000008102 001__ 8102
000008102 005__ 20260324143700.0
000008102 037__ $$aPOSTER-2026-0074
000008102 100__ $$aHermans, Caro
000008102 245__ $$aStatistical Analysis of Energy Distributions of Quiet Sun EUV Brightenings from High-Resolution Solar Orbiter Observations
000008102 260__ $$c2026
000008102 269__ $$c2026-03-16
000008102 520__ $$aThe long-standing coronal heating problem raises the question of whether the solar corona can be heated by the cumulative effect of numerous small energy releases. Motivated by this, we investigated the smallest observable transient events in Quiet Sun. The Solar Orbiter’s High-Resolution Imager observing in the 174 Å (HRIEUV) provided unprecedented observations of the lower solar corona at the finest spatial and temporal resolution to date, enabling the detection of small-scale transient EUV brightenings, the smallest such events observed so far.  We used high-cadence, high-resolution HRIEUV observations of the quiet Sun, obtained at close heliocentric distances, to perform a detailed statistical analysis of these brightenings. A wavelet-based automatic detection algorithm was applied to identify and characterize individual events, while SDO/AIA observations were used to estimate their temperatures and emission measures, allowing the derivation of thermal energies.  To robustly characterize the energy distribution, the maximum likelihood estimation (MLE) was used to fit both power-law and lognormal models. The rollover region was constrained using methods proposed by Clauset et al. (2009) and Corral et al. (2019), with additional refinements introduced in this study. Goodness-of-fit and likelihood ratio tests were used to evaluate the competing models, and the sensitivity to the choice of the lower energy bound was assessed. The resulting statistical characterization offers new insights into the energetics of small-scale EUV brightenings and their potential contribution to the coronal heating budget.
000008102 594__ $$aNO
000008102 6531_ $$aEUV Brightenings
000008102 6531_ $$aEnergy Statistics
000008102 6531_ $$aDEM for EUV Brightenings
000008102 6531_ $$aSO/HRIEUV
000008102 6531_ $$aSDO/AIA
000008102 700__ $$aVerbeeck, Cis
000008102 700__ $$aNarang, Nancy
000008102 700__ $$aLim, Daye
000008102 700__ $$aShestov, Sergei
000008102 700__ $$aAuchère, Frédéric
000008102 700__ $$aMierla, Marilena
000008102 700__ $$aBerghmans, David
000008102 700__ $$aDolliou, Antoine
000008102 700__ $$aSchoutens, Wim
000008102 700__ $$aSegers, Johan
000008102 700__ $$aKraaikamp, Emil
000008102 700__ $$aLoumou, Konstantina
000008102 700__ $$aDickson, Ewan
000008102 700__ $$aNicula, Bogdan
000008102 700__ $$aRodriguez, Luciano
000008102 700__ $$aZhukov, Andrei
000008102 773__ $$tSolar Orbiter Workshop 2026
000008102 8560_ $$fcaro.hermans@ksb-orb.be
000008102 85642 $$ahttps://www.mps.mpg.de/sow2026
000008102 8564_ $$s26324411$$uhttps://publi2-as.oma.be/record/8102/files/Poster-A-5.11_Hermans.pdf
000008102 8564_ $$s26707$$uhttps://publi2-as.oma.be/record/8102/files/Poster-A-5.11_Hermans.jpg?subformat=icon-180$$xicon-180
000008102 8564_ $$s28097$$uhttps://publi2-as.oma.be/record/8102/files/Poster-A-5.11_Hermans.gif?subformat=icon$$xicon
000008102 980__ $$aCPOSTER