906 if(PrintToOutputFile): |
908 if(PrintToOutputFile): |
907 sys.stdout.flush() |
909 sys.stdout.flush() |
908 f.close |
910 f.close |
909 sys.stdout = old_target |
911 sys.stdout = old_target |
910 ''' |
912 ''' |
911 # --- CALC again truth with LDRCal0 to reset all 0-values |
913 if(Error_Calc): |
912 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) |
914 # --- CALC again truth with LDRCal0 to reset all 0-values |
913 |
915 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) |
914 # --- Start Errors calculation with variable parameters ------------------------------------------------------------------ |
916 |
915 |
917 # --- Start Errors calculation with variable parameters ------------------------------------------------------------------ |
916 iN = -1 |
918 |
917 N = ((nRotL*2+1)* |
919 iN = -1 |
918 (nRotE*2+1)*(nRetE*2+1)*(nDiE*2+1)* |
920 N = ((nRotL*2+1)* |
919 (nRotO*2+1)*(nRetO*2+1)*(nDiO*2+1)* |
921 (nRotE*2+1)*(nRetE*2+1)*(nDiE*2+1)* |
920 (nRotC*2+1)*(nRetC*2+1)*(nDiC*2+1)* |
922 (nRotO*2+1)*(nRetO*2+1)*(nDiO*2+1)* |
921 (nTP*2+1)*(nTS*2+1)*(nRP*2+1)*(nRS*2+1)*(nERaT*2+1)*(nERaR*2+1)* |
923 (nRotC*2+1)*(nRetC*2+1)*(nDiC*2+1)* |
922 (nRotaT*2+1)*(nRotaR*2+1)*(nRetT*2+1)*(nRetR*2+1)*(nLDRCal*2+1)) |
924 (nTP*2+1)*(nTS*2+1)*(nRP*2+1)*(nRS*2+1)*(nERaT*2+1)*(nERaR*2+1)* |
923 print("N = ",N ," ", end="") |
925 (nRotaT*2+1)*(nRotaR*2+1)*(nRetT*2+1)*(nRetR*2+1)*(nLDRCal*2+1)) |
924 |
926 print("N = ",N ," ", end="") |
925 if N > 1e6: |
927 |
926 if user_yes_no_query('Warning: processing ' + str(N) + ' samples will take very long. Do you want to proceed?') == 0: sys.exit() |
928 if N > 1e6: |
927 if N > 5e6: |
929 if user_yes_no_query('Warning: processing ' + str(N) + ' samples will take very long. Do you want to proceed?') == 0: sys.exit() |
928 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() |
930 if N > 5e6: |
929 |
931 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() |
930 #if user_yes_no_query('Warning: processing' + str(N) + ' samples will take very long. Do you want to proceed?') == 0: sys.exit() |
932 |
931 |
933 #if user_yes_no_query('Warning: processing' + str(N) + ' samples will take very long. Do you want to proceed?') == 0: sys.exit() |
932 # --- Arrays for plotting ------ |
934 |
933 LDRmin = np.zeros(5) |
935 # --- Arrays for plotting ------ |
934 LDRmax = np.zeros(5) |
936 LDRmin = np.zeros(5) |
935 F11min = np.zeros(5) |
937 LDRmax = np.zeros(5) |
936 F11max = np.zeros(5) |
938 F11min = np.zeros(5) |
937 |
939 F11max = np.zeros(5) |
938 LDRrange = np.zeros(5) |
940 |
939 LDRrange = 0.004, 0.02, 0.1, 0.3, 0.45 |
941 LDRrange = np.zeros(5) |
940 #aLDRsimx = np.zeros(N) |
942 LDRrange = 0.004, 0.02, 0.1, 0.3, 0.45 |
941 #aLDRsimx2 = np.zeros(N) |
943 #aLDRsimx = np.zeros(N) |
942 #aLDRcorr = np.zeros(N) |
944 #aLDRsimx2 = np.zeros(N) |
943 #aLDRcorr2 = np.zeros(N) |
945 #aLDRcorr = np.zeros(N) |
944 aERaT = np.zeros(N) |
946 #aLDRcorr2 = np.zeros(N) |
945 aERaR = np.zeros(N) |
947 aERaT = np.zeros(N) |
946 aRotaT = np.zeros(N) |
948 aERaR = np.zeros(N) |
947 aRotaR = np.zeros(N) |
949 aRotaT = np.zeros(N) |
948 aRetT = np.zeros(N) |
950 aRotaR = np.zeros(N) |
949 aRetR = np.zeros(N) |
951 aRetT = np.zeros(N) |
950 aTP = np.zeros(N) |
952 aRetR = np.zeros(N) |
951 aTS = np.zeros(N) |
953 aTP = np.zeros(N) |
952 aRP = np.zeros(N) |
954 aTS = np.zeros(N) |
953 aRS = np.zeros(N) |
955 aRP = np.zeros(N) |
954 aDiE = np.zeros(N) |
956 aRS = np.zeros(N) |
955 aDiO = np.zeros(N) |
957 aDiE = np.zeros(N) |
956 aDiC = np.zeros(N) |
958 aDiO = np.zeros(N) |
957 aRotC = np.zeros(N) |
959 aDiC = np.zeros(N) |
958 aRetC = np.zeros(N) |
960 aRotC = np.zeros(N) |
959 aRotL = np.zeros(N) |
961 aRetC = np.zeros(N) |
960 aRetE = np.zeros(N) |
962 aRotL = np.zeros(N) |
961 aRotE = np.zeros(N) |
963 aRetE = np.zeros(N) |
962 aRetO = np.zeros(N) |
964 aRotE = np.zeros(N) |
963 aRotO = np.zeros(N) |
965 aRetO = np.zeros(N) |
964 aLDRCal = np.zeros(N) |
966 aRotO = np.zeros(N) |
965 aA = np.zeros((5,N)) |
967 aLDRCal = np.zeros(N) |
966 aX = np.zeros((5,N)) |
968 aA = np.zeros((5,N)) |
967 aF11corr = np.zeros((5,N)) |
969 aX = np.zeros((5,N)) |
968 |
970 aF11corr = np.zeros((5,N)) |
969 atime = clock() |
971 |
970 dtime = clock() |
972 atime = clock() |
971 |
973 dtime = clock() |
972 # --- Calc Error signals |
974 |
973 #GT, HT, GR, HR, K, Eta, LDRsim = Calc(RotL, RotE, RetE, DiE, RotO, RetO, DiO, RotC, RetC, DiC, TP, TS) |
975 # --- Calc Error signals |
974 # ---- Do the calculations of bra-ket vectors |
976 #GT, HT, GR, HR, K, Eta, LDRsim = Calc(RotL, RotE, RetE, DiE, RotO, RetO, DiO, RotC, RetC, DiC, TP, TS) |
975 h = -1. if TypeC == 2 else 1 |
977 # ---- Do the calculations of bra-ket vectors |
976 |
978 h = -1. if TypeC == 2 else 1 |
977 # from input file: measured LDRm and true LDRtrue, LDRtrue2 => |
979 |
978 ameas = (1.-LDRmeas)/(1+LDRmeas) |
980 # from input file: measured LDRm and true LDRtrue, LDRtrue2 => |
979 atrue = (1.-LDRtrue)/(1+LDRtrue) |
981 ameas = (1.-LDRmeas)/(1+LDRmeas) |
980 atrue2 = (1.-LDRtrue2)/(1+LDRtrue2) |
982 atrue = (1.-LDRtrue)/(1+LDRtrue) |
981 |
983 atrue2 = (1.-LDRtrue2)/(1+LDRtrue2) |
982 for iLDRCal in range(-nLDRCal,nLDRCal+1): |
984 |
983 # from input file: assumed LDRCal for calibration measurements |
985 for iLDRCal in range(-nLDRCal,nLDRCal+1): |
984 LDRCal = LDRCal0 |
986 # from input file: assumed LDRCal for calibration measurements |
985 if nLDRCal > 0: LDRCal = LDRCal0 + iLDRCal*dLDRCal/nLDRCal |
987 LDRCal = LDRCal0 |
986 |
988 if nLDRCal > 0: LDRCal = LDRCal0 + iLDRCal*dLDRCal/nLDRCal |
987 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) |
989 |
988 aCal = (1.-LDRCal)/(1+LDRCal) |
990 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) |
989 for iRotL, iRotE, iRetE, iDiE \ |
991 aCal = (1.-LDRCal)/(1+LDRCal) |
990 in [(iRotL,iRotE,iRetE,iDiE) |
992 for iRotL, iRotE, iRetE, iDiE \ |
991 for iRotL in range(-nRotL,nRotL+1) |
993 in [(iRotL,iRotE,iRetE,iDiE) |
992 for iRotE in range(-nRotE,nRotE+1) |
994 for iRotL in range(-nRotL,nRotL+1) |
993 for iRetE in range(-nRetE,nRetE+1) |
995 for iRotE in range(-nRotE,nRotE+1) |
994 for iDiE in range(-nDiE,nDiE+1)]: |
996 for iRetE in range(-nRetE,nRetE+1) |
995 |
997 for iDiE in range(-nDiE,nDiE+1)]: |
996 if nRotL > 0: RotL = RotL0 + iRotL*dRotL/nRotL |
998 |
997 if nRotE > 0: RotE = RotE0 + iRotE*dRotE/nRotE |
999 if nRotL > 0: RotL = RotL0 + iRotL*dRotL/nRotL |
998 if nRetE > 0: RetE = RetE0 + iRetE*dRetE/nRetE |
1000 if nRotE > 0: RotE = RotE0 + iRotE*dRotE/nRotE |
999 if nDiE > 0: DiE = DiE0 + iDiE*dDiE/nDiE |
1001 if nRetE > 0: RetE = RetE0 + iRetE*dRetE/nRetE |
1000 |
1002 if nDiE > 0: DiE = DiE0 + iDiE*dDiE/nDiE |
1001 # angles of emitter and laser and calibrator and receiver optics |
1003 |
1002 # RotL = alpha, RotE = beta, RotO = gamma, RotC = epsilon |
1004 # angles of emitter and laser and calibrator and receiver optics |
1003 S2a = np.sin(2*np.deg2rad(RotL)) |
1005 # RotL = alpha, RotE = beta, RotO = gamma, RotC = epsilon |
1004 C2a = np.cos(2*np.deg2rad(RotL)) |
1006 S2a = np.sin(2*np.deg2rad(RotL)) |
1005 S2b = np.sin(2*np.deg2rad(RotE)) |
1007 C2a = np.cos(2*np.deg2rad(RotL)) |
1006 C2b = np.cos(2*np.deg2rad(RotE)) |
1008 S2b = np.sin(2*np.deg2rad(RotE)) |
1007 S2ab = np.sin(np.deg2rad(2*RotL-2*RotE)) |
1009 C2b = np.cos(2*np.deg2rad(RotE)) |
1008 C2ab = np.cos(np.deg2rad(2*RotL-2*RotE)) |
1010 S2ab = np.sin(np.deg2rad(2*RotL-2*RotE)) |
1009 |
1011 C2ab = np.cos(np.deg2rad(2*RotL-2*RotE)) |
1010 # Laser with Degree of linear polarization DOLP = bL |
1012 |
1011 IinL = 1. |
1013 # Laser with Degree of linear polarization DOLP = bL |
1012 QinL = bL |
1014 IinL = 1. |
1013 UinL = 0. |
1015 QinL = bL |
1014 VinL = (1. - bL**2)**0.5 |
1016 UinL = 0. |
1015 |
1017 VinL = (1. - bL**2)**0.5 |
1016 # Stokes Input Vector rotation Eq. E.4 |
1018 |
1017 A = C2a*QinL - S2a*UinL |
1019 # Stokes Input Vector rotation Eq. E.4 |
1018 B = S2a*QinL + C2a*UinL |
1020 A = C2a*QinL - S2a*UinL |
1019 # Stokes Input Vector rotation Eq. E.9 |
1021 B = S2a*QinL + C2a*UinL |
1020 C = C2ab*QinL - S2ab*UinL |
1022 # Stokes Input Vector rotation Eq. E.9 |
1021 D = S2ab*QinL + C2ab*UinL |
1023 C = C2ab*QinL - S2ab*UinL |
1022 |
1024 D = S2ab*QinL + C2ab*UinL |
1023 # emitter optics |
1025 |
1024 CosE = np.cos(np.deg2rad(RetE)) |
1026 # emitter optics |
1025 SinE = np.sin(np.deg2rad(RetE)) |
1027 CosE = np.cos(np.deg2rad(RetE)) |
1026 ZiE = (1. - DiE**2)**0.5 |
1028 SinE = np.sin(np.deg2rad(RetE)) |
1027 WiE = (1. - ZiE*CosE) |
1029 ZiE = (1. - DiE**2)**0.5 |
1028 |
1030 WiE = (1. - ZiE*CosE) |
1029 # Stokes Input Vector after emitter optics equivalent to Eq. E.9 with already rotated input vector from Eq. E.4 |
1031 |
1030 # b = beta |
1032 # Stokes Input Vector after emitter optics equivalent to Eq. E.9 with already rotated input vector from Eq. E.4 |
1031 IinE = (IinL + DiE*C) |
1033 # b = beta |
1032 QinE = (C2b*DiE*IinL + A + S2b*(WiE*D - ZiE*SinE*VinL)) |
1034 IinE = (IinL + DiE*C) |
1033 UinE = (S2b*DiE*IinL + B - C2b*(WiE*D - ZiE*SinE*VinL)) |
1035 QinE = (C2b*DiE*IinL + A + S2b*(WiE*D - ZiE*SinE*VinL)) |
1034 VinE = (-ZiE*SinE*D + ZiE*CosE*VinL) |
1036 UinE = (S2b*DiE*IinL + B - C2b*(WiE*D - ZiE*SinE*VinL)) |
1035 |
1037 VinE = (-ZiE*SinE*D + ZiE*CosE*VinL) |
1036 #------------------------- |
1038 |
1037 # F11 assuemd to be = 1 => measured: F11m = IinP / IinE with atrue |
1039 #------------------------- |
1038 #F11sim = (IinE + DiO*atrue*(C2g*QinE - S2g*UinE))/IinE |
1040 # F11 assuemd to be = 1 => measured: F11m = IinP / IinE with atrue |
1039 #------------------------- |
1041 #F11sim = (IinE + DiO*atrue*(C2g*QinE - S2g*UinE))/IinE |
1040 |
1042 #------------------------- |
1041 for iRotO, iRetO, iDiO, iRotC, iRetC, iDiC, iTP, iTS, iRP, iRS, iERaT, iRotaT, iRetT, iERaR, iRotaR, iRetR \ |
1043 |
1042 in [(iRotO,iRetO,iDiO,iRotC,iRetC,iDiC,iTP,iTS,iRP,iRS,iERaT,iRotaT,iRetT,iERaR,iRotaR,iRetR ) |
1044 for iRotO, iRetO, iDiO, iRotC, iRetC, iDiC, iTP, iTS, iRP, iRS, iERaT, iRotaT, iRetT, iERaR, iRotaR, iRetR \ |
1043 for iRotO in range(-nRotO,nRotO+1) |
1045 in [(iRotO,iRetO,iDiO,iRotC,iRetC,iDiC,iTP,iTS,iRP,iRS,iERaT,iRotaT,iRetT,iERaR,iRotaR,iRetR ) |
1044 for iRetO in range(-nRetO,nRetO+1) |
1046 for iRotO in range(-nRotO,nRotO+1) |
1045 for iDiO in range(-nDiO,nDiO+1) |
1047 for iRetO in range(-nRetO,nRetO+1) |
1046 for iRotC in range(-nRotC,nRotC+1) |
1048 for iDiO in range(-nDiO,nDiO+1) |
1047 for iRetC in range(-nRetC,nRetC+1) |
1049 for iRotC in range(-nRotC,nRotC+1) |
1048 for iDiC in range(-nDiC,nDiC+1) |
1050 for iRetC in range(-nRetC,nRetC+1) |
1049 for iTP in range(-nTP,nTP+1) |
1051 for iDiC in range(-nDiC,nDiC+1) |
1050 for iTS in range(-nTS,nTS+1) |
1052 for iTP in range(-nTP,nTP+1) |
1051 for iRP in range(-nRP,nRP+1) |
1053 for iTS in range(-nTS,nTS+1) |
1052 for iRS in range(-nRS,nRS+1) |
1054 for iRP in range(-nRP,nRP+1) |
1053 for iERaT in range(-nERaT,nERaT+1) |
1055 for iRS in range(-nRS,nRS+1) |
1054 for iRotaT in range(-nRotaT,nRotaT+1) |
1056 for iERaT in range(-nERaT,nERaT+1) |
1055 for iRetT in range(-nRetT,nRetT+1) |
1057 for iRotaT in range(-nRotaT,nRotaT+1) |
1056 for iERaR in range(-nERaR,nERaR+1) |
1058 for iRetT in range(-nRetT,nRetT+1) |
1057 for iRotaR in range(-nRotaR,nRotaR+1) |
1059 for iERaR in range(-nERaR,nERaR+1) |
1058 for iRetR in range(-nRetR,nRetR+1)]: |
1060 for iRotaR in range(-nRotaR,nRotaR+1) |
1059 |
1061 for iRetR in range(-nRetR,nRetR+1)]: |
1060 iN = iN + 1 |
1062 |
1061 if (iN == 10001): |
1063 iN = iN + 1 |
|
1064 if (iN == 10001): |
|
1065 ctime = clock() |
|
1066 print(" estimated time ", "{0:4.2f}".format(N/10000 * (ctime-atime)), "sec ") #, end="") |
|
1067 print("\r elapsed time ", "{0:5.0f}".format((ctime-atime)), "sec ", end="\r") |
1062 ctime = clock() |
1068 ctime = clock() |
1063 print(" estimated time ", "{0:4.2f}".format(N/10000 * (ctime-atime)), "sec ") #, end="") |
1069 if ((ctime - dtime) > 10): |
1064 print("\r elapsed time ", "{0:5.0f}".format((ctime-atime)), "sec ", end="\r") |
1070 print("\r elapsed time ", "{0:5.0f}".format((ctime-atime)), "sec ", end="\r") |
1065 ctime = clock() |
1071 dtime = ctime |
1066 if ((ctime - dtime) > 10): |
1072 |
1067 print("\r elapsed time ", "{0:5.0f}".format((ctime-atime)), "sec ", end="\r") |
1073 if nRotO > 0: RotO = RotO0 + iRotO*dRotO/nRotO |
1068 dtime = ctime |
1074 if nRetO > 0: RetO = RetO0 + iRetO*dRetO/nRetO |
1069 |
1075 if nDiO > 0: DiO = DiO0 + iDiO*dDiO/nDiO |
1070 if nRotO > 0: RotO = RotO0 + iRotO*dRotO/nRotO |
1076 if nRotC > 0: RotC = RotC0 + iRotC*dRotC/nRotC |
1071 if nRetO > 0: RetO = RetO0 + iRetO*dRetO/nRetO |
1077 if nRetC > 0: RetC = RetC0 + iRetC*dRetC/nRetC |
1072 if nDiO > 0: DiO = DiO0 + iDiO*dDiO/nDiO |
1078 if nDiC > 0: DiC = DiC0 + iDiC*dDiC/nDiC |
1073 if nRotC > 0: RotC = RotC0 + iRotC*dRotC/nRotC |
1079 if nTP > 0: TP = TP0 + iTP*dTP/nTP |
1074 if nRetC > 0: RetC = RetC0 + iRetC*dRetC/nRetC |
1080 if nTS > 0: TS = TS0 + iTS*dTS/nTS |
1075 if nDiC > 0: DiC = DiC0 + iDiC*dDiC/nDiC |
1081 if nRP > 0: RP = RP0 + iRP*dRP/nRP |
1076 if nTP > 0: TP = TP0 + iTP*dTP/nTP |
1082 if nRS > 0: RS = RS0 + iRS*dRS/nRS |
1077 if nTS > 0: TS = TS0 + iTS*dTS/nTS |
1083 if nERaT > 0: ERaT = ERaT0 + iERaT*dERaT/nERaT |
1078 if nRP > 0: RP = RP0 + iRP*dRP/nRP |
1084 if nRotaT > 0:RotaT= RotaT0+ iRotaT*dRotaT/nRotaT |
1079 if nRS > 0: RS = RS0 + iRS*dRS/nRS |
1085 if nRetT > 0: RetT = RetT0 + iRetT*dRetT/nRetT |
1080 if nERaT > 0: ERaT = ERaT0 + iERaT*dERaT/nERaT |
1086 if nERaR > 0: ERaR = ERaR0 + iERaR*dERaR/nERaR |
1081 if nRotaT > 0:RotaT= RotaT0+ iRotaT*dRotaT/nRotaT |
1087 if nRotaR > 0:RotaR= RotaR0+ iRotaR*dRotaR/nRotaR |
1082 if nRetT > 0: RetT = RetT0 + iRetT*dRetT/nRetT |
1088 if nRetR > 0: RetR = RetR0 + iRetR*dRetR/nRetR |
1083 if nERaR > 0: ERaR = ERaR0 + iERaR*dERaR/nERaR |
1089 |
1084 if nRotaR > 0:RotaR= RotaR0+ iRotaR*dRotaR/nRotaR |
1090 #print("{0:5.2f}, {1:5.2f}, {2:5.2f}, {3:10d}".format(RotL, RotE, RotO, iN)) |
1085 if nRetR > 0: RetR = RetR0 + iRetR*dRetR/nRetR |
1091 |
1086 |
1092 # receiver optics |
1087 #print("{0:5.2f}, {1:5.2f}, {2:5.2f}, {3:10d}".format(RotL, RotE, RotO, iN)) |
1093 CosO = np.cos(np.deg2rad(RetO)) |
1088 |
1094 SinO = np.sin(np.deg2rad(RetO)) |
1089 # receiver optics |
1095 ZiO = (1. - DiO**2)**0.5 |
1090 CosO = np.cos(np.deg2rad(RetO)) |
1096 WiO = (1. - ZiO*CosO) |
1091 SinO = np.sin(np.deg2rad(RetO)) |
1097 S2g = np.sin(np.deg2rad(2*RotO)) |
1092 ZiO = (1. - DiO**2)**0.5 |
1098 C2g = np.cos(np.deg2rad(2*RotO)) |
1093 WiO = (1. - ZiO*CosO) |
1099 # calibrator |
1094 S2g = np.sin(np.deg2rad(2*RotO)) |
1100 CosC = np.cos(np.deg2rad(RetC)) |
1095 C2g = np.cos(np.deg2rad(2*RotO)) |
1101 SinC = np.sin(np.deg2rad(RetC)) |
1096 # calibrator |
1102 ZiC = (1. - DiC**2)**0.5 |
1097 CosC = np.cos(np.deg2rad(RetC)) |
1103 WiC = (1. - ZiC*CosC) |
1098 SinC = np.sin(np.deg2rad(RetC)) |
1104 |
1099 ZiC = (1. - DiC**2)**0.5 |
1105 # analyser |
1100 WiC = (1. - ZiC*CosC) |
1106 #For POLLY_XTs |
1101 |
1107 if(RS_RP_depend_on_TS_TP): |
1102 # analyser |
1108 RS = 1 - TS |
1103 #For POLLY_XTs |
1109 RP = 1 - TP |
1104 if(RS_RP_depend_on_TS_TP): |
1110 TiT = 0.5 * (TP + TS) |
1105 RS = 1 - TS |
1111 DiT = (TP-TS)/(TP+TS) |
1106 RP = 1 - TP |
1112 ZiT = (1. - DiT**2)**0.5 |
1107 TiT = 0.5 * (TP + TS) |
1113 TiR = 0.5 * (RP + RS) |
1108 DiT = (TP-TS)/(TP+TS) |
1114 DiR = (RP-RS)/(RP+RS) |
1109 ZiT = (1. - DiT**2)**0.5 |
1115 ZiR = (1. - DiR**2)**0.5 |
1110 TiR = 0.5 * (RP + RS) |
1116 CosT = np.cos(np.deg2rad(RetT)) |
1111 DiR = (RP-RS)/(RP+RS) |
1117 SinT = np.sin(np.deg2rad(RetT)) |
1112 ZiR = (1. - DiR**2)**0.5 |
1118 CosR = np.cos(np.deg2rad(RetR)) |
1113 CosT = np.cos(np.deg2rad(RetT)) |
1119 SinR = np.sin(np.deg2rad(RetR)) |
1114 SinT = np.sin(np.deg2rad(RetT)) |
1120 |
1115 CosR = np.cos(np.deg2rad(RetR)) |
1121 DaT = (1-ERaT)/(1+ERaT) |
1116 SinR = np.sin(np.deg2rad(RetR)) |
1122 DaR = (1-ERaR)/(1+ERaR) |
1117 |
1123 TaT = 0.5*(1+ERaT) |
1118 DaT = (1-ERaT)/(1+ERaT) |
1124 TaR = 0.5*(1+ERaR) |
1119 DaR = (1-ERaR)/(1+ERaR) |
1125 |
1120 TaT = 0.5*(1+ERaT) |
1126 S2aT = np.sin(np.deg2rad(h*2*RotaT)) |
1121 TaR = 0.5*(1+ERaR) |
1127 C2aT = np.cos(np.deg2rad(2*RotaT)) |
1122 |
1128 S2aR = np.sin(np.deg2rad(h*2*RotaR)) |
1123 S2aT = np.sin(np.deg2rad(h*2*RotaT)) |
1129 C2aR = np.cos(np.deg2rad(2*RotaR)) |
1124 C2aT = np.cos(np.deg2rad(2*RotaT)) |
1130 |
1125 S2aR = np.sin(np.deg2rad(h*2*RotaR)) |
1131 # Aanalyzer As before the PBS Eq. D.5 |
1126 C2aR = np.cos(np.deg2rad(2*RotaR)) |
1132 ATP1 = (1+C2aT*DaT*DiT) |
1127 |
1133 ATP2 = Y*(DiT+C2aT*DaT) |
1128 # Aanalyzer As before the PBS Eq. D.5 |
1134 ATP3 = Y*S2aT*DaT*ZiT*CosT |
1129 ATP1 = (1+C2aT*DaT*DiT) |
1135 ATP4 = S2aT*DaT*ZiT*SinT |
1130 ATP2 = Y*(DiT+C2aT*DaT) |
1136 ATP = np.array([ATP1,ATP2,ATP3,ATP4]) |
1131 ATP3 = Y*S2aT*DaT*ZiT*CosT |
1137 |
1132 ATP4 = S2aT*DaT*ZiT*SinT |
1138 ARP1 = (1+C2aR*DaR*DiR) |
1133 ATP = np.array([ATP1,ATP2,ATP3,ATP4]) |
1139 ARP2 = Y*(DiR+C2aR*DaR) |
1134 |
1140 ARP3 = Y*S2aR*DaR*ZiR*CosR |
1135 ARP1 = (1+C2aR*DaR*DiR) |
1141 ARP4 = S2aR*DaR*ZiR*SinR |
1136 ARP2 = Y*(DiR+C2aR*DaR) |
1142 ARP = np.array([ARP1,ARP2,ARP3,ARP4]) |
1137 ARP3 = Y*S2aR*DaR*ZiR*CosR |
1143 |
1138 ARP4 = S2aR*DaR*ZiR*SinR |
1144 TTa = TiT*TaT #*ATP1 |
1139 ARP = np.array([ARP1,ARP2,ARP3,ARP4]) |
1145 TRa = TiR*TaR #*ARP1 |
1140 |
1146 |
1141 TTa = TiT*TaT #*ATP1 |
1147 # ---- Calculate signals and correction parameters for diffeent locations and calibrators |
1142 TRa = TiR*TaR #*ARP1 |
1148 if LocC == 4: # Calibrator before the PBS |
1143 |
1149 #print("Calibrator location not implemented yet") |
1144 # ---- Calculate signals and correction parameters for diffeent locations and calibrators |
1150 |
1145 if LocC == 4: # Calibrator before the PBS |
1151 #S2ge = np.sin(np.deg2rad(2*RotO + h*2*RotC)) |
1146 #print("Calibrator location not implemented yet") |
1152 #C2ge = np.cos(np.deg2rad(2*RotO + h*2*RotC)) |
1147 |
1153 S2e = np.sin(np.deg2rad(h*2*RotC)) |
1148 #S2ge = np.sin(np.deg2rad(2*RotO + h*2*RotC)) |
1154 C2e = np.cos(np.deg2rad(2*RotC)) |
1149 #C2ge = np.cos(np.deg2rad(2*RotO + h*2*RotC)) |
1155 # rotated AinP by epsilon Eq. C.3 |
1150 S2e = np.sin(np.deg2rad(h*2*RotC)) |
1156 ATP2e = C2e*ATP2 + S2e*ATP3 |
1151 C2e = np.cos(np.deg2rad(2*RotC)) |
1157 ATP3e = C2e*ATP3 - S2e*ATP2 |
1152 # rotated AinP by epsilon Eq. C.3 |
1158 ARP2e = C2e*ARP2 + S2e*ARP3 |
1153 ATP2e = C2e*ATP2 + S2e*ATP3 |
1159 ARP3e = C2e*ARP3 - S2e*ARP2 |
1154 ATP3e = C2e*ATP3 - S2e*ATP2 |
1160 ATPe = np.array([ATP1,ATP2e,ATP3e,ATP4]) |
1155 ARP2e = C2e*ARP2 + S2e*ARP3 |
1161 ARPe = np.array([ARP1,ARP2e,ARP3e,ARP4]) |
1156 ARP3e = C2e*ARP3 - S2e*ARP2 |
1162 # Stokes Input Vector before the polarising beam splitter Eq. E.31 |
1157 ATPe = np.array([ATP1,ATP2e,ATP3e,ATP4]) |
1163 A = C2g*QinE - S2g*UinE |
1158 ARPe = np.array([ARP1,ARP2e,ARP3e,ARP4]) |
1164 B = S2g*QinE + C2g*UinE |
1159 # Stokes Input Vector before the polarising beam splitter Eq. E.31 |
1165 #C = (WiO*aCal*B + ZiO*SinO*(1-2*aCal)*VinE) |
1160 A = C2g*QinE - S2g*UinE |
1166 Co = ZiO*SinO*VinE |
1161 B = S2g*QinE + C2g*UinE |
1167 Ca = (WiO*B - 2*ZiO*SinO*VinE) |
1162 #C = (WiO*aCal*B + ZiO*SinO*(1-2*aCal)*VinE) |
1168 #C = Co + aCal*Ca |
1163 Co = ZiO*SinO*VinE |
1169 #IinP = (IinE + DiO*aCal*A) |
1164 Ca = (WiO*B - 2*ZiO*SinO*VinE) |
1170 #QinP = (C2g*DiO*IinE + aCal*QinE - S2g*C) |
1165 #C = Co + aCal*Ca |
1171 #UinP = (S2g*DiO*IinE - aCal*UinE + C2g*C) |
1166 #IinP = (IinE + DiO*aCal*A) |
1172 #VinP = (ZiO*SinO*aCal*B + ZiO*CosO*(1-2*aCal)*VinE) |
1167 #QinP = (C2g*DiO*IinE + aCal*QinE - S2g*C) |
1173 IinPo = IinE |
1168 #UinP = (S2g*DiO*IinE - aCal*UinE + C2g*C) |
1174 QinPo = (C2g*DiO*IinE - S2g*Co) |
1169 #VinP = (ZiO*SinO*aCal*B + ZiO*CosO*(1-2*aCal)*VinE) |
1175 UinPo = (S2g*DiO*IinE + C2g*Co) |
1170 IinPo = IinE |
1176 VinPo = ZiO*CosO*VinE |
1171 QinPo = (C2g*DiO*IinE - S2g*Co) |
1177 |
1172 UinPo = (S2g*DiO*IinE + C2g*Co) |
1178 IinPa = DiO*A |
1173 VinPo = ZiO*CosO*VinE |
1179 QinPa = QinE - S2g*Ca |
1174 |
1180 UinPa = -UinE + C2g*Ca |
1175 IinPa = DiO*A |
1181 VinPa = ZiO*(SinO*B - 2*CosO*VinE) |
1176 QinPa = QinE - S2g*Ca |
1182 |
1177 UinPa = -UinE + C2g*Ca |
1183 IinP = IinPo + aCal*IinPa |
1178 VinPa = ZiO*(SinO*B - 2*CosO*VinE) |
1184 QinP = QinPo + aCal*QinPa |
1179 |
1185 UinP = UinPo + aCal*UinPa |
1180 IinP = IinPo + aCal*IinPa |
1186 VinP = VinPo + aCal*VinPa |
1181 QinP = QinPo + aCal*QinPa |
1187 # Stokes Input Vector before the polarising beam splitter rotated by epsilon Eq. C.3 |
1182 UinP = UinPo + aCal*UinPa |
1188 #QinPe = C2e*QinP + S2e*UinP |
1183 VinP = VinPo + aCal*VinPa |
1189 #UinPe = C2e*UinP - S2e*QinP |
1184 # Stokes Input Vector before the polarising beam splitter rotated by epsilon Eq. C.3 |
1190 QinPoe = C2e*QinPo + S2e*UinPo |
1185 #QinPe = C2e*QinP + S2e*UinP |
1191 UinPoe = C2e*UinPo - S2e*QinPo |
1186 #UinPe = C2e*UinP - S2e*QinP |
1192 QinPae = C2e*QinPa + S2e*UinPa |
1187 QinPoe = C2e*QinPo + S2e*UinPo |
1193 UinPae = C2e*UinPa - S2e*QinPa |
1188 UinPoe = C2e*UinPo - S2e*QinPo |
1194 QinPe = C2e*QinP + S2e*UinP |
1189 QinPae = C2e*QinPa + S2e*UinPa |
1195 UinPe = C2e*UinP - S2e*QinP |
1190 UinPae = C2e*UinPa - S2e*QinPa |
1196 |
1191 QinPe = C2e*QinP + S2e*UinP |
1197 # Calibration signals and Calibration correction K from measurements with LDRCal / aCal |
1192 UinPe = C2e*UinP - S2e*QinP |
1198 if (TypeC == 2) or (TypeC == 1): # rotator calibration Eq. C.4 |
1193 |
1199 # parameters for calibration with aCal |
1194 # Calibration signals and Calibration correction K from measurements with LDRCal / aCal |
1200 AT = ATP1*IinP + h*ATP4*VinP |
1195 if (TypeC == 2) or (TypeC == 1): # rotator calibration Eq. C.4 |
1201 BT = ATP3e*QinP - h*ATP2e*UinP |
1196 # parameters for calibration with aCal |
1202 AR = ARP1*IinP + h*ARP4*VinP |
1197 AT = ATP1*IinP + h*ATP4*VinP |
1203 BR = ARP3e*QinP - h*ARP2e*UinP |
1198 BT = ATP3e*QinP - h*ATP2e*UinP |
1204 # Correction paremeters for normal measurements; they are independent of LDR |
1199 AR = ARP1*IinP + h*ARP4*VinP |
1205 if (not RotationErrorEpsilonForNormalMeasurements): # calibrator taken out |
1200 BR = ARP3e*QinP - h*ARP2e*UinP |
1206 IS1 = np.array([IinPo,QinPo,UinPo,VinPo]) |
1201 # Correction paremeters for normal measurements; they are independent of LDR |
1207 IS2 = np.array([IinPa,QinPa,UinPa,VinPa]) |
1202 if (not RotationErrorEpsilonForNormalMeasurements): # calibrator taken out |
1208 GT = np.dot(ATP,IS1) |
1203 IS1 = np.array([IinPo,QinPo,UinPo,VinPo]) |
1209 GR = np.dot(ARP,IS1) |
1204 IS2 = np.array([IinPa,QinPa,UinPa,VinPa]) |
1210 HT = np.dot(ATP,IS2) |
1205 GT = np.dot(ATP,IS1) |
1211 HR = np.dot(ARP,IS2) |
1206 GR = np.dot(ARP,IS1) |
1212 else: |
1207 HT = np.dot(ATP,IS2) |
1213 IS1 = np.array([IinPo,QinPo,UinPo,VinPo]) |
1208 HR = np.dot(ARP,IS2) |
1214 IS2 = np.array([IinPa,QinPa,UinPa,VinPa]) |
|
1215 GT = np.dot(ATPe,IS1) |
|
1216 GR = np.dot(ARPe,IS1) |
|
1217 HT = np.dot(ATPe,IS2) |
|
1218 HR = np.dot(ARPe,IS2) |
|
1219 elif (TypeC == 3) or (TypeC == 4): # linear polariser calibration Eq. C.5 |
|
1220 # parameters for calibration with aCal |
|
1221 AT = ATP1*IinP + ATP3e*UinPe + ZiC*CosC*(ATP2e*QinPe + ATP4*VinP) |
|
1222 BT = DiC*(ATP1*UinPe + ATP3e*IinP) - ZiC*SinC*(ATP2e*VinP - ATP4*QinPe) |
|
1223 AR = ARP1*IinP + ARP3e*UinPe + ZiC*CosC*(ARP2e*QinPe + ARP4*VinP) |
|
1224 BR = DiC*(ARP1*UinPe + ARP3e*IinP) - ZiC*SinC*(ARP2e*VinP - ARP4*QinPe) |
|
1225 # Correction paremeters for normal measurements; they are independent of LDR |
|
1226 if (not RotationErrorEpsilonForNormalMeasurements): # calibrator taken out |
|
1227 IS1 = np.array([IinPo,QinPo,UinPo,VinPo]) |
|
1228 IS2 = np.array([IinPa,QinPa,UinPa,VinPa]) |
|
1229 GT = np.dot(ATP,IS1) |
|
1230 GR = np.dot(ARP,IS1) |
|
1231 HT = np.dot(ATP,IS2) |
|
1232 HR = np.dot(ARP,IS2) |
|
1233 else: |
|
1234 IS1e = np.array([IinPo+DiC*QinPoe,DiC*IinPo+QinPoe,ZiC*(CosC*UinPoe+SinC*VinPo),-ZiC*(SinC*UinPoe-CosC*VinPo)]) |
|
1235 IS2e = np.array([IinPa+DiC*QinPae,DiC*IinPa+QinPae,ZiC*(CosC*UinPae+SinC*VinPa),-ZiC*(SinC*UinPae-CosC*VinPa)]) |
|
1236 GT = np.dot(ATPe,IS1e) |
|
1237 GR = np.dot(ARPe,IS1e) |
|
1238 HT = np.dot(ATPe,IS2e) |
|
1239 HR = np.dot(ARPe,IS2e) |
|
1240 elif (TypeC == 6): # diattenuator calibration +-22.5° rotated_diattenuator_X22x5deg.odt |
|
1241 # parameters for calibration with aCal |
|
1242 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) |
|
1243 BT = sqr05*DiC*(ATP1*UinPe + ATP3e*IinP) + 0.5*WiC*(ATP2e*UinPe + ATP3e*QinPe) - sqr05*ZiC*SinC*(ATP2e*VinP - ATP4*QinPe) |
|
1244 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) |
|
1245 BR = sqr05*DiC*(ARP1*UinPe + ARP3e*IinP) + 0.5*WiC*(ARP2e*UinPe + ARP3e*QinPe) - sqr05*ZiC*SinC*(ARP2e*VinP - ARP4*QinPe) |
|
1246 # Correction paremeters for normal measurements; they are independent of LDR |
|
1247 if (not RotationErrorEpsilonForNormalMeasurements): # calibrator taken out |
|
1248 IS1 = np.array([IinPo,QinPo,UinPo,VinPo]) |
|
1249 IS2 = np.array([IinPa,QinPa,UinPa,VinPa]) |
|
1250 GT = np.dot(ATP,IS1) |
|
1251 GR = np.dot(ARP,IS1) |
|
1252 HT = np.dot(ATP,IS2) |
|
1253 HR = np.dot(ARP,IS2) |
|
1254 else: |
|
1255 IS1e = np.array([IinPo+DiC*QinPoe,DiC*IinPo+QinPoe,ZiC*(CosC*UinPoe+SinC*VinPo),-ZiC*(SinC*UinPoe-CosC*VinPo)]) |
|
1256 IS2e = np.array([IinPa+DiC*QinPae,DiC*IinPa+QinPae,ZiC*(CosC*UinPae+SinC*VinPa),-ZiC*(SinC*UinPae-CosC*VinPa)]) |
|
1257 GT = np.dot(ATPe,IS1e) |
|
1258 GR = np.dot(ARPe,IS1e) |
|
1259 HT = np.dot(ATPe,IS2e) |
|
1260 HR = np.dot(ARPe,IS2e) |
1209 else: |
1261 else: |
1210 IS1 = np.array([IinPo,QinPo,UinPo,VinPo]) |
1262 print("Calibrator not implemented yet") |
1211 IS2 = np.array([IinPa,QinPa,UinPa,VinPa]) |
1263 sys.exit() |
1212 GT = np.dot(ATPe,IS1) |
1264 |
1213 GR = np.dot(ARPe,IS1) |
1265 elif LocC == 3: # C before receiver optics Eq.57 |
1214 HT = np.dot(ATPe,IS2) |
1266 |
1215 HR = np.dot(ARPe,IS2) |
1267 #S2ge = np.sin(np.deg2rad(2*RotO - 2*RotC)) |
1216 elif (TypeC == 3) or (TypeC == 4): # linear polariser calibration Eq. C.5 |
1268 #C2ge = np.cos(np.deg2rad(2*RotO - 2*RotC)) |
1217 # parameters for calibration with aCal |
1269 S2e = np.sin(np.deg2rad(2*RotC)) |
1218 AT = ATP1*IinP + ATP3e*UinPe + ZiC*CosC*(ATP2e*QinPe + ATP4*VinP) |
1270 C2e = np.cos(np.deg2rad(2*RotC)) |
1219 BT = DiC*(ATP1*UinPe + ATP3e*IinP) - ZiC*SinC*(ATP2e*VinP - ATP4*QinPe) |
1271 |
1220 AR = ARP1*IinP + ARP3e*UinPe + ZiC*CosC*(ARP2e*QinPe + ARP4*VinP) |
1272 # AS with C before the receiver optics (see document rotated_diattenuator_X22x5deg.odt) |
1221 BR = DiC*(ARP1*UinPe + ARP3e*IinP) - ZiC*SinC*(ARP2e*VinP - ARP4*QinPe) |
1273 AF1 = np.array([1,C2g*DiO,S2g*DiO,0]) |
1222 # Correction paremeters for normal measurements; they are independent of LDR |
1274 AF2 = np.array([C2g*DiO,1-S2g**2*WiO,S2g*C2g*WiO,-S2g*ZiO*SinO]) |
1223 if (not RotationErrorEpsilonForNormalMeasurements): # calibrator taken out |
1275 AF3 = np.array([S2g*DiO, S2g*C2g*WiO, 1-C2g**2*WiO, C2g*ZiO*SinO]) |
1224 IS1 = np.array([IinPo,QinPo,UinPo,VinPo]) |
1276 AF4 = np.array([0, S2g*SinO, -C2g*SinO, CosO]) |
1225 IS2 = np.array([IinPa,QinPa,UinPa,VinPa]) |
1277 |
1226 GT = np.dot(ATP,IS1) |
1278 ATF = (ATP1*AF1+ATP2*AF2+ATP3*AF3+ATP4*AF4) |
1227 GR = np.dot(ARP,IS1) |
1279 ARF = (ARP1*AF1+ARP2*AF2+ARP3*AF3+ARP4*AF4) |
1228 HT = np.dot(ATP,IS2) |
1280 ATF1 = ATF[0] |
1229 HR = np.dot(ARP,IS2) |
1281 ATF2 = ATF[1] |
|
1282 ATF3 = ATF[2] |
|
1283 ATF4 = ATF[3] |
|
1284 ARF1 = ARF[0] |
|
1285 ARF2 = ARF[1] |
|
1286 ARF3 = ARF[2] |
|
1287 ARF4 = ARF[3] |
|
1288 |
|
1289 # rotated AinF by epsilon |
|
1290 ATF2e = C2e*ATF[1] + S2e*ATF[2] |
|
1291 ATF3e = C2e*ATF[2] - S2e*ATF[1] |
|
1292 ARF2e = C2e*ARF[1] + S2e*ARF[2] |
|
1293 ARF3e = C2e*ARF[2] - S2e*ARF[1] |
|
1294 |
|
1295 ATFe = np.array([ATF1,ATF2e,ATF3e,ATF4]) |
|
1296 ARFe = np.array([ARF1,ARF2e,ARF3e,ARF4]) |
|
1297 |
|
1298 QinEe = C2e*QinE + S2e*UinE |
|
1299 UinEe = C2e*UinE - S2e*QinE |
|
1300 |
|
1301 # Stokes Input Vector before receiver optics Eq. E.19 (after atmosphere F) |
|
1302 IinF = IinE |
|
1303 QinF = aCal*QinE |
|
1304 UinF = -aCal*UinE |
|
1305 VinF = (1.-2.*aCal)*VinE |
|
1306 |
|
1307 IinFo = IinE |
|
1308 QinFo = 0. |
|
1309 UinFo = 0. |
|
1310 VinFo = VinE |
|
1311 |
|
1312 IinFa = 0. |
|
1313 QinFa = QinE |
|
1314 UinFa = -UinE |
|
1315 VinFa = -2.*VinE |
|
1316 |
|
1317 # Stokes Input Vector before receiver optics rotated by epsilon Eq. C.3 |
|
1318 QinFe = C2e*QinF + S2e*UinF |
|
1319 UinFe = C2e*UinF - S2e*QinF |
|
1320 QinFoe = C2e*QinFo + S2e*UinFo |
|
1321 UinFoe = C2e*UinFo - S2e*QinFo |
|
1322 QinFae = C2e*QinFa + S2e*UinFa |
|
1323 UinFae = C2e*UinFa - S2e*QinFa |
|
1324 |
|
1325 # Calibration signals and Calibration correction K from measurements with LDRCal / aCal |
|
1326 if (TypeC == 2) or (TypeC == 1): # rotator calibration Eq. C.4 |
|
1327 AT = ATF1*IinF + ATF4*h*VinF |
|
1328 BT = ATF3e*QinF - ATF2e*h*UinF |
|
1329 AR = ARF1*IinF + ARF4*h*VinF |
|
1330 BR = ARF3e*QinF - ARF2e*h*UinF |
|
1331 |
|
1332 # Correction paremeters for normal measurements; they are independent of LDR |
|
1333 if (not RotationErrorEpsilonForNormalMeasurements): |
|
1334 GT = ATF1*IinE + ATF4*VinE |
|
1335 GR = ARF1*IinE + ARF4*VinE |
|
1336 HT = ATF2*QinE - ATF3*UinE - ATF4*2*VinE |
|
1337 HR = ARF2*QinE - ARF3*UinE - ARF4*2*VinE |
|
1338 else: |
|
1339 GT = ATF1*IinE + ATF4*h*VinE |
|
1340 GR = ARF1*IinE + ARF4*h*VinE |
|
1341 HT = ATF2e*QinE - ATF3e*h*UinE - ATF4*h*2*VinE |
|
1342 HR = ARF2e*QinE - ARF3e*h*UinE - ARF4*h*2*VinE |
|
1343 |
|
1344 elif (TypeC == 3) or (TypeC == 4): # linear polariser calibration Eq. C.5 |
|
1345 # p = +45°, m = -45° |
|
1346 IF1e = np.array([IinF, ZiC*CosC*QinFe, UinFe, ZiC*CosC*VinF]) |
|
1347 IF2e = np.array([DiC*UinFe, -ZiC*SinC*VinF, DiC*IinF, ZiC*SinC*QinFe]) |
|
1348 |
|
1349 AT = np.dot(ATFe,IF1e) |
|
1350 AR = np.dot(ARFe,IF1e) |
|
1351 BT = np.dot(ATFe,IF2e) |
|
1352 BR = np.dot(ARFe,IF2e) |
|
1353 |
|
1354 # Correction paremeters for normal measurements; they are independent of LDR --- the same as for TypeC = 6 |
|
1355 if (not RotationErrorEpsilonForNormalMeasurements): # calibrator taken out |
|
1356 IS1 = np.array([IinE,0,0,VinE]) |
|
1357 IS2 = np.array([0,QinE,-UinE,-2*VinE]) |
|
1358 |
|
1359 GT = np.dot(ATF,IS1) |
|
1360 GR = np.dot(ARF,IS1) |
|
1361 HT = np.dot(ATF,IS2) |
|
1362 HR = np.dot(ARF,IS2) |
|
1363 else: |
|
1364 IS1e = np.array([IinFo+DiC*QinFoe,DiC*IinFo+QinFoe,ZiC*(CosC*UinFoe+SinC*VinFo),-ZiC*(SinC*UinFoe-CosC*VinFo)]) |
|
1365 IS2e = np.array([IinFa+DiC*QinFae,DiC*IinFa+QinFae,ZiC*(CosC*UinFae+SinC*VinFa),-ZiC*(SinC*UinFae-CosC*VinFa)]) |
|
1366 GT = np.dot(ATFe,IS1e) |
|
1367 GR = np.dot(ARFe,IS1e) |
|
1368 HT = np.dot(ATFe,IS2e) |
|
1369 HR = np.dot(ARFe,IS2e) |
|
1370 |
|
1371 elif (TypeC == 6): # diattenuator calibration +-22.5° rotated_diattenuator_X22x5deg.odt |
|
1372 # p = +22.5°, m = -22.5° |
|
1373 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]) |
|
1374 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]) |
|
1375 |
|
1376 AT = np.dot(ATFe,IF1e) |
|
1377 AR = np.dot(ARFe,IF1e) |
|
1378 BT = np.dot(ATFe,IF2e) |
|
1379 BR = np.dot(ARFe,IF2e) |
|
1380 |
|
1381 # Correction paremeters for normal measurements; they are independent of LDR |
|
1382 if (not RotationErrorEpsilonForNormalMeasurements): # calibrator taken out |
|
1383 #IS1 = np.array([IinE,0,0,VinE]) |
|
1384 #IS2 = np.array([0,QinE,-UinE,-2*VinE]) |
|
1385 IS1 = np.array([IinFo,0,0,VinFo]) |
|
1386 IS2 = np.array([0,QinFa,UinFa,VinFa]) |
|
1387 GT = np.dot(ATF,IS1) |
|
1388 GR = np.dot(ARF,IS1) |
|
1389 HT = np.dot(ATF,IS2) |
|
1390 HR = np.dot(ARF,IS2) |
|
1391 else: |
|
1392 #IS1e = np.array([IinE,DiC*IinE,ZiC*SinC*VinE,ZiC*CosC*VinE]) |
|
1393 #IS2e = np.array([DiC*QinEe,QinEe,-ZiC*(CosC*UinEe+2*SinC*VinE),ZiC*(SinC*UinEe-2*CosC*VinE)]) |
|
1394 IS1e = np.array([IinFo+DiC*QinFoe,DiC*IinFo+QinFoe,ZiC*(CosC*UinFoe+SinC*VinFo),-ZiC*(SinC*UinFoe-CosC*VinFo)]) |
|
1395 IS2e = np.array([IinFa+DiC*QinFae,DiC*IinFa+QinFae,ZiC*(CosC*UinFae+SinC*VinFa),-ZiC*(SinC*UinFae-CosC*VinFa)]) |
|
1396 GT = np.dot(ATFe,IS1e) |
|
1397 GR = np.dot(ARFe,IS1e) |
|
1398 HT = np.dot(ATFe,IS2e) |
|
1399 HR = np.dot(ARFe,IS2e) |
|
1400 |
|
1401 |
1230 else: |
1402 else: |
1231 IS1e = np.array([IinPo+DiC*QinPoe,DiC*IinPo+QinPoe,ZiC*(CosC*UinPoe+SinC*VinPo),-ZiC*(SinC*UinPoe-CosC*VinPo)]) |
1403 print('Calibrator not implemented yet') |
1232 IS2e = np.array([IinPa+DiC*QinPae,DiC*IinPa+QinPae,ZiC*(CosC*UinPae+SinC*VinPa),-ZiC*(SinC*UinPae-CosC*VinPa)]) |
1404 sys.exit() |
1233 GT = np.dot(ATPe,IS1e) |
1405 |
1234 GR = np.dot(ARPe,IS1e) |
1406 elif LocC == 2: # C behind emitter optics Eq.57 |
1235 HT = np.dot(ATPe,IS2e) |
1407 #print("Calibrator location not implemented yet") |
1236 HR = np.dot(ARPe,IS2e) |
1408 S2e = np.sin(np.deg2rad(2*RotC)) |
1237 elif (TypeC == 6): # diattenuator calibration +-22.5° rotated_diattenuator_X22x5deg.odt |
1409 C2e = np.cos(np.deg2rad(2*RotC)) |
1238 # parameters for calibration with aCal |
1410 |
1239 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) |
1411 # AS with C before the receiver optics (see document rotated_diattenuator_X22x5deg.odt) |
1240 BT = sqr05*DiC*(ATP1*UinPe + ATP3e*IinP) + 0.5*WiC*(ATP2e*UinPe + ATP3e*QinPe) - sqr05*ZiC*SinC*(ATP2e*VinP - ATP4*QinPe) |
1412 AF1 = np.array([1,C2g*DiO,S2g*DiO,0]) |
1241 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) |
1413 AF2 = np.array([C2g*DiO,1-S2g**2*WiO,S2g*C2g*WiO,-S2g*ZiO*SinO]) |
1242 BR = sqr05*DiC*(ARP1*UinPe + ARP3e*IinP) + 0.5*WiC*(ARP2e*UinPe + ARP3e*QinPe) - sqr05*ZiC*SinC*(ARP2e*VinP - ARP4*QinPe) |
1414 AF3 = np.array([S2g*DiO, S2g*C2g*WiO, 1-C2g**2*WiO, C2g*ZiO*SinO]) |
1243 # Correction paremeters for normal measurements; they are independent of LDR |
1415 AF4 = np.array([0, S2g*SinO, -C2g*SinO, CosO]) |
1244 if (not RotationErrorEpsilonForNormalMeasurements): # calibrator taken out |
1416 |
1245 IS1 = np.array([IinPo,QinPo,UinPo,VinPo]) |
1417 ATF = (ATP1*AF1+ATP2*AF2+ATP3*AF3+ATP4*AF4) |
1246 IS2 = np.array([IinPa,QinPa,UinPa,VinPa]) |
1418 ARF = (ARP1*AF1+ARP2*AF2+ARP3*AF3+ARP4*AF4) |
1247 GT = np.dot(ATP,IS1) |
1419 ATF1 = ATF[0] |
1248 GR = np.dot(ARP,IS1) |
1420 ATF2 = ATF[1] |
1249 HT = np.dot(ATP,IS2) |
1421 ATF3 = ATF[2] |
1250 HR = np.dot(ARP,IS2) |
1422 ATF4 = ATF[3] |
|
1423 ARF1 = ARF[0] |
|
1424 ARF2 = ARF[1] |
|
1425 ARF3 = ARF[2] |
|
1426 ARF4 = ARF[3] |
|
1427 |
|
1428 # AS with C behind the emitter -------------------------------------------- |
|
1429 # terms without aCal |
|
1430 ATE1o, ARE1o = ATF1, ARF1 |
|
1431 ATE2o, ARE2o = 0., 0. |
|
1432 ATE3o, ARE3o = 0., 0. |
|
1433 ATE4o, ARE4o = ATF4, ARF4 |
|
1434 # terms with aCal |
|
1435 ATE1a, ARE1a = 0. , 0. |
|
1436 ATE2a, ARE2a = ATF2, ARF2 |
|
1437 ATE3a, ARE3a = -ATF3, -ARF3 |
|
1438 ATE4a, ARE4a = -2*ATF4, -2*ARF4 |
|
1439 # rotated AinEa by epsilon |
|
1440 ATE2ae = C2e*ATF2 + S2e*ATF3 |
|
1441 ATE3ae = -S2e*ATF2 - C2e*ATF3 |
|
1442 ARE2ae = C2e*ARF2 + S2e*ARF3 |
|
1443 ARE3ae = -S2e*ARF2 - C2e*ARF3 |
|
1444 |
|
1445 ATE1 = ATE1o |
|
1446 ATE2e = aCal*ATE2ae |
|
1447 ATE3e = aCal*ATE3ae |
|
1448 ATE4 = (1-2*aCal)*ATF4 |
|
1449 ARE1 = ARE1o |
|
1450 ARE2e = aCal*ARE2ae |
|
1451 ARE3e = aCal*ARE3ae |
|
1452 ARE4 = (1-2*aCal)*ARF4 |
|
1453 |
|
1454 # rotated IinE |
|
1455 QinEe = C2e*QinE + S2e*UinE |
|
1456 UinEe = C2e*UinE - S2e*QinE |
|
1457 |
|
1458 # --- Calibration signals and Calibration correction K from measurements with LDRCal / aCal |
|
1459 if (TypeC == 2) or (TypeC == 1): # +++++++++ rotator calibration Eq. C.4 |
|
1460 AT = ATE1o*IinE + (ATE4o+aCal*ATE4a)*h*VinE |
|
1461 BT = aCal * (ATE3ae*QinEe - ATE2ae*h*UinEe) |
|
1462 AR = ARE1o*IinE + (ARE4o+aCal*ARE4a)*h*VinE |
|
1463 BR = aCal * (ARE3ae*QinEe - ARE2ae*h*UinEe) |
|
1464 |
|
1465 # Correction paremeters for normal measurements; they are independent of LDR |
|
1466 if (not RotationErrorEpsilonForNormalMeasurements): |
|
1467 # Stokes Input Vector before receiver optics Eq. E.19 (after atmosphere F) |
|
1468 GT = ATE1o*IinE + ATE4o*h*VinE |
|
1469 GR = ARE1o*IinE + ARE4o*h*VinE |
|
1470 HT = ATE2a*QinE + ATE3a*h*UinEe + ATE4a*h*VinE |
|
1471 HR = ARE2a*QinE + ARE3a*h*UinEe + ARE4a*h*VinE |
|
1472 else: |
|
1473 GT = ATE1o*IinE + ATE4o*h*VinE |
|
1474 GR = ARE1o*IinE + ARE4o*h*VinE |
|
1475 HT = ATE2ae*QinE + ATE3ae*h*UinEe + ATE4a*h*VinE |
|
1476 HR = ARE2ae*QinE + ARE3ae*h*UinEe + ARE4a*h*VinE |
|
1477 |
|
1478 elif (TypeC == 3) or (TypeC == 4): # +++++++++ linear polariser calibration Eq. C.5 |
|
1479 # p = +45°, m = -45° |
|
1480 AT = ATE1*IinE + ZiC*CosC*(ATE2e*QinEe + ATE4*VinE) + ATE3e*UinEe |
|
1481 BT = DiC*(ATE1*UinEe + ATE3e*IinE) + ZiC*SinC*(ATE4*QinEe - ATE2e*VinE) |
|
1482 AR = ARE1*IinE + ZiC*CosC*(ARE2e*QinEe + ARE4*VinE) + ARE3e*UinEe |
|
1483 BR = DiC*(ARE1*UinEe + ARE3e*IinE) + ZiC*SinC*(ARE4*QinEe - ARE2e*VinE) |
|
1484 |
|
1485 # Correction paremeters for normal measurements; they are independent of LDR |
|
1486 if (not RotationErrorEpsilonForNormalMeasurements): |
|
1487 # Stokes Input Vector before receiver optics Eq. E.19 (after atmosphere F) |
|
1488 GT = ATE1o*IinE + ATE4o*VinE |
|
1489 GR = ARE1o*IinE + ARE4o*VinE |
|
1490 HT = ATE2a*QinE + ATE3a*UinE + ATE4a*VinE |
|
1491 HR = ARE2a*QinE + ARE3a*UinE + ARE4a*VinE |
|
1492 else: |
|
1493 D = IinE + DiC*QinEe |
|
1494 A = DiC*IinE + QinEe |
|
1495 B = ZiC*(CosC*UinEe + SinC*VinE) |
|
1496 C = -ZiC*(SinC*UinEe - CosC*VinE) |
|
1497 GT = ATE1o*D + ATE4o*C |
|
1498 GR = ARE1o*D + ARE4o*C |
|
1499 HT = ATE2a*A + ATE3a*B + ATE4a*C |
|
1500 HR = ARE2a*A + ARE3a*B + ARE4a*C |
|
1501 |
|
1502 elif (TypeC == 6): # real HWP calibration +-22.5° rotated_diattenuator_X22x5deg.odt |
|
1503 # p = +22.5°, m = -22.5° |
|
1504 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]) |
|
1505 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]) |
|
1506 ATEe = np.array([ATE1,ATE2e,ATE3e,ATE4]) |
|
1507 AREe = np.array([ARE1,ARE2e,ARE3e,ARE4]) |
|
1508 AT = np.dot(ATEe,IE1e) |
|
1509 AR = np.dot(AREe,IE1e) |
|
1510 BT = np.dot(ATEe,IE2e) |
|
1511 BR = np.dot(AREe,IE2e) |
|
1512 |
|
1513 # Correction paremeters for normal measurements; they are independent of LDR |
|
1514 if (not RotationErrorEpsilonForNormalMeasurements): # calibrator taken out |
|
1515 GT = ATE1o*IinE + ATE4o*VinE |
|
1516 GR = ARE1o*IinE + ARE4o*VinE |
|
1517 HT = ATE2a*QinE + ATE3a*UinE + ATE4a*VinE |
|
1518 HR = ARE2a*QinE + ARE3a*UinE + ARE4a*VinE |
|
1519 else: |
|
1520 D = IinE + DiC*QinEe |
|
1521 A = DiC*IinE + QinEe |
|
1522 B = ZiC*(CosC*UinEe + SinC*VinE) |
|
1523 C = -ZiC*(SinC*UinEe - CosC*VinE) |
|
1524 GT = ATE1o*D + ATE4o*C |
|
1525 GR = ARE1o*D + ARE4o*C |
|
1526 HT = ATE2a*A + ATE3a*B + ATE4a*C |
|
1527 HR = ARE2a*A + ARE3a*B + ARE4a*C |
|
1528 |
1251 else: |
1529 else: |
1252 IS1e = np.array([IinPo+DiC*QinPoe,DiC*IinPo+QinPoe,ZiC*(CosC*UinPoe+SinC*VinPo),-ZiC*(SinC*UinPoe-CosC*VinPo)]) |
1530 print('Calibrator not implemented yet') |
1253 IS2e = np.array([IinPa+DiC*QinPae,DiC*IinPa+QinPae,ZiC*(CosC*UinPae+SinC*VinPa),-ZiC*(SinC*UinPae-CosC*VinPa)]) |
1531 sys.exit() |
1254 GT = np.dot(ATPe,IS1e) |
1532 |
1255 GR = np.dot(ARPe,IS1e) |
1533 # Calibration signals with aCal => Determination of the correction K of the real calibration factor |
1256 HT = np.dot(ATPe,IS2e) |
1534 IoutTp = TaT*TiT*TiO*TiE*(AT + BT) |
1257 HR = np.dot(ARPe,IS2e) |
1535 IoutTm = TaT*TiT*TiO*TiE*(AT - BT) |
1258 else: |
1536 IoutRp = TaR*TiR*TiO*TiE*(AR + BR) |
1259 print("Calibrator not implemented yet") |
1537 IoutRm = TaR*TiR*TiO*TiE*(AR - BR) |
1260 sys.exit() |
1538 # --- Results and Corrections; electronic etaR and etaT are assumed to be 1 |
1261 |
1539 #Eta = TiR/TiT # Eta = Eta*/K Eq. 84 |
1262 elif LocC == 3: # C before receiver optics Eq.57 |
1540 Etapx = IoutRp/IoutTp |
1263 |
1541 Etamx = IoutRm/IoutTm |
1264 #S2ge = np.sin(np.deg2rad(2*RotO - 2*RotC)) |
1542 Etax = (Etapx*Etamx)**0.5 |
1265 #C2ge = np.cos(np.deg2rad(2*RotO - 2*RotC)) |
1543 K = Etax / Eta0 |
1266 S2e = np.sin(np.deg2rad(2*RotC)) |
1544 #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)) |
1267 C2e = np.cos(np.deg2rad(2*RotC)) |
1545 #print("{0:6.3f},{1:6.3f},{2:6.3f},{3:6.3f}".format(DiC, ZiC, Kp, Km)) |
1268 |
1546 |
1269 # AS with C before the receiver optics (see document rotated_diattenuator_X22x5deg.odt) |
1547 # For comparison with Volkers Libreoffice Müller Matrix spreadsheet |
1270 AF1 = np.array([1,C2g*DiO,S2g*DiO,0]) |
1548 #Eta_test_p = (IoutRp/IoutTp) |
1271 AF2 = np.array([C2g*DiO,1-S2g**2*WiO,S2g*C2g*WiO,-S2g*ZiO*SinO]) |
1549 #Eta_test_m = (IoutRm/IoutTm) |
1272 AF3 = np.array([S2g*DiO, S2g*C2g*WiO, 1-C2g**2*WiO, C2g*ZiO*SinO]) |
1550 #Eta_test = (Eta_test_p*Eta_test_m)**0.5 |
1273 AF4 = np.array([0, S2g*SinO, -C2g*SinO, CosO]) |
1551 |
1274 |
1552 # ************************************************************************* |
1275 ATF = (ATP1*AF1+ATP2*AF2+ATP3*AF3+ATP4*AF4) |
1553 iLDR = -1 |
1276 ARF = (ARP1*AF1+ARP2*AF2+ARP3*AF3+ARP4*AF4) |
1554 for LDRTrue in LDRrange: |
1277 ATF1 = ATF[0] |
1555 iLDR = iLDR + 1 |
1278 ATF2 = ATF[1] |
1556 atrue = (1-LDRTrue)/(1+LDRTrue) |
1279 ATF3 = ATF[2] |
1557 # ----- Forward simulated signals and LDRsim with atrue; from input file |
1280 ATF4 = ATF[3] |
1558 It = TaT*TiT*TiO*TiE*(GT+atrue*HT) # TaT*TiT*TiC*TiO*IinL*(GT+atrue*HT) |
1281 ARF1 = ARF[0] |
1559 Ir = TaR*TiR*TiO*TiE*(GR+atrue*HR) # TaR*TiR*TiC*TiO*IinL*(GR+atrue*HR) |
1282 ARF2 = ARF[1] |
1560 |
1283 ARF3 = ARF[2] |
1561 # LDRsim = 1/Eta*Ir/It # simulated LDR* with Y from input file |
1284 ARF4 = ARF[3] |
1562 LDRsim = Ir/It # simulated uncorrected LDR with Y from input file |
1285 |
1563 ''' |
1286 # rotated AinF by epsilon |
1564 if Y == 1.: |
1287 ATF2e = C2e*ATF[1] + S2e*ATF[2] |
1565 LDRsimx = LDRsim |
1288 ATF3e = C2e*ATF[2] - S2e*ATF[1] |
1566 LDRsimx2 = LDRsim2 |
1289 ARF2e = C2e*ARF[1] + S2e*ARF[2] |
|
1290 ARF3e = C2e*ARF[2] - S2e*ARF[1] |
|
1291 |
|
1292 ATFe = np.array([ATF1,ATF2e,ATF3e,ATF4]) |
|
1293 ARFe = np.array([ARF1,ARF2e,ARF3e,ARF4]) |
|
1294 |
|
1295 QinEe = C2e*QinE + S2e*UinE |
|
1296 UinEe = C2e*UinE - S2e*QinE |
|
1297 |
|
1298 # Stokes Input Vector before receiver optics Eq. E.19 (after atmosphere F) |
|
1299 IinF = IinE |
|
1300 QinF = aCal*QinE |
|
1301 UinF = -aCal*UinE |
|
1302 VinF = (1.-2.*aCal)*VinE |
|
1303 |
|
1304 IinFo = IinE |
|
1305 QinFo = 0. |
|
1306 UinFo = 0. |
|
1307 VinFo = VinE |
|
1308 |
|
1309 IinFa = 0. |
|
1310 QinFa = QinE |
|
1311 UinFa = -UinE |
|
1312 VinFa = -2.*VinE |
|
1313 |
|
1314 # Stokes Input Vector before receiver optics rotated by epsilon Eq. C.3 |
|
1315 QinFe = C2e*QinF + S2e*UinF |
|
1316 UinFe = C2e*UinF - S2e*QinF |
|
1317 QinFoe = C2e*QinFo + S2e*UinFo |
|
1318 UinFoe = C2e*UinFo - S2e*QinFo |
|
1319 QinFae = C2e*QinFa + S2e*UinFa |
|
1320 UinFae = C2e*UinFa - S2e*QinFa |
|
1321 |
|
1322 # Calibration signals and Calibration correction K from measurements with LDRCal / aCal |
|
1323 if (TypeC == 2) or (TypeC == 1): # rotator calibration Eq. C.4 |
|
1324 AT = ATF1*IinF + ATF4*h*VinF |
|
1325 BT = ATF3e*QinF - ATF2e*h*UinF |
|
1326 AR = ARF1*IinF + ARF4*h*VinF |
|
1327 BR = ARF3e*QinF - ARF2e*h*UinF |
|
1328 |
|
1329 # Correction paremeters for normal measurements; they are independent of LDR |
|
1330 if (not RotationErrorEpsilonForNormalMeasurements): |
|
1331 GT = ATF1*IinE + ATF4*VinE |
|
1332 GR = ARF1*IinE + ARF4*VinE |
|
1333 HT = ATF2*QinE - ATF3*UinE - ATF4*2*VinE |
|
1334 HR = ARF2*QinE - ARF3*UinE - ARF4*2*VinE |
|
1335 else: |
1567 else: |
1336 GT = ATF1*IinE + ATF4*h*VinE |
1568 LDRsimx = 1./LDRsim |
1337 GR = ARF1*IinE + ARF4*h*VinE |
1569 LDRsimx2 = 1./LDRsim2 |
1338 HT = ATF2e*QinE - ATF3e*h*UinE - ATF4*h*2*VinE |
1570 ''' |
1339 HR = ARF2e*QinE - ARF3e*h*UinE - ARF4*h*2*VinE |
1571 # ----- Backward correction |
1340 |
1572 # Corrected LDRCorr from forward simulated LDRsim (atrue) with assumed true G0,H0,K0 |
1341 elif (TypeC == 3) or (TypeC == 4): # linear polariser calibration Eq. C.5 |
1573 LDRCorr = (LDRsim*K0/Etax*(GT0+HT0)-(GR0+HR0))/((GR0-HR0)-LDRsim*K0/Etax*(GT0-HT0)) |
1342 # p = +45°, m = -45° |
1574 |
1343 IF1e = np.array([IinF, ZiC*CosC*QinFe, UinFe, ZiC*CosC*VinF]) |
1575 # -- F11corr from It and Ir and calibration EtaX |
1344 IF2e = np.array([DiC*UinFe, -ZiC*SinC*VinF, DiC*IinF, ZiC*SinC*QinFe]) |
1576 Text1 = "!!! EXPERIMENTAL !!! F11corr from It and Ir with calibration EtaX: x-axis: F11corr(LDRtrue) / F11corr(LDRtrue = 0.004) - 1" |
1345 |
1577 F11corr = 1/(TiO*TiE)*((HR0*Etax/K0*It/TTa-HT0*Ir/TRa)/(HR0*GT0-HT0*GR0)) # IL = 1 Eq.(64) |
1346 AT = np.dot(ATFe,IF1e) |
1578 |
1347 AR = np.dot(ARFe,IF1e) |
1579 #Text1 = "F11corr from It and Ir without corrections but with calibration EtaX: x-axis: F11corr(LDRtrue) devided by F11corr(LDRtrue = 0.004)" |
1348 BT = np.dot(ATFe,IF2e) |
1580 #F11corr = 0.5/(TiO*TiE)*(Etax*It/TTa+Ir/TRa) # IL = 1 Eq.(64) |
1349 BR = np.dot(ARFe,IF2e) |
1581 |
1350 |
1582 # -- It from It only with atrue without corrections - for BERTHA (and PollyXTs) |
1351 # Correction paremeters for normal measurements; they are independent of LDR --- the same as for TypeC = 6 |
1583 #Text1 = " x-axis: IT(LDRtrue) / IT(LDRtrue = 0.004) - 1" |
1352 if (not RotationErrorEpsilonForNormalMeasurements): # calibrator taken out |
1584 #F11corr = It/(TaT*TiT*TiO*TiE) #/(TaT*TiT*TiO*TiE*(GT0+atrue*HT0)) |
1353 IS1 = np.array([IinE,0,0,VinE]) |
1585 # !!! see below line 1673ff |
1354 IS2 = np.array([0,QinE,-UinE,-2*VinE]) |
1586 |
1355 |
1587 aF11corr[iLDR,iN] = F11corr |
1356 GT = np.dot(ATF,IS1) |
1588 aA[iLDR,iN] = LDRCorr |
1357 GR = np.dot(ARF,IS1) |
1589 |
1358 HT = np.dot(ATF,IS2) |
1590 aX[0,iN] = GR |
1359 HR = np.dot(ARF,IS2) |
1591 aX[1,iN] = GT |
1360 else: |
1592 aX[2,iN] = HR |
1361 IS1e = np.array([IinFo+DiC*QinFoe,DiC*IinFo+QinFoe,ZiC*(CosC*UinFoe+SinC*VinFo),-ZiC*(SinC*UinFoe-CosC*VinFo)]) |
1593 aX[3,iN] = HT |
1362 IS2e = np.array([IinFa+DiC*QinFae,DiC*IinFa+QinFae,ZiC*(CosC*UinFae+SinC*VinFa),-ZiC*(SinC*UinFae-CosC*VinFa)]) |
1594 aX[4,iN] = K |
1363 GT = np.dot(ATFe,IS1e) |
1595 |
1364 GR = np.dot(ARFe,IS1e) |
1596 aLDRCal[iN] = iLDRCal |
1365 HT = np.dot(ATFe,IS2e) |
1597 aERaT[iN] = iERaT |
1366 HR = np.dot(ARFe,IS2e) |
1598 aERaR[iN] = iERaR |
1367 |
1599 aRotaT[iN] = iRotaT |
1368 elif (TypeC == 6): # diattenuator calibration +-22.5° rotated_diattenuator_X22x5deg.odt |
1600 aRotaR[iN] = iRotaR |
1369 # p = +22.5°, m = -22.5° |
1601 aRetT[iN] = iRetT |
1370 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]) |
1602 aRetR[iN] = iRetR |
1371 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]) |
1603 |
1372 |
1604 aRotL[iN] = iRotL |
1373 AT = np.dot(ATFe,IF1e) |
1605 aRotE[iN] = iRotE |
1374 AR = np.dot(ARFe,IF1e) |
1606 aRetE[iN] = iRetE |
1375 BT = np.dot(ATFe,IF2e) |
1607 aRotO[iN] = iRotO |
1376 BR = np.dot(ARFe,IF2e) |
1608 aRetO[iN] = iRetO |
1377 |
1609 aRotC[iN] = iRotC |
1378 # Correction paremeters for normal measurements; they are independent of LDR |
1610 aRetC[iN] = iRetC |
1379 if (not RotationErrorEpsilonForNormalMeasurements): # calibrator taken out |
1611 aDiO[iN] = iDiO |
1380 #IS1 = np.array([IinE,0,0,VinE]) |
1612 aDiE[iN] = iDiE |
1381 #IS2 = np.array([0,QinE,-UinE,-2*VinE]) |
1613 aDiC[iN] = iDiC |
1382 IS1 = np.array([IinFo,0,0,VinFo]) |
1614 aTP[iN] = iTP |
1383 IS2 = np.array([0,QinFa,UinFa,VinFa]) |
1615 aTS[iN] = iTS |
1384 GT = np.dot(ATF,IS1) |
1616 aRP[iN] = iRP |
1385 GR = np.dot(ARF,IS1) |
1617 aRS[iN] = iRS |
1386 HT = np.dot(ATF,IS2) |
1618 |
1387 HR = np.dot(ARF,IS2) |
1619 # --- END loop |
1388 else: |
1620 btime = clock() |
1389 #IS1e = np.array([IinE,DiC*IinE,ZiC*SinC*VinE,ZiC*CosC*VinE]) |
1621 print("\r done in ", "{0:5.0f}".format(btime-atime), "sec") #, end="\r") |
1390 #IS2e = np.array([DiC*QinEe,QinEe,-ZiC*(CosC*UinEe+2*SinC*VinE),ZiC*(SinC*UinEe-2*CosC*VinE)]) |
1622 |
1391 IS1e = np.array([IinFo+DiC*QinFoe,DiC*IinFo+QinFoe,ZiC*(CosC*UinFoe+SinC*VinFo),-ZiC*(SinC*UinFoe-CosC*VinFo)]) |
1623 # --- Plot ----------------------------------------------------------------- |
1392 IS2e = np.array([IinFa+DiC*QinFae,DiC*IinFa+QinFae,ZiC*(CosC*UinFae+SinC*VinFa),-ZiC*(SinC*UinFae-CosC*VinFa)]) |
1624 if (sns_loaded): |
1393 GT = np.dot(ATFe,IS1e) |
1625 sns.set_style("whitegrid") |
1394 GR = np.dot(ARFe,IS1e) |
1626 sns.set_palette("bright", 6) |
1395 HT = np.dot(ATFe,IS2e) |
1627 |
1396 HR = np.dot(ARFe,IS2e) |
1628 ''' |
1397 |
1629 fig2 = plt.figure() |
1398 |
1630 plt.plot(aA[2,:],'b.') |
1399 else: |
1631 plt.plot(aA[3,:],'r.') |
1400 print('Calibrator not implemented yet') |
1632 plt.plot(aA[4,:],'g.') |
1401 sys.exit() |
1633 #plt.plot(aA[6,:],'c.') |
1402 |
1634 plt.show |
1403 elif LocC == 2: # C behind emitter optics Eq.57 |
1635 ''' |
1404 #print("Calibrator location not implemented yet") |
1636 # Plot LDR |
1405 S2e = np.sin(np.deg2rad(2*RotC)) |
1637 def PlotSubHist(aVar, aX, X0, daX, iaX, naX): |
1406 C2e = np.cos(np.deg2rad(2*RotC)) |
1638 fig, ax = plt.subplots(nrows=1, ncols=5, sharex=True, sharey=True, figsize=(25, 2)) |
1407 |
1639 iLDR = -1 |
1408 # AS with C before the receiver optics (see document rotated_diattenuator_X22x5deg.odt) |
1640 for LDRTrue in LDRrange: |
1409 AF1 = np.array([1,C2g*DiO,S2g*DiO,0]) |
1641 iLDR = iLDR + 1 |
1410 AF2 = np.array([C2g*DiO,1-S2g**2*WiO,S2g*C2g*WiO,-S2g*ZiO*SinO]) |
1642 |
1411 AF3 = np.array([S2g*DiO, S2g*C2g*WiO, 1-C2g**2*WiO, C2g*ZiO*SinO]) |
1643 LDRmin[iLDR] = np.min(aA[iLDR,:]) |
1412 AF4 = np.array([0, S2g*SinO, -C2g*SinO, CosO]) |
1644 LDRmax[iLDR] = np.max(aA[iLDR,:]) |
1413 |
1645 Rmin = LDRmin[iLDR] * 0.995 # np.min(aA[iLDR,:]) * 0.995 |
1414 ATF = (ATP1*AF1+ATP2*AF2+ATP3*AF3+ATP4*AF4) |
1646 Rmax = LDRmax[iLDR] * 1.005 # np.max(aA[iLDR,:]) * 1.005 |
1415 ARF = (ARP1*AF1+ARP2*AF2+ARP3*AF3+ARP4*AF4) |
1647 |
1416 ATF1 = ATF[0] |
1648 #plt.subplot(5,2,iLDR+1) |
1417 ATF2 = ATF[1] |
1649 plt.subplot(1,5,iLDR+1) |
1418 ATF3 = ATF[2] |
1650 (n, bins, patches) = plt.hist(aA[iLDR,:], |
1419 ATF4 = ATF[3] |
1651 bins=100, log=False, |
1420 ARF1 = ARF[0] |
1652 range=[Rmin, Rmax], |
1421 ARF2 = ARF[1] |
1653 alpha=0.5, normed=False, color = '0.5', histtype='stepfilled') |
1422 ARF3 = ARF[2] |
1654 |
1423 ARF4 = ARF[3] |
1655 for iaX in range(-naX,naX+1): |
1424 |
1656 plt.hist(aA[iLDR,aX == iaX], |
1425 # AS with C behind the emitter -------------------------------------------- |
1657 range=[Rmin, Rmax], |
1426 # terms without aCal |
1658 bins=100, log=False, alpha=0.3, normed=False, histtype='stepfilled', label = str(round(X0 + iaX*daX/naX,5))) |
1427 ATE1o, ARE1o = ATF1, ARF1 |
1659 |
1428 ATE2o, ARE2o = 0., 0. |
1660 if (iLDR == 2): plt.legend() |
1429 ATE3o, ARE3o = 0., 0. |
1661 |
1430 ATE4o, ARE4o = ATF4, ARF4 |
1662 plt.tick_params(axis='both', labelsize=9) |
1431 # terms with aCal |
1663 plt.plot([LDRTrue, LDRTrue], [0, np.max(n)], 'r-', lw=2) |
1432 ATE1a, ARE1a = 0. , 0. |
1664 |
1433 ATE2a, ARE2a = ATF2, ARF2 |
1665 #plt.title(LID + ' ' + aVar, fontsize=18) |
1434 ATE3a, ARE3a = -ATF3, -ARF3 |
1666 #plt.ylabel('frequency', fontsize=10) |
1435 ATE4a, ARE4a = -2*ATF4, -2*ARF4 |
1667 #plt.xlabel('LDRcorr', fontsize=10) |
1436 # rotated AinEa by epsilon |
1668 #fig.tight_layout() |
1437 ATE2ae = C2e*ATF2 + S2e*ATF3 |
1669 fig.suptitle(LID + ' with ' + str(Type[TypeC]) + ' ' + str(Loc[LocC]) + ' - ' + aVar, fontsize=14, y=1.05) |
1438 ATE3ae = -S2e*ATF2 - C2e*ATF3 |
1670 #plt.show() |
1439 ARE2ae = C2e*ARF2 + S2e*ARF3 |
1671 #fig.savefig(LID + '_' + aVar + '.png', dpi=150, bbox_inches='tight', pad_inches=0) |
1440 ARE3ae = -S2e*ARF2 - C2e*ARF3 |
1672 #plt.close |
1441 |
1673 return |
1442 ATE1 = ATE1o |
1674 |
1443 ATE2e = aCal*ATE2ae |
1675 if (nRotL > 0): PlotSubHist("RotL", aRotL, RotL0, dRotL, iRotL, nRotL) |
1444 ATE3e = aCal*ATE3ae |
1676 if (nRetE > 0): PlotSubHist("RetE", aRetE, RetE0, dRetE, iRetE, nRetE) |
1445 ATE4 = (1-2*aCal)*ATF4 |
1677 if (nRotE > 0): PlotSubHist("RotE", aRotE, RotE0, dRotE, iRotE, nRotE) |
1446 ARE1 = ARE1o |
1678 if (nDiE > 0): PlotSubHist("DiE", aDiE, DiE0, dDiE, iDiE, nDiE) |
1447 ARE2e = aCal*ARE2ae |
1679 if (nRetO > 0): PlotSubHist("RetO", aRetO, RetO0, dRetO, iRetO, nRetO) |
1448 ARE3e = aCal*ARE3ae |
1680 if (nRotO > 0): PlotSubHist("RotO", aRotO, RotO0, dRotO, iRotO, nRotO) |
1449 ARE4 = (1-2*aCal)*ARF4 |
1681 if (nDiO > 0): PlotSubHist("DiO", aDiO, DiO0, dDiO, iDiO, nDiO) |
1450 |
1682 if (nDiC > 0): PlotSubHist("DiC", aDiC, DiC0, dDiC, iDiC, nDiC) |
1451 # rotated IinE |
1683 if (nRotC > 0): PlotSubHist("RotC", aRotC, RotC0, dRotC, iRotC, nRotC) |
1452 QinEe = C2e*QinE + S2e*UinE |
1684 if (nRetC > 0): PlotSubHist("RetC", aRetC, RetC0, dRetC, iRetC, nRetC) |
1453 UinEe = C2e*UinE - S2e*QinE |
1685 if (nTP > 0): PlotSubHist("TP", aTP, TP0, dTP, iTP, nTP) |
1454 |
1686 if (nTS > 0): PlotSubHist("TS", aTS, TS0, dTS, iTS, nTS) |
1455 # --- Calibration signals and Calibration correction K from measurements with LDRCal / aCal |
1687 if (nRP > 0): PlotSubHist("RP", aRP, RP0, dRP, iRP, nRP) |
1456 if (TypeC == 2) or (TypeC == 1): # +++++++++ rotator calibration Eq. C.4 |
1688 if (nRS > 0): PlotSubHist("RS", aRS, RS0, dRS, iRS, nRS) |
1457 AT = ATE1o*IinE + (ATE4o+aCal*ATE4a)*h*VinE |
1689 if (nRetT > 0): PlotSubHist("RetT", aRetT, RetT0, dRetT, iRetT, nRetT) |
1458 BT = aCal * (ATE3ae*QinEe - ATE2ae*h*UinEe) |
1690 if (nRetR > 0): PlotSubHist("RetR", aRetR, RetR0, dRetR, iRetR, nRetR) |
1459 AR = ARE1o*IinE + (ARE4o+aCal*ARE4a)*h*VinE |
1691 if (nERaT > 0): PlotSubHist("ERaT", aERaT, ERaT0, dERaT, iERaT, nERaT) |
1460 BR = aCal * (ARE3ae*QinEe - ARE2ae*h*UinEe) |
1692 if (nERaR > 0): PlotSubHist("ERaR", aERaR, ERaR0, dERaR, iERaR, nERaR) |
1461 |
1693 if (nRotaT > 0): PlotSubHist("RotaT", aRotaT, RotaT0, dRotaT, iRotaT, nRotaT) |
1462 # Correction paremeters for normal measurements; they are independent of LDR |
1694 if (nRotaR > 0): PlotSubHist("RotaR", aRotaR, RotaR0, dRotaR, iRotaR, nRotaR) |
1463 if (not RotationErrorEpsilonForNormalMeasurements): |
1695 if (nLDRCal > 0): PlotSubHist("LDRCal", aLDRCal, LDRCal0, dLDRCal, iLDRCal, nLDRCal) |
1464 # Stokes Input Vector before receiver optics Eq. E.19 (after atmosphere F) |
1696 |
1465 GT = ATE1o*IinE + ATE4o*h*VinE |
1697 plt.show() |
1466 GR = ARE1o*IinE + ARE4o*h*VinE |
1698 plt.close |
1467 HT = ATE2a*QinE + ATE3a*h*UinEe + ATE4a*h*VinE |
1699 ''' |
1468 HR = ARE2a*QinE + ARE3a*h*UinEe + ARE4a*h*VinE |
1700 print() |
1469 else: |
1701 #print("IT(LDRtrue) devided by IT(LDRtrue = 0.004)") |
1470 GT = ATE1o*IinE + ATE4o*h*VinE |
1702 print(" ############################################################################## ") |
1471 GR = ARE1o*IinE + ARE4o*h*VinE |
1703 print(Text1) |
1472 HT = ATE2ae*QinE + ATE3ae*h*UinEe + ATE4a*h*VinE |
1704 print() |
1473 HR = ARE2ae*QinE + ARE3ae*h*UinEe + ARE4a*h*VinE |
1705 |
1474 |
1706 iLDR = 5 |
1475 elif (TypeC == 3) or (TypeC == 4): # +++++++++ linear polariser calibration Eq. C.5 |
1707 for LDRTrue in LDRrange: |
1476 # p = +45°, m = -45° |
1708 iLDR = iLDR - 1 |
1477 AT = ATE1*IinE + ZiC*CosC*(ATE2e*QinEe + ATE4*VinE) + ATE3e*UinEe |
1709 aF11corr[iLDR,:] = aF11corr[iLDR,:] / aF11corr[0,:] - 1.0 |
1478 BT = DiC*(ATE1*UinEe + ATE3e*IinE) + ZiC*SinC*(ATE4*QinEe - ATE2e*VinE) |
1710 |
1479 AR = ARE1*IinE + ZiC*CosC*(ARE2e*QinEe + ARE4*VinE) + ARE3e*UinEe |
1711 # Plot F11 |
1480 BR = DiC*(ARE1*UinEe + ARE3e*IinE) + ZiC*SinC*(ARE4*QinEe - ARE2e*VinE) |
1712 def PlotSubHistF11(aVar, aX, X0, daX, iaX, naX): |
1481 |
1713 fig, ax = plt.subplots(nrows=1, ncols=5, sharex=True, sharey=True, figsize=(25, 2)) |
1482 # Correction paremeters for normal measurements; they are independent of LDR |
1714 iLDR = -1 |
1483 if (not RotationErrorEpsilonForNormalMeasurements): |
1715 for LDRTrue in LDRrange: |
1484 # Stokes Input Vector before receiver optics Eq. E.19 (after atmosphere F) |
1716 iLDR = iLDR + 1 |
1485 GT = ATE1o*IinE + ATE4o*VinE |
1717 |
1486 GR = ARE1o*IinE + ARE4o*VinE |
1718 #F11min[iLDR] = np.min(aF11corr[iLDR,:]) |
1487 HT = ATE2a*QinE + ATE3a*UinE + ATE4a*VinE |
1719 #F11max[iLDR] = np.max(aF11corr[iLDR,:]) |
1488 HR = ARE2a*QinE + ARE3a*UinE + ARE4a*VinE |
1720 #Rmin = F11min[iLDR] * 0.995 # np.min(aA[iLDR,:]) * 0.995 |
1489 else: |
1721 #Rmax = F11max[iLDR] * 1.005 # np.max(aA[iLDR,:]) * 1.005 |
1490 D = IinE + DiC*QinEe |
1722 |
1491 A = DiC*IinE + QinEe |
1723 #Rmin = 0.8 |
1492 B = ZiC*(CosC*UinEe + SinC*VinE) |
1724 #Rmax = 1.2 |
1493 C = -ZiC*(SinC*UinEe - CosC*VinE) |
1725 |
1494 GT = ATE1o*D + ATE4o*C |
1726 #plt.subplot(5,2,iLDR+1) |
1495 GR = ARE1o*D + ARE4o*C |
1727 plt.subplot(1,5,iLDR+1) |
1496 HT = ATE2a*A + ATE3a*B + ATE4a*C |
1728 (n, bins, patches) = plt.hist(aF11corr[iLDR,:], |
1497 HR = ARE2a*A + ARE3a*B + ARE4a*C |
1729 bins=100, log=False, |
1498 |
1730 alpha=0.5, normed=False, color = '0.5', histtype='stepfilled') |
1499 elif (TypeC == 6): # real HWP calibration +-22.5° rotated_diattenuator_X22x5deg.odt |
1731 |
1500 # p = +22.5°, m = -22.5° |
1732 for iaX in range(-naX,naX+1): |
1501 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]) |
1733 plt.hist(aF11corr[iLDR,aX == iaX], |
1502 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]) |
1734 bins=100, log=False, alpha=0.3, normed=False, histtype='stepfilled', label = str(round(X0 + iaX*daX/naX,5))) |
1503 ATEe = np.array([ATE1,ATE2e,ATE3e,ATE4]) |
1735 |
1504 AREe = np.array([ARE1,ARE2e,ARE3e,ARE4]) |
1736 if (iLDR == 2): plt.legend() |
1505 AT = np.dot(ATEe,IE1e) |
1737 |
1506 AR = np.dot(AREe,IE1e) |
1738 plt.tick_params(axis='both', labelsize=9) |
1507 BT = np.dot(ATEe,IE2e) |
1739 #plt.plot([LDRTrue, LDRTrue], [0, np.max(n)], 'r-', lw=2) |
1508 BR = np.dot(AREe,IE2e) |
1740 |
1509 |
1741 #plt.title(LID + ' ' + aVar, fontsize=18) |
1510 # Correction paremeters for normal measurements; they are independent of LDR |
1742 #plt.ylabel('frequency', fontsize=10) |
1511 if (not RotationErrorEpsilonForNormalMeasurements): # calibrator taken out |
1743 #plt.xlabel('LDRcorr', fontsize=10) |
1512 GT = ATE1o*IinE + ATE4o*VinE |
1744 #fig.tight_layout() |
1513 GR = ARE1o*IinE + ARE4o*VinE |
1745 fig.suptitle(LID + ' ' + str(Type[TypeC]) + ' ' + str(Loc[LocC]) + ' - ' + aVar, fontsize=14, y=1.05) |
1514 HT = ATE2a*QinE + ATE3a*UinE + ATE4a*VinE |
1746 #plt.show() |
1515 HR = ARE2a*QinE + ARE3a*UinE + ARE4a*VinE |
1747 #fig.savefig(LID + '_' + aVar + '.png', dpi=150, bbox_inches='tight', pad_inches=0) |
1516 else: |
1748 #plt.close |
1517 D = IinE + DiC*QinEe |
1749 return |
1518 A = DiC*IinE + QinEe |
1750 |
1519 B = ZiC*(CosC*UinEe + SinC*VinE) |
1751 if (nRotL > 0): PlotSubHistF11("RotL", aRotL, RotL0, dRotL, iRotL, nRotL) |
1520 C = -ZiC*(SinC*UinEe - CosC*VinE) |
1752 if (nRetE > 0): PlotSubHistF11("RetE", aRetE, RetE0, dRetE, iRetE, nRetE) |
1521 GT = ATE1o*D + ATE4o*C |
1753 if (nRotE > 0): PlotSubHistF11("RotE", aRotE, RotE0, dRotE, iRotE, nRotE) |
1522 GR = ARE1o*D + ARE4o*C |
1754 if (nDiE > 0): PlotSubHistF11("DiE", aDiE, DiE0, dDiE, iDiE, nDiE) |
1523 HT = ATE2a*A + ATE3a*B + ATE4a*C |
1755 if (nRetO > 0): PlotSubHistF11("RetO", aRetO, RetO0, dRetO, iRetO, nRetO) |
1524 HR = ARE2a*A + ARE3a*B + ARE4a*C |
1756 if (nRotO > 0): PlotSubHistF11("RotO", aRotO, RotO0, dRotO, iRotO, nRotO) |
1525 |
1757 if (nDiO > 0): PlotSubHistF11("DiO", aDiO, DiO0, dDiO, iDiO, nDiO) |
1526 else: |
1758 if (nDiC > 0): PlotSubHistF11("DiC", aDiC, DiC0, dDiC, iDiC, nDiC) |
1527 print('Calibrator not implemented yet') |
1759 if (nRotC > 0): PlotSubHistF11("RotC", aRotC, RotC0, dRotC, iRotC, nRotC) |
1528 sys.exit() |
1760 if (nRetC > 0): PlotSubHistF11("RetC", aRetC, RetC0, dRetC, iRetC, nRetC) |
1529 |
1761 if (nTP > 0): PlotSubHistF11("TP", aTP, TP0, dTP, iTP, nTP) |
1530 # Calibration signals with aCal => Determination of the correction K of the real calibration factor |
1762 if (nTS > 0): PlotSubHistF11("TS", aTS, TS0, dTS, iTS, nTS) |
1531 IoutTp = TaT*TiT*TiO*TiE*(AT + BT) |
1763 if (nRP > 0): PlotSubHistF11("RP", aRP, RP0, dRP, iRP, nRP) |
1532 IoutTm = TaT*TiT*TiO*TiE*(AT - BT) |
1764 if (nRS > 0): PlotSubHistF11("RS", aRS, RS0, dRS, iRS, nRS) |
1533 IoutRp = TaR*TiR*TiO*TiE*(AR + BR) |
1765 if (nRetT > 0): PlotSubHistF11("RetT", aRetT, RetT0, dRetT, iRetT, nRetT) |
1534 IoutRm = TaR*TiR*TiO*TiE*(AR - BR) |
1766 if (nRetR > 0): PlotSubHistF11("RetR", aRetR, RetR0, dRetR, iRetR, nRetR) |
1535 # --- Results and Corrections; electronic etaR and etaT are assumed to be 1 |
1767 if (nERaT > 0): PlotSubHistF11("ERaT", aERaT, ERaT0, dERaT, iERaT, nERaT) |
1536 #Eta = TiR/TiT # Eta = Eta*/K Eq. 84 |
1768 if (nERaR > 0): PlotSubHistF11("ERaR", aERaR, ERaR0, dERaR, iERaR, nERaR) |
1537 Etapx = IoutRp/IoutTp |
1769 if (nRotaT > 0): PlotSubHistF11("RotaT", aRotaT, RotaT0, dRotaT, iRotaT, nRotaT) |
1538 Etamx = IoutRm/IoutTm |
1770 if (nRotaR > 0): PlotSubHistF11("RotaR", aRotaR, RotaR0, dRotaR, iRotaR, nRotaR) |
1539 Etax = (Etapx*Etamx)**0.5 |
1771 if (nLDRCal > 0): PlotSubHistF11("LDRCal", aLDRCal, LDRCal0, dLDRCal, iLDRCal, nLDRCal) |
1540 K = Etax / Eta0 |
1772 |
1541 #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)) |
1773 plt.show() |
1542 #print("{0:6.3f},{1:6.3f},{2:6.3f},{3:6.3f}".format(DiC, ZiC, Kp, Km)) |
1774 plt.close |
1543 |
1775 ''' |
1544 # For comparison with Volkers Libreoffice Müller Matrix spreadsheet |
1776 |
1545 #Eta_test_p = (IoutRp/IoutTp) |
1777 ''' |
1546 #Eta_test_m = (IoutRm/IoutTm) |
1778 # only histogram |
1547 #Eta_test = (Eta_test_p*Eta_test_m)**0.5 |
1779 #print("******************* " + aVar + " *******************") |
1548 |
1780 fig, ax = plt.subplots(nrows=5, ncols=2, sharex=True, sharey=True, figsize=(10, 10)) |
1549 # ************************************************************************* |
|
1550 iLDR = -1 |
|
1551 for LDRTrue in LDRrange: |
|
1552 iLDR = iLDR + 1 |
|
1553 atrue = (1-LDRTrue)/(1+LDRTrue) |
|
1554 # ----- Forward simulated signals and LDRsim with atrue; from input file |
|
1555 It = TaT*TiT*TiO*TiE*(GT+atrue*HT) # TaT*TiT*TiC*TiO*IinL*(GT+atrue*HT) |
|
1556 Ir = TaR*TiR*TiO*TiE*(GR+atrue*HR) # TaR*TiR*TiC*TiO*IinL*(GR+atrue*HR) |
|
1557 |
|
1558 # LDRsim = 1/Eta*Ir/It # simulated LDR* with Y from input file |
|
1559 LDRsim = Ir/It # simulated uncorrected LDR with Y from input file |
|
1560 ''' |
|
1561 if Y == 1.: |
|
1562 LDRsimx = LDRsim |
|
1563 LDRsimx2 = LDRsim2 |
|
1564 else: |
|
1565 LDRsimx = 1./LDRsim |
|
1566 LDRsimx2 = 1./LDRsim2 |
|
1567 ''' |
|
1568 # ----- Backward correction |
|
1569 # Corrected LDRCorr from forward simulated LDRsim (atrue) with assumed true G0,H0,K0 |
|
1570 LDRCorr = (LDRsim*K0/Etax*(GT0+HT0)-(GR0+HR0))/((GR0-HR0)-LDRsim*K0/Etax*(GT0-HT0)) |
|
1571 |
|
1572 # -- F11corr from It and Ir and calibration EtaX |
|
1573 Text1 = "!!! EXPERIMENTAL !!! F11corr from It and Ir with calibration EtaX: x-axis: F11corr(LDRtrue) / F11corr(LDRtrue = 0.004) - 1" |
|
1574 F11corr = 1/(TiO*TiE)*((HR0*Etax/K0*It/TTa-HT0*Ir/TRa)/(HR0*GT0-HT0*GR0)) # IL = 1 Eq.(64) |
|
1575 |
|
1576 #Text1 = "F11corr from It and Ir without corrections but with calibration EtaX: x-axis: F11corr(LDRtrue) devided by F11corr(LDRtrue = 0.004)" |
|
1577 #F11corr = 0.5/(TiO*TiE)*(Etax*It/TTa+Ir/TRa) # IL = 1 Eq.(64) |
|
1578 |
|
1579 # -- It from It only with atrue without corrections - for BERTHA (and PollyXTs) |
|
1580 #Text1 = " x-axis: IT(LDRtrue) / IT(LDRtrue = 0.004) - 1" |
|
1581 #F11corr = It/(TaT*TiT*TiO*TiE) #/(TaT*TiT*TiO*TiE*(GT0+atrue*HT0)) |
|
1582 # !!! see below line 1673ff |
|
1583 |
|
1584 aF11corr[iLDR,iN] = F11corr |
|
1585 aA[iLDR,iN] = LDRCorr |
|
1586 |
|
1587 aX[0,iN] = GR |
|
1588 aX[1,iN] = GT |
|
1589 aX[2,iN] = HR |
|
1590 aX[3,iN] = HT |
|
1591 aX[4,iN] = K |
|
1592 |
|
1593 aLDRCal[iN] = iLDRCal |
|
1594 aERaT[iN] = iERaT |
|
1595 aERaR[iN] = iERaR |
|
1596 aRotaT[iN] = iRotaT |
|
1597 aRotaR[iN] = iRotaR |
|
1598 aRetT[iN] = iRetT |
|
1599 aRetR[iN] = iRetR |
|
1600 |
|
1601 aRotL[iN] = iRotL |
|
1602 aRotE[iN] = iRotE |
|
1603 aRetE[iN] = iRetE |
|
1604 aRotO[iN] = iRotO |
|
1605 aRetO[iN] = iRetO |
|
1606 aRotC[iN] = iRotC |
|
1607 aRetC[iN] = iRetC |
|
1608 aDiO[iN] = iDiO |
|
1609 aDiE[iN] = iDiE |
|
1610 aDiC[iN] = iDiC |
|
1611 aTP[iN] = iTP |
|
1612 aTS[iN] = iTS |
|
1613 aRP[iN] = iRP |
|
1614 aRS[iN] = iRS |
|
1615 |
|
1616 # --- END loop |
|
1617 btime = clock() |
|
1618 print("\r done in ", "{0:5.0f}".format(btime-atime), "sec") #, end="\r") |
|
1619 |
|
1620 # --- Plot ----------------------------------------------------------------- |
|
1621 if (sns_loaded): |
|
1622 sns.set_style("whitegrid") |
|
1623 sns.set_palette("bright", 6) |
|
1624 |
|
1625 ''' |
|
1626 fig2 = plt.figure() |
|
1627 plt.plot(aA[2,:],'b.') |
|
1628 plt.plot(aA[3,:],'r.') |
|
1629 plt.plot(aA[4,:],'g.') |
|
1630 #plt.plot(aA[6,:],'c.') |
|
1631 plt.show |
|
1632 ''' |
|
1633 # Plot LDR |
|
1634 def PlotSubHist(aVar, aX, X0, daX, iaX, naX): |
|
1635 fig, ax = plt.subplots(nrows=1, ncols=5, sharex=True, sharey=True, figsize=(25, 2)) |
|
1636 iLDR = -1 |
1781 iLDR = -1 |
1637 for LDRTrue in LDRrange: |
1782 for LDRTrue in LDRrange: |
1638 iLDR = iLDR + 1 |
1783 iLDR = iLDR + 1 |
1639 |
|
1640 LDRmin[iLDR] = np.min(aA[iLDR,:]) |
1784 LDRmin[iLDR] = np.min(aA[iLDR,:]) |
1641 LDRmax[iLDR] = np.max(aA[iLDR,:]) |
1785 LDRmax[iLDR] = np.max(aA[iLDR,:]) |
1642 Rmin = LDRmin[iLDR] * 0.995 # np.min(aA[iLDR,:]) * 0.995 |
1786 Rmin = np.min(aA[iLDR,:]) * 0.999 |
1643 Rmax = LDRmax[iLDR] * 1.005 # np.max(aA[iLDR,:]) * 1.005 |
1787 Rmax = np.max(aA[iLDR,:]) * 1.001 |
1644 |
1788 plt.subplot(5,2,iLDR+1) |
1645 #plt.subplot(5,2,iLDR+1) |
|
1646 plt.subplot(1,5,iLDR+1) |
|
1647 (n, bins, patches) = plt.hist(aA[iLDR,:], |
1789 (n, bins, patches) = plt.hist(aA[iLDR,:], |
1648 bins=100, log=False, |
|
1649 range=[Rmin, Rmax], |
1790 range=[Rmin, Rmax], |
1650 alpha=0.5, normed=False, color = '0.5', histtype='stepfilled') |
1791 bins=200, log=False, alpha=0.2, normed=False, color = '0.5', histtype='stepfilled') |
1651 |
|
1652 for iaX in range(-naX,naX+1): |
|
1653 plt.hist(aA[iLDR,aX == iaX], |
|
1654 range=[Rmin, Rmax], |
|
1655 bins=100, log=False, alpha=0.3, normed=False, histtype='stepfilled', label = str(round(X0 + iaX*daX/naX,5))) |
|
1656 |
|
1657 if (iLDR == 2): plt.legend() |
|
1658 |
|
1659 plt.tick_params(axis='both', labelsize=9) |
1792 plt.tick_params(axis='both', labelsize=9) |
1660 plt.plot([LDRTrue, LDRTrue], [0, np.max(n)], 'r-', lw=2) |
1793 plt.plot([LDRTrue, LDRTrue], [0, np.max(n)], 'r-', lw=2) |
1661 |
1794 plt.show() |
1662 #plt.title(LID + ' ' + aVar, fontsize=18) |
1795 plt.close |
1663 #plt.ylabel('frequency', fontsize=10) |
1796 ''' |
1664 #plt.xlabel('LDRcorr', fontsize=10) |
1797 |
1665 #fig.tight_layout() |
1798 # --- Plot LDRmin, LDRmax |
1666 fig.suptitle(LID + ' ' + str(Type[TypeC]) + ' ' + str(Loc[LocC]) + ' - ' + aVar, fontsize=14, y=1.05) |
1799 fig2 = plt.figure() |
1667 #plt.show() |
1800 plt.plot(LDRrange,LDRmax-LDRrange, linewidth=2.0, color='b') |
1668 #fig.savefig(LID + '_' + aVar + '.png', dpi=150, bbox_inches='tight', pad_inches=0) |
1801 plt.plot(LDRrange,LDRmin-LDRrange, linewidth=2.0, color='g') |
1669 #plt.close |
1802 |
1670 return |
1803 plt.xlabel('LDRtrue', fontsize=18) |
1671 |
1804 plt.ylabel('LDRTrue-LDRmin, LDRTrue-LDRmax', fontsize=14) |
1672 if (nRotL > 0): PlotSubHist("RotL", aRotL, RotL0, dRotL, iRotL, nRotL) |
1805 plt.title(LID + ' ' + str(Type[TypeC]) + ' ' + str(Loc[LocC]), fontsize=18) |
1673 if (nRetE > 0): PlotSubHist("RetE", aRetE, RetE0, dRetE, iRetE, nRetE) |
1806 #plt.ylimit(-0.07, 0.07) |
1674 if (nRotE > 0): PlotSubHist("RotE", aRotE, RotE0, dRotE, iRotE, nRotE) |
1807 plt.show() |
1675 if (nDiE > 0): PlotSubHist("DiE", aDiE, DiE0, dDiE, iDiE, nDiE) |
1808 plt.close |
1676 if (nRetO > 0): PlotSubHist("RetO", aRetO, RetO0, dRetO, iRetO, nRetO) |
1809 |
1677 if (nRotO > 0): PlotSubHist("RotO", aRotO, RotO0, dRotO, iRotO, nRotO) |
1810 # --- Save LDRmin, LDRmax to file |
1678 if (nDiO > 0): PlotSubHist("DiO", aDiO, DiO0, dDiO, iDiO, nDiO) |
1811 # http://stackoverflow.com/questions/4675728/redirect-stdout-to-a-file-in-python |
1679 if (nDiC > 0): PlotSubHist("DiC", aDiC, DiC0, dDiC, iDiC, nDiC) |
1812 with open('output_files\LDR_min_max_' + LID + '.dat', 'w') as f: |
1680 if (nRotC > 0): PlotSubHist("RotC", aRotC, RotC0, dRotC, iRotC, nRotC) |
1813 with redirect_stdout(f): |
1681 if (nRetC > 0): PlotSubHist("RetC", aRetC, RetC0, dRetC, iRetC, nRetC) |
1814 print(LID) |
1682 if (nTP > 0): PlotSubHist("TP", aTP, TP0, dTP, iTP, nTP) |
1815 print("LDRtrue, LDRmin, LDRmax") |
1683 if (nTS > 0): PlotSubHist("TS", aTS, TS0, dTS, iTS, nTS) |
1816 for i in range(len(LDRrange)): |
1684 if (nRP > 0): PlotSubHist("RP", aRP, RP0, dRP, iRP, nRP) |
1817 print("{0:7.4f},{1:7.4f},{2:7.4f}".format(LDRrange[i], LDRmin[i], LDRmax[i])) |
1685 if (nRS > 0): PlotSubHist("RS", aRS, RS0, dRS, iRS, nRS) |
1818 |
1686 if (nRetT > 0): PlotSubHist("RetT", aRetT, RetT0, dRetT, iRetT, nRetT) |
1819 ''' |
1687 if (nRetR > 0): PlotSubHist("RetR", aRetR, RetR0, dRetR, iRetR, nRetR) |
1820 # --- Plot K over LDRCal |
1688 if (nERaT > 0): PlotSubHist("ERaT", aERaT, ERaT0, dERaT, iERaT, nERaT) |
1821 fig3 = plt.figure() |
1689 if (nERaR > 0): PlotSubHist("ERaR", aERaR, ERaR0, dERaR, iERaR, nERaR) |
1822 plt.plot(LDRCal0+aLDRCal*dLDRCal/nLDRCal,aX[4,:], linewidth=2.0, color='b') |
1690 if (nRotaT > 0): PlotSubHist("RotaT", aRotaT, RotaT0, dRotaT, iRotaT, nRotaT) |
1823 |
1691 if (nRotaR > 0): PlotSubHist("RotaR", aRotaR, RotaR0, dRotaR, iRotaR, nRotaR) |
1824 plt.xlabel('LDRCal', fontsize=18) |
1692 if (nLDRCal > 0): PlotSubHist("LDRCal", aLDRCal, LDRCal0, dLDRCal, iLDRCal, nLDRCal) |
1825 plt.ylabel('K', fontsize=14) |
1693 |
1826 plt.title(LID, fontsize=18) |
1694 plt.show() |
1827 plt.show() |
1695 plt.close |
1828 plt.close |
1696 |
1829 ''' |
1697 print() |
|
1698 #print("IT(LDRtrue) devided by IT(LDRtrue = 0.004)") |
|
1699 print(" ############################################################################## ") |
|
1700 print(Text1) |
|
1701 print() |
|
1702 |
|
1703 iLDR = 5 |
|
1704 for LDRTrue in LDRrange: |
|
1705 iLDR = iLDR - 1 |
|
1706 aF11corr[iLDR,:] = aF11corr[iLDR,:] / aF11corr[0,:] - 1.0 |
|
1707 |
|
1708 # Plot F11 |
|
1709 def PlotSubHistF11(aVar, aX, X0, daX, iaX, naX): |
|
1710 fig, ax = plt.subplots(nrows=1, ncols=5, sharex=True, sharey=True, figsize=(25, 2)) |
|
1711 iLDR = -1 |
|
1712 for LDRTrue in LDRrange: |
|
1713 iLDR = iLDR + 1 |
|
1714 |
|
1715 ''' |
|
1716 F11min[iLDR] = np.min(aF11corr[iLDR,:]) |
|
1717 F11max[iLDR] = np.max(aF11corr[iLDR,:]) |
|
1718 Rmin = F11min[iLDR] * 0.995 # np.min(aA[iLDR,:]) * 0.995 |
|
1719 Rmax = F11max[iLDR] * 1.005 # np.max(aA[iLDR,:]) * 1.005 |
|
1720 ''' |
|
1721 #Rmin = 0.8 |
|
1722 #Rmax = 1.2 |
|
1723 |
|
1724 #plt.subplot(5,2,iLDR+1) |
|
1725 plt.subplot(1,5,iLDR+1) |
|
1726 (n, bins, patches) = plt.hist(aF11corr[iLDR,:], |
|
1727 bins=100, log=False, |
|
1728 alpha=0.5, normed=False, color = '0.5', histtype='stepfilled') |
|
1729 |
|
1730 for iaX in range(-naX,naX+1): |
|
1731 plt.hist(aF11corr[iLDR,aX == iaX], |
|
1732 bins=100, log=False, alpha=0.3, normed=False, histtype='stepfilled', label = str(round(X0 + iaX*daX/naX,5))) |
|
1733 |
|
1734 if (iLDR == 2): plt.legend() |
|
1735 |
|
1736 plt.tick_params(axis='both', labelsize=9) |
|
1737 #plt.plot([LDRTrue, LDRTrue], [0, np.max(n)], 'r-', lw=2) |
|
1738 |
|
1739 #plt.title(LID + ' ' + aVar, fontsize=18) |
|
1740 #plt.ylabel('frequency', fontsize=10) |
|
1741 #plt.xlabel('LDRcorr', fontsize=10) |
|
1742 #fig.tight_layout() |
|
1743 fig.suptitle(LID + ' ' + str(Type[TypeC]) + ' ' + str(Loc[LocC]) + ' - ' + aVar, fontsize=14, y=1.05) |
|
1744 #plt.show() |
|
1745 #fig.savefig(LID + '_' + aVar + '.png', dpi=150, bbox_inches='tight', pad_inches=0) |
|
1746 #plt.close |
|
1747 return |
|
1748 |
|
1749 if (nRotL > 0): PlotSubHistF11("RotL", aRotL, RotL0, dRotL, iRotL, nRotL) |
|
1750 if (nRetE > 0): PlotSubHistF11("RetE", aRetE, RetE0, dRetE, iRetE, nRetE) |
|
1751 if (nRotE > 0): PlotSubHistF11("RotE", aRotE, RotE0, dRotE, iRotE, nRotE) |
|
1752 if (nDiE > 0): PlotSubHistF11("DiE", aDiE, DiE0, dDiE, iDiE, nDiE) |
|
1753 if (nRetO > 0): PlotSubHistF11("RetO", aRetO, RetO0, dRetO, iRetO, nRetO) |
|
1754 if (nRotO > 0): PlotSubHistF11("RotO", aRotO, RotO0, dRotO, iRotO, nRotO) |
|
1755 if (nDiO > 0): PlotSubHistF11("DiO", aDiO, DiO0, dDiO, iDiO, nDiO) |
|
1756 if (nDiC > 0): PlotSubHistF11("DiC", aDiC, DiC0, dDiC, iDiC, nDiC) |
|
1757 if (nRotC > 0): PlotSubHistF11("RotC", aRotC, RotC0, dRotC, iRotC, nRotC) |
|
1758 if (nRetC > 0): PlotSubHistF11("RetC", aRetC, RetC0, dRetC, iRetC, nRetC) |
|
1759 if (nTP > 0): PlotSubHistF11("TP", aTP, TP0, dTP, iTP, nTP) |
|
1760 if (nTS > 0): PlotSubHistF11("TS", aTS, TS0, dTS, iTS, nTS) |
|
1761 if (nRP > 0): PlotSubHistF11("RP", aRP, RP0, dRP, iRP, nRP) |
|
1762 if (nRS > 0): PlotSubHistF11("RS", aRS, RS0, dRS, iRS, nRS) |
|
1763 if (nRetT > 0): PlotSubHistF11("RetT", aRetT, RetT0, dRetT, iRetT, nRetT) |
|
1764 if (nRetR > 0): PlotSubHistF11("RetR", aRetR, RetR0, dRetR, iRetR, nRetR) |
|
1765 if (nERaT > 0): PlotSubHistF11("ERaT", aERaT, ERaT0, dERaT, iERaT, nERaT) |
|
1766 if (nERaR > 0): PlotSubHistF11("ERaR", aERaR, ERaR0, dERaR, iERaR, nERaR) |
|
1767 if (nRotaT > 0): PlotSubHistF11("RotaT", aRotaT, RotaT0, dRotaT, iRotaT, nRotaT) |
|
1768 if (nRotaR > 0): PlotSubHistF11("RotaR", aRotaR, RotaR0, dRotaR, iRotaR, nRotaR) |
|
1769 if (nLDRCal > 0): PlotSubHistF11("LDRCal", aLDRCal, LDRCal0, dLDRCal, iLDRCal, nLDRCal) |
|
1770 |
|
1771 plt.show() |
|
1772 plt.close |
|
1773 ''' |
|
1774 # only histogram |
|
1775 #print("******************* " + aVar + " *******************") |
|
1776 fig, ax = plt.subplots(nrows=5, ncols=2, sharex=True, sharey=True, figsize=(10, 10)) |
|
1777 iLDR = -1 |
|
1778 for LDRTrue in LDRrange: |
|
1779 iLDR = iLDR + 1 |
|
1780 LDRmin[iLDR] = np.min(aA[iLDR,:]) |
|
1781 LDRmax[iLDR] = np.max(aA[iLDR,:]) |
|
1782 Rmin = np.min(aA[iLDR,:]) * 0.999 |
|
1783 Rmax = np.max(aA[iLDR,:]) * 1.001 |
|
1784 plt.subplot(5,2,iLDR+1) |
|
1785 (n, bins, patches) = plt.hist(aA[iLDR,:], |
|
1786 range=[Rmin, Rmax], |
|
1787 bins=200, log=False, alpha=0.2, normed=False, color = '0.5', histtype='stepfilled') |
|
1788 plt.tick_params(axis='both', labelsize=9) |
|
1789 plt.plot([LDRTrue, LDRTrue], [0, np.max(n)], 'r-', lw=2) |
|
1790 plt.show() |
|
1791 plt.close |
|
1792 ''' |
|
1793 |
|
1794 # --- Plot LDRmin, LDRmax |
|
1795 fig2 = plt.figure() |
|
1796 plt.plot(LDRrange,LDRmax-LDRrange, linewidth=2.0, color='b') |
|
1797 plt.plot(LDRrange,LDRmin-LDRrange, linewidth=2.0, color='g') |
|
1798 |
|
1799 plt.xlabel('LDRtrue', fontsize=18) |
|
1800 plt.ylabel('LDRTrue-LDRmin, LDRTrue-LDRmax', fontsize=14) |
|
1801 plt.title(LID + ' ' + str(Type[TypeC]) + ' ' + str(Loc[LocC]), fontsize=18) |
|
1802 #plt.ylimit(-0.07, 0.07) |
|
1803 plt.show() |
|
1804 plt.close |
|
1805 |
|
1806 # --- Save LDRmin, LDRmax to file |
|
1807 # http://stackoverflow.com/questions/4675728/redirect-stdout-to-a-file-in-python |
|
1808 with open('output_files\LDR_min_max_' + LID + '.dat', 'w') as f: |
|
1809 with redirect_stdout(f): |
|
1810 print(LID) |
|
1811 print("LDRtrue, LDRmin, LDRmax") |
|
1812 for i in range(len(LDRrange)): |
|
1813 print("{0:7.4f},{1:7.4f},{2:7.4f}".format(LDRrange[i], LDRmin[i], LDRmax[i])) |
|
1814 |
|
1815 ''' |
|
1816 # --- Plot K over LDRCal |
|
1817 fig3 = plt.figure() |
|
1818 plt.plot(LDRCal0+aLDRCal*dLDRCal/nLDRCal,aX[4,:], linewidth=2.0, color='b') |
|
1819 |
|
1820 plt.xlabel('LDRCal', fontsize=18) |
|
1821 plt.ylabel('K', fontsize=14) |
|
1822 plt.title(LID, fontsize=18) |
|
1823 plt.show() |
|
1824 plt.close |
|
1825 ''' |
|
1826 |
1830 |
1827 # Additional plot routines ======> |
1831 # Additional plot routines ======> |
1828 ''' |
1832 ''' |
1829 #****************************************************************************** |
1833 #****************************************************************************** |
1830 # 1. Plot LDRcorrected - LDR(measured Icross/Iparallel) |
1834 # 1. Plot LDRcorrected - LDR(measured Icross/Iparallel) |