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Machine learning based tool for automated spectroscopic analysis of low-resolution data
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Examples for the Penalized Pixel Fitting (pPXF) method for full spectrum fitting
Free certification of cursorpro scripts for students 中国大陆可用
Interpretable Machine Learning for astronomical spectroscopy in PyTorch and JAX
Sujay-Shankar / blase3D
Forked from gully/blaseHybrid data/model-driven approach to astronomical echelle spectroscopy data built on PyTorch
This repo hosts the ANN spectral interpolators and IDL files for inversion.
SpectRes is a Python module which efficiently resamples spectra and their associated uncertainties onto an arbitrary wavelength grid. Read the documentation at
Python wrapper to process DESI data with FERRE
FERRE matches physical models to measurements
Radial velocity and stellar parameter fitting code for large surveys
Scripts and configuration for DESI Data Assemblies and Releases.
An introduction to DESI & Dark Energy for high schoolers with hot-off-the-telescope data! 🔭
Default set of Data Lab notebooks, by DL team and contributed by users
The tutorial on the DESI Milky Way Survey Value Added Catalogue.
Repository for GALAH Data Release 4 (Buder et al., 2024b)
Repository accompanying GALAH DR3 (Buder et al., 2021): https://ui.adsabs.harvard.edu/abs/2021MNRAS.506..150B
Generative and Interpretable Deep Learning for Stellar Spectra