1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
|
#include "griddingtaskfactory.h"
#include <limits>
#include "../idg/averagebeam.h"
#include "../io/imagefilename.h"
namespace wsclean {
void GriddingTaskFactory::AddFacet(
std::vector<GriddingTask>& tasks, const ImagingTableEntry& entry,
std::unique_ptr<AverageBeam> average_beam,
std::vector<aocommon::Image>&& model_images) {
assert(!tasks.empty()); // AddFacet adds a facet to an existing task.
if (!tasks.front().facets.empty()) {
// Both the first facet data and the entry should contain a facet, in the
// same facet group.
assert(tasks.front().facets.front().facet);
assert(entry.facet);
assert(tasks.front().facetGroupIndex == entry.facetGroupIndex);
}
double l_shift = l_shift_;
double m_shift = m_shift_;
if (entry.facet) {
const Settings& settings = image_weight_initializer_.GetSettings();
l_shift -= entry.centreShiftX * settings.pixelScaleX;
m_shift += entry.centreShiftY * settings.pixelScaleY;
} else {
assert(entry.facetIndex == 0);
}
tasks.back().facets.emplace_back(entry.facetIndex, l_shift, m_shift,
std::move(metadata_cache_[entry.index]),
std::move(average_beam), entry.facet,
std::move(model_images));
}
aocommon::PolarizationEnum GriddingTaskFactory::DeterminePolarization(
const ImagingTableEntry& entry) const {
const Settings& settings = image_weight_initializer_.GetSettings();
if (settings.gridderType == GridderType::IDG &&
settings.polarizations.size() != 1)
return aocommon::Polarization::FullStokes;
else
return entry.polarization;
}
GriddingTask GriddingTaskFactory::CreateBase(
const ImagingTableEntry& entry, ImageWeightCache& image_weight_cache,
bool is_first_task) {
GriddingTask task;
assert(entry.index <= std::numeric_limits<decltype(task.unique_id)>::max());
task.unique_id = entry.index;
task.observationInfo = observation_info_;
task.isFirstTask = is_first_task;
task.facetGroupIndex = entry.facetGroupIndex;
task.outputChannelIndex = entry.outputChannelIndex;
task.msList = ms_helper_.InitializeMsList(entry);
task.imageWeights = image_weight_initializer_.Initialize(entry, task.msList,
image_weight_cache);
return task;
}
std::vector<GriddingTask> GriddingTaskFactory::CreatePsfTasks(
const ImagingTable::Group& facet_group,
ImageWeightCache& image_weight_cache, bool combine_facets,
bool is_first_task) {
const bool store_imaging_weights =
image_weight_initializer_.GetSettings().writeImagingWeightSpectrumColumn;
std::vector<GriddingTask> tasks;
tasks.reserve(combine_facets ? 1 : facet_group.size());
for (const std::shared_ptr<ImagingTableEntry>& entry : facet_group) {
// During PSF imaging, the average beam will never exist, so it is not
// necessary to set the average beam in the task.
if (tasks.empty() || !combine_facets) { // Create a new task.
tasks.push_back(CreateBase(*entry, image_weight_cache, is_first_task));
tasks.back().operation = GriddingTask::Invert;
tasks.back().imagePSF = true;
tasks.back().polarization = entry->polarization;
tasks.back().subtractModel = false;
tasks.back().storeImagingWeights = store_imaging_weights;
}
AddFacet(tasks, *entry);
is_first_task = false;
}
return tasks;
}
std::vector<GriddingTask> GriddingTaskFactory::CreateInvertTasks(
const ImagingTable::Group& facet_group,
ImageWeightCache& image_weight_cache, bool combine_facets,
bool is_first_task, bool is_first_inversion,
std::vector<std::unique_ptr<AverageBeam>>&& average_beams) {
assert(average_beams.empty() || average_beams.size() == facet_group.size());
const Settings& settings = image_weight_initializer_.GetSettings();
std::vector<GriddingTask> tasks;
tasks.reserve(combine_facets ? 1 : facet_group.size());
for (std::size_t i = 0; i < facet_group.size(); ++i) {
const ImagingTableEntry& entry = *facet_group[i];
if (tasks.empty() || !combine_facets) { // Create a new task.
tasks.push_back(CreateBase(entry, image_weight_cache, is_first_task));
tasks.back().operation = GriddingTask::Invert;
tasks.back().imagePSF = false;
tasks.back().polarization = DeterminePolarization(entry);
tasks.back().subtractModel = !is_first_inversion ||
settings.subtractModel ||
settings.continuedRun;
tasks.back().storeImagingWeights =
is_first_inversion && settings.writeImagingWeightSpectrumColumn;
}
std::unique_ptr<AverageBeam> average_beam;
if (!average_beams.empty()) average_beam = std::move(average_beams[i]);
AddFacet(tasks, entry, std::move(average_beam));
is_first_task = false;
}
return tasks;
}
std::vector<GriddingTask> GriddingTaskFactory::CreatePredictTasks(
const ImagingTable::Group& facet_group,
ImageWeightCache& image_weight_cache, bool combine_facets,
std::vector<std::vector<aocommon::Image>>&& model_images,
std::vector<std::unique_ptr<AverageBeam>>&& average_beams) {
assert(model_images.size() == facet_group.size());
assert(average_beams.empty() || average_beams.size() == facet_group.size());
std::vector<GriddingTask> tasks;
tasks.reserve(combine_facets ? 1 : facet_group.size());
for (std::size_t i = 0; i < facet_group.size(); ++i) {
const ImagingTableEntry& entry = *facet_group[i];
if (tasks.empty() || !combine_facets) { // Create a new task.
tasks.push_back(CreateBase(entry, image_weight_cache, false));
tasks.back().operation = GriddingTask::Predict;
tasks.back().polarization = DeterminePolarization(entry);
}
std::unique_ptr<AverageBeam> average_beam;
if (!average_beams.empty()) average_beam = std::move(average_beams[i]);
AddFacet(tasks, entry, std::move(average_beam), std::move(model_images[i]));
}
return tasks;
}
} // namespace wsclean
|
