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14 | 14 | import numpy as np |
15 | 15 |
|
16 | 16 | from xrayvision.clean import vis_clean |
17 | | -from xrayvision.forward_fit import vis_forward_fit |
18 | 17 | from xrayvision.imaging import vis_psf_map, vis_to_map |
19 | 18 | from xrayvision.mem import mem, resistant_mean |
| 19 | +from xrayvision.vis_forward_fit.forward_fit import vis_forward_fit |
| 20 | +from xrayvision.vis_forward_fit.sources import Source, SourceList |
20 | 21 |
|
21 | 22 | ############################################################################### |
22 | 23 | # Create images from STIX visibility data. |
|
69 | 70 | ############################################################################### |
70 | 71 | # VIS_FWD_FIT |
71 | 72 |
|
72 | | -vis_fwd_map = vis_forward_fit(stix_vis, shape=[129, 129] * apu.pixel, pixel_size=[1, 1] * apu.arcsec / apu.pix) |
| 73 | +sources = SourceList([Source("circular", 15, 1, 2, 5)]) |
| 74 | + |
| 75 | +vis_fwd_map = vis_forward_fit(stix_vis, sources, shape=[129, 129] * apu.pixel, pixel_size=[1, 1] * apu.arcsec / apu.pix) |
73 | 76 |
|
74 | 77 | vis_fwd_pso_map = vis_forward_fit( |
75 | | - stix_vis, method="PSO", shape=[129, 129] * apu.pixel, pixel_size=[1, 1] * apu.arcsec / apu.pix |
| 78 | + stix_vis, sources, method="PSO", shape=[129, 129] * apu.pixel, pixel_size=[1, 1] * apu.arcsec / apu.pix |
76 | 79 | ) |
77 | 80 |
|
78 | 81 | ############################################################################### |
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