327 citations · 4.4k across the 74 of their papers we have counts for
9 papers · 1 filter
Modeling the Impact of Baryons on Subhalo Populations with Machine Learning
Ethan O. Nadler, Yao-Yuan Mao, Risa H. Wechsler +2
We identify subhalos in dark matter-only (DMO) zoom-in simulations that are likely to be disrupted due to baryonic effects by using a random forest classifier trained on two hydrod…
DESCQA: An Automated Validation Framework for Synthetic Sky Catalogs
Yao-Yuan Mao, Eve Kovacs, Katrin Heitmann +24
The use of high-quality simulated sky catalogs is essential for the success of cosmological surveys. The catalogs have diverse applications, such as investigating signatures of fun…
The Galaxy Clustering Crisis in Abundance Matching
Duncan Campbell, Frank C. van den Bosch, Nikhil Padmanabhan +5
Galaxy clustering on small scales is significantly under-predicted by sub-halo abundance matching (SHAM) models that populate (sub-)haloes with galaxies based on peak halo mass, $M…
The SAGA Survey: I. Satellite Galaxy Populations Around Eight Milky Way Analogs
Marla Geha, Risa H. Wechsler, Yao-Yuan Mao +8
We present the survey strategy and early results of the "Satellites Around Galactic Analogs" (SAGA) Survey. The SAGA Survey's goal is to measure the distribution of satellite galax…
Brightest galaxies as halo centre tracers in SDSS DR7
Johannes U. Lange, Frank C. van den Bosch, Andrew Hearin +4
Determining the positions of halo centres in large-scale structure surveys is crucial for many cosmological studies. A common assumption is that halo centres correspond to the loca…
The Immitigable Nature of Assembly Bias: The Impact of Halo Definition on Assembly Bias
Antonia S. Villarreal, Andrew R. Zentner, Yao-Yuan Mao +6
Dark matter halo clustering depends not only on halo mass, but also on other properties such as concentration and shape. This phenomenon is known broadly as assembly bias. We explo…