44 citations · 111 across the 9 of their papers we have counts for
9 papers
Analysing the time period of Vela pulsar
Shreyan Goswami, Hershini Gadaria, Sreejita Das +2
In this project, we have implemented our basic understanding of Pulsar Astronomy to calculate the Time Period of Vela Pulsar. Our choice of pulsar rests on the fact that it is the…
VaTEST II: Statistical Validation of 11 TESS-Detected Exoplanets Orbiting K-type Stars
Priyashkumar Mistry, Kamlesh Pathak, Aniket Prasad +48
NASA's Transiting Exoplanet Survey Satellite (TESS) is an all-sky survey mission designed to find transiting exoplanets orbiting nearby bright stars. It has identified more than 32…
Orbital Motion of a test particle around a Schwarzschild's Black Hole in STVG gravity
Devansh Shukla, Abhay Menon A, Kamlesh Pathak
In this article, we have examined the existence of a static spherically symmetric solution in the Scalar Tensor Vector Gravity (STVG) and investigated its horizon distances to deve…
VaTEST I: Validation of Sub-Saturn Exoplanet TOI-181b in Narrow Orbit from its Host Star
Priyashkumar Mistry, Kamlesh Pathak, Georgios Lekkas +11
We present here a validation of sub-Saturn exoplanet TOI-181b orbiting a K spectral type star TOI-181 (Mass: 0.822 0.04 M, Radius: 0.745 0.02 R, Tem…
Shadows and precession of orbits in rotating Janis-Newman-Winicour spacetime
Divyesh N. Solanki, Parth Bambhaniya, Dipanjan Dey +2
In this paper, we construct the rotating Janis-Newman-Winicour (JNW) naked singularity spacetime using Newman-Janis Algorithm (NJA). We analyse NJA with and without complexificatio…
Predicting future astronomical events using deep learning
Shashwat Singh, Ankul Prajapati, Kamlesh N Pathak
In a quest towards an intelligent decision-making machine, the ability to make plausible predictions is the central pillar of its intelligence. A predicting algorithm's central ide…
A machine learning-based approach towards the improvement of SNR of pulsar signals
Amitesh Singh, Kamlesh N Pathak
Many pulsar folding algorithms are currently deployed to generate strong SNRs for the total intensity profiles. But they require large observation times to improve the SNR effectiv…
Deep Learning for estimating parameters of Gravitational Waves
Shashwat Singh, Amitesh Singh, Ankul Prajapati +1
In recent years, improvements in Deep Learning (DL) techniques towards Gravitational Wave (GW) astronomy have led to a significant rise in the development of various classification…
Multifractality due to long-range correlation in the L-band ionospheric scintillation S4 index time series
H. J. Tanna, K. N. Pathak
The earth's ionosphere is well recognized as a dynamical system and non-linearly coupled with the magnetosphere above and natural atmosphere below.The shape and time variability of…