Characterising fast-time variations in the hard X-ray time profiles of solar flares using Solar Orbiter's STIX
Hannah Collier, Laura A. Hayes, Andrea F. Battaglia, Louise K. Harra,, S\"am Krucker

TL;DR
This paper introduces a novel Gaussian-based method to detect and analyze fast-time variations in solar flare hard X-ray profiles using Solar Orbiter's STIX data, revealing variations on 4-128s timescales.
Contribution
The work develops a systematic Gaussian decomposition technique for high-resolution HXR flare profiles, enabling detailed characterization of fast-time variations with Solar Orbiter's STIX.
Findings
First detection of fast-time variations (4-128s) in HXR profiles with STIX.
Gaussian decomposition effectively characterizes flare time profiles.
Residuals indicate high fit quality (≤1.8 standard deviation).
Abstract
Aims: The aim of this work is to develop a method to systematically detect and characterise fast-time variations (s) in the non-thermal hard X-ray (HXR) time profiles of solar flares using high-resolution data from Solar Orbiter's Spectrometer/Telescope for Imaging X-rays (STIX). Methods: The HXR time profiles were smoothed using Gaussian Process (GP) regression. The time profiles were then fitted with a linear combination of Gaussians to decompose the time profile. From the Gaussian decomposition, key characteristics such as the periodicity, full width at half maximum (FWHM), time evolution, and amplitude can be derived. Results: We present the outcome of applying this method to four M and X GOES-class flares from the first year of Solar Orbiter science operations. The HXR time profiles of these flares were decomposed into individual Gaussians and their periods were…
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Taxonomy
TopicsSolar and Space Plasma Dynamics
