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July 24, 2022 to August 2, 2022
House of International Conferences
Europe/Moscow timezone

Development of algorithm for prediction of parameters of secondaries in hadronic showers in highly granular calorimeters using a neural network

Jul 30, 2022, 8:00 PM
2h
House of International Conferences

House of International Conferences

Dubna, Russia
Board: 11
Poster (A1, preferably portrait orientation) Young Scientist Forum Poster Session

Speaker

Sergey Korpachev

Description

Simulations play an important role in high energy physics. They help to optimize detectors for experiments. We present a neural-network-based algorithm for prediction of parameters of secondaries in a hadronic shower using calorimetric observables. The method proposed was tested for two hadronic models of the Geant4 package.

Primary authors

Sergey Korpachev Marina Chadeeva (LPI)

Presentation materials