pop-cosmos: Galaxy property and redshift catalog for COSMOS2020

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 (2024), which are superseded by the contents of v2.0.0.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_1_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). 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: Alsing et al. (2024). ApJS 274, 12. [arXiv:2402.00935][doi] Khostovan et al. (2025). ApJ, submitted. [arXiv:2503.00120] Thorp et al. (2024). ApJ 975, 145. [arXiv:2406.19437][doi] Thorp et al. (2025). ApJ, accepted. [arXiv:2506.12122] Weaver et al. (2022). ApJS 258, 11. [arXiv:2110.13923][doi]本版本号≥2.0.0的数据集记录，包含与Thorp等人（2025）发表的论文‘pop-cosmos：基于深红外选星系种群生成建模的洞察’相关的数据产品。本记录的早期版本（版本号<2.0.0）包含与Thorp等人（2024）发表的论文‘pop-cosmos：基于数据驱动种群模型的星系属性与红移可扩展推断’相关的数据产品，该部分内容已被v2.0.0版本的内容取代。在版本号≥2.0.0的记录中，我们纳入了所有满足$ extit{Ch.1}<26$或$r<25$的COSMOS2020星系的分析结果。 本次包含的数据产品源自对26波段COSMOS2020测光数据的光谱能量分布（spectral energy distribution, SED）拟合，采用了Thorp等人（2024, 2025）提出的16参数恒星种群合成（Stellar Population Synthesis, SPS）模型，以及Thorp等人（2025）提出的pop-cosmos先验。所有结果均基于采用Thorp等人（2024, 2025）所述配置完成的马尔可夫链蒙特卡洛（Markov Chain Monte Carlo, MCMC）采样。本次结果对应COSMOS2020星表的v2.1版本。 当前发布包含以下文件： README_v2_1_0.txt：本记录中其余文件的详细读取说明文档。 mcmc_summaries.h5.gz：压缩的分层数据格式5号（Hierarchical Data Format 5, HDF5）文件，存储后验分布的分位数统计摘要。 mcmc_samples_pop_cosmos.h5.gz：压缩的HDF5文件，存储采用pop-cosmos先验得到的后验采样结果。 mcmc_samples_Prospector.h5.gz：压缩的HDF5文件，存储采用Prospector-α先验得到的后验采样结果。 若您使用本数据集的任何产品，请引用本数据集仓库以及Thorp等人（2024, 2025）的研究成果。同时请引用Alsing等人（2024）发表的pop-cosmos综述论文。若您使用了COSMOS相关数据产品，请引用Weaver等人（2022）及其他相关文献。若您使用了COSMOS光谱数据，请引用Khostovan等人（2025）及其参考文献列表。 若您发现任何问题或有相关需求，请通过README文档中的联系方式联系通讯作者Stephen Thorp。 若您需要获取pop-cosmos模拟星系星表，可在Zenodo平台获取。 包含本数据集配套演示笔记本在内的相关软件，可在GitHub平台获取。 参考文献： Alsing et al. (2024). ApJS 274, 12. [arXiv:2402.00935][doi] Khostovan et al. (2025). ApJ, submitted. [arXiv:2503.00120] Thorp et al. (2024). ApJ 975, 145. [arXiv:2406.19437][doi] Thorp et al. (2025). ApJ, accepted. [arXiv:2506.12122] Weaver et al. (2022). ApJS 258, 11. [arXiv:2110.13923][doi]