May 27 – 31, 2024
Chulalongkorn University
Asia/Bangkok timezone

Region of Interest Filter Optimization for the Deep Underground Neutrino Experiment (DUNE) Data Acquisition system

May 28, 2024, 3:15 PM
15m
Chulalongkorn University

Chulalongkorn University

Mahamakut Building, Faculty of Science, Chulalongkorn University
Parallel session Neutrino physics Parallel - 4

Speaker

Matthew Gar Jun Man (University of Toronto (CA))

Description

The Deep Underground Neutrino Experiment (DUNE) is the next generation neutrino experiment currently under construction. It consists of a broadband neutrino beam at Fermilab, a high precision near detector, and the largest liquid argon time projection chamber far detector ever designed at the Sanford Underground Research Facility (SURF).

The Region of Interest (ROI) filter is designed for DUNE’s online Data Acquisition (DAQ) system to address data rate constraints and enable low energy physics in the <10 MeV range. The filter employs zero suppression on the detector signal, and by tuning the readout window and threshold the data rates can be reduced by >90%. Performance of the ROI is analyzed in LArsoft on MARLEY generated low energy MC events propagated through the detector simulation. Notably, the optimized ROI filter enables a lower trigger threshold for readout at ~5-10 MeV, allowing DUNE to explore low-energy physics, specifically focusing on solar boron 8 neutrinos which are relevant in this energy range. This advancement enhances DUNE's scientific capabilities, opening avenues for detailed analyses of previously inaccessible low-energy neutrino interactions.

Primary author

Matthew Gar Jun Man (University of Toronto (CA))

Presentation materials