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Fermi Gamma-ray Space Telescope

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arxiv 2210.12875 v3 pith:WRDCRDL3 submitted 2022-10-23 astro-ph.HE

classification astro-ph.HE
keywords gamma-rayfermitelescopeenergyincludinginstrumentsrangeview
verification ladder T0 review T1 audit T2 compute T3 formal
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The Fermi Gamma-ray Space Telescope, a key mission in multiwavelength and multimessenger studies, has been surveying the gamma-ray sky from its low-Earth orbit since 2008. Its two scientific instruments, the Gamma-ray Burst Monitor (GBM) and the Large Area Telescope (LAT), cover 8 orders of magnitude in photon energy. The GBM consists of 12 Sodium Iodide detectors and 2 Bismuth Germinate detectors, covering the 10 keV - 40 MeV energy range, arrayed on two sides of the spacecraft so as to view the entire sky that is not occulted by the Earth. The LAT is a pair production telescope based on silicon strip trackers, a Cesium Iodide calorimeter, and a plastic scintillator anticoincidence system. It covers the energy range from about 20 MeV to more than 500 GeV, with a field of view of about 2.4 steradians. Thanks to their huge fields of view, the instruments can observe the entire sky with a cadence of about an hour for GBM and about three hours for LAT. All gamma-ray data from Fermi become public immediately, enabling a broad range of multiwavelength and multimessenger research. Over 3000 gamma-ray bursts (GRBs), including GRB 170817A associated with a neutron star merger detected in gravitational waves, and 5000 high-energy sources, including the blazar TXS 0506+056 associated with high-energy neutrinos, have been detected by the Fermi instruments. The Fermi Science Support Center provides a wide array of resources to enable scientific use of the data, including background models, source catalogs, analysis software, documentation, and a Help Desk.

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Cited by 1 Pith paper

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    astro-ph.IM 2025-07 conditional novelty 4.0 of 10

    In simulated GRB detection, quantum fingerprinting encoding consistently outperforms data reuploading, confirming that data encoding choice dominates QML performance.

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