The VLA-COSMOS 3 GHz Large Project: Continuum data and source catalog release

Authors: V. Smolcic, M. Novak, M. Bondi, P. Ciliegi, K. P. Mooley, E. Schinnerer, G. Zamorani, F. Navarrete, S. Bourke, A. Karim, E. Vardoulaki, S. Leslie, J. Delhaize, C. L. Carilli, S. T. Myers, N. Baran, I. Delvecchio, O. Miettinen, J. Banfield, M. Balokovic, F. Bertoldi, P. Capak, D. A. Frail, G. Hallinan, H. Hao, N. Herrera Ruiz, A. Horesh, O. Ilbert, H. Intema, V. Jelic, H. R. Kloeckner, J. Krpan, S. R. Kulkarni, H. McCracken, C. Laigle, E. Middleberg, E. J. Murphy, M. Sargent, N. Z. Scoville, K. Sheth

arXiv: 1703.09713v1 - DOI (astro-ph.GA)
19 pages, 18 figures, 5 tables, accepted for publication in A&A

Abstract: We present the VLA-COSMOS 3 GHz Large Project based on 384 hours of observations with the Karl G. Jansky Very Large Array (VLA) at 3 GHz (10 cm) toward the two square degree Cosmic Evolution Survey (COSMOS) field. The final mosaic reaches a median rms of 2.3 uJy/beam over the two square degrees at an angular resolution of 0.75". To fully account for the spectral shape and resolution variations across the broad (2 GHz) band, we image all data with a multiscale, multifrequency synthesis algorithm. We present a catalog of 10,830 radio sources down to 5 sigma, out of which 67 are combined from multiple components. Comparing the positions of our 3 GHz sources with those from the Very Long Baseline Array (VLBA)-COSMOS survey, we estimate that the astrometry is accurate to 0.01" at the bright end (signal-to-noise ratio, S/N_3GHz > 20). Survival analysis on our data combined with the VLA-COSMOS 1.4~GHz Joint Project catalog yields an expected median radio spectral index of alpha=-0.7. We compute completeness corrections via Monte Carlo simulations to derive the corrected 3 GHz source counts. Our counts are in agreement with previously derived 3 GHz counts based on single-pointing (0.087 square degrees) VLA data. In summary, the VLA-COSMOS 3 GHz Large Project simultaneously provides the largest and deepest radio continuum survey at high (0.75") angular resolution to date, bridging the gap between last-generation and next-generation surveys.

Submitted to arXiv on 28 Mar. 2017

Explore the paper tree

Click on the tree nodes to be redirected to a given paper and access their summaries and virtual assistant

Also access our AI generated Summaries, or ask questions about this paper to our AI assistant.

Look for similar papers (in beta version)

By clicking on the button above, our algorithm will scan all papers in our database to find the closest based on the contents of the full papers and not just on metadata. Please note that it only works for papers that we have generated summaries for and you can rerun it from time to time to get a more accurate result while our database grows.