102 citations · 631 across the 51 of their papers we have counts for
7 papers · 1 filter
Uniform Additivity of Tripartite Optimized Correlation Measures
Joshua Levin, Ariel Shlosberg, Vikesh Siddhu +1
Information theory provides a framework for answering fundamental questions about the optimal performance of many important quantum communication and computational tasks. In many c…
Euclid: The - relation as a function of redshift. I. The black hole in NGC 1272
R. Saglia, K. Mehrgan, S. de Nicola +148
Core ellipticals, massive early-type galaxies have an almost constant inner surface brightness profile. The size of the core region correlates with the mass of the finally merged b…
A Finite Mixture Hidden Markov Model for Intermittently Observed Disease Process with Heterogeneity and Partially Known Disease Type
Yidan Shi, Leilei Zeng, Mary E. Thompson +1
Continuous-time multistate models are widely used for analyzing interval-censored data on disease progression over time. Sometimes, diseases manifest differently and what appears t…
Euclid: Early Release Observations -- Unveiling the morphology of two Milky Way globular clusters out to their periphery
D. Massari, E. Dalessandro, D. Erkal +158
As part of the Euclid Early Release Observations (ERO) programme, we analyse deep, wide-field imaging from the VIS and NISP instruments of two Milky Way globular clusters (GCs), na…
Euclid. V. The Flagship galaxy mock catalogue: a comprehensive simulation for the Euclid mission
Euclid Collaboration, F. J. Castander, P. Fosalba +366
We present the Flagship galaxy mock, a simulated catalogue of billions of galaxies designed to support the scientific exploitation of the Euclid mission. Euclid is a medium-class m…
Euclid preparation. LIII. LensMC, weak lensing cosmic shear measurement with forward modelling and Markov Chain Monte Carlo sampling
Euclid Collaboration, G. Congedo, L. Miller +239
LensMC is a weak lensing shear measurement method developed for Euclid and Stage-IV surveys. It is based on forward modelling in order to deal with convolution by a point spread fu…