# Simulating the LHCb hadron calorimeter with generative adversarial networks

Lancierini, D; Owen, P; Serra, Nicola (2019). Simulating the LHCb hadron calorimeter with generative adversarial networks. Il nuovo cimento 42 C, University of Zurich.

## Abstract

Generative adversarial networks are known as a tool for fast simulation of data. Our aim is to research and develop a physical application of these tools by simulating LHCb hadron calorimeter (HCAL) in order to speed up the Monte Carlo datasets production.

## Abstract

Generative adversarial networks are known as a tool for fast simulation of data. Our aim is to research and develop a physical application of these tools by simulating LHCb hadron calorimeter (HCAL) in order to speed up the Monte Carlo datasets production.

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