comparisons, public access, and covariance matrices) to facilitate combining data across different surveys. Acting on these recommendations will continue enabling dramatic progress in both empirical modeling and galaxy evolution for the next decade. read more

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Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics