def main(rerun,
visit1,
visit2,
op,
ccdno,
datatype='calexp',
scale=None,
root=None,
invert=False,
cmap='gray',
vmax=None,
annotate=None,
bins=16,
rerun2=None,
showCbar=False,
vsig=None,
showAnnotate=False,
percent=None,
hilite=None):
vsigDefault = 5.0
visit1 = int(visit1)
if visit2:
visit2 = int(visit2)
ccdno = set([int(x) for x in hscUtil.idSplit(ccdno)])
butler1 = hscUtil.getButler(rerun, root=root)
if rerun2:
butler2 = hscUtil.getButler(rerun2, root=root)
else:
butler2 = butler1
if datatype not in calibTypes:
dataIds1 = butler1.queryMetadata(datatype,
"ccd",
format=["visit", "ccd"],
dataId={'visit': visit1})
dataIds1 = [{'visit': x[0], 'ccd': x[1]} for x in dataIds1]
else:
dataIds1 = [{'visit': visit1, 'ccd': x} for x in range(104)]
dataRef1 = None
dataRef2 = None
if visit2:
dataIds2 = butler2.queryMetadata(datatype,
"ccd",
format=["visit", "ccd"],
dataId={'visit': visit2})
dataIds2 = [{'visit': x[0], 'ccd': x[1]} for x in dataIds2]
# flip the color map
if invert:
cmap = re.sub("_r$", "", cmap) if re.match('_r$', cmap) else '_r'
# sleezy, but if vmax isn't set and we're linear, just use ccd in the middle to norm
if vmax is None and scale != 'histeq':
vmax = 'c049'
# handle the gray scale normalization
vmin = 0.0
mdRef1 = None
mdRef2 = None
if vmax:
if scale == 'histeq':
raise ValueError("Cannot specify vmax with histeq scaling.")
# if it identifies a CCD to use
if re.match("^c", vmax):
vmaxCcd = int(re.sub("c", "", vmax))
try:
dataRef1 = hscButler.getDataRef(butler1, {
'visit': visit1,
'ccd': vmaxCcd
})
imgRef1 = dataRef1.get(
datatype).getMaskedImage().getImage().getArray()
if datatype not in calibTypes:
mdRef1 = dataRef1.get(datatype + '_md', immediate=True)
if visit2:
dataRef2 = hscButler.getDataRef(butler2, {
'visit': visit2,
'ccd': vmaxCcd
})
imgRef2 = dataRef2.get(
datatype).getMaskedImage().getImage().getArray()
mdRef2 = dataRef2.get(datatype + '_md', immediate=True)
img_op = hscUtil.rebin(compute(imgRef1, imgRef2, op), bins)
med = numpy.median(img_op)
std = numpy.std(img_op)
if not vsig:
vsig = vsigDefault
delta = vsig * std
if percent:
delta = percent * med
vmin = med - abs(delta)
vmax = med + abs(delta)
else:
if showAnnotate:
exp1 = dataRef1.get(datatype)
aval = float(exp1.getMetadata().get(annotate))
med = aval
delta = vsig
if not vsig:
delta = 0.5 * aval
if percent:
delta = percent * aval
vmin = med - abs(delta)
vmax = med + abs(delta)
else:
img_op = imgRef1
med = numpy.median(img_op)
sig = numpy.sqrt(med)
delta = vsigDefault * sig
if vsig:
delta = vsig * sig
if percent:
delta = percent * med
vmin = med - abs(delta)
vmax = med + abs(delta)
if not vsig and not percent:
vmin = 0.5 * med
vmax = med + 5.0 * sig
except Exception, e:
raise RuntimeError("Could not get stats on vmax CCD" +
str(vmax) + " Exiting." + str(e))
elif re.search(":", vmax):
vmaxCcd = None
vmin, vmax = [float(x) for x in vmax.split(":")]
med = 0.5 * (vmax + vmin)
else:
vmaxCcd = None
vmax = float(vmax)
med = 0.5 * (vmax + vmin)
def main(visit,
rerun,
out,
ccd="0..103",
root=None,
point=None,
minchips=1,
showLabels=False,
boresightOnly=False,
edge=0.9):
pcen, rad, pcenVisit = None, None, None
if point:
pcenArgs = map(float, point.split(":"))
if len(pcenArgs) == 2:
pcenVisit, rad = pcenArgs
elif len(pcenArgs) == 3:
cx, cy, rad = pcenArgs
pcen = afwCoord.Fk5Coord(afwGeom.Point2D(cx, cy))
else:
raise ValueError(
"Unable to parse center 'point', must be ra:dec:rad or visit:rad"
)
print visit, rerun
butler = hscUtil.getButler(rerun, root=root)
visitWidths = []
visitHeights = []
dataIds = visitCcdToDataId(visit, ccd)
corners = {}
boresights = {}
for dataId in dataIds:
visit, ccd = dataId['visit'], dataId['ccd']
if boresightOnly and visit in boresights:
continue
print "Getting ", visit, ccd
try:
dataRef = hscButler.getDataRef(butler, dataId)
except Exception, e:
print "getDataRef() failed for ", visit, ccd, str(e)
continue
calfile = dataRef.get("calexp_filename", immediate=True)[0]
noCal = False
if not os.path.exists(calfile):
print calfile + " missing."
noCal = True
else:
# get the calexp
calmd = dataRef.get("calexp_md", immediate=True)
wcs = afwImage.makeWcs(calmd)
w, h = calmd.get("NAXIS1"), calmd.get("NAXIS2")
boresights[dataId['visit']] = [
calmd.get("RA2000"), calmd.get("DEC2000")
]
# get the corners in RA,Dec
ll = wcs.pixelToSky(afwGeom.Point2D(1, 1)).toFk5()
lr = wcs.pixelToSky(afwGeom.Point2D(w, 1)).toFk5()
ul = wcs.pixelToSky(afwGeom.Point2D(1, h)).toFk5()
ur = wcs.pixelToSky(afwGeom.Point2D(w, h)).toFk5()
if noCal:
rawfile = dataRef.get("raw_filename", immediate=True)[0]
if not os.path.exists(rawfile):
print rawfile + " missing too. continuing."
continue
else:
rawmd = dataRef.get("raw_md", immediate=True)
raS, decS = rawmd.get("RA2000"), rawmd.get("DEC2000")
boresights[dataId['visit']] = [raS, decS]
#ra, dec = c.getRa().asDegrees(), c.getDec().asDegrees()
crv1, crv2 = map(float,
[rawmd.get("CRVAL1"),
rawmd.get("CRVAL2")])
crp1, crp2 = map(float,
[rawmd.get("CRPIX1"),
rawmd.get("CRPIX2")])
useDelt = True
try:
cdelt1, cdelt2 = map(
float, [rawmd.get("CDELT1"),
rawmd.get("CDELT1")])
except:
useDelt = False
if not useDelt:
cd11, cd12, cd21, cd22 = map(float, [
rawmd.get("CD1_1"),
rawmd.get("CD1_2"),
rawmd.get("CD2_1"),
rawmd.get("CD2_2")
])
cdelt1 = 3600 * (cd11 + cd12) / 206265
cdelt2 = 3600 * (cd21 + cd22) / 206265
#cdelt1, cdelt2 = 1.0, 1.0
nx, ny = map(int, [rawmd.get("NAXIS1"), rawmd.get("NAXIS2")])
def trans(x, y):
ra = crv1 + (crp1 - x) * cdelt1
dec = crv2 + (crp2 - y) * cdelt2
return ra, dec
ll = afwCoord.Fk5Coord(afwGeom.Point2D(*trans(1, 1)))
lr = afwCoord.Fk5Coord(afwGeom.Point2D(*trans(nx, 1)))
ul = afwCoord.Fk5Coord(afwGeom.Point2D(*trans(1, ny)))
ur = afwCoord.Fk5Coord(afwGeom.Point2D(*trans(nx, ny)))
if pcenVisit and not pcen:
if int(pcenVisit) == int(visit):
cx, cy = boresights[pcenVisit]
pcen = afwCoord.Fk5Coord(cx, cy)
if visit not in corners:
corners[visit] = []
corners[visit].append([ll, lr, ur, ul, ccd])
def main(visit, rerun, out, ccd="0..103", root=None,
point=None, minchips=1, showLabels=False, boresightOnly=False, edge=0.9):
pcen, rad, pcenVisit = None, None, None
if point:
pcenArgs = map(float, point.split(":"))
if len(pcenArgs) == 2:
pcenVisit, rad = pcenArgs
elif len(pcenArgs) == 3:
cx, cy, rad = pcenArgs
pcen = afwCoord.Fk5Coord(afwGeom.Point2D(cx, cy))
else:
raise ValueError("Unable to parse center 'point', must be ra:dec:rad or visit:rad")
print visit, rerun
butler = hscUtil.getButler(rerun, root=root)
visitWidths = []
visitHeights = []
dataIds = visitCcdToDataId(visit, ccd)
corners = {}
boresights = {}
for dataId in dataIds:
visit, ccd = dataId['visit'], dataId['ccd']
if boresightOnly and visit in boresights:
continue
print "Getting ", visit, ccd
try:
dataRef = hscButler.getDataRef(butler, dataId)
except Exception, e:
print "getDataRef() failed for ", visit, ccd, str(e)
continue
calfile = dataRef.get("calexp_filename", immediate=True)[0]
noCal = False
if not os.path.exists(calfile):
print calfile+" missing."
noCal = True
else:
# get the calexp
calmd = dataRef.get("calexp_md", immediate=True)
wcs = afwImage.makeWcs(calmd)
w, h = calmd.get("NAXIS1"), calmd.get("NAXIS2")
boresights[dataId['visit']] = [calmd.get("RA2000"), calmd.get("DEC2000")]
# get the corners in RA,Dec
ll = wcs.pixelToSky(afwGeom.Point2D(1,1)).toFk5()
lr = wcs.pixelToSky(afwGeom.Point2D(w,1)).toFk5()
ul = wcs.pixelToSky(afwGeom.Point2D(1,h)).toFk5()
ur = wcs.pixelToSky(afwGeom.Point2D(w,h)).toFk5()
if noCal:
rawfile = dataRef.get("raw_filename", immediate=True)[0]
if not os.path.exists(rawfile):
print rawfile+" missing too. continuing."
continue
else:
rawmd = dataRef.get("raw_md", immediate=True)
raS, decS = rawmd.get("RA2000"), rawmd.get("DEC2000")
boresights[dataId['visit']] = [raS, decS]
#ra, dec = c.getRa().asDegrees(), c.getDec().asDegrees()
crv1, crv2 = map(float, [rawmd.get("CRVAL1"), rawmd.get("CRVAL2")])
crp1, crp2 = map(float, [rawmd.get("CRPIX1"), rawmd.get("CRPIX2")])
useDelt = True
try:
cdelt1, cdelt2 = map(float, [rawmd.get("CDELT1"), rawmd.get("CDELT1")])
except:
useDelt= False
if not useDelt:
cd11, cd12, cd21, cd22 = map(float, [rawmd.get("CD1_1"),
rawmd.get("CD1_2"),
rawmd.get("CD2_1"),
rawmd.get("CD2_2")])
cdelt1 = 3600*(cd11 + cd12)/206265
cdelt2 = 3600*(cd21 + cd22)/206265
#cdelt1, cdelt2 = 1.0, 1.0
nx, ny = map(int, [rawmd.get("NAXIS1"), rawmd.get("NAXIS2")])
def trans(x, y):
ra = crv1 + (crp1-x)*cdelt1
dec = crv2 + (crp2-y)*cdelt2
return ra, dec
ll = afwCoord.Fk5Coord(afwGeom.Point2D(*trans(1, 1)))
lr = afwCoord.Fk5Coord(afwGeom.Point2D(*trans(nx, 1)))
ul = afwCoord.Fk5Coord(afwGeom.Point2D(*trans(1, ny)))
ur = afwCoord.Fk5Coord(afwGeom.Point2D(*trans(nx, ny)))
if pcenVisit and not pcen:
if int(pcenVisit) == int(visit):
cx, cy = boresights[pcenVisit]
pcen = afwCoord.Fk5Coord(cx, cy)
if visit not in corners:
corners[visit] = []
corners[visit].append([ll, lr, ur, ul, ccd])
def main(rerun, visit1, visit2, op, ccdno,
datatype='calexp', scale=None, root=None, invert=False, cmap='gray',
vmax=None, annotate=None, bins=16, rerun2=None, showCbar=False, vsig=None,
showAnnotate=False, percent=None, hilite=None):
vsigDefault = 5.0
visit1 = int(visit1)
if visit2:
visit2 = int(visit2)
ccdno = set([int(x) for x in hscUtil.idSplit(ccdno)])
butler1 = hscUtil.getButler(rerun, root=root)
if rerun2:
butler2 = hscUtil.getButler(rerun2, root=root)
else:
butler2 = butler1
if datatype not in calibTypes:
dataIds1 = butler1.queryMetadata(datatype, "ccd", format=["visit", "ccd"], dataId={'visit':visit1})
dataIds1 = [{'visit':x[0], 'ccd':x[1]} for x in dataIds1]
else:
dataIds1 = [{'visit': visit1, 'ccd':x} for x in range(104)]
dataRef1 = None
dataRef2 = None
if visit2:
dataIds2 = butler2.queryMetadata(datatype, "ccd", format=["visit", "ccd"], dataId={'visit':visit2})
dataIds2 = [{'visit':x[0], 'ccd':x[1]} for x in dataIds2]
# flip the color map
if invert:
cmap = re.sub("_r$", "", cmap) if re.match('_r$', cmap) else '_r'
# sleezy, but if vmax isn't set and we're linear, just use ccd in the middle to norm
if vmax is None and scale != 'histeq':
vmax = 'c049'
# handle the gray scale normalization
vmin = 0.0
mdRef1 = None
mdRef2 = None
if vmax:
if scale == 'histeq':
raise ValueError("Cannot specify vmax with histeq scaling.")
# if it identifies a CCD to use
if re.match("^c", vmax):
vmaxCcd = int(re.sub("c", "", vmax))
try:
dataRef1 = hscButler.getDataRef(butler1, {'visit':visit1, 'ccd':vmaxCcd})
imgRef1 = dataRef1.get(datatype).getMaskedImage().getImage().getArray()
if datatype not in calibTypes:
mdRef1 = dataRef1.get(datatype+'_md', immediate=True)
if visit2:
dataRef2 = hscButler.getDataRef(butler2, {'visit':visit2, 'ccd':vmaxCcd})
imgRef2 = dataRef2.get(datatype).getMaskedImage().getImage().getArray()
mdRef2 = dataRef2.get(datatype+'_md', immediate=True)
img_op = hscUtil.rebin(compute(imgRef1, imgRef2, op), bins)
med = numpy.median(img_op)
std = numpy.std(img_op)
if not vsig:
vsig = vsigDefault
delta = vsig*std
if percent:
delta = percent*med
vmin = med - abs(delta)
vmax = med + abs(delta)
else:
if showAnnotate:
exp1 = dataRef1.get(datatype)
aval = float(exp1.getMetadata().get(annotate))
med = aval
delta = vsig
if not vsig:
delta = 0.5*aval
if percent:
delta = percent*aval
vmin = med - abs(delta)
vmax = med + abs(delta)
else:
img_op = imgRef1
med = numpy.median(img_op)
sig = numpy.sqrt(med)
delta = vsigDefault*sig
if vsig:
delta = vsig*sig
if percent:
delta = percent*med
vmin = med - abs(delta)
vmax = med + abs(delta)
if not vsig and not percent:
vmin = 0.5*med
vmax = med + 5.0*sig
except Exception, e:
raise RuntimeError("Could not get stats on vmax CCD" + str(vmax)+ " Exiting." + str(e))
elif re.search(":", vmax):
vmaxCcd = None
vmin, vmax = [float(x) for x in vmax.split(":")]
med = 0.5*(vmax + vmin)
else:
vmaxCcd = None
vmax = float(vmax)
med = 0.5*(vmax + vmin)
