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 3.

First row: simulation of a point source sampled with a Gaussian beam pattern on a 1/5 beamwidth grid, recovered using, from left to right: 1 beamwidth weighted averaging, 2/3 beamwidth weighted averaging, 1/2 beamwidth weighted averaging, and weighted modeling, as described in Section 3.7. Second row: residual error associated with each of these techniques. Third row: Cassiopeia A observed with one of the 20 m’s L-band linear polarization channels using a 1/5 beamwidth raster and recovered using the above techniques. Weighted averaging fails to recover the telescope’s beam pattern, which is structured. Fourth row: difference between each of these techniques and weighted modeling. Square-root and squared scalings are used in the third and fourth rows, respectively, to emphasize fainter beam structure (units are dimensionless, with one corresponding to the noise diode; see Section 3.1.)

Other Images in This Article

Show More

Copyright and Terms & Conditions