Published October 24, 2025 | Version v2.2.0
Dataset Open

pop-cosmos: Galaxy property and redshift catalog for COSMOS2020

  • 1. ROR icon University of Cambridge
  • 2. ROR icon Stockholm University
  • 3. Imperial College London
  • 4. ROR icon Pennsylvania State University

Description

This record (v≥2.0.0) contains data products associated with the paper "pop-cosmos: Insights from generative modeling of a deep, infrared-selected galaxy population" by Thorp et al. (2025). Earlier versions of this record (v<2.0.0) contain data products associated with the paper "pop-cosmos: Scaleable inference of galaxy properties and redshifts with a data-driven population model" by Thorp et al. (2024), which are superseded by the contents of v2.0.0. In v≥2.0.0, we include results for all COSMOS2020 galaxies with $\textit{Ch.1}<26$ or $r<25$.

The included products are derived from spectral energy distribution (SED) fits to 26-band COSMOS2020 photometry, using the 16-parameter SPS model described in Thorp et al. (2024, 2025), and the pop-cosmos prior from Thorp et al. (2025). All results are based on Markov Chain Monte Carlo (MCMC) runs using the configuration described in Thorp et al. (2024, 2025). Results correspond to v2.1 of the COSMOS2020 catalog.

The current release includes the following files:

  • README_v2_2_0.txt: Detailed information about how to read the other files in the record.
  • mcmc_summaries.h5.gz: Zipped HDF5 file with summaries (percentiles) of the posteriors.
  • mcmc_samples_pop_cosmos.h5.gz: Zipped HDF5 file with posterior samples (using pop-cosmos prior).
  • mcmc_samples_Prospector.h5.gz: Zipped HDF5 file with posterior samples (using Prospector-$\alpha$ prior).

If you make use of any of these products, please cite this repository and Thorp et al. (2024, 2025). Please also cite the pop-cosmos overview paper by Alsing et al. (2024), and the paper by Deger et al. (2025). If you make use of any COSMOS data products, please cite Weaver et al. (2022) and any other relevant publications. If you make use of COSMOS spectroscopic data, please cite Khostovan et al. (2025) and references therein.

If you spot any issues or have any requests, please contact the corresponding author (Stephen Thorp) using the details in the README.

If you want to access pop-cosmos mock galaxy catalogs, these can be found on Zenodo.

Related software, including a demo notebook for working with the data in this record, can be found on GitHub

References:

  1. Alsing et al. (2024). ApJS 274, 12. [arXiv:2402.00935][doi]
  2. Deger et al. (2025). MNRAS, submitted. [arXiv:2509.20430]
  3. Khostovan et al. (2025). ApJ, submitted. [arXiv:2503.00120]
  4. Thorp et al. (2024). ApJ 975, 145. [arXiv:2406.19437][doi]
  5. Thorp et al. (2025). ApJ, 993, 240. [arXiv:2506.12122][doi]
  6. Weaver et al. (2022). ApJS 258, 11. [arXiv:2110.13923][doi]

Files

README_v2_2_0.txt

Files (46.8 GB)

Name Size Download all
md5:24b75a4c37dd7a2158b6ff8ec17d28f9
22.3 GB Download
md5:82d1498780ee0e6a572b99e6bf75d3c6
22.8 GB Download
md5:c66d2e498554fdf63d83c6afcb5ca1fa
1.6 GB Download
md5:56025dbbff2e430d6ca5b44f82c3e1c7
15.4 kB Preview Download

Additional details

Related works

Is supplement to
Journal article: 10.3847/1538-4357/ae0936 (DOI)

Funding

European Commission
CosmicExplorer - Exploring the Cosmos with the Vera Rubin Observatory 101018897
Knut and Alice Wallenberg Foundation
Understanding the Dynamic Universe 2018.0067

Software

Repository URL
https://github.com/Cosmo-Pop/pop-cosmos
Programming language
Python