LANL*: Radiation belt drift shell modeling

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Ada Coda
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LANL*: Radiation belt drift shell modeling

Post by Ada Coda » Mon Sep 08, 2014 3:42 am

LANL*: Radiation belt drift shell modeling

Abstract: LANL* calculates the magnetic drift invariant L*, used for modeling radiation belt dynamics and other space weather applications, six orders of magnitude (~ one million times) faster than convectional approaches that require global numerical field lines tracing and integration. It is based on a modern machine learning technique (feed-forward artificial neural network) by supervising a large data pool obtained from the IRBEM library, which is the traditional source for numerically calculating the L* values. The pool consists of about 100,000 samples randomly distributed within the magnetosphere (r: [1.03, 11.5] Re) and within a whole solar cycle from 1/1/1994 to 1/1/2005. There are seven LANL* models, each corresponding to its underlying magnetic field configuration that is used to create the data sample pool. This model has applications to real-time radiation belt forecasting, analysis of data sets involving tens of satellite-years of observations, and other problems in space weather.

Credit: Yu, Yiqun; Koller, Josef

Site: https://ccmc.gsfc.nasa.gov/models/model ... model=LANL
https://ui.adsabs.harvard.edu/abs/2009GMD.....2..113K

Bibcode: 2014ascl.soft09003Y

ID: ascl:1409.003
Last edited by Ada Coda on Mon Oct 19, 2020 6:50 pm, edited 1 time in total.
Reason: Updated code entry.

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