ACAT 2021

Session

Lightning talks session

3 Dec 2021, 15:50

Auditorium (Virtual and IBS Science Culture Center, Daejeon, South Korea)

Conveners

Lightning talks session

• Doris Yangsoo Kim (Soongsil University)
• Monique Werlen (EPFL - Ecole Polytechnique Federale Lausanne (CH))
• Andrey Arbuzov (Joint Institute for Nuclear Research (RU))
• Monique Werlen

540. Signal to background discrimination for the production of double Higgs boson events via vector boson fusion mechanism in the decay channel with four charged leptons and two b-jets in the final state at the LHC experiment (contribution ID 540)

Ms Brunella D'Anzi (Universita e INFN, Bari (IT))

03/12/2021, 15:50

Track 2: Data Analysis - Algorithms and Tools

Poster

Artificial Neural Networks in High Energy Physics: introduction and goals

Nowadays High Energy Physics (HEP) analyses take generally advantages of the implementation of Machine Learning techniques to optimize the discrimination between signal and background, preserving as much signal as possible. Running a classical cut-based selection would imply a severe reduction of both signal and...

585. NA61/SHINE online noise filtering using machine learning methods (contribution ID 585)

Anna Kawecka (Warsaw University of Technology (PL))

03/12/2021, 16:00

Track 2: Data Analysis - Algorithms and Tools

Poster

NA61/SHINE is a high-energy physics experiment operating at the SPS accelerator at CERN. The physics programme of the experiment was recently extended, requiring a major upgrade of the detector setup. The main goal of the upgrade is to increase the event flow rate from 80Hz to 1kHz by exchanging the read-out electronics of the NA61/SHINE main tracking detectors (Time-Projection-Chambers -...

669. Reconstruction and Particle Identification with CYGNO Experiment (contribution ID 669)

Atul Prajapati (Gran Sasso Science Institute)

03/12/2021, 16:10

Track 2: Data Analysis - Algorithms and Tools

Poster

CYGNO is developing a gaseous Time Projection Chamber (TPC) for directional dark matter searches, to be hosted at Laboratori Nazionali del Gran Sasso (LNGS), Italy. CYGNO uses He:CF4 gas mixture at atmospheric pressure and relies on Gas Electron Multipliers (GEMs) stack for the charge amplification. Light is produced by the electrons avalanche thanks to the CF4 scintillation properties and is...