Please use this identifier to cite or link to this item: http://hdl.handle.net/2248/8505
Title: Data processing of visible emission line coronagraph onboard ADITYA-L1
Authors: Priyal, M
Singh, J
Prasad, B. R
Sumana, Chavali
Kumar, Varun
Mishra, Shalabh
Venkata, S. N
Sindhuja, G
Sasikumar Raja, K
Amit Kumar
Krishnan, Sanal
Hegde, Bhavana
Utkarsha, D
Natarajan, V
Somasundaram, P. K
Nagabhushana, S
Kamath, P. U
Kathiravan, S
Mani, V. T
Basavaraju, Suresh
Chavan, Rajkumar
Vemareddy, P
Ravindra, B
Rajaguru, S. P
Nagaraju, K
Mishra, Wageesh
Joshi, Jayant
Samanta, T
Chatterjee, Piyali
Kathiravan, C
Ramesh, R
Keywords: VELC
Aditya-L1 mission
Coronagraph
Imaging and spectroscopic observations
Data pipeline architecture
Data flow
Issue Date: 1-Jul-2024
Publisher: Elsevier B.V
Citation: Advances in Space Research Vol. 74, No. 1 , pp. 547-560
Abstract: ADITYA-L1 is India's first dedicated mission to observe the Sun and its atmosphere from a halo orbit around L1 point. Visible emission line coronagraph (VELC) is the primary payload on board Aditya-L1 to observe the Sun’s corona. VELC is designed as an internally occulted reflective coronagraph to meet the observational requirements of wide wavelength band and the field of view close to the solar limb (1.05 R Sun ). Images of the solar corona in continuum and spectra in three emission lines 5303 Å [Fe xiv], 7892 Å [Fe xi] and 10747 Å [Fe xiii] obtained with high cadence are to be analyzed using software algorithms automatically. A reasonable part of these observations will be made in a synoptic mode in which the data are processed through a standard pipeline and the resulting products will be made available for public use. The procedure involves the calibration of instrument and detectors, converting the images into the FITS format, correcting the images and spectra for the instrumental effects, and aligning the images (in terms of position angles and image scales) etc. Then, develop image processing algorithms to detect the occurrence of energetic events using continuum images. Also derive physical parameters, such as temperature and velocity structure of solar corona using emission line observations. Here, we describe the calibration of detectors and the development of software algorithms to detect the occurrence of CMEs and analyze the spectroscopic data.
Description: Restricted Access
URI: http://hdl.handle.net/2248/8505
ISSN: 0273-1177
Appears in Collections:IIAP Publications

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