Published November 2023 | Version v1
Dataset Open

Probabilistic Inference of the Structure and Orbit of Milky Way Satellites with Semi-Analytic Modeling: SatGen data

Creators

  • 1. ROR icon Princeton University
  • 2. ROR icon New York University
  • 3. ROR icon Stony Brook University
  • 4. ROR icon Flatiron Institute
  • 5. ROR icon University of California, Irvine
  • 6. ROR icon Peking University

Description

Datasets used in Folsom et al. (2025), "Probabilistic Inference of the Structure and Orbit of Milky Way Satellites with Semi-Analytic Modeling"

Includes four datasets generated with SatGen, one for each combination of feedback emulator and stellar mass -- halo mass relation in SatGen. Each includes 2,000 realizations of a Milky Way-like satellite system, except for NIHAO_RP17, which has 4,000 realizations. See the paper and the associated GitHub repository for more information. 

Files

Files (7.7 GB)

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md5:db303d644b3687535dcf23a7acc3f910
1.6 GB Download
md5:c2d4c6142b1303cc7f64a34c5db54c05
1.6 GB Download
md5:ba91fbd467b9017e4acad538ce757d52
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md5:3e932ece30770c2ddef1d83ff29577ad
3.0 GB Download

Additional details

Related works

Is published in
Preprint: arXiv:2311.05676 (arXiv)
Journal article: 10.1093/mnras/stae2736 (DOI)
Is required by
Software: https://github.com/folsomde/Semianalytic_Inference (URL)

Dates

Available
2023-11
Preprint posted on arXiv
Accepted
2024-12
Accepted to MNRAS
Issued
2025-01
Issued in MNRAS