4 papers
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…
From DES to KiDS: Domain adaptation for cross-survey detection of low-surface-brightness galaxies
Hareesh Thuruthipilly, Krzysztof Lisiecki, Junais +19
Low-surface-brightness galaxies (LSBGs) are vital for understanding galaxy formation, but their diffuse nature makes them challenging to detect. Upcoming large-scale surveys are ex…
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…
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.…