DOI.DS.2026_00002


DOI 10.20371/INAF/DS/2026_00002
Creators
(name, orcid,
affilation)
  • Leuzzi, Laura (INAF – OAS Bologna, orcid: 0009-0006-4479-7017)
  • Meneghetti, Massimo (INAF – OAS Bologna, orcid: 0000-0003-1225-7084)
  • Adam, Alexandre (Univ of Montreal, orcid: 0000-0001-8806-7936)
  • Moscardini, Lauro (Univ di Bologna, orcid: 0000-0002-3473-6716)
  • Giocoli, Carlo (INAF – OAS Bologna, orcid: 0000-0002-9590-7961)
  • Bergamini, Pietro (INAF – OAS Bologna , orcid: 0000-0003-1383-9414)
  • Hezaveh, Yashar (Univ of Montreal, orcid: 0000-0002-8669-5733)
  • Maturi, Matteo (Univ of Heidelberg, orcid: 0000-0002-3517-2422)
  • Mercurio, Amata (INAF – O.A. Capodimonte, orcid: 0000-0001-9261-7849)
  • Moretti, Alessia (INAF – O.A. Padova, orcid: 0000-0002-1688-482X)
  • Plazas Malagón, Andrés (Stanford University, orcid: 0000-0002-2598-0514)
  • Rosati, Piero (Univ di Ferrara, orcid: 0000-0002-6813-0632)
Titles  Observation-driven simulations of strong lensing galaxy clusters
Publisher  INAF – OAS Bologna
Associated Paper
Publication 2026
Resource type DataSet
Version 1.00
File .zip
Dimension 105 GB
description This dataset contains simulated observations of 100 galaxy clusters acting as strong gravitational lenses, generated to support the development, validation, and comparison of cluster-lensing analysis methods and the training of machine-learning algorithms. The simulations were produced using an updated version of the SkyLens code and a new cluster-scale lensing simulation pipeline. Cluster-member galaxies are modeled using empirical relations derived from state-of-the-art observations, reproducing their morphologies, colors, luminosities, spatial distributions, and dark-matter halos. Background-source populations are enhanced using score-based diffusion models to improve their diversity and realism.
The dataset comprises two complementary suites of observations designed to resemble imaging obtained with the Hubble Space Telescope (HST) and the James Webb Space Telescope (JWST). For each suite, it provides simulated cluster images in multiple photometric bands, convergence maps, deflection-angle maps, and catalogs of cluster members and background sources. The catalogs include photometric, morphological, positional, and lensing-related properties, including, where applicable, the predicted positions of multiple images. A summary catalog also reports the mass, redshift, position angle, and number of member galaxies for each simulated cluster.
The dataset enables controlled tests in which the underlying lens mass distribution and source populations are known. It is therefore suitable for benchmarking mass-reconstruction and strong-lens-detection techniques, for studying observational selection effects, and for developing automated methods for analyzing large samples of cluster lenses expected from forthcoming wide-field surveys.
rights GNU GPL V3
link Observation-driven simulations of strong lensing galaxy clusters