7 papers
Impact of stochastic star-formation histories and dust on selecting quiescent galaxies with JWST photometry
K. Lisiecki, D. Donevski, A. W. S. Man +16
While the James Webb Space Telescope (JWST) now allows identifying quiescent galaxies (QGs) out to early epochs, the photometric selection of quiescent galaxy candidates (QGCs) and…
Galaxy mergers classification using CNNs trained on Sérsic models, residuals and raw images
D. M. Chudy, W. J. Pearson, A. Pollo +5
Galaxy mergers are crucial for understanding galaxy evolution, and with large upcoming datasets, automated methods such as Convolutional Neural Networks (CNNs) are essential for ef…
The optical-infrared relation for active galactic nuclei: The role of contaminations
Mateusz RaÅowski, Krzysztof Hryniewicz, Katarzyna MaÅek +2
The main objective is to calibrate the OPT-IR luminosity relation for quasars, focusing on accurate estimations of dusty torus and accretion disk luminosities. We analyzed contamin…
Gamma-ray Bursts as Distance Indicators by a Statistical Learning Approach
Maria Giovanna Dainotti, Aditya Narendra, Agnieszka Pollo +6
Gamma-ray bursts (GRBs) can be probes of the early universe, but currently, only 26% of GRBs observed by the Neil Gehrels Swift Observatory GRBs have known redshifts () due to o…
GRB Redshift Estimation using Machine Learning and the Associated Web-App
Aditya Narendra, Maria Dainotti, Milind Sarkar +7
Context. Gamma-ray bursts (GRBs), observed at redshifts as high as 9.4, could serve as valuable probes for investigating the distant Universe. However, this necessitates an increas…
DES to HSC: Detecting low surface brightness galaxies in the Abell 194 cluster using transfer learning
H. Thuruthipilly, Junais, J. Koda +7
Low surface brightness galaxies (LSBGs) are important for understanding galaxy evolution and cosmological models. The upcoming large-scale surveys are expected to uncover a large n…