Spectropolarimetry package for visible emission line coronagraph (VELC) on board Aditya-L1 mission

Author(s):  
Suresh Venkata ◽  
Raghavendra Prasad B ◽  
Jagdev Singh
2013 ◽  
Vol 42 (2) ◽  
pp. 96-100 ◽  
Author(s):  
Jagdev Singh ◽  
Raja Bayanna ◽  
K. Sankarasubramanian

2019 ◽  
Vol 64 (7) ◽  
pp. 1455-1464
Author(s):  
Jagdev Singh ◽  
B. Raghavendra Prasad ◽  
Suresh Venkata ◽  
Amit Kumar

2018 ◽  
Vol 45 (2) ◽  
pp. 219-229 ◽  
Author(s):  
N. Raj Kumar ◽  
B. Raghavendra Prasad ◽  
Jagdev Singh ◽  
Suresh Venkata

2017 ◽  
Vol 3 (1) ◽  
pp. 014002 ◽  
Author(s):  
Suresh N. Venkata ◽  
B. Raghavendra Prasad ◽  
Raj Kumar Nalla ◽  
Jagdev Singh

2017 ◽  
Vol 13 (S335) ◽  
pp. 340-343 ◽  
Author(s):  
D. Banerjee ◽  
R. Patel ◽  
V. Pant ◽  

AbstractVisible Emission Line Coronagraph (VELC) on board ADITYA-L1 is an internally occulted coronagraph with mirror as its primary objective element. It has a field of view (FOV) starting from 1.05 R⊙– 3 R⊙. It will observe the corona in continuum centered at 5000 Å and will perform spectroscopic observations of inner corona in two visible (5303 Å and 7892 Å) and one infrared (10747 Å) wavelengths. VELC will be capable of observingthecorona with high spatial and temporal resolutions. We present an overview of the inner coronagraph (VELC) design and introduce the concept of an on-board automated coronal mass ejections (CMEs) detection logic proposed for this payload.


2018 ◽  
Vol 13 (S340) ◽  
pp. 171-172
Author(s):  
Ritesh Patel ◽  
K. Amareswari ◽  
Vaibhav Pant ◽  
Dipankar Banerjee ◽  
K. Sankarasubramanian

AbstractAn onboard automated coronal mass ejections (CMEs) detection algorithm has been developed for Visible Emission Line Coronagraph (VELC) onboard ADITYA-L1. The aim of this algorithm is to reduce the load on telemetry by sending the high spatial (~ 2.51 arcsec pixel−1) and temporal (1 s) resolution images of corona from 1.05 R⊙ to 3 R⊙, containing CMEs and rejecting others. It is based on intensity thresholding followed by an area thresholding in successive running difference images which are re-binned to lower resolution to improve signal to noise. Here we present the results of application of the algorithm on synthetic corona images generated for the VELC field of view (FOV).


2017 ◽  
Vol 113 (04) ◽  
pp. 613 ◽  
Author(s):  
B. Raghavendra Prasad ◽  
Dipankar Banerjee ◽  
Jagdev Singh ◽  
S. Nagabhushana ◽  
Amit Kumar ◽  
...  

Solar Physics ◽  
2018 ◽  
Vol 293 (7) ◽  
Author(s):  
Ritesh Patel ◽  
Amareswari K ◽  
Vaibhav Pant ◽  
Dipankar Banerjee ◽  
Sankarasubramanian K. ◽  
...  

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