def getIDCFileType(idcfile):
""" Open ASCII IDCFILE to determine the type: cubic,trauger,... """
if idcfile == None:
return None
ifile = open(idcfile,'r')
# Search for the first line of the coefficients
_line = fileutil.rAsciiLine(ifile)
# Search for first non-commented line...
while _line[0] == '#':
_line = fileutil.rAsciiLine(ifile)
_type = _line.lower().rstrip()
if _type in ['cubic','quartic','quintic'] or _type.find('poly') > -1:
_type = 'cubic'
elif _type == 'trauger':
_type = 'trauger'
else:
_type = None
ifile.close()
del ifile
return _type
def readCubicTable(idcfile):
# Assumption: this will only be used for cubic file...
order = 3
# Also, this function does NOT perform any scaling on
# the coefficients, it simply passes along what is found
# in the file as is...
# Return a default geometry model if no coefficients filename
# is given. This model will not distort the data in any way.
if idcfile == None:
return fileutil.defaultModel()
ifile = open(idcfile,'r')
# Search for the first line of the coefficients
_line = fileutil.rAsciiLine(ifile)
_found = no
while _found == no:
if _line[:7] in ['cubic','quartic','quintic'] or _line[:4] == 'poly':
found = yes
break
_line = fileutil.rAsciiLine(ifile)
# Read in each row of coefficients, without line breaks or newlines
# split them into their values, and create a list for A coefficients
# and another list for the B coefficients
_line = fileutil.rAsciiLine(ifile)
a_coeffs = _line.split()
x0 = float(a_coeffs[0])
_line = fileutil.rAsciiLine(ifile)
a_coeffs[len(a_coeffs):] = _line.split()
# Scale coefficients for use within PyDrizzle
for i in range(len(a_coeffs)):
a_coeffs[i] = float(a_coeffs[i])
_line = fileutil.rAsciiLine(ifile)
b_coeffs = _line.split()
y0 = float(b_coeffs[0])
_line = fileutil.rAsciiLine(ifile)
b_coeffs[len(b_coeffs):] = _line.split()
# Scale coefficients for use within PyDrizzle
for i in range(len(b_coeffs)):
b_coeffs[i] = float(b_coeffs[i])
ifile.close()
del ifile
# Now, convert the coefficients into a Numeric array
# with the right coefficients in the right place.
# Populate output values now...
fx = np.zeros(shape=(order+1,order+1),dtype=np.float64)
fy = np.zeros(shape=(order+1,order+1),dtype=np.float64)
# Assign the coefficients to their array positions
fx[0,0] = 0.
fx[1] = np.array([a_coeffs[2],a_coeffs[1],0.,0.],dtype=np.float64)
fx[2] = np.array([a_coeffs[5],a_coeffs[4],a_coeffs[3],0.],dtype=np.float64)
fx[3] = np.array([a_coeffs[9],a_coeffs[8],a_coeffs[7],a_coeffs[6]],dtype=np.float64)
fy[0,0] = 0.
fy[1] = np.array([b_coeffs[2],b_coeffs[1],0.,0.],dtype=np.float64)
fy[2] = np.array([b_coeffs[5],b_coeffs[4],b_coeffs[3],0.],dtype=np.float64)
fy[3] = np.array([b_coeffs[9],b_coeffs[8],b_coeffs[7],b_coeffs[6]],dtype=np.float64)
# Used in Pattern.computeOffsets()
refpix = {}
refpix['XREF'] = None
refpix['YREF'] = None
refpix['V2REF'] = x0
refpix['V3REF'] = y0
refpix['XDELTA'] = 0.
refpix['YDELTA'] = 0.
refpix['PSCALE'] = None
refpix['DEFAULT_SCALE'] = no
refpix['centered'] = yes
return fx,fy,refpix,order
def readTraugerTable(idcfile,wavelength):
# Return a default geometry model if no coefficients filename
# is given. This model will not distort the data in any way.
if idcfile == None:
return fileutil.defaultModel()
# Trauger coefficients only result in a cubic file...
order = 3
numco = 10
a_coeffs = [0] * numco
b_coeffs = [0] * numco
indx = _MgF2(wavelength)
ifile = open(idcfile,'r')
# Search for the first line of the coefficients
_line = fileutil.rAsciiLine(ifile)
while _line[:7].lower() != 'trauger':
_line = fileutil.rAsciiLine(ifile)
# Read in each row of coefficients,split them into their values,
# and convert them into cubic coefficients based on
# index of refraction value for the given wavelength
# Build X coefficients from first 10 rows of Trauger coefficients
j = 0
while j < 20:
_line = fileutil.rAsciiLine(ifile)
if _line == '': continue
_lc = _line.split()
if j < 10:
a_coeffs[j] = float(_lc[0])+float(_lc[1])*(indx-1.5)+float(_lc[2])*(indx-1.5)**2
else:
b_coeffs[j-10] = float(_lc[0])+float(_lc[1])*(indx-1.5)+float(_lc[2])*(indx-1.5)**2
j = j + 1
ifile.close()
del ifile
# Now, convert the coefficients into a Numeric array
# with the right coefficients in the right place.
# Populate output values now...
fx = np.zeros(shape=(order+1,order+1),dtype=np.float64)
fy = np.zeros(shape=(order+1,order+1),dtype=np.float64)
# Assign the coefficients to their array positions
fx[0,0] = 0.
fx[1] = np.array([a_coeffs[2],a_coeffs[1],0.,0.],dtype=np.float64)
fx[2] = np.array([a_coeffs[5],a_coeffs[4],a_coeffs[3],0.],dtype=np.float64)
fx[3] = np.array([a_coeffs[9],a_coeffs[8],a_coeffs[7],a_coeffs[6]],dtype=np.float64)
fy[0,0] = 0.
fy[1] = np.array([b_coeffs[2],b_coeffs[1],0.,0.],dtype=np.float64)
fy[2] = np.array([b_coeffs[5],b_coeffs[4],b_coeffs[3],0.],dtype=np.float64)
fy[3] = np.array([b_coeffs[9],b_coeffs[8],b_coeffs[7],b_coeffs[6]],dtype=np.float64)
# Used in Pattern.computeOffsets()
refpix = {}
refpix['XREF'] = None
refpix['YREF'] = None
refpix['V2REF'] = None
refpix['V3REF'] = None
refpix['XDELTA'] = 0.
refpix['YDELTA'] = 0.
refpix['PSCALE'] = None
refpix['DEFAULT_SCALE'] = no
refpix['centered'] = yes
return fx,fy,refpix,order
def readCubicTable(idcfile):
# Assumption: this will only be used for cubic file...
order = 3
# Also, this function does NOT perform any scaling on
# the coefficients, it simply passes along what is found
# in the file as is...
# Return a default geometry model if no coefficients filename
# is given. This model will not distort the data in any way.
if idcfile is None:
return fileutil.defaultModel()
ifile = open(idcfile, 'r')
# Search for the first line of the coefficients
_line = fileutil.rAsciiLine(ifile)
_found = False
while not _found:
if _line[:7] in ['cubic', 'quartic', 'quintic'] or _line[:4] == 'poly':
# found = True
break
_line = fileutil.rAsciiLine(ifile)
# Read in each row of coefficients, without line breaks or newlines
# split them into their values, and create a list for A coefficients
# and another list for the B coefficients
_line = fileutil.rAsciiLine(ifile)
a_coeffs = _line.split()
x0 = float(a_coeffs[0])
_line = fileutil.rAsciiLine(ifile)
a_coeffs[len(a_coeffs):] = _line.split()
# Scale coefficients for use within PyDrizzle
for i in range(len(a_coeffs)):
a_coeffs[i] = float(a_coeffs[i])
_line = fileutil.rAsciiLine(ifile)
b_coeffs = _line.split()
y0 = float(b_coeffs[0])
_line = fileutil.rAsciiLine(ifile)
b_coeffs[len(b_coeffs):] = _line.split()
# Scale coefficients for use within PyDrizzle
for i in range(len(b_coeffs)):
b_coeffs[i] = float(b_coeffs[i])
ifile.close()
del ifile
# Now, convert the coefficients into a Numeric array
# with the right coefficients in the right place.
# Populate output values now...
fx = np.zeros(shape=(order + 1, order + 1), dtype=np.float64)
fy = np.zeros(shape=(order + 1, order + 1), dtype=np.float64)
# Assign the coefficients to their array positions
fx[0, 0] = 0.
fx[1] = np.array([a_coeffs[2], a_coeffs[1], 0., 0.], dtype=np.float64)
fx[2] = np.array([a_coeffs[5], a_coeffs[4], a_coeffs[3], 0.],
dtype=np.float64)
fx[3] = np.array([a_coeffs[9], a_coeffs[8], a_coeffs[7], a_coeffs[6]],
dtype=np.float64)
fy[0, 0] = 0.
fy[1] = np.array([b_coeffs[2], b_coeffs[1], 0., 0.], dtype=np.float64)
fy[2] = np.array([b_coeffs[5], b_coeffs[4], b_coeffs[3], 0.],
dtype=np.float64)
fy[3] = np.array([b_coeffs[9], b_coeffs[8], b_coeffs[7], b_coeffs[6]],
dtype=np.float64)
# Used in Pattern.computeOffsets()
refpix = {}
refpix['XREF'] = None
refpix['YREF'] = None
refpix['V2REF'] = x0
refpix['V3REF'] = y0
refpix['XDELTA'] = 0.
refpix['YDELTA'] = 0.
refpix['PSCALE'] = None
refpix['DEFAULT_SCALE'] = False
refpix['centered'] = True
return fx, fy, refpix, order
def readTraugerTable(idcfile, wavelength):
"""
Return a default geometry model if no coefficients filename
is given. This model will not distort the data in any way.
"""
if idcfile is None:
return fileutil.defaultModel()
# Trauger coefficients only result in a cubic file...
order = 3
numco = 10
a_coeffs = [0] * numco
b_coeffs = [0] * numco
indx = _MgF2(wavelength)
ifile = open(idcfile, 'r')
# Search for the first line of the coefficients
_line = fileutil.rAsciiLine(ifile)
while _line[:7].lower() != 'trauger':
_line = fileutil.rAsciiLine(ifile)
# Read in each row of coefficients,split them into their values,
# and convert them into cubic coefficients based on
# index of refraction value for the given wavelength
# Build X coefficients from first 10 rows of Trauger coefficients
j = 0
while j < 20:
_line = fileutil.rAsciiLine(ifile)
if _line == '': continue
_lc = _line.split()
if j < 10:
a_coeffs[j] = float(_lc[0]) + float(_lc[1]) * (indx - 1.5) + \
float(_lc[2]) * (indx - 1.5) ** 2
else:
b_coeffs[j - 10] = float(_lc[0]) + float(_lc[1]) * (indx - 1.5) + \
float(_lc[2]) * (indx - 1.5) ** 2
j = j + 1
ifile.close()
del ifile
# Now, convert the coefficients into a Numeric array
# with the right coefficients in the right place.
# Populate output values now...
fx = np.zeros(shape=(order + 1, order + 1), dtype=np.float64)
fy = np.zeros(shape=(order + 1, order + 1), dtype=np.float64)
# Assign the coefficients to their array positions
fx[0, 0] = 0.
fx[1] = np.array([a_coeffs[2], a_coeffs[1], 0., 0.], dtype=np.float64)
fx[2] = np.array([a_coeffs[5], a_coeffs[4], a_coeffs[3], 0.],
dtype=np.float64)
fx[3] = np.array([a_coeffs[9], a_coeffs[8], a_coeffs[7], a_coeffs[6]],
dtype=np.float64)
fy[0, 0] = 0.
fy[1] = np.array([b_coeffs[2], b_coeffs[1], 0., 0.], dtype=np.float64)
fy[2] = np.array([b_coeffs[5], b_coeffs[4], b_coeffs[3], 0.],
dtype=np.float64)
fy[3] = np.array([b_coeffs[9], b_coeffs[8], b_coeffs[7], b_coeffs[6]],
dtype=np.float64)
# Used in Pattern.computeOffsets()
refpix = {}
refpix['XREF'] = None
refpix['YREF'] = None
refpix['V2REF'] = None
refpix['V3REF'] = None
refpix['XDELTA'] = 0.
refpix['YDELTA'] = 0.
refpix['PSCALE'] = None
refpix['DEFAULT_SCALE'] = False
refpix['centered'] = True
return fx, fy, refpix, order
