Name: Soumya Roy
Affiliation: Inter-University Centre for Astronomy and Astrophysics
Conference ID : ASI2022_205
Title : Solar Ultraviolet Imaging Telescope (SUIT) Forward Modelling
Authors : 1. Soumya Roy, IUCAA, Pune 2. A. Bhasari, Max Planck Institute for Solar System Research, Gottingen, Germany 3. V. Witzke, Max Planck Institute for Solar System Research, Gottingen, Germany 4. Durgesh Tripathi, IUCAA, Pune 5. P. Sreejith, IUCAA, Pune 6. A. N. Ramprakash, IUCAA, Pune 7. S. Alexander, Max Planck Institute for Solar System Research, Gottingen, Germany 8. S. Solanki, Max Planck Institute for Solar System Research, Gottingen, Germany
Abstract Type: Oral
Abstract Category : Sun and the Solar System
Abstract : The Solar Ultraviolet Imaging Telescope (SUIT) is an instrument onboard the Aditya L1 mission to observe the Sun and measure the Solar radiation in the near Ultraviolet range (200-400 nm). SUIT will have the capability of probing various layers of the Sun with its 11 science filters (eight narrow bands and three broad bands). SUIT will provide full-disk and partial disk images of the Sun with a pixel size of 0.7 arcsec. Here, we use MPS-Atlas simulation to create mock observations for SUIT using the data obtained from the MURaM (MPS/University of Chicago Radiative MHD) simulation. MURaM is a multidimensional MHD code designed to facilitate realistic simulations of Solar magneto-convection and other related magnetic features (such as pores and emerging flux) in the upper convection zone and photosphere. The simulation includes the effects of non-gray radiative transfer, partial ionization, full compressibility and open boundary conditions. The simulation gives us various physical quantities like density, temperature, magnetic flux density etc. The MPS-Atlas code allows us to solve the Radiative Transfer equation through the MURaM cubes for the SUIT filter profiles. We convolve these simulated flux maps computed for various filters with the SUIT PSF to create the mock observations. These results will help us understand and interpret the SUIT observations.