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Thésards 3ème année: Gaia Verna & Etienne Fortin


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ID de réunion : 961 0039 5873
Code: CPPM

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ID de réunion : 961 0039 5873
Code secret : 896013
    • 14:00 14:30
      Estimation of CTA potentiality in the search of galactic cosmic rays accelerators 30m

      The Cherenkov Telescope Array (CTA) will be the widest ground-based gamma-ray observatory using the imaging Cherenkov technique.
      CTA will be situated on both the Northern Hemisphere (La Palma on the Canary Islands) and the Southern Hemisphere (Atacama Desert, Chile) in order to cover the entire sky.
      One of CTA's key science projects is the search for galactic PeVatrons, extreme sources of accelerating cosmic particles that are expected to emit gamma rays above 100 TeV.
      CTA's sensitivity and in particular it’s capability to detect spectral features, i.e. spectral cutoff, in the multi-TeV region are crucial for this goal.
      We present spectral analysis of simulated gamma ray sources and the estimated CTA’s capability to detect spectral cutoffs at different energies.
      In order to optimize CTA's sensitivity for gammas at very high energies (E > 10 TeV) we have developed a dedicated reconstruction pipeline which includes telescopes' truncated images.
      We will present the results obtained for the CTA-North array which will be the first site to be finalized.
      We conclude with some perspectives for the future observation of existing PeVatron candidates, recently claimed by the HAWC collaboration, with the CTA-North array.

      Speaker: Gaia Verna
    • 14:30 15:00
      Upgrades of Liquide Argon Calorimeter for Hi-Lumi HLC 30m

      To be able to take data with the LHC at High luminosity ATLAS Liquid Calorimeter need to be upgraded in particular the readout-electronics.
      The upgrade will be done in two phase, phase 1 is now being commissioned and phase two begin to design the electronics.
      I will talk about the two upgrades, focusing on the control and monitoring of the phase 1 and researches of a new algorithm for phase 2 energy computing, base on a LSTM neural network. I will present the first result of such algorithm implemented in a FPGA stratix 10.

      Speaker: Etienne FORTIN (Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France)