Equatorial pitch angle distributions of 1 – 50 keV electrons in Earth's inner magnetosphere: an empirical model based on the Van Allen Probes observations

Author(s):  
H. Zhao ◽  
R. H. W. Friedel ◽  
Y. Chen ◽  
D. N. Baker ◽  
X. Li ◽  
...  
Author(s):  
Jacopo De Benedetti ◽  
Anna Milillo ◽  
Stefano Orsini ◽  
Alessandro Mura ◽  
Elisabetta De Angelis ◽  
...  

2018 ◽  
Vol 123 (5) ◽  
pp. 3493-3511 ◽  
Author(s):  
H. Zhao ◽  
R. H. W. Friedel ◽  
Y. Chen ◽  
G. D. Reeves ◽  
D. N. Baker ◽  
...  

2020 ◽  
Author(s):  
Artem Smirnov ◽  
Yuri Shprits ◽  
Hayley Allison ◽  
Nikita Aseev

<p><span>Earth’s radiation belts comprise complex and dynamic systems, depending substantially on solar activity. The pitch angle distributions (PADs) play an important role for radiation belts modelling, as they yield information on the particle transport, source and loss processes. Yet, many missions flying in the radiation belts provide omni-directional or uni-directional electron flux measurements and do not resolve pitch angles. We propose an empirical model of the equatorial PADs and a method to retrieve PADs from omni-directional flux measurements at different energies and locations along the inclined orbits. We use the entire dataset of MagEIS and REPT instruments aboard the Van Allen Probes (RBSP) mission to analyze the equatorial pitch angle distributions in the energy range from 30 keV to 6.2 MeV. The fitting method resolves all main types of PADs, including butterfly and cap distributions, and the resulting coefficients are directly related to the PAD shapes. The developed model can be used to obtain pitch angle resolved fluxes for GPS, Arase and other missions. The proposed algorithm is applied to the GPS electron flux data set to obtain the pitch-angle resolved fluxes, which are compared to the RBSP data at a number of GPS-RBSP conjunctions. The proposed model also allows one to reconstruct the pitch-angle resolved data using LEO measurements. The dynamics of the fitting coefficients based on solar activity is discussed with respect to AE, Kp, Dst indices and solar wind parameters: velocity, density and dynamic pressure.</span></p>


1999 ◽  
Vol 30 (5) ◽  
pp. 617-624 ◽  
Author(s):  
Tateo Goka ◽  
Haruhisa Matsumoto ◽  
Shunji Takagi
Keyword(s):  

2001 ◽  
Vol 106 (A11) ◽  
pp. 25713-25729 ◽  
Author(s):  
A. Milillo ◽  
S. Orsini ◽  
I. A. Daglis

MedChemComm ◽  
2017 ◽  
Vol 8 (12) ◽  
pp. 2216-2227 ◽  
Author(s):  
Wiktoria Jedwabny ◽  
Szymon Kłossowski ◽  
Trupta Purohit ◽  
Tomasz Cierpicki ◽  
Jolanta Grembecka ◽  
...  

A computationally affordable, non-empirical model based on electrostatic multipole and dispersion terms successfully predicts the binding affinity of inhibitors of menin–MLL protein–protein interactions.


2020 ◽  
Vol 125 (4) ◽  
Author(s):  
K. Sigsbee ◽  
C. A. Kletzing ◽  
J. B. Faden ◽  
A. N. Jaynes ◽  
G. D. Reeves ◽  
...  

2017 ◽  
Vol 122 (2) ◽  
pp. 1789-1802 ◽  
Author(s):  
M. H. Denton ◽  
G. D. Reeves ◽  
B. A. Larsen ◽  
R. H. W. Friedel ◽  
M. F. Thomsen ◽  
...  

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