Simulating the EUV Irradiance of the solar corona with the aid of an artificial intelligence system to investigate the impulsive heating scenario | Edris Tajfirouzeh (Universita` degli studi di Palermo )

Nanoflares are candidates to produce most of the background emission from the solar corona. Recently, much work has been done with different models accompanied by different observational data to investigate the impulsive nature of heating the corona. One question is what is the weight of the events at different scales from small to large. In an attempt to improve the previous work we are about to simulate the light curves from an interest part of a full disk image of the solar corona taken by SDO/AIA, using a 0D model (EBTEL, Enthalpy Based Themal Evolution of Loop) as basic loop model. We use the simulated light curves as the trained data set and the observational time series as the test data set in the framework of an artificial intelligence system. The two data sets will feed an Artificial Neural Network (ANN) which is suitable in classifying and recognizing the samples. The comparison of the two data sets will help us to evaluate the distribution of the events that best matches the observations.