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# 

# LSST Data Management System 

# 

# Copyright 2008-2016 AURA/LSST. 

# 

# 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 <https://www.lsstcorp.org/LegalNotices/>. 

# 

import unittest 

import numpy as np 

 

import lsst.utils.tests 

import lsst.afw.detection as afwDet 

import lsst.geom as geom 

import lsst.afw.geom as afwGeom 

import lsst.afw.image as afwImage 

from lsst.log import Log 

import lsst.meas.algorithms as measAlg 

from lsst.meas.deblender.plugins import _fitPsf 

from lsst.meas.deblender.baseline import DeblendedPeak, CachingPsf 

 

doPlot = False 

37 ↛ 38line 37 didn't jump to line 38, because the condition on line 37 was never trueif doPlot: 

import matplotlib 

matplotlib.use('Agg') 

import pylab as plt 

print("doPlot is set -- saving plots to current directory.") 

else: 

print("doPlot is not set -- not saving plots. To enable plots, edit", __file__) 

 

 

class FitPsfTestCase(unittest.TestCase): 

 

def test1(self): 

 

# circle 

spans = afwGeom.SpanSet.fromShape(45, offset=(50, 50)) 

fp = afwDet.Footprint(spans) 

 

# 

psfsig = 1.5 

psffwhm = psfsig * 2.35 

psf1 = measAlg.DoubleGaussianPsf(11, 11, psfsig) 

 

psf2 = measAlg.DoubleGaussianPsf(100, 100, psfsig) 

 

fbb = fp.getBBox() 

print('fbb', fbb.getMinX(), fbb.getMaxX(), fbb.getMinY(), fbb.getMaxY()) 

 

fmask = afwImage.Mask(fbb) 

fmask.setXY0(fbb.getMinX(), fbb.getMinY()) 

fp.spans.setMask(fmask, 1) 

 

sig1 = 10. 

 

img = afwImage.ImageF(fbb) 

A = img.getArray() 

A += np.random.normal(0, sig1, size=(fbb.getHeight(), fbb.getWidth())) 

print('img x0,y0', img.getX0(), img.getY0()) 

print('BBox', img.getBBox()) 

 

peaks = afwDet.PeakCatalog(afwDet.PeakTable.makeMinimalSchema()) 

 

def makePeak(x, y): 

p = peaks.addNew() 

p.setFx(x) 

p.setFy(y) 

p.setIx(int(x)) 

p.setIy(int(y)) 

return p 

pk1 = makePeak(20., 30.) 

pk3 = makePeak(92., 50.) 

 

ibb = img.getBBox() 

iext = [ibb.getMinX(), ibb.getMaxX(), ibb.getMinY(), ibb.getMaxY()] 

ix0, iy0 = iext[0], iext[2] 

 

pbbs = [] 

pxys = [] 

 

fluxes = [10000., 5000., 5000.] 

for pk, f in zip(peaks, fluxes): 

psfim = psf1.computeImage(geom.Point2D(pk.getFx(), pk.getFy())) 

print('psfim x0,y0', psfim.getX0(), psfim.getY0()) 

pbb = psfim.getBBox() 

print('pbb', pbb.getMinX(), pbb.getMaxX(), pbb.getMinY(), pbb.getMaxY()) 

pbb.clip(ibb) 

print('clipped pbb', pbb.getMinX(), pbb.getMaxX(), pbb.getMinY(), pbb.getMaxY()) 

psfim = psfim.Factory(psfim, pbb) 

 

psfa = psfim.getArray() 

psfa /= psfa.sum() 

img.getArray()[pbb.getMinY() - iy0: pbb.getMaxY()+1 - iy0, 

pbb.getMinX() - ix0: pbb.getMaxX()+1 - ix0] += f * psfa 

 

pbbs.append((pbb.getMinX(), pbb.getMaxX(), pbb.getMinY(), pbb.getMaxY())) 

pxys.append((pk.getFx(), pk.getFy())) 

 

if doPlot: 

plt.clf() 

plt.imshow(img.getArray(), extent=iext, interpolation='nearest', origin='lower') 

ax = plt.axis() 

x0, x1, y0, y1 = fbb.getMinX(), fbb.getMaxX(), fbb.getMinY(), fbb.getMaxY() 

plt.plot([x0, x0, x1, x1, x0], [y0, y1, y1, y0, y0], 'k-') 

for x0, x1, y0, y1 in pbbs: 

plt.plot([x0, x0, x1, x1, x0], [y0, y1, y1, y0, y0], 'r-') 

for x, y in pxys: 

plt.plot(x, y, 'ro') 

plt.axis(ax) 

plt.savefig('img.png') 

 

varimg = afwImage.ImageF(fbb) 

varimg.set(sig1**2) 

 

psf_chisq_cut1 = psf_chisq_cut2 = psf_chisq_cut2b = 1.5 

 

# pkres = PerPeak() 

pkres = DeblendedPeak(pk1, 0, None) 

 

loglvl = Log.INFO 

# if verbose: 

# loglvl = Log.DEBUG 

log = Log.getLogger('tests.fit_psf') 

log.setLevel(loglvl) 

 

cpsf = CachingPsf(psf1) 

 

peaksF = [pk.getF() for pk in peaks] 

pkF = pk1.getF() 

 

_fitPsf(fp, fmask, pk1, pkF, pkres, fbb, peaks, peaksF, log, cpsf, psffwhm, 

img, varimg, 

psf_chisq_cut1, psf_chisq_cut2, psf_chisq_cut2b) 

for k in dir(pkres): 

if k.startswith('__'): 

continue 

print(' ', k, getattr(pkres, k)) 

 

cpsf = CachingPsf(psf2) 

_fitPsf(fp, fmask, pk1, pkF, pkres, fbb, peaks, peaksF, log, cpsf, psffwhm, 

img, varimg, 

psf_chisq_cut1, psf_chisq_cut2, psf_chisq_cut2b) 

for k in dir(pkres): 

if k.startswith('__'): 

continue 

print(' ', k, getattr(pkres, k)) 

 

pkF = pk3.getF() 

_fitPsf(fp, fmask, pk3, pkF, pkres, fbb, peaks, peaksF, log, cpsf, psffwhm, 

img, varimg, 

psf_chisq_cut1, psf_chisq_cut2, psf_chisq_cut2b) 

for k in dir(pkres): 

if k.startswith('__'): 

continue 

print(' ', k, getattr(pkres, k)) 

 

 

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

pass 

 

 

def setup_module(module): 

lsst.utils.tests.init() 

 

 

180 ↛ 181line 180 didn't jump to line 181, because the condition on line 180 was never trueif __name__ == "__main__": 

lsst.utils.tests.init() 

unittest.main()