BENCHMARK OF GENERATIVE ADVERSARIAL NETWORKS FOR FAST HEP CALORIMETER SIMULATIONS

9th International Conference "Distributed Computing and Grid Technologies in Science and Education", pp. 310–315

Abstract

Highly precise simulations of elementary particles interaction and processes are fundamental toaccurately reproduce and interpret the experimental results in High Energy Physics (HEP) detectorsand to correctly reconstruct the particle flows. Today, detector simulations typically rely on MonteCarlo-based methods which are extremely demanding in terms of computing resources. The need forsimulated data at future experiments - like the ones that will run at the High Luminosity Large HadronCollider (HL-LHC) - are expected to increase by orders of magnitude, increasing drastically thecomputational challenge. This expectation motivates the research for alternative deep learning-basedsimulation strategies.In this research we speed-up HEP detector simulations for the specific case of calorimeters usingGenerative Adversarial Networks (GANs) with a huge factor of over 150 000x compared to thestandard Monte Carlo simulations. This could only be achieved by designing smart convolutional 2Dnetwork architectures for generating 3D images representing the detector volume. Detailed physicsevaluation shows an accuracy similar to the Monte Carlo simulation.Furthermore, we quantize the data format for the neural network architecture (float32) with the IntelLow Precision Optimization tool (LPOT) to a reduced precision (int8) data format. This results in anadditional 1.8x speed-up on modern Intel hardware while maintaining the physics accuracy. Theseexcellent results consolidate the beneficial use of GANs for future fast detector simulations

Authors 4

1. Florian Rehm Aachen

   RWTH Aachen University · European Organization for Nuclear Research

   Affiliation as printed

   CERN , Esplanade des Particules 1 , Geneva , Switzerland

   RWTH Aachen University , Templergraben 55 , Aachen , Germany

   CERN, Esplanade des Particules 1, Geneva, Switzerland

   RWTH Aachen University, Templergraben 55, Aachen, Germany

2. Sofia Vallecorsa

   European Organization for Nuclear Research

   Affiliation as printed

   CERN , Esplanade des Particules 1 , Geneva , Switzerland

   CERN, Esplanade des Particules 1, Geneva, Switzerland

3. K. Borras Aachen

   RWTH Aachen University · Deutsches Elektronen-Synchrotron DESY

   Affiliation as printed

   DESY , Notkestraße 85 , Hamburg , Germany

   RWTH Aachen University , Templergraben 55 , Aachen , Germany

   DESY, Notkestraße 85, Hamburg, Germany

   RWTH Aachen University, Templergraben 55, Aachen, Germany

4. Dirk Krücker

   Deutsches Elektronen-Synchrotron DESY

   Affiliation as printed

   DESY , Notkestraße 85 , Hamburg , Germany

   DESY, Notkestraße 85, Hamburg, Germany