GRAVITATIONALLY CONSISTENT HALO CATALOGS AND MERGER TREES FOR PRECISION COSMOLOGY
SLAC National Accelerator Laboratory · Stanford University · +4 more institutions
Abstract
We present a new algorithm for generating merger trees and halo catalogs which explicitly ensures consistency of halo properties (mass, position, and velocity) across timesteps. Our algorithm has demonstrated the ability to improve both the completeness (through detecting and inserting otherwise missing halos) and purity (through detecting and removing spurious objects) of both merger trees and halo catalogs. In addition, our method is able to robustly measure the self-consistency of halo finders; it is the first to directly measure the uncertainties in halo positions, halo velocities, and the halo mass function for a given halo finder based on consistency between snapshots in cosmological simulations. We use…
Citation impact
- FWCI
- 19.16
- Percentile
- 100%
- References
- 69
Authors
6- PBPeter BehrooziCorresponding
SLAC National Accelerator Laboratory, Stanford University, Kavli Institute for Particle Astrophysics and Cosmology
- RHRisa H. WechslerCorresponding
SLAC National Accelerator Laboratory, Kavli Institute for Particle Astrophysics and Cosmology, Stanford University
- HWHao‐Yi Wu
Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, SLAC National Accelerator Laboratory
- MTMichael T. Busha
University of Zurich
- AKAnatoly Klypin
New Mexico State University
Topics & keywords
- Halo
- Spurious relationship
- Consistency (knowledge bases)
- Computer science
- Cosmology
- Astrophysics
- Measure (data warehouse)
- Tree (set theory)