activity
20092023
most citedPerformance of centroiding algorithms at low light level conditions in adaptive optics

23 citations · 91 across the 17 of their papers we have counts for

collaborators

17 papers

astro-ph.SR2023

Data processing of Visible Emission Line Coronagraph Onboard ADITYA L1

Muthu Priyal, Jagdev Singh, B. Raghavendra Prasad +28

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 prime payload…

astro-ph.IM2022★ 4 cited

Data Pipeline Architecture and Development for VELC onboard Space Solar Mission AdityaL1

Jagdev Singh, B. Raghavendra Prasad, Chavali Sumana +4

ADITYA L-1 is India's first dedicated mission to study Sun and its atmosphere with Visible Emission Line Coronagraph (VELC), a major payload on ADITYA-L1. VELC has provision to mak…

astro-ph.SR2021★ 18 cited

Solar Coronal Magnetic Fields and Sensitivity Requirements for Spectropolarimetry Channel of VELC Onboard Aditya-L1

K. Sasikumar Raja, Suresh Venkata, Jagdev Singh +1

Understanding solar coronal magnetic fields is crucial to address the long-standing mysteries of the solar corona and solar wind. Although routine photospheric magnetic fields (MFs…

astro-ph.IM2021★ 8 cited

Spectropolarimeter on-board the Aditya-L1: Polarization Modulation and Demodulation

K. Nagaraju, B. Raghavendra Prasad, Bhavana S. Hegde +5

One of the major science goals of the Visible Emission Line Coronagraph (VELC) payload aboard the Aditya-L1 mission is to map the coronal magnetic field topology and the quantitati…

astro-ph.IM2019★ 1 cited

Prospect for UV observations from the Moon. III. Assembly and ground calibration of Lunar Ultraviolet Cosmic Imager (LUCI)

Joice Mathew, B. G. Nair, Margarita Safonova +14

The Lunar Ultraviolet Cosmic Imager (LUCI) is a near-ultraviolet (NUV) telescope with all-spherical mirrors, designed and built to fly as a scientific payload on a lunar mission wi…

astro-ph.IM2010★ 3 cited

Extrapolating Zernike Moments to Predict Future Optical Wave-fronts in Adaptive Optics Using Real Time Data Mining

Akondi Vyas, M. B. Roopashree, B. Raghavendra Prasad

We present the details of predicting atmospheric turbulence by mining Zernike moment data obtained from simulations as well as experiments. Temporally correlated optical wave-front…