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Add unit tests for SkyCorrectionTask
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| # This file is part of pipe_tasks. | ||
| # | ||
| # Developed for the LSST Data Management System. | ||
| # This product includes software developed by the LSST Project | ||
| # (https://www.lsst.org). | ||
| # See the COPYRIGHT file at the top-level directory of this distribution | ||
| # for details of code ownership. | ||
| # | ||
| # This program is free software: you can redistribute it and/or modify | ||
| # it under the terms of the GNU General Public License as published by | ||
| # the Free Software Foundation, either version 3 of the License, or | ||
| # (at your option) any later version. | ||
| # | ||
| # This program is distributed in the hope that it will be useful, | ||
| # but WITHOUT ANY WARRANTY; without even the implied warranty of | ||
| # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the | ||
| # GNU General Public License for more details. | ||
| # | ||
| # You should have received a copy of the GNU General Public License | ||
| # along with this program. If not, see <https://www.gnu.org/licenses/>. | ||
|
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| import unittest | ||
| from copy import deepcopy | ||
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| import lsst.utils.tests | ||
| import numpy as np | ||
| from lsst.afw.image import ExposureF | ||
| from lsst.afw.math import BackgroundMI | ||
| from lsst.obs.subaru import HyperSuprimeCam | ||
| from lsst.pipe.tasks.skyCorrection import SkyCorrectionConfig, SkyCorrectionTask | ||
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| class SkyCorrectionTestCase(lsst.utils.tests.TestCase): | ||
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| def setUp(self): | ||
| hsc = HyperSuprimeCam() | ||
| self.camera = hsc.getCamera() | ||
| bbox = self.camera[0].getBBox() | ||
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| self.skyCorrectionConfig = SkyCorrectionConfig() | ||
| self.skyCorrectionConfig.doMaskObjects = False | ||
| # Set bgModel1 size to a single bin for the whole plane (aka constant) | ||
| self.skyCorrectionConfig.bgModel1.xSize = 8192 * 0.015 | ||
| self.skyCorrectionConfig.bgModel1.ySize = 8192 * 0.015 | ||
| self.skyCorrectionConfig.bgModel1.pixelSize = 0.015 | ||
| self.skyCorrectionConfig.bgModel2.xSize = 256 * 0.015 | ||
| self.skyCorrectionConfig.bgModel2.ySize = 256 * 0.015 | ||
| self.skyCorrectionConfig.bgModel2.pixelSize = 0.015 | ||
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| # Generate calexp/calexpBackground/sky for the central 6 HSC detectors | ||
| self.calExps = [] | ||
| self.calBkgs = [] | ||
| self.skyFrames = [] | ||
| self.background_level = 3000 | ||
| self.sky_level = 5 | ||
| for detector in [42, 50]: | ||
| rng = np.random.default_rng(detector) | ||
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| # Science image | ||
| calexp = ExposureF(bbox) | ||
| calexp.maskedImage.set(0.0, 0x0, 650.0) | ||
| calexp.setDetector(self.camera[detector]) | ||
| # Add a sky frame signature to a subregion of the image | ||
| x_start = 32 * 32 | ||
| x_stop = 64 * 32 | ||
| y_start = 16 * 32 | ||
| y_stop = 32 * 32 | ||
| calexp.image.array[x_start:x_stop, :] += self.sky_level | ||
| calexp.image.array[:, y_start:y_stop] += self.sky_level | ||
| # Add random noise | ||
| calexp.image.array += rng.normal(0.0, 25.0, (bbox.getDimensions().y, bbox.getDimensions().x)) | ||
| self.calExps.append(calexp) | ||
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| # Background image | ||
| backgroundImage = ExposureF(bbox) | ||
| backgroundImage.maskedImage.set(0.0, 0x0, 1.0) | ||
| backgroundImage.setDetector(self.camera[detector]) | ||
| backgroundImage.image.array += self.background_level | ||
| background = BackgroundMI(bbox, backgroundImage.getMaskedImage()) | ||
| calexpBackground = lsst.afw.math.BackgroundList( | ||
| ( | ||
| background, | ||
| lsst.afw.math.Interpolate.CONSTANT, | ||
| lsst.afw.math.UndersampleStyle.REDUCE_INTERP_ORDER, | ||
| lsst.afw.math.ApproximateControl.UNKNOWN, | ||
| 0, | ||
| 0, | ||
| False, | ||
| ) | ||
| ) | ||
| self.calBkgs.append(calexpBackground) | ||
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| # Sky frame | ||
| sky = ExposureF(64, 131) | ||
| sky.maskedImage.set(0.0, 0x0, 1.0) | ||
| sky.setDetector(self.camera[detector]) | ||
| header = sky.getMetadata() | ||
| header.set("BOX.MINX", bbox.getMinX()) | ||
| header.set("BOX.MINY", bbox.getMinY()) | ||
| header.set("BOX.MAXX", bbox.getMaxX()) | ||
| header.set("BOX.MAXY", bbox.getMaxY()) | ||
| header.set("ALGORITHM", "NATURAL_SPLINE") | ||
| sky.image.array[:, 16:32] += 1 | ||
| sky.image.array[32:64, :] += 1 | ||
| # Add random noise | ||
| sky.image.array += rng.normal(0.0, 0.1, (131, 64)) | ||
| sky.image.array -= np.sum(sky.image.array) / (131 * 64) | ||
| self.skyFrames.append(sky) | ||
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| def tearDown(self): | ||
| del self.camera | ||
| del self.calExps | ||
| del self.calBkgs | ||
| del self.skyFrames | ||
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| def testSkyCorrectionDefault(self): | ||
| """Test SkyCorrectionTask with mostly default configuration values.""" | ||
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| skyCorrectionTask = SkyCorrectionTask(config=self.skyCorrectionConfig) | ||
| # Pass in deep copies, as the task modifies the input data | ||
| results = skyCorrectionTask.run( | ||
| deepcopy(self.calExps), deepcopy(self.calBkgs), self.skyFrames, self.camera | ||
| ) | ||
| skyFrameScale = results.skyFrameScale | ||
| skyCorr = results.skyCorr | ||
| self.assertEqual(len(skyCorr), len(self.calExps)) | ||
| self.assertAlmostEqual(skyFrameScale, self.sky_level, delta=2e-1) | ||
| self.assertAlmostEqual(np.nanmean(results.calExpMosaic.array), 0, delta=1e-2) | ||
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| def testSkyCorrectionSkyFrameOnly(self): | ||
| """Test SkyCorrectionTask with the config undoBgModel1 set to True.""" | ||
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| skyCorrectionConfig = deepcopy(self.skyCorrectionConfig) | ||
| skyCorrectionConfig.undoBgModel1 = True | ||
| skyCorrectionConfig.doBgModel2 = False | ||
| skyCorrectionTask = SkyCorrectionTask(config=skyCorrectionConfig) | ||
| # Pass in deep copies, as the task modifies the input data | ||
| results = skyCorrectionTask.run( | ||
| deepcopy(self.calExps), deepcopy(self.calBkgs), self.skyFrames, self.camera | ||
| ) | ||
| self.assertAlmostEqual( | ||
| np.nanmean(results.calExpMosaic.array), | ||
| np.nanmean(self.calExps[0].image.array) + self.background_level, | ||
| delta=1e-2, | ||
| ) | ||
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| class MemoryTester(lsst.utils.tests.MemoryTestCase): | ||
| pass | ||
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| def setup_module(module): | ||
| lsst.utils.tests.init() | ||
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| if __name__ == "__main__": | ||
| lsst.utils.tests.init() | ||
| unittest.main() |