CYGNO-SISSA collaboration
IFPU
16-20 June 2025
Abstract:
Our ongoing discussions with members of the Gran Sasso Science Institute (GSSI), specifically Elisabetta Baracchini (CYGNO experiment leader) have lead to a fantastic collaborative opportunity to lend local machine learning (ML) expertise in underground directional dark matter (DM) detectors to the CYGNO (a CYGNus module with Optical readout) collaboration. We propose a Team Research week, in which selected invitees from GSSI working on the CYGNO dark matter experiment come to IFPU to thoroughly engage in hands on R&D for the future machine learning (ML) analysis program for the detector. The proposed program aims to commence a collaborative initiative between local SISSA members in the TSDS (AstroML) group and members of the CYGNO collaboration. Generally, we wish to advance the capabilities of the CYGNO detector by developing novel ML pipelines that enhance the directionality and interaction localisation of particle tracks at low energy thresholds. This focuses on achieving directional reconstruction of tracks below 20-30 keV (for nuclear recoils, or NRs), a significant challenge not yet achieved within the community. These advancements will significantly contribute to the detection sensitivity and accuracy of the CYGNO detector in identifying rare events, and discriminate between dark matter and neutrino interactions, a crucial step for potentially discovering dark matter in the neutrino fog. Furthermore, the breakthroughs discussed in this meeting could represent a fundamental leap in the experiment’s overall effectiveness and operational success. This meeting also represent a valuable opportunity to forge connections between two Scuole Superiori and between ML and experimentalist experts.
Organisers:
- Martin De Los Rios (SISSA)
- Andre Scaffidi (SISSA)
- Roberto Trotta (SISSA)
Participants:
- TBA