Assessing Machine Learning Techniques for Identifying Field Line Resonance Frequencies From Cross-Phase Spectra
TLDR
This work surveys several supervised ML algorithms for identifying FLR frequencies by using measurements of the European quasi‐Meridional Magnetometer Array and evaluates the algorithm performance on four different station pairs, showing that tree‐based algorithms are robust and accurate models to achieve this goal.About:
This article is published in Journal of Geophysical Research.The article was published on 2021-05-01 and is currently open access. It has received 4 citations till now. The article focuses on the topics: Resonance & Phase (waves).read more
Citations
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Scaling laws for the energy transfer in space plasma turbulence
TL;DR: A detailed review of the main scaling laws for the energy transfer in plasma turbulence and their application is presented in this article , where the authors present theoretical, numerical and observational milestones for the characterization of turbulent dynamics and energetics in space plasmas.
Automated determination of electron density from electric field measurements on the Van Allen Probes spacecraft
TL;DR: In this paper, a feed-forward neural network is developed to determine the upper hybrid resonance frequency, fuhr, from electric field measurements, which is then used to calculate the electron number density.
Journal ArticleDOI
The CAESAR Project for the ASI Space Weather Infrastructure
Monica Laurenza,D. Del Moro,Tommaso Alberti,Roberto Battiston,Simone Benella,Federica Benvenuto,Francesco Berrilli,I. Bertello,B. Bertucci,L. Biasiotti,Cristina Campi,Vincenzo Carbone,Marco Casolino,Cesare Cecchi Pestellini,F Chiappetta,Igino Coco,Sabrina Colombo,Giuseppe Consolini,Raffaella D'Amicis,G. de Gasperis,R. De Marco,Alfredo Del Corpo,Piero Diego,V. Di Felice,L. Di Fino,Camilo Geronimo,Francesco Faldi,F. Ferrente,Chiara Feruglio,E. Fiandrini,Fabrizio Fiore,Raffaello Foldes,Valerio Formato,G Francisco,Fabio Giannattasio,Marco Giardino,P. Giobbi,Luca Giovannelli,Max Giusti,Amedeo Gorgi,Balázs Heilig,Gina Iafrate,Stavro Ivanovski,Giovanna Jerse,M. B. Korsós,Fabio Lepreti,Daniele Locci,Carmelo Magnafico,V. Mangano,Maria Federica Marcucci,Matteo Martucci,Stefano Massetti,Guisi Micela,Anna Milillo,Rositsa Miteva,Mattia Molinaro,R. Mugatwala,Alessandro Mauro,Gianluca Napoletano,Livio Narici,C. Neubüser,Giuseppe Nisticò,M. Pauluzzi,Alpha Domenico Perfetti,Silvia Perri,Alfredo Petralia,Michael Pezzopane,Mirko Piersanti,Ermanno Pietropaolo,Alessio Pignalberi,Christina Plainaki,G. Polenta,Leonardo Primavera,G. R. Romoli,Massimiliano Rossi,L. Santarelli,Giuliano Amantini,Frank Siciliano,Giuseppe Sindoni,Sabina Spadoni,Roberta Sparvoli,Mirko Stumpo,Nicola Tomassetti,Roberta Tozzi,V. Vagelli,N. Vasantharaju,A. Vecchio,Massimo Vellante,S. Vernetto,Carlo Vigorito,Misty West,George G. Zimbardo,Pietro Zucca,Francesca Zuccarello,Paolo Zuccon +94 more
TL;DR: In this paper , the authors present the project Comprehensive spAce wEather Studies for the ASPIS prototype Realization (CAESAR), which aims to tackle the relevant aspects of Space Weather (SWE) science and develop a prototype of the scientific data centre for Space Weather of the Italian Space Agency (ASI) called ASPIS.
Posted ContentDOI
XGBoost Algorithm for Estimating Equatorial Plasmaspheric Mass Density Using ULF Wave Measurements
TL;DR: In this paper, the authors employed Extreme Gradient Boosting (XGB) for identifying FLR frequencies by using measurements of the European quasi-Meridional Magnetometer Array (EMMA), and evaluated the algorithm performance on four different station pairs from L=2.4 to L=5.5.
References
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Machine learning
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