Noise from undetected sources in Dark Energy Survey images

DES Collaboration, A. Amara, S. Avila, A. A. Plazas, A. K. Romer, E. Sanchez, V. Scarpine, S. Serrano, I. Sevilla-Noarbe, M. Smith, M. Soares-Santos, E. Suchyta, M. E. C. Swanson, G. Tarle, Daniel Thomas, T. N. Varga, Alistair R. Walker, William Wester, R. D. Wilkinson, J. Zuntz

Research output: Contribution to journalArticlepeer-review

15 Downloads (Pure)

Abstract

For ground-based optical imaging with current CCD technology, the Poisson fluctuations in source and sky background photon arrivals dominate the noise budget and are readily estimated. Another component of noise, however, is the signal from the undetected population of stars and galaxies. Using injection of artificial galaxies into images, we demonstrate that the measured variance of galaxy moments (used for weak gravitational lensing measurements) in Dark Energy Survey (DES) images is significantly in excess of the Poisson predictions, by up to 30 per cent, and that the background sky levels are overestimated by current software. By cross-correlating distinct images of "empty" sky regions, we establish that there is a significant image noise contribution from undetected static sources (US), which on average are mildly resolved at DES resolution. Treating these US as a stationary noise source, we compute a correction to the moment covariance matrix expected from Poisson noise. The corrected covariance matrix matches the moment variances measured on the injected DES images to within 5 per cent. Thus we have an empirical method to statistically account for US in weak lensing measurements, rather than requiring extremely deep sky simulations. We also find that local sky determinations can remove the bias in flux measurements, at a small penalty in additional, but quantifiable, noise.
Original languageEnglish
Pages (from-to)2529-2539
Number of pages11
JournalMonthly Notices of the Royal Astronomical Society
Volume497
Issue number3
Early online date24 Jul 2020
DOIs
Publication statusPublished - 1 Sep 2020

Keywords

  • astro-ph.IM
  • astro-ph.CO
  • gravitational lensing: weak
  • techniques: image processing
  • diffuse radiation
  • RCUK
  • STFC

Fingerprint

Dive into the research topics of 'Noise from undetected sources in Dark Energy Survey images'. Together they form a unique fingerprint.

Cite this