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Skynet Algorithm for Single-dish Radio Mapping. I. Contaminant-cleaning, Mapping, and Photometering Small-scale Structures

  • Authors: J. R. Martin, D. E. Reichart, D. A. Dutton, M. P. Maples, T. A. Berger, F. D. Ghigo, J. B. Haislip, O. H. Shaban, A. S. Trotter, L. M. Barnes, M. L. Paggen, R. L. Gao, C. P. Salemi, G. I. Langston, S. Bussa, J. A. Duncan, S. White, S. A. Heatherly, J. B. Karlik, E. M. Johnson, J. E. Reichart, A. C. Foster, V. V. Kouprianov, S. Mazlin, and J. Harvey

2019 The Astrophysical Journal Supplement Series 240 12.

  • Provider: AAS Journals

Caption: Figure 18.

Simulated data from Figure 16 to which we have added en-route drift and long-duration RFI. For the en-route drift, we use a sum of randomly phased sine functions, the shortest period of which is 12 beamwidths. We linearly increase the maximum amplitude of the en-route drift from zero times the noise level at the bottom of the image to 12 times the noise level at the top of the image. For the long-duration RFI, we use a similarly constructed sum of sine functions, plus a constant to ensure that it is always positive and multiplied by a long-duration Gaussian envelope. The long-duration RFI is significantly brighter than the en-route drift. A locally modeled surface (Section 1.2.1, see Section 3.7) has been applied for visualization only. Square-root scaling is used to emphasize fainter structures.

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