activity
20002025
most citedResults from the Supernova Photometric Classification Challenge

167 citations · 567 across the 20 of their papers we have counts for

collaborators

20 papers

astro-ph.IM2025

Computational Astrophysics, Data Science & AI/ML in Astronomy: A Perspective from Indian Community

Prateek Sharma, Bhargav Vaidya, Yogesh Wadadekar +7

In contemporary astronomy and astrophysics (A&A), the integration of high-performance computing (HPC), big data analytics, and artificial intelligence/machine learning (AI/ML) has…

astro-ph.HE2020★ 20 cited

Correlation between relativistic reflection fraction and photon index in NuSTAR sample of Seyfert 1 AGN

Savithri H. Ezhikode, Gulab C. Dewangan, Ranjeev Misra +1

The primary X-ray emission from AGN, described by a power law, irradiates the accretion disc producing reflection features in the spectrum. The reflection features arising from the…

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…

astro-ph.IM2017★ 11 cited

Information Retrieval and Recommendation System for Astronomical Observatories

Nikhil Mukund, Saurabh Thakur, Sheelu Abraham +5

We present a machine learning based information retrieval system for astronomical observatories that tries to address user defined queries related to an instrument. In the modern i…

astro-ph.HE2016★ 44 cited

Determining the torus covering factors for a sample of type 1 AGN in the local Universe

Savithri H. Ezhikode, Poshak Gandhi, Chris Done +4

In the unified scheme of active galactic nuclei, a dusty torus absorbs and then reprocesses a fraction of the intrinsic luminosity which is emitted at longer wavelengths. Thus, sub…

astro-ph.IM2016★ 76 cited

Transient Classification in LIGO data using Difference Boosting Neural Network

Nikhil Mukund, Sheelu Abraham, Shivaraj Kandhasamy +2

Detection and classification of transients in data from gravitational wave detectors are crucial for efficient searches for true astrophysical events and identification of noise so…