Energetic characterisation and statistics of solar coronal brightenings
Abstract
To explain the high temperature of the corona, much attention has been paid to the distribution of energy in dissipation events. Indeed, if the event energy distribution is steep enough, the smallest, unobservable events could be the largest contributors to the total energy dissipation in the corona. Previous observations have shown a wide distribution of energies but remain inconclusive about the precise slope. Furthermore, these results rely on a very crude estimate of the energy. On the other hand, more detailed spectroscopic studies of structures such as coronal bright points do not provide enough statistical information to derive their total contribution to heating. We aim at getting a better estimate of the distributions of the energy dissipated in coronal heating events using high-resolution, multi-channel EUV data. To estimate the energies corresponding to heating events and deduce their distribution, we detected brightenings in five EUV channels of SDO/AIA. We combined the results of these detections and used maps of temperature and emission measure derived from the same observations to compute the energies. We obtain distributions of areas, durations, intensities, and energies (thermal, radiative, and conductive) of events. These distributions are power laws and we also find power-law correlations between event parameters. The energy distributions indicate that the energy from a population of events like the ones we detect represents a small contribution to the total coronal heating, even when extrapolating to smaller scales. The main explanations for this are how heating events can be extracted from observational data, and the incomplete knowledge of the thermal structure and processes in the coronal plasma attainable from available observations.
- Publication:
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SDO 2016: Unraveling the Sun's Complexity
- Pub Date:
- October 2016
- Bibcode:
- 2016usc..confE.102J
- Keywords:
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- SDO;
- SDO-2016;
- SDO 2016;
- SDO Workshop;
- SDO 2016: Unraveling the Sun's Complexity;
- Solar Dynamic Observatory