24 July 2022 to 2 August 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

30 Jul 2022, 20:00
House of International Conferences

House of International Conferences

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


Sergey Korpachev


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

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