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2 results on '"Clarisse Hamadache"'

1. Investigation of a light Dark Boson existence: The New JEDI project

Author

Beyhan Bastin, Jürgen Kiener, Isabelle Deloncle, Alain Coc, Maxim Pospelov, Jaromir Mrazek, Livio Lamia, Dieter Ackermann, Philip Adsley, Charles-Olivier Bacri, Jérôme Bourçois, Vaclav Burjan, Anastasia Cassisa, Giuseppe D’agata, Gilles De France, Alessia Di Pietrio, Yasmine Demane, François De Oliveira, Lindsay Donaldson, Corinne Donzaud, Jean-Eric Ducret, Clarisse Hamadache, Fairouz Hammache, Pete Jones, Marco La Cognata, Adrien Laviron, Marek Lewitowicz, Kgashane Malatji, Antonio Massara, Cyril Pitrou, Rosario Gianluca Pizzone, Giovanni Luca Guardo, Marek Płoszajczak, Giuseppe Rapisarda, Bernadette Rebeiro, Brigitte Roussèire, Domenico Santonocito, Nicolas de Séréville, Maria Letizia Sergi, Eva Simeckova, Olivier Sorlin, Christelle Stodel, Vincent Tatischeff, Jean-Charles Thomas, Aurora Tumino, Grand Accélérateur National d'Ions Lourds (GANIL), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique des 2 Infinis Irène Joliot-Curie (IJCLab), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Institut de Physique des 2 Infinis de Lyon (IP2I Lyon), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Joseph Louis LAGRANGE (LAGRANGE), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur, and COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS)

Subjects
messenger, star, gas, anomaly, hidden sector, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], new particle
Abstract

Several experiments around the world are looking for a new particle, named Dark Boson, which may do the link between the Ordinary Matter (which forms basically stars, planets, interstellar gas...) and the Hidden Sectors of the Universe. This particle, if it exists, would act as the messenger of a new fundamental interaction of nature. In this paper, the underlying Dark Sectors theory will be introduced first. A non-exhaustive summary of experimental studies carried out to date and foreseen in the incoming years will be presented after,including the 8Be anomaly. The last section will provide a status of the New JEDI**** project which aims to investigate the existence or not of a Dark Boson in the MeV range.

Published
2022
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2. Optimization of CeBr$_3$ position-sensitive calorimeter module

Author

Clarisse Hamadache, Adrien Laviron, V. Tatischeff, Jean Peyré, Corentin Hiver, Valentin Gourlaouen, Jürgen Kiener, Laboratoire de Physique des 2 Infinis Irène Joliot-Curie (IJCLab), and Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)

Subjects
Artificial neural network, Nuclear and High Energy Physics, Test bench, Physics::Instrumentation and Detectors, Photodetector, Scintillator, 01 natural sciences, Collimated light, Optics, Position reconstruction, Position (vector), gamma-ray astronomy, 0103 physical sciences, Compton imaging, 010303 astronomy & astrophysics, Instrumentation, Physics, [PHYS]Physics [physics], Spatial resolution, 010308 nuclear & particles physics, business.industry, Detector, Scintillating calorimeter, Calorimeter, Theano, Cerium bromide, business
Abstract

International audience; For the next generation of MeV range gamma-ray telescopes, position sensitive calorimeters based on a monolithic scintillator coupled to a pixelated photodetector could be an important building block. In this paper, we present the optimization of the position reconstruction algorithms using machine learning, for a detector based on a 51×51×10mm3 CeBr 3 crystal. For that purpose, we used an automated test bench and collimated radioactive sources to generate experimental data of known energy and position by irradiating the detector with gamma rays. We found in these data different gamma-ray interaction morphologies for which position reconstruction algorithms perform differently, and we developed an algorithm to automatically classify them. We also conducted an extensive optimization of the artificial neural networks that perform the 3D position reconstruction using the Keras Python library with Theano backend. We found that at 662keV , 90% of events have a morphology that facilitates position reconstruction. The optimized position reconstruction algorithms give for those events a rms error in the plane of the detector of 1.8mm on each axis. The rms error in the depth of the crystal is found to be 2mm .

Published
2021
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