Publications (5)
AMICO galaxy clusters in KiDS-DR3: constraints on CDM from extreme value statistics
Valerio Busillo, Giovanni Covone, Mauro Sereno +11
We constrain the CDM cosmological parameter by applying the extreme value statistics for galaxy cluster mass on the AMICO KiDS-DR3 catalog. We sample the posterior dis…
CASCO: Cosmological and AStrophysical parameters from Cosmological simulations and Observations -- II. Constraining cosmology and astrophysical processes with early- and late-type galaxies
Valerio Busillo, Crescenzo Tortora, Giovanni Covone +3
Physical processes impact galaxy formation and evolution in diverse ways, requiring validation of their implementation in cosmological simulations through comparisons with real dat…
CASCO: Cosmological and AStrophysical parameters from Cosmological simulations and Observations -- I. Constraining physical processes in local star-forming galaxies
Valerio Busillo, Crescenzo Tortora, Nicola R. Napolitano +4
We compare the structural properties and dark matter content of star-forming galaxies taken from the CAMELS cosmological simulations to the observed trends derived from the SPARC s…
Galaxy-Galaxy Strong Lensing with U-Net (GGSL-UNet). I. Extracting 2-Dimensional Information from Multi-Band Images in Ground and Space Observations
Fucheng Zhong, Ruibiao Luo, Nicola R. Napolitano +6
We present a novel deep learning method to separately extract the two-dimensional flux information of the foreground galaxy (deflector) and background system (source) of Galaxy-Gal…
Automation of finding strong gravitational lenses in the Kilo Degree Survey with U-DenseLens (DenseLens + Segmentation)
Bharath Chowdhary Nagam, Léon V E Koopmans, Edwin A Valentijn +7
In the context of upcoming large-scale surveys like Euclid, the necessity for the automation of strong lens detection is essential. While existing machine learning pipelines heavil…