16–22 giu 2024
Milano
Europe/Rome fuso orario

Track vs shower discrimination in the event reconstruction of the ICARUS experiment

18 giu 2024, 17:30
2O
Near Aula Magna (U6 building) (University of Milano-Bicocca)

Near Aula Magna (U6 building)

University of Milano-Bicocca

Piazza dell’Ateneo Nuovo 1, Milano, 20126
Poster New technologies for neutrino physics Poster session and reception 1

Relatore

Alice Campani (Istituto Nazionale di Fisica Nucleare)

Descrizione

The ICARUS collaboration has employed the 760-ton T600 liquid argon TPC detector in a successful three-year physics run at the underground LNGS laboratory, performing a sensitive search for LSND-like anomalous $\nu_e$ appearance in the CERN Neutrino to Gran Sasso beam, which contributed to the constraints on the allowed neutrino oscillation parameters to a narrow region around 1 eV$^2$. After a significant overhaul at CERN, the T600 detector has been installed at Fermilab. The detector commissioning phase lasted until June 2022, then ICARUS moved to data taking for neutrino oscillation physics collecting events from the Booster Neutrino Beam (BNB) and the Neutrinos at the Main Injector (NuMI) beam off-axis. The initial experiment goals are to either confirm or refute the claim by Neutrino-4 short-baseline reactor experiment, perform measurements of neutrino cross sections with the NuMI beam and several Beyond Standard Model searches. Then, ICARUS will jointly search for evidence of sterile neutrinos with the Short-Baseline Near Detector (SBND). In this contribution, we discuss recent changes to the standard TPC event reconstruction that uses Pandora, a pattern recognition software common to liquid argon-based detectors. In particular, we performed a new training of the Boosted Decision Tree (BDT) employed to separate track-like and shower-like reconstructed particles using Monte Carlo simulations of neutrino events from BNB in ICARUS. We compare the discrimination capabilities of the old and new BDT training and discuss further improvements of this algorithm.

Poster prize Yes
Given name Alice
Surname Campani
First affiliation Università degli studi di Genova
Second affiliation Istituto Nazionale di Fisica Nucleare - Sezione di Genova
Institutional email alice.campani@ge.infn.it
Gender Female
Collaboration (if any) ICARUS

Autori principali

Alice Campani (Istituto Nazionale di Fisica Nucleare) Lea Di Noto (Istituto Nazionale di Fisica Nucleare) Sergio Di Domizio (Istituto Nazionale di Fisica Nucleare) Stefano Dellepiane (Istituto Nazionale di Fisica Nucleare)

Materiali di presentazione