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| Paper: |
New Methods for Artifact Detection in Interferometric Images: A Very Large Array Sky Survey Case Study |
| Volume: |
538, ADASS XXXII |
| Page: |
158 |
| Authors: |
Suhasini S. Rao; Gregory R. Sivakoff |
| DOI: |
10.26624/KBIG9350 |
| Abstract: |
In the era of wide-area surveys by radio interferometers, like the Very
Large Array Sky Survey (VLASS), automatic image-quality classification is increasingly important for rapid data quality assessment. For instance, automatic rapidly-generated “Quick Look” images for the VLASS have numerous linear artifacts around
bright sources that can lead to mistaken source detection or characterization. Knowing
whether a part of an image is affected by these streaks is, therefore, critical for distinguishing truly variable radio sources from artifacts. Here we present new methods for
identifying residual linear structures in VLASS images and other pointed observations
with the the VLA. |
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