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U.S. Department of Energy
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DMTN-015: Flavors of Coadds

Dataset ·

A glossary of different kinds of coadded images, with brief descriptions of the algorithms behind them.

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:
2583432
Report Number(s):
Vera C. Rubin Observatory Data Management Technical Note DMTN-015
Country of Publication:
United States
Language:
English

References (4)

Simultaneous Multicolor Detection of Faint Galaxies in the Hubble Deep Field journal January 1999
A Method for Optimal Image Subtraction journal August 1998
Toward Precision LSST Weak-Lensing Measurement. I. Impacts of Atmospheric Turbulence and Optical Aberration journal May 2011
How to COAAD Images. II. A Coaddition Image that is Optimal for Any Purpose in the Background-dominated Noise Limit journal February 2017

Cited By (3)

DMTN-080: Coaddition Artifact Rejection and CompareWarp dataset January 2018
DMTN-021: Implementation of Image Difference Decorrelation dataset January 2016
LDM-151: Data Management Science Pipelines Design dataset January 2020

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