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PAMELA - A Payload for Antimatter Matter Exploration and Light-nuclei Astrophysics

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arxiv astro-ph/0608697 v2 pith:THQNG4SW submitted 2006-08-31 astro-ph

P. Picozza , A.M. Galper , G. Castellini , O. Adriani , F. Altamura , M. Ambriola , G.C. Barbarino , A. Basili
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G.A. Bazilevskaja R. Bencardino M. Boezio E.A. Bogomolov L. Bonechi M. Bongi L. Bongiorno V. Bonvicini F. Cafagna D. Campana P. Carlson M. Casolino C. De Marzo M.P. De Pascale G. De Rosa D. Fedele P. Hofverberg S.V. Koldashov S.Yu. Krutkov A.N. Kvashnin J. Lund J. Lundquist O. Maksumov V. Malvezzi L. Marcelli W. Menn V.V. Mikhailov M. Minori S. Misin E. Mocchiutti A. Morselli N.N. Nikonov S. Orsi G. Osteria P. Papini M. Pearce M. Ricci S.B. Ricciarini M.F. Runtso S. Russo M. Simon R. Sparvoli P. Spillantini Yu.I. Stozhkov E. Taddei A. Vacchi E. Vannuccini S.A. Voronov Y.T. Yurkin G. Zampa N. Zampa V.G. Zverev
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keywords pamelaantiparticlesapparatuschargedparticlesperformancesystemallows
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The PAMELA experiment is a satellite-borne apparatus designed to study charged particles in the cosmic radiation with a particular focus on antiparticles. PAMELA is mounted on the Resurs DK1 satellite that was launched from the Baikonur cosmodrome on June 15th 2006. The PAMELA apparatus comprises a time-of-flight system, a magnetic spectrometer, a silicon-tungsten electromagnetic calorimeter, an anticoincidence system, a shower tail catcher scintillator and a neutron detector. The combination of these devices allows antiparticles to be reliably identified from a large background of other charged particles. This paper reviews the design, space qualification and on-ground performance of PAMELA. The in-orbit performance will be discussed in future publications.

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  1. GCR Spectra Reconstructed with Neutron Monitor Yield Function and Artificial Neural Networks: Comparison of Two Methods

    astro-ph.IM 2026-07 conditional novelty 5.0 of 10

    Neural networks trained on worldwide neutron-monitor counts plus solar indices reconstruct daily proton and helium cosmic-ray spectra for 2006–2022, matching PAMELA and AMS-02 data and beating a yield-function/force-f...

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