3 papers
astro-ph.GA2026
Performance of morphological classifiers for galaxy mergers compared to current machine learning methods
Aidan P. Cotter, William J. pearson, Subhrata Dey +3
Aims. Non-parametric morphological statistics can be used for efficient classification of galaxy mergers. This work aims to compare the performance of morphological merger classifi…
astro-ph.GA2026
Size measurements and characterization of the astrophysical properties of multiple-component radio-AGNs in the ROGUE I catalog
Arti Goyal, Arpita Misra, Subhrata Dey +6
We present hand-curated size measurements for a sample of 2,002 multiple-component radio AGNs in the Radio sources associated with Optical Galaxies and having Unresolved or Extende…
astro-ph.GA2025
Spatially-resolved spectro-photometric SED Modeling of NGC 253's Central Molecular Zone I. Studying the star formation in extragalactic giant molecular clouds
Pedro K. Humire, Subhrata Dey, Tommaso Ronconi +29
Studying the interstellar medium in nearby starbursts is essential for understanding the physical mechanisms driving these objects, thought to resemble young star-forming galaxies.…