613 citations · 8k across the 387 of their papers we have counts for
12 papers · 1 filter
Euclid: Superluminous supernovae in the Deep Survey
C. Inserra, R. C. Nichol, D. Scovacricchi +31
In the last decade, astronomers have found a new type of supernova called `superluminous supernovae' (SLSNe) due to their high peak luminosity and long light-curves. These hydrogen…
Astrophysical Data Analytics based on Neural Gas Models, using the Classification of Globular Clusters as Playground
Giuseppe Angora, Massimo Brescia, Giuseppe Riccio +3
In Astrophysics, the identification of candidate Globular Clusters through deep, wide-field, single band HST images, is a typical data analytics problem, where methods based on Mac…
Photometric redshifts for the Kilo-Degree Survey. Machine-learning analysis with artificial neural networks
M. Bilicki, H. Hoekstra, M. J. I. Brown +24
We present a machine-learning photometric redshift analysis of the Kilo-Degree Survey Data Release 3, using two neural-network based techniques: ANNz2 and MLPQNA. Despite limited c…
DarkSide-20k: A 20 Tonne Two-Phase LAr TPC for Direct Dark Matter Detection at LNGS
C. E. Aalseth, F. Acerbi, P. Agnes +282
Building on the successful experience in operating the DarkSide-50 detector, the DarkSide Collaboration is going to construct DarkSide-20k, a direct WIMP search detector using a tw…
Probability density estimation of photometric redshifts based on machine learning
Stefano Cavuoti, Massimo Brescia, Valeria Amaro +3
Photometric redshifts (photo-z's) provide an alternative way to estimate the distances of large samples of galaxies and are therefore crucial to a large variety of cosmological pro…
Properties of Hi-GAL clumps in the inner Galaxy]{The Hi-GAL compact source catalogue. I. The physical properties of the clumps in the inner Galaxy ()
D. Elia, S. Molinari, E. Schisano +83
Hi-GAL is a large-scale survey of the Galactic plane, performed with Herschel in five infrared continuum bands between 70 and 500 m. We present a band-merged catalogue of spatia…