U.S. Department of EnergyOffice of Scientific and Technical Information
DMTN-197: Streak Masking in DM Image Processing
Abstract
Streaks caused by satellites are a persistent problem in optical images, and their occurrence will likely increase in the coming years. Many Hyper Suprime-Cam images are already affected by streaks, and the same is expected for Rubin Observatory data. In the LSST Data Release Production (DRP), most streaks and other artifacts are already detected and masked by the algorithm CompareWarpAssembleCoadd. However, some streaks are not caught at this stage and can contaminate the final coadds and detection catalogs. To find and mask these, we adopt a morphologically-based method for detecting streaks, which uses the Kernel-Based Hough Transform to detect straight lines. Once the lines are detected, the streak profile is fit and the affected portion of the image is masked out. This algorithm, maskStreaks, is included in the meas_algorithms package and is used in CompareWarpAssembleCoadd to remove streaks from coadds. Similar implementation in the Alert Production Pipeline is possible but has not been implemented.
- Publication Date:
- Other Number(s):
- Vera C. Rubin Observatory Data Management Technical Note DMTN-197
- DOE Contract Number:
- AC02-76SF00515
- Research Org.:
- NSF-DOE Vera C. Rubin Observatory
- Sponsoring Org.:
- U.S. National Science Foundation; U.S. Department of Energy Office of Science
- Subject:
- 79 ASTRONOMY AND ASTROPHYSICS
- OSTI Identifier:
- 2586496
- DOI:
- https://doi.org/10.71929/rubin/2586496
Citation Formats
Saunders, Clare. DMTN-197: Streak Masking in DM Image Processing. United States: N. p., 2021.
Web. doi:10.71929/rubin/2586496.
Saunders, Clare. DMTN-197: Streak Masking in DM Image Processing. United States. doi:https://doi.org/10.71929/rubin/2586496
Saunders, Clare. 2021.
"DMTN-197: Streak Masking in DM Image Processing". United States. doi:https://doi.org/10.71929/rubin/2586496. https://www.osti.gov/servlets/purl/2586496. Pub date:Thu Jul 15 00:00:00 EDT 2021
@article{osti_2586496,
title = {DMTN-197: Streak Masking in DM Image Processing},
author = {Saunders, Clare},
abstractNote = {Streaks caused by satellites are a persistent problem in optical images, and their occurrence will likely increase in the coming years. Many Hyper Suprime-Cam images are already affected by streaks, and the same is expected for Rubin Observatory data. In the LSST Data Release Production (DRP), most streaks and other artifacts are already detected and masked by the algorithm CompareWarpAssembleCoadd. However, some streaks are not caught at this stage and can contaminate the final coadds and detection catalogs. To find and mask these, we adopt a morphologically-based method for detecting streaks, which uses the Kernel-Based Hough Transform to detect straight lines. Once the lines are detected, the streak profile is fit and the affected portion of the image is masked out. This algorithm, maskStreaks, is included in the meas_algorithms package and is used in CompareWarpAssembleCoadd to remove streaks from coadds. Similar implementation in the Alert Production Pipeline is possible but has not been implemented.},
doi = {10.71929/rubin/2586496},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Jul 15 00:00:00 EDT 2021},
month = {Thu Jul 15 00:00:00 EDT 2021}
}