5 citations · 5 across the 5 of their papers we have counts for
5 papers
Sutra : An integrated framework for identification and characterization of filaments in the interstellar medium
Shivam Kumaram, Ushasi Bhowmick, Vipin Kumar +3
Observations of the interstellar medium (ISM) at Far-infrared(FIR) and sub-millimetre (sub-mm) wavelengths reveal a complex filamentary structure of dust and gas, which plays a piv…
Explainable machine learning classification of \textit{Chandra} X-ray sources: SHAP analysis of multi-wavelength features
Shivam Kumaran, Samir Mandal, Sudip Bhattacharyya
Extensive astronomical surveys, like those conducted with the {\em Chandra} X-ray Observatory, detect hundreds of thousands of unidentified cosmic sources. Machine learning (ML) me…
Beyond Spherical geometry: Unraveling complex features of objects orbiting around stars from its transit light curve using deep learning
Ushasi Bhowmick, Shivam Kumaran
Characterizing the geometry of an object orbiting around a star from its transit light curve is a powerful tool to uncover various complex phenomena. This problem is inherently ill…
Probing properties of nearly two-hundred new active galactic nuclei
Samrat Ghosh, Samir Mandal, Sudip Bhattacharyya +1
We present a comprehensive analysis of the X-ray spectral properties of 198 newly identified active galactic nuclei (AGNs), leveraging archival data from the {\it Chandra} X-ray Ob…
Automated classification of Chandra X-ray point sources using machine learning methods
Shivam Kumaran, Samir Mandal, Sudip Bhattacharyya +1
A large number of unidentified sources found by astronomical surveys and other observations necessitate the use of an automated classification technique based on machine learning m…