Euclid preparation. Estimating galaxy physical properties using CatBoost chained regressors with attention
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https://zenodo.org/doi/10.5281/zenodo.15736755
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资源简介：
This dataset accompanies our paper "Euclid preparation. Estimating galaxy physical properties using CatBoost chained regressors with attention", in which we present a novel machine-learning pipeline for estimating galaxy redshifts and physical properties from photometry. The dataset, curated as a general test case not specifically tailored to Euclid, was used as Test Case 0 in the paper. It contains deep multi-band photometry and physical properties. In the interest of open science and reproducibility, we share it here as a (zipped ) machine-readable .pq parquet file.
It is derived from the publicly-available COSMOS 2015 catalogue (Laigle et al. 2016, ApJS, 224, 24).
For further information please see our preprint and our GitHub repo.
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Zenodo创建时间：
2025-06-25
