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

21 Jun 2024, 17:30
2h
Near Aula Magna (U6 building) (University of Milano-Bicocca)

Near Aula Magna (U6 building)

University of Milano-Bicocca

Poster Supernova neutrinos Poster session and reception 2

Speaker

Matthew Man (University of Toronto)

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.

Poster prize Yes
Given name Matthew
Surname Man
First affiliation University of Toronto
Institutional email matthew.man@utoronto.ca
Gender Male

Primary author

Matthew Man (University of Toronto)

Presentation materials