SIREN and multi-experiment inference

At the intensity frontier we search for extremely rare interactions from a wide array of models. Not only is it challenging to test all of them, but a discovery of new physics will require validation across many experiments. SIREN is an open-source injection and weighting framework that makes it easy to inject new BSM scenarios across many experiments. It efficiently simulates rare processes in any detector geometry, and is compatible with a wide range of BSM models and rare SM processes.

Recent SIREN releases add support for a wider range of detectors, native GDML import, integration with the DarkNews and Marley generators, and export to the NuHepMC3 format.

SIREN Paper: Comput. Phys. Commun. 316, 109799 (2025).
GitHub Repository: https://github.com/Harvard-Neutrino/SIREN