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Published September 3, 2024 | Version 1.0.0
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pop-cosmos: Galaxy property and redshift catalog for COSMOS2020

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

Description

This record contains 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).

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), and the pop-cosmos prior from Alsing et al. (2024). All results are based on Markov Chain Monte Carlo (MCMC) runs using the configuration described in Thorp et al. (2024). Results correspond to v2.1 of the COSMOS2020 catalog.

The current release includes the following files:

  • README.txt: Detailed information about how to read the other files in the record.
  • summaries.txt: Plain text file (space delimited) containing summaries of the posteriors estimated from the MCMC chains.

If you make use of any of these products, please cite this repository and the linked paper. Please also cite the pop-cosmos overview paper by Alsing et al. (2024). If you make use of any COSMOS data products, please cite the relevant publications.

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

Files

README.txt

Files (52.5 MB)

Name Size Download all
md5:88ab157a5a3d94d812e0f10c99330e12
4.9 kB Preview Download
md5:fd080aa0597c2555413e3d2ea3f107b8
52.5 MB Preview Download

Additional details

Related works

Is derived from
Journal article: 10.3847/1538-4365/ad5c69 (DOI)
Preprint: arXiv:2402.00935 (arXiv)
Is supplement to
Preprint: arXiv:2406.19437 (arXiv)

Funding

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