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PreprintCC BY 4.0arXiv

The Karl G. Jansky Very Large Array Sky Survey (VLASS). Data Products

Abstract

The VLA Sky Survey (VLASS) is a radio continuum survey of the entire sky visible to the VLA (dec > -40deg) at ~2.5 arcsecond resolution over 2-4 GHz with full polarization. Data processing and quality assurance have proven challenging due to limited computing and staff resources, and require innovative approaches. Although "Quick Look" images in Stokes I continuum were produced within a few weeks of observation, high accuracy images that utilize the full potential of the dataset are computationally intensive and take much longer to produce. Half of the sky will need correction for w-terms to account for sky curvature, increasing the computational cost per image by ~100x. This problem will be tackled using GPUs and High-Throughput Computing (HTC) centers. Quality assurance of the tens of thousands of individual images has used a mix of algorithmic and machine learning techniques to automatically identify common artifacts and anomalies in the data. Archiving and dissemination of VLASS data products also pose a significant challenge.

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BibTeX
@misc{kimball2026karl,
  title = {{The Karl G. Jansky Very Large Array Sky Survey (VLASS). Data Products}},
  author = {Amy Kimball and Mark Lacy and Juergen Ott and John Tobin and Tierra Candelaria and Sergio Garza and Drew Medlin and Steven T. Myers},
  howpublished = {arXiv},
  year = {2026},
  month = jun,
  doi = {10.48550/arxiv.2606.27414},
  eprint = {2606.27414},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2606.27414},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - The Karl G. Jansky Very Large Array Sky Survey (VLASS). Data Products
AU  - Amy Kimball
AU  - Mark Lacy
AU  - Juergen Ott
AU  - John Tobin
AU  - Tierra Candelaria
AU  - Sergio Garza
AU  - Drew Medlin
AU  - Steven T. Myers
PY  - 2026
DA  - 2026/06/25
PB  - arXiv
DO  - 10.48550/arxiv.2606.27414
UR  - https://arxiv.org/abs/2606.27414
AB  - The VLA Sky Survey (VLASS) is a radio continuum survey of the entire sky visible to the VLA (dec > -40deg) at ~2.5 arcsecond resolution over 2-4 GHz with full polarization. Data processing and quality assurance have proven challenging due to limited computing and staff resources, and require innovative approaches. Although "Quick Look" images in Stokes I continuum were produced within a few weeks of observation, high accuracy images that utilize the full potential of the dataset are computationally intensive and take much longer to produce. Half of the sky will need correction for w-terms to account for sky curvature, increasing the computational cost per image by ~100x. This problem will be tackled using GPUs and High-Throughput Computing (HTC) centers. Quality assurance of the tens of thousands of individual images has used a mix of algorithmic and machine learning techniques to automatically identify common artifacts and anomalies in the data. Archiving and dissemination of VLASS data products also pose a significant challenge.
ER  -