\(y_0\)

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.

Contents:

• Installation
• Application Programming Interface

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

import torch

torch.cuda.is_available()

Indices and tables

• Index

• Module Index

• Search Page