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# LSST Data Management System 

# Copyright 2008, 2009, 2010 LSST Corporation. 

# 

# This product includes software developed by the 

# LSST Project (http://www.lsst.org/). 

# 

# 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 LSST License Statement and 

# the GNU General Public License along with this program. If not, 

# see <http://www.lsstcorp.org/LegalNotices/>. 

# 

# The classes in this test are a little non-standard to reduce code 

# duplication and support automated unittest discovery. 

# A base class includes all the code that implements the testing and 

# itself inherits from unittest.TestCase. unittest automated discovery 

# will scan all classes that inherit from unittest.TestCase and invoke 

# any test methods found. To prevent this base class from being executed 

# the test methods are placed in a different class that does not inherit 

# from unittest.TestCase. The actual test classes then inherit from 

# both the testing class and the implementation class allowing test 

# discovery to only run tests found in the subclasses. 

 

import math 

import unittest 

 

import numpy as np 

 

import lsst.pipe.base 

import lsst.utils.tests 

import lsst.geom 

import lsst.afw.geom as afwGeom 

from lsst.afw.geom.wcsUtils import makeTanSipMetadata 

import lsst.afw.table as afwTable 

from lsst.meas.algorithms import LoadReferenceObjectsTask 

from lsst.meas.base import SingleFrameMeasurementTask 

from lsst.meas.astrom import FitTanSipWcsTask, setMatchDistance 

from lsst.meas.astrom.sip import makeCreateWcsWithSip 

 

 

class BaseTestCase: 

 

"""A test case for CreateWcsWithSip 

 

Use involves setting one class attribute: 

* MatchClass: match class, e.g. ReferenceMatch or SourceMatch 

 

This test is a bit messy because it exercises two templatings of makeCreateWcsWithSip, 

the underlying TAN-SIP WCS fitter, but only one of those is supported by FitTanSipWcsTask 

""" 

MatchClass = None 

 

def setUp(self): 

crval = lsst.geom.SpherePoint(44, 45, lsst.geom.degrees) 

crpix = lsst.geom.Point2D(15000, 4000) 

 

scale = 1 * lsst.geom.arcseconds 

cdMatrix = afwGeom.makeCdMatrix(scale=scale, flipX=True) 

self.tanWcs = afwGeom.makeSkyWcs(crpix=crpix, crval=crval, cdMatrix=cdMatrix) 

self.loadData() 

 

def loadData(self, rangePix=3000, numPoints=25): 

"""Load catalogs and make the match list 

 

This is a separate function so data can be reloaded if fitting more than once 

(each time a WCS is fit it may update the source catalog, reference catalog and match list) 

""" 

if self.MatchClass == afwTable.ReferenceMatch: 

refSchema = LoadReferenceObjectsTask.makeMinimalSchema( 

filterNameList=["r"], addFluxErr=True, addIsPhotometric=True) 

self.refCat = afwTable.SimpleCatalog(refSchema) 

elif self.MatchClass == afwTable.SourceMatch: 

refSchema = afwTable.SourceTable.makeMinimalSchema() 

self.refCat = afwTable.SourceCatalog(refSchema) 

else: 

raise RuntimeError("Unsupported MatchClass=%r" % (self.MatchClass,)) 

srcSchema = afwTable.SourceTable.makeMinimalSchema() 

SingleFrameMeasurementTask(schema=srcSchema) 

self.srcCoordKey = afwTable.CoordKey(srcSchema["coord"]) 

self.srcCentroidKey = afwTable.Point2DKey(srcSchema["slot_Centroid"]) 

self.srcCentroidKey_xErr = srcSchema["slot_Centroid_xErr"].asKey() 

self.srcCentroidKey_yErr = srcSchema["slot_Centroid_yErr"].asKey() 

self.sourceCat = afwTable.SourceCatalog(srcSchema) 

 

self.matches = [] 

 

for i in np.linspace(0., rangePix, numPoints): 

for j in np.linspace(0., rangePix, numPoints): 

src = self.sourceCat.addNew() 

refObj = self.refCat.addNew() 

 

src.set(self.srcCentroidKey, lsst.geom.Point2D(i, j)) 

src.set(self.srcCentroidKey_xErr, 0.1) 

src.set(self.srcCentroidKey_yErr, 0.1) 

 

c = self.tanWcs.pixelToSky(i, j) 

refObj.setCoord(c) 

 

if False: 

print("x,y = (%.1f, %.1f) pixels -- RA,Dec = (%.3f, %.3f) deg" % 

(i, j, c.toFk5().getRa().asDegrees(), c.toFk5().getDec().asDegrees())) 

 

self.matches.append(self.MatchClass(refObj, src, 0.0)) 

 

def tearDown(self): 

del self.refCat 

del self.sourceCat 

del self.matches 

del self.tanWcs 

 

def checkResults(self, fitRes, catsUpdated): 

"""Check results 

 

@param[in] fitRes a object with two fields: 

- wcs fit TAN-SIP WCS, an lsst.afw.geom.SkyWcs 

- scatterOnSky median on-sky scatter, an lsst.afw.geom.Angle 

@param[in] catsUpdated if True then coord field of self.sourceCat and centroid fields of self.refCat 

have been updated 

""" 

self.assertLess(fitRes.scatterOnSky.asArcseconds(), 0.001) 

tanSipWcs = fitRes.wcs 

maxAngSep = 0*lsst.geom.radians 

maxPixSep = 0 

refCoordKey = afwTable.CoordKey(self.refCat.schema["coord"]) 

if catsUpdated: 

refCentroidKey = afwTable.Point2DKey(self.refCat.schema["centroid"]) 

maxDistErr = 0*lsst.geom.radians 

for refObj, src, distRad in self.matches: 

srcPixPos = src.get(self.srcCentroidKey) 

refCoord = refObj.get(refCoordKey) 

if catsUpdated: 

refPixPos = refObj.get(refCentroidKey) 

srcCoord = src.get(self.srcCoordKey) 

else: 

refPixPos = tanSipWcs.skyToPixel(refCoord) 

srcCoord = tanSipWcs.pixelToSky(srcPixPos) 

 

angSep = refCoord.separation(srcCoord) 

dist = distRad*lsst.geom.radians 

distErr = abs(dist - angSep) 

maxDistErr = max(maxDistErr, distErr) 

maxAngSep = max(maxAngSep, angSep) 

 

pixSep = math.hypot(*(srcPixPos - refPixPos)) 

maxPixSep = max(maxPixSep, pixSep) 

 

print("max angular separation = %0.4f arcsec" % (maxAngSep.asArcseconds(),)) 

print("max pixel separation = %0.3f" % (maxPixSep,)) 

self.assertLess(maxAngSep.asArcseconds(), 0.001) 

self.assertLess(maxPixSep, 0.005) 

if catsUpdated: 

allowedDistErr = 1e-7 

else: 

allowedDistErr = 0.001 

self.assertLess(maxDistErr.asArcseconds(), allowedDistErr, 

"Computed distance in match list is off by %s arcsec" % (maxDistErr.asArcseconds(),)) 

 

def doTest(self, name, func, order=3, numIter=4, specifyBBox=False, doPlot=False, doPrint=False): 

"""Apply func(x, y) to each source in self.sourceCat, then fit and check the resulting WCS 

""" 

bbox = lsst.geom.Box2I() 

for refObj, src, d in self.matches: 

origPos = src.get(self.srcCentroidKey) 

x, y = func(*origPos) 

distortedPos = lsst.geom.Point2D(*func(*origPos)) 

src.set(self.srcCentroidKey, distortedPos) 

bbox.include(lsst.geom.Point2I(lsst.geom.Point2I(distortedPos))) 

 

tanSipWcs = self.tanWcs 

for i in range(numIter): 

if specifyBBox: 

sipObject = makeCreateWcsWithSip(self.matches, tanSipWcs, order, bbox) 

else: 

sipObject = makeCreateWcsWithSip(self.matches, tanSipWcs, order) 

tanSipWcs = sipObject.getNewWcs() 

setMatchDistance(self.matches) 

fitRes = lsst.pipe.base.Struct( 

wcs=tanSipWcs, 

scatterOnSky=sipObject.getScatterOnSky(), 

) 

 

if doPrint: 

print("TAN-SIP metadata fit over bbox=", bbox) 

metadata = makeTanSipMetadata( 

crpix=tanSipWcs.getPixelOrigin(), 

crval=tanSipWcs.getSkyOrigin(), 

cdMatrix=tanSipWcs.getCdMatrix(), 

sipA=sipObject.getSipA(), 

sipB=sipObject.getSipB(), 

sipAp=sipObject.getSipAp(), 

sipBp=sipObject.getSipBp(), 

) 

print(metadata.toString()) 

 

if doPlot: 

self.plotWcs(tanSipWcs, name=name) 

 

self.checkResults(fitRes, catsUpdated=False) 

 

if self.MatchClass == afwTable.ReferenceMatch: 

# reset source coord and reference centroid based on initial WCS 

afwTable.updateRefCentroids(wcs=self.tanWcs, refList=self.refCat) 

afwTable.updateSourceCoords(wcs=self.tanWcs, sourceList=self.sourceCat) 

 

fitterConfig = FitTanSipWcsTask.ConfigClass() 

fitterConfig.order = order 

fitterConfig.numIter = numIter 

fitter = FitTanSipWcsTask(config=fitterConfig) 

self.loadData() 

if specifyBBox: 

fitRes = fitter.fitWcs( 

matches=self.matches, 

initWcs=self.tanWcs, 

bbox=bbox, 

refCat=self.refCat, 

sourceCat=self.sourceCat, 

) 

else: 

fitRes = fitter.fitWcs( 

matches=self.matches, 

initWcs=self.tanWcs, 

bbox=bbox, 

refCat=self.refCat, 

sourceCat=self.sourceCat, 

) 

 

self.checkResults(fitRes, catsUpdated=True) 

 

def plotWcs(self, tanSipWcs, name=""): 

import matplotlib 

matplotlib.use("Agg") 

import matplotlib.pyplot as plt 

fileNamePrefix = "testCreateWcsWithSip_%s_%s" % (self.MatchClass.__name__, name) 

pnum = 1 

 

xs, ys, xc, yc = [], [], [], [] 

rs, ds, rc, dc = [], [], [], [] 

for ref, src, d in self.matches: 

xs.append(src.getX()) 

ys.append(src.getY()) 

refPixPos = tanSipWcs.skyToPixel(ref.getCoord()) 

xc.append(refPixPos[0]) 

yc.append(refPixPos[1]) 

rc.append(ref.getRa()) 

dc.append(ref.getDec()) 

srd = tanSipWcs.pixelToSky(src.get(self.srcCentroidKey)) 

rs.append(srd.getRa()) 

ds.append(srd.getDec()) 

xs = np.array(xs) 

ys = np.array(ys) 

xc = np.array(xc) 

yc = np.array(yc) 

 

plt.clf() 

plt.plot(xs, ys, "r.") 

plt.plot(xc, yc, "bx") 

fileName = "%s_%i.png" % (fileNamePrefix, pnum) 

plt.savefig(fileName) 

print("Wrote", fileName) 

pnum += 1 

 

plt.clf() 

plt.plot(xs, xc-xs, "b.") 

fileName = "%s_%i.png" % (fileNamePrefix, pnum) 

plt.xlabel("x(source)") 

plt.ylabel("x(ref - src)") 

plt.savefig(fileName) 

print("Wrote", fileName) 

pnum += 1 

 

plt.clf() 

plt.plot(rs, ds, "r.") 

plt.plot(rc, dc, "bx") 

fileName = "%s_%i.png" % (fileNamePrefix, pnum) 

plt.savefig(fileName) 

print("Wrote", fileName) 

pnum += 1 

 

plt.clf() 

for y in np.linspace(0, 4000, 5): 

x0, y0 = [], [] 

x1, y1 = [], [] 

for x in np.linspace(0., 4000., 401): 

x0.append(x) 

y0.append(y) 

rd = tanSipWcs.pixelToSky(x, y) 

xy = tanSipWcs.skyToPixel(rd) 

x1.append(xy[0]) 

y1.append(xy[1]) 

x0 = np.array(x0) 

x1 = np.array(x1) 

plt.plot(x0, x1-x0, "b-") 

fileName = "%s_%i.png" % (fileNamePrefix, pnum) 

plt.savefig(fileName) 

print("Wrote", fileName) 

pnum += 1 

 

 

class SideLoadTestCases: 

 

"""Base class implementations of testing methods. 

 

Explicitly does not inherit from unittest.TestCase""" 

 

def testTrivial(self): 

"""Add no distortion""" 

for order in (2, 4, 6): 

self.doTest("testTrivial", lambda x, y: (x, y), order=order) 

 

def testOffset(self): 

"""Add an offset""" 

for order in (2, 4, 6): 

self.doTest("testOffset", lambda x, y: (x + 5, y + 7), order=order) 

 

def testLinearX(self): 

"""Scale x, offset y""" 

for order in (2, 6): 

self.doTest("testLinearX", lambda x, y: (2*x, y + 7), order=order) 

 

def testLinearXY(self): 

"""Scale x and y""" 

self.doTest("testLinearXY", lambda x, y: (2*x, 3*y)) 

 

def testLinearYX(self): 

"""Add an offset to each point; scale in y and x""" 

for order in (2, 6): 

self.doTest("testLinearYX", lambda x, y: (x + 0.2*y, y + 0.3*x), order=order) 

 

def testQuadraticX(self): 

"""Add quadratic distortion in x""" 

for order in (4, 5): 

self.doTest("testQuadraticX", lambda x, y: (x + 1e-5*x**2, y), order=order) 

 

def testRadial(self): 

"""Add radial distortion""" 

radialTransform = afwGeom.makeRadialTransform([0, 1.01, 1e-8]) 

 

def radialDistortion(x, y): 

x, y = radialTransform.applyForward(lsst.geom.Point2D(x, y)) 

return (x, y) 

for order in (4, 5, 6): 

doPrint = order == 5 

self.doTest("testRadial", radialDistortion, order=order, doPrint=doPrint) 

 

# The test classes inherit from two base classes and differ in the match 

# class being used. 

 

 

class CreateWcsWithSipTestCaseReferenceMatch(BaseTestCase, SideLoadTestCases, lsst.utils.tests.TestCase): 

MatchClass = afwTable.ReferenceMatch 

 

 

class CreateWcsWithSipTestCaseSourceMatch(BaseTestCase, SideLoadTestCases, lsst.utils.tests.TestCase): 

MatchClass = afwTable.SourceMatch 

 

 

class MemoryTester(lsst.utils.tests.MemoryTestCase): 

pass 

 

 

def setup_module(module): 

lsst.utils.tests.init() 

 

 

373 ↛ 374line 373 didn't jump to line 374, because the condition on line 373 was never trueif __name__ == "__main__": 

lsst.utils.tests.init() 

unittest.main()