PAMELA's measurements of geomagnetic cutoff variations during solar energetic particle events

Data from the PAMELA satellite experiment were used to measure the geomagnetic cutoff for high-energy ($\gtrsim$ 80 MeV) protons during the solar particle events on 2006 December 13 and 14. The variations of the cutoff latitude as a function of rigidity were studied on relatively short timescales, corresponding to single spacecraft orbits (about 94 minutes). Estimated cutoff values were cross-checked with those obtained by means of a trajectory tracing approach based on dynamical empirical modeling of the Earth's magnetosphere. We find significant variations in the cutoff latitude, with a maximum suppression of about 6 deg for $\sim$80 MeV protons during the main phase of the storm. The observed reduction in the geomagnetic shielding and its temporal evolution were compared with the changes in the magnetosphere configuration, investigating the role of IMF, solar wind and geomagnetic (Kp, Dst and Sym-H indexes) variables and their correlation with PAMELA cutoff results.Comment: Conference: The 34th International Cosmic Ray Conference (ICRC2015), 30 July - 6 August, 2015, The Hague, The Netherlands, Volume: PoS(ICRC2015)28

Deuteron spectrum measurements under radiation belt with PAMELA instrument

Abstract In this work the results of data analysis of the deuteron albedo radiation obtained in the PAMELA experiment are presented. PAMELA is an international space experiment carried out on board of the satellite Resurs DK-1. The high precision detectors allow to register and identify cosmic ray particles in a wide energy range. The albedo deuteron spectrum in the energy range 70 – 600 MeV/nucleon has been measured

H, He, Li and Be Isotopes in the PAMELA-Experiment

On the 15th of June 2006, the PAMELA satellite-borne experiment was launched from the Baikonur cosmodrome and it has been collecting data since July 2006. The apparatus comprises a time-of-flight system, a silicon-microstrip magnetic spectrometer, a silicon-tungsten electromagnetic calorimeter, an anti-coincidence system, a shower tail counter scintillator and a neutron detector. The scientific objectives addressed by the mission are the measurement of the antiprotons and positrons spectra in cosmic rays, the hunt for antinuclei as well as the determination of light nuclei fluxes from hydrogen to oxygen in a wide energy range and with very high statistics. In this paper the identification capability for light nuclei isotopes using two different detector systems (Time-of-Flight and multiple dE/dx measurements in the calorimeter) and preliminary results of the isotopic ratios will be presented

Features of re-entrant albedo deuteron trajectories in near earth orbit with pamela experiment

The results of trajectory reconstruction for re-entrant albedo deuteron fluxes obtained in the PAMELA experiment are presented in this work. PAMELA is an international experiment aimed on measureme ..

Electron Signal Induced by GRB 221009A on Charged Particle Telescopes of POES and MetOp Satellites

GRB 221009A is a long gamma-ray burst among the most energetic and nearest ( z = 0.151) detected so far. The energy fluence of the burst was so large to cause ionization of the upper layers of Earth’s atmosphere and also observable signals in satellite-borne particle detectors. Electron signals, with the same GRB time development, can arise from the interaction of energetic photons with the particle detector and support structures. This effect was previously reported for the HEPP-L on board the China Seismo-Electromagnetic Satellite. We searched for the same effect on the particle detectors on board five POES and MetOp satellites. Electron signals in coincidence with the gamma-ray emission of the burst were found in three satellites, which were well illuminated by the GRB. The properties of the found electron signals are reported and discussed

The hepd apparatus for the cses mission

The CSES (China Seismo-Electromagnetic Satellite) mission will investigate the structure and the dynamic of the topside ionosphere, will monitor electric and magnetic field and high energy particle fluctuations, searching for their correlations with the geophysical activity, in order to contribute to the monitoring of earthquakes from space. The High-Energy Particle Detector (HEPD) is one of the payloads of the CSES space mission, built by the Italian Limadou collaboration. Results of the test beams held at the Beam Test Facility of the INFN National Laboratory of Frascati, for electrons, and at the Proton Cyclotron of Trento, for protons, will be presented. © Copyright owned by the author(s)

Study on the high energy particle detector calorimeter

The High-Energy Particle Detector (HEPD) is one of the payloads of the CSES space mission, built by the Italian 'Limadou' collaboration. It will study the temporal stability of the inner Van Allen radiation belts, the precipitation of trapped particles in the atmosphere and the low energy component of the cosmic rays (5 - 100 MeV for electrons and 10 - 300 MeV for protons). Results of the test beams held at the Beam Test Facility of the INFN National Laboratory of Frascati, for electrons, and at the Proton Cyclotron of Trento, for protons, will be presented. The performance of the apparatus both on the energy reconstruction and in the lepton/hadron separation will be shown. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives 4.0 International License (CC BY-NC-ND 4.0)

Deep learning based event reconstruction for the Limadou High-Energy Particle Detector

none46Deep learning algorithms have gained importance in particle physics in the last few years. They have been shown to outperform traditional strategies in particle identification, tracking and energy reconstruction in the most modern high-energy physics experiments. The attractive feature of these techniques is their ability to model large dimensionality inputs and catch nontrivial correlations among the variables, which could be hidden or not easy to model. This paper focuses on the application of deep neural networks to the event reconstruction of the Limadou High-Energy Particle Detector on board the China Seismo-Electromagnetic Satellite. The core of the reconstruction chain is a set of fully connected neural networks that reconstructs the nature, the arrival direction and the kinetic energy of incoming electrons and protons, starting from the signals recorded in the detector. These networks are trained on a dedicated Monte Carlo simulation as representative as possible of real data. We describe the simulation, architecture and methodology adopted to design and train the networks, and finally report on the performance measured on simulated and flight data.noneBartocci, S.; Battiston, R.; Benotto, F.; Beolè, S.; Burger, W. J.; Campana, D.; Castellini, G.; Cipollone, P.; Coli, S.; Conti, L.; Contin, A.; Cristoforetti, M.; de Cilladi, L.; De Donato, C.; De Santis, C.; Follega, F. M.; Gebbia, G.; Iuppa, R.; Lolli, M.; Marcelli, N.; Martucci, M.; Masciantonio, G.; Mergè, M.; Mese, M.; Neubüser, C.; Nozzoli, F.; Oliva, A.; Osteria, G.; Pacini, L.; Palma, F.; Palmonari, F.; Parmentier, A.; Perfetto, F.; Picozza, P.; Piersanti, M.; Pozzato, M.; Ricci, E.; Ricci, M.; Ricciarini, S. B.; Sahnoun, Z.; Scotti, V.; Sotgiu, A.; Sparvoli, R.; Vitale, V.; Zoffoli, S.; Zuccon, P.Bartocci, S.; Battiston, R.; Benotto, F.; Beolè, S.; Burger, W.  J.; Campana, D.; Castellini, G.; Cipollone, P.; Coli, S.; Conti, L.; Contin, A.; Cristoforetti, M.; de Cilladi, L.; De Donato, C.; De Santis, C.; Follega, F.  M.; Gebbia, G.; Iuppa, R.; Lolli, M.; Marcelli, N.; Martucci, M.; Masciantonio, G.; Mergè, M.; Mese, M.; Neubüser, C.; Nozzoli, F.; Oliva, A.; Osteria, G.; Pacini, L.; Palma, F.; Palmonari, F.; Parmentier, A.; Perfetto, F.; Picozza, P.; Piersanti, M.; Pozzato, M.; Ricci, E.; Ricci, M.; Ricciarini, S.  B.; Sahnoun, Z.; Scotti, V.; Sotgiu, A.; Sparvoli, R.; Vitale, V.; Zoffoli, S.; Zuccon, P