11–12 Jun 2024
Plesso Berti Pichat
Europe/Rome timezone

Session

Tuesday afternoon: Part II

11 Jun 2024, 16:45
Room BP-2B (Plesso Berti Pichat)

Room BP-2B

Plesso Berti Pichat

Viale Carlo Berti Pichat 6, 40127, Bologna

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  1. Luca Tabarroni (Istituto Nazionale di Fisica Nucleare)
    11/06/2024, 16:45

    The growing demand for GPUs has led to rapid development of machine learning research techniques in all areas of science, including High Energy Physics. We present a study focused on the classification task of simulated electrons and protons detected by the HERD detector. HERD is a high-energy cosmic-ray detector based on a deep three-dimensional electromagnetic calorimeter, proposed to be...

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  2. Alessandro Bombini (Istituto Nazionale di Fisica Nucleare)
    11/06/2024, 17:10

    In the last few years, the rise of deep learning techniques has affected also the field on physics-based imaging applied to cultural heritage. One possible application of such techniques is the virtual digital restoration of pictorial artworks.

    Two main problems we face when exploring such landscape are

    1. The small dataset sizes (due to the slow pace of such analysis, as well as...
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  3. Fernando Garcia-Avello Bofias (Istituto Nazionale di Fisica Nucleare)
    11/06/2024, 17:35

    X-ray fluorescence (XRF) has been extensively utilized across various disciplines for an extended period. Despite the long-standing availability of fundamental physical parameters associated with the process, the extraction of elemental information from spectra remains
    predominantly a manual or algorithmic endeavor, given the spectral variations and inherent complexity in different fields of...

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