1.2k citations · 4.4k across the 76 of their papers we have counts for
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Surrogate modelling the Baryonic Universe I: The colour of star formation
Jonas Chaves-Montero, Andrew Hearin
The spectral energy distribution of a galaxy emerges from the complex interplay of many physical ingredients, including its star formation history (SFH), metallicity evolution, and…
Generating Synthetic Cosmological Data with GalSampler
Andrew Hearin, Danila Korytov, Eve Kovacs +4
As part of the effort to meet the needs of the Large Synoptic Survey Telescope Dark Energy Science Collaboration (LSST DESC) for accurate, realistically complex mock galaxy catalog…
Cosmological Evidence Modelling: a new simulation-based approach to constrain cosmology on non-linear scales
Johannes U. Lange, Frank C. van den Bosch, Andrew R. Zentner +3
Extracting accurate cosmological information from galaxy-galaxy and galaxy-matter correlation functions on non-linear scales () requires cosmologic…
CosmoDC2: A Synthetic Sky Catalog for Dark Energy Science with LSST
Danila Korytov, Andrew Hearin, Eve Kovacs +27
This paper introduces cosmoDC2, a large synthetic galaxy catalog designed to support precision dark energy science with the Large Synoptic Survey Telescope (LSST). CosmoDC2 is the…
Physical Correlations of the Scatter between Galaxy Mass, Stellar Content, and Halo Mass
Christopher Bradshaw, Alexie Leauthaud, Andrew Hearin +2
We use the UniverseMachine to analyze the source of scatter between the central galaxy mass, the total stellar mass in the halo, and the dark matter halo mass. We also propose a ne…
Astro2020: Empirically Constraining Galaxy Evolution
Peter Behroozi, Matthew R. Becker, Frank C. van den Bosch +22
Over the past decade, empirical constraints on the galaxy-dark matter halo connection have significantly advanced our understanding of galaxy evolution. Past techniques have focuse…
Dark Matter Science in the Era of LSST
Keith Bechtol, Alex Drlica-Wagner, Kevork N. Abazajian +177
Astrophysical observations currently provide the only robust, empirical measurements of dark matter. In the coming decade, astrophysical observations will guide other experimental…
How to Optimally Constrain Galaxy Assembly Bias: Supplement Projected Correlation Functions with Count-in-cells Statistics
Kuan Wang, Yao-Yuan Mao, Andrew R. Zentner +6
Most models for the connection between galaxies and their haloes ignore the possibility that galaxy properties may be correlated with halo properties other than mass, a phenomenon…
PRIMUS: Clustering of Star-forming and Quiescent Central Galaxies at
Angela M. Berti, Alison L. Coil, Andrew P. Hearin +1
Previous work has demonstrated that at a given stellar mass, quiescent galaxies are more strongly clustered than star-forming galaxies. The contribution to this signal from central…
Probing the Fundamental Nature of Dark Matter with the Large Synoptic Survey Telescope
Alex Drlica-Wagner, Yao-Yuan Mao, Susmita Adhikari +97
Astrophysical and cosmological observations currently provide the only robust, empirical measurements of dark matter. Future observations with Large Synoptic Survey Telescope (LSST…