Removing atmospheric fringes from zwicky transient facility i-band images using principal component analysis

Michael S. Medford, Peter Nugent, Danny Goldstein, Frank J. Masci, Igor Andreoni, Ron Beck, Michael W. Coughlin, Dmitry A. Duev, Ashish A. Mahabal, Reed L. Riddle

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The Zwicky Transient Facility is a time-domain optical survey that has substantially increased our ability to observe and construct massive catalogs of astronomical objects by use of its 47 square degree camera that can observe in multiple filters. However the telescope’s i-band filter suffers from significant atmospheric fringes that reduce photometric precision, especially for faint sources and in multi-epoch co-additions. Here we present a method for constructing models of these atmospheric fringes using Principal Component Analysis that can be used to identify and remove these artifacts from contaminated images. In addition, we present the Uniform Background Indicator as a quantitative measurement of the reduced correlated background noise and photometric error present after removing fringes. We conclude by evaluating the effect of our method on measuring faint sources through the injection and recovery of artificial stars in both single-image epochs and co-additions. Our method for constructing atmospheric fringe models and applying those models to produce cleaned images is available for public download in the open source Python package fringez (https://github.com/MichaelMedford/fringez).

Original languageEnglish (US)
Article number064503
JournalPublications of the Astronomical Society of the Pacific
Volume133
Issue number1024
DOIs
StatePublished - Jun 1 2021

Bibliographical note

Publisher Copyright:
© 2021, IOP Publishing Ltd. All rights reserved.

Keywords

  • Algorithms
  • Astronomical optics
  • CCD photometry
  • Computational methods
  • Open source software
  • Principal component analysis
  • Publicly available software

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