def _addDefects(self, dataId, amp=None, ccd=None):
"""Add the defects for an amplifier or a CCD to the detector object
for that amplifier/CCD.
@param dataId (dict) Dataset identifier
@param[in,out] amp (lsst.afw.cameraGeom.Detector)
@param[in,out] ccd (lsst.afw.cameraGeom.Detector)
Exactly one of amp or ccd should be specified."""
if ccd is None:
ccd = afwCameraGeom.cast_Ccd(amp.getParent())
if len(ccd.getDefects()) > 0:
# Assume we have loaded them properly already
return
defectFits = self._defectLookup(dataId, ccd.getId().getSerial())
if defectFits is not None:
defectDict = cameraGeomUtils.makeDefectsFromFits(defectFits)
ccdDefects = None
for k in defectDict.keys():
if k == ccd.getId():
ccdDefects = defectDict[k]
break
if ccdDefects is None:
raise RuntimeError, "No defects for ccd %s in %s" % \
(str(ccd.getId()), defectFits)
ccd.setDefects(ccdDefects)
def makeImageFromRaft(raft, imageSource=SynthesizeCcdImage(), raftCenter=None,
imageFactory=afwImage.ImageU, bin=1):
"""Make an Image of a Raft"""
if raftCenter is None:
raftCenter = afwGeom.Point2I(raft.getAllPixels().getDimensions()//2)
raftImage = imageFactory(raft.getAllPixels().Dimensions()//bin)
for det in raft:
ccd = cameraGeom.cast_Ccd(det)
bbox = ccd.getAllPixels(True)
cen = getCenterPixel()
origin = afwGeom.PointI(cen[0], cen[1]) - \
bbox.getDimensions()/2 + \
afwGeom.Extent2I(raftCenter[0], raftCenter[1])
bbox = afwGeom.Box2I(afwGeom.Point2I((origin.getX() + bbox.getMinX())//bin,
(origin.getY() + bbox.getMinY())//bin),
bbox.getDimensions()//bin)
ccdImage = raftImage.Factory(raftImage, bbox, afwImage.LOCAL)
ccdImage <<= makeImageFromCcd(ccd, imageSource, imageFactory=imageFactory, isTrimmed=True, bin=bin)
return raftImage
def skyMapToCamera(self, dataIds):
"""Make a minimal camera based on the skymap; ONLY DESIGNED TO WORK WITH 1 TRACT (sorry, future developer)"""
tracts = set(x["tract"] for x in dataIds)
assert(len(tracts) == 1)
self.tract = tracts.pop()
cols = set([x["patch"][0] for x in dataIds]) # x
rows = set([x["patch"][1] for x in dataIds]) # y
col0 = min(cols)
row0 = min(rows)
ncols = max(cols) - col0 + 1
nrows = max(rows) - row0 + 1
origBBox = afwGeom.Box2I()
raftId = cameraGeom.Id(0, str(self.tract))
raft = cameraGeom.Raft(raftId, ncols, nrows)
for nId, dataId in enumerate(dataIds):
patch = self.skyMap[self.tract].getPatchInfo(dataId["patch"])
detId = cameraGeom.Id(nId, "%d-%d,%d" % (self.tract, patch.getIndex()[0], patch.getIndex()[1]))
bbox = patch.getInnerBBox() # outer bbox overlaps, inner doesn't
origBBox.include(bbox) # capture the full extent of the skymap
bbox.shift(-afwGeom.Extent2I(bbox.getBegin())) # need the bbox to be w.r.t. the raft coord system; i.e. 0
ccd = cameraGeomUtils.makeDefaultCcd(bbox, detId=detId)
col = patch.getIndex()[0] - col0
row = patch.getIndex()[1] - row0
xc = bbox.getBeginX() + 0.5 * bbox.getWidth()
yc = bbox.getBeginY() + 0.5 * bbox.getHeight()
raft.addDetector(afwGeom.Point2I(col, row),
cameraGeom.FpPoint(afwGeom.Point2D(xc, yc)),
cameraGeom.Orientation(),
ccd)
raftBbox = raft.getAllPixels()
xc = origBBox.getBeginX() + 0.5 * origBBox.getWidth()
yc = origBBox.getBeginY() + 0.5 * origBBox.getHeight()
cameraId = cameraGeom.Id(0, "Skymap")
camera = cameraGeom.Camera(cameraId, 1, 1)
camera.addDetector(afwGeom.Point2I(0, 0),
cameraGeom.FpPoint(afwGeom.Point2D(xc, yc)),
cameraGeom.Orientation(), raft)
self.camera = camera
# Now, redo the assignments in __init__
for r in self.camera:
raft = cameraGeom.cast_Raft(r)
raftName = raft.getId().getName().strip()
self.detectors[raftName] = raft
self.rafts[raftName] = raft
for c in raft:
ccd = cameraGeom.cast_Ccd(c)
ccdName = ccd.getId().getName().strip()
self.detectors[ccdName] = ccd
self.sensors[ccdName] = ccd
self.nSensor += 1
self.raftCcdKeys.append([raftName, ccdName])
def detectorIsCcd(exposure):
"""Is the detector referred to by the exposure a Ccd?
@param exposure Exposure to inspect
@returns True if exposure's detector is a Ccd
"""
det = exposure.getDetector()
ccd = cameraGeom.cast_Ccd(det)
return False if ccd is None else True
def findCcd(parent, id):
"""Find the Ccd with the specified Id within the composite"""
if isinstance(parent, cameraGeom.Camera):
for d in parent:
ccd = findCcd(cameraGeom.cast_Raft(d), id)
if ccd:
return ccd
elif isinstance(parent, cameraGeom.Raft):
try:
return cameraGeom.cast_Ccd(parent.findDetector(id))
except:
pass
else:
if parent.getId() == id:
return cameraGeom.cast_Ccd(parent)
return None
def detectorIsCcd(exposure):
"""Is the detector referred to by the exposure a Ccd?
@param exposure Exposure to inspect
@returns True if exposure's detector is a Ccd
"""
det = exposure.getDetector()
ccd = cameraGeom.cast_Ccd(det)
return False if ccd is None else True
def testRaft(self):
"""Test if we can build a Raft out of Ccds"""
#print >> sys.stderr, "Skipping testRaft"; return
raftId = cameraGeom.Id("Raft")
raftInfo = {"ampSerial" : CameraGeomTestCase.ampSerial}
raft = cameraGeomUtils.makeRaft(self.geomPolicy, raftId, raftInfo=raftInfo)
if display:
cameraGeomUtils.showRaft(raft)
ds9.incrDefaultFrame()
if False:
print cameraGeomUtils.describeRaft(raft)
self.assertEqual(raft.getAllPixels().getWidth(), raftInfo["width"])
self.assertEqual(raft.getAllPixels().getHeight(), raftInfo["height"])
for x, y, serial, cen in [( 0, 0, 5, (-1.01, -2.02)),
(150, 250, 21, (-1.01, 0.0 )),
(250, 250, 29, ( 1.01, 0.0 )),
(300, 500, 42, ( 1.01, 2.02))]:
det = raft.findDetectorPixel(afwGeom.Point2D(x, y))
ccd = cameraGeom.cast_Ccd(det)
if False:
print x, y, det.getId().getName(), \
ccd.findAmp(afwGeom.Point2I(150, 152), True).getId().getSerial()
if False: # XXX
self.assertEqual(ccd.findAmp(afwGeom.PointI(150, 152), True).getId().getSerial(), serial)
for i in range(2):
self.assertAlmostEqual(ccd.getCenter()[i], cen[i])
name = "C:0,2"
self.assertEqual(raft.findDetector(cameraGeom.Id(name)).getId().getName(), name)
self.assertEqual(raft.getSize()[0], raftInfo["widthMm"])
self.assertEqual(raft.getSize()[1], raftInfo["heightMm"])
#
# Test mapping pixel <--> mm
#
ps = raft.getPixelSize()
for ix, iy, x, y in [(102, 500, -1.01, 2.02),
(306, 100, 1.01, -2.02),
(306, 500, 1.01, 2.02),
(356, 525, 1.51, 2.27),
]:
pix = afwGeom.Point2I(ix, iy) # wrt raft LLC
#position of pixel center
pos = afwGeom.Point2D(x+ps/2., y+ps/2.) # wrt raft center
#position of pixel lower left corner which is returned by getPositionFromPixel()
posll = afwGeom.Point2D(x, y) # wrt raft center
rpos = raft.getPixelFromPosition(pos)
rpos = afwGeom.PointI(int(rpos.getX()), int(rpos.getY()))
self.assertEqual(rpos, pix)
self.assertEqual(raft.getPositionFromPixel(afwGeom.Point2D(pix[0], pix[1])), posll)
def __init__(self, name, dataInfo, camera=None):
"""
@param name A name for this camera
@param dataInfo List of dataId [name,distinguisher] pairs (distinguisher now depricated)
@param camera LSST camera object for this camera
"""
self.name = name
self.dataInfo = dataInfo
self.camera = camera
self.rafts = {}
self.sensors = {}
self.detectors = {}
self.nSensor = 0
self.raftCcdKeys = []
if self.camera is None:
return
self.rawName = "raw"
self.ccdNamesBySerial = {}
for r in self.camera:
raft = cameraGeom.cast_Raft(r)
raftName = raft.getId().getName().strip()
self.detectors[raftName] = raft
self.rafts[raftName] = raft
for c in raft:
ccd = cameraGeom.cast_Ccd(c)
ccdId = ccd.getId()
ccdName = ccdId.getName().strip()
ccdSerial = ccdId.getSerial()
self.detectors[ccdName] = ccd
self.sensors[ccdName] = ccd
self.nSensor += 1
self.raftCcdKeys.append([raftName, ccdName])
self.ccdNamesBySerial[ccdSerial] = ccdName
self.dataIdTranslationMap = {
# standard : camera
'visit' : 'visit',
'snap' : 'snap',
'raft' : 'raft',
'sensor' : 'sensor',
}
self.dataIdDbNames = {
'visit' : 'visit',
'raft' : 'raftName',
'sensor' : 'ccdName',
'snap' : 'snap',
}
def testCamera(self):
"""Test if we can build a Camera out of Rafts"""
#print >> sys.stderr, "Skipping testCamera"; return
cameraInfo = {"ampSerial" : CameraGeomTestCase.ampSerial}
camera = cameraGeomUtils.makeCamera(self.geomPolicy, cameraInfo=cameraInfo)
if display:
cameraGeomUtils.showCamera(camera, )
ds9.incrDefaultFrame()
if False:
print cameraGeomUtils.describeCamera(camera)
self.assertEqual(camera.getAllPixels().getWidth(), cameraInfo["width"])
self.assertEqual(camera.getAllPixels().getHeight(), cameraInfo["height"])
for rx, ry, cx, cy, serial, cen in [(0, 0, 0, 0, 4, (-3.12, -2.02)),
(0, 0, 150, 250, 20, (-3.12, 0.00)),
(600, 300, 0, 0, 52, ( 1.10, -2.02)),
(600, 300, 150, 250, 68, ( 1.10, 0.00)),
]:
raft = cameraGeom.cast_Raft(camera.findDetectorPixel(afwGeom.PointD(rx, ry)))
ccd = cameraGeom.cast_Ccd(raft.findDetectorPixel(afwGeom.Point2D(cx, cy)))
if False:
self.assertEqual(ccd.findAmp(afwGeom.PointI(153, 152), True).getId().getSerial(), serial)
for i in range(2):
self.assertAlmostEqual(ccd.getCenter()[i], cen[i])
name = "R:1,0"
self.assertEqual(camera.findDetector(cameraGeom.Id(name)).getId().getName(), name)
self.assertEqual(camera.getSize()[0], cameraInfo["widthMm"])
self.assertEqual(camera.getSize()[1], cameraInfo["heightMm"])
ps = raft.getPixelSize()
#
# Test mapping pixel <--> mm
#
for ix, iy, x, y in [(102, 500, -3.12, 2.02),
(152, 525, -2.62, 2.27),
(714, 500, 3.12, 2.02),
]:
pix = afwGeom.PointD(ix, iy) # wrt raft LLC
pos = afwGeom.PointD(x, y) # center of pixel wrt raft center
posll = afwGeom.PointD(x, y) # llc of pixel wrt raft center
self.assertEqual(camera.getPixelFromPosition(pos), pix)
self.assertEqual(camera.getPositionFromPixel(pix), posll)
# Check that we can find an Amp in the bowels of the camera
ccdName = "C:0,0"
amp = cameraGeomUtils.findAmp(camera, cameraGeom.Id(ccdName), 1, 2)
self.assertEqual(amp.getId().getName(), "ID6")
self.assertEqual(amp.getParent().getId().getName(), ccdName)
def getDataArray(self):
arr = []
for r in self.camera:
raft = cameraGeom.cast_Raft(r)
rlabel = raft.getId().getName()
for c in raft:
ccd = cameraGeom.cast_Ccd(c)
clabel = ccd.getId().getName()
arr.append(self.data[rlabel][clabel][2])
return numpy.array(arr)
def getDataArray(self):
arr = []
for r in self.camera:
raft = cameraGeom.cast_Raft(r)
rlabel = raft.getId().getName()
for c in raft:
ccd = cameraGeom.cast_Ccd(c)
clabel = ccd.getId().getName()
arr.append(self.data[rlabel][clabel][2])
return numpy.array(arr)
def process(self, clipboard):
"""
"""
self.log.log(Log.INFO, "Doing Saturation correction.")
#grab exposure from clipboard
exposure = clipboard.get(self.policy.getString("inputKeys.exposure"))
exposure = ipIsr.convertImageForIsr(exposure)
fwhm = self.policy.getDouble("parameters.defaultFwhm")
amp = cameraGeom.cast_Amp(exposure.getDetector())
dataBbox = amp.getDataSec(True)
x = dataBbox.getMinX()
y = dataBbox.getMinY()
height = dataBbox.getMaxY() - dataBbox.getMinY()
width = dataBbox.getMaxY() - dataBbox.getMinX()
dl = measAlg.DefectListT()
defectList = cameraGeom.cast_Ccd(amp.getParent()).getDefects()
if amp.getId().getIndex()[1] == 1:
for d in defectList:
d1 = measAlg.Defect(d.getBBox())
d1.shift(-x, -y)
bbox = d1.getBBox()
if bbox.getMinX() - 4 > width or bbox.getMaxY() - 4 < 0 or \
height - bbox.getMinY() - 1 > height or height - bbox.getMaxY() - 1 < 0:
pass
else:
nd = measAlg.Defect(afwGeom.Box2I(
afwGeom.Point2I(bbox.getMinX() + 4, height - bbox.getMinY() + 1),
bbox.getDimensions()))
dl.append(nd)
else:
for d in defectList:
d1 = measAlg.Defect(d.getBBox())
d1.shift(-x, -y)
bbox = d1.getBBox()
if bbox.getMinX() - 4 > width or bbox.getMaxY() - 4 < 0 or \
bbox.getMinY() - 1 > height or bbox.getMaxY() - 1 < 0:
pass
else:
nd = measAlg.Defect(afwGeom.Box2I(
bbox.getMin() + afwGeom.Extent2I(4, 1),
bbox.getDimensions()))
dl.append(nd)
saturation = amp.getElectronicParams().getSaturationLevel()
ipIsr.maskBadPixelsDef(exposure, dl,
fwhm, interpolate=True, maskName='BAD')
ipIsr.saturationCorrection(exposure, int(saturation), fwhm,
growSaturated=False, interpolate=True)
#ds9.mtv(exposure, frame = 0, title = "my Amp")
#exposure.writeFits("Amp.fits")
#output products
clipboard.put(self.policy.get("outputKeys.saturationCorrectedExposure"),
exposure)
def getCcd(exposure, allowRaise=True):
"""Get the Ccd referred to by an exposure
@param exposure Exposure to inspect
@param allowRaise If False, return None if the CCD can't be found rather than raising an exception
@returns Ccd
"""
det = exposure.getDetector()
ccd = cameraGeom.cast_Ccd(det)
if ccd is not None:
return ccd
amp = cameraGeom.cast_Amp(det)
if amp is not None:
det = amp.getParent()
ccd = cameraGeom.cast_Ccd(det)
return ccd
if allowRaise:
raise RuntimeError("Can't find Ccd from detector.")
else:
return None
def main(rootDir, tract, visits, ccds=None, showPatch=False):
butler = dafPersist.Butler(rootDir)
##################
### draw the CCDs
ras, decs = [], []
for i_v, visit in enumerate(visits):
print i_v, visit
ccdList = [camGeom.cast_Ccd(ccd) for ccd in camGeom.cast_Raft(butler.get("camera")[0])]
for ccd in ccdList:
bbox = ccd.getAllPixels()
ccdId = ccd.getId().getSerial()
if (ccds is None or ccdId in ccds) and ccdId < 104:
dataId = {'tract': 0, 'visit': visit, 'ccd': ccdId}
try:
wcs = afwImage.makeWcs(butler.get("calexp_md", dataId))
except:
pass
ra, dec = bboxToRaDec(bbox, wcs)
ras += ra
decs += dec
color = ('r', 'b', 'c', 'g', 'm')[i_v%5]
pyplot.fill(ra, dec, fill=True, alpha=0.2, color=color, edgecolor=color)
buff = 0.1
xlim = max(ras)+buff, min(ras)-buff
ylim = min(decs)-buff, max(decs)+buff
###################
### draw the skymap
if showPatch:
skymap = butler.get('deepCoadd_skyMap', {'tract':0})
for tract in skymap:
for patch in tract:
ra, dec = bboxToRaDec(patch.getInnerBBox(), tract.getWcs())
pyplot.fill(ra, dec, fill=False, edgecolor='k', lw=1, linestyle='dashed')
if xlim[1] < percent(ra) < xlim[0] and ylim[0] < percent(dec) < ylim[1]:
pyplot.text(percent(ra), percent(dec, 0.9), str(patch.getIndex()),
fontsize=6, horizontalalignment='center', verticalalignment='top')
######################
### add labels as save
ax = pyplot.gca()
ax.set_xlabel("R.A. (deg)")
ax.set_ylabel("Decl. (deg)")
ax.set_xlim(xlim)
ax.set_ylim(ylim)
fig = pyplot.gcf()
fig.savefig("patches.png")
def process(self, clipboard):
"""
"""
self.log.log(Log.INFO, "Doing CCD defect mask.")
#grab exposure from clipboard
exposure = clipboard.get(self.policy.getString("inputKeys.ccdExposure"))
#get known defects from camera class
defectBaseList = cameraGeom.cast_Ccd(exposure.getDetector()).getDefects()
id = exposure.getDetector().getId()
defectList = measAlg.DefectListT()
#create master list of defects and add those from the camera class
for d in defectBaseList:
bbox = d.getBBox()
nd = measAlg.Defect(bbox)
defectList.append(nd)
fwhm = self.policy.getDouble("parameters.defaultFwhm")
#get saturated pixels from the mask
sdefects = ipIsr.defectListFromMask(exposure, growFootprints=1, maskName='SAT')
#mask bad pixels in the camera class
ipIsr.maskBadPixelsDef(exposure, defectList,
fwhm, interpolate=False, maskName='BAD')
#add saturated pixels to master defect list
for d in sdefects:
bbox = d.getBBox()
nd = measAlg.Defect(bbox)
defectList.append(nd)
#find unmasked bad pixels and mask them
exposure.getMaskedImage().getMask().addMaskPlane("UNMASKEDNAN")
unc = ipIsr.UnmaskedNanCounterF()
unc.apply(exposure.getMaskedImage())
nnans = unc.getNpix()
metadata = exposure.getMetadata()
metadata.set("NUMNANS", nnans)
if nnans == 0:
self.log.log(Log.INFO, "Zero unmasked nans/infs were found, which is good.")
else:
self.log.log(Log.INFO, "%i unmasked nans/infs found in ccd exposure: %s"%(nnans, id.__str__()))
#get footprints of bad pixels not in the camera class
undefects = ipIsr.defectListFromMask(exposure, growFootprints=0, maskName='UNMASKEDNAN')
for d in undefects:
bbox = d.getBBox()
nd = measAlg.Defect(bbox)
defectList.append(nd)
#interpolate all bad pixels
ipIsr.interpolateDefectList(exposure, defectList, fwhm)
#output products
clipboard.put(self.policy.get("outputKeys.defectMaskedCcdExposure"),
exposure)
def __init__(self, figure, camera, rect=(0.08, 0.08, 0.84, 0.84)):
self.figure = figure
self.camera = camera
self.rect = rect
self.detectors = {}
self.amps = {}
# use same rect as figure.add_axes(rect) to avoid confusion
l, b, w, h = self.rect
self.fig_left = l
self.fig_bottom = b
self.fig_width = w
self.fig_height = h
l_cam, b_cam, r_cam, t_cam = 1.0e6, 1.0e6, -1.0e6, -1.0e6
for r in self.camera:
raft = camGeom.cast_Raft(r)
for c in raft:
ccd = camGeom.cast_Ccd(c)
serial = ccd.getId().getSerial()
self.detectors[serial] = ccd
cc = ccd.getCenter().getPixels(ccd.getPixelSize())
cxc, cyc = cc.getX(), cc.getY()
cbbox = ccd.getAllPixels(True)
cwidth = cbbox.getMaxX() - cbbox.getMinX()
cheight = cbbox.getMaxY() - cbbox.getMinY()
l_cam = min(l_cam, cxc - cwidth/2)
b_cam = min(b_cam, cyc - cheight/2)
r_cam = max(r_cam, cxc + cwidth/2)
t_cam = max(t_cam, cyc + cheight/2)
self.amps[serial] = []
for a in ccd:
amp = camGeom.cast_Amp(a)
self.amps[serial].append(amp)
self.camera_width = r_cam - l_cam
self.camera_height = t_cam - b_cam
extent = afwGeom.Extent2D(self.camera_width, self.camera_height)
self.camera_bbox = afwGeom.Box2D(afwGeom.Point2D(0.0, 0.0), extent)
#print "Camera", self.camera_bbox
self.axes = {}
def __init__(self, camera, scale=16.0):
self.camera = camera
self.detectors = {}
self.amps = {}
self.xy0 = {}
self.dims = {}
self.used = set()
self.nQuarter = {}
l_cam, b_cam, r_cam, t_cam = 1.0e6, 1.0e6, -1.0e6, -1.0e6
for r in self.camera:
raft = camGeom.cast_Raft(r)
for c in raft:
ccd = camGeom.cast_Ccd(c)
serial = ccd.getId().getSerial()
self.detectors[serial] = ccd
cc = ccd.getCenter().getPixels(ccd.getPixelSize())
cxc, cyc = cc.getX(), cc.getY()
cbbox = ccd.getAllPixels(True)
cwidth = cbbox.getMaxX() - cbbox.getMinX()
cheight = cbbox.getMaxY() - cbbox.getMinY()
x0, y0 = int(cxc - cwidth / 2.0), int(cyc - cheight / 2.0)
self.xy0[serial] = (x0, y0)
self.dims[serial] = (cwidth / scale, cheight / scale)
self.nQuarter[serial] = ccd.getOrientation().getNQuarter()
l_cam = min(l_cam, x0)
b_cam = min(b_cam, y0)
r_cam = max(r_cam, cxc + cwidth / 2)
t_cam = max(t_cam, cyc + cheight / 2)
for k, v in self.xy0.items():
self.xy0[k] = [
int(x)
for x in ((v[0] - l_cam) / scale, (v[1] - b_cam) / scale)
]
self.camera_width = r_cam - l_cam
self.camera_height = t_cam - b_cam
extent = afwGeom.Extent2D(self.camera_width, self.camera_height)
self.camera_bbox = afwGeom.Box2D(afwGeom.Point2D(0.0, 0.0), extent)
self.image = numpy.zeros(
(self.camera_height / scale, self.camera_width / scale))
def testRaw(self):
"""Test retrieval of raw image"""
for ccd in range(12):
raw = self.butler.get("raw", self.dataId, ccd=ccd)
self.assertExposure(raw, ccd)
if display:
ccd = cameraGeom.cast_Ccd(raw.getDetector())
for amp in ccd:
amp = cameraGeom.cast_Amp(amp)
print ccd.getId(), amp.getId(), amp.getDataSec().toString(), \
amp.getBiasSec().toString(), amp.getElectronicParams().getGain()
cameraGeomUtils.showCcd(ccd, ccdImage=raw, frame=frame)
frame += 1
def testRaw(self):
"""Test retrieval of raw image"""
ccd = 'VIRGO1'
raw = self.butler.get("raw", self.dataId, ccd=ccd)
self.assertExposure(raw, ccd)
if display:
ccd = cameraGeom.cast_Ccd(raw.getDetector())
for amp in ccd:
amp = cameraGeom.cast_Amp(amp)
print ccd.getId(), amp.getId(), amp.getDataSec().toString(), \
amp.getBiasSec().toString(), amp.getElectronicParams().getGain()
cameraGeomUtils.showCcd(ccd, ccdImage=raw, frame=frame)
frame += 1
def validate(self):
# Since we establish the structure of data in __init__, it
# should always be valid. Unless someone mucks with self.data
# directly...
for r in self.camera:
raft = cameraGeom.cast_Raft(r)
rlabel = raft.getId().getName()
if not self.data.has_key(rlabel):
return False
for c in raft:
ccd = cameraGeom.cast_Ccd(c)
clabel = ccd.getId().getName()
if not self.data[rlabel].has_key(clabel):
return False
return True
def trimExposure(ccdImage, ccd=None):
"""Trim a raw CCD Exposure"""
if not ccd:
ccd = cameraGeom.cast_Ccd(ccdImage.getDetector())
dim = ccd.getAllPixelsNoRotation(True).getDimensions()
trimmedImage = ccdImage.Factory(dim)
for a in ccd:
data = ccdImage.Factory(ccdImage, a.getDataSec(False), afwImage.LOCAL).getMaskedImage()
tdata = trimmedImage.Factory(trimmedImage, a.getDataSec(True), afwImage.LOCAL).getMaskedImage()
tdata <<= data
ccd.setTrimmed(True)
return trimmedImage
def validate(self):
# Since we establish the structure of data in __init__, it
# should always be valid. Unless someone mucks with self.data
# directly...
for r in self.camera:
raft = cameraGeom.cast_Raft(r)
rlabel = raft.getId().getName()
if not self.data.has_key(rlabel):
return False
for c in raft:
ccd = cameraGeom.cast_Ccd(c)
clabel = ccd.getId().getName()
if not self.data[rlabel].has_key(clabel):
return False
return True
def testInvariance(self):
for raft in self.camera:
raft = cameraGeom.cast_Raft(raft)
for ccd in raft:
ccd = cameraGeom.cast_Ccd(ccd)
dist = pipDist.createDistortion(ccd, self.config)
self.assertTrue(isinstance(dist, hscDist.HscDistortion))
size = ccd.getSize()
height, width = size.getX(), size.getY()
for x, y in ((0.0,0.0), (0.0, height), (width, 0.0), (width, height), (width/2.0,height/2.0)):
forward = dist.actualToIdeal(afwGeom.PointD(x, y))
backward = dist.idealToActual(forward)
diff = math.hypot(backward.getX() - x, backward.getY() - y)
self.assertLess(diff, TOLERANCE, "Not invariant: %s %f,%f --> %s --> %s (%f > %f)" % \
(ccd.getId().getSerial(), x, y, forward, backward, diff, TOLERANCE))
def process(self, clipboard):
"""
"""
self.log.log(Log.INFO, "Doing CCD assembly.")
#grab exposure from clipboard
exposureList = clipboard.get(self.policy.getString("inputKeys.exposureList"))
rmKeys = self.policy.getArray("parameters.deleteFieldsList")
amp = cameraGeom.cast_Amp(exposureList[0].getDetector())
ccdId = amp.getParent().getId()
ccd = cameraGeom.cast_Ccd(amp.getParent())
exposure = ipIsr.ccdAssemble.assembleCcd(exposureList, ccd,
keysToRemove=rmKeys)
#output products
clipboard.put(self.policy.get("outputKeys.assembledCcdExposure"),
exposure)
def __init__(self, figure, camera, rect=(0.08, 0.08, 0.84, 0.84)):
self.figure = figure
self.camera = camera
self.rect = rect
self.detectors = {}
self.amps = {}
# use same rect as figure.add_axes(rect) to avoid confusion
l, b, w, h = self.rect
self.fig_left = l
self.fig_bottom = b
self.fig_width = w
self.fig_height = h
l_cam, b_cam, r_cam, t_cam = 1.0e6, 1.0e6, -1.0e6, -1.0e6
for r in self.camera:
raft = camGeom.cast_Raft(r)
for c in raft:
ccd = camGeom.cast_Ccd(c)
serial = ccd.getId().getSerial()
self.detectors[serial] = ccd
cc = ccd.getCenter().getPixels(ccd.getPixelSize())
cxc, cyc = cc.getX(), cc.getY()
cbbox = ccd.getAllPixels(True)
cwidth = cbbox.getMaxX() - cbbox.getMinX()
cheight = cbbox.getMaxY() - cbbox.getMinY()
l_cam = min(l_cam, cxc - cwidth / 2)
b_cam = min(b_cam, cyc - cheight / 2)
r_cam = max(r_cam, cxc + cwidth / 2)
t_cam = max(t_cam, cyc + cheight / 2)
self.amps[serial] = []
for a in ccd:
amp = camGeom.cast_Amp(a)
self.amps[serial].append(amp)
self.camera_width = r_cam - l_cam
self.camera_height = t_cam - b_cam
extent = afwGeom.Extent2D(self.camera_width, self.camera_height)
self.camera_bbox = afwGeom.Box2D(afwGeom.Point2D(0.0, 0.0), extent)
#print "Camera", self.camera_bbox
self.axes = {}
def reset(self, data=None):
"""Set all values in data dictionary to None."""
if data is None:
data = self.data
for r in self.camera:
raft = cameraGeom.cast_Raft(r)
rlabel = raft.getId().getName()
data[rlabel] = {}
for c in raft:
ccd = cameraGeom.cast_Ccd(c)
clabel = ccd.getId().getName()
self.idByName[clabel] = ccd.getId()
data[rlabel][clabel] = None
areaLabel = self.getAreaLabel(rlabel, clabel)
self.raftCcdByAreaLabel[areaLabel] = [rlabel, clabel]
def reset(self, data=None):
"""Set all values in data dictionary to None."""
if data is None:
data = self.data
for r in self.camera:
raft = cameraGeom.cast_Raft(r)
rlabel = raft.getId().getName()
data[rlabel] = {}
for c in raft:
ccd = cameraGeom.cast_Ccd(c)
clabel = ccd.getId().getName()
self.idByName[clabel] = ccd.getId()
data[rlabel][clabel] = None
areaLabel = self.getAreaLabel(rlabel, clabel)
self.raftCcdByAreaLabel[areaLabel] = [rlabel, clabel]
def __init__(self, camera, scale=16.0):
self.camera = camera
self.detectors = {}
self.amps = {}
self.xy0 = {}
self.dims = {}
self.used = set()
self.nQuarter = {}
l_cam, b_cam, r_cam, t_cam = 1.0e6, 1.0e6, -1.0e6, -1.0e6
for r in self.camera:
raft = camGeom.cast_Raft(r)
for c in raft:
ccd = camGeom.cast_Ccd(c)
serial = ccd.getId().getSerial()
self.detectors[serial] = ccd
cc = ccd.getCenter().getPixels(ccd.getPixelSize())
cxc, cyc = cc.getX(), cc.getY()
cbbox = ccd.getAllPixels(True)
cwidth = cbbox.getMaxX() - cbbox.getMinX()
cheight = cbbox.getMaxY() - cbbox.getMinY()
x0, y0 = int(cxc - cwidth/2.0), int(cyc - cheight/2.0)
self.xy0[serial] = (x0, y0)
self.dims[serial] = (cwidth/scale, cheight/scale)
self.nQuarter[serial] = ccd.getOrientation().getNQuarter()
l_cam = min(l_cam, x0)
b_cam = min(b_cam, y0)
r_cam = max(r_cam, cxc + cwidth/2)
t_cam = max(t_cam, cyc + cheight/2)
for k,v in self.xy0.items():
self.xy0[k] = [int(x) for x in ((v[0] - l_cam)/scale, (v[1] - b_cam)/scale)]
self.camera_width = r_cam - l_cam
self.camera_height = t_cam - b_cam
extent = afwGeom.Extent2D(self.camera_width, self.camera_height)
self.camera_bbox = afwGeom.Box2D(afwGeom.Point2D(0.0, 0.0), extent)
self.image = numpy.zeros((self.camera_height/scale, self.camera_width/scale))
def setMapInfo(self):
"""Establish map areas for any defined CCDs"""
for r in self.camera:
raft = cameraGeom.cast_Raft(r)
rlabel = raft.getId().getName()
for c in raft:
ccd = cameraGeom.cast_Ccd(c)
clabel = ccd.getId().getName()
info = self.map[rlabel][clabel]
if ((info is not None) and self.ccdBoundaries.has_key(clabel)
and (self.ccdBoundaries[clabel] is not None)):
bound = self.ccdBoundaries[clabel]
x0, x1 = bound[0]
y0, y1 = bound[1]
label = self.getAreaLabel(rlabel, clabel)
self.addMapArea(label, [x0, y0, x1, y1], info)
def process(self, clipboard):
"""
"""
self.log.log(Log.INFO, "Doing CCD assembly.")
#grab exposure from clipboard
exposureList = clipboard.get(
self.policy.getString("inputKeys.exposureList"))
rmKeys = self.policy.getArray("parameters.deleteFieldsList")
amp = cameraGeom.cast_Amp(exposureList[0].getDetector())
ccdId = amp.getParent().getId()
ccd = cameraGeom.cast_Ccd(amp.getParent())
exposure = ipIsr.ccdAssemble.assembleCcd(exposureList,
ccd,
keysToRemove=rmKeys)
#output products
clipboard.put(self.policy.get("outputKeys.assembledCcdExposure"),
exposure)
def testParent(self):
"""Test that we can find our parent"""
cameraInfo = {"ampSerial" : CameraGeomTestCase.ampSerial}
camera = cameraGeomUtils.makeCamera(self.geomPolicy, cameraInfo=cameraInfo)
for rx, ry, cx, cy, serial in [(0, 0, 0, 0, 4),
(0, 0, 150, 250, 20),
(600, 300, 0, 0, 52),
(600, 300, 150, 250, 68),
]:
raft = cameraGeom.cast_Raft(camera.findDetectorPixel(afwGeom.Point2D(rx, ry)))
ccd = cameraGeom.cast_Ccd(raft.findDetectorPixel(afwGeom.Point2D(cx, cy)))
amp = ccd[0]
self.assertEqual(ccd.getId(), amp.getParent().getId())
self.assertEqual(raft.getId(), ccd.getParent().getId())
self.assertEqual(camera.getId(), ccd.getParent().getParent().getId())
self.assertEqual(None, ccd.getParent().getParent().getParent())
def run(self, dataRef):
calexp_md = dataRef.get("calexp_md")
wcs = afwImage.makeWcs(calexp_md)
skymap = dataRef.get("deepCoadd_skyMap", immediate=True)
# all this, just to get the center pixel coordinate
camera = dataRef.get("camera")
raft = camGeom.cast_Raft(camera.findDetector(camGeom.Id(0)))
detId = camGeom.Id(calexp_md.get("DET-ID"))
ccd = camGeom.cast_Ccd(raft.findDetector(detId))
size = ccd.getSize().getPixels(ccd.getPixelSize())
coord = wcs.pixelToSky(size.getX() / 2, size.getY() / 2)
tract = skymap.findTract(coord).getId()
d = dataRef.dataId
print "%-6d %3d %5d" % (d["visit"], d["ccd"], tract)
return tract
def run(self, dataRef):
calexp_md = dataRef.get("calexp_md")
wcs = afwImage.makeWcs(calexp_md)
skymap = dataRef.get("deepCoadd_skyMap", immediate=True)
# all this, just to get the center pixel coordinate
camera = dataRef.get("camera")
raft = camGeom.cast_Raft(camera.findDetector(camGeom.Id(0)))
detId = camGeom.Id(calexp_md.get("DET-ID"))
ccd = camGeom.cast_Ccd(raft.findDetector(detId))
size = ccd.getSize().getPixels(ccd.getPixelSize())
coord = wcs.pixelToSky(size.getX() / 2, size.getY() / 2)
tract = skymap.findTract(coord).getId()
d = dataRef.dataId
print "%-6d %3d %5d" % (d['visit'], d['ccd'], tract)
return tract
def setMapInfo(self):
"""Establish map areas for any defined CCDs"""
for r in self.camera:
raft = cameraGeom.cast_Raft(r)
rlabel = raft.getId().getName()
for c in raft:
ccd = cameraGeom.cast_Ccd(c)
clabel = ccd.getId().getName()
info = self.map[rlabel][clabel]
if ((info is not None) and
self.ccdBoundaries.has_key(clabel) and
(self.ccdBoundaries[clabel] is not None)):
bound = self.ccdBoundaries[clabel]
x0, x1 = bound[0]
y0, y1 = bound[1]
label = self.getAreaLabel(rlabel, clabel)
self.addMapArea(label, [x0, y0, x1, y1], info)
def testDistortionInACamera(self):
policyFile = cameraGeomUtils.getGeomPolicy(os.path.join(eups.productDir("afw"),
"tests", "TestCameraGeom.paf"))
pol = pexPolicy.Policy(policyFile)
pol = cameraGeomUtils.getGeomPolicy(pol)
cam = cameraGeomUtils.makeCamera(pol)
# see if the distortion object made it into the camera object
dist = cam.getDistortion()
self.tryAFewCoords(dist, [1.0, 1.0, 0.1])
# see if the distortion object is accessible in the ccds
for raft in cam:
for ccd in cameraGeom.cast_Raft(raft):
ccd = cameraGeom.cast_Ccd(ccd)
if self.prynt:
print "CCD id: ", ccd.getId()
ccdDist = ccd.getDistortion()
self.tryAFewCoords(dist, [1.0, 1.0, 0.1])
def testRaw(self):
"""Test retrieval of raw image"""
frame = 0
if display:
cameraGeomUtils.showCamera(self.butler.mapper.camera, frame=frame)
for side in ("N", "S"):
for ccd in range(1, 32, 1):
raw = self.butler.get("raw", self.dataId, side=side, ccd=ccd)
self.assertExposure(raw, side, ccd)
if display:
frame += 1
ccd = cameraGeom.cast_Ccd(raw.getDetector())
for amp in ccd:
amp = cameraGeom.cast_Amp(amp)
print ccd.getId(), amp.getId(), amp.getDataSec().toString(), \
amp.getBiasSec().toString(), amp.getElectronicParams().getGain()
cameraGeomUtils.showCcd(ccd, ccdImage=raw, frame=frame)
def testDistortionInACamera(self):
policyFile = cameraGeomUtils.getGeomPolicy(
os.path.join(eups.productDir("afw"), "tests",
"TestCameraGeom.paf"))
pol = pexPolicy.Policy(policyFile)
pol = cameraGeomUtils.getGeomPolicy(pol)
cam = cameraGeomUtils.makeCamera(pol)
# see if the distortion object made it into the camera object
dist = cam.getDistortion()
self.tryAFewCoords(dist, [1.0, 1.0, 0.1])
# see if the distortion object is accessible in the ccds
for raft in cam:
for ccd in cameraGeom.cast_Raft(raft):
ccd = cameraGeom.cast_Ccd(ccd)
if self.prynt:
print "CCD id: ", ccd.getId()
ccdDist = ccd.getDistortion()
self.tryAFewCoords(dist, [1.0, 1.0, 0.1])
def showRaft(raft, imageSource=SynthesizeCcdImage(), raftOrigin=None, frame=None, overlay=True, bin=1):
"""Show a Raft on ds9.
If imageSource isn't None, create an image using the images specified by imageSource"""
raftCenter = afwGeom.Point2I(raft.getAllPixels().getDimensions()/2)
if raftOrigin:
raftCenter += afwGeom.ExtentI(int(raftOrigin[0]), int(raftOrigin[1]))
if imageSource is None:
raftImage = None
elif isinstance(imageSource, GetCcdImage):
raftImage = makeImageFromRaft(raft, imageSource=imageSource, raftCenter=raftCenter, bin=bin)
else:
raftImage = imageSource
if raftImage:
ds9.mtv(raftImage, frame=frame, title=raft.getId().getName())
if not raftImage and not overlay:
return
with ds9.Buffering():
for det in raft:
ccd = cameraGeom.cast_Ccd(det)
bbox = ccd.getAllPixels(True)
origin = ccd.getCenterPixel() - \
afwGeom.ExtentD(bbox.getWidth()/2 - raftCenter.getX(),
bbox.getHeight()/2 - raftCenter.getY())
if True:
name = ccd.getId().getName()
else:
name = str(ccd.getCenter())
ds9.dot(name, (origin[0] + 0.5*bbox.getWidth())/bin,
(origin[1] + 0.4*bbox.getHeight())/bin, frame=frame)
showCcd(ccd, None, isTrimmed=True, frame=frame, ccdOrigin=origin, overlay=overlay, bin=bin)
def fixDefectsAndSat(self, masterFrame, detector):
fwhm = self.config.fwhm
dataBbox = detector.getDataSec(True)
#Reversing the x and y is essentially a hack since we have to apply the defects in Amp coordinates and they are recorded in chip coordinates
#This should go away when the data from imSim is all in chip coordinates
y = dataBbox.getMinX()
x = dataBbox.getMinY()
height = dataBbox.getDimensions()[0]
#Should when at detector level, there will not be the need to go through the step of getting the parent
defectList = cameraGeom.cast_Ccd(detector.getParent()).getDefects()
dl = self.transposeDefectList(defectList, dataBbox)
for d in dl:
d.shift(-x, -y)
if detector.getId()>8:
d.shift(0, height - 2*d.getBBox().getMinY()-d.getBBox().getHeight())
#Should saturation be interpolated as well?
#sdl = self.isr.getDefectListFromMask(masterFrame, 'SAT', growFootprints=0)
#for d in sdl:
# dl.push_back(d)
self.isr.maskPixelsFromDefectList(masterFrame, dl, maskName='BAD')
self.isr.interpolateDefectList(masterFrame, dl, fwhm)
return masterFrame
def assertExposure(self, exp, ccd, checkFilter=True):
print "dataId: ", self.dataId
print "ccd: ", ccd
print "width: ", exp.getWidth()
print "height: ", exp.getHeight()
print "detector name: ", exp.getDetector().getName()
print "filter name: ", exp.getFilter().getFilterProperty().getName()
self.assertEqual(exp.getWidth(), self.size[0])
self.assertEqual(exp.getHeight(), self.size[1])
self.assertEqual(exp.getDetector().getName(), "ccd%02d" % ccd)
if checkFilter:
self.assertEqual(exp.getFilter().getFilterProperty().getName(), self.filter)
if display and ccd % 18 == 0:
global frame
frame += 1
ccd = cameraGeom.cast_Ccd(exp.getDetector())
for amp in ccd:
amp = cameraGeom.cast_Amp(amp)
print ccd.getId(), amp.getId(), amp.getDataSec().toString(), \
amp.getBiasSec().toString(), amp.getElectronicParams().getGain()
cameraGeomUtils.showCcd(ccd, ccdImage=exp, frame=frame)
def main(camera, distortionConfig):
fig = plt.figure(1)
fig.clf()
ax = fig.add_axes((0.1, 0.1, 0.8, 0.8))
# ax.set_autoscale_on(False)
# ax.set_ybound(lower=-0.2, upper=0.2)
# ax.set_xbound(lower=-17, upper=-7)
ax.set_title('Distorted CCDs')
for raft in camera:
raft = cameraGeom.cast_Raft(raft)
for ccd in raft:
ccd = cameraGeom.cast_Ccd(ccd)
size = ccd.getSize()
width, height = 2048, 4096
dist = pipDist.createDistortion(ccd, distortionConfig)
corners = ((0.0,0.0), (0.0, height), (width, height), (width, 0.0), (0.0, 0.0))
for (x0, y0), (x1, y1) in zip(corners[0:4],corners[1:5]):
if x0 == x1 and y0 != y1:
yList = numpy.linspace(y0, y1, num=SAMPLE)
xList = [x0] * len(yList)
elif y0 == y1 and x0 != x1:
xList = numpy.linspace(x0, x1, num=SAMPLE)
yList = [y0] * len(xList)
else:
raise RuntimeError("Should never get here")
xDistort = []; yDistort = []
for x, y in zip(xList, yList):
distorted = dist.actualToIdeal(afwGeom.Point2D(x, y))
xDistort.append(distorted.getX())
yDistort.append(distorted.getY())
ax.plot(xDistort, yDistort, 'k-')
plt.show()
def cameraToRectangles(camera):
rectangles = {}
centers = {}
raftBoundaries = []
ccdBoundaries = {}
for r in camera:
raft = cameraGeom.cast_Raft(r)
# NOTE: all ccd coords are w.r.t. the *center* of the raft, not its LLC
rxc = raft.getCenterPixel().getX()
ryc = raft.getCenterPixel().getY()
xmin = +1e10
ymin = +1e10
xmax = -1e10
ymax = -1e10
for c in raft:
ccd = cameraGeom.cast_Ccd(c)
label = ccd.getId().getName()
cxc = ccd.getCenterPixel().getX()
cyc = ccd.getCenterPixel().getY()
orient = ccd.getOrientation()
nQuart = ccd.getOrientation().getNQuarter()
yaw = orient.getYaw()
cbbox = ccd.getAllPixels(True)
cwidth = cbbox.getMaxX() - cbbox.getMinX()
cheight = cbbox.getMaxY() - cbbox.getMinY()
if abs(yaw.asRadians() - numpy.pi/2.0) < 1.0e-3: # nQuart == 1 or nQuart == 3:
ctmp = cwidth
cwidth = cheight
cheight = ctmp
cx0 = rxc + cxc - cwidth/2
cy0 = ryc + cyc - cheight/2
cx1 = cx0 + cwidth
cy1 = cy0 + cheight
if cx0 < xmin:
xmin = cx0
if cx1 > xmax:
xmax = cx1
if cy0 < ymin:
ymin = cy0
if cy1 > ymax:
ymax = cy1
crectangle = Rectangle((cx0, cy0), cwidth, cheight, fill = False, label = label)
rectangles[label] = crectangle
centers[label] = (rxc+cxc, ryc+cyc)
ccdBoundaries[label] = ((cx0, cx1), (cy0, cy1))
raftBoundaries.append(((xmin, xmin), (ymin, ymax)))
raftBoundaries.append(((xmin, xmax), (ymin, ymin)))
raftBoundaries.append(((xmin, xmax), (ymax, ymax)))
raftBoundaries.append(((xmax, xmax), (ymin, ymax)))
return centers, rectangles, raftBoundaries, ccdBoundaries
def main(rootDir, tract, visits, ccds=None, showPatch=False):
butler = dafPersist.Butler(rootDir)
##########################
### CCDs データを呼び込む
ras, decs = [], []
for i_v, visit in enumerate(visits):
print i_v, visit
ccdList = [
camGeom.cast_Ccd(ccd)
for ccd in camGeom.cast_Raft(butler.get("camera")[0])
]
for ccd in ccdList:
bbox = ccd.getAllPixels()
ccdId = ccd.getId().getSerial()
if (ccds is None or ccdId in ccds) and ccdId < 104:
dataId = {'tract': 0, 'visit': visit, 'ccd': ccdId}
try:
wcs = afwImage.makeWcs(butler.get("calexp_md", dataId))
except:
pass
ra, dec = bboxToRaDec(bbox, wcs)
ras += ra
decs += dec
color = ('r', 'b', 'c', 'g', 'm')[i_v % 5]
pyplot.fill(ra,
dec,
fill=True,
alpha=0.2,
color=color,
edgecolor=color)
buff = 0.1
xlim = max(ras) + buff, min(ras) - buff
ylim = min(decs) - buff, max(decs) + buff
######################
### skymap を呼び込む
if showPatch:
skymap = butler.get('deepCoadd_skyMap', {'tract': 0})
for tract in skymap:
for patch in tract:
ra, dec = bboxToRaDec(patch.getInnerBBox(), tract.getWcs())
pyplot.fill(ra,
dec,
fill=False,
edgecolor='k',
lw=1,
linestyle='dashed')
if xlim[1] < percent(ra) < xlim[0] and ylim[0] < percent(
dec) < ylim[1]:
pyplot.text(percent(ra),
percent(dec, 0.9),
str(patch.getIndex()),
fontsize=6,
horizontalalignment='center',
verticalalignment='top')
############################################
### png データとして保存するためにラベルをつける
ax = pyplot.gca()
ax.set_xlabel("R.A. (deg)")
ax.set_ylabel("Decl. (deg)")
ax.set_xlim(xlim)
ax.set_ylim(ylim)
fig = pyplot.gcf()
fig.savefig("patches.png")
def process(self, clipboard):
"""
"""
self.log.log(Log.INFO, "Doing CCD defect mask.")
#grab exposure from clipboard
exposure = clipboard.get(
self.policy.getString("inputKeys.ccdExposure"))
#get known defects from camera class
defectBaseList = cameraGeom.cast_Ccd(
exposure.getDetector()).getDefects()
id = exposure.getDetector().getId()
defectList = measAlg.DefectListT()
#create master list of defects and add those from the camera class
for d in defectBaseList:
bbox = d.getBBox()
nd = measAlg.Defect(bbox)
defectList.append(nd)
fwhm = self.policy.getDouble("parameters.defaultFwhm")
#get saturated pixels from the mask
sdefects = ipIsr.defectListFromMask(exposure,
growFootprints=1,
maskName='SAT')
#mask bad pixels in the camera class
ipIsr.maskBadPixelsDef(exposure,
defectList,
fwhm,
interpolate=False,
maskName='BAD')
#add saturated pixels to master defect list
for d in sdefects:
bbox = d.getBBox()
nd = measAlg.Defect(bbox)
defectList.append(nd)
#find unmasked bad pixels and mask them
exposure.getMaskedImage().getMask().addMaskPlane("UNMASKEDNAN")
unc = ipIsr.UnmaskedNanCounterF()
unc.apply(exposure.getMaskedImage())
nnans = unc.getNpix()
metadata = exposure.getMetadata()
metadata.set("NUMNANS", nnans)
if nnans == 0:
self.log.log(Log.INFO,
"Zero unmasked nans/infs were found, which is good.")
else:
self.log.log(
Log.INFO, "%i unmasked nans/infs found in ccd exposure: %s" %
(nnans, id.__str__()))
#get footprints of bad pixels not in the camera class
undefects = ipIsr.defectListFromMask(exposure,
growFootprints=0,
maskName='UNMASKEDNAN')
for d in undefects:
bbox = d.getBBox()
nd = measAlg.Defect(bbox)
defectList.append(nd)
#interpolate all bad pixels
ipIsr.interpolateDefectList(exposure, defectList, fwhm)
#output products
clipboard.put(self.policy.get("outputKeys.defectMaskedCcdExposure"),
exposure)
class PolypixPsfDeterminer(object):
ConfigClass = PolypixPsfDeterminerConfig
def __init__(self, config):
"""
@param[in] config: instance of PolypixPsfDeterminerConfig
"""
self.config = config
# N.b. name of component is meas.algorithms.psfDeterminer so you can turn on psf debugging
# independent of which determiner is active
self.debugLog = pexLog.Debug("meas.algorithms.psfDeterminer")
self.warnLog = pexLog.Log(pexLog.getDefaultLog(), "meas.algorithms.psfDeterminer")
def determinePsf(self, exposure, psfCandidateList, metadata=None, flagKey=None):
"""
@param[in] exposure: exposure containing the psf candidates (lsst.afw.image.Exposure)
@param[in] psfCandidateList: a sequence of PSF candidates (each an lsst.meas.algorithms.PsfCandidate);
typically obtained by detecting sources and then running them through a star selector
@param[in,out] metadata a home for interesting tidbits of information
@param[in] flagKey: schema key used to mark sources actually used in PSF determination
@return psf
"""
import lsstDebug
display = lsstDebug.Info(__name__).display
displayExposure = display and \
lsstDebug.Info(__name__).displayExposure # display the Exposure + spatialCells
displayPsfCandidates = display and \
lsstDebug.Info(__name__).displayPsfCandidates # show the viable candidates
displayPsfComponents = display and \
lsstDebug.Info(__name__).displayPsfComponents # show the basis functions
showBadCandidates = display and \
lsstDebug.Info(__name__).showBadCandidates # Include bad candidates (meaningless, methinks)
displayResiduals = display and \
lsstDebug.Info(__name__).displayResiduals # show residuals
displayPsfMosaic = display and \
lsstDebug.Info(__name__).displayPsfMosaic # show mosaic of reconstructed PSF(x,y)
matchKernelAmplitudes = lsstDebug.Info(__name__).matchKernelAmplitudes # match Kernel amplitudes for spatial plots
normalizeResiduals = lsstDebug.Info(__name__).normalizeResiduals # Normalise residuals by object amplitude
mi = exposure.getMaskedImage()
nCand = len(psfCandidateList)
if nCand == 0:
raise RuntimeError("No PSF candidates supplied.")
#
# How big should our PSF models be?
#
if display: # only needed for debug plots
# construct and populate a spatial cell set
bbox = mi.getBBox(afwImage.PARENT)
psfCellSet = afwMath.SpatialCellSet(bbox, self.config.sizeCellX, self.config.sizeCellY)
else:
psfCellSet = None
sizes = np.empty(nCand)
for i, psfCandidate in enumerate(psfCandidateList):
try:
if psfCellSet:
psfCellSet.insertCandidate(psfCandidate)
except Exception, e:
self.debugLog.debug(2, "Skipping PSF candidate %d of %d: %s" % (i, len(psfCandidateList), e))
continue
source = psfCandidate.getSource()
quad = afwEll.Quadrupole(source.getIxx(), source.getIyy(), source.getIxy())
rmsSize = quad.getTraceRadius()
sizes[i] = rmsSize
if self.config.kernelSize >= 15:
self.debugLog.debug(1, \
"WARNING: NOT scaling kernelSize by stellar quadrupole moment, but using absolute value")
actualKernelSize = int(self.config.kernelSize)
else:
actualKernelSize = 2 * int(self.config.kernelSize * np.sqrt(np.median(sizes)) + 0.5) + 1
if actualKernelSize < self.config.kernelSizeMin:
actualKernelSize = self.config.kernelSizeMin
if actualKernelSize > self.config.kernelSizeMax:
actualKernelSize = self.config.kernelSizeMax
if display:
rms = np.median(sizes)
print "Median PSF RMS size=%.2f pixels (\"FWHM\"=%.2f)" % (rms, 2*np.sqrt(2*np.log(2))*rms)
# If we manually set the resolution then we need the size in pixel units
pixKernelSize = actualKernelSize
if self.config.samplingSize > 0:
pixKernelSize = int(actualKernelSize*self.config.samplingSize)
if pixKernelSize % 2 == 0: pixKernelSize += 1
self.debugLog.debug(3, "PSF Kernel size=%.2f, Image Kernel Size=%.2f" %
(actualKernelSize,pixKernelSize))
nside = pixKernelSize // 2
assert pixKernelSize == (2*nside+1)
# Set size of image returned around candidate
psfCandidateList[0].setHeight(pixKernelSize)
psfCandidateList[0].setWidth(pixKernelSize)
mask_bits = afwImage.MaskU_getPlaneBitMask(self.config.badMaskBits)
fluxName = 'initial.flux.sinc' # FIXME should be in config? (meas_extensions_psfex has it in a config file)
fluxFlagName = fluxName + ".flags"
cs = hscpsfLib.HscCandidateSet(mask_bits, pixKernelSize, pixKernelSize)
with ds9.Buffering():
xpos = []; ypos = []
for i, psfCandidate in enumerate(psfCandidateList):
source = psfCandidate.getSource()
xc, yc = source.getX(), source.getY()
if fluxFlagName in source.schema and source.get(fluxFlagName):
continue
flux = source.get(fluxName)
if flux < 0 or np.isnan(flux):
continue
cs.add(psfCandidate, i, flux, sizes[i])
xpos.append(xc); ypos.append(yc) # for QA
if displayExposure:
ds9.dot("o", xc, yc, ctype=ds9.CYAN, size=4, frame=frame)
if cs.getNcand() == 0:
raise RuntimeError("No good PSF candidates")
# Calculate fwhm, backnoise2 and gain
fwhm = 2*np.sqrt(2*np.log(2))*np.median(sizes)
backnoise2 = afwMath.makeStatistics(mi.getImage(), afwMath.VARIANCECLIP).getValue()
ccd = afwCG.cast_Ccd(exposure.getDetector())
if ccd:
gain = np.mean(np.array([a.getElectronicParams().getGain() for a in ccd]))
else:
gain = 1.0
self.warnLog.log(pexLog.Log.WARN, "Setting gain to %g" % gain)
xvec = np.array([ cand.getSource().get('initial.centroid.sdss.x') for cand in psfCandidateList ])
yvec = np.array([ cand.getSource().get('initial.centroid.sdss.y') for cand in psfCandidateList ])
spatialModel = hscpsfLib.HscSpatialModelPolynomial(self.config.spatialOrder, min(xvec), max(xvec), min(yvec), max(yvec))
#
# This sequence of PSF fits, including "magic numbers" such as psf_make(0.2, 1000.0)
# matches internal logic in psfex!
#
psf = hscpsfLib.PolypixPsf(cs, nside, actualKernelSize, self.config.samplingSize, spatialModel, fwhm, backnoise2, gain)
psf.psf_make(0.2, 1000.0)
cs = psf.psf_clean(0.2)
psf = hscpsfLib.PolypixPsf(cs, psf)
psf.psf_make(0.1, 1000.0)
cs = psf.psf_clean(0.1)
psf = hscpsfLib.PolypixPsf(cs, psf)
psf.psf_make(0.05, 1000.0)
cs = psf.psf_clean(0.05)
psf = hscpsfLib.PolypixPsf(cs, psf)
psf.psf_make(0.01, 1000.0)
psf.psf_clip()
cs = psf.psf_clean(0.01)
good_indices = [ cs.getId(icand) for icand in xrange(cs.getNcand()) ]
if flagKey is not None:
for (icand, cand) in enumerate(psfCandidateList):
if icand in good_indices:
cand.getSource().set(flagKey, True)
numGoodStars = len(good_indices)
avgX, avgY = np.mean(xpos), np.mean(ypos)
#
# Generate some QA information
#
# Count PSF stars
#
if metadata != None:
metadata.set("spatialFitChi2", np.nan)
metadata.set("numAvailStars", nCand)
metadata.set("numGoodStars", numGoodStars)
metadata.set("avgX", avgX)
metadata.set("avgY", avgY)
psfCellSet = None
return psf, psfCellSet
def main(infile, ccds=None, camera="hsc", cmap="copper", cols=[0,1],
nsig=3.0, percent=False, textcolor='k', out=None):
###########################
# build the camera
policy_file = {
'hsc': os.path.join(os.getenv("OBS_SUBARU_DIR"), "hsc", "hsc_geom.paf"),
'sc' : os.path.join(os.getenv("OBS_SUBARU_DIR"), "suprimecam", "Full_Suprimecam_geom.paf")
}
geomPolicy = afwCGU.getGeomPolicy(policy_file[camera.lower()])
camera = afwCGU.makeCamera(geomPolicy)
###########################
# load the data
data = {}
if infile:
load = numpy.loadtxt(infile)
vals = load[:,cols[1]]
for i in range(len(vals)):
ccd = int(load[i,cols[0]])
if len(cols) == 3:
amp = int(load[i,cols[2]])
else:
amp = 0
if ccd not in data:
data[ccd] = {}
data[ccd][amp] = vals[i]
else:
vals = []
for r in camera:
for c in afwCG.cast_Raft(r):
ccd = afwCG.cast_Ccd(c)
ccdId = ccd.getId().getSerial()
data[ccdId] = {}
val = 1.0
if ccdId > 103:
val = 0.8
for a in ccd:
amp = afwCG.cast_Amp(a)
ampId = amp.getId().getSerial() - 1
data[ccdId][ampId] = val
vals.append(val)
if len(data[ccdId]) == 0:
data[ccdId][0] = val
vals.append(val)
vals = numpy.array(vals)
mean = vals.mean()
med = numpy.median(vals)
std = vals.std()
vmin, vmax = med - nsig*std, med+nsig*std
###########################
# make the plot
fig = figure.Figure(figsize=(7,7))
canvas = FigCanvas(fig)
if infile:
rect = (0.06, 0.12, 0.76, 0.76)
else:
rect = (0.06, 0.06, 0.88, 0.88)
fpa_fig = hscUtil.FpaFigure(fig, camera, rect=rect)
for i_ccd, amplist in data.items():
hide = False
if ccds and (i_ccd not in ccds):
hide = True
ax = fpa_fig.getAxes(i_ccd)
fpa_fig.highlightAmp(i_ccd, 0)
nq = fpa_fig.detectors[i_ccd].getOrientation().getNQuarter()
nx, ny = 4, 8
if nq % 2:
ny, nx = nx, ny
firstAmp = sorted(amplist.keys())[0]
im = numpy.zeros((ny, nx)) + amplist[firstAmp]
print i_ccd
for amp, val in amplist.items():
useVal = val
if hide:
useVal = 0.0
if nq == 0:
im[:,amp] = useVal
if nq == 1 or nq == -3:
im[3-amp,:] = useVal
if nq == 2:
im[:,3-amp] = useVal
if nq == -1 or nq == 3:
im[amp,:] = useVal
im_ax = ax.imshow(im, cmap=cmap, vmax=vmax, vmin=vmin, interpolation='nearest')
fpa_fig.addLabel(i_ccd, [str(i_ccd)], color=textcolor)
#############################
# the colorbar
ylo, yhi = vmin, vmax
if infile:
rect = (0.91, 0.25, 0.02, 0.6)
# real units
cax = fig.add_axes(rect)
cax.get_yaxis().get_major_formatter().set_useOffset(False)
cax.set_ylim([ylo, yhi])
cax.get_xaxis().set_ticks([])
cbar = fig.colorbar(im_ax, cax=cax)
# mirror the values. std or in percent (fractional) if requested
caxp = cax.twinx()
caxp.get_xaxis().set_ticks([])
caxp.get_yaxis().get_major_formatter().set_useOffset(False)
if percent:
caxp.set_ylim([(med-ylo)/(yhi-ylo), (yhi-med)/(yhi-ylo)])
else:
caxp.set_ylim([-nsig*std, nsig*std])
for t in cax.get_yticklabels():
t.set_size('small')
for t in caxp.get_yticklabels():
t.set_size("small")
#################################
# add stats
if infile:
stats = {"Mean":mean, "Med":med, "Std":std, "Max":vals.max(), "Min":vals.min()}
order = ["Mean", "Med", "Std", "Min", "Max"]
i = 0
for k in order:
v = stats[k]
ax.text(0.8, 0.03+0.02*i, "%-10s %.3g"%(k+":",v), fontsize=9,
horizontalalignment='left', verticalalignment='center', transform=fig.transFigure)
i += 1
#################################
# title and write it
date = datetime.datetime.now().strftime("%Y-%m-%d_%H:%M:%S")
title = "File: %s Cols: %s %s" % (infile, ":".join([str(x+1) for x in cols]), date) if infile else ""
fig.suptitle(title)
outfile = out if out else "camview-%s.png" % infile
fig.savefig(outfile)
def main(camera, sample=20, showDistortion=True):
if True:
fig = plt.figure(1)
fig.clf()
ax = fig.add_axes((0.1, 0.1, 0.8, 0.8))
title = camera.getId().getName()
if showDistortion:
title += ' (Distorted)'
ax.set_title(title)
else:
fig = None
if showDistortion:
dist = camera.getDistortion()
for raft in camera:
raft = cameraGeom.cast_Raft(raft)
for ccd in raft:
if False and ccd.getId().getSerial() not in (0, 3):
continue
ccd = cameraGeom.cast_Ccd(ccd)
ccd.setTrimmed(True)
width, height = ccd.getAllPixels(True).getDimensions()
corners = ((0.0, 0.0), (0.0, height), (width, height),
(width, 0.0), (0.0, 0.0))
for (x0, y0), (x1, y1) in zip(corners[0:4], corners[1:5]):
if x0 == x1 and y0 != y1:
yList = numpy.linspace(y0, y1, num=sample)
xList = [x0] * len(yList)
elif y0 == y1 and x0 != x1:
xList = numpy.linspace(x0, x1, num=sample)
yList = [y0] * len(xList)
else:
raise RuntimeError("Should never get here")
xOriginal = []
yOriginal = []
xDistort = []
yDistort = []
for x, y in zip(xList, yList):
position = ccd.getPositionFromPixel(afwGeom.Point2D(
x, y)) # focal plane position
xOriginal.append(position.getMm().getX())
yOriginal.append(position.getMm().getY())
if not showDistortion:
continue
# Calculate offset (in CCD pixels) due to distortion
distortion = dist.distort(afwGeom.Point2D(x, y),
ccd) - afwGeom.Extent2D(x, y)
# Calculate the distorted position
distorted = position + cameraGeom.FpPoint(
distortion) * ccd.getPixelSize()
xDistort.append(distorted.getMm().getX())
yDistort.append(distorted.getMm().getY())
if fig:
ax.plot(xOriginal, yOriginal, 'k-')
if showDistortion:
ax.plot(xDistort, yDistort, 'r-')
if fig:
x, y = ccd.getPositionFromPixel(
afwGeom.Point2D(width / 2, height / 2)).getMm()
ax.text(x, y, ccd.getId().getSerial(), ha='center')
if fig:
plt.show()
def main(rootDir,
tracts,
visitsIn=None,
ccds=None,
patches=None,
showPatch=False,
showTract=False,
showFootprint=False,
filter=None,
out=None):
butler = dafPersist.Butler(rootDir)
if not patches:
patches = ["%d,%d" % (ix, iy) for ix in range(11) for iy in range(11)]
#####################################
# get the visits and ccds
#####################################
visits = set()
ccdsInVisits = dict()
files = {}
for tract in tracts:
for patch in patches:
print "getting patch", tract, patch
try:
coadd_file = butler.get("deepCoadd_filename", {
'tract': tract,
"filter": filter,
"patch": patch
},
immediate=True)[0]
except:
continue
if re.search("_parent", coadd_file):
continue
#print coadd_file
files[patch] = coadd_file
try:
coadd = butler.get("deepCoadd", {
'tract': tract,
"filter": filter,
"patch": patch
})
coaddIn = coadd.getInfo().getCoaddInputs()
except:
continue
ccdInputs = coaddIn.ccds
for v, ccd in zip(ccdInputs.get("visit"), ccdInputs.get("ccd")):
if v not in ccdsInVisits:
ccdsInVisits[v] = []
ccdsInVisits[v].append(ccd)
for v in coaddIn.visits:
visits.add(int(v.getId()))
if visitsIn:
visits = visits & set(visitsIn)
nv = len(visits)
nvals = {1: (1, 1), 2: (2, 1), 3: (3, 1), 4: (2, 2)}
sizes = {1: (7, 7), 2: (10, 5), 3: (12, 4), 4: (8, 8)}
if nv in nvals:
nx, ny = nvals[nv]
figsize = sizes[nv]
else:
nx = int(math.floor(numpy.sqrt(nv))) + 1
ny = nv / nx
if ny == 0:
ny = 1
if nv % nx > 0:
ny += 1
if nv < 20:
figsize = (10, 8)
else:
figsize = (2 * nx, 2 * ny)
print ny, nx
fig, axes = pyplot.subplots(ny,
nx,
squeeze=False,
sharex=True,
sharey=True,
figsize=figsize)
########################
### draw the CCDs
########################
ras, decs = [], []
for i_v, visit in enumerate(sorted(visits)):
print i_v, visit,
allCcds = [
camGeom.cast_Ccd(ccd)
for ccd in camGeom.cast_Raft(butler.get("camera")[0])
]
ccdSet = ccds if ccds else set(ccdsInVisits[visit])
ccdList = [c for c in allCcds if c.getId().getSerial() in ccdSet]
color = ('r', 'b', 'c', 'g', 'm') #[0] #[i_v%5]
i_y, i_x = i_v / nx, i_v % nx
ras = []
decs = []
for ccd in ccdList:
bbox = ccd.getAllPixels()
ccdId = ccd.getId().getSerial()
nq = ccd.getOrientation().getNQuarter()
print " ", ccdId
# if it's odd (chips 100..103) color it like it's even counterparts
nq = nq - nq % 2
clr = color[0]
# show the halves of the camera, and make chip 0 brighter to break the 180deg symmetry
alpha = 0.4 if (nq == 0 or ccdId == 0 or ccdId == 50) else 0.2
if ccdId < 104:
#dataId = {'tract': tracts, 'visit': visit, 'ccd': ccdId}
dataId = {'visit': visit, 'ccd': ccdId}
try:
wcs = afwImage.makeWcs(butler.get("calexp_md", dataId))
except:
wcs = None
if wcs:
ra, dec = bboxToRaDec(bbox, wcs)
ras += ra
decs += dec
if not showFootprint:
axes[i_y][i_x].fill(ra,
dec,
fill=True,
alpha=alpha,
color=clr,
edgecolor=clr)
axes[i_y][i_x].set_title(str(visit), size='x-small')
if showFootprint:
perim = convex_hull(zip(ras, decs))
pra, pdec = zip(*perim)
axes[i_y][i_x].fill(pra, pdec, fill=False, edgecolor=color[0])
print ""
##############################
# draw the skymap
###############################
minRa = min(ras)
maxRa = max(ras)
minDec = min(decs)
maxDec = max(decs)
tras = []
tdecs = []
if showTract:
skymap = butler.get('deepCoadd_skyMap', {'tract': 0})
tractObjs = [t for t in skymap if (t.getId() in tracts)]
for tractObj in tractObjs:
print tractObj.getId()
ra, dec = bboxToRaDec(tractObj.getBBox(), tractObj.getWcs())
tras += ra
tdecs += dec
# add tract,patch grids to all panels
for i_x in range(nx):
for i_y in range(ny):
axes[i_y][i_x].fill(ra,
dec,
fill=False,
edgecolor='k',
lw=1,
linestyle='dashed')
axes[i_y][i_x].text(percent(ra, 0.03),
percent(dec, 0.95),
str(tractObj.getId()),
fontsize=6,
horizontalalignment='right',
verticalalignment='top')
if showPatch:
for patch in tractObj:
ra, dec = bboxToRaDec(patch.getInnerBBox(),
tractObj.getWcs())
axes[i_y][i_x].fill(ra,
dec,
fill=False,
edgecolor='k',
lw=1,
linestyle='dashed')
if min(ra) > maxRa or max(ra) < minRa or min(
dec) > maxDec or max(dec) < minDec:
continue
patch_str = "%d,%d" % patch.getIndex()
axes[i_y][i_x].text(percent(ra),
percent(dec, 0.9),
patch_str,
fontsize=6,
horizontalalignment='center',
verticalalignment='top')
######################
# final plot stuff
######################
buff = 0.2
if showTract:
minRa = max(min(tras), min(ras))
maxRa = min(max(tras), max(ras))
minDec = max(min(tdecs), min(decs))
maxDec = min(max(tdecs), max(decs))
xlim = maxRa + buff, minRa - buff
ylim = minDec - buff, maxDec + buff
else:
xlim = max(ras) + buff, min(ras) - buff
ylim = min(decs) - buff, max(decs) + buff
for i_x in range(nx):
for i_y in range(ny):
axes[i_y][i_x].set_xlim(xlim)
axes[i_y][i_x].set_ylim(ylim)
for tic in axes[i_y][i_x].get_xticklabels(
) + axes[i_y][i_x].get_yticklabels():
tic.set_size("x-small")
for tic in axes[i_y][i_x].get_xticklabels():
tic.set_rotation(33.0)
if rootDir[-1] == "/":
rootDir = rootDir[:-1]
rerun = os.path.basename(rootDir)
tractsort = sorted(tracts)
if len(tracts) == 1:
tract_str = str(tracts[0])
else:
tract_str = str(tractsort[0]) + "-" + str(tractsort[-1])
fig.suptitle("Tract %s inputs" % (tract_str))
outfile = out or "coaddIn-%s-%s.png" % (rerun, tract_str)
fig.savefig(outfile)
def makeFigure(
self,
borderPix=100,
boundaryColors='r',
doLabel=False,
showUndefined=False,
vlimits=None,
cmap="jet",
title=None,
cmapOver=None,
cmapUnder=None,
failLimits=None,
failColor='k',
):
"""Make the figure.
@param borderPix width of border in pixels
@param boundaryColors matplotlib color specifier for border
@param doLabel add ccd labels to the figure
@param showUndefined show sensors even if their value is None
@param vlimits [low, high] limits for colormap
@param cmap string name of an matplotlib.cm colormap
@param title title of the figure
@param cmapOver Color to use if above cmap high limit.
@param cmapUnder Color to use if below cmap low limit.
@param failLimits Limits to mark failure.
@param failColor Color to use to mark failed sensors.
"""
if vlimits is None:
arr = self.getDataArray()
vlimits = [arr.min(), arr.max()]
if failLimits is None:
failLimits = vlimits
histWidth = 0.05
useHist = True
if useHist:
left, right, bottom, top = 0.195, 0.95 - 2.0 * histWidth, 0.15, 0.9
else:
left, right, bottom, top = 0.195, 0.95, 0.15, 0.9
self.fig.subplots_adjust(left=left,
right=right,
bottom=bottom,
top=top)
sp = self.fig.gca()
values = [] # needs to be synchronized with self.rectangles
patches = []
allValues = []
missingCcds = {}
failedCcds = {}
for r in self.camera:
raft = cameraGeom.cast_Raft(r)
rlabel = raft.getId().getName()
for c in raft:
ccd = cameraGeom.cast_Ccd(c)
clabel = ccd.getId().getName()
value = self.data[rlabel][clabel]
allValues.append(value)
#if (not value is None) or (showUndefined):
if value is None:
value = numpy.NaN
missingCcds[clabel] = self.ccdBoundaries[clabel]
if value < failLimits[0] or value > failLimits[1]:
failedCcds[clabel] = value
#if value > failLimits[1]:
# failedCcds[clabel] = 1
values.append(value)
patches.append(self.rectangles[clabel])
if vlimits is not None:
norm = colors.Normalize(vmin=vlimits[0],
vmax=vlimits[1],
clip=False)
else:
norm = colors.Normalize()
if len(patches) == 0:
patches = self.rectangles.values()
values = allValues
cmap = getattr(cm, cmap)
cmap.set_bad('k', 0.2)
if cmapOver is not None:
cmap.set_over(cmapOver, 1.0)
if cmapUnder is not None:
cmap.set_under(cmapUnder, 1.0)
p = PatchCollection(patches, norm=norm, cmap=cmap)
value_array = numpy.array(values)
masked_value_array = numpyMa.masked_where(numpy.isnan(value_array),
value_array)
p.set_array(masked_value_array)
try:
cb = self.fig.colorbar(p)
except Exception:
cb = None
sp.add_collection(p)
##############################
# put a histogram on the side
if useHist:
nbins = 30
histValues = numpy.array(values)
finiteValues = histValues[numpy.where(
numpy.isfinite(histValues))[0]]
left = right + 0.05
axH = self.fig.add_axes([left, bottom, histWidth, top - bottom])
binwid = float(vlimits[1] - vlimits[0]) / nbins
if binwid > 0.0 and len(finiteValues) > 0:
eps = 1.0e-4 * binwid
#print finiteValues, nbins, vlimits
nu, bu, pu = axH.hist(
finiteValues,
bins=nbins,
range=[vlimits[0] - eps, vlimits[1] + eps],
orientation='horizontal',
color='#aaaaaa',
fill=True)
#nu = numpy.array([1.0])
axH.set_ylim(vlimits)
xmax = 1.2 * nu.max()
if xmax <= 0.0:
xmax = 1.0
axH.set_xlim([0, xmax])
axH.set_xlabel('')
axH.set_ylabel('')
axH.set_xticklabels([])
axH.set_yticklabels([])
self.fig.sca(sp)
self.plotRaftBoundaries(sp, boundaryColors)
self.plotCcdBoundaries(sp)
self.markMissingCcds(sp, missingCcds)
self.markFailedCcds(sp, failedCcds, cmap, vlimits)
if self.cameraInfo.doLabel or doLabel:
self.labelSensors(sp)
if title is not None:
self.fig.text(0.5,
0.94,
title,
horizontalalignment="center",
fontsize=10)
#sp.set_title(title, fontsize=12)
sp.set_xlabel("Focal Plane X", fontsize=9)
sp.set_ylabel("Focal Plane Y", fontsize=9)
self.adjustTickLabels(sp, cb)
x0, y0, x1, y1 = self.getFpaLimits()
sp.set_xlim((x0 - borderPix, x1 + borderPix))
sp.set_ylim((y0 - borderPix, y1 + borderPix))
self.setMapInfo()
def makeFigure(
self,
borderPix=100,
boundaryColors='r',
doLabel=False,
showUndefined=False,
vlimits=None,
cmap="jet",
title=None,
cmapOver=None,
cmapUnder=None,
failLimits=None,
failColor='k',
):
"""Make the figure.
@param borderPix width of border in pixels
@param boundaryColors matplotlib color specifier for border
@param doLabel add ccd labels to the figure
@param showUndefined show sensors even if their value is None
@param vlimits [low, high] limits for colormap
@param cmap string name of an matplotlib.cm colormap
@param title title of the figure
@param cmapOver Color to use if above cmap high limit.
@param cmapUnder Color to use if below cmap low limit.
@param failLimits Limits to mark failure.
@param failColor Color to use to mark failed sensors.
"""
if vlimits is None:
arr = self.getDataArray()
vlimits = [arr.min(), arr.max()]
if failLimits is None:
failLimits = vlimits
histWidth = 0.05
useHist = True
if useHist:
left, right, bottom, top = 0.195, 0.95 - 2.0 * histWidth, 0.15, 0.9
else:
left, right, bottom, top = 0.195, 0.95, 0.15, 0.9
self.fig.subplots_adjust(left=left,
right=right,
bottom=bottom,
top=top)
colorValues = [] # needs to be synchronized with self.rectangles
patches = []
allValues = []
radiansWrtX = {}
lenInPix = {}
colorScalar = {}
haveColors = False
missingCcds = {}
failedCcds = {}
for r in self.camera:
raft = cameraGeom.cast_Raft(r)
rlabel = raft.getId().getName()
for c in raft:
ccd = cameraGeom.cast_Ccd(c)
clabel = ccd.getId().getName()
values = self.data[rlabel][clabel]
defaultLen = 1500.0
if isinstance(values, list):
if len(values) == 3:
radiansWrtXtmp, lenInPixtmp, colorScalartmp = values
elif len(values) == 2:
radiansWrtXtmp, lenInPixtmp = values
colorScalartmp = 0.0
else:
raise Exception(
"values for Vector must be float or [radians, lenInPix, [colorFloat]]."
)
if lenInPixtmp is None:
lenInPixtmp = defaultLen
else:
if values is not None:
values = float(values)
defaultLen = 1500.0 # this works for most ccds, but should change to eg. ccdwidth/2
else:
values = 0.0
defaultLen = 0.0
radiansWrtXtmp, lenInPixtmp, colorScalartmp = values, defaultLen, None
if lenInPixtmp < 0:
lenInPixtmp = 0
#print clabel, radiansWrtXtmp, lenInPixtmp, colorScalartmp
#print clabel, radiansWrtXtmp, lenInPixtmp, colorScalartmp
lenInPix[clabel] = lenInPixtmp
allValues.append(radiansWrtXtmp)
if (radiansWrtXtmp is not None): # or (showUndefined):
if colorScalartmp is not None:
colorValues.append(colorScalartmp)
patches.append(self.rectangles[clabel])
colorScalar[clabel] = colorScalartmp
haveColors = True
if colorScalartmp < failLimits[
0] or colorScalartmp > failLimits[1]:
failedCcds[clabel] = colorScalartmp
#if colorScalartmp > failLimits[1]:
# failedCcds[clabel] = 1
else:
colorValues.append(numpy.NaN)
patches.append(self.rectangles[clabel])
missingCcds[clabel] = self.ccdBoundaries[clabel]
radiansWrtX[clabel] = radiansWrtXtmp
else:
colorValues.append(numpy.NaN)
patches.append(self.rectangles[clabel])
missingCcds[clabel] = self.ccdBoundaries[clabel]
if vlimits is not None:
norm = colors.Normalize(vmin=vlimits[0],
vmax=vlimits[1],
clip=False)
else:
norm = colors.Normalize()
sp = self.fig.gca(
) #add_axes([left, bottom, right-left, top-bottom]) #gca()
##############################
# put a histogram on the side
if useHist:
nbins = 30
histValues = numpy.array(colorValues)
finiteValues = histValues[numpy.where(
numpy.isfinite(histValues))[0]]
left = right + 0.05
axH = self.fig.add_axes([left, bottom, histWidth, top - bottom])
binwid = float(vlimits[1] - vlimits[0]) / nbins
if binwid > 0.0 and len(finiteValues) > 0:
eps = 1.0e-4 * binwid
nu, bu, pu = axH.hist(
finiteValues,
bins=nbins,
range=[vlimits[0] - eps, vlimits[1] + eps],
orientation='horizontal',
color='#aaaaaa',
fill=True)
axH.set_ylim(vlimits)
axH.set_xlim([0, 1.2 * nu.max()])
axH.set_xlabel('')
axH.set_ylabel('')
axH.set_xticklabels([])
axH.set_yticklabels([])
self.fig.sca(sp)
if len(patches) > 0:
cmap = getattr(cm, cmap)
cmap.set_bad('k', 0.2)
if cmapOver is not None:
cmap.set_over(cmapOver, 1.0)
if cmapUnder is not None:
cmap.set_under(cmapUnder, 1.0)
p = PatchCollection(patches, norm=norm, cmap=cmap)
value_array = numpy.array(colorValues)
masked_value_array = numpyMa.masked_where(numpy.isnan(value_array),
value_array)
p.set_array(masked_value_array)
if haveColors or (vlimits is not None):
try:
cb = self.fig.colorbar(p)
except Exception:
cb = None
sp.add_collection(p)
for label, angle in radiansWrtX.items():
xc, yc = self.centers[label]
arrowLen = lenInPix[label]
x = xc - 0.5 * arrowLen * numpy.cos(angle)
y = yc - 0.5 * arrowLen * numpy.sin(angle)
dx = arrowLen * numpy.cos(angle)
dy = arrowLen * numpy.sin(angle)
if numpy.abs(dx) < 1.0e-15 or numpy.abs(dy) < 1.0e-15:
continue
sp.arrow(x, y, dx, dy) #, ec="k", lw=3)
self.plotRaftBoundaries(sp, boundaryColors)
self.plotCcdBoundaries(sp)
self.markMissingCcds(sp, missingCcds)
self.markFailedCcds(sp, failedCcds, cmap, vlimits)
if self.cameraInfo.doLabel or doLabel:
self.labelSensors(sp)
if title is not None:
self.fig.text(0.5,
0.94,
title,
horizontalalignment="center",
fontsize=10)
#sp.set_title(title, fontsize=12)
sp.set_xlabel("Focal Plane X", fontsize=9)
sp.set_ylabel("Focal Plane Y", fontsize=9)
if (not haveColors) and (vlimits is None):
cb = None
self.adjustTickLabels(sp, cb)
x0, y0, x1, y1 = self.getFpaLimits()
sp.set_xlim((x0 - borderPix, x1 + borderPix))
sp.set_ylim((y0 - borderPix, y1 + borderPix))
self.setMapInfo()
def process(self, clipboard):
"""
"""
self.log.log(Log.INFO, "Doing Saturation correction.")
#grab exposure from clipboard
exposure = clipboard.get(self.policy.getString("inputKeys.exposure"))
exposure = ipIsr.convertImageForIsr(exposure)
fwhm = self.policy.getDouble("parameters.defaultFwhm")
amp = cameraGeom.cast_Amp(exposure.getDetector())
dataBbox = amp.getDataSec(True)
x = dataBbox.getMinX()
y = dataBbox.getMinY()
height = dataBbox.getMaxY() - dataBbox.getMinY()
width = dataBbox.getMaxY() - dataBbox.getMinX()
dl = measAlg.DefectListT()
defectList = cameraGeom.cast_Ccd(amp.getParent()).getDefects()
if amp.getId().getIndex()[1] == 1:
for d in defectList:
d1 = measAlg.Defect(d.getBBox())
d1.shift(-x, -y)
bbox = d1.getBBox()
if bbox.getMinX() - 4 > width or bbox.getMaxY() - 4 < 0 or \
height - bbox.getMinY() - 1 > height or height - bbox.getMaxY() - 1 < 0:
pass
else:
nd = measAlg.Defect(
afwGeom.Box2I(
afwGeom.Point2I(bbox.getMinX() + 4,
height - bbox.getMinY() + 1),
bbox.getDimensions()))
dl.append(nd)
else:
for d in defectList:
d1 = measAlg.Defect(d.getBBox())
d1.shift(-x, -y)
bbox = d1.getBBox()
if bbox.getMinX() - 4 > width or bbox.getMaxY() - 4 < 0 or \
bbox.getMinY() - 1 > height or bbox.getMaxY() - 1 < 0:
pass
else:
nd = measAlg.Defect(
afwGeom.Box2I(bbox.getMin() + afwGeom.Extent2I(4, 1),
bbox.getDimensions()))
dl.append(nd)
saturation = amp.getElectronicParams().getSaturationLevel()
ipIsr.maskBadPixelsDef(exposure,
dl,
fwhm,
interpolate=True,
maskName='BAD')
ipIsr.saturationCorrection(exposure,
int(saturation),
fwhm,
growSaturated=False,
interpolate=True)
#ds9.mtv(exposure, frame = 0, title = "my Amp")
#exposure.writeFits("Amp.fits")
#output products
clipboard.put(
self.policy.get("outputKeys.saturationCorrectedExposure"),
exposure)
def main(butler, tract, visits, ccds=None, showPatch=False, singleVisit=False):
"""Plot the visits/CCDs belong to certain Tract."""
# draw the CCDs
ras, decs = [], []
for i_v, visit in enumerate(visits):
print i_v, visit
visitColor = "#%06x" % random.randint(0, 0xFFFFFF)
ccdList = [camGeom.cast_Ccd(ccd) for ccd in
camGeom.cast_Raft(butler.get("camera")[0])]
for ccd in ccdList:
bbox = ccd.getAllPixels()
ccdId = ccd.getId().getSerial()
if (ccds is None or ccdId in ccds) and ccdId < 104:
dataId = {'tract': tract, 'visit': visit, 'ccd': ccdId}
try:
wcs = afwImage.makeWcs(butler.get("calexp_md", dataId))
except:
pass
ra, dec = bboxToRaDec(bbox, wcs)
ras += ra
decs += dec
if singleVisit:
color = 'r'
else:
color = visitColor
pyplot.fill(ra, dec, fill=True, alpha=0.3,
color=color, edgecolor=color)
buff = 0.1
xlim = max(ras)+buff, min(ras)-buff
ylim = min(decs)-buff, max(decs)+buff
# draw the skymap
if showPatch:
skymap = butler.get('deepCoadd_skyMap', {'tract': tract})
tt = skymap[tract]
for patch in tt:
ra, dec = bboxToRaDec(patch.getInnerBBox(), tt.getWcs())
pyplot.fill(ra, dec, fill=False, edgecolor='k', lw=1,
linestyle='dashed')
if (xlim[1] < percent(ra) < xlim[0]) and (
ylim[0] < percent(dec) < ylim[1]):
pyplot.text(percent(ra), percent(dec, 0.9),
str(patch.getIndex()),
fontsize=6,
horizontalalignment='center',
verticalalignment='top')
# add labels as save
ax = pyplot.gca()
ax.set_xlabel("R.A. (deg)")
ax.set_ylabel("Decl. (deg)")
ax.set_xlim(xlim)
ax.set_ylim(ylim)
fig = pyplot.gcf()
if singleVisit:
fig.savefig("%s_patches_%s.png" % (tract, visit))
else:
fig.savefig("%s_patches.png" % tract)
fig.clear()
