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  • NAM2019
    • Registration
    • Key Dates & Outline Schedule
    • Practical Information
    • Exhibitors
    • Grants & Bursaries
    • Contacts
  • Science
    • Science Programme
    • Parallel Sessions
    • Plenary Talks
    • Community Session
    • Special Lunches
    • Posters
    • Presenter Guidelines
  • Social
    • What's On
    • Welcome Reception
    • RAS Awards Dinner
  • Media
  • Outreach
    • Outreach and Education Day
    • Fringe Event
    • School Visit Day
  • Lancaster
    • Travel
    • Accommodation
    • Childcare
    • Campus Map
    • About Lancaster
    • Code of Conduct

Programme by Session

Schedule

id
Tuesday
date time
PM2
15:00
Abstract
Accidental deep field bias in CMB T × SNe z correlation

Abstract details

id
Accidental deep field bias in CMB T × SNe z correlation
Date Submitted
2019-03-13 10:14:39
Tracey
Friday
University of Central Lancashire
Cosmic Web: Bridging Galaxies and Cosmology
Poster
T. Friday (University of Central Lancashire), R. G. Clowes (University of Central Lancashire), S. Raghunathan (University of Melbourne), G. M. Williger (University of Louisville)
Evidence presented by Yershov, Orlov and Raikov showed that the cosmic microwave background (CMB) pixel-temperatures (T) at supernovae (SNe) locations tend to increase with increasing redshift (z). They suggest this correlation could be caused by the Integrated Sachs-Wolfe effect and/or by some unrelated foreground emission. We assess this correlation independently using Planck 2015 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 CMB T × high SNe z) caused by the chance 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% (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.

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