Synthetic galaxy clusters and observations based on Dark Energy Survey Year 3 Data
Abstract
We develop a novel data-driven method for generating synthetic optical observations of galaxy clusters. In cluster weak lensing, the interplay between analysis choices and systematic effects related to source galaxy selection, shape measurement, and photometric redshift estimation can be best characterized in end-to-end tests going from mock observations to recovered cluster masses. To create such test scenarios, we measure and model the photometric properties of galaxy clusters and their sky environments from the Dark Energy Survey Year 3 (DES Y3) data in two bins of cluster richness $\lambda \in [30; 45)$, $\lambda \in [45; 60)$ and three bins in cluster redshift ($z\in [0.3; 0.35)$, $z\in [0.45; 0.5)$ and $z\in [0.6; 0.65)$. Using deep-field imaging data, we extrapolate galaxy populations beyond the limiting magnitude of DES Y3 and calculate the properties of cluster member galaxies via statistical background subtraction. We construct mock galaxy clusters as random draws from a distribution function, and render mock clusters and line-of-sight catalogues into synthetic images in the same format as actual survey observations. Synthetic galaxy clusters are generated from real observational data, and thus are independent from the assumptions inherent to cosmological simulations. The recipe can be straightforwardly modified to incorporate extra information, and correct for survey incompleteness. New realizations of synthetic clusters can be created at minimal cost, which will allow future analyses to generate the large number of images needed to characterize systematic uncertainties in cluster mass measurements.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Nov 18, 2021
- Source ID
- 10.1093/mnras/stab3269
Entities
People
- (des Collaboration)
- A Choi
- A K Romer
- A. Amon
- Andrés A. Plazas Malagón
- Antonella Palmese
- Aurelio Carnero Rosell
- B Flaugher
- B. Yanny
- C To
- D W Gerdes
- Daniel Gruen
- Daniel I. Brooks
- Daniel Thomas
- E Rozo
- E S Rykoff
- E Sheldon
- E. R. Sánchez
- Emmanuel Bertin
- Enrique Gaztañaga
- Eric Suchyta
- F Menanteau
- F Paz-chinchón
- G Tarlé
- G. Gutierrez
- Gary Bernstein
- H T Diehl
- I Sevilla-noarbe
- Ian Harrison
- Ismael Ferrero
- J Annis
- J Gschwend
- J. Mccullough
- J. Myles
- J. P. Dietrich
- J. Zuntz
- Jorge Carretero Palacios
- Juan De Vicente-Albendea
- Juan García-Bellido
- Juliane Weller
- K Honscheid
- K Kuehn
- K. Eckert
- K. Herner
- L N Da Costa
- M A G Maia
- M A Troxel
- M E C Swanson
- M E S Pereira
- M Schubnell
- M Soares-santos
- M. March
- Mathew Smith
- Matias Carrasco Kind
- Matteo Costanzi
- Matthew C. Jarvis
- Matthew R. Becker
- Michel Aguena
- Niall MacCrann
- Nikolay Kuropatkin
- Peter Melchior
- R A Gruendl
- R Miquel
- R P Rollins
- Robert W. Morgan
- S Bhargava
- S Dodelson
- S Grandis
- S Seitz
- S Serrano
- S. Allam
- S. Everett
- Samuel R Hinton
- Shruti Desai
- T Jeltema
- T N Varga
- V Scarpine
- W G Hartley
- Yinglong Zhang
Organizations
- Argonne National Laboratory
- Autonomous University of Madrid
- Barcelona Institute for Science and Technology
- Brookhaven National Laboratory
- Carnegie Mellon University
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
- Duke University
- ETH Zurich
- European Commission
- European Regional Development Fund
- European Research Council
- Fermilab
- Financiadora de Estudos e Projetos
- Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
- Generalitat of Catalonia
- German Research Foundation
- Higher Education Funding Council for England
- Indian Institute of Technology Hyderabad
- Institute for Fundamental Physics of the Universe
- Institute of Space Studies of Catalonia
- Instituto de Astrofísica de Canarias
- Lawrence Berkeley National Laboratory
- Lowell Observatory
- Ludwig-Maximilians-Universität München
- Max Planck Institute for Extraterrestrial Physics
- Ministry of Economy, Industry and Competitiveness
- Ministry of Science, Technology and Innovation
- National Center for Supercomputing Applications
- National Council for Scientific and Technological Development
- National Science Foundation
- Oak Ridge National Laboratory
- Office of Science
- Ohio State University
- Princeton University
- SLAC National Accelerator Laboratory
- Santa Cruz Institute for Particle Physics
- Science and Technology Facilities Council
- Seventh Framework Programme
- Sorbonne Universités
- Spanish National Research Council
- Stanford University
- Texas A&M University
- United States Department of Energy
- University College London
- University of Arizona
- University of California
- University of Cambridge
- University of Chicago
- University of Edinburgh
- University of Geneva
- University of Illinois Urbana–Champaign
- University of La Laguna
- University of Manchester
- University of Michigan
- University of Nottingham
- University of Oslo
- University of Oxford
- University of Pennsylvania
- University of Portsmouth
- University of Queensland
- University of Southampton
- University of Sussex
- University of São Paulo
- University of Trieste
- University of Wisconsin–Madison