Statistical Properties of Soft X-ray emission of solar flares
Viacheslav M Sadykov, Alexander G Kosovichev, Irina N Kitiashvili,, Alexander Frolov

TL;DR
This study analyzes the statistical properties of soft X-ray emissions, plasma temperature, and emission measure in solar flares from 2002 to 2017, revealing patterns in flare evolution and loop dynamics.
Contribution
It provides a comprehensive statistical analysis of flare properties using GOES data and introduces classifications based on timing of temperature and emission measure maxima.
Findings
Over 96% of flares show sequential T, SXR, and EM maxima.
Timing differences correlate with flare class and loop length.
T-controlled flares tend to develop in longer loops.
Abstract
We present a statistical analysis of properties of Soft X-Ray (SXR) emission, plasma temperature (T), and emission measure (EM), derived from GOES observations of flares in 2002-2017. The temperature and emission measures are obtained using the TEBBS algorithm (Ryan et al. 2012), which delivers reliable results together with uncertainties even for weak B-class flare events. More than 96% of flares demonstrate a sequential appearance of T, SXR, and EM maxima, in agreement with the expected behavior of the chromospheric evaporation process. The relative number of such flares increases with increasing the SXR flux maximum. The SXR maximum is closer in time to the T maximum for B-class flares than for >=C-class flares, while it is very close to the EM maximum for M- and X-class flares. We define flares as "T-controlled" if the time interval between the SXR and T maxima is at least two times…
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