Star/galaxy separation at faint magnitudes: application to a simulated Dark Energy Survey

被引：50

作者：

Soumagnac, M. T. ^{[1
,2
]}

Abdalla, F. B. ^{[1
,3
]}

Lahav, O. ^{[1
]}

Kirk, D. ^{[1
]}

Sevilla, I. ^{[4
]}

Bertin, E. ^{[5
]}

Rowe, B. T. P. ^{[1
]}

Annis, J. ^{[6
]}

Busha, M. T. ^{[7
,8
]}

Da Costa, L. N. ^{[9
,10
]}

Frieman, J. A. ^{[6
,11
,12
]}

Gaztanaga, E. ^{[13
]}

Jarvis, M. ^{[14
]}

Lin, H. ^{[6
]}

Percival, W. J. ^{[15
]}

Santiago, B. X. ^{[10
,16
]}

Sabiu, C. G. ^{[17
,18
]}

Wechsler, R. H. ^{[19
,20
]}

Wolz, L. ^{[1
,21
]}

Yanny, B. ^{[6
]}

机构：

[1] UCL, Dept Phys & Astron, London WC1E 6BT, England

[2] Weizmann Inst Sci, Benoziyo Ctr Astrophys, IL-76100 Rehovot, Israel

[3] Rhodes Univ, Dept Phys & Elect, ZA-6140 Grahamstown, South Africa

[4] Ctr Invest Energet Medioambientales & Tecnol, E-28040 Madrid, Spain

[5] Univ Paris 06, UMR CNRS 7095, Inst Astrophys Paris, F-75014 Paris, France

[6] Fermilab Natl Accelerator Lab, Ctr Particle Astrophys, Batavia, IL 60510 USA

[7] Univ Zurich, Inst Theoret Phys, CH-8093 Zurich, Switzerland

[8] Univ Calif Berkeley, Lawrence Berkeley Natl Lab, Div Phys, Berkeley, CA 94720 USA

[9] Observ Nacl, BR-20921400 Rio De Janeiro, RJ, Brazil

[10] Lab Interinst E Astron LineA, BR-20921400 Rio De Janeiro, RJ, Brazil

[11] Univ Chicago, Dept Astron & Astrophys, Chicago, IL 60637 USA

[12] Univ Chicago, Kavli Inst Cosmol Phys, Chicago, IL 60637 USA

[13] Inst Ciencies Espai IEEC CSIC, E-08193 Bellaterra, Barcelona, Spain

[14] Univ Penn, Dept Phys & Astron, Philadelphia, PA 19104 USA

[15] Univ Portsmouth, Inst Cosmol & Gravitat, Portsmouth PO1 3FX, Hants, England

[16] Univ Fed Rio Grande do Sul, Dept Astron, BR-91501970 Porto Alegre, RS, Brazil

[17] Korea Inst Adv Study, Seoul 130722, South Korea

[18] Korea Astron & Space Sci Inst, Daejeon 305348, South Korea

[19] SLAC Natl Accelerator Lab, Kavli Inst Particle Astrophys & Cosmol, Menlo Pk, CA 94025 USA

[20] Stanford Univ, Dept Phys, Stanford, CA 94305 USA

[21] Univ Oxford, Sub Dept Astrophys, Dept Phys, Oxford OX1 3RH, England

来源：

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY | 2015年 / 450卷 / 01期

基金：

欧洲研究理事会; 英国科学技术设施理事会; 美国国家科学基金会;

关键词：

gravitational lensing: weak; methods: data analysis; surveys; cosmology: observations; dark energy; large-scale structure of Universe; CLASSIFICATION; PHOTOMETRY; COSMOLOGY; PROSPECTS; GALAXIES;

D O I：

10.1093/mnras/stu1410

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

We address the problem of separating stars from galaxies in future large photometric surveys. We focus our analysis on simulations of the Dark Energy Survey (DES). In the first part of the paper, we derive the science requirements on star/galaxy separation, for measurement of the cosmological parameters with the gravitational weak lensing and large-scale structure probes. These requirements are dictated by the need to control both the statistical and systematic errors on the cosmological parameters, and by point spread function calibration. We formulate the requirements in terms of the completeness and purity provided by a given star/galaxy classifier. In order to achieve these requirements at faint magnitudes, we propose a new method for star/galaxy separation in the second part of the paper. We first use principal component analysis to outline the correlations between the objects parameters and extract from it the most relevant information. We then use the reduced set of parameters as input to an Artificial Neural Network. This multiparameter approach improves upon purely morphometric classifiers (such as the classifier implemented in SEXTRACTOR), especially at faint magnitudes: it increases the purity by up to 20 per cent for stars and by up to 12 per cent for galaxies, at i-magnitude fainter than 23.

引用

页码：666 / 680

页数：15

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