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1.
Exploring deep learning as an event classification method for the Cherenkov Telescope Array
Marko Zavrtanik, Danilo Zavrtanik, Gabrijela Zaharijas, Lili Yang, Serguei Vorobiov, Samo Stanič, Gašper Kukec Mezek, Christopher Eckner, D. Nieto, 2017, objavljeni znanstveni prispevek na konferenci

Najdeno v: ključnih besedah
Ključne besede: CTA, event classification, deep learning
Objavljeno: 16.02.2018; Ogledov: 1781; Prenosov: 101
.pdf Polno besedilo (313,07 KB)

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Localisation and classification of gamma ray sources using neural networks
Guõlaugur Jóhannesson, Roberto Ruiz de Austri, Gabrijela Zaharijas, Sascha Caron, Boris Panes, Saptashwa Bhattacharyya, Chris van den Oetelaar, 2021, objavljeni znanstveni prispevek na konferenci

Opis: With limited statistics and spatial resolution of current detectors, accurately localising and separating gamma-ray point sources from the dominating interstellar emission in the GeV energy range is challenging. Motivated by the challenges of the traditional methods used for the gamma-ray source detection, here we demonstrate the application of deep learning based algorithms to automatically detect and classify point sources, which can be applied directly to the binned Fermi-LAT data and potentially be generalised to other wavelengths. For the point source detection task, we use popular deep neural network structure U-NET, together with image segmentation, for precise localisation of sources, various clustering algorithms were tested on the segmented images. The training samples are based on the source properties of AGNs and PSRs from the latest Fermi-LAT source catalog, in addition to the background interstellar emission. Finally, we have created a more complex but robust training data generation exploiting full detector potential, increasing spatial resolution at the highest energies.
Najdeno v: ključnih besedah
Povzetek najdenega: ...detection, here we demonstrate the application of deep learning based algorithms to automatically detect and...
Ključne besede: gamma-rays, deep learning, computer vision
Objavljeno: 01.10.2021; Ogledov: 114; Prenosov: 2
URL Polno besedilo (0,00 KB)
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