Lidar polarisation GHK-parameter and error calculation: lidar_correction_ghk

lidar_correction_ghk_pollyxt.py@5dffdb7caec9 (annotated)

lidar_correction_ghk_pollyxt.py

Thu, 10 Nov 2016 16:16:39 +0200

author: iannis
date: Thu, 10 Nov 2016 16:16:39 +0200
changeset 1: 5dffdb7caec9
parent 0: calc_lidar_correction_parameters-G-H-K_ver9-PollyXT.py@d56e90f31b9e
child 11: 453b23dd7f94
permissions: -rw-r--r--

Renames script files.

 # -*- coding: utf-8 -*-
 """
 Copyright 2016 Volker Freudenthaler
 Licensed under the EUPL, Version 1.1 only (the "Licence").
 You may not use this work except in compliance with the Licence.
 A copy of the Licence is distributed with the code. Alternatively, you may obtain
 a copy of the Licence at:
 https://joinup.ec.europa.eu/community/eupl/og_page/eupl
 Unless required by applicable law or agreed to in writing, software distributed
 under the Licence is distributed on an "AS IS" basis, WITHOUT WARRANTIES OR CONDITIONS
 OF ANY KIND, either express or implied. See the Licence for the specific language governing
 permissions and limitations under the Licence.
 Equation reference: http://www.atmos-meas-tech-discuss.net/amt-2015-338/amt-2015-338.pdf
 With equations code from Appendix C
 Python 3.4.2
 """
 #!/usr/bin/env python3
 from __future__ import print_function
 #import math
 import numpy as np
 import sys
 import os
 #import seaborn as sns
 import matplotlib.pyplot as plt
 from time import clock
 #from matplotlib.backends.backend_pdf import PdfPages
 #pdffile = '{}.pdf'.format('path')
 #pp = PdfPages(pdffile)
 ## pp.savefig can be called multiple times to save to multiple pages
 #pp.savefig()
 #pp.close()
 from contextlib import contextmanager
 @contextmanager
 def redirect_stdout(new_target):
     old_target, sys.stdout = sys.stdout, new_target # replace sys.stdout
     try:
         yield new_target # run some code with the replaced stdout
     finally:
         sys.stdout.flush()
         sys.stdout = old_target # restore to the previous value
 '''
 real_raw_input = vars(__builtins__).get('raw_input',input)
 '''
 try:
     import __builtin__
     input = getattr(__builtin__, 'raw_input')
 except (ImportError, AttributeError):
     pass
 from distutils.util import strtobool
 def user_yes_no_query(question):
     sys.stdout.write('%s [y/n]\n' % question)
     while True:
         try:
             return strtobool(input().lower())
         except ValueError:
             sys.stdout.write('Please respond with \'y\' or \'n\'.\n')
 #if user_yes_no_query('want to exit?') == 1: sys.exit()
 '''
 ## {{{ http://code.activestate.com/recipes/577058/ (r2)
 def query_yes_no(question, default="yes"):
     valid = {"yes":"yes",   "y":"yes",  "ye":"yes",
              "no":"no",     "n":"no"}
     if default == None:
         prompt = " [y/n] "
     elif default == "yes":
         prompt = " [Y/n] "
     elif default == "no":
         prompt = " [y/N] "
     else:
         raise ValueError("invalid default answer: '%s'" % default)
     while 1:
         sys.stdout.write(question + prompt)
         choice = input().lower()
         if default is not None and choice == '':
             return default
         elif choice in valid.keys():
             return valid[choice]
         else:
             sys.stdout.write("Please respond with 'yes' or 'no' "\
                              "(or 'y' or 'n').\n")
 ## end of http://code.activestate.com/recipes/577058/ }}}
 '''
 abspath = os.path.abspath(__file__)
 dname = os.path.dirname(abspath)
 fname = os.path.basename(abspath)
 os.chdir(dname)
 #PrintToOutputFile = True
 sqr05 = 0.5**0.5
 # ---- Initial definition of variables; the actual values will be read in with exec(open('./optic_input.py').read()) below
 LID = "internal"
 EID = "internal"
 # --- IL Laser IL and +-Uncertainty
 bL = 1.    #degree of linear polarization; default 1
 RotL, dRotL, nRotL     = 0.0, 0.0,     1    #alpha; rotation of laser polarization in degrees; default 0
 # --- ME Emitter and +-Uncertainty
 DiE, dDiE, nDiE     = 0., 0.00,     1    # Diattenuation
 TiE         = 1.        # Unpolarized transmittance
 RetE, dRetE, nRetE     = 0., 180.0,     0    # Retardance in degrees
 RotE, dRotE, nRotE     = 0., 0.0,     0    # beta: Rotation of optical element in degrees
 # --- MO Receiver Optics including telescope
 DiO,  dDiO, nDiO     = -0.055, 0.003,     1
 TiO                 = 0.9
 RetO, dRetO, nRetO     = 0., 180.0,     2
 RotO, dRotO, nRotO     = 0., 0.1,     1    #gamma
 # --- PBS MT transmitting path defined with (TS,TP);  and +-Uncertainty
 TP,   dTP, nTP     = 0.98,     0.02,    1
 TS,   dTS, nTS     = 0.001, 0.001,    1
 TiT = 0.5 * (TP + TS)
 DiT = (TP-TS)/(TP+TS)
 # PolFilter
 RetT, dRetT, nRetT  = 0.,     180.,    0
 ERaT, dERaT, nERaT  = 0.001, 0.001,    1
 RotaT, dRotaT, nRotaT = 0.,     3., 1
 DaT = (1-ERaT)/(1+ERaT)
 TaT = 0.5*(1+ERaT)
 # --- PBS MR reflecting path defined with (RS,RP);  and +-Uncertainty
 RS, dRS, nRS = 1 - TS,  0., 0
 RP, dRP, nRP = 1 - TP,  0., 0
 TiR = 0.5 * (RP + RS)
 DiR = (RP-RS)/(RP+RS)
 # PolFilter
 RetR, dRetR, nRetR  = 0.,     180.,     0
 ERaR, dERaR, nERaR  = 0.001, 0.001, 1
 RotaR,dRotaR,nRotaR = 90.,     3.,        1
 DaR = (1-ERaR)/(1+ERaR)
 TaR = 0.5*(1+ERaR)
 # Parellel signal detected in the transmitted channel => Y = 1, or in the reflected channel => Y = -1
 Y = -1.
 # Calibrator =  type defined by matrix values
 LocC = 4     # location of calibrator: behind laser = 1; behind emitter = 2; before receiver = 3; before PBS = 4
 TypeC = 3   # linear polarizer calibrator
 # example with extinction ratio 0.001
 DiC, dDiC, nDiC     = 1.0,     0.,     0    # ideal 1.0
 TiC = 0.5    # ideal 0.5
 RetC, dRetC, nRetC     = 0.,     0.,     0
 RotC, dRotC, nRotC     = 0.0,     0.1,     0    #constant calibrator offset epsilon
 RotationErrorEpsilonForNormalMeasurements = False    #     is in general False for TypeC == 3 calibrator
 # Rotation error without calibrator: if False, then epsilon = 0 for normal measurements
 RotationErrorEpsilonForNormalMeasurements = True
 # LDRCal assumed atmospheric linear depolarization ratio during the calibration measurements (first guess)
 LDRCal0,dLDRCal,nLDRCal= 0.25, 0.04, 1
 LDRCal = LDRCal0
 # measured LDRm will be corrected with calculated parameters
 LDRmeas = 0.015
 # LDRtrue for simulation of measurement => LDRsim
 LDRtrue = 0.5
 LDRtrue2 = 0.004
 # Initialize other values to 0
 ER, nER, dER = 0.001, 0, 0.001
 K = 0.
 Km = 0.
 Kp = 0.
 LDRcorr = 0.
 Eta = 0.
 Ir = 0.
 It = 0.
 h = 1.
 Loc = ['', 'behind laser', 'behind emitter', 'before receiver', 'before PBS']
 Type = ['', 'mechanical rotator', 'hwp rotator', 'linear polarizer', 'qwp rotator', 'circular polarizer', 'real HWP +-22.5°']
 dY = ['reflected channel', '', 'transmitted channel']
 #  end of initial definition of variables
 # *******************************************************************************************************************************
 # --- Read actual lidar system parameters from ./optic_input.py  (must be in the same directory)
 #InputFile = 'optic_input_ver6e_PollyXTSea.py'
 #InputFile = 'optic_input_ver6e_PollyXTSea_JA.py'
 #InputFile = 'optic_input_ver6e_PollyXT_RALPH.py'
 #InputFile = 'optic_input_ver8c_PollyXT_RALPH.py'
 #InputFile = 'optic_input_ver8c_PollyXT_RALPH_2.py'
 #InputFile = 'optic_input_ver8c_PollyXT_RALPH_3.py'
 #InputFile = 'optic_input_ver8c_PollyXT_RALPH_4.py'
 #InputFile = 'optic_input_ver8c_PollyXT_RALPH_5.py'
 #InputFile = 'optic_input_ver8c_PollyXT_RALPH_6.py'
 InputFile = 'optic_input_ver8c_PollyXT_RALPH_7.py'
 #InputFile = 'optic_input_ver6e_Bertha_b_355.py'
 #InputFile = 'optic_input_ver6e_Bertha_b_532.py'
 #InputFile = 'optic_input_ver6e_Bertha_b_1064.py'
 '''
 print("From ", dname)
 print("Running ", fname)
 print("Reading input file ", InputFile, " for")
 '''
 # this works with Python 2 - and 3?
 exec(open('./'+InputFile).read(), globals())
 #  end of read actual system parameters
 # --- Manual Parameter Change ---
 #  (use for quick parameter changes without changing the input file )
 #DiO = 0.
 #LDRtrue = 0.45
 #LDRtrue2 = 0.004
 #Y = -1
 #LocC = 4 #location of calibrator: 1 = behind laser; 2 = behind emitter; 3 = before receiver; 4 = before PBS
 ##TypeC = 6  Don't change the TypeC here
 #RotationErrorEpsilonForNormalMeasurements = True
 #LDRCal = 0.25
 #bL = 0.8
 ## --- Errors
 RotL0, dRotL, nRotL = RotL, dRotL, nRotL
 DiE0,  dDiE,  nDiE  = DiE,  dDiE,  nDiE
 RetE0, dRetE, nRetE = RetE, dRetE, nRetE
 RotE0, dRotE, nRotE = RotE, dRotE, nRotE
 DiO0,  dDiO,  nDiO  = DiO,  dDiO,  nDiO
 RetO0, dRetO, nRetO = RetO, dRetO, nRetO
 RotO0, dRotO, nRotO = RotO, dRotO, nRotO
 DiC0,  dDiC,  nDiC  = DiC,  dDiC,  nDiC
 RetC0, dRetC, nRetC = RetC, dRetC, nRetC
 RotC0, dRotC, nRotC = RotC, dRotC, nRotC
 TP0,   dTP,   nTP   = TP,   dTP,     nTP
 TS0,   dTS,   nTS   = TS,   dTS,     nTS
 RetT0, dRetT, nRetT = RetT, dRetT, nRetT
 ERaT0, dERaT, nERaT = ERaT, dERaT, nERaT
 RotaT0,dRotaT,nRotaT= RotaT,dRotaT,nRotaT
 RP0,   dRP,   nRP   = RP,   dRP,   nRP
 RS0,   dRS,   nRS   = RS,   dRS,   nRS
 RetR0, dRetR, nRetR = RetR, dRetR, nRetR
 ERaR0, dERaR, nERaR = ERaR, dERaR, nERaR
 RotaR0,dRotaR,nRotaR= RotaR,dRotaR,nRotaR
 LDRCal0,dLDRCal,nLDRCal=LDRCal,dLDRCal,nLDRCal
 #LDRCal0,dLDRCal,nLDRCal=LDRCal,dLDRCal,0
 # ---------- End of manual parameter change
 RotL, RotE, RetE, DiE, RotO, RetO, DiO, RotC, RetC, DiC = RotL0, RotE0, RetE0, DiE0, RotO0, RetO0, DiO0, RotC0, RetC0, DiC0
 TP, TS, RP, RS, ERaT, RotaT, RetT, ERaR, RotaR, RetR = TP0, TS0, RP0, RS0 , ERaT0, RotaT0, RetT0, ERaR0, RotaR0, RetR0
 LDRCal = LDRCal0
 DTa0, TTa0, DRa0, TRa0, LDRsimx, LDRCorr = 0,0,0,0,0,0
 TiT = 0.5 * (TP + TS)
 DiT = (TP-TS)/(TP+TS)
 ZiT = (1. - DiT**2)**0.5
 TiR = 0.5 * (RP + RS)
 DiR = (RP-RS)/(RP+RS)
 ZiR = (1. - DiR**2)**0.5
 # --------------------------------------------------------
 def Calc(RotL, RotE, RetE, DiE, RotO, RetO, DiO, RotC, RetC, DiC, TP, TS, RP, RS, ERaT, RotaT, RetT, ERaR, RotaR, RetR, LDRCal):
     # ---- Do the calculations of bra-ket vectors
     h = -1. if TypeC == 2 else 1
     # from input file:  assumed LDRCal for calibration measurements
     aCal = (1.-LDRCal)/(1+LDRCal)
     # from input file: measured LDRm and true LDRtrue, LDRtrue2  =>
     #ameas = (1.-LDRmeas)/(1+LDRmeas)
     atrue = (1.-LDRtrue)/(1+LDRtrue)
     #atrue2 = (1.-LDRtrue2)/(1+LDRtrue2)
     # angles of emitter and laser and calibrator and receiver optics
     # RotL = alpha, RotE = beta, RotO = gamma, RotC = epsilon
     S2a = np.sin(2*np.deg2rad(RotL))
     C2a = np.cos(2*np.deg2rad(RotL))
     S2b = np.sin(2*np.deg2rad(RotE))
     C2b = np.cos(2*np.deg2rad(RotE))
     S2ab = np.sin(np.deg2rad(2*RotL-2*RotE))
     C2ab = np.cos(np.deg2rad(2*RotL-2*RotE))
     S2g = np.sin(np.deg2rad(2*RotO))
     C2g = np.cos(np.deg2rad(2*RotO))
     # Laser with Degree of linear polarization DOLP = bL
     IinL = 1.
     QinL = bL
     UinL = 0.
     VinL = (1. - bL**2)**0.5
     # Stokes Input Vector rotation Eq. E.4
     A = C2a*QinL - S2a*UinL
     B = S2a*QinL + C2a*UinL
     # Stokes Input Vector rotation Eq. E.9
     C = C2ab*QinL - S2ab*UinL
     D = S2ab*QinL + C2ab*UinL
     # emitter optics
     CosE = np.cos(np.deg2rad(RetE))
     SinE = np.sin(np.deg2rad(RetE))
     ZiE = (1. - DiE**2)**0.5
     WiE = (1. - ZiE*CosE)
     # Stokes Input Vector after emitter optics equivalent to Eq. E.9 with already rotated input vector from Eq. E.4
     # b = beta
     IinE = (IinL + DiE*C)
     QinE = (C2b*DiE*IinL + A + S2b*(WiE*D - ZiE*SinE*VinL))
     UinE = (S2b*DiE*IinL + B - C2b*(WiE*D - ZiE*SinE*VinL))
     VinE = (-ZiE*SinE*D + ZiE*CosE*VinL)
     # Stokes Input Vector before receiver optics Eq. E.19 (after atmosphere F)
     IinF = IinE
     QinF = aCal*QinE
     UinF = -aCal*UinE
     VinF = (1.-2.*aCal)*VinE
     # receiver optics
     CosO = np.cos(np.deg2rad(RetO))
     SinO = np.sin(np.deg2rad(RetO))
     ZiO = (1. - DiO**2)**0.5
     WiO = (1. - ZiO*CosO)
     # calibrator
     CosC = np.cos(np.deg2rad(RetC))
     SinC = np.sin(np.deg2rad(RetC))
     ZiC = (1. - DiC**2)**0.5
     WiC = (1. - ZiC*CosC)
     # Stokes Input Vector before the polarising beam splitter Eq. E.31
     A = C2g*QinE - S2g*UinE
     B = S2g*QinE + C2g*UinE
     IinP = (IinE + DiO*aCal*A)
     QinP = (C2g*DiO*IinE + aCal*QinE - S2g*(WiO*aCal*B + ZiO*SinO*(1-2*aCal)*VinE))
     UinP = (S2g*DiO*IinE - aCal*UinE + C2g*(WiO*aCal*B + ZiO*SinO*(1-2*aCal)*VinE))
     VinP = (ZiO*SinO*aCal*B + ZiO*CosO*(1-2*aCal)*VinE)
     #-------------------------
     # F11 assuemd to be = 1  => measured: F11m = IinP / IinE with atrue
     #F11sim = TiO*(IinE + DiO*atrue*A)/IinE
     #-------------------------
     # For PollyXT
     # analyser
     RS = 1 - TS
     RP = 1 - TP
     TiT = 0.5 * (TP + TS)
     DiT = (TP-TS)/(TP+TS)
     ZiT = (1. - DiT**2)**0.5
     TiR = 0.5 * (RP + RS)
     DiR = (RP-RS)/(RP+RS)
     ZiR = (1. - DiR**2)**0.5
     CosT = np.cos(np.deg2rad(RetT))
     SinT = np.sin(np.deg2rad(RetT))
     CosR = np.cos(np.deg2rad(RetR))
     SinR = np.sin(np.deg2rad(RetR))
     DaT = (1-ERaT)/(1+ERaT)
     DaR = (1-ERaR)/(1+ERaR)
     TaT = 0.5*(1+ERaT)
     TaR = 0.5*(1+ERaR)
     S2aT = np.sin(np.deg2rad(h*2*RotaT))
     C2aT = np.cos(np.deg2rad(2*RotaT))
     S2aR = np.sin(np.deg2rad(h*2*RotaR))
     C2aR = np.cos(np.deg2rad(2*RotaR))
     # Aanalyzer As before the PBS Eq. D.5
     ATP1 = (1+C2aT*DaT*DiT)
     ATP2 = Y*(DiT+C2aT*DaT)
     ATP3 = Y*S2aT*DaT*ZiT*CosT
     ATP4 = S2aT*DaT*ZiT*SinT
     ATP = np.array([ATP1,ATP2,ATP3,ATP4])
     ARP1 = (1+C2aR*DaR*DiR)
     ARP2 = Y*(DiR+C2aR*DaR)
     ARP3 = Y*S2aR*DaR*ZiR*CosR
     ARP4 = S2aR*DaR*ZiR*SinR
     ARP = np.array([ARP1,ARP2,ARP3,ARP4])
     DTa = ATP2*Y/ATP1
     DRa = ARP2*Y/ARP1
     # ---- Calculate signals and correction parameters for diffeent locations and calibrators
     if LocC == 4:  # Calibrator before the PBS
         #print("Calibrator location not implemented yet")
         #S2ge = np.sin(np.deg2rad(2*RotO + h*2*RotC))
         #C2ge = np.cos(np.deg2rad(2*RotO + h*2*RotC))
         S2e = np.sin(np.deg2rad(h*2*RotC))
         C2e = np.cos(np.deg2rad(2*RotC))
         # rotated AinP by epsilon Eq. C.3
         ATP2e = C2e*ATP2 + S2e*ATP3
         ATP3e = C2e*ATP3 - S2e*ATP2
         ARP2e = C2e*ARP2 + S2e*ARP3
         ARP3e = C2e*ARP3 - S2e*ARP2
         ATPe = np.array([ATP1,ATP2e,ATP3e,ATP4])
         ARPe = np.array([ARP1,ARP2e,ARP3e,ARP4])
         # Stokes Input Vector before the polarising beam splitter Eq. E.31
         A = C2g*QinE - S2g*UinE
         B = S2g*QinE + C2g*UinE
         #C = (WiO*aCal*B + ZiO*SinO*(1-2*aCal)*VinE)
         Co = ZiO*SinO*VinE
         Ca = (WiO*B - 2*ZiO*SinO*VinE)
         #C = Co + aCal*Ca
         #IinP = (IinE + DiO*aCal*A)
         #QinP = (C2g*DiO*IinE + aCal*QinE - S2g*C)
         #UinP = (S2g*DiO*IinE - aCal*UinE + C2g*C)
         #VinP = (ZiO*SinO*aCal*B + ZiO*CosO*(1-2*aCal)*VinE)
         IinPo = IinE
         QinPo = (C2g*DiO*IinE - S2g*Co)
         UinPo = (S2g*DiO*IinE + C2g*Co)
         VinPo = ZiO*CosO*VinE
         IinPa = DiO*A
         QinPa = QinE - S2g*Ca
         UinPa = -UinE + C2g*Ca
         VinPa = ZiO*(SinO*B - 2*CosO*VinE)
         IinP = IinPo + aCal*IinPa
         QinP = QinPo + aCal*QinPa
         UinP = UinPo + aCal*UinPa
         VinP = VinPo + aCal*VinPa
         # Stokes Input Vector before the polarising beam splitter rotated by epsilon Eq. C.3
         #QinPe = C2e*QinP + S2e*UinP
         #UinPe = C2e*UinP - S2e*QinP
         QinPoe = C2e*QinPo + S2e*UinPo
         UinPoe = C2e*UinPo - S2e*QinPo
         QinPae = C2e*QinPa + S2e*UinPa
         UinPae = C2e*UinPa - S2e*QinPa
         QinPe = C2e*QinP + S2e*UinP
         UinPe = C2e*UinP - S2e*QinP
         # Calibration signals and Calibration correction K from measurements with LDRCal / aCal
         if (TypeC == 2) or (TypeC == 1):  # rotator calibration Eq. C.4
             # parameters for calibration with aCal
             AT = ATP1*IinP + h*ATP4*VinP
             BT = ATP3e*QinP - h*ATP2e*UinP
             AR = ARP1*IinP + h*ARP4*VinP
             BR = ARP3e*QinP - h*ARP2e*UinP
             # Correction paremeters for normal measurements; they are independent of LDR
             if (not RotationErrorEpsilonForNormalMeasurements):   # calibrator taken out
                 IS1 = np.array([IinPo,QinPo,UinPo,VinPo])
                 IS2 = np.array([IinPa,QinPa,UinPa,VinPa])
                 GT = np.dot(ATP,IS1)
                 GR = np.dot(ARP,IS1)
                 HT = np.dot(ATP,IS2)
                 HR = np.dot(ARP,IS2)
             else:
                 IS1 = np.array([IinPo,QinPo,UinPo,VinPo])
                 IS2 = np.array([IinPa,QinPa,UinPa,VinPa])
                 GT = np.dot(ATPe,IS1)
                 GR = np.dot(ARPe,IS1)
                 HT = np.dot(ATPe,IS2)
                 HR = np.dot(ARPe,IS2)
         elif (TypeC == 3) or (TypeC == 4):  # linear polariser calibration Eq. C.5
             # parameters for calibration with aCal
             AT = ATP1*IinP + ATP3e*UinPe + ZiC*CosC*(ATP2e*QinPe + ATP4*VinP)
             BT = DiC*(ATP1*UinPe + ATP3e*IinP) - ZiC*SinC*(ATP2e*VinP - ATP4*QinPe)
             AR = ARP1*IinP + ARP3e*UinPe + ZiC*CosC*(ARP2e*QinPe + ARP4*VinP)
             BR = DiC*(ARP1*UinPe + ARP3e*IinP) - ZiC*SinC*(ARP2e*VinP - ARP4*QinPe)
             # Correction paremeters for normal measurements; they are independent of LDR
             if (not RotationErrorEpsilonForNormalMeasurements):   # calibrator taken out
                 IS1 = np.array([IinPo,QinPo,UinPo,VinPo])
                 IS2 = np.array([IinPa,QinPa,UinPa,VinPa])
                 GT = np.dot(ATP,IS1)
                 GR = np.dot(ARP,IS1)
                 HT = np.dot(ATP,IS2)
                 HR = np.dot(ARP,IS2)
             else:
                 IS1e = np.array([IinPo+DiC*QinPoe,DiC*IinPo+QinPoe,ZiC*(CosC*UinPoe+SinC*VinPo),-ZiC*(SinC*UinPoe-CosC*VinPo)])
                 IS2e = np.array([IinPa+DiC*QinPae,DiC*IinPa+QinPae,ZiC*(CosC*UinPae+SinC*VinPa),-ZiC*(SinC*UinPae-CosC*VinPa)])
                 GT = np.dot(ATPe,IS1e)
                 GR = np.dot(ARPe,IS1e)
                 HT = np.dot(ATPe,IS2e)
                 HR = np.dot(ARPe,IS2e)
         elif (TypeC == 6):  # diattenuator calibration +-22.5° rotated_diattenuator_X22x5deg.odt
             # parameters for calibration with aCal
             AT = ATP1*IinP + sqr05*DiC*(ATP1*QinPe + ATP2e*IinP) + (1-0.5*WiC)*(ATP2e*QinPe + ATP3e*UinPe) + ZiC*(sqr05*SinC*(ATP3e*VinP-ATP4*UinPe) + ATP4*CosC*VinP)
             BT = sqr05*DiC*(ATP1*UinPe + ATP3e*IinP) + 0.5*WiC*(ATP2e*UinPe + ATP3e*QinPe) - sqr05*ZiC*SinC*(ATP2e*VinP - ATP4*QinPe)
             AR = ARP1*IinP + sqr05*DiC*(ARP1*QinPe + ARP2e*IinP) + (1-0.5*WiC)*(ARP2e*QinPe + ARP3e*UinPe) + ZiC*(sqr05*SinC*(ARP3e*VinP-ARP4*UinPe) + ARP4*CosC*VinP)
             BR = sqr05*DiC*(ARP1*UinPe + ARP3e*IinP) + 0.5*WiC*(ARP2e*UinPe + ARP3e*QinPe) - sqr05*ZiC*SinC*(ARP2e*VinP - ARP4*QinPe)
             # Correction paremeters for normal measurements; they are independent of LDR
             if (not RotationErrorEpsilonForNormalMeasurements):   # calibrator taken out
                 IS1 = np.array([IinPo,QinPo,UinPo,VinPo])
                 IS2 = np.array([IinPa,QinPa,UinPa,VinPa])
                 GT = np.dot(ATP,IS1)
                 GR = np.dot(ARP,IS1)
                 HT = np.dot(ATP,IS2)
                 HR = np.dot(ARP,IS2)
             else:
                 IS1e = np.array([IinPo+DiC*QinPoe,DiC*IinPo+QinPoe,ZiC*(CosC*UinPoe+SinC*VinPo),-ZiC*(SinC*UinPoe-CosC*VinPo)])
                 IS2e = np.array([IinPa+DiC*QinPae,DiC*IinPa+QinPae,ZiC*(CosC*UinPae+SinC*VinPa),-ZiC*(SinC*UinPae-CosC*VinPa)])
                 GT = np.dot(ATPe,IS1e)
                 GR = np.dot(ARPe,IS1e)
                 HT = np.dot(ATPe,IS2e)
                 HR = np.dot(ARPe,IS2e)
         else:
             print("Calibrator not implemented yet")
             sys.exit()
     elif LocC == 3:  # C before receiver optics Eq.57
         #S2ge = np.sin(np.deg2rad(2*RotO - 2*RotC))
         #C2ge = np.cos(np.deg2rad(2*RotO - 2*RotC))
         S2e = np.sin(np.deg2rad(2*RotC))
         C2e = np.cos(np.deg2rad(2*RotC))
         # As with C before the receiver optics (rotated_diattenuator_X22x5deg.odt)
         AF1 = np.array([1,C2g*DiO,S2g*DiO,0])
         AF2 = np.array([C2g*DiO,1-S2g**2*WiO,S2g*C2g*WiO,-S2g*ZiO*SinO])
         AF3 = np.array([S2g*DiO,S2g*C2g*WiO,1-C2g**2*WiO,C2g*ZiO*SinO])
         AF4 = np.array([0,S2g*SinO,-C2g*SinO,CosO])
         ATF = (ATP1*AF1+ATP2*AF2+ATP3*AF3+ATP4*AF4)
         ARF = (ARP1*AF1+ARP2*AF2+ARP3*AF3+ARP4*AF4)
         ATF2 = ATF[1]
         ATF3 = ATF[2]
         ARF2 = ARF[1]
         ARF3 = ARF[2]
         # rotated AinF by epsilon
         ATF1 = ATF[0]
         ATF4 = ATF[3]
         ATF2e = C2e*ATF[1] + S2e*ATF[2]
         ATF3e = C2e*ATF[2] - S2e*ATF[1]
         ARF1 = ARF[0]
         ARF4 = ARF[3]
         ARF2e = C2e*ARF[1] + S2e*ARF[2]
         ARF3e = C2e*ARF[2] - S2e*ARF[1]
         ATFe = np.array([ATF1,ATF2e,ATF3e,ATF4])
         ARFe = np.array([ARF1,ARF2e,ARF3e,ARF4])
         QinEe = C2e*QinE + S2e*UinE
         UinEe = C2e*UinE - S2e*QinE
         # Stokes Input Vector before receiver optics Eq. E.19 (after atmosphere F)
         IinF = IinE
         QinF = aCal*QinE
         UinF = -aCal*UinE
         VinF = (1.-2.*aCal)*VinE
         IinFo = IinE
         QinFo = 0.
         UinFo = 0.
         VinFo = VinE
         IinFa = 0.
         QinFa = QinE
         UinFa = -UinE
         VinFa = -2.*VinE
         # Stokes Input Vector before receiver optics rotated by epsilon Eq. C.3
         QinFe = C2e*QinF + S2e*UinF
         UinFe = C2e*UinF - S2e*QinF
         QinFoe = C2e*QinFo + S2e*UinFo
         UinFoe = C2e*UinFo - S2e*QinFo
         QinFae = C2e*QinFa + S2e*UinFa
         UinFae = C2e*UinFa - S2e*QinFa
         # Calibration signals and Calibration correction K from measurements with LDRCal / aCal
         if (TypeC == 2) or (TypeC == 1):   # rotator calibration Eq. C.4
             # parameters for calibration with aCal
             AT = ATF1*IinF + ATF4*h*VinF
             BT = ATF3e*QinF - ATF2e*h*UinF
             AR = ARF1*IinF + ARF4*h*VinF
             BR = ARF3e*QinF - ARF2e*h*UinF
             # Correction paremeters for normal measurements; they are independent of LDR
             if (not RotationErrorEpsilonForNormalMeasurements):
                 GT = ATF1*IinE + ATF4*VinE
                 GR = ARF1*IinE + ARF4*VinE
                 HT = ATF2*QinE - ATF3*UinE - ATF4*2*VinE
                 HR = ARF2*QinE - ARF3*UinE - ARF4*2*VinE
             else:
                 GT = ATF1*IinE + ATF4*h*VinE
                 GR = ARF1*IinE + ARF4*h*VinE
                 HT = ATF2e*QinE - ATF3e*h*UinE - ATF4*h*2*VinE
                 HR = ARF2e*QinE - ARF3e*h*UinE - ARF4*h*2*VinE
         elif (TypeC == 3) or (TypeC == 4):  # linear polariser calibration Eq. C.5
             # p = +45°, m = -45°
             IF1e = np.array([IinF, ZiC*CosC*QinFe, UinFe, ZiC*CosC*VinF])
             IF2e = np.array([DiC*UinFe, -ZiC*SinC*VinF, DiC*IinF, ZiC*SinC*QinFe])
             AT = np.dot(ATFe,IF1e)
             AR = np.dot(ARFe,IF1e)
             BT = np.dot(ATFe,IF2e)
             BR = np.dot(ARFe,IF2e)
             # Correction paremeters for normal measurements; they are independent of LDR  --- the same as for TypeC = 6
             if (not RotationErrorEpsilonForNormalMeasurements):   # calibrator taken out
                 IS1 = np.array([IinE,0,0,VinE])
                 IS2 = np.array([0,QinE,-UinE,-2*VinE])
                 GT = np.dot(ATF,IS1)
                 GR = np.dot(ARF,IS1)
                 HT = np.dot(ATF,IS2)
                 HR = np.dot(ARF,IS2)
             else:
                 IS1e = np.array([IinFo+DiC*QinFoe,DiC*IinFo+QinFoe,ZiC*(CosC*UinFoe+SinC*VinFo),-ZiC*(SinC*UinFoe-CosC*VinFo)])
                 IS2e = np.array([IinFa+DiC*QinFae,DiC*IinFa+QinFae,ZiC*(CosC*UinFae+SinC*VinFa),-ZiC*(SinC*UinFae-CosC*VinFa)])
                 GT = np.dot(ATFe,IS1e)
                 GR = np.dot(ARFe,IS1e)
                 HT = np.dot(ATFe,IS2e)
                 HR = np.dot(ARFe,IS2e)
         elif (TypeC == 6):  # diattenuator calibration +-22.5° rotated_diattenuator_X22x5deg.odt
             # parameters for calibration with aCal
             IF1e = np.array([IinF+sqr05*DiC*QinFe, sqr05*DiC*IinF+(1-0.5*WiC)*QinFe, (1-0.5*WiC)*UinFe+sqr05*ZiC*SinC*VinF, -sqr05*ZiC*SinC*UinFe+ZiC*CosC*VinF])
             IF2e = np.array([sqr05*DiC*UinFe, 0.5*WiC*UinFe-sqr05*ZiC*SinC*VinF, sqr05*DiC*IinF+0.5*WiC*QinFe, sqr05*ZiC*SinC*QinFe])
             AT = np.dot(ATFe,IF1e)
             AR = np.dot(ARFe,IF1e)
             BT = np.dot(ATFe,IF2e)
             BR = np.dot(ARFe,IF2e)
             # Correction paremeters for normal measurements; they are independent of LDR
             if (not RotationErrorEpsilonForNormalMeasurements):   # calibrator taken out
                 #IS1 = np.array([IinE,0,0,VinE])
                 #IS2 = np.array([0,QinE,-UinE,-2*VinE])
                 IS1 = np.array([IinFo,0,0,VinFo])
                 IS2 = np.array([0,QinFa,UinFa,VinFa])
                 GT = np.dot(ATF,IS1)
                 GR = np.dot(ARF,IS1)
                 HT = np.dot(ATF,IS2)
                 HR = np.dot(ARF,IS2)
             else:
                 IS1e = np.array([IinFo+DiC*QinFoe,DiC*IinFo+QinFoe,ZiC*(CosC*UinFoe+SinC*VinFo),-ZiC*(SinC*UinFoe-CosC*VinFo)])
                 IS2e = np.array([IinFa+DiC*QinFae,DiC*IinFa+QinFae,ZiC*(CosC*UinFae+SinC*VinFa),-ZiC*(SinC*UinFae-CosC*VinFa)])
                 #IS1e = np.array([IinFo,0,0,VinFo])
                 #IS2e = np.array([0,QinFae,UinFae,VinFa])
                 GT = np.dot(ATFe,IS1e)
                 GR = np.dot(ARFe,IS1e)
                 HT = np.dot(ATFe,IS2e)
                 HR = np.dot(ARFe,IS2e)
         else:
             print('Calibrator not implemented yet')
             sys.exit()
     elif LocC == 2:  # C behind emitter optics Eq.57 -------------------------------------------------------
         #print("Calibrator location not implemented yet")
         S2e = np.sin(np.deg2rad(2*RotC))
         C2e = np.cos(np.deg2rad(2*RotC))
         # AS with C before the receiver optics (see document rotated_diattenuator_X22x5deg.odt)
         AF1 = np.array([1,C2g*DiO,S2g*DiO,0])
         AF2 = np.array([C2g*DiO,1-S2g**2*WiO,S2g*C2g*WiO,-S2g*ZiO*SinO])
         AF3 = np.array([S2g*DiO, S2g*C2g*WiO, 1-C2g**2*WiO, C2g*ZiO*SinO])
         AF4 = np.array([0, S2g*SinO, -C2g*SinO, CosO])
         ATF = (ATP1*AF1+ATP2*AF2+ATP3*AF3+ATP4*AF4)
         ARF = (ARP1*AF1+ARP2*AF2+ARP3*AF3+ARP4*AF4)
         ATF1 = ATF[0]
         ATF2 = ATF[1]
         ATF3 = ATF[2]
         ATF4 = ATF[3]
         ARF1 = ARF[0]
         ARF2 = ARF[1]
         ARF3 = ARF[2]
         ARF4 = ARF[3]
         # AS with C behind the emitter
         # terms without aCal
         ATE1o, ARE1o = ATF1, ARF1
         ATE2o, ARE2o = 0., 0.
         ATE3o, ARE3o = 0., 0.
         ATE4o, ARE4o = ATF4, ARF4
         # terms with aCal
         ATE1a, ARE1a = 0. , 0.
         ATE2a, ARE2a = ATF2, ARF2
         ATE3a, ARE3a = -ATF3, -ARF3
         ATE4a, ARE4a = -2*ATF4, -2*ARF4
         # rotated AinEa by epsilon
         ATE2ae =  C2e*ATF2 + S2e*ATF3
         ATE3ae = -S2e*ATF2 - C2e*ATF3
         ARE2ae =  C2e*ARF2 + S2e*ARF3
         ARE3ae = -S2e*ARF2 - C2e*ARF3
         ATE1 = ATE1o
         ATE2e = aCal*ATE2ae
         ATE3e = aCal*ATE3ae
         ATE4 = (1-2*aCal)*ATF4
         ARE1 = ARE1o
         ARE2e = aCal*ARE2ae
         ARE3e = aCal*ARE3ae
         ARE4 = (1-2*aCal)*ARF4
         # rotated IinE
         QinEe = C2e*QinE + S2e*UinE
         UinEe = C2e*UinE - S2e*QinE
         # Calibration signals and Calibration correction K from measurements with LDRCal / aCal
         if (TypeC == 2) or (TypeC == 1):   #  +++++++++ rotator calibration Eq. C.4
             AT = ATE1o*IinE + (ATE4o+aCal*ATE4a)*h*VinE
             BT = aCal * (ATE3ae*QinEe - ATE2ae*h*UinEe)
             AR = ARE1o*IinE + (ARE4o+aCal*ARE4a)*h*VinE
             BR = aCal * (ARE3ae*QinEe - ARE2ae*h*UinEe)
             # Correction paremeters for normal measurements; they are independent of LDR
             if (not RotationErrorEpsilonForNormalMeasurements):
                 # Stokes Input Vector before receiver optics Eq. E.19 (after atmosphere F)
                 GT = ATE1o*IinE + ATE4o*h*VinE
                 GR = ARE1o*IinE + ARE4o*h*VinE
                 HT = ATE2a*QinE + ATE3a*h*UinEe + ATE4a*h*VinE
                 HR = ARE2a*QinE + ARE3a*h*UinEe + ARE4a*h*VinE
             else:
                 GT = ATE1o*IinE + ATE4o*h*VinE
                 GR = ARE1o*IinE + ARE4o*h*VinE
                 HT = ATE2ae*QinE + ATE3ae*h*UinEe + ATE4a*h*VinE
                 HR = ARE2ae*QinE + ARE3ae*h*UinEe + ARE4a*h*VinE
         elif (TypeC == 3) or (TypeC == 4):  # +++++++++ linear polariser calibration Eq. C.5
             # p = +45°, m = -45°
             AT = ATE1*IinE + ZiC*CosC*(ATE2e*QinEe + ATE4*VinE) + ATE3e*UinEe
             BT = DiC*(ATE1*UinEe + ATE3e*IinE) + ZiC*SinC*(ATE4*QinEe - ATE2e*VinE)
             AR = ARE1*IinE + ZiC*CosC*(ARE2e*QinEe + ARE4*VinE) + ARE3e*UinEe
             BR = DiC*(ARE1*UinEe + ARE3e*IinE) + ZiC*SinC*(ARE4*QinEe - ARE2e*VinE)
             # Correction paremeters for normal measurements; they are independent of LDR
             if (not RotationErrorEpsilonForNormalMeasurements):
                 # Stokes Input Vector before receiver optics Eq. E.19 (after atmosphere F)
                 GT = ATE1o*IinE + ATE4o*VinE
                 GR = ARE1o*IinE + ARE4o*VinE
                 HT = ATE2a*QinE + ATE3a*UinE + ATE4a*VinE
                 HR = ARE2a*QinE + ARE3a*UinE + ARE4a*VinE
             else:
                 D = IinE + DiC*QinEe
                 A = DiC*IinE + QinEe
                 B = ZiC*(CosC*UinEe + SinC*VinE)
                 C = -ZiC*(SinC*UinEe - CosC*VinE)
                 GT = ATE1o*D + ATE4o*C
                 GR = ARE1o*D + ARE4o*C
                 HT = ATE2a*A + ATE3a*B + ATE4a*C
                 HR = ARE2a*A + ARE3a*B + ARE4a*C
         elif (TypeC == 6):  # real HWP calibration +-22.5° rotated_diattenuator_X22x5deg.odt
             # p = +22.5°, m = -22.5°
             IE1e = np.array([IinE+sqr05*DiC*QinEe, sqr05*DiC*IinE+(1-0.5*WiC)*QinEe, (1-0.5*WiC)*UinEe+sqr05*ZiC*SinC*VinE, -sqr05*ZiC*SinC*UinEe+ZiC*CosC*VinE])
             IE2e = np.array([sqr05*DiC*UinEe, 0.5*WiC*UinEe-sqr05*ZiC*SinC*VinE, sqr05*DiC*IinE+0.5*WiC*QinEe, sqr05*ZiC*SinC*QinEe])
             ATEe = np.array([ATE1,ATE2e,ATE3e,ATE4])
             AREe = np.array([ARE1,ARE2e,ARE3e,ARE4])
             AT = np.dot(ATEe,IE1e)
             AR = np.dot(AREe,IE1e)
             BT = np.dot(ATEe,IE2e)
             BR = np.dot(AREe,IE2e)
             # Correction paremeters for normal measurements; they are independent of LDR
             if (not RotationErrorEpsilonForNormalMeasurements):   # calibrator taken out
                 GT = ATE1o*IinE + ATE4o*VinE
                 GR = ARE1o*IinE + ARE4o*VinE
                 HT = ATE2a*QinE + ATE3a*UinE + ATE4a*VinE
                 HR = ARE2a*QinE + ARE3a*UinE + ARE4a*VinE
             else:
                 D = IinE + DiC*QinEe
                 A = DiC*IinE + QinEe
                 B = ZiC*(CosC*UinEe + SinC*VinE)
                 C = -ZiC*(SinC*UinEe - CosC*VinE)
                 GT = ATE1o*D + ATE4o*C
                 GR = ARE1o*D + ARE4o*C
                 HT = ATE2a*A + ATE3a*B + ATE4a*C
                 HR = ARE2a*A + ARE3a*B + ARE4a*C
         else:
             print('Calibrator not implemented yet')
             sys.exit()
     else:
         print("Calibrator location not implemented yet")
         sys.exit()
     # Determination of the correction K of the calibration factor
     IoutTp = TaT*TiT*TiO*TiE*(AT + BT)
     IoutTm = TaT*TiT*TiO*TiE*(AT - BT)
     IoutRp = TaR*TiR*TiO*TiE*(AR + BR)
     IoutRm = TaR*TiR*TiO*TiE*(AR - BR)
     # --- Results and Corrections; electronic etaR and etaT are assumed to be 1
     Etapx = IoutRp/IoutTp
     Etamx = IoutRm/IoutTm
     Etax = (Etapx*Etamx)**0.5
     Eta = (TaR*TiR)/(TaT*TiT)   # Eta = Eta*/K  Eq. 84
     K = Etax / Eta
     #  For comparison with Volkers Libreoffice Müller Matrix spreadsheet
     #Eta_test_p = (IoutRp/IoutTp)
     #Eta_test_m = (IoutRm/IoutTm)
     #Eta_test = (Eta_test_p*Eta_test_m)**0.5
     # ----- Forward simulated signals and LDRsim with atrue; from input file
     It = TaT*TiT*TiO*TiE*(GT+atrue*HT)
     Ir = TaR*TiR*TiO*TiE*(GR+atrue*HR)
     # LDRsim = 1/Eta*Ir/It  # simulated LDR* with Y from input file
     LDRsim = Ir/It  # simulated uncorrected LDR with Y from input file
     # Corrected LDRsimCorr from forward simulated LDRsim (atrue)
     # LDRsimCorr = (1./Eta*LDRsim*(GT+HT)-(GR+HR))/((GR-HR)-1./Eta*LDRsim*(GT-HT))
     if Y == -1.:
         LDRsimx = 1./LDRsim
     else:
         LDRsimx = LDRsim
     # The following is correct without doubt
     #LDRCorr = (LDRsim*K/Etax*(GT+HT)-(GR+HR))/((GR-HR)-LDRsim*K/Etax*(GT-HT))
     # The following is a test whether the equations for calibration Etax and normal  signal (GHK, LDRsim) are consistent
     LDRCorr = (LDRsim/Eta*(GT+HT)-(GR+HR))/((GR-HR)-LDRsim*K/Etax*(GT-HT))
     TTa = TiT*TaT #*ATP1
     TRa = TiR*TaR #*ARP1
     F11sim = 1/(TiO*TiE)*((HR*Etax/K*It/TTa-HT*Ir/TRa)/(HR*GT-HT*GR))    # IL = 1, Etat = Etar = 1
     return (GT, HT, GR, HR, K, Eta, LDRsimx, LDRCorr, DTa, DRa, TTa, TRa, F11sim)
 # *******************************************************************************************************************************
 # --- CALC truth
 GT0, HT0, GR0, HR0, K0, Eta0, LDRsimx, LDRCorr, DTa0, DRa0, TTa0, TRa0, F11sim0 = Calc(RotL0, RotE0, RetE0, DiE0, RotO0, RetO0, DiO0, RotC0, RetC0, DiC0, TP0, TS0, RP0, RS0, ERaT0, RotaT0, RetT0, ERaR0, RotaR0, RetR0, LDRCal0)
 # --------------------------------------------------------
 with open('output_' + LID + '.dat', 'w') as f:
     with redirect_stdout(f):
         print("From ", dname)
         print("Running ", fname)
         print("Reading input file ", InputFile) #, "  for Lidar system :", EID, ", ", LID)
         print("for Lidar system: ", EID, ", ", LID)
         # --- Print iput information*********************************
         print(" --- Input parameters: value ±error / ±steps  ----------------------")
         print("{0:8} {1:8} {2:8.5f}; {3:8} {4:7.4f}±{5:7.4f}/{6:2d}".format("Laser: ", "DOLP = ", bL, "        rotation alpha = ", RotL0, dRotL, nRotL))
         print("              Diatt.,             Tunpol,   Retard.,   Rotation (deg)")
         print("{0:12} {1:7.4f}±{2:7.4f}/{8:2d}, {3:7.4f}, {4:3.0f}±{5:3.0f}/{9:2d}, {6:7.4f}±{7:7.4f}/{10:2d}".format("Emitter    ", DiE0, dDiE, TiE, RetE0, dRetE, RotE0, dRotE, nDiE, nRetE, nRotE))
         print("{0:12} {1:7.4f}±{2:7.4f}/{8:2d}, {3:7.4f}, {4:3.0f}±{5:3.0f}/{9:2d}, {6:7.4f}±{7:7.4f}/{10:2d}".format("Receiver   ", DiO0, dDiO, TiO, RetO0, dRetO, RotO0, dRotO, nDiO, nRetO, nRotO))
         print("{0:12} {1:7.4f}±{2:7.4f}/{8:2d}, {3:7.4f}, {4:3.0f}±{5:3.0f}/{9:2d}, {6:7.4f}±{7:7.4f}/{10:2d}".format("Calibrator ", DiC0, dDiC, TiC, RetC0, dRetC, RotC0, dRotC, nDiC, nRetC, nRotC))
         print("{0:12}".format(" --- Pol.-filter ---"))
         print("{0:12}{1:7.4f}±{2:7.4f}/{3:2d}, {4:7.4f}±{5:7.4f}/{6:2d}".format("ERT,     ERR    :", ERaT0, dERaT, nERaT, ERaR0, dERaR, nERaR))
         print("{0:12}{1:7.4f}±{2:7.4f}/{3:2d}, {4:7.4f}±{5:7.4f}/{6:2d}".format("RotaT  , RotaR  :", RotaT0, dRotaT, nRotaT, RotaR0,dRotaR,nRotaR))
         print("{0:12}".format(" --- PBS ---"))
         print("{0:12}{1:7.4f}±{2:7.4f}/{9:2d}, {3:7.4f}±{4:7.4f}/{10:2d}, {5:7.4f}±{6:7.4f}/{11:2d},{7:7.4f}±{8:7.4f}/{12:2d}".format("TP,TS,RP,RS     :", TP0, dTP, TS0, dTS, RP0, dRP, RS0, dRS, nTP, nTS, nRP, nRS))
         print("{0:12}{1:7.4f},{2:7.4f}, {3:7.4f},{4:7.4f}, {5:1.0f}".format("DT,TT,DR,TR,Y   :", DiT, TiT, DiR, TiR, Y))
         print("{0:12}".format(" --- Combined PBS + Pol.-filter ---"))
         print("{0:12}{1:7.4f},{2:7.4f}, {3:7.4f},{4:7.4f}".format("DTa,TTa,DRa,TRa: ", DTa0, TTa0, DRa0, TRa0))
         print()
         print("Rotation Error Epsilon For Normal Measurements = ", RotationErrorEpsilonForNormalMeasurements)
         #print ('LocC = ', LocC, Loc[LocC], '; TypeC = ',TypeC, Type[TypeC])
         print(Type[TypeC], Loc[LocC], "; Parallel signal detected in", dY[int(Y+1)])
         #  end of print actual system parameters
         # ******************************************************************************
         #print()
         #print(" --- LDRCal during calibration | simulated and corrected LDRs -------------")
         #print("{0:8} |{1:8}->{2:8},{3:9}->{4:9} |{5:8}->{6:8}".format(" LDRCal"," LDRtrue", " LDRsim"," LDRtrue2", " LDRsim2", " LDRmeas", " LDRcorr"))
         #print("{0:8.5f} |{1:8.5f}->{2:8.5f},{3:9.5f}->{4:9.5f} |{5:8.5f}->{6:8.5f}".format(LDRCal, LDRtrue, LDRsim, LDRtrue2, LDRsim2, LDRmeas, LDRCorr))
         #print("{0:8}       |{1:8}->{2:8}->{3:8}".format(" LDRCal"," LDRtrue", " LDRsimx", " LDRcorr"))
         #print("{0:6.3f}±{1:5.3f}/{2:2d}|{3:8.5f}->{4:8.5f}->{5:8.5f}".format(LDRCal0, dLDRCal, nLDRCal, LDRtrue, LDRsimx, LDRCorr))
         #print("{0:8}       |{1:8}->{2:8}->{3:8}".format(" LDRCal"," LDRtrue", " LDRsimx", " LDRcorr"))
         #print(" --- LDRCal during calibration")
         print("{0:26}: {1:6.3f}±{2:5.3f}/{3:2d}".format("LDRCal during calibration", LDRCal0, dLDRCal, nLDRCal))
         #print("{0:8}={1:8.5f};{2:8}={3:8.5f}".format(" IinP",IinP," F11sim",F11sim))
         print()
         K0List = np.zeros(3)
         LDRsimxList = np.zeros(3)
         LDRCalList = 0.004, 0.2, 0.45
         for i,LDRCal in enumerate(LDRCalList):
             GT0, HT0, GR0, HR0, K0, Eta0, LDRsimx, LDRCorr, DTa0, DRa0, TTa0, TRa0, F11sim0 = Calc(RotL0, RotE0, RetE0, DiE0, RotO0, RetO0, DiO0, RotC0, RetC0, DiC0, TP0, TS0, RP0, RS0, ERaT0, RotaT0, RetT0, ERaR0, RotaR0, RetR0, LDRCal)
             K0List[i] = K0
             LDRsimxList[i] = LDRsimx
         print("{0:8},{1:8},{2:8},{3:8},{4:9},{5:9},{6:9}".format(" GR", " GT", " HR", " HT", " K(0.004)", " K(0.2)", " K(0.45)"))
         print("{0:8.5f},{1:8.5f},{2:8.5f},{3:8.5f},{4:9.5f},{5:9.5f},{6:9.5f}".format(GR0, GT0, HR0, HT0, K0List[0], K0List[1], K0List[2]))
         print('========================================================================')
         print("{0:9},{1:9},{2:9}".format("  LDRtrue", "  LDRsimx", "  LDRCorr"))
         LDRtrueList = 0.004, 0.02, 0.2, 0.45
         for i,LDRtrue in enumerate(LDRtrueList):
             GT0, HT0, GR0, HR0, K0, Eta0, LDRsimx, LDRCorr, DTa0, DRa0, TTa0, TRa0, F11sim0 = Calc(RotL0, RotE0, RetE0, DiE0, RotO0, RetO0, DiO0, RotC0, RetC0, DiC0, TP0, TS0, RP0, RS0, ERaT0, RotaT0, RetT0, ERaR0, RotaR0, RetR0, LDRCal0)
             print("{0:9.5f},{1:9.5f},{2:9.5f}".format(LDRtrue, LDRsimx, LDRCorr))
 file = open('output_' + LID + '.dat', 'r')
 print (file.read())
 file.close()
 '''
 if(PrintToOutputFile):
     f = open('output_ver7.dat', 'w')
     old_target = sys.stdout
     sys.stdout = f
     print("something")
 if(PrintToOutputFile):
     sys.stdout.flush()
     f.close
     sys.stdout = old_target
 '''
 # --- CALC again truth with LDRCal0 to reset all 0-values
 GT0, HT0, GR0, HR0, K0, Eta0, LDRsimx, LDRCorr, DTa0, DRa0, TTa0, TRa0, F11sim0 = Calc(RotL0, RotE0, RetE0, DiE0, RotO0, RetO0, DiO0, RotC0, RetC0, DiC0, TP0, TS0, RP0, RS0, ERaT0, RotaT0, RetT0, ERaR0, RotaR0, RetR0, LDRCal0)
 # --- Start Errors calculation
 iN = -1
 N = ((nRotL*2+1)*
     (nRotE*2+1)*(nRetE*2+1)*(nDiE*2+1)*
     (nRotO*2+1)*(nRetO*2+1)*(nDiO*2+1)*
     (nRotC*2+1)*(nRetC*2+1)*(nDiC*2+1)*
     (nTP*2+1)*(nTS*2+1)*(nRP*2+1)*(nRS*2+1)*(nERaT*2+1)*(nERaR*2+1)*
     (nRotaT*2+1)*(nRotaR*2+1)*(nRetT*2+1)*(nRetR*2+1)*(nLDRCal*2+1))
 print("N = ",N ," ", end="")
 if N > 1e6:
     if user_yes_no_query('Warning: processing ' + str(N) + ' samples will take very long. Do you want to proceed?') == 0: sys.exit()
 if N > 5e6:
     if user_yes_no_query('Warning: the memory required for ' + str(N) + ' samples might be ' + '{0:5.1f}'.format(N/4e6) + ' GB. Do you anyway want to proceed?') == 0: sys.exit()
 #if user_yes_no_query('Warning: processing' + str(N) + ' samples will take very long. Do you want to proceed?') == 0: sys.exit()
 # --- Arrays for plotting ------
 LDRmin = np.zeros(5)
 LDRmax = np.zeros(5)
 F11min = np.zeros(5)
 F11max = np.zeros(5)
 LDRrange = np.zeros(5)
 LDRrange = 0.004, 0.02, 0.1, 0.3, 0.45
 #aLDRsimx = np.zeros(N)
 #aLDRsimx2 = np.zeros(N)
 #aLDRcorr = np.zeros(N)
 #aLDRcorr2 = np.zeros(N)
 aERaT = np.zeros(N)
 aERaR = np.zeros(N)
 aRotaT = np.zeros(N)
 aRotaR = np.zeros(N)
 aRetT = np.zeros(N)
 aRetR = np.zeros(N)
 aTP = np.zeros(N)
 aTS = np.zeros(N)
 aRP = np.zeros(N)
 aRS = np.zeros(N)
 aDiE = np.zeros(N)
 aDiO = np.zeros(N)
 aDiC = np.zeros(N)
 aRotC = np.zeros(N)
 aRetC = np.zeros(N)
 aRotL = np.zeros(N)
 aRetE = np.zeros(N)
 aRotE = np.zeros(N)
 aRetO = np.zeros(N)
 aRotO = np.zeros(N)
 aLDRCal = np.zeros(N)
 aA = np.zeros((5,N))
 aX = np.zeros((5,N))
 aF11corr = np.zeros((5,N))
 atime = clock()
 dtime = clock()
 # --- Calc Error signals
 #GT, HT, GR, HR, K, Eta, LDRsim = Calc(RotL, RotE, RetE, DiE, RotO, RetO, DiO, RotC, RetC, DiC, TP, TS)
 # ---- Do the calculations of bra-ket vectors
 h = -1. if TypeC == 2 else 1
 # from input file: measured LDRm and true LDRtrue, LDRtrue2  =>
 ameas = (1.-LDRmeas)/(1+LDRmeas)
 atrue = (1.-LDRtrue)/(1+LDRtrue)
 atrue2 = (1.-LDRtrue2)/(1+LDRtrue2)
 for iLDRCal in range(-nLDRCal,nLDRCal+1):
     # from input file:  assumed LDRCal for calibration measurements
     LDRCal = LDRCal0
     if nLDRCal > 0: LDRCal = LDRCal0 + iLDRCal*dLDRCal/nLDRCal
     GT0, HT0, GR0, HR0, K0, Eta0, LDRsimx, LDRCorr, DTa0, DRa0, TTa0, TRa0, F11sim0 = Calc(RotL0, RotE0, RetE0, DiE0, RotO0, RetO0, DiO0, RotC0, RetC0, DiC0, TP0, TS0, RP0, RS0, ERaT0, RotaT0, RetT0, ERaR0, RotaR0, RetR0, LDRCal)
     aCal = (1.-LDRCal)/(1+LDRCal)
     for iRotL, iRotE, iRetE, iDiE \
         in [(iRotL,iRotE,iRetE,iDiE)
         for iRotL in range(-nRotL,nRotL+1)
         for iRotE in range(-nRotE,nRotE+1)
         for iRetE in range(-nRetE,nRetE+1)
         for iDiE in range(-nDiE,nDiE+1)]:
         if nRotL > 0: RotL = RotL0 + iRotL*dRotL/nRotL
         if nRotE > 0: RotE = RotE0 + iRotE*dRotE/nRotE
         if nRetE > 0: RetE = RetE0 + iRetE*dRetE/nRetE
         if nDiE > 0:  DiE  = DiE0  + iDiE*dDiE/nDiE
         # angles of emitter and laser and calibrator and receiver optics
         # RotL = alpha, RotE = beta, RotO = gamma, RotC = epsilon
         S2a = np.sin(2*np.deg2rad(RotL))
         C2a = np.cos(2*np.deg2rad(RotL))
         S2b = np.sin(2*np.deg2rad(RotE))
         C2b = np.cos(2*np.deg2rad(RotE))
         S2ab = np.sin(np.deg2rad(2*RotL-2*RotE))
         C2ab = np.cos(np.deg2rad(2*RotL-2*RotE))
         # Laser with Degree of linear polarization DOLP = bL
         IinL = 1.
         QinL = bL
         UinL = 0.
         VinL = (1. - bL**2)**0.5
         # Stokes Input Vector rotation Eq. E.4
         A = C2a*QinL - S2a*UinL
         B = S2a*QinL + C2a*UinL
         # Stokes Input Vector rotation Eq. E.9
         C = C2ab*QinL - S2ab*UinL
         D = S2ab*QinL + C2ab*UinL
         # emitter optics
         CosE = np.cos(np.deg2rad(RetE))
         SinE = np.sin(np.deg2rad(RetE))
         ZiE = (1. - DiE**2)**0.5
         WiE = (1. - ZiE*CosE)
         # Stokes Input Vector after emitter optics equivalent to Eq. E.9 with already rotated input vector from Eq. E.4
         # b = beta
         IinE = (IinL + DiE*C)
         QinE = (C2b*DiE*IinL + A + S2b*(WiE*D - ZiE*SinE*VinL))
         UinE = (S2b*DiE*IinL + B - C2b*(WiE*D - ZiE*SinE*VinL))
         VinE = (-ZiE*SinE*D + ZiE*CosE*VinL)
         #-------------------------
         # F11 assuemd to be = 1  => measured: F11m = IinP / IinE with atrue
         #F11sim = (IinE + DiO*atrue*(C2g*QinE - S2g*UinE))/IinE
         #-------------------------
         for iRotO, iRetO, iDiO, iRotC, iRetC, iDiC, iTP, iTS, iRP, iRS, iERaT, iRotaT, iRetT, iERaR, iRotaR, iRetR \
             in [(iRotO,iRetO,iDiO,iRotC,iRetC,iDiC,iTP,iTS,iRP,iRS,iERaT,iRotaT,iRetT,iERaR,iRotaR,iRetR )
             for iRotO in range(-nRotO,nRotO+1)
             for iRetO in range(-nRetO,nRetO+1)
             for iDiO in range(-nDiO,nDiO+1)
             for iRotC in range(-nRotC,nRotC+1)
             for iRetC in range(-nRetC,nRetC+1)
             for iDiC in range(-nDiC,nDiC+1)
             for iTP in range(-nTP,nTP+1)
             for iTS in range(-nTS,nTS+1)
             for iRP in range(-nRP,nRP+1)
             for iRS in range(-nRS,nRS+1)
             for iERaT in range(-nERaT,nERaT+1)
             for iRotaT in range(-nRotaT,nRotaT+1)
             for iRetT in range(-nRetT,nRetT+1)
             for iERaR in range(-nERaR,nERaR+1)
             for iRotaR in range(-nRotaR,nRotaR+1)
             for iRetR in range(-nRetR,nRetR+1)]:
             iN = iN + 1
             if (iN == 10001):
                 ctime = clock()
                 print(" estimated time ", "{0:4.2f}".format(N/10000 * (ctime-atime)), "sec ") #, end="")
                 print("\r elapsed time ", "{0:5.0f}".format((ctime-atime)), "sec ", end="\r")
             ctime = clock()
             if ((ctime - dtime) > 10):
                 print("\r elapsed time ", "{0:5.0f}".format((ctime-atime)), "sec ", end="\r")
                 dtime = ctime
             if nRotO > 0: RotO = RotO0 + iRotO*dRotO/nRotO
             if nRetO > 0: RetO = RetO0 + iRetO*dRetO/nRetO
             if nDiO > 0:  DiO  = DiO0  + iDiO*dDiO/nDiO
             if nRotC > 0: RotC = RotC0 + iRotC*dRotC/nRotC
             if nRetC > 0: RetC = RetC0 + iRetC*dRetC/nRetC
             if nDiC > 0:  DiC  = DiC0  + iDiC*dDiC/nDiC
             if nTP > 0:   TP   = TP0   + iTP*dTP/nTP
             if nTS > 0:   TS   = TS0   + iTS*dTS/nTS
             if nRP > 0:   RP   = RP0   + iRP*dRP/nRP
             if nRS > 0:   RS   = RS0   + iRS*dRS/nRS
             if nERaT > 0: ERaT = ERaT0 + iERaT*dERaT/nERaT
             if nRotaT > 0:RotaT= RotaT0+ iRotaT*dRotaT/nRotaT
             if nRetT > 0: RetT = RetT0 + iRetT*dRetT/nRetT
             if nERaR > 0: ERaR = ERaR0 + iERaR*dERaR/nERaR
             if nRotaR > 0:RotaR= RotaR0+ iRotaR*dRotaR/nRotaR
             if nRetR > 0: RetR = RetR0 + iRetR*dRetR/nRetR
             #print("{0:5.2f}, {1:5.2f}, {2:5.2f}, {3:10d}".format(RotL, RotE, RotO, iN))
             # receiver optics
             CosO = np.cos(np.deg2rad(RetO))
             SinO = np.sin(np.deg2rad(RetO))
             ZiO = (1. - DiO**2)**0.5
             WiO = (1. - ZiO*CosO)
             S2g = np.sin(np.deg2rad(2*RotO))
             C2g = np.cos(np.deg2rad(2*RotO))
             # calibrator
             CosC = np.cos(np.deg2rad(RetC))
             SinC = np.sin(np.deg2rad(RetC))
             ZiC = (1. - DiC**2)**0.5
             WiC = (1. - ZiC*CosC)
             #For POLLY_XT
             # analyser
             RS = 1 - TS
             RP = 1 - TP
             TiT = 0.5 * (TP + TS)
             DiT = (TP-TS)/(TP+TS)
             ZiT = (1. - DiT**2)**0.5
             TiR = 0.5 * (RP + RS)
             DiR = (RP-RS)/(RP+RS)
             ZiR = (1. - DiR**2)**0.5
             CosT = np.cos(np.deg2rad(RetT))
             SinT = np.sin(np.deg2rad(RetT))
             CosR = np.cos(np.deg2rad(RetR))
             SinR = np.sin(np.deg2rad(RetR))
             DaT = (1-ERaT)/(1+ERaT)
             DaR = (1-ERaR)/(1+ERaR)
             TaT = 0.5*(1+ERaT)
             TaR = 0.5*(1+ERaR)
             S2aT = np.sin(np.deg2rad(h*2*RotaT))
             C2aT = np.cos(np.deg2rad(2*RotaT))
             S2aR = np.sin(np.deg2rad(h*2*RotaR))
             C2aR = np.cos(np.deg2rad(2*RotaR))
             # Aanalyzer As before the PBS Eq. D.5
             ATP1 = (1+C2aT*DaT*DiT)
             ATP2 = Y*(DiT+C2aT*DaT)
             ATP3 = Y*S2aT*DaT*ZiT*CosT
             ATP4 = S2aT*DaT*ZiT*SinT
             ATP = np.array([ATP1,ATP2,ATP3,ATP4])
             ARP1 = (1+C2aR*DaR*DiR)
             ARP2 = Y*(DiR+C2aR*DaR)
             ARP3 = Y*S2aR*DaR*ZiR*CosR
             ARP4 = S2aR*DaR*ZiR*SinR
             ARP = np.array([ARP1,ARP2,ARP3,ARP4])
             TTa = TiT*TaT #*ATP1
             TRa = TiR*TaR #*ARP1
             # ---- Calculate signals and correction parameters for diffeent locations and calibrators
             if LocC == 4:  # Calibrator before the PBS
                 #print("Calibrator location not implemented yet")
                 #S2ge = np.sin(np.deg2rad(2*RotO + h*2*RotC))
                 #C2ge = np.cos(np.deg2rad(2*RotO + h*2*RotC))
                 S2e = np.sin(np.deg2rad(h*2*RotC))
                 C2e = np.cos(np.deg2rad(2*RotC))
                 # rotated AinP by epsilon Eq. C.3
                 ATP2e = C2e*ATP2 + S2e*ATP3
                 ATP3e = C2e*ATP3 - S2e*ATP2
                 ARP2e = C2e*ARP2 + S2e*ARP3
                 ARP3e = C2e*ARP3 - S2e*ARP2
                 ATPe = np.array([ATP1,ATP2e,ATP3e,ATP4])
                 ARPe = np.array([ARP1,ARP2e,ARP3e,ARP4])
                 # Stokes Input Vector before the polarising beam splitter Eq. E.31
                 A = C2g*QinE - S2g*UinE
                 B = S2g*QinE + C2g*UinE
                 #C = (WiO*aCal*B + ZiO*SinO*(1-2*aCal)*VinE)
                 Co = ZiO*SinO*VinE
                 Ca = (WiO*B - 2*ZiO*SinO*VinE)
                 #C = Co + aCal*Ca
                 #IinP = (IinE + DiO*aCal*A)
                 #QinP = (C2g*DiO*IinE + aCal*QinE - S2g*C)
                 #UinP = (S2g*DiO*IinE - aCal*UinE + C2g*C)
                 #VinP = (ZiO*SinO*aCal*B + ZiO*CosO*(1-2*aCal)*VinE)
                 IinPo = IinE
                 QinPo = (C2g*DiO*IinE - S2g*Co)
                 UinPo = (S2g*DiO*IinE + C2g*Co)
                 VinPo = ZiO*CosO*VinE
                 IinPa = DiO*A
                 QinPa = QinE - S2g*Ca
                 UinPa = -UinE + C2g*Ca
                 VinPa = ZiO*(SinO*B - 2*CosO*VinE)
                 IinP = IinPo + aCal*IinPa
                 QinP = QinPo + aCal*QinPa
                 UinP = UinPo + aCal*UinPa
                 VinP = VinPo + aCal*VinPa
                 # Stokes Input Vector before the polarising beam splitter rotated by epsilon Eq. C.3
                 #QinPe = C2e*QinP + S2e*UinP
                 #UinPe = C2e*UinP - S2e*QinP
                 QinPoe = C2e*QinPo + S2e*UinPo
                 UinPoe = C2e*UinPo - S2e*QinPo
                 QinPae = C2e*QinPa + S2e*UinPa
                 UinPae = C2e*UinPa - S2e*QinPa
                 QinPe = C2e*QinP + S2e*UinP
                 UinPe = C2e*UinP - S2e*QinP
                 # Calibration signals and Calibration correction K from measurements with LDRCal / aCal
                 if (TypeC == 2) or (TypeC == 1):  # rotator calibration Eq. C.4
                     # parameters for calibration with aCal
                     AT = ATP1*IinP + h*ATP4*VinP
                     BT = ATP3e*QinP - h*ATP2e*UinP
                     AR = ARP1*IinP + h*ARP4*VinP
                     BR = ARP3e*QinP - h*ARP2e*UinP
                     # Correction paremeters for normal measurements; they are independent of LDR
                     if (not RotationErrorEpsilonForNormalMeasurements):   # calibrator taken out
                         IS1 = np.array([IinPo,QinPo,UinPo,VinPo])
                         IS2 = np.array([IinPa,QinPa,UinPa,VinPa])
                         GT = np.dot(ATP,IS1)
                         GR = np.dot(ARP,IS1)
                         HT = np.dot(ATP,IS2)
                         HR = np.dot(ARP,IS2)
                     else:
                         IS1 = np.array([IinPo,QinPo,UinPo,VinPo])
                         IS2 = np.array([IinPa,QinPa,UinPa,VinPa])
                         GT = np.dot(ATPe,IS1)
                         GR = np.dot(ARPe,IS1)
                         HT = np.dot(ATPe,IS2)
                         HR = np.dot(ARPe,IS2)
                 elif (TypeC == 3) or (TypeC == 4):  # linear polariser calibration Eq. C.5
                     # parameters for calibration with aCal
                     AT = ATP1*IinP + ATP3e*UinPe + ZiC*CosC*(ATP2e*QinPe + ATP4*VinP)
                     BT = DiC*(ATP1*UinPe + ATP3e*IinP) - ZiC*SinC*(ATP2e*VinP - ATP4*QinPe)
                     AR = ARP1*IinP + ARP3e*UinPe + ZiC*CosC*(ARP2e*QinPe + ARP4*VinP)
                     BR = DiC*(ARP1*UinPe + ARP3e*IinP) - ZiC*SinC*(ARP2e*VinP - ARP4*QinPe)
                     # Correction paremeters for normal measurements; they are independent of LDR
                     if (not RotationErrorEpsilonForNormalMeasurements):   # calibrator taken out
                         IS1 = np.array([IinPo,QinPo,UinPo,VinPo])
                         IS2 = np.array([IinPa,QinPa,UinPa,VinPa])
                         GT = np.dot(ATP,IS1)
                         GR = np.dot(ARP,IS1)
                         HT = np.dot(ATP,IS2)
                         HR = np.dot(ARP,IS2)
                     else:
                         IS1e = np.array([IinPo+DiC*QinPoe,DiC*IinPo+QinPoe,ZiC*(CosC*UinPoe+SinC*VinPo),-ZiC*(SinC*UinPoe-CosC*VinPo)])
                         IS2e = np.array([IinPa+DiC*QinPae,DiC*IinPa+QinPae,ZiC*(CosC*UinPae+SinC*VinPa),-ZiC*(SinC*UinPae-CosC*VinPa)])
                         GT = np.dot(ATPe,IS1e)
                         GR = np.dot(ARPe,IS1e)
                         HT = np.dot(ATPe,IS2e)
                         HR = np.dot(ARPe,IS2e)
                 elif (TypeC == 6):  # diattenuator calibration +-22.5° rotated_diattenuator_X22x5deg.odt
                     # parameters for calibration with aCal
                     AT = ATP1*IinP + sqr05*DiC*(ATP1*QinPe + ATP2e*IinP) + (1-0.5*WiC)*(ATP2e*QinPe + ATP3e*UinPe) + ZiC*(sqr05*SinC*(ATP3e*VinP-ATP4*UinPe) + ATP4*CosC*VinP)
                     BT = sqr05*DiC*(ATP1*UinPe + ATP3e*IinP) + 0.5*WiC*(ATP2e*UinPe + ATP3e*QinPe) - sqr05*ZiC*SinC*(ATP2e*VinP - ATP4*QinPe)
                     AR = ARP1*IinP + sqr05*DiC*(ARP1*QinPe + ARP2e*IinP) + (1-0.5*WiC)*(ARP2e*QinPe + ARP3e*UinPe) + ZiC*(sqr05*SinC*(ARP3e*VinP-ARP4*UinPe) + ARP4*CosC*VinP)
                     BR = sqr05*DiC*(ARP1*UinPe + ARP3e*IinP) + 0.5*WiC*(ARP2e*UinPe + ARP3e*QinPe) - sqr05*ZiC*SinC*(ARP2e*VinP - ARP4*QinPe)
                     # Correction paremeters for normal measurements; they are independent of LDR
                     if (not RotationErrorEpsilonForNormalMeasurements):   # calibrator taken out
                         IS1 = np.array([IinPo,QinPo,UinPo,VinPo])
                         IS2 = np.array([IinPa,QinPa,UinPa,VinPa])
                         GT = np.dot(ATP,IS1)
                         GR = np.dot(ARP,IS1)
                         HT = np.dot(ATP,IS2)
                         HR = np.dot(ARP,IS2)
                     else:
                         IS1e = np.array([IinPo+DiC*QinPoe,DiC*IinPo+QinPoe,ZiC*(CosC*UinPoe+SinC*VinPo),-ZiC*(SinC*UinPoe-CosC*VinPo)])
                         IS2e = np.array([IinPa+DiC*QinPae,DiC*IinPa+QinPae,ZiC*(CosC*UinPae+SinC*VinPa),-ZiC*(SinC*UinPae-CosC*VinPa)])
                         GT = np.dot(ATPe,IS1e)
                         GR = np.dot(ARPe,IS1e)
                         HT = np.dot(ATPe,IS2e)
                         HR = np.dot(ARPe,IS2e)
                 else:
                     print("Calibrator not implemented yet")
                     sys.exit()
             elif LocC == 3:  # C before receiver optics Eq.57
                 #S2ge = np.sin(np.deg2rad(2*RotO - 2*RotC))
                 #C2ge = np.cos(np.deg2rad(2*RotO - 2*RotC))
                 S2e = np.sin(np.deg2rad(2*RotC))
                 C2e = np.cos(np.deg2rad(2*RotC))
                 # AS with C before the receiver optics (see document rotated_diattenuator_X22x5deg.odt)
                 AF1 = np.array([1,C2g*DiO,S2g*DiO,0])
                 AF2 = np.array([C2g*DiO,1-S2g**2*WiO,S2g*C2g*WiO,-S2g*ZiO*SinO])
                 AF3 = np.array([S2g*DiO, S2g*C2g*WiO, 1-C2g**2*WiO, C2g*ZiO*SinO])
                 AF4 = np.array([0, S2g*SinO, -C2g*SinO, CosO])
                 ATF = (ATP1*AF1+ATP2*AF2+ATP3*AF3+ATP4*AF4)
                 ARF = (ARP1*AF1+ARP2*AF2+ARP3*AF3+ARP4*AF4)
                 ATF1 = ATF[0]
                 ATF2 = ATF[1]
                 ATF3 = ATF[2]
                 ATF4 = ATF[3]
                 ARF1 = ARF[0]
                 ARF2 = ARF[1]
                 ARF3 = ARF[2]
                 ARF4 = ARF[3]
                 # rotated AinF by epsilon
                 ATF2e = C2e*ATF[1] + S2e*ATF[2]
                 ATF3e = C2e*ATF[2] - S2e*ATF[1]
                 ARF2e = C2e*ARF[1] + S2e*ARF[2]
                 ARF3e = C2e*ARF[2] - S2e*ARF[1]
                 ATFe = np.array([ATF1,ATF2e,ATF3e,ATF4])
                 ARFe = np.array([ARF1,ARF2e,ARF3e,ARF4])
                 QinEe = C2e*QinE + S2e*UinE
                 UinEe = C2e*UinE - S2e*QinE
                 # Stokes Input Vector before receiver optics Eq. E.19 (after atmosphere F)
                 IinF = IinE
                 QinF = aCal*QinE
                 UinF = -aCal*UinE
                 VinF = (1.-2.*aCal)*VinE
                 IinFo = IinE
                 QinFo = 0.
                 UinFo = 0.
                 VinFo = VinE
                 IinFa = 0.
                 QinFa = QinE
                 UinFa = -UinE
                 VinFa = -2.*VinE
                 # Stokes Input Vector before receiver optics rotated by epsilon Eq. C.3
                 QinFe = C2e*QinF + S2e*UinF
                 UinFe = C2e*UinF - S2e*QinF
                 QinFoe = C2e*QinFo + S2e*UinFo
                 UinFoe = C2e*UinFo - S2e*QinFo
                 QinFae = C2e*QinFa + S2e*UinFa
                 UinFae = C2e*UinFa - S2e*QinFa
                 # Calibration signals and Calibration correction K from measurements with LDRCal / aCal
                 if (TypeC == 2) or (TypeC == 1):   # rotator calibration Eq. C.4
                     AT = ATF1*IinF + ATF4*h*VinF
                     BT = ATF3e*QinF - ATF2e*h*UinF
                     AR = ARF1*IinF + ARF4*h*VinF
                     BR = ARF3e*QinF - ARF2e*h*UinF
                     # Correction paremeters for normal measurements; they are independent of LDR
                     if (not RotationErrorEpsilonForNormalMeasurements):
                         GT = ATF1*IinE + ATF4*VinE
                         GR = ARF1*IinE + ARF4*VinE
                         HT = ATF2*QinE - ATF3*UinE - ATF4*2*VinE
                         HR = ARF2*QinE - ARF3*UinE - ARF4*2*VinE
                     else:
                         GT = ATF1*IinE + ATF4*h*VinE
                         GR = ARF1*IinE + ARF4*h*VinE
                         HT = ATF2e*QinE - ATF3e*h*UinE - ATF4*h*2*VinE
                         HR = ARF2e*QinE - ARF3e*h*UinE - ARF4*h*2*VinE
                 elif (TypeC == 3) or (TypeC == 4):  # linear polariser calibration Eq. C.5
                     # p = +45°, m = -45°
                     IF1e = np.array([IinF, ZiC*CosC*QinFe, UinFe, ZiC*CosC*VinF])
                     IF2e = np.array([DiC*UinFe, -ZiC*SinC*VinF, DiC*IinF, ZiC*SinC*QinFe])
                     AT = np.dot(ATFe,IF1e)
                     AR = np.dot(ARFe,IF1e)
                     BT = np.dot(ATFe,IF2e)
                     BR = np.dot(ARFe,IF2e)
                     # Correction paremeters for normal measurements; they are independent of LDR  --- the same as for TypeC = 6
                     if (not RotationErrorEpsilonForNormalMeasurements):   # calibrator taken out
                         IS1 = np.array([IinE,0,0,VinE])
                         IS2 = np.array([0,QinE,-UinE,-2*VinE])
                         GT = np.dot(ATF,IS1)
                         GR = np.dot(ARF,IS1)
                         HT = np.dot(ATF,IS2)
                         HR = np.dot(ARF,IS2)
                     else:
                         IS1e = np.array([IinFo+DiC*QinFoe,DiC*IinFo+QinFoe,ZiC*(CosC*UinFoe+SinC*VinFo),-ZiC*(SinC*UinFoe-CosC*VinFo)])
                         IS2e = np.array([IinFa+DiC*QinFae,DiC*IinFa+QinFae,ZiC*(CosC*UinFae+SinC*VinFa),-ZiC*(SinC*UinFae-CosC*VinFa)])
                         GT = np.dot(ATFe,IS1e)
                         GR = np.dot(ARFe,IS1e)
                         HT = np.dot(ATFe,IS2e)
                         HR = np.dot(ARFe,IS2e)
                 elif (TypeC == 6):  # diattenuator calibration +-22.5° rotated_diattenuator_X22x5deg.odt
                     # p = +22.5°, m = -22.5°
                     IF1e = np.array([IinF+sqr05*DiC*QinFe, sqr05*DiC*IinF+(1-0.5*WiC)*QinFe, (1-0.5*WiC)*UinFe+sqr05*ZiC*SinC*VinF, -sqr05*ZiC*SinC*UinFe+ZiC*CosC*VinF])
                     IF2e = np.array([sqr05*DiC*UinFe, 0.5*WiC*UinFe-sqr05*ZiC*SinC*VinF, sqr05*DiC*IinF+0.5*WiC*QinFe, sqr05*ZiC*SinC*QinFe])
                     AT = np.dot(ATFe,IF1e)
                     AR = np.dot(ARFe,IF1e)
                     BT = np.dot(ATFe,IF2e)
                     BR = np.dot(ARFe,IF2e)
                     # Correction paremeters for normal measurements; they are independent of LDR
                     if (not RotationErrorEpsilonForNormalMeasurements):   # calibrator taken out
                         #IS1 = np.array([IinE,0,0,VinE])
                         #IS2 = np.array([0,QinE,-UinE,-2*VinE])
                         IS1 = np.array([IinFo,0,0,VinFo])
                         IS2 = np.array([0,QinFa,UinFa,VinFa])
                         GT = np.dot(ATF,IS1)
                         GR = np.dot(ARF,IS1)
                         HT = np.dot(ATF,IS2)
                         HR = np.dot(ARF,IS2)
                     else:
                         #IS1e = np.array([IinE,DiC*IinE,ZiC*SinC*VinE,ZiC*CosC*VinE])
                         #IS2e = np.array([DiC*QinEe,QinEe,-ZiC*(CosC*UinEe+2*SinC*VinE),ZiC*(SinC*UinEe-2*CosC*VinE)])
                         IS1e = np.array([IinFo+DiC*QinFoe,DiC*IinFo+QinFoe,ZiC*(CosC*UinFoe+SinC*VinFo),-ZiC*(SinC*UinFoe-CosC*VinFo)])
                         IS2e = np.array([IinFa+DiC*QinFae,DiC*IinFa+QinFae,ZiC*(CosC*UinFae+SinC*VinFa),-ZiC*(SinC*UinFae-CosC*VinFa)])
                         GT = np.dot(ATFe,IS1e)
                         GR = np.dot(ARFe,IS1e)
                         HT = np.dot(ATFe,IS2e)
                         HR = np.dot(ARFe,IS2e)
                 else:
                     print('Calibrator not implemented yet')
                     sys.exit()
             elif LocC == 2:  # C behind emitter optics Eq.57
                 #print("Calibrator location not implemented yet")
                 S2e = np.sin(np.deg2rad(2*RotC))
                 C2e = np.cos(np.deg2rad(2*RotC))
                 # AS with C before the receiver optics (see document rotated_diattenuator_X22x5deg.odt)
                 AF1 = np.array([1,C2g*DiO,S2g*DiO,0])
                 AF2 = np.array([C2g*DiO,1-S2g**2*WiO,S2g*C2g*WiO,-S2g*ZiO*SinO])
                 AF3 = np.array([S2g*DiO, S2g*C2g*WiO, 1-C2g**2*WiO, C2g*ZiO*SinO])
                 AF4 = np.array([0, S2g*SinO, -C2g*SinO, CosO])
                 ATF = (ATP1*AF1+ATP2*AF2+ATP3*AF3+ATP4*AF4)
                 ARF = (ARP1*AF1+ARP2*AF2+ARP3*AF3+ARP4*AF4)
                 ATF1 = ATF[0]
                 ATF2 = ATF[1]
                 ATF3 = ATF[2]
                 ATF4 = ATF[3]
                 ARF1 = ARF[0]
                 ARF2 = ARF[1]
                 ARF3 = ARF[2]
                 ARF4 = ARF[3]
                 # AS with C behind the emitter  --------------------------------------------
                 # terms without aCal
                 ATE1o, ARE1o = ATF1, ARF1
                 ATE2o, ARE2o = 0., 0.
                 ATE3o, ARE3o = 0., 0.
                 ATE4o, ARE4o = ATF4, ARF4
                 # terms with aCal
                 ATE1a, ARE1a = 0. , 0.
                 ATE2a, ARE2a = ATF2, ARF2
                 ATE3a, ARE3a = -ATF3, -ARF3
                 ATE4a, ARE4a = -2*ATF4, -2*ARF4
                 # rotated AinEa by epsilon
                 ATE2ae =  C2e*ATF2 + S2e*ATF3
                 ATE3ae = -S2e*ATF2 - C2e*ATF3
                 ARE2ae =  C2e*ARF2 + S2e*ARF3
                 ARE3ae = -S2e*ARF2 - C2e*ARF3
                 ATE1 = ATE1o
                 ATE2e = aCal*ATE2ae
                 ATE3e = aCal*ATE3ae
                 ATE4 = (1-2*aCal)*ATF4
                 ARE1 = ARE1o
                 ARE2e = aCal*ARE2ae
                 ARE3e = aCal*ARE3ae
                 ARE4 = (1-2*aCal)*ARF4
                 # rotated IinE
                 QinEe = C2e*QinE + S2e*UinE
                 UinEe = C2e*UinE - S2e*QinE
                 # --- Calibration signals and Calibration correction K from measurements with LDRCal / aCal
                 if (TypeC == 2) or (TypeC == 1):   #  +++++++++ rotator calibration Eq. C.4
                     AT = ATE1o*IinE + (ATE4o+aCal*ATE4a)*h*VinE
                     BT = aCal * (ATE3ae*QinEe - ATE2ae*h*UinEe)
                     AR = ARE1o*IinE + (ARE4o+aCal*ARE4a)*h*VinE
                     BR = aCal * (ARE3ae*QinEe - ARE2ae*h*UinEe)
                     # Correction paremeters for normal measurements; they are independent of LDR
                     if (not RotationErrorEpsilonForNormalMeasurements):
                         # Stokes Input Vector before receiver optics Eq. E.19 (after atmosphere F)
                         GT = ATE1o*IinE + ATE4o*h*VinE
                         GR = ARE1o*IinE + ARE4o*h*VinE
                         HT = ATE2a*QinE + ATE3a*h*UinEe + ATE4a*h*VinE
                         HR = ARE2a*QinE + ARE3a*h*UinEe + ARE4a*h*VinE
                     else:
                         GT = ATE1o*IinE + ATE4o*h*VinE
                         GR = ARE1o*IinE + ARE4o*h*VinE
                         HT = ATE2ae*QinE + ATE3ae*h*UinEe + ATE4a*h*VinE
                         HR = ARE2ae*QinE + ARE3ae*h*UinEe + ARE4a*h*VinE
                 elif (TypeC == 3) or (TypeC == 4):  # +++++++++ linear polariser calibration Eq. C.5
                     # p = +45°, m = -45°
                     AT = ATE1*IinE + ZiC*CosC*(ATE2e*QinEe + ATE4*VinE) + ATE3e*UinEe
                     BT = DiC*(ATE1*UinEe + ATE3e*IinE) + ZiC*SinC*(ATE4*QinEe - ATE2e*VinE)
                     AR = ARE1*IinE + ZiC*CosC*(ARE2e*QinEe + ARE4*VinE) + ARE3e*UinEe
                     BR = DiC*(ARE1*UinEe + ARE3e*IinE) + ZiC*SinC*(ARE4*QinEe - ARE2e*VinE)
                     # Correction paremeters for normal measurements; they are independent of LDR
                     if (not RotationErrorEpsilonForNormalMeasurements):
                         # Stokes Input Vector before receiver optics Eq. E.19 (after atmosphere F)
                         GT = ATE1o*IinE + ATE4o*VinE
                         GR = ARE1o*IinE + ARE4o*VinE
                         HT = ATE2a*QinE + ATE3a*UinE + ATE4a*VinE
                         HR = ARE2a*QinE + ARE3a*UinE + ARE4a*VinE
                     else:
                         D = IinE + DiC*QinEe
                         A = DiC*IinE + QinEe
                         B = ZiC*(CosC*UinEe + SinC*VinE)
                         C = -ZiC*(SinC*UinEe - CosC*VinE)
                         GT = ATE1o*D + ATE4o*C
                         GR = ARE1o*D + ARE4o*C
                         HT = ATE2a*A + ATE3a*B + ATE4a*C
                         HR = ARE2a*A + ARE3a*B + ARE4a*C
                 elif (TypeC == 6):  # real HWP calibration +-22.5° rotated_diattenuator_X22x5deg.odt
                     # p = +22.5°, m = -22.5°
                     IE1e = np.array([IinE+sqr05*DiC*QinEe, sqr05*DiC*IinE+(1-0.5*WiC)*QinEe, (1-0.5*WiC)*UinEe+sqr05*ZiC*SinC*VinE, -sqr05*ZiC*SinC*UinEe+ZiC*CosC*VinE])
                     IE2e = np.array([sqr05*DiC*UinEe, 0.5*WiC*UinEe-sqr05*ZiC*SinC*VinE, sqr05*DiC*IinE+0.5*WiC*QinEe, sqr05*ZiC*SinC*QinEe])
                     ATEe = np.array([ATE1,ATE2e,ATE3e,ATE4])
                     AREe = np.array([ARE1,ARE2e,ARE3e,ARE4])
                     AT = np.dot(ATEe,IE1e)
                     AR = np.dot(AREe,IE1e)
                     BT = np.dot(ATEe,IE2e)
                     BR = np.dot(AREe,IE2e)
                     # Correction paremeters for normal measurements; they are independent of LDR
                     if (not RotationErrorEpsilonForNormalMeasurements):   # calibrator taken out
                         GT = ATE1o*IinE + ATE4o*VinE
                         GR = ARE1o*IinE + ARE4o*VinE
                         HT = ATE2a*QinE + ATE3a*UinE + ATE4a*VinE
                         HR = ARE2a*QinE + ARE3a*UinE + ARE4a*VinE
                     else:
                         D = IinE + DiC*QinEe
                         A = DiC*IinE + QinEe
                         B = ZiC*(CosC*UinEe + SinC*VinE)
                         C = -ZiC*(SinC*UinEe - CosC*VinE)
                         GT = ATE1o*D + ATE4o*C
                         GR = ARE1o*D + ARE4o*C
                         HT = ATE2a*A + ATE3a*B + ATE4a*C
                         HR = ARE2a*A + ARE3a*B + ARE4a*C
                 else:
                     print('Calibrator not implemented yet')
                     sys.exit()
             # Calibration signals with aCal => Determination of the correction K of the real calibration factor
             IoutTp = TaT*TiT*TiO*TiE*(AT + BT)
             IoutTm = TaT*TiT*TiO*TiE*(AT - BT)
             IoutRp = TaR*TiR*TiO*TiE*(AR + BR)
             IoutRm = TaR*TiR*TiO*TiE*(AR - BR)
             # --- Results and Corrections; electronic etaR and etaT are assumed to be 1
             #Eta = TiR/TiT   # Eta = Eta*/K  Eq. 84
             Etapx = IoutRp/IoutTp
             Etamx = IoutRm/IoutTm
             Etax = (Etapx*Etamx)**0.5
             K = Etax / Eta0
             #print("{0:6.3f},{1:6.3f},{2:6.3f},{3:6.3f},{4:6.3f},{5:6.3f},{6:6.3f},{7:6.3f},{8:6.3f},{9:6.3f},{10:6.3f}".format(AT, BT, AR, BR, DiC, ZiC, RetO, TP, TS, Kp, Km))
             #print("{0:6.3f},{1:6.3f},{2:6.3f},{3:6.3f}".format(DiC, ZiC, Kp, Km))
             #  For comparison with Volkers Libreoffice Müller Matrix spreadsheet
             #Eta_test_p = (IoutRp/IoutTp)
             #Eta_test_m = (IoutRm/IoutTm)
             #Eta_test = (Eta_test_p*Eta_test_m)**0.5
             # *************************************************************************
             iLDR = -1
             for LDRTrue in LDRrange:
                 iLDR = iLDR + 1
                 atrue = (1-LDRTrue)/(1+LDRTrue)
                 # ----- Forward simulated signals and LDRsim with atrue; from input file
                 It = TaT*TiT*TiO*TiE*(GT+atrue*HT) #  TaT*TiT*TiC*TiO*IinL*(GT+atrue*HT)
                 Ir = TaR*TiR*TiO*TiE*(GR+atrue*HR) #  TaR*TiR*TiC*TiO*IinL*(GR+atrue*HR)
                 # LDRsim = 1/Eta*Ir/It  # simulated LDR* with Y from input file
                 LDRsim = Ir/It  # simulated uncorrected LDR with Y from input file
                 '''
                 if Y == 1.:
                     LDRsimx = LDRsim
                     LDRsimx2 = LDRsim2
                 else:
                     LDRsimx = 1./LDRsim
                     LDRsimx2 = 1./LDRsim2
                 '''
                 # ----- Backward correction
                 # Corrected LDRCorr from forward simulated LDRsim (atrue) with assumed true G0,H0,K0
                 LDRCorr = (LDRsim*K0/Etax*(GT0+HT0)-(GR0+HR0))/((GR0-HR0)-LDRsim*K0/Etax*(GT0-HT0))
                 # -- F11corr from It and Ir and calibration EtaX
                 Text1 = "F11corr from It and Ir with calibration EtaX: x-axis: F11corr(LDRtrue) / F11corr(LDRtrue = 0.004) - 1"
                 F11corr = 1/(TiO*TiE)*((HR0*Etax/K0*It/TTa-HT0*Ir/TRa)/(HR0*GT0-HT0*GR0))    # IL = 1  Eq.(64)
                 #Text1 = "F11corr from It and Ir without corrections but with calibration EtaX: x-axis: F11corr(LDRtrue) devided by F11corr(LDRtrue = 0.004)"
                 #F11corr = 0.5/(TiO*TiE)*(Etax*It/TTa+Ir/TRa)    # IL = 1  Eq.(64)
                 # -- It from It only with atrue without corrections - for BERTHA (and PollyXTs)
                 #Text1 = " x-axis: IT(LDRtrue) / IT(LDRtrue = 0.004) - 1"
                 #F11corr = It/(TaT*TiT*TiO*TiE)   #/(TaT*TiT*TiO*TiE*(GT0+atrue*HT0))
                 # !!! see below line 1673ff
                 aF11corr[iLDR,iN] = F11corr
                 aA[iLDR,iN] = LDRCorr
                 aX[0,iN] = GR
                 aX[1,iN] = GT
                 aX[2,iN] = HR
                 aX[3,iN] = HT
                 aX[4,iN] = K
                 aLDRCal[iN] = iLDRCal
                 aERaT[iN] = iERaT
                 aERaR[iN] = iERaR
                 aRotaT[iN] = iRotaT
                 aRotaR[iN] = iRotaR
                 aRetT[iN] = iRetT
                 aRetR[iN] = iRetR
                 aRotL[iN] = iRotL
                 aRotE[iN] = iRotE
                 aRetE[iN] = iRetE
                 aRotO[iN] = iRotO
                 aRetO[iN] = iRetO
                 aRotC[iN] = iRotC
                 aRetC[iN] = iRetC
                 aDiO[iN] = iDiO
                 aDiE[iN] = iDiE
                 aDiC[iN] = iDiC
                 aTP[iN] = iTP
                 aTS[iN] = iTS
                 aRP[iN] = iRP
                 aRS[iN] = iRS
 # --- END loop
 btime = clock()
 print("\r done in      ", "{0:5.0f}".format(btime-atime), "sec") #, end="\r")
 # --- Plot -----------------------------------------------------------------
 #sns.set_style("whitegrid")
 #sns.set_palette("bright", 6)
 '''
 fig2 = plt.figure()
 plt.plot(aA[2,:],'b.')
 plt.plot(aA[3,:],'r.')
 plt.plot(aA[4,:],'g.')
 #plt.plot(aA[6,:],'c.')
 plt.show
 '''
 # Plot LDR
 def PlotSubHist(aVar, aX, X0, daX, iaX, naX):
     fig, ax = plt.subplots(nrows=1, ncols=5, sharex=True, sharey=True, figsize=(25, 2))
     iLDR = -1
     for LDRTrue in LDRrange:
         iLDR = iLDR + 1
         LDRmin[iLDR] = np.min(aA[iLDR,:])
         LDRmax[iLDR] = np.max(aA[iLDR,:])
         Rmin = LDRmin[iLDR] * 0.995 #  np.min(aA[iLDR,:])    * 0.995
         Rmax = LDRmax[iLDR] * 1.005 #  np.max(aA[iLDR,:])    * 1.005
         #plt.subplot(5,2,iLDR+1)
         plt.subplot(1,5,iLDR+1)
         (n, bins, patches) = plt.hist(aA[iLDR,:],
                  bins=100, log=False,
                  range=[Rmin, Rmax],
                  alpha=0.5, normed=False, color = '0.5', histtype='stepfilled')
         for iaX in range(-naX,naX+1):
             plt.hist(aA[iLDR,aX == iaX],
                      range=[Rmin, Rmax],
                      bins=100, log=False, alpha=0.3, normed=False, histtype='stepfilled', label = str(round(X0 + iaX*daX/naX,5)))
             if (iLDR == 2): plt.legend()
         plt.tick_params(axis='both', labelsize=9)
         plt.plot([LDRTrue, LDRTrue], [0, np.max(n)], 'r-', lw=2)
     #plt.title(LID + '  ' + aVar, fontsize=18)
     #plt.ylabel('frequency', fontsize=10)
     #plt.xlabel('LDRcorr', fontsize=10)
     #fig.tight_layout()
     fig.suptitle(LID + '  ' + str(Type[TypeC]) + ' ' + str(Loc[LocC])  + ' - ' + aVar, fontsize=14, y=1.05)
     #plt.show()
     #fig.savefig(LID + '_' + aVar + '.png', dpi=150, bbox_inches='tight', pad_inches=0)
     #plt.close
     return
 if (nRotL > 0): PlotSubHist("RotL", aRotL, RotL0, dRotL, iRotL, nRotL)
 if (nRetE > 0): PlotSubHist("RetE", aRetE, RetE0, dRetE, iRetE, nRetE)
 if (nRotE > 0): PlotSubHist("RotE", aRotE, RotE0, dRotE, iRotE, nRotE)
 if (nDiE > 0): PlotSubHist("DiE", aDiE, DiE0, dDiE, iDiE, nDiE)
 if (nRetO > 0): PlotSubHist("RetO", aRetO, RetO0, dRetO, iRetO, nRetO)
 if (nRotO > 0): PlotSubHist("RotO", aRotO, RotO0, dRotO, iRotO, nRotO)
 if (nDiO > 0): PlotSubHist("DiO", aDiO, DiO0, dDiO, iDiO, nDiO)
 if (nDiC > 0): PlotSubHist("DiC", aDiC, DiC0, dDiC, iDiC, nDiC)
 if (nRotC > 0): PlotSubHist("RotC", aRotC, RotC0, dRotC, iRotC, nRotC)
 if (nRetC > 0): PlotSubHist("RetC", aRetC, RetC0, dRetC, iRetC, nRetC)
 if (nTP > 0): PlotSubHist("TP", aTP, TP0, dTP, iTP, nTP)
 if (nTS > 0): PlotSubHist("TS", aTS, TS0, dTS, iTS, nTS)
 if (nRP > 0): PlotSubHist("RP", aRP, RP0, dRP, iRP, nRP)
 if (nRS > 0): PlotSubHist("RS", aRS, RS0, dRS, iRS, nRS)
 if (nRetT > 0): PlotSubHist("RetT", aRetT, RetT0, dRetT, iRetT, nRetT)
 if (nRetR > 0): PlotSubHist("RetR", aRetR, RetR0, dRetR, iRetR, nRetR)
 if (nERaT > 0): PlotSubHist("ERaT", aERaT, ERaT0, dERaT, iERaT, nERaT)
 if (nERaR > 0): PlotSubHist("ERaR", aERaR, ERaR0, dERaR, iERaR, nERaR)
 if (nRotaT > 0): PlotSubHist("RotaT", aRotaT, RotaT0, dRotaT, iRotaT, nRotaT)
 if (nRotaR > 0): PlotSubHist("RotaR", aRotaR, RotaR0, dRotaR, iRotaR, nRotaR)
 if (nLDRCal > 0): PlotSubHist("LDRCal", aLDRCal, LDRCal0, dLDRCal, iLDRCal, nLDRCal)
 plt.show()
 plt.close
 print()
 #print("IT(LDRtrue) devided by IT(LDRtrue = 0.004)")
 print(Text1)
 print()
 iLDR = 5
 for LDRTrue in LDRrange:
     iLDR = iLDR - 1
     aF11corr[iLDR,:] = aF11corr[iLDR,:] / aF11corr[0,:] - 1.0
 # Plot F11
 def PlotSubHistF11(aVar, aX, X0, daX, iaX, naX):
     fig, ax = plt.subplots(nrows=1, ncols=5, sharex=True, sharey=True, figsize=(25, 2))
     iLDR = -1
     for LDRTrue in LDRrange:
         iLDR = iLDR + 1
         '''
         F11min[iLDR] = np.min(aF11corr[iLDR,:])
         F11max[iLDR] = np.max(aF11corr[iLDR,:])
         Rmin = F11min[iLDR] * 0.995 #  np.min(aA[iLDR,:])    * 0.995
         Rmax = F11max[iLDR] * 1.005 #  np.max(aA[iLDR,:])    * 1.005
         '''
         #Rmin = 0.8
         #Rmax = 1.2
         #plt.subplot(5,2,iLDR+1)
         plt.subplot(1,5,iLDR+1)
         (n, bins, patches) = plt.hist(aF11corr[iLDR,:],
                  bins=100, log=False,
                  alpha=0.5, normed=False, color = '0.5', histtype='stepfilled')
         for iaX in range(-naX,naX+1):
             plt.hist(aF11corr[iLDR,aX == iaX],
                      bins=100, log=False, alpha=0.3, normed=False, histtype='stepfilled', label = str(round(X0 + iaX*daX/naX,5)))
             if (iLDR == 2): plt.legend()
         plt.tick_params(axis='both', labelsize=9)
         #plt.plot([LDRTrue, LDRTrue], [0, np.max(n)], 'r-', lw=2)
     #plt.title(LID + '  ' + aVar, fontsize=18)
     #plt.ylabel('frequency', fontsize=10)
     #plt.xlabel('LDRcorr', fontsize=10)
     #fig.tight_layout()
     fig.suptitle(LID + '  ' + str(Type[TypeC]) + ' ' + str(Loc[LocC])  + ' - ' + aVar, fontsize=14, y=1.05)
     #plt.show()
     #fig.savefig(LID + '_' + aVar + '.png', dpi=150, bbox_inches='tight', pad_inches=0)
     #plt.close
     return
 if (nRotL > 0): PlotSubHistF11("RotL", aRotL, RotL0, dRotL, iRotL, nRotL)
 if (nRetE > 0): PlotSubHistF11("RetE", aRetE, RetE0, dRetE, iRetE, nRetE)
 if (nRotE > 0): PlotSubHistF11("RotE", aRotE, RotE0, dRotE, iRotE, nRotE)
 if (nDiE > 0): PlotSubHistF11("DiE", aDiE, DiE0, dDiE, iDiE, nDiE)
 if (nRetO > 0): PlotSubHistF11("RetO", aRetO, RetO0, dRetO, iRetO, nRetO)
 if (nRotO > 0): PlotSubHistF11("RotO", aRotO, RotO0, dRotO, iRotO, nRotO)
 if (nDiO > 0): PlotSubHistF11("DiO", aDiO, DiO0, dDiO, iDiO, nDiO)
 if (nDiC > 0): PlotSubHistF11("DiC", aDiC, DiC0, dDiC, iDiC, nDiC)
 if (nRotC > 0): PlotSubHistF11("RotC", aRotC, RotC0, dRotC, iRotC, nRotC)
 if (nRetC > 0): PlotSubHistF11("RetC", aRetC, RetC0, dRetC, iRetC, nRetC)
 if (nTP > 0): PlotSubHistF11("TP", aTP, TP0, dTP, iTP, nTP)
 if (nTS > 0): PlotSubHistF11("TS", aTS, TS0, dTS, iTS, nTS)
 if (nRP > 0): PlotSubHistF11("RP", aRP, RP0, dRP, iRP, nRP)
 if (nRS > 0): PlotSubHistF11("RS", aRS, RS0, dRS, iRS, nRS)
 if (nRetT > 0): PlotSubHistF11("RetT", aRetT, RetT0, dRetT, iRetT, nRetT)
 if (nRetR > 0): PlotSubHistF11("RetR", aRetR, RetR0, dRetR, iRetR, nRetR)
 if (nERaT > 0): PlotSubHistF11("ERaT", aERaT, ERaT0, dERaT, iERaT, nERaT)
 if (nERaR > 0): PlotSubHistF11("ERaR", aERaR, ERaR0, dERaR, iERaR, nERaR)
 if (nRotaT > 0): PlotSubHistF11("RotaT", aRotaT, RotaT0, dRotaT, iRotaT, nRotaT)
 if (nRotaR > 0): PlotSubHistF11("RotaR", aRotaR, RotaR0, dRotaR, iRotaR, nRotaR)
 if (nLDRCal > 0): PlotSubHistF11("LDRCal", aLDRCal, LDRCal0, dLDRCal, iLDRCal, nLDRCal)
 plt.show()
 plt.close
 '''
 # only histogram
 #print("******************* " + aVar + " *******************")
 fig, ax = plt.subplots(nrows=5, ncols=2, sharex=True, sharey=True, figsize=(10, 10))
 iLDR = -1
 for LDRTrue in LDRrange:
     iLDR = iLDR + 1
     LDRmin[iLDR] = np.min(aA[iLDR,:])
     LDRmax[iLDR] = np.max(aA[iLDR,:])
     Rmin = np.min(aA[iLDR,:])    * 0.999
     Rmax = np.max(aA[iLDR,:])    * 1.001
     plt.subplot(5,2,iLDR+1)
     (n, bins, patches) = plt.hist(aA[iLDR,:],
              range=[Rmin, Rmax],
              bins=200, log=False, alpha=0.2, normed=False, color = '0.5', histtype='stepfilled')
     plt.tick_params(axis='both', labelsize=9)
     plt.plot([LDRTrue, LDRTrue], [0, np.max(n)], 'r-', lw=2)
 plt.show()
 plt.close
 '''
 # --- Plot LDRmin, LDRmax
 fig2 = plt.figure()
 plt.plot(LDRrange,LDRmax-LDRrange, linewidth=2.0, color='b')
 plt.plot(LDRrange,LDRmin-LDRrange, linewidth=2.0, color='g')
 plt.xlabel('LDRtrue', fontsize=18)
 plt.ylabel('LDRTrue-LDRmin, LDRTrue-LDRmax', fontsize=14)
 plt.title(LID + ' ' + str(Type[TypeC]) + ' ' + str(Loc[LocC]), fontsize=18)
 #plt.ylimit(-0.07, 0.07)
 plt.show()
 plt.close
 # --- Save LDRmin, LDRmax to file
 # http://stackoverflow.com/questions/4675728/redirect-stdout-to-a-file-in-python
 with open('LDR_min_max_ver7_' + LID + '.dat', 'w') as f:
     with redirect_stdout(f):
         print(LID)
         print("LDRtrue, LDRmin, LDRmax")
         for i in range(len(LDRrange)):
             print("{0:7.4f},{1:7.4f},{2:7.4f}".format(LDRrange[i], LDRmin[i], LDRmax[i]))
 '''
 # --- Plot K over LDRCal
 fig3 = plt.figure()
 plt.plot(LDRCal0+aLDRCal*dLDRCal/nLDRCal,aX[4,:], linewidth=2.0, color='b')
 plt.xlabel('LDRCal', fontsize=18)
 plt.ylabel('K', fontsize=14)
 plt.title(LID, fontsize=18)
 plt.show()
 plt.close
 '''
 # Additional plot routines ======>
 '''
 #******************************************************************************
 # 1. Plot LDRcorrected - LDR(measured Icross/Iparallel)
 LDRa = np.arange(1.,100.)*0.005
 LDRCorra = np.arange(1.,100.)
 if Y == - 1.: LDRa = 1./LDRa
 LDRCorra = (1./Eta*LDRa*(GT+HT)-(GR+HR))/((GR-HR)-1./Eta*LDRa*(GT-HT))
 if Y == - 1.: LDRa = 1./LDRa
 #
 #fig = plt.figure()
 plt.plot(LDRa,LDRCorra-LDRa)
 plt.plot([0.,0.5],[0.,0.5])
 plt.suptitle('LDRcorrected - LDR(measured Icross/Iparallel)', fontsize=16)
 plt.xlabel('LDR', fontsize=18)
 plt.ylabel('LDRCorr - LDR', fontsize=16)
 #plt.savefig('test.png')
 #
 '''
 '''
 #******************************************************************************
 # 2. Plot LDRsim (simulated measurements without corrections = Icross/Iparallel) over LDRtrue
 LDRa = np.arange(1.,100.)*0.005
 LDRsima = np.arange(1.,100.)
 atruea = (1.-LDRa)/(1+LDRa)
 Ita = TiT*TiO*IinL*(GT+atruea*HT)
 Ira = TiR*TiO*IinL*(GR+atruea*HR)
 LDRsima = Ira/Ita  # simulated uncorrected LDR with Y from input file
 if Y == -1.: LDRsima = 1./LDRsima
 #
 #fig = plt.figure()
 plt.plot(LDRa,LDRsima)
 plt.plot([0.,0.5],[0.,0.5])
 plt.suptitle('LDRsim (simulated measurements without corrections = Icross/Iparallel) over LDRtrue', fontsize=10)
 plt.xlabel('LDRtrue', fontsize=18)
 plt.ylabel('LDRsim', fontsize=16)
 #plt.savefig('test.png')
 #
 '''

Mercurial > public > atmospheric_lidar_ghk / annotate

lidar_correction_ghk_pollyxt.py@5dffdb7caec9 (annotated)

lidar_correction_ghk_pollyxt.py