ASCL.net

Astrophysics Source Code Library

Making codes discoverable since 1999

ASCL Code Record

[ascl:1905.024] SICON: Stokes Inversion based on COnvolutional Neural networks

SICON (Stokes Inversion based on COnvolutional Neural networks) provides a three-dimensional cube of thermodynamical and magnetic properties from the interpretation of two-dimensional maps of Stokes profiles by use of a convolutional neural network. In addition to being much faster than parallelized inversion codes, SICON, when trained on synthetic Stokes profiles from two numerical simulations of different structures of the solar atmosphere, also provided a three-dimensional view of the physical properties of the region of interest in geometrical height, and pressure and Wilson depression properties that are decontaminated from the blurring effect of instrumental point spread functions.

Code site:
https://github.com/aasensio/sicon
Described in:
https://ui.adsabs.harvard.edu/abs/2019A%26A...626A.102A
Bibcode:
2019ascl.soft05024A

Views: 2826

ascl:1905.024
Add this shield to your page
Copy the above HTML to add this shield to your code's website.