A Model RRNet for Spectral Information Exploitation and LAMOST Medium-resolution Spectrum Parameter Estimation
This repo contains the code, trained models and LAMOST-RRNet catalog for our paper A Model RRNet for Spectral Information Exploitation and LAMOST Medium-resolution Spectrum Parameter Estimation.
- PyTorch
- numpy
- pandas
- matplotlib
- sklearn
- jupyter
- Download website: https://doi.org/10.12149/101112 and https://github.com/Chan-0312/RRNet/releases.
- Please put
test_flux.pkl
,valid_flux.pkl
andtrain_flux.pkl
in thedata/refer_set/
directory andDR7MRS_RRNet_parametes.csv
in thedata/
directory.
- Training a new model:
python train.py
- Test:
python predict.py
- More examples can be found in the
jupyter/
directory.
- If you found this code useful please cite our paper:
@article{Xiong_2022,
title = {A Model {RRNet} for Spectral Information Exploitation and {LAMOST} Medium-resolution Spectrum Parameter Estimation},
author = {Shengchun Xiong and Xiangru Li and Caixiu Liao},
journal = {The Astrophysical Journal Supplement Series},
doi = {10.3847/1538-4365/ac76c6},
url = {https://doi.org/10.3847/1538-4365/ac76c6},
year = 2022,
month = {aug},
publisher = {American Astronomical Society},
volume = {261},
number = {2},
pages = {36},
}
@article{xiong2022rrnet,
title={A Model RRNet for Spectral Information Exploitation and LAMOST Medium-resolution Spectrum Parameter Estimation},
author={Xiong, Shengchun and Li, Xiangru and Liao, Caixiu},
journal={arXiv preprint arXiv:2205.15490},
year={2022}
}