Nanoflare Heating of the Solar Corona Observed in X-rays
Vishal Upendran, Durgesh Tripathi, N.P.S. Mithun, Santosh Vadawale,, Anil Bhardwaj

TL;DR
This study uses machine learning to analyze X-ray data, revealing that impulsive heating events in the quiet solar corona occur frequently, last around 10 minutes, and follow a specific power-law distribution, helping to understand coronal heating.
Contribution
Developed a novel two-step machine learning inversion scheme to statistically characterize impulsive heating events in the quiet solar corona using X-ray measurements.
Findings
Impulsive events occur about 25 times per minute.
Typical event lifetime is approximately 10 minutes.
Event energies follow a power-law distribution with slope ≤ 2.0.
Abstract
The existence of the million-degree corona above the cooler photosphere is an unsolved problem in astrophysics. Detailed study of quiescent corona that exists regardless of the phase of the solar cycle may provide fruitful hints towards resolving this conundrum. However, the properties of heating mechanisms can be obtained only statistically in these regions due to their unresolved nature. Here, we develop a two-step inversion scheme based on the machine learning scheme of Upendran & Tripathi (2021a) for the empirical impulsive heating model of Pauluhn & Solanki (2007), and apply it to disk integrated flux measurements of the quiet corona as measured by the X-ray solar monitor (XSM) onboard Chandrayaan - 2. We use data in three energy passbands, viz., 1 - 1.3 keV, 1.3 - 2.3 keV, and 1 - 2.3 keV, and estimate the typical impulsive event frequencies, timescales, amplitudes, and the…
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Taxonomy
TopicsSolar and Space Plasma Dynamics · Stellar, planetary, and galactic studies · Gamma-ray bursts and supernovae
