stellar-spectra
deep-multimodal-representation-learning-for-stellar-spectraDataset used in the paper "Deep Multimodal Representation Learning for Stellar Spectra".
Dataset of Milky Way stars based on selection from https://ui.adsabs.harvard.edu/abs/2024A&A...682A...9G,
which is based on ESA/Gaia/DPAC and APOGEE surveys.
This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia),
processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium).
Funding… See the full description on the dataset page: https://huggingface.co/datasets/christianschwarz/deep-multimodal-representation-learning-for-stellar-spectra.sspp-dr9-stellar-spectra
SDSS SSPP DR9 Stellar Spectra Dataset
Dataset Summary
This dataset contains 233,013 stellar spectra from the
Sloan Digital Sky Survey (SDSS) Stellar Parameter Pipeline (SSPP) DR9,
cross-matched with SEGUE1/SEGUE2 spectroscopic observations.
Each sample contains a flux-calibrated 1D spectrum (3,878 wavelength bins,
~3,820–9,200 Å) plus stellar atmospheric parameters measured by the SSPP.
Data Source
Field
Value
Survey
SDSS SEGUE (DR9)… See the full description on the dataset page: https://huggingface.co/datasets/OneAstronomy/sspp-dr9-stellar-spectra.stellar-spectral-data-shard-14stellar-spectral-data-shard-14stellar-spectral-data-shard-14stellar-spectral-data-shard-14