MadNIS documentation

MadNIS is a Python library for neural importance sampling based on PyTorch.

You can find instructions on how to install and use MadNIS on the following pages:

• Installation

• First steps

• Multi-channel integration

• Integration settings

• Using the MadNIS flow library

The following pages contain a detailed reference of all the classes and methods in the madnis package:

• madnis.integrator package

• madnis.nn package

Citation

If you use this code or parts of it, please cite:

@article{Heimel:2023ngj,
  author = "Heimel, Theo and Huetsch, Nathan and Maltoni, Fabio and Mattelaer, Olivier and Plehn, Tilman and Winterhalder, Ramon",
  title = "{The MadNIS reloaded}",
  eprint = "2311.01548",
  archivePrefix = "arXiv",
  primaryClass = "hep-ph",
  reportNumber = "IRMP-CP3-23-56, MCNET-23-12",
  doi = "10.21468/SciPostPhys.17.1.023",
  journal = "SciPost Phys.",
  volume = "17",
  number = "1",
  pages = "023",
  year = "2024"}