The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
The Karl G. Jansky Very Large Array Sky Survey (VLASS). Science Case and Survey Design
Open accessAbstract
The Very Large Array Sky Survey (VLASS) is a synoptic, all-sky radio sky survey with a unique combination of high angular resolution (≈2."5), sensitivity (a 1σ goal of 70 μJy/beam in the coadded data), full linear Stokes polarimetry, time domain coverage, and wide bandwidth (2–4 GHz). The first observations began in 2017 September, and observing for the survey will finish in 2024. VLASS will use approximately 5500 hr of time on the Karl G. Jansky Very Large Array (VLA) to cover the whole sky visible to the VLA (decl. > −40°), a total of 33 885 deg². The data will be taken in three epochs to allow the discovery of variable and transient radio sources. The survey is designed to engage radio astronomy experts, multi-wavelength astronomers, and citizen scientists alike. By utilizing an "on the fly" interferometry mode, the observing overheads are much reduced compared to a conventional pointed survey. In this paper, we present the science case and observational strategy for the survey, and also results from early survey observations.
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Cites
LSST: From Science Drivers to Reference Design and Anticipated Data Products
Ivezić, Ž., Kahn, S. M., Tyson, J. A., Abel, B., Acosta, E., Allsman, R., Alonso, D., AlSayyad, Y., Anderson, S. F., Andrew, J., et al. (2019) · The Astrophysical Journal · doi:10.3847/1538-4357/ab042c · Cited by 4,357
Self-citationGiant magnetized outflows from the centre of the Milky Way
Carretti, E., Crocker, R. M., Staveley-Smith, L., Haverkorn, M., Purcell, C., Gaensler, B. M., Bernardi, G., Kesteven, M. J., & Poppi, S. (2013) · Nature · doi:10.1038/nature11734 · Cited by 215 · cited 1×
“Note that this result is based on the 9 arcminute resolution SPASS survey (Carretti et al. 2013), so the reduction in beam depolarization may result in even larger fractional polarizations at 2–4 GHz, ∼ 10% (see Section 6.4.2).”
MethodInfluentialSelf-citationClassifying Radio Galaxies with the Convolutional Neural Network
Aniyan, A. K., & Thorat, K. (2017) · The Astrophysical Journal Supplement Series · doi:10.3847/1538-4365/aa7333 · Cited by 162
Radio Galaxy Zoo: compact and extended radio source classification with deep learning
Lukic, V, Brüggen, M., Banfield, J. K., Wong, O. I., Rudnick, L., Norris, R. P., & Simmons, B. (2018) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/sty163 · Cited by 86
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Cited by
CASA, the Common Astronomy Software Applications for Radio Astronomy
The CASA Team, Bean, B., Bhatnagar, S., Castro, S., Meyer, J. D., Emonts, B., Garcia, E., Garwood, R., Golap, K., Villalba, J. G., et al. (2022) · Publications of the Astronomical Society of the Pacific · doi:10.1088/1538-3873/ac9642 · Cited by 1,114
Self-citationYao, Y., Ravi, V., Gezari, S., van Velzen, S., Lu, W., Schulze, S., Somalwar, J. J., Kulkarni, S. R., Hammerstein, E., Nicholl, M., et al. (2023) · The Astrophysical Journal Letters · doi:10.3847/2041-8213/acf216 · Cited by 219
Anomalies in physical cosmology
Peebles, P. J. E. (2022) · Annals of Physics · doi:10.1016/j.aop.2022.169159 · Cited by 96
CNN architecture comparison for radio galaxy classification
Becker, B., Vaccari, M., Prescott, M., & Grobler, T. (2021) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stab325 · Cited by 50
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Metadata
- Authors
- Lacy, M., Baum, S. A., Chandler, C. J., Chatterjee, S., Clarke, T. E., Deustua, S., English, J., Farnes, J., Gaensler, B. M., Gugliucci, N., Hallinan, G., Kent, B. R., Kimball, A., Law, C. J., Lazio, T. J. W., Marvil, J., Mao, S. A., Medlin, D., Mooley, K., Murphy, E. J., Myers, S., Osten, R., Richards, G. T., Rosolowsky, E., Rudnick, L., Schinzel, F., Sivakoff, G. R., Sjouwerman, L. O., Taylor, R., White, R. L., Wrobel, J., Andernach, H., Beasley, A. J., Berger, E., Bhatnager, S., Birkinshaw, M., Bower, G. C., Brandt, W. N., Brown, S., Burke-Spolaor, S., Butler, B. J., Comerford, J., Demorest, P. B., Fu, H., Giacintucci, S., Golap, K., Güth, T., Hales, C. A., Hiriart, R., Hodge, J., Horesh, A., Ivezić, Ž., Jarvis, M. J., Kamble, A., Kassim, N., Liu, X., Loinard, L., Lyons, D. K., Masters, J., Mezcua, M., Moellenbrock, G. A., Mroczkowski, T., Nyland, K., O’Dea, C. P., O’Sullivan, S. P., Peters, W. M., Radford, K., Rao, U., Robnett, J., Salcido, J., Shen, Y., Sobotka, A., Witz, S., Vaccari, M., Weeren, R. J. V., Vargas, A., Williams, P. K. G., & Yoon, I.
- Venue
- Publications of the Astronomical Society of the Pacific
- Publisher
- IOP Publishing
- Published
- 2020-01-28
- Volume
- 132
- Issue
- 1009
- Pages
- 035001
- ISSN
- 0004-6280 (ISSN-L)
- 1538-3873
- OpenAlex
- W2995155898
- Cited by
- 685
- References
- 4
- FWCI
- 35.80
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Lacy, M., Baum, S. A., Chandler, C. J., Chatterjee, S., Clarke, T. E., Deustua, S., English, J., Farnes, J., Gaensler, B. M., Gugliucci, N., Hallinan, G., Kent, B. R., Kimball, A., Law, C. J., Lazio, T. J. W., Marvil, J., Mao, S. A., Medlin, D., Mooley, K., . . . Yoon, I. (2020). The Karl G. Jansky Very Large Array Sky Survey (VLASS). Science Case and Survey Design. Publications of the Astronomical Society of the Pacific. https://doi.org/10.1088/1538-3873/ab63eb
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