3-9 March 2020
HSE Study Center “Voronovo”
Europe/Moscow timezone

Using of neural network technology for improvement of energy resolution of highly granular hadron calorimeter

5 Mar 2020, 20:00
HSE Study Center “Voronovo”

HSE Study Center “Voronovo”

Voronovskoe, Moscow Russian Federation
Board: 10
Poster [portrait A1 or landscape A0] Young Scientist Forum Poster Session


Sergey Korpachev


The technology of highly granular calorimeters is one of the innovations that will be implemented in the planned accelerator experiments, for example in the future linear collider. The work is devoted to the study of hadronic showers in the highly granular hadron calorimeter of the ILD detector and the application of machine learning to the improvement of the energy resolution. The artificial neural network was built, the dependencies between the selected input variables were studied. The study was performed using the simulation of single hadrons with energies from 5 to 60 GeV in the ILD detector.

Primary authors

Sergey Korpachev Marina Chadeeva

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