DESI DR1 Stellar Parameter Catalog Inferred using Python-based LAMOST Stellar Parameter Pipeline (PyLASP)
Junchao Liang
This stellar-parameter catalog provides results inferred for 6,369,991 DESI DR1 spectra using the Python-based LAMOST Stellar Parameter Pipeline (PyLASP). It includes radial velocity (RV), effective temperature (Teff), surface gravity (log g), and metallicity ([Fe/H]) with corresponding inference uncertainties. Results are reported for both CPU-based LASP-CurveFit and GPU-based LASP-Adam-GPU under Clean and No Clean strategies. For detailed field descriptions and naming conventions, please refer to the ReadMe.txt file.
Files
PyLASP_DESI_DR1.fits
1.93 GB
ReadMe.txt
10.12 kB
Paper Information
Paper Title:
Scalable Stellar Parameter Inference Using Python-Based LASP: From CPU Optimization to GPU Acceleration
Publication:
ApJ
Identifiers
CSTR:
11379.11.101675
DOI:
10.12149/101675
VO Identifier:
ivo://China-VO/paperdata/101675
Publication Date:
2025-10-01
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Total Downloads
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Citations
Junchao Liang et al. 2025. DESI DR1 Stellar Parameter Catalog Inferred using Python-based LAMOST Stellar Parameter Pipeline (PyLASP). Version 1.0. https://doi.org/10.12149/101675
@misc{10.12149/101675,
doi = {10.12149/101675},
url = {https://doi.org/10.12149/101675},
author = {Junchao Liang},
title = {DESI DR1 Stellar Parameter Catalog Inferred using Python-based LAMOST Stellar Parameter Pipeline (PyLASP)},
version = {1.0},
publisher = {Nataional Astronomical Data Center of China},
year= {2025}
}
doi = {10.12149/101675},
url = {https://doi.org/10.12149/101675},
author = {Junchao Liang},
title = {DESI DR1 Stellar Parameter Catalog Inferred using Python-based LAMOST Stellar Parameter Pipeline (PyLASP)},
version = {1.0},
publisher = {Nataional Astronomical Data Center of China},
year= {2025}
}
Versions
Main
This DOI represents all versions, and will always resolve to the latest one.
2025-10-01