166 citations · 1.4k across the 48 of their papers we have counts for
50 papers
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 (…
An Exploration of Possible Governance Models for the Future Global Gravitational-Wave Observatory Network
Stavros Katsanevas, Gary Sanders, Beverly Berger +17
The construction of a global network of detectors is the cornerstone to scientific success for 3rd generation gravitational wave astronomy. If carried out with a vision to the futu…
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…
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…
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…
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…