Published March 11, 2025 | Version Version v1.0
Dataset Open

An empirical model for the tidal evolution of dark matter substructure

Authors/Creators

  • 1. ROR icon University of California, Los Angeles
  • 2. University of Chicago
  • 3. Univeristy of Toronto
  • 4. UCLA Division of Physical Sciences
  • 5. Carnegie Institution for Science
  • 6. ROR icon University of California, Merced

Description

The data files here can be used to reproduce the results in

 

Xiaolong Du, Daniel Gilman, Tommaso Treu, Andrew Benson, and Charles Gannon, Faster than SAM: An empirical model for the tidal evolution of dark matter substructure around strong gravitational lenses, arXiv:2503.07728 [astro-ph.CO].

 

Data are generated with the semi-analytic code Galacticus.

 

Host_Growth: merger trees for CDM and WDM models (only the main branch is output)

Subhalos_Full_Models_CDM: full-physics Galacticus simulation data for subhalo evoltuion

Subhalos_Idealized_Models_CDM_w_[]: idealized  Galacticus simulation data for subhalo evoltuion

pyHalo_Calibration_Data: data used to calibrate the tidal stripping model in pyHalo code

readGalacticusData.py: python library used to read the Galacticus outputs

Example.ipynb: examples of how to read the data and make plots

Files

Files (5.0 GB)

Name Size
md5:01e707c69427afc5fd235323a9999cf8
5.0 GB Download

Additional details

Identifiers

arXiv
arXiv:2503.07728

Funding

U.S. National Science Foundation
Astrophysics enabled by Keck All Sky Precision Adaptive Optics 1836016
U.S. National Science Foundation
Collaborative Research: Measuring the physical properties of darkmatter with strong gravitational lensing 2205100
Gordon and Betty Moore Foundation
Cosmology via Strongly lensed quasars with KAPA 8548
National Aeronautics and Space Administration
A definitive test of the dark matter paradigm on small scales 2046
Brinson Foundation
U.S. National Science Foundation
Kavli Institute for Theoretical Physics 2309135