[IGPP Everyone] NOW: Space Physics seminar - **THURSDAY, REMOTE ONLY** 4/21, 3:30 PM PDT - Data-driven discovery of Fokker-Planck equation for the Earth's radiation belts electrons using Physics-Informed Neural Networks Abstract (E. Camporeale, NOAA)

Emmanuel V. Masongsong emasongsong at igpp.ucla.edu
Thu Apr 21 15:28:34 PDT 2022



SPACE PHYSICS SEMINAR 




DEPARTMENT OF EARTH, PLANETARY, AND SPACE SCIENCES 

DEPARTMENT OF ATMOSPHERIC AND OCEANIC SCIENCES 
UNIVERSITY OF CALIFORNIA, LOS ANGELES 

ZOOM LINK PROVIDED BELOW 


https://ucla.zoom.us/j/98070654630?pwd=aWdrSktueG9xWjU3cDZiQUhGRXV0UT09 



THURSDAY , April 2 1st , 2022 

Data-driven discovery of Fokker-Planck equation for the Earth's radiation belts electrons using Physics-Informed Neural Networks 


Enrico Camporeale 
NOAA 
We use the framework of Physics-Informed Neural Network (PINN) to solve the inverse problem associated to the Fokker-Planck equation for radiation belts' electron transport, using four years of Van Allen Probes data. Traditionally, reduced models have employed a diffusion equation based on the quasilinear approximation. We show that the dynamics of 'killer electrons' is described more accurately by a drift-diffusion equation, and that drift is as important as diffusion for nearly-equatorially trapped ~ 1 MeV electrons in the inner part of the belt. Moreover, we present a recipe for gleaning physical insight from solving the ill-posed inverse problem of inferring model coefficients from data using PINNs. Furthermore, we derive a parameterization for the diffusion and drift coefficients as a function of L only, which is both simpler and more accurate than earlier models. Finally, we use the PINN technique to develop an automatic event identification method that allows to identify times at which the radial transport assumption is inadequate to describe all the physics of interest. 


THURSDAY, April 21st, 2022 

**Remote Attendance Only** 
3:30 - 4:30 PM 



In-Charge: Vassilis Angelopoulos 



Spring Space Physics Seminar schedule: 



*THURSDAY* Apr 21 Enrico Camporeale, NOAA (REMOTE), 
Data-driven discovery of Fokker-Planck equation for the Earth's radiation belts electrons using Physics-Informed Neural Networks 


Apr 29 Artur Davoyan, UCLA Engineering 
Light sailing for breakthrough space exploration 


May 06 Frances Staples, UCLA AOS 
Radiation Belt Dynamics from a Particle Perspective 


May 12 Yangyang Shen, UCLA EPSS 
Contribution of kinetic Alfvén waves to energetic electron scattering and precipitation from plasma sheet injections 


May 20 Mike Hartinger, UCLA EPSS, SSI 
Inter-Hemispheric Comparisons of Mesoscale Current Systems through Expanded Antarctic Instrument Networks 


May 27 Man Hua, UCLA AOS 
Radiation belt electron dynamics driven by VLF transmitter waves in near-Earth space 


June 03 Adam Kellerman, UCLA AOS 
Modeling Earth's Radiation Belt Electrons on Shorter Time Scales 




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