Repository logo
  • English
  • Italiano
Log In
Have you forgotten your password?
  1. Home
  2. PRODOTTI RICERCA INAF
  3. 1 CONTRIBUTI IN RIVISTE (Journal articles)
  4. 1.01 Articoli in rivista
  5. The Frontier Fields lens modelling comparison project
 

The Frontier Fields lens modelling comparison project

Journal
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY  
Date Issued
2017
Author(s)
MENEGHETTI, MASSIMO  
•
Natarajan, P.
•
Coe, D.
•
Contini, E.
•
DE LUCIA, GABRIELLA  
•
GIOCOLI, Carlo  
•
Acebron, A.
•
BORGANI, STEFANO  
•
Bradac, M.
•
Diego, J. M.
•
Hoag, A.
•
Ishigaki, M.
•
Johnson, T. L.
•
Jullo, E.
•
Kawamata, R.
•
Lam, D.
•
Limousin, M.
•
Liesenborgs, J.
•
Oguri, M.
•
Sebesta, K.
•
Sharon, K.
•
Williams, L. L. R.
•
Zitrin, A.
DOI
10.1093/mnras/stx2064
Abstract
Gravitational lensing by clusters of galaxies offers a powerful probe of their structure and mass distribution. Several research groups have developed techniques independently to achieve this goal. While these methods have all provided remarkably high-precision mass maps, particularly with exquisite imaging data from the Hubble Space Telescope (HST), the reconstructions themselves have never been directly compared. In this paper, we present for the first time a detailed comparison of methodologies for fidelity, accuracy and precision. For this collaborative exercise, the lens modelling community was provided simulated cluster images that mimic the depth and resolution of the ongoing HST Frontier Fields. The results of the submitted reconstructions with the un-blinded true mass profile of these two clusters are presented here. Parametric, free-form and hybrid techniques have been deployed by the participating groups and we detail the strengths and trade-offs in accuracy and systematics that arise for each methodology. We note in conclusion that several properties of the lensing clusters are recovered equally well by most of the lensing techniques compared in this study. For example, the reconstruction of azimuthally averaged density and mass profiles by both parametric and free-form methods matches the input models at the level of ∼10 per cent. Parametric techniques are generally better at recovering the 2D maps of the convergence and of the magnification. For the best-performing algorithms, the accuracy in the magnification estimate is ∼10 per cent at μtrue = 3 and it degrades to ∼30 per cent at μtrue ∼ 10.
Volume
472
Issue
3
Start page
3177
Uri
http://hdl.handle.net/20.500.12386/27000
Url
https://academic.oup.com/mnras/article/472/3/3177/4083623icle/472/3/3177/4083623
Issn Identifier
0035-8711
Ads BibCode
2017MNRAS.472.3177M
Rights
open.access
File(s)
Loading...
Thumbnail Image
Name

stx2064.pdf

Description
PDF editoriale
Size

11.19 MB

Format

Adobe PDF

Checksum (MD5)

5b0c561bd143bcbad5350db78b788a63

Loading...
Thumbnail Image
Name

27000-stx2064_P02.pdf

Description
Miur
Size

3.57 MB

Format

Adobe PDF

Checksum (MD5)

a299ec126361c45a794219734d8693c2

Explore By
  • Communities and Collection
  • Research Outputs
  • Researchers
  • Organizations
  • Projects
Information and guides for authors
  • https://openaccess-info.inaf.it: all about open access in INAF
  • How to enter a product: guides to OA@INAF
  • The INAF Policy on Open Access
  • Downloadable documents and templates

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Privacy policy
  • End User Agreement
  • Send Feedback