activity
20062024
most citedThe conversion of Neutron star to Strange star : A two step process

56 citations · 396 across the 41 of their papers we have counts for

collaborators
Showing 2021Show all

6 papers · 1 filter

astro-ph.HE2021

General relativistic shocks in connection with neutron stars

Ritam Mallick, Anshuman Verma

Astrophysical shocks are very common and are interesting as they are responsible for particle acceleration in supernovas, blazers, and neutron stars. In this work, we study general…

astro-ph.HE2021★ 2 cited

General relativistic calculation of magnetic field and Power loss for a misaligned pulsar

Sagnik Chatterjee, Ritam Mallick

In this study, we model a pulsar as a general relativistic oblique rotator, where the oblique rotator is a rotationally deformed neutron star whose rotation and magnetic axis are i…

astro-ph.HE2021★ 4 cited

Semi Universal relation to understand matter properties at neutron star interiors

Ritam Mallick, Debojoti Kuzur, Rana Nandi

The occurrence of quark matter at the center of neutron stars is still in debate. This study defines some semi-empirical parameters that quantify the occurrence and the amount of q…

astro-ph.HE2021★ 7 cited

Multimessenger signal from phase transition of neutron star to quark star

Debojoti Kuzur, Ritam Mallick, Prasad R +1

Aim: To study the multimessenger nature of the signal that can result from the phase transition of a neutron star to a quark star and their corresponding astrophysical observations…

gr-qc2021

Tidal effect on the gyroscopic precession around a compact star

Kamal Krishna Nath, Debojoti Kuzur, Ritam Mallick

General relativistic effects in the spacetime around the massive astrophysical objects can be captured using a spinning test gyro orbiting around the object in a circular geodesic.…

cs.CL2021★ 12 cited

Context- and Sequence-Aware Convolutional Recurrent Encoder for Neural Machine Translation

Ritam Mallick, Seba Susan, Vaibhaw Agrawal +2

Neural Machine Translation model is a sequence-to-sequence converter based on neural networks. Existing models use recurrent neural networks to construct both the encoder and decod…