22–25 Aug 2023
Tufts University
America/New_York timezone

Connecting the Dots: Using Multidetector Inputs in Machine Learning

23 Aug 2023, 14:20
25m
Tufts University

Tufts University

4th Floor Tufts Collaborative Learning and Innovation Center (CLIC) 574 Boston Ave, Medford, MA 02155 Zoom link: https://tufts.zoom.us/j/94932630273?pwd=Z3VSK3A2Tmx2a21uaDdsVHRSenU1dz09 Meeting ID: 949 3263 0273 Passcode: 880336
Individual Talk Session 4

Speaker

Jessie Micallef (IAIFI at MIT and Tufts)

Description

The DUNE experiment expects to make some of the most precise measurements of neutrino oscillation parameters by using a neutrino beam originating at Fermilab and measuring it at the Sanford Underground Research Facility (SURF). To accomplish this, novel techniques are being used in both the near- and far-detector designs. Notably, the Liquid Argon Time Projection Chamber (LArTPC) near-detector uses a unique modularized design. A subset of the design, a prototype 2x2 module, is undergoing testing at Fermilab and expects to take data this year using the same beamline that the full DUNE experiment will use. In addition, the MINERvA detector has been repurposed to be used both upstream and downstream of the prototype 2x2. This work outlines efforts that have been made to utilize input from both the 2x2 prototype and MINERvA detectors to accomplish machine learning identification of the particle interactions.

Primary author

Jessie Micallef (IAIFI at MIT and Tufts)

Presentation materials