218 citations · 2.8k across the 117 of their papers we have counts for
11 papers · 1 filter
GlobULeS-IV. UVIT/AstroSat detection of extremely low mass white dwarf companions to blue straggler stars in NGC 362
Arvind K. Dattatrey, R. K. S. Yadav, Sharmila Rani +4
We report the discovery of extremely low-mass white dwarfs (ELM WDs) as a companion of blue straggler stars (BSSs) in the Galactic globular cluster NGC 362 using images from AstroS…
Ultraviolet imaging observations of three jellyfish galaxies: Star formation suppression in the centre and ongoing star formation in stripped tails
Koshy George, B. M. Poggianti, Neven Tomičić +13
Spiral galaxies undergo strong ram-pressure effects when they fall into the galaxy cluster potential. As a consequence, their gas is stripped to form extended tails within which st…
Globular Cluster UVIT legacy Survey (GlobUleS) III. Omega Centauri in Far-Ultraviolet
Deepthi S. Prabhu, Annapurni Subramaniam, Snehalata Sahu +21
We present the first comprehensive study of the most massive globular cluster Omega Centauri in the far-ultraviolet (FUV) extending from the center to ~ 28% of the tidal radius usi…
Study of the transient nature of classical Be stars using multi-epoch optical spectroscopy
Gourav Banerjee, Blesson Mathew, K. T. Paul +8
Variability is a commonly observed property of classical Be stars (CBe) stars. In extreme cases, complete disappearance of the Hα emission line occurs, indicating a disc-less state…
Smallest scale clumpy star formation in Stephan's Quintet revealed from UV and IR imaging
Prajwel Joseph, Koshy George, Smitha Subramanian +2
The spatial distribution and physical sizes of star forming clumps at the smallest scales provide valuable information on hierarchical star formation (SF). In this context, we repo…
UOCS-VIII. UV Study of the open cluster NGC 2506 using ASTROSAT
Anju Panthi, Kaushar Vaidya, Vikrant Jadhav +4
We study an intermediate-age open cluster NGC 2506 using the \textit{ASTROSAT}/UVIT data and other archival data. We identified 2175 cluster members using a machine learning-based…