scholarly journals Fast simulation of the LHCb electromagnetic calorimeter response using VAEs and GANs

2021 ◽  
Vol 1740 ◽  
pp. 012028
Author(s):  
Fedor Sergeev ◽  
Nikita Jain ◽  
Ivan Knunyants ◽  
George Kostenkov ◽  
Ekaterina Trofimova
Keyword(s):  
Electromagnetic Calorimeter ◽  
Fast Simulation ◽  
Calorimeter Response

scholarly journals Fast simulation of the electromagnetic calorimeter response using Self-Attention Generative Adversarial Networks

2021 ◽  
Vol 251 ◽  
pp. 03043
Author(s):  
Fedor Ratnikov ◽  
Alexander Rogachev
Keyword(s):  
Network Architecture ◽  
High Energy Physics ◽  
Hadron Collider ◽  
High Energy ◽  
Electromagnetic Calorimeter ◽  
Generative Adversarial Networks ◽  
Fast Simulation ◽  
Generative Adversarial Network ◽  
Adversarial Network ◽  
Adversarial Networks

Simulation is one of the key components in high energy physics. Historically it relies on the Monte Carlo methods which require a tremendous amount of computation resources. These methods may have difficulties with the expected High Luminosity Large Hadron Collider need, so the experiment is in urgent need of new fast simulation techniques. The application of Generative Adversarial Networks is a promising solution to speed up the simulation while providing the necessary physics performance. In this paper we propose the Self-Attention Generative Adversarial Network as a possible improvement of the network architecture. The application is demonstrated on the performance of generating responses of the LHCb type of the electromagnetic calorimeter.

scholarly journals Investigation of the electromagnetic calorimeter response function by cosmic muons

2019 ◽  
Vol 204 ◽  
pp. 07004
Author(s):  
Dmitriy Sakulin ◽  
Sergey Afanasev
Keyword(s):  
Experimental Data ◽  
Response Function ◽  
Electromagnetic Calorimeter ◽  
Absorbed Energy ◽  
Cosmic Muons ◽  
Calorimeter Response

In this work, the passage of cosmic muons in calorimetric modules was simulated. The coefficients for converting signal amplitudes into absorbed energy of a passing particle were obtained. The data collected during the exposure of the electromagnetic calorimeter to cosmic muons were analyzed. The results of the analysis were used to process the experimental data obtained in the interaction of carbon, argon and krypton at 3.5 GeV/nucleon energy with different targets.

Fast Simulation Model for Doubly-fed Wind Generation Systems

2012 ◽  
Vol 132 (5) ◽  
pp. 459-467 ◽  
Author(s):  
Fujihiro Yamada ◽  
Suresh Chand Verma ◽  
Shuhei Fujiwara ◽  
Masashi Kitayama ◽  
Yoshiyuki Kono
Keyword(s):  
Simulation Model ◽  
Wind Generation ◽  
Fast Simulation ◽  
Doubly Fed

The Energy Response of Calorimeters

2018 ◽  
Author(s):  
Richard Wigmans
Keyword(s):  
Sampling Frequency ◽  
Integration Time ◽  
Signal Integration ◽  
Energy Response ◽  
Absorption Process ◽  
Active Materials ◽  
Unit Energy ◽  
Sampling Fraction ◽  
Signal Integration Time ◽  
Calorimeter Response

This chapter deals with the signals produced by particles that are being absorbed in a calorimeter. The calorimeter response is defined as the average signal produced per unit energy deposited in this absorption process, for example in terms of picoCoulombs per GeV. Defined in this way, a linear calorimeter has a constant response. Typically, the response of the calorimeter depends on the type of particle absorbed in it. Also, most calorimeters are non-linear for hadronic shower detection. This is the essence of the so-called non-compensation problem, which has in practice major consequences for the performance of calorimeters. The origins of this problem, and its possible solutions are described. The roles of the sampling fraction, the sampling frequency, the signal integration time and the choice of the absorber and active materials are examined in detail. Important parameters, such as the e/mip and e/h values, are defined and methods to determine their value are described.

scholarly journals Design and Beam Test Results for the 2-D Projective sPHENIX Electromagnetic Calorimeter Prototype

2021 ◽  
Vol 68 (2) ◽  
pp. 173-181
Author(s):  
C. A. Aidala ◽  
S. Altaf ◽  
R. Belmont ◽  
S. Boose ◽  
D. Cacace ◽  
...  
Keyword(s):  
Electromagnetic Calorimeter ◽  
Test Results ◽  
Beam Test
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