activity
20042026
most citedThe fourth data release of the Kilo-Degree Survey: ugri imaging and nine-band optical-IR photometry over 1000 square degrees

322 citations · 4.4k across the 115 of their papers we have counts for

collaborators
Showing 2017Show all

7 papers · 1 filter

astro-ph.GA2017★ 67 cited

The extended Planetary Nebula Spectrograph (ePN.S) early-type galaxy survey. The kinematic diversity of stellar halos and the relation between halo transition scale and stellar mass

C. Pulsoni, O. Gerhard, M. Arnaboldi +14

In the hierarchical two-phase formation scenario, the extended halos of early type galaxies (ETGs) are expected to have different physical properties from those of the galaxies' ce…

astro-ph.GA2017★ 32 cited

The last 6 Gyr of dark matter assembly in massive galaxies from the Kilo Degree Survey

C. Tortora, N. R. Napolitano, N. Roy +5

We study the dark matter (DM) assembly in the central regions of massive early-type galaxies up to . We use a sample of massive ($\log M_{\rm \star}/M_{\rm…

astro-ph.IM2017★ 1 cited

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…

astro-ph.IM2017★ 3 cited

METAPHOR: Probability density estimation for machine learning based photometric redshifts

Valeria Amaro, Stefano Cavuoti, Massimo Brescia +3

We present METAPHOR (Machine-learning Estimation Tool for Accurate PHOtometric Redshifts), a method able to provide a reliable PDF for photometric galaxy redshifts estimated throug…

astro-ph.CO2017★ 22 cited

Testing Verlinde's emergent gravity in early-type galaxies

C. Tortora, L. V. E. Koopmans, N. R. Napolitano +1

Verlinde derived gravity as an emergent force from the information flow, through two-dimensional surfaces and recently, by a priori postulating the entanglement of information in 3…

astro-ph.GA2017★ 187 cited

Finding Strong Gravitational Lenses in the Kilo Degree Survey with Convolutional Neural Networks

C. E. Petrillo, C. Tortora, S. Chatterjee +8

The volume of data that will be produced by new-generation surveys requires automatic classification methods to select and analyze sources. Indeed, this is the case for the search…

astro-ph.IM2017★ 1 cited

Cooperative photometric redshift estimation

Stefano Cavuoti, Crescenzo Tortora, Massimo Brescia +5

In the modern galaxy surveys photometric redshifts play a central role in a broad range of studies, from gravitational lensing and dark matter distribution to galaxy evolution. Usi…