Self-calibration of photometric redshift scatter in weak-lensing surveys

被引:43
|
作者
Zhang, Pengjie [1 ]
Pen, Ue-Li [2 ]
Bernstein, Gary [3 ]
机构
[1] Shanghai Astron Observ, Key Lab Res Galaxies & Cosmol, Shanghai 200030, Peoples R China
[2] Univ Toronto, Canadian Inst Theoret Astrophys, Toronto, ON M5S 3H8, Canada
[3] Univ Penn, Dept Phys & Astron, Philadelphia, PA 19104 USA
基金
美国国家科学基金会;
关键词
gravitational lensing; cosmology: observations; cosmology: theory; large-scale structure of Universe; LARGE-SCALE STRUCTURE; INTRINSIC ELLIPTICITY CORRELATION; MATTER POWER SPECTRUM; LUMINOUS RED GALAXIES; DIGITAL SKY SURVEY; DARK-MATTER; SHEAR; BARYONS; REQUIREMENTS; ERRORS;
D O I
10.1111/j.1365-2966.2010.16445.x
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Photometric redshift (photo-z) errors, especially catastrophic errors, are a major uncertainty for precision weak-lensing cosmology. We find that the shear (galaxy number) density and density-density cross-correlation measurements between photo-z bins, available from the same lensing surveys, contain valuable information for self-calibration of the scattering probabilities between the true redshift and photo-z bins. The self-calibration technique we propose does not rely on cosmological priors nor parameterization of the photo-z probability distribution function, and preserves all of the cosmological information available from shear-shear measurement. We estimate the calibration accuracy through the Fisher matrix formalism. We find that, for advanced lensing surveys such as the planned Stage IV surveys, the rate of photo-z outliers can be determined with statistical uncertainties of 0.01-1 per cent for z < 2 galaxies. Among the several sources of calibration error that we identify and investigate, the galaxy distribution bias is likely the most dominant systematic error, whereby photo-z outliers have different redshift distributions and/or bias than non-outliers from the same bin. This bias affects all photo-z calibration techniques based on correlation measurements. Galaxy bias variations of O(0.1) produce biases in photo-z outlier rates similar to the statistical errors of our method, so this galaxy distribution bias may bias the reconstructed scatters at several-Sigma level, but is unlikely to completely invalidate the self-calibration technique.
引用
收藏
页码:359 / 374
页数:16
相关论文
共 50 条
  • [41] Photometric redshifts in lensing clusters:: Identification and calibration of faint high redshift galaxies
    Pelló, R
    Kneib, JP
    Bolzonella, M
    Miralles, JM
    PHOTOMETRIC REDSHIFTS AND HIGH REDSHIFT GALAXIES, 1999, 191 : 241 - 246
  • [42] Photometric redshift uncertainties in weak gravitational lensing shear analysis: models and marginalization
    Zhang, Tianqing
    Rau, Markus Michael
    Mandelbaum, Rachel
    Li, Xiangchong
    Moews, Ben
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2023, 518 (01) : 709 - 723
  • [43] Photometric redshift calibration with self-organising maps
    Wright, Angus H.
    Hildebrandt, Hendrik
    van den Busch, Jan Luca
    Heymans, Catherine
    ASTRONOMY & ASTROPHYSICS, 2020, 637
  • [44] Solving the global photometric self-calibration problem in LSST
    Jones, R. Lynne
    Padmanabhan, Nikhil
    Ivezic, Zeljko
    Axelrod, Tim
    Bartlett, James
    Burke, David
    Cinabro, David
    Creze, M.
    Popescu, Bogdan
    Saha, Abhijit
    OBSERVATORY OPERATIONS: STRATEGIES, PROCESSES, AND SYSTEMS III, 2010, 7737
  • [45] Combining cluster observables and stacked weak lensing to probe dark energy: Self-calibration of systematic uncertainties
    Oguri, Masamune
    Takada, Masahiro
    PHYSICAL REVIEW D, 2011, 83 (02):
  • [46] Photometric redshift calibration with self-organising maps
    Wright, Angus H.
    Hildebrandt, Hendrik
    Van Den Busch, Jan Luca
    Heymans, Catherine
    Astronomy and Astrophysics, 2020, 637
  • [47] Photometric self-calibration of a projector-camera system
    Juang, Ray
    Majumder, Aditi
    2007 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-8, 2007, : 3544 - +
  • [48] Self-calibration and neural network implementation of photometric stereo
    Iwahori, Y
    Watanabe, Y
    Woodham, RJ
    Iwata, A
    16TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITON, VOL IV, PROCEEDINGS, 2002, : 359 - 362
  • [49] Simultaneous constraints on cosmology and photometric redshift bias from weak lensing and galaxy clustering
    Samuroff, S.
    Troxel, M. A.
    Bridle, S. L.
    Zuntz, J.
    MacCrann, N.
    Krause, E.
    Eifler, T.
    Kirk, D.
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2017, 465 (01) : L20 - L24
  • [50] A CLIPPING METHOD TO MITIGATE THE IMPACT OF CATASTROPHIC PHOTOMETRIC REDSHIFT ERRORS ON WEAK LENSING TOMOGRAPHY
    Nishizawa, Atsushi J.
    Takada, Masahiro
    Hamana, Takashi
    Furusawa, Hisanori
    ASTROPHYSICAL JOURNAL, 2010, 718 (02): : 1252 - 1265