A consistent comparison of bias models using observational data

被引:13
|
作者
Papageorgiou, A. [1 ,2 ]
Plionis, M. [1 ,3 ]
Basilakos, S. [4 ,5 ]
Ragone-Figueroa, C. [6 ]
机构
[1] Natl Observ Athens, Inst Astron & Astrophys, Athens 15236, Greece
[2] Univ Athens, Fac Phys, Dept Astrophys Astron & Mech, Athens 15783, Greece
[3] Inst Nacl Astrofis Opt & Electr, Puebla 72000, Mexico
[4] Acad Athens, Astron & Appl Math Res Ctr, Athens 11527, Greece
[5] Univ Barcelona, High Energy Phys Grp, Dept ECM, E-08028 Barcelona, Spain
[6] Univ Nacl Cordoba, IATE, CONICET, Astron Observ, RA-5000 Cordoba, Argentina
关键词
galaxies: haloes; quasars: general; cosmology: theory; large-scale structure of Universe; LARGE-SCALE BIAS; GALAXY REDSHIFT SURVEY; N-BODY SIMULATIONS; HALO MASS FUNCTION; COSMOLOGICAL MODELS; TIME EVOLUTION; DARK ENERGY; FLUCTUATIONS; ABUNDANCE; FIELDS;
D O I
10.1111/j.1365-2966.2012.20559.x
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
We investigate five different models for the dark matter (DM) halo bias, that is, the ratio of the fluctuations of mass tracers to those of the underlying mass, by comparing their cosmological evolution using optical quasar (QSO) and galaxy bias data at different redshifts, consistently scaled to the WMAP7 cosmology. Under the assumption that each halo hosts one extragalactic mass tracer, we use a chi(2)-minimization procedure to determine the free parameters of the bias models as well as to statistically quantify their ability to represent the observational data. Using the Akaike information criterion we find that the model that represents best the observational data is the Basilakos & Plionis model with the tracer merger extension. The only other statistically equivalent model, as indicated by the same criterion, is the Tinker et al. model. Finally, we find an average, over the different models, DM halo mass that hosts optical QSOs of M-h similar or equal to 2.7(+/-0.6) x 10(12) h (1) M-circle dot, while the corresponding value for optical galaxies is M-h similar or equal to 6.3(+/-2.1) x 10(11) h(-1) M-circle dot.
引用
收藏
页码:106 / 116
页数:11
相关论文
共 50 条
  • [41] Understanding the reliability of citizen science observational data using item response models
    Santos-Fernandez, Edgar
    Mengersen, Kerrie
    METHODS IN ECOLOGY AND EVOLUTION, 2021, 12 (08): : 1533 - 1548
  • [42] Bias and Causation: Models and Judgment for Valid Comparison
    Markus, Keith A.
    JOURNAL OF EDUCATIONAL AND BEHAVIORAL STATISTICS, 2012, 37 (03) : 475 - 476
  • [43] Can we trust observational data? Keeping bias in mind
    Wykes, Til
    Sweeney, Angela
    Guha, Martin
    JOURNAL OF MENTAL HEALTH, 2019, 28 (06) : 579 - 582
  • [44] Overall survival advantage with partial nephrectomy: A bias of observational data?
    Shuch, Brian
    Hanley, Janet
    Lai, Julie
    Vourganti, Srinivas
    Kim, Simon P.
    Setodji, Claude M.
    Dick, Andrew W.
    Chow, Wong-Ho
    Saigal, Chris
    CANCER, 2013, 119 (16) : 2981 - 2989
  • [45] Racial Bias in Child Protection? A Comparison of Competing Explanations Using National Data
    Drake, Brett
    Jolley, Jennifer M.
    Lanier, Paul
    Fluke, John
    Barth, Richard P.
    Jonson-Reid, Melissa
    PEDIATRICS, 2011, 127 (03) : 471 - 478
  • [46] Multiple-bias modelling for analysis of observational data - Discussion
    Copas, J
    Jones, DR
    Spiegelhalter, D
    Rice, K
    Armstrong, B
    Senn, S
    Carpenter, J
    Kenward, M
    De Stavola, B
    Nitsch, D
    Muirhead, CR
    Hodges, J
    Longford, NT
    Gelman, A
    Draper, D
    Gustafson, P
    McCandless, L
    Rubin, DB
    JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY, 2005, 168 : 291 - 306
  • [47] A comparison of reported thromboembolic events between rofecoxib and celecoxib using observational data
    Kasliwal, R
    Layton, D
    Harris, S
    Wilton, L
    Shakir, SAW
    DRUG SAFETY, 2005, 28 (10) : 934 - 934
  • [48] Comparison of Quantitative Signal Detection Using Observational and Spontaneous Adverse Event Data
    Powell, Gregory E.
    Ryan, Patrick B.
    Pattishall, Edward N.
    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2010, 19 : S184 - S184
  • [49] Duration data models, unemployment benefits and bias
    Arranz, Jose M.
    Muro, Juan
    APPLIED ECONOMICS LETTERS, 2007, 14 (15) : 1119 - 1122
  • [50] TESTING FOR SELECTIVITY BIAS IN PANEL DATA MODELS
    VERBEEK, M
    NIJMAN, T
    INTERNATIONAL ECONOMIC REVIEW, 1992, 33 (03) : 681 - 703