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Commit e6b55c96 authored by Daniel Toyra's avatar Daniel Toyra
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Changed axes limits in surfacemap.plot(), and removed some waste code from read_map().

parent 2935577d
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pykat/optics/maps.py
View file @ e6b55c96
......@@ -309,6 +309,11 @@ class surfacemap(object):
ymax = len(self.y)-1
ylim = [self.y.min()*100, self.y.max()*100]
# ALSO (SEE LONG TEXT BELOW) ADDED BY DT TO FIX LIMITS
# ------------------------------------------------------
xlim,ylim = ylim,xlim
# ------------------------------------------------------
# min and max of z-values
zmin = self.data[xmin:xmax,ymin:ymax].min()
zmax = self.data[xmin:xmax,ymin:ymax].max()
......@@ -341,6 +346,7 @@ class surfacemap(object):
if xlim is not None: pylab.xlim(xlim)
if ylim is not None: pylab.ylim(ylim)
pylab.title('Surface map {0}, type {1}'.format(self.name, self.type))
cbar = fig.colorbar(axes)
......@@ -711,158 +717,10 @@ def read_map(filename, mapFormat='finesse'):
data = np.loadtxt(filename, dtype=np.float64,ndmin=2,comments='%')
# Converts raw ligo mirror map to the finesse format. Based
# on translation of the matlab script 'FT_read_ligo_map.m'.
elif mapFormat == 'ligohej':
# Remove '_asc.dat' for output name
name = filename.split('_')
name = '_'.join(name[:-1])
# Unknowns (why are these values hard coded here?)
# ------------------------------------------------------
# Standard maps have type 'phase' (they store surface
# heights)
maptype = 0
# Both (reflected and transmitted) light fields are
# affected
field = 0
# Measurements in nanometers
scaling = 1.0e-9
# ------------------------------------------------------
# Reading header of LIGO-map (Zygo file? Says Zygo in
# header...)
# ------------------------------------------------------
with open(filename, 'r') as f:
# Skip first three lines
for k in range(3):
f.readline()
line = f.readline().split()
# Unknown
# ----------------------------------------------
y0 = float(line[0])
x0 = float(line[1])
rows = float(line[2])
cols = float(line[3])
# ----------------------------------------------
# Skipping three lines
for k in range(3):
f.readline()
line = f.readline().split()
# Unknown (Scaling factors)
# ----------------------------------------------
# Interfeometric scaling factor (?)
S = float(line[1])
# wavelength (of what?)
lam = float(line[2])
# Obliquity factor (?)
O = float(line[4])
# Guessing physical step size
xstep = float(line[6])
ystep = float(line[6])
# ----------------------------------------------
# Skipping two lines
for k in range(2):
f.readline()
line = f.readline().split()
# Unknown
# Resolution of phase data points, 1 or 0.
phaseRes = float(line[0])
if phaseRes == 0:
R = 4096
elif phaseRes == 1:
R = 32768
else:
print('Error, invalid phaseRes')
# Unknown
hScale = S*O*lam/R
# Skipping four lines
for k in range(4):
f.readline()
# Skipping lines until '#' is found.
while f.readline()[0] != '#':
pass
# Reading the data
# ----------------------------------------------
# Function converting string to float
g = lambda x: float(x)
# Array with the data
data = np.array([])
# Reading data until next '#' is reached.
line = f.readline().split()
while line[0] != '#':
data = np.append(data, map(g,line))
line = f.readline().split()
# ----------------------------------------------
# Setting all the points outside of the mirror
# surface to NaN. These are given a large number
# in the file.
print(data[0])
data[data == data[0]] = np.nan
# Reshaping into rows and columns
data = data.reshape(cols,rows).transpose()
# Pretty sure that the lines below can be done
# more efficient, but it's quick as it is.
# ----------------------------------------------
# Flipping right and left
data = np.fliplr(data)
# Rotating 90 degrees clockwise
data = np.rot90(data,-1)
# Flipping right and left
data = np.fliplr(data)
# ----------------------------------------------
# Scaling to nanometer (change this to a user
# defined value?) Still don't know where
# 'hScale' really comes from.
data = (hScale/scaling)*data
size = data.shape
if maptype == 0:
mType = 'phase'
else:
mType = 'Unknown'
if field == 0:
fType = 'both'
else:
fType = 'unknown'
maptype = ' '.join([mType, fType])
# Wrong! fix by creating recenter method.
center = tuple([x0,y0])
step = tuple([xstep,ystep])
# Simple re-centering of mirror, translated from
# 'FT_recenter_mirror_map.m'
# -------------------------------------------------
# Matrix with ones where data element is not NaN.
isNan = np.isnan(data)
notNan = isNan==False
# Row and column indices with non-NaN elements
rIndx, cIndx = notNan.nonzero()
# Finding centres
x0 = float(cIndx.sum())/len(cIndx)
y0 = float(rIndx.sum())/len(rIndx)
center = tuple([x0,y0])
# -------------------------------------------------
# Changing NaN to zeros. Just to be able to plot the
# map with surfacemap.plot().
data[isNan] = 0
# Converts raw zygo mirror maps to the finesse format. Based
# on translation of the matlab script 'FT_read_zygo_map.m'.
# Converts raw zygo and ligo mirror maps to the finesse
# format. Based on translation of the matlab scripts
# 'FT_read_zygo_map.m' and 'FT_read_ligo_map.m'
elif mapFormat == 'ligo' or mapFormat == 'zygo':
if mapFormat == 'ligo':
isLigo = True
......
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