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Solar Particle Radiation Storms Forecasting and Analysis
  • Language: en
  • Pages: 210

Solar Particle Radiation Storms Forecasting and Analysis

  • Type: Book
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  • Published: 2018-02-01
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  • Publisher: Springer

Solar energetic particles (SEPs) emitted from the Sun are a major space weather hazard motivating the development of predictive capabilities. This book presents the results and findings of the HESPERIA (High Energy Solar Particle Events forecasting and Analysis) project of the EU HORIZON 2020 programme. It discusses the forecasting operational tools developed within the project, and presents progress to SEP research contributed by HESPERIA both from the observational as well as the SEP modelling perspective. Using multi-frequency observational data and simulations HESPERIA investigated the chain of processes from particle acceleration in the corona, particle transport in the magnetically com...

Cosmic Ray Physics
  • Language: en
  • Pages: 325

Cosmic Ray Physics

  • Type: Book
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  • Published: 2023-03-23
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  • Publisher: CRC Press

Key features: Complete introductory overview of cosmic ray physics Covers the origins, acceleration, transport mechanisms and detection of these particles Mathematical and technical detail is kept separate from the main text

Coronal and Stellar Mass Ejections (IAU S226)
  • Language: en
  • Pages: 544

Coronal and Stellar Mass Ejections (IAU S226)

Proceedings of the IAU Symposium on Coronal and Stellar Mass Ejections.

Proceedings
  • Language: en
  • Pages: 520

Proceedings

  • Type: Book
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  • Published: 2005
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  • Publisher: Unknown

None

Solar Particle Radiation Storms Forecasting and Analysis
  • Language: en
  • Pages: 208

Solar Particle Radiation Storms Forecasting and Analysis

  • Type: Book
  • -
  • Published: 2020-10-08
  • -
  • Publisher: Unknown

Solar energetic particles (SEPs) emitted from the Sun are a major space weather hazard motivating the development of predictive capabilities. This book presents the results and findings of the HESPERIA (High Energy Solar Particle Events forecasting and Analysis) project of the EU HORIZON 2020 programme. It discusses the forecasting operational tools developed within the project, and presents progress to SEP research contributed by HESPERIA both from the observational as well as the SEP modelling perspective. Using multi-frequency observational data and simulations HESPERIA investigated the chain of processes from particle acceleration in the corona, particle transport in the magnetically com...

Cosmic Rays in the Earth’s Atmosphere and Underground
  • Language: en
  • Pages: 891

Cosmic Rays in the Earth’s Atmosphere and Underground

The present monograph as well as the next one (Dorman, M2005) is a result of more than 50 years working in cosmic ray (CR) research. After graduation in December 1950 Moscow Lomonosov State University (Nuclear and Elementary Particle Physics Division, the Team of Theoretical Physics), my supervisor Professor D. I. Blokhintsev planned for me, as a winner of a Red Diploma, to continue my education as an aspirant (a graduate student) to prepare for Ph. D. in his very secret Object in the framework of what was in those time called the Atomic Problem. To my regret the KGB withheld permission, and I, together with other Jewish students who had graduated Nuclear Divisions of Moscow and Leningrad Un...

Proceedings of the Twenty Seventh General Assembly Rio de Janeiro 2009
  • Language: en
  • Pages: 548

Proceedings of the Twenty Seventh General Assembly Rio de Janeiro 2009

A complete record of the formal organisational and administrative proceedings of the XXVII General Assembly of the International Astronomical Union.

Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their Applications
  • Language: en
  • Pages: 638

Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their Applications

Data processing has become essential to modern civilization. The original data for this processing comes from measurements or from experts, and both sources are subject to uncertainty. Traditionally, probabilistic methods have been used to process uncertainty. However, in many practical situations, we do not know the corresponding probabilities: in measurements, we often only know the upper bound on the measurement errors; this is known as interval uncertainty. In turn, expert estimates often include imprecise (fuzzy) words from natural language such as "small"; this is known as fuzzy uncertainty. In this book, leading specialists on interval, fuzzy, probabilistic uncertainty and their combination describe state-of-the-art developments in their research areas. Accordingly, the book offers a valuable guide for researchers and practitioners interested in data processing under uncertainty, and an introduction to the latest trends and techniques in this area, suitable for graduate students.

Long-term Datasets for the Understanding of Solar and Stellar Magnetic Cycles (IAU S340)
  • Language: en
  • Pages: 500

Long-term Datasets for the Understanding of Solar and Stellar Magnetic Cycles (IAU S340)

The Sun is our nearest star; it is a dynamic star, which changes with time. Solar variations have significant influence on Earth's space environment and climate through the Sun's magnetic field, irradiation and energetic particles. Long-term and reliable historical datasets of solar and stellar activity indices are crucial for understanding the variations and predicting the future solar cycle. IAU Symposium 340 brings together scientists from diverse, interdisciplinary areas to address the latest discoveries from these long-term datasets for the understanding of solar and stellar magnetic cycles. They make comparisons between different datasets and discuss how to make uniform databases. The proceedings of IAU S340 contain a selection of presentations and reviews from internationally renowned experts. They provide an up to date account of this field of importance to researchers and advanced students in solar, stellar, space and heliospheric physics.