共 167 条
The Frontier Fields lens modelling comparison project
被引:178
作者:
Meneghetti, M.
[1
,2
]
Natarajan, P.
[3
]
Coe, D.
[4
]
Contini, E.
[5
]
De Lucia, G.
[6
]
Giocoli, C.
[7
]
Acebron, A.
[7
]
Borgani, S.
[6
,8
,9
]
Bradac, M.
[10
]
Diego, J. M.
[11
]
Hoag, A.
[10
]
Ishigaki, M.
[12
,13
]
Johnson, T. L.
[14
]
Jullo, E.
[7
]
Kawamata, R.
[15
]
Lam, D.
[16
]
Limousin, M.
[7
]
Liesenborgs, J.
[17
]
Oguri, M.
[12
,18
,19
]
Sebesta, K.
[20
]
Sharon, K.
[14
]
Williams, L. L. R.
[20
]
Zitrin, A.
[21
]
机构:
[1] Osservatorio Astron Bologna, Via Gobetti 93-3, I-40129 Bologna, Italy
[2] Ist Nazl Fis Nucl, Sez Bologna, Viale Berti Pichat 6-2, I-40127 Bologna, Italy
[3] Yale Univ, Dept Astron, New Haven, CT 06511 USA
[4] Space Telescope Sci Inst, Baltimore, MD 21218 USA
[5] Partner Grp MPI Astron, Purple Mt Observ, 2 West Beijing Rd, Nanjing 210008, Jiangsu, Peoples R China
[6] INAF, Astron Observ Trieste, Via GB Tiepolo 11, I-34143 Trieste, Italy
[7] Aix Marseille Univ, CNRS, LAM, UMR 7326, F-13388 Marseille, France
[8] Univ Trieste, Dept Phys, Astron Unit, Via Tiepolo, I-34131 Trieste, Italy
[9] Ist Nazl Fis Nucl, Natl Inst Nucl Phys, I-34127 Trieste, Italy
[10] Univ Calif Davis, Dept Phys, One Shields Ave, Davis, CA 95616 USA
[11] UC CSIC, Inst Fis Cantabria, IFCA, Av Castros S-N, E-39005 Santander, Spain
[12] Univ Tokyo, Grad Sch Sci, Dept Phys, Bunkyo Ku, 7-3-1 Hongo, Tokyo 1130033, Japan
[13] Univ Tokyo, Inst Cosm Ray Res, 5-1-5 Kashiwanoha, Kashiwa, Chiba 2778582, Japan
[14] Univ Michigan, Dept Astron, 1085 South Univ Ave, Ann Arbor, MI 48109 USA
[15] Univ Tokyo, Grad Sch Sci, Dept Astron, Bunkyo Ku, 7-3-1 Hongo, Tokyo 1130033, Japan
[16] Univ Hong Kong, Dept Phys, 0000-0002-6536-5575 Pokfulam Rd, Hong Kong, Hong Kong, Peoples R China
[17] Univ Hasselt, Expertisecentrum Digitale Media, Wetenschapspk 2, B-3590 Diepenbeek, Belgium
[18] Univ Tokyo, Res Ctr Early Univ, 7-3-1 Hongo, Tokyo 1130033, Japan
[19] Univ Tokyo, Kavli Inst Phys & Math Universe Kavli IPMU, WPI, Chiba 2778582, Japan
[20] Univ Minnesota, Sch Phys & Astron, 116 Church St SE, Minneapolis, MN 55455 USA
[21] CALTECH, Cahill Ctr Astron & Astrophys, MC 249-17, Pasadena, CA 91125 USA
关键词:
gravitational lensing: strong;
gravitational lensing: weak;
galaxies: clusters: general;
galaxies: high-redshift;
DARK-MATTER HALOS;
HIERARCHICAL SATELLITE ACCRETION;
SPACE-TELESCOPE OBSERVATIONS;
BRIGHTEST CLUSTER GALAXIES;
MULTIPLE IMAGES;
SDSS J1004+4112;
ARC STATISTICS;
NONPARAMETRIC INVERSION;
INTRACLUSTER LIGHT;
BARYONIC PROCESSES;
D O I:
10.1093/mnras/stx2064
中图分类号:
P1 [天文学];
学科分类号:
0704 ;
摘要:
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 similar to 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 similar to 10 per cent at mu(true) = 3 and it degrades to similar to 30 per cent at mu(true) similar to 10.
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页码:3177 / 3216
页数:40
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