Table 1
Deconvolution results for the SL1M algorithm for a variety of regularisation parameters (λ) run against 37 800 visibilities simulated from a test image of 50 point sources on a 1024 × 1024 pixel grid.
| λ | Iter | L2 term | L1 term | Error | Error |
| (rms) | (max) | ||||
|
|
|||||
| 10-2 | 7000 | 8.3 × 10-3 | 1448 | 8.1 × 10-3 | 1.61 |
| 10-1 | 7000 | 4.7 × 10-2 | 655.5 | 4.6 × 10-3 | 0.90 |
| 1 | 4992 | 8.6 × 10-1 | 61.58 | 5.5 × 10-6 | 4.3 × 10-4 |
| 101 | 1860 | 4.8 | 60.62 | 3.9 × 10-6 | 1.1 × 10-3 |
| 102 | 1367 | 9.8 | 60.60 | 1.2 × 10-5 | 4.2 × 10-3 |
| 103 | 454 | 460 | 59.90 | 1.1 × 10-4 | 2.8 × 10-2 |
Notes. No noise has been added to the visibilities. The runs were limited to 7000 iterations or a change in total error of 1 part in 106. The error terms for Eq. (10) are shown separately in the third and fourth columns. The reconstruction errors are based on comparison with the original image. Note that the true L1 norm of the input data was 60.5996.
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