activity
20152022
most citedApplication of Convolutional Neural Networks for Stellar Spectral Classification

83 citations · 263 across the 10 of their papers we have counts for

collaborators

10 papers

astro-ph.GA2022★ 19 cited

Photometric identification of compact galaxies, stars and quasars using multiple neural networks

Siddharth Chaini, Atharva Bagul, Anish Deshpande +4

We present MargNet, a deep learning-based classifier for identifying stars, quasars and compact galaxies using photometric parameters and images from the Sloan Digital Sky Survey (…

astro-ph.SR2020★ 15 cited

Stellar Spectral Interpolation using Machine Learning

Kaushal Sharma, Harinder P. Singh, Ranjan Gupta +6

Theoretical stellar spectra rely on model stellar atmospheres computed based on our understanding of the physical laws at play in the stellar interiors. These models, coupled with…

astro-ph.SR2019★ 83 cited

Application of Convolutional Neural Networks for Stellar Spectral Classification

Kaushal Sharma, Ajit Kembhavi, Aniruddha Kembhavi +3

Due to the ever-expanding volume of observed spectroscopic data from surveys such as SDSS and LAMOST, it has become important to apply artificial intelligence (AI) techniques for a…

astro-ph.SR2019★ 6 cited

A Long-term photometric variability and spectroscopic study of luminous blue variable AF And in M31

Yogesh C. Joshi, Kaushal Sharma, Anjasha Gangopadhyay +2

We present photometric and spectroscopic analysis of the Hubble Sandage variable AF And in M31. The data has been taken under the Nainital Microlensing Survey during 1998-2002 and…

astro-ph.SR2019★ 26 cited

Multiwavelength Period-Luminosity and Period-Luminosity-Color relations at maximum-light for Mira variables in the Magellanic Clouds

Anupam Bhardwaj, Shashi Kanbur, Shiyuan He +8

We present Period-Luminosity and Period-Luminosity-Color relations at maximum-light for Mira variables in the Magellanic Clouds using time-series data from the Optical Gravitationa…

astro-ph.SR2018

Low resolution spectroscopic investigation of Am stars using Automated method

Kaushal Sharma, Santosh Joshi, H. P. Singh

Automated method of full spectrum fitting gives reliable estimates of stellar atmospheric parameters (Teff, logg and [Fe/H]) for late A, F, G and early K type stars. Recently, the…

astro-ph.SR2018

Estimating Stellar Atmospheric Parameters by Automated Methods Using SSLs

Kaushal Sharma, H. P. Singh, A. Kashyap +1

Libraries of stellar spectra, such as ELODIE (Prugniel & Soubiran 2001), CFLIB (Valdes et al. 2004), or MILES (Sánchez-Blázquez et al. 2006), are used for a variety of applications…

astro-ph.SR2017★ 17 cited

High-resolution Spectroscopy and Spectropolarimetry of Selected Delta Scuti Pulsating Variables

Santosh Joshi, Eugene Semenko, A. Moiseeva +5

The combination of photometry, spectroscopy and spectropolarimetry of the chemically peculiar stars often aims to study the complex physical phenomena such as stellar pulsation, ch…

astro-ph.SR2016★ 37 cited

The hot Gamma-Doradus and Maia stars

L. A. Balona, C. A. Engelbrecht, Yogesh C. Joshi +8

The hot ~Doradus stars have multiple low frequencies characteristic of ~Dor or SPB variables, but are located between the red edge of the SPB and the blue edge of the ~Dor…

astro-ph.SR2015★ 60 cited

New atmospheric parameters and spectral interpolator for the MILES cool stars

Kaushal Sharma, Philippe Prugniel, Harinder P. Singh

Context: The full spectrum fitting of stellar spectra against a library of empirical spectra is a well-established approach to measure the atmospheric parameters of FGK stars with…