activity
20022026
most citedEarly results from GLASS-JWST. III: Galaxy candidates at z9-15

339 citations · 9k across the 178 of their papers we have counts for

collaborators
Showing 2013Show all

6 papers · 1 filter

astro-ph.CO2013★ 56 cited

CLASH-VLT: spectroscopic confirmation of a z=6.11 quintuply lensed galaxy in the Frontier Fields Cluster RXC J2248.7-4431

I. Balestra, E. Vanzella, P. Rosati +41

We present VIsible Multi-Object Spectrograph (VIMOS) observations of a z 6 galaxy quintuply imaged by the Frontier Fields galaxy cluster RXC J2248.7-4431 (z=0.348). This sub-L^*, h…

astro-ph.CO2013★ 37 cited

The Contribution of Halos with Different Mass Ratios to the Overall Growth of Cluster-Sized Halos

Doron Lemze, Marc Postman, Shy Genel +39

We provide a new observational test for a key prediction of the ΛCDM cosmological model: the contributions of mergers with different halo-to-main-cluster mass ratios to cluster-siz…

astro-ph.CO2013★ 190 cited

CLASH-VLT: The mass, velocity-anisotropy, and pseudo-phase-space density profiles of the z=0.44 galaxy cluster MACS 1206.2-0847

A. Biviano, P. Rosati, I. Balestra +44

We use an unprecedented data-set of about 600 redshifts for cluster members, obtained as part of a VLT/VIMOS large programme, to constrain the mass profile of the z=0.44 cluster MA…

astro-ph.CO2013★ 40 cited

CLASH: Photometric redshifts with 16 HST bands in galaxy cluster fields

S. Jouvel, O. Host, O. Lahav +35

The Cluster Lensing And Supernovae survey with Hubble (CLASH) is an Hubble Space Telescope (HST) Multi-Cycle Treasury program observing 25 massive galaxy clusters. CLASH observatio…

astro-ph.CO2013★ 32 cited

Galaxy halo truncation and Giant Arc Surface Brightness Reconstruction in the Cluster MACSJ1206.2-0847

Thomas Eichner, Stella Seitz, Sherry H. Suyu +32

In this work we analyze the mass distribution of MACSJ1206.2-0847, especially focusing on the halo properties of its cluster members. The cluster appears relaxed in its X-ray emiss…

astro-ph.IM2013★ 85 cited

Photometric redshifts for Quasars in multi band Surveys

M. Brescia, S. Cavuoti, R. D'Abrusco +2

MLPQNA stands for Multi Layer Perceptron with Quasi Newton Algorithm and it is a machine learning method which can be used to cope with regression and classification problems on co…