Compressed sensing and Sequential Monte Carlo for solar hard X-ray imaging

12/20/2018
by   Anna Maria Massone, et al.
0

We describe two inversion methods for the reconstruction of hard X-ray solar images. The methods are tested against experimental visibilities recorded by the Reuven Ramaty High Energy Solar Spectroscopic Imager (RHESSI) and synthetic visibilities based on the design of the Spectrometer/Telescope for Imaging X-rays (STIX).

READ FULL TEXT

page 3

page 4

research
08/13/2017

Solar hard X-ray imaging by means of Compressed Sensing and Finite Isotropic Wavelet Transform

This paper shows that compressed sensing realized by means of regularize...
research
07/30/2018

Sparse Bayesian Imaging of Solar Flares

We consider imaging of solar flares from NASA RHESSI data as a parametri...
research
04/29/2022

Forward-fitting STIX visibilities

Aima. To determine to what extent the problem of forward fitting visibil...
research
01/27/2021

Automatic Detection of Occulted Hard X-ray Flares Using Deep-Learning Methods

We present a concept for a machine-learning classification of hard X-ray...
research
07/31/2018

Review on the estimators of unknown number of flare stars and other randomly flaring objects

Review is devoted to estimators (introduced in astronomy by famous astro...
research
02/18/2020

MEM_GE: a new maximum entropy method for image reconstruction from solar X-ray visibilities

Maximum Entropy is an image reconstruction method conceived to image a s...
research
08/10/2021

Imaging from STIX visibility amplitudes

Aims: To provide the first demonstration of STIX Fourier-transform X-ray...

Please sign up or login with your details

Forgot password? Click here to reset