activity
20132021
most citedApplication of Convolutional Neural Networks for Stellar Spectral Classification

83 citations · 212 across the 9 of their papers we have counts for

collaborators

10 papers

astro-ph.IM2021★ 5 cited

Deep Co-Added Sky from Catalina Sky Survey Images

Akshat Singhal, Varun Bhalerao, Ashish A. Mahabal +12

A number of synoptic sky surveys are underway or being planned. Typically they are done with small telescopes and relatively short exposure times. A search for transient or variabl…

astro-ph.GA2021★ 2 cited

Gravitational interaction signatures in isolated galaxy triplet systems: a photometric analysis

Amira A. Tawfeek, Kanak Saha, Kaustubh Vaghmare +7

Galaxy triplets are interesting laboratories where we can study the formation and the evolution of small and large systems of galaxies. This study aims to investigate signs of inte…

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.GA2018★ 3 cited

A SALT Spectral Study of S0s Hosting Pseudobulges

Kaustubh Vaghmare, Sudhanshu Barway, Petri Väisänen +3

We present a SALT-RSS spectroscopic study of a sample of S0 galaxies established by Vaghmare et al. (2015) as having pseudobulges using a combination of photometric criteria. We ex…

astro-ph.IM2017★ 58 cited

Detection of Bars in Galaxies using a Deep Convolutional Neural Network

Sheelu Abraham, Arun Aniyan, Ajit K. Kembhavi +2

We present an automated method for the detection of bar structure in optical images of galaxies using a deep convolutional neural network which is easy to use and provides good acc…