Name: Upasna Baweja
Affiliation: Aryabhatta research institute of observational sciences
Conference ID : ASI2022_266
Title : Coronal magnetic field measurements using Bayesian Inference
Authors : Upasna Baweja, Dr. Vaibhav Pant
Abstract Type: Poster
Abstract Category : Sun and the Solar System
Abstract : The physical parameters of the solar corona, for instance magnetic field, cannot be measured directly. However, coronal seismology allows us to deduce this property of solar corona as it makes use of combination of the observed and theoretical properties of magnetohydrodynamic (MHD) waves. We use Doppler velocity data obtained from Coronal Multichannel Polarimeter (CoMP) on 2016 October 14 and the data involves the spectral profiles of Fe XIII lines at 1074.7nm. Using wave tracking technique, we obtained the phase speed of transverse MHD waves in the coronal plasma. But the information obtained from these waves is incomplete and uncertain and hence require some inversion method to diagnose the physical conditions and processes. A recent development in solar atmospheric seismology consists the use of inversion and model comparison methods based on Bayesian analysis. Bayesian inference can yield many orders of magnitude improvement in model parameter estimation, through the incorporation of relevant prior information. We will present the preliminary results in measuring global map of plane of sky component of coronal magnetic field using Bayesian Inference.