Accidental deep field bias in CMB T and SNe z correlation
Accidental deep field bias in CMB T and SNe z correlation
复制标题
CMB T 和 SNe z 相关性中的意外深场偏差
DOI:
10.1093/mnras/sty1395
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发表时间:
2018
影响因子:
4.8
通讯作者:
Friday T
中科院分区:
文献类型:
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作者:
Friday T
Evidence presented by Yershov, Orlov, and Raikov apparently showed that theWMAP/Planckcosmic microwave background (CMB) pixel-temperatures (T) at supernovae (SNe) locations tend to increase with increasing redshift (). They suggest this correlation could be caused by the Integrated Sachs–Wolfe effect and/or by some unrelated foreground emission. Here, we assess this correlation independently usingPlanck2015 SMICA R2.01 data and, following Yershov et al., a sample of 2783 SNe from the Sternberg Astronomical Institute. Our analysis supports the prima facie existence of the correlation, but attributes it to a composite selection bias (high CMBT× high SNe) caused by the accidental alignment of seven deep survey fields with CMB hotspots. These seven fields contain 9.2 per cent of the SNe sample (256 SNe). Spearman’s rank-order correlation coefficient indicates the correlation present in the whole sample (ρs= 0.5,p-value = 6.7 × 10−9) is insignificant for a sub-sample of the seven fields together (ρs= 0.2,p-value = 0.2) and entirely absent for the remainder of the SNe (ρs= 0.1,p-value = 0.6). We demonstrate the temperature and redshift biases of these seven deep fields, and estimate the likelihood of their falling on CMB hotspots by chance is at least ∼6.8 per cent (approximately 1 in 15). We show that a sample of 7880 SNe from the Open Supernova Catalogue exhibits the same effect and we conclude that the correlation is an accidental but not unlikely selection bias.
DOI:
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发表时间:
2001
期刊:
影响因子:
--
作者:
R. Giacconi;A. Zirm;J. Wang;P. Rosati;M. Nonino;P. Tozzi;R. Gilli;V. Mainieri;G. Hasinger;L. Kewley;J. Bergeron;S. Borgani;R. Gilmozzi;N. Grogin;A. Koekemoer;E. Schreier;W. Zheng;C. Norman
通讯作者:
C. Norman