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DMTN-021: Implementation of Image Difference Decorrelation

Dataset ·
 [1];  [2]
  1. Dept. of Astronomy, University of Washington
  2. Department of Astrophysical Sciences, Princeton University

Herein, we describe a method for decorrelating image differences produced by the Alard and Lupton (1998) method of PSF matching. Inspired by the recent work of Zackay et al. (2016) and the prior work of Kaiser [2004], this proposed method uses a single post-subtraction convolution of an image difference to remove the neighboring pixel covariances in the image difference that result from the convolution of the template image by the PSF matching kernel. We describe the method in detail, analyze its effects on image differences (both real and simulated) as well as on detections and photometry of detected sources in decorrelated image differences. We also compare the decorrelated image differences with those resulting from a basic implementation of Zackay et al. (2016). We describe the implementation of the new correction in the LSST image differencing pipeline, and discuss potential issues and areas of future research.

Research Organization:
NSF-DOE Vera C. Rubin Observatory
Sponsoring Organization:
U.S. National Science Foundation; U.S. Department of Energy Office of Science
DOE Contract Number:
AC02-76SF00515
OSTI ID:
2586490
Report Number(s):
Vera C. Rubin Observatory Data Management Technical Note DMTN-021
Country of Publication:
United States
Language:
English

References (9)

Image subtraction using a space-varying kernel journal June 2000
A Method for Optimal Image Subtraction journal August 1998
Proper Image Subtraction—Optimal Transient Detection, Photometry, and Hypothesis Testing journal October 2016
How to COAAD Images. II. A Coaddition Image that is Optimal for Any Purpose in the Background-dominated Noise Limit journal February 2017
LSST: From Science Drivers to Reference Design and Anticipated Data Products journal March 2019
Pan-STARRS PSF-Matching for Subtraction and Stacking preprint January 2019
Dmtn-021: Implementation Of Image Difference Decorrelation text January 2016
PSTN-019: The LSST Science Pipelines Software: Optical Survey Pipeline Reduction and Analysis Environment dataset January 2025
DMTN-015: Flavors of Coadds dataset January 2016

Cited By (3)

RTN-095: The Vera C. Rubin Observatory Data Preview 1 dataset July 2025
LDM-151: Data Management Science Pipelines Design dataset January 2020
DMTN-107: Options for Alert Production in LSST Operations Year 1 dataset January 2020

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