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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 42.

Top row: the six background-subtracted mappings of Jupiter from Figure 41 appended and jointly RFI-subtracted, with 0.9 (left), 0.1 (middle), and ≈0 (right) beamwidth RFI-subtraction scales. Bottom row: the same, but excluding the fourth, significantly RFI-contaminated mapping from Figure 41. Smaller RFI-subtraction scales recover more near noise-level signal. Because multiple 0.2 beamwidth mappings are used, the RFI-subtraction scale can be as low as 0.1 beamwidths and still be completely effective at eliminating RFI. Locally modeled surfaces have been applied for visualization, with a minimum weighting scale of 1/3 beamwidths (Section 1.2.1; see Section 3.7).

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