THERMAL CHARACTERISTICS AND THE DIFFERENTIAL EMISSION MEASURE DISTRIBUTION DURING A B8.3 FLARE ON 2009 JULY 4

被引:9
作者
Awasthi, Arun Kumar [1 ]
Sylwester, Barbara [2 ]
Sylwester, Janusz [2 ]
Jain, Rajmal [3 ]
机构
[1] Univ Wroclaw, Astron Inst, PL-50138 Wroclaw, Poland
[2] Polish Acad Sci, Space Res Ctr, Solar Phys Div, Wroclaw, Poland
[3] Kadi Sarva Vishwavidyalaya, Gandhinagar, Gujarat, India
关键词
plasmas; radiation mechanisms: thermal; Sun: corona; Sun: flares; Sun: X-rays; gamma rays; techniques: spectroscopic; X-RAY-EMISSION; SOLAR-FLARES; GLOBAL ENERGETICS; ATOMIC DATABASE; SPECTRA; ENERGIES; RESIK; DIAGNOSTICS; SPHINX; THERMODYNAMICS;
D O I
10.3847/0004-637X/823/2/126
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
We investigate the evolution of the differential emission measure distribution (DEM[T]) in various phases of a B8.3 flare which occurred on 2009 July 04. We analyze the soft X-ray (SXR) emission in the 1.6-8.0 keV range, recorded collectively by the Solar Photometer in X-rays (SphinX; Polish) and the Solar X-ray Spectrometer (Indian) instruments. We conduct a comparative investigation of the best-fit DEM[T] distributions derived by employing various inversion schemes, namely, single Gaussian, power-law functions and a Withbroe-Sylwester (W-S) maximum likelihood algorithm. In addition, the SXR spectrum in three different energy bands, that is, 1.6-5.0 keV (low), 5.0-8.0 keV (high), and 1.6-8.0 keV (combined), is analyzed to determine the dependence of the best-fit DEM[T] distribution on the selection of the energy interval. The evolution of the DEM[T] distribution, derived using a W-S algorithm, reveals multi-thermal plasma during the rise to the maximum phase of the flare, and isothermal plasma in the post-maximum phase of the flare. The thermal energy content is estimated by considering the flare plasma to be (1) isothermal and (2) multi-thermal in nature. We find that the energy content during the flare, estimated using the multi-thermal approach, is in good agreement with that derived using the isothermal assumption, except during the flare maximum. Furthermore, the (multi-) thermal energy estimated while employing the low-energy band of the SXR spectrum results in higher values than that derived from the combined energy band. On the contrary, the analysis of the high-energy band of the SXR spectrum leads to lower thermal energy than that estimated from the combined energy band.
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