activity
20002024
most citedDetermining neutron star masses and radii using energy-resolved waveforms of X-ray burst oscillations

110 citations · 2k across the 94 of their papers we have counts for

collaborators

94 papers

astro-ph.HE2024

AstroSat Observations of the Dipping Low Mass X-ray Binary XB 1254-690

Nilam R. Navale, Devraj Pawar, A. R. Rao +4

XB 1254-690 is a neutron star low-mass X-ray binary with an orbital period of 3.88 hrs, and it exhibits energy-dependent intensity dips, thermonuclear bursts, and flares. We presen…

astro-ph.HE2023★ 10 cited

AstroSat view of the neutron star low-mass X-ray binary GX 340+0

Yash Bhargava, Sudip Bhattacharyya, Jeroen Homan +1

Understanding the spectral evolution along the `Z'-shaped track in the hardness-intensity diagram of Z-sources, which are a class of luminous neutron star low-mass X-ray binaries,…

astro-ph.HE2023★ 6 cited

Broadband spectro-temporal investigation of neutron star low-mass X-ray binary GX 349+2

Unnati Kashyap, Manoneeta Chakraborty, Sudip Bhattacharyya +1

We report a broadband investigation of the Z-type neutron star (NS) low mass X-ray binary (LMXB) GX 349+2 using AstroSat and NICER. AstroSat observed the source exhibiting large sc…

astro-ph.HE2023★ 1 cited

Disk-corona modeling for spectral index and luminosity correlation of tidal disruption events

T. Mageshwaran, Sudip Bhattacharyya

We present a relativistic disk-corona model for a steady state advective accretion disk to explain the UV to X-ray spectral index evolution of \textbf{four} tidal d…

astro-ph.HE2023★ 14 cited

Contrasting X-ray/UV time-lags in Seyfert 1 galaxies NGC 4593 and NGC 7469 using AstroSat observations

Kavita Kumari, G. C. Dewangan, I. E. Papadakis +6

We study accretion disk-corona connection in Seyfert 1 galaxies using simultaneous UV/X-ray observations of NGC 4593 (July 14-18, 2016) and NGC 7469 (October 15-19, 2017) performed…

astro-ph.HE2023★ 5 cited

Automated classification of Chandra X-ray point sources using machine learning methods

Shivam Kumaran, Samir Mandal, Sudip Bhattacharyya +1

A large number of unidentified sources found by astronomical surveys and other observations necessitate the use of an automated classification technique based on machine learning m…