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International Conference on Computational Science and Its Applications

ICCSA 2014: Computational Science and Its Applications – ICCSA 2014 pp 554–570Cite as

The Escape Probability of Some Ions from Mars and Titan Ionospheres

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8579))

Abstract

The Kinetic Energy Release (KER) for various ionic species coming from two-body dissociations reactions, induced by double photoionization of CO2, C2H2 and N2O neutral precursors of interest in planetary atmospheres, are reported. The KER distributions as a function of the VUV photon energy in the range of 30-65 eV are extracted from the coincidences spectra obtained by using tunable synchrotron radiation and electron-ion-ion coincidences coupled with ion imaging techniques. This experimental method, coupled with a computational analysis of the data based on a Monte Carlo trajectoriy simulation, allows to discuss about the probability for some ionic species to escape the upper atmosphere of Mars and Titan. In fact, the KER measured for H + , C + , CH + , CH\(_{\rm 2}^{\rm +}\), N + , O +  and CO +  fragment ions are ranging between 1.0 and 6.0 eV, and these translational energy contents are large enough to allow these ionic species in participating in the atmospheric escape from Mars and Titan into space.

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Author information

Authors and Affiliations

  1. Department of Civil and Environmental Engineering, University of Perugia, Via G. Duranti 93, 06125, Perugia, Italy

    Stefano Falcinelli, Marzio Rosi, Pietro Candori & Franco Vecchiocattivi

  2. Department of Chemistry, University of Rochester, Rochester, NY, 14627, USA

    James M. Farrar

  3. ISTM-CNR, University of Perugia, Via Elce di Sotto 8, 06123, Perugia, Italy

    Marzio Rosi

  4. Department of Chemistry, Biology and Biotechnology, University of Perugia, Via Elce di Sotto, 8, 06123, Perugia, Italy

    Fernando Pirani & Nadia Balucani

  5. IOM CNR Laboratorio TASC, 34012, Trieste, Italy

    Michele Alagia & Stefano Stranges

  6. Sincrotrone Trieste, Area Science Park, 34149, Basovizza, Trieste, Italy

    Robert Richter

  7. Department of Chemistry and Drug Technology, University of Rome “La Sapienza”, 00185, Rome, Italy

    Stefano Stranges

Authors
  1. Stefano Falcinelli
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  2. Marzio Rosi
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  5. James M. Farrar
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  6. Fernando Pirani
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  7. Nadia Balucani
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  8. Michele Alagia
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Editor information

Editors and Affiliations

  1. School of Engineering, University of Basilicata, 85100, Potenza, Italy

    Beniamino Murgante

  2. Department of Computer and Information Sciences, Covenant University, Ota, Nigeria

    Sanjay Misra

  3. Department of Production and Systems, University of Minho, 4710-057, Braga, Portugal

    Ana Maria A. C. Rocha

  4. DICAR, Polytecnico di Bari, 70125, Bari, Italy

    Carmelo Torre

  5. University of Minho, Braga, Portugal

    Jorge Gustavo Rocha  & Maria Irene Falcão  & 

  6. Monash University, 3800, Clayton, VIC, Australia

    David Taniar

  7. Department of Intelligent Informatics, Kyushu Sangyo University, 2-3-1 Matsukadai, 813-8503, Higashi-ku, Fukuoka, Japan

    Bernady O. Apduhan

  8. Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli, 1, 06123, Perugia, Italy

    Osvaldo Gervasi

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Falcinelli, S. et al. (2014). The Escape Probability of Some Ions from Mars and Titan Ionospheres. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2014. ICCSA 2014. Lecture Notes in Computer Science, vol 8579. Springer, Cham. https://doi.org/10.1007/978-3-319-09144-0_38

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  • DOI: https://doi.org/10.1007/978-3-319-09144-0_38

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09143-3

  • Online ISBN: 978-3-319-09144-0

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