Image Details

Choose export citation format:

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 30.

Left: corrected 2D noise measurements vs. scan number for the 20 m observation from Figure 10, after background-subtracting on a 6 beamwidth scale, and the best-fit model (solid line). Circled points have been robust-Chauvenet rejected. 1D noise model from Figure 10 is included for comparison (dashed line). The 2D noise level is ≈28% higher, due to residual 1D structures (e.g., residual en-route drift) post-background subtraction. Right: same, but with a 24 beamwidth background-subtraction scale. In this case, the 2D noise level is ≈46% higher than the 1D noise level, because contaminants are less completely eliminated on longer background-subtraction scales (e.g., Figure 20).

Other Images in This Article

Show More

Copyright and Terms & Conditions