Search Publications

Magnetic field turbulence in the solar wind at sub-ion scales: in situ observations and numerical simulations
DOI: 10.3389/fspas.2020.563075 Bibcode: 2020FrASS...7...83M

Hellinger, P.; Alexandrova, O.; Matteini, L. +5 more

We investigate the transition of the solar wind turbulent cascade from MHD to sub-ion range by means of a detail comparison between in situ observations and hybrid numerical simulations. In particular we focus on the properties of the magnetic field and its component anisotropy in Cluster measurements and hybrid 2D simulations. First, we address t…

2020 Frontiers in Astronomy and Space Sciences
Cluster 32
Automatic classification of plasma regions in near-Earth space with supervised machine learning: application to Magnetospheric Multi Scale 2016-2019 observation
DOI: 10.3389/fspas.2020.00055 Bibcode: 2020FrASS...7...55B

Breuillard, Hugo; Lapenta, Giovanni; Dupuis, Romain +3 more

The proper classification of plasma regions in near-Earth space is crucial to perform unambiguous statistical studies of fundamental plasma processes such as shocks, magnetic reconnection, waves and turbulence, jets and their combinations. The majority of available studies have been performed by using human-driven methods, such as visual data sele…

2020 Frontiers in Astronomy and Space Sciences
Cluster 31
Cluster and MMS simultaneous observations of magnetosheath high speed jets and their impact on the magnetopause
DOI: 10.3389/fspas.2019.00078 Bibcode: 2020FrASS...6...78E

Russell, C. T.; Berchem, J.; Dandouras, I. +34 more

Discontinuities in the solar wind, bow shock ripples or ionized dust clouds carried by the solar wind, high speed jets (HSJs) are observed in the magnetosheath. These HSJs have typically a Vx component larger than 200 km s-1 and their dynamic pressure can be a few times the solar wind dynamic pressure. We use a conjunction of Cluster and MMS, cros…

2020 Frontiers in Astronomy and Space Sciences
Cluster 28
Using dimensionality reduction and clustering techniques to classify space plasma regimes
DOI: 10.3389/fspas.2020.593516 Bibcode: 2020FrASS...7...80B

Verscharen, Daniel; Walsh, Andrew P.; Rae, I. Jonathan +2 more

Collisionless space plasma environments are typically characterised by distinct particle populations. Although moments of their velocity distribution functions help in distinguishing different plasma regimes, the distribution functions themselves provide more comprehensive information about the plasma state, especially at times when the distributi…

2020 Frontiers in Astronomy and Space Sciences
Cluster 7
Domain of Influence analysis: implications for Data Assimilation in space weather forecasting
DOI: 10.3389/fspas.2020.571286 Bibcode: 2020FrASS...7...73M

Poedts, Stefaan; Lapenta, Giovanni; Innocenti, Maria Elena +3 more

Solar activity, ranging from the background solar wind to energetic coronal mass ejections (CMEs), is the main driver of the conditions in the interplanetary space and in the terrestrial space environment, known as space weather. A better understanding of the Sun-Earth connection carries enormous potential to mitigate negative space weather effect…

2020 Frontiers in Astronomy and Space Sciences
Cluster 3
Editorial: Improving the Understanding of Kinetic Processes in Solar Wind and Magnetosphere: From CLUSTER to MMS
DOI: 10.3389/fspas.2020.549935 Bibcode: 2020FrASS...7...87G

Perrone, Denise; Lavraud, Benoit; Chasapis, Alexandros +1 more

2020 Frontiers in Astronomy and Space Sciences
Cluster 0
Neural network based identification of energy conversion regions and bursty bulk flows in Cluster data
DOI: 10.3389/fspas.2020.00051 Bibcode: 2020FrASS...7...51C

Marghitu, Octav; Constantinescu, Vlad

Neural networks (NN) provide a powerful pattern recognition tool, that can be used to search large amounts of data for certain types of 'events'. Our specific goal is to make use of NN in order to identify events in time series, in particular energy conversion regions (ECRs) and bursty bulk flows (BBFs) observed by the Cluster spacecraft in the ma…

2020 Frontiers in Astronomy and Space Sciences
Cluster 0