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rayfunctions.py
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rayfunctions.py
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import numpy as np
import re
import os
import matplotlib.pyplot as plt
def RDBrmHeader(iname, oname):
#uses bash from OS to remove header, NB +13 is hardcoded
script = "tail -n +13 "+iname+" > RDBdata_noheaderTMP.txt && mv RDBdata_noheaderTMP.txt "+oname
os.system ("bash -c '%s'" % script)
return
def RDBLoad(segnum, filename):
#filename = '/home/james/ZemaxIO/RDBdata_noheader_400.txt'
with open(filename, "r") as ins:
#setup arrays
arrayrow = np.zeros([27]) #need to keep array correct length/comments from data
raynum = np.array([])
for line in ins:
if re.match(r'^\s*$', line): #Skip blank lines in file
continue
elif line[0] is 'R': #Capture RDB ray-number from this logic
raysplit = line.split()
raysplit = np.asarray(raysplit)
raysplit = raysplit[1].split(',')
raynum = np.append(raynum, raysplit[0])
#print raysplit, raysplit[1]
continue
elif line[0] is 'S': #If line begins with R or S, skip
continue
lsplit = line.split()
lsplit = np.asarray(lsplit)
"""here 4 refers to segment 4, the Dichroic from the zemax model
"""
if int(lsplit[0]) == segnum: #segnum is passed in from main for multiple segments to be loaded
#print lsplit, type(lsplit), len(lsplit), type(lsplit[0])
lsplit = lsplit[0:27]
arrayrow = np.vstack((arrayrow, lsplit))
#test RDB ray num logic here
#arrayrow = arrayrow[1:129,:] # delete first row zeros !!! this line for 64 horns
arrayrow = arrayrow[1:401,:]
#print raynum.shape, arrayrow.shape
arrayrow = np.c_[raynum, arrayrow]
#print arrayrow.shape
#drop duplicate rows, NB returns sorted numpy array
#print arrayrow.shape, arrayrow[0]
arrayrow = np.unique(arrayrow, axis=0)
return arrayrow
def AngleOfIncidence(sarr):
#see zemax documentation for this calculation
#make histograms of angles of incidence in Nx, Ny, & Nz
#https://community.zemax.com/got-a-question-7/is-an-angle-of-incidence-report-available-in-the-ray-database-viewer-866
thetas = np.array([])
for row in sarr:
L = float(row[13])
M = float(row[14])
N = float(row[15])
Nx = float(row[16])
Ny = float(row[17])
Nz = float(row[18])
# i = L*Nx + M*Ny + N*Nz
# j = np.sqrt(L**2 + M**2 + N**2)
# k = np.sqrt(Nx**2 + Ny**2 + Nz**2)
theta = np.arccos( L*Nx + M*Ny + N*Nz / (np.sqrt(L**2 + M**2 + N**2) * np.sqrt(Nx**2 + Ny**2 + Nz**2)))
theta = np.rad2deg(theta)
thetas = np.append(thetas, theta)
#print Nx, Ny, Nz, theta
#this value of theta should be check, was expecting 20degish
#add angle to seg array
return thetas
def AngleHist(thetas):
#need to fix this as I was expecting 45deg. (90+45=135, could be fault)
plt.figure(0)
plt.hist(abs(thetas - 180), bins=16)
plt.xlabel('Angle of Incidence')
plt.ylabel('Number of rays per Bin')
plt.title('Dichroic AoI Histogram')
plt.show
return
def DetPlotter(sarr1, sarr2, thetas):
#plot ray number on detector surfaces, multiplot
x1 = np.asarray(sarr1[:,10], dtype=np.float32)
y1 = np.asarray(sarr1[:,11], dtype=np.float32)
x2 = np.asarray(sarr2[:,10], dtype=np.float32)
y2 = np.asarray(sarr2[:,11], dtype=np.float32)
raytxt1 = np.asarray(sarr1[:,0], dtype=np.int)
raytxt2 = np.asarray(sarr2[:,0], dtype=np.int)
thetas = np.around(abs(thetas - 180), decimals=1)
plt.figure(1)
plt.subplot(121)
plt.scatter(x1, y1)
plt.axis([-75, 75, -75, 75])
plt.axis('equal')
plt.xlabel('X axis QUBIC GRF [mm]')
plt.ylabel('Y axis QUBIC GRF [mm]')
plt.title('Rays from Horns')
for i, txt in enumerate(raytxt1):
plt.annotate(txt, (x1[i], y1[i]))
plt.subplot(122)
plt.scatter(x2, y2)
plt.axis('equal')
plt.xlabel('X axis PG RF [mm]')
plt.ylabel('Y axis PG RF [mm]')
plt.title('Rays in Dichroic Plane')
for i, txt in enumerate(raytxt2):
plt.annotate(txt, (x2[i], y2[i]))
plt.show()
plt.figure(2)
plt.scatter(x2, y2)
#plt.axis('equal')
#plt.xlim(-215, 60)
#up close view
#plt.xlim(-20, 40)
#plt.ylim(325, 425)
plt.xlabel('X axis PG RF [mm]')
plt.ylabel('Y axis PG RF [mm]')
plt.title('Ray Angles in Dichroic Plane')
for i, txt in enumerate(thetas):
plt.annotate(txt, (x2[i], y2[i]))
plt.show()
return
def Analysis(thetas):
#print out basic analysis results. Maybe return them in the future
thetasort = np.sort(abs(thetas - 180))
print("theta vals... = ", thetasort)
return
def RDBMain(seg):
plt.close('all') # close all open figures
#remove header from RDB file
#RDBrmHeader()
#return array of segment/dichroic
#could pass in segment number here for generalisation
#return segment array for specific segment
#first test segment
#segment_number1 = 1
segmentarray1 = RDBLoad(seg)
#Dichroic segment
#segment_number5 = 5
#segmentarray5 = RDBLoad(segment_number5)
#calculate angle of incidence from RDB data
thetas = AngleOfIncidence(segmentarray5)
#plot histogram
AngleHist(thetas)
#plot rays on detectors
DetPlotter(segmentarray1, segmentarray5, thetas)
#basic analysis results
Analysis(thetas)
return