The ynot project aims to improve the astronomical echelle spectroscopy data reduction process through three key ideas:

  1. Propagating the native pixel uncertainty, without interpolating noisy pixels

  2. Employing an interpretable model in which all parameters are varied at the same time

  3. Encouraging extensibility and modularity for a wide range of scientific applications

We invite you to engage with us at our GitHub page, with pull requests and discussions welcomed.

Currently this project requires NVIDIA GPUs. To check if you have a GPU available:

import torch


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