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Identification of E...
Identification of Electron Diffusion Regions with a Machine Learning Approach on MMS Data at the Earth's Magnetopause
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- Lenouvel, Q. (författare)
- Univ Toulouse 3, CNRS, Inst Rech Astrophys & Planetol, Ctr Natl Etud Spatiales, Toulouse, France.
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- Genot, V (författare)
- Univ Toulouse 3, CNRS, Inst Rech Astrophys & Planetol, Ctr Natl Etud Spatiales, Toulouse, France.
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- Garnier, P. (författare)
- Univ Toulouse 3, CNRS, Inst Rech Astrophys & Planetol, Ctr Natl Etud Spatiales, Toulouse, France.
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- Toledo-Redondo, S. (författare)
- Univ Toulouse 3, CNRS, Inst Rech Astrophys & Planetol, Ctr Natl Etud Spatiales, Toulouse, France.;Univ Murcia, Dept Electromagnetism & Elect, Murcia, Spain.
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- Lavraud, B. (författare)
- Univ Toulouse 3, CNRS, Inst Rech Astrophys & Planetol, Ctr Natl Etud Spatiales, Toulouse, France.;Univ Bordeaux, CNRS, Lab Astrophys Bordeaux, Bordeaux, France.
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- Aunai, N. (författare)
- Sorbonne Univ, Univ Paris Sud, Univ Paris Saclay,Lab Phys Plasmas, PSL Res Univ,CNRS,Ecole Polytech,Observ Paris, Palaiseau, France.
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- Nguyen, G. (författare)
- Sorbonne Univ, Univ Paris Sud, Univ Paris Saclay,Lab Phys Plasmas, PSL Res Univ,CNRS,Ecole Polytech,Observ Paris, Palaiseau, France.
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- Gershman, D. J. (författare)
- NASA, Goddard Space Flight Ctr, Greenbelt, MD USA.
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- Ergun, R. E. (författare)
- Univ Colorado, Dept Astrophys & Planetary Sci, Boulder, CO USA.
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- Lindqvist, Per-Arne (författare)
- KTH,Rymd- och plasmafysik
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- Giles, B. (författare)
- NASA, Goddard Space Flight Ctr, Greenbelt, MD USA.
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- Burch, J. L. (författare)
- Southwest Res Inst, San Antonio, TX USA.
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Univ Toulouse 3, CNRS, Inst Rech Astrophys & Planetol, Ctr Natl Etud Spatiales, Toulouse, France Univ Toulouse 3, CNRS, Inst Rech Astrophys & Planetol, Ctr Natl Etud Spatiales, Toulouse, France.;Univ Murcia, Dept Electromagnetism & Elect, Murcia, Spain. (creator_code:org_t)
- American Geophysical Union (AGU), 2021
- 2021
- Engelska.
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Ingår i: Earth and Space Science. - : American Geophysical Union (AGU). - 2333-5084. ; 8:5
- Relaterad länk:
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https://doi.org/10.1...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- This article presents 18 magnetic reconnection electron diffusion region (EDR) candidates found using a neural network algorithm with the Magnetospheric Multiscale Mission phase 1a data at the Earth's dayside magnetopause. These new candidates are compared to the 32 previously reported dayside EDRs listed in Webster et al. (2018), , which constitute the training database of our algorithm. One of the main parameters used is a scalar quantity called "MeanRL" which is based on the asymmetry of the electron velocity distribution function and better identifies electron agyrotropy in the plane perpendicular to the magnetic field. In the light of the new EDR candidates found, we discuss and analyze the sign of the energy dissipation during the reconnection process and the distinction between the inner and outer EDRs, with 40% of the candidates showing negative or oscillating dissipation. We also present in details one of the new identified EDR candidates.
Ämnesord
- NATURVETENSKAP -- Fysik -- Fusion, plasma och rymdfysik (hsv//swe)
- NATURAL SCIENCES -- Physical Sciences -- Fusion, Plasma and Space Physics (hsv//eng)
Nyckelord
- EDR
- machine learning
- magnetic reconnection
- magnetopause
- MMS
- neural network
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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Till lärosätets databas
- Av författaren/redakt...
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Lenouvel, Q.
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Genot, V
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Garnier, P.
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Toledo-Redondo, ...
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Lavraud, B.
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Aunai, N.
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visa fler...
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Nguyen, G.
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Gershman, D. J.
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Ergun, R. E.
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Lindqvist, Per-A ...
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Giles, B.
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Burch, J. L.
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visa färre...
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