def nut_diff_stats(DIF_file):
'''
'''
# Load data
ep_mjd, dX, dXerr, dY, dYerr = get_res_nut(DIF_file)
epo = (ep_mjd - 51544.5) / 365.25 + 2000.0
data_dir, data_fil = path.split(DIF_file)
# Plot
# plot_res(epo, dX, "dX", "mas", data_dir)
# plot_res(epo, dY, "dY", "mas", data_dir)
errorbarplot_res(epo, dX, dXerr, "X_p", "mas", data_dir, label="dX")
errorbarplot_res(epo, dY, dYerr, "Y_p", "mas", data_dir, label="dY")
# Statistical calculation
LOG_file = data_fil.replace(".nut_c04_dif", "_nut_c04_dif.log")
flog = open("%s/logs/%s" % (data_dir, LOG_file), "w")
# print("dX (mas):", file=flog)
# stats_calc(epo, dX, dXerr, flog)
# print("dY (mas):", file=flog)
# stats_calc(epo, dY, dYerr, flog)
# Modified in 30 Jan 2018
print("dX (uas):", file=flog)
stats_calc(epo, dX * 1000, dXerr * 1000, flog)
print("dY (uas):", file=flog)
stats_calc(epo, dY * 1000, dYerr * 1000, flog)
flog.close()
# Post-1993.0 data
tb = 1993.0
[epo_ts, dX_ts, dXerr_ts, dY_ts,
dYerr_ts] = nut_cut(epo, dX, dXerr, dY, dYerr, tb)
# Statistical calculation
LOG_file = data_fil.replace(".nut_c04_dif",
"_nut_c04_post%.0f_dif.log" % tb)
flog = open("%s/logs/%s" % (data_dir, LOG_file), "w")
print("Use post %.1f data" % tb, file=flog)
print("dX (uas):", file=flog)
stats_calc(epo_ts, dX_ts * 1000, dXerr_ts * 1000, flog)
print("dY (uas):", file=flog)
stats_calc(epo_ts, dY_ts * 1000, dYerr_ts * 1000, flog)
flog.close()
def nut_diff_stats(DIF_file, lab):
'''
'''
# Load data
ep_mjd, dX, dXerr, dY, dYerr = get_res_nut(DIF_file)
epo = (ep_mjd - 51544.5) / 365.25 + 2000.0
data_dir, data_fil = path.split(DIF_file)
# Statistical calculation
flog = open("%s/%s_nut.log" % (data_dir, lab), "w")
# Statistics for all-time series
print("For all-time:", file=flog)
print("dX (uas):", file=flog)
stats_calc(epo, dX, dXerr, flog)
print("dY: (uas)", file=flog)
stats_calc(epo, dY, dYerr, flog)
# Statistics for post-1995.0 series
splitpoint = 1995.
print("For post-%.1f:" % splitpoint, file=flog)
con = (epo >= splitpoint)
epon = epo[con]
dXn = dX[con]
dXerrn = dXerr[con]
dYn = dY[con]
dYerrn = dYerr[con]
print("dX (uas):", file=flog)
slope, intercept = stats_calc(epon, dXn, dXerrn, flog)
errorbarplot_res(epo, dX, dXerr, "$\Delta$dX", "$\mu$as",
path.dirname(data_dir), "%s_ddX" % lab, slope, intercept)
print("dY: (uas)", file=flog)
slope, intercept = stats_calc(epon, dYn, dYerrn, flog)
errorbarplot_res(epo, dY, dYerr, "$\Delta$dY", "$\mu$as",
path.dirname(data_dir), "%s_ddY" % lab, slope, intercept)
# Plot
# plot_res(epo, dX, "dX", "mas", data_dir)
# plot_res(epo, dY, "dY", "mas", data_dir)
# errorbarplot_res(epo, dX, dXerr, "$\Delta$dX", "$\mu$as",
# path.dirname(data_dir), "%s_ddX" % lab)
# errorbarplot_res(epo, dY, dYerr, "$\Delta$dY", "$\mu$as",
# path.dirname(data_dir), "%s_ddY" % lab)
flog.close()
def eop_diff_stats(DIF_file, lab):
'''
'''
data_dir, data_fil = path.split(DIF_file)
# Load data
ep_mjd, dX, dXerr, dY, dYerr, dU, dUerr = get_res_eop(DIF_file)
epo = (ep_mjd - 51544.5) / 365.25 + 2000.0
# Plot
# plot_res(epo, dX, "Xp", "mas", data_dir)
# plot_res(epo, dY, "Yp", "mas", data_dir)
# plot_res(epo, dU, "UT1-UTC", "ms", data_dir)
# errorbarplot_res(epo, dX, dXerr, "$\Delta$Xp", "uas",
# path.dirname(data_dir), "%s_dXp" % lab)
# errorbarplot_res(epo, dY, dYerr, "$\Delta$Yp", "uas",
# path.dirname(data_dir), "%s_dYp" % lab)
# errorbarplot_res(epo, dU, dUerr, "$\Delta$UT1-UTC", "ms",
# path.dirname(data_dir), "%s_dU" % lab)
# errorbarplot_res(epo, dX, dXerr, "$\Delta$Xp", "uas",
# path.dirname(data_dir), "%s_dXp" % lab,
# -0.241, 1.796)
# errorbarplot_res(epo, dY, dYerr, "$\Delta$Yp", "uas",
# path.dirname(data_dir), "%s_dYp" % lab,
# 0.097, 2.172)
# errorbarplot_res(epo, dU, dUerr, "$\Delta$UT1-UTC", "ms",
# path.dirname(data_dir), "%s_dU" % lab,
# 9.492e-3, 116.766e-3)
# Statistical calculation
flog = open("%s/%s_eop.log" % (data_dir, lab), "w")
# Statistics for all-time series
print("For all-time:", file=flog)
print("X pole (uas):", file=flog)
print("Y pole: (uas)", file=flog)
stats_calc(epo, dY, dYerr, flog)
print("UT1-UTC (us):", file=flog)
stats_calc(epo, dU * 1000, dUerr * 1000, flog)
# Statistics for post-1995.0 series
splitpoint = 1995.
print("For post-%.1f:" % splitpoint, file=flog)
con = (epo >= splitpoint)
epon = epo[con]
dXn = dX[con]
dXerrn = dXerr[con]
dYn = dY[con]
dYerrn = dYerr[con]
dUn = dU[con]
dUerrn = dUerr[con]
print("X pole (uas):", file=flog)
stats_calc(epon, dXn, dXerrn, flog)
slope, intercept = stats_calc(epo, dX, dXerr, flog)
errorbarplot_res(epo, dX, dXerr, "$\Delta$Xp", "$\mu$as",
path.dirname(data_dir), "%s_dXp" % lab, slope, intercept)
print("Y pole: (uas)", file=flog)
slope, intercept = stats_calc(epon, dYn, dYerrn, flog)
errorbarplot_res(epo, dY, dYerr, "$\Delta$Yp", "$\mu$as",
path.dirname(data_dir), "%s_dYp" % lab, slope, intercept)
print("UT1-UTC (us):", file=flog)
# slope, intercept = stats_calc(epon, dUn * 1000, dUerrn * 1000,
# flog)
# It seems no need to multiply a 1000 because the unit for UT1 is
# already uas.
slope, intercept = stats_calc(epon, dUn, dUerrn, flog)
errorbarplot_res(epo, dU, dUerr, "$\Delta$UT1-UTC", "ms",
path.dirname(data_dir), "%s_dU" % lab, slope / 1.e3,
intercept / 1.e3)
flog.close()
def eop_diff_stats(DIF_file):
'''
'''
data_dir, data_fil = path.split(DIF_file)
# Load data
ep_mjd, Xp, Xperr, Yp, Yperr, UT, UTerr = get_res_eop(DIF_file)
epo = (ep_mjd - 51544.5) / 365.25 + 2000.0
# Plot
# plot_res(epo, Xp, "Xp", "mas", data_dir)
# plot_res(epo, Yp, "Yp", "mas", data_dir)
# plot_res(epo, UT, "UT1-UTC", "ms", data_dir)
errorbarplot_res(epo, Xp, Xperr, "Xp", "mas", data_dir, label='Xp')
errorbarplot_res(epo, Yp, Yperr, "Yp", "mas", data_dir, label='Yp')
errorbarplot_res(epo, UT, UTerr, "UT1-UTC", "ms", data_dir, label='UT1')
# Statistical calculation
LOG_file = data_fil.replace(".eop_c04_dif", "_eop_c04_dif.log")
flog = open("%s/logs/%s" % (data_dir, LOG_file), "w")
# print("X pole (mas):", file=flog)
# stats_calc(epo, Xp, Xperr, flog)
# print("Y pole: (mas)", file=flog)
# stats_calc(epo, Yp, Yperr, flog)
# Modified in 30 Jan 2018
print("X pole (uas):", file=flog)
stats_calc(epo, Xp * 1000, Xperr * 1000, flog)
print("Y pole (uas):", file=flog)
stats_calc(epo, Yp * 1000, Yperr * 1000, flog)
print("UT1-UTC (us):", file=flog)
stats_calc(epo, UT * 1000, UTerr * 1000, flog)
flog.close()
# Post-1993.0 data
tb = 1993.0
[epo_ts, Xp_ts, Xperr_ts, Yp_ts, Yperr_ts, UT_ts,
UTerr_ts] = eop_cut(epo, Xp, Xperr, Yp, Yperr, UT, UTerr, tb)
# Statistical calculation
LOG_file = data_fil.replace(".eop_c04_dif",
"_eop_c04_post%.0f_dif.log" % tb)
flog = open("%s/logs/%s" % (data_dir, LOG_file), "w")
print("Use post %.1f data" % tb, file=flog)
print("X pole (uas):", file=flog)
stats_calc(epo_ts, Xp_ts * 1000, Xperr_ts * 1000, flog)
print("Y pole (uas):", file=flog)
stats_calc(epo_ts, Yp_ts * 1000, Yperr_ts * 1000, flog)
print("UT1-UTC (us):", file=flog)
stats_calc(epo_ts, UT_ts * 1000, UTerr_ts * 1000, flog)
flog.close()
def nutation_offset_stat(EOB_file):
'''
'''
# Load data
# dbname, epo, obsnum, dX, dXerr, dY, dYerr = read_nut(NUT_file)
[
dbname, obsnum, tag_eop, Xp, Xp_err, Yp, Yp_err, U, U_err, XR, XR_err,
YR, YR_err, UR, UR_err, corXY, corXU, corYU, corXUR, corYUR, corUUR,
tag_nut, dX, dX_err, dY, dY_err, cordXdY
] = read_eob(EOB_file)
epo = (tag_nut - 51544.5) / 365.25 + 2000.0
data_dir, data_fil = path.split(EOB_file)
# Plot
# plot_res(epo, dX, "dX", "mas", data_dir)
# plot_res(epo, dY, "dY", "mas", data_dir)
errorbarplot_nut(epo, dX, dX_err, dY, dY_err, data_dir)
# Statistical calculation
# LOG_file = data_fil.replace(".nut", "_nut.log")
LOG_file = data_fil.replace(".eob", "_nut.log")
flog = open("%s/logs/%s" % (data_dir, LOG_file), "w")
# units are changed on 31 JAN 2018.
dX, dX_err = dX * 1.e3, dX_err * 1.e3
dY, dY_err = dY * 1.e3, dY_err * 1.e3
# Statistics for all-time series
print("For all-time:", file=flog)
# units are changed on 31 JAN 2018.
# print("dX (mas):", file=flog)
print("dX (uas):", file=flog)
stats_calc(epo, dX, dX_err, flog)
# units are changed on 31 JAN 2018.
# print("dY: (mas)", file=flog)
print("dY: (uas)", file=flog)
stats_calc(epo, dY, dY_err, flog)
# Statistics for post-1995.0 series
splitpoint = 1993.
print("For post-%.1f:" % splitpoint, file=flog)
con = (epo >= splitpoint)
epo = epo[con]
dX = dX[con]
dX_err = dX_err[con]
dY = dY[con]
dY_err = dY_err[con]
# units are changed on 31 JAN 2018.
# print("dX (mas):", file=flog)
print("dX (uas):", file=flog)
stats_calc(epo, dX, dX_err, flog)
# units are changed on 31 JAN 2018.
# print("dY: (mas)", file=flog)
print("dY: (uas)", file=flog)
stats_calc(epo, dY, dY_err, flog)
flog.close()