Conveners
Simulation, Geant4, PFA
- Frank Simon (Max-Planck-Institut fuer Physik)
Simulation, Geant4, PFA
- Frank Simon (Max-Planck-Institut fuer Physik)
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Makoto Asai (SLAC National Accelerator Laboratory (US))28/11/2019, 14:00
Geant4 is a software toolkit for the simulation of the passage of particles through matter. It is used by a large number of experiments and projects in a variety of application domains, including high energy physics, astrophysics and space science, medical physics and radiation protection. Over the past several years, along with the new Geant4 version 10 series, major changes have been made to...
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Prof. Vladimir Ivantchenko (CERN)28/11/2019, 14:20
Geant4 is the main software tool for the simulation of calorimeter response.
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In this work we report recent developments of Geant4 physics models, which
will be available in the coming version 10.6, scheduled for December 2019.
The main directions of Geant4 developments will be discussed: improvements
of physics model accuracy, technical modifications to increase CPU performance,
and user... -
Dr Tohru Takeshita (Shinshu university), Toru Takeshita (Shinshu University (JP)), Toru Takeshita (Shinshu University (JP))28/11/2019, 14:40
We have simulated the track length and the total energy deposited by high energy particles, and found a very good correlation between these two observables in large homogeneous calorimeter. A straight-line fit does not pass through the origin, but the intercept of energy deposited is proportional to the incident energy. Moreover, for both electrons and hadrons the slope of the straight line is...
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Fedor Ratnikov (Yandex School of Data Analysis (RU))28/11/2019, 15:00
Design of new experiments, as well as upgrade of ongoing ones, is a continuous process in the experimental high energy physics. Frontier R&Ds are used to squeeze the maximum physics performance using cutting edge detector technologies.
The evaluation of physics performance for particular configuration includes sketching this configuration in Geant, simulating typical signals and...
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Djamel Eddine Boumediene (Université Clermont Auvergne (FR))28/11/2019, 15:20
The CALICE Semi-Digital Hadron Calorimeter technological prototype that was completed in 2011 is a sampling calorimeter using Glass Resistive Plate Chamber detectors as the active medium. This technology is one of the two options proposed for the hadron calorimeter of the International Large Detector for the International Linear Collider. The prototype was exposed to beams of muons, electrons...
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Gerald Grenier (IP2I, CNRS, Univ Lyon 1 (FR))28/11/2019, 16:20
The current developments for future electron-positron colliders are driven by the Particle Flow concept. In these developments, high granularity calorimeters play a central role. This presentation will focus on a new Particle Flow Algorithme (PFA) developed for high granularity calorimeters, and especially for the Semi-Digital Hadronic CALorimeter (SDHCAL) option of the International Large...
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Antonio Di Pilato (Universita e INFN, Bari (IT))28/11/2019, 16:40
The CMS endcap calorimeter upgrade for high luminosity LHC in 2025 uses silicon sensors to achieve radiation tolerance, with the further benefit of a very high readout granularity. Small scintillator tiles with individual SiPM readout are used in regions permitted by the radiation levels. A reconstruction sequence is being developed to fully exploit the granularity and other significant...
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Oleksandr Viazlo (CERN)28/11/2019, 17:00
We present optimisation studies for detectors being designed for future e$^+$e$^-$ colliders such as CLIC and FCC-ee, using particle-flow calorimetry. Surrounding a large silicon tracker volume, a very fine-grained ECAL is envisaged, with 40 silicon-tungsten layers and a lateral segmentation of 5$\times$5 mm$^2$. Beyond the ECAL, a steel-scintillator HCAL is foreseen, with 60 layers (for CLIC)...
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Masako Iwasaki (Osaka City Univ. / RCNP, Osaka Univ.)28/11/2019, 17:20
We have developed an energy calibration method for the ILC SiD EM calorimeter (ECAL), a sampling calorimeter consisting with 30 Silicon-Tungsten layers, using machine learning.
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Our approach uses a deep neural network (DNN) in a regression problem to obtain the energy of the incident particle from the list of measured energy deposits (energy calibration).
The DNN is used to express the... -
Yuqiao Shen28/11/2019, 17:40
The Circular Electron Positron Collider (CEPC) is a proposed Higgs/Z factory. The photon reconstruction is critical to its physics program. We study the photon reconstruction at the CEPC baseline detector, a Particle Flow oriented detector. We characterized the objective performance at both single-photon and di-photon samples. At the single-photon sample, we quantify the photon conversion...
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