Abstract Details

Name: Rahul Gopalakrishnan
Affiliation: IUCAA
Conference ID: ASI2025_670
Title : Data processing pipeline of SUIT onboard Aditya-L1
Authors and Co-Authors : Rahul Gopalakrishnan(1), Nived V N(1), Durgesh Tripathi(1,4), Sreejith Padinhatteeri(2), A. N. Ramaprakash(1,4), Janmejoy Sarkar(1,3), Soumya Roy(1), Rushikesh Deogaonkar(1), Aditya H. N(2), Mahesh Burse(1), Sakya Sinha(1) and SUIT Team
Abstract Type : Oral
Abstract Category : Facilities, Technologies and Data science
Abstract : The Solar Ultraviolet Imaging Telescope (SUIT) onboard Aditya-L1 observes the Sun from Lagrange point 1. It generates about 100 Gb of data per day in the default observation mode, capturing Region of Interest (ROI) and full-disk images as per the planned observations. In this presentation, we explain the data flow through the pipeline and the corrections applied to the images during processing. SUIT produces two levels of data products: Level 1, which will be made available within 24 hours of data reception, and Level 2, which will be made available within one week. Outreach images and daily movies are also regularly produced and will be available to the public. We elaborate on the processing steps involved in producing these outputs.