Particle identification using boosted decision trees in the semi-digital hadronic calorimeter prototype

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378271%3A_____%2F20%3A00539356" target="_blank" >RIV/68378271:_____/20:00539356 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1088/1748-0221/15/10/P10009" target="_blank" >https://doi.org/10.1088/1748-0221/15/10/P10009</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1088/1748-0221/15/10/P10009" target="_blank" >10.1088/1748-0221/15/10/P10009</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Particle identification using boosted decision trees in the semi-digital hadronic calorimeter prototype

Popis výsledku v původním jazyce

The CALICE Semi-Digital Hadronic CALorimeter (SDHCAL) prototype using Glass Resistive Plate Chambers as a sensitive medium is the first technological prototype of a family of high-granularity calorimeters developed by the CALICE collaboration to equip the experiments of future leptonic colliders. It was exposed to beams of hadrons, electrons and muons several times in the CERN PS and SPS beamlines between 2012 and 2018. We present here a new method of particle identification within the SDHCAL using the Boosted Decision Trees (BDT) method applied to the data collected in 2015. The performance of the method is tested first with Geant4-based simulated events and then on the data collected by the SDHCAL in the energy range between 10 and 80 GeV with 10 GeV energy steps. The BDT method is then used to reject the electrons and muons that contaminate the SPS hadron beams.

Název v anglickém jazyce

Particle identification using boosted decision trees in the semi-digital hadronic calorimeter prototype

Popis výsledku anglicky

The CALICE Semi-Digital Hadronic CALorimeter (SDHCAL) prototype using Glass Resistive Plate Chambers as a sensitive medium is the first technological prototype of a family of high-granularity calorimeters developed by the CALICE collaboration to equip the experiments of future leptonic colliders. It was exposed to beams of hadrons, electrons and muons several times in the CERN PS and SPS beamlines between 2012 and 2018. We present here a new method of particle identification within the SDHCAL using the Boosted Decision Trees (BDT) method applied to the data collected in 2015. The performance of the method is tested first with Geant4-based simulated events and then on the data collected by the SDHCAL in the energy range between 10 and 80 GeV with 10 GeV energy steps. The BDT method is then used to reject the electrons and muons that contaminate the SPS hadron beams.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10303 - Particles and field physics

Projekt

<a href="/cs/project/LTT17018" target="_blank" >LTT17018: Získávání nových poznatků o mikrosvětě v infrastruktuře CERN</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Instrumentation

ISSN

1748-0221

e-ISSN

—

Svazek periodika

15

Číslo periodika v rámci svazku

10

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

17

Strana od-do

1-17

Kód UT WoS článku

000577278000009

EID výsledku v databázi Scopus

2-s2.0-85094665262