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Commit d4a55027 authored by cal's avatar cal
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Edits to plotting scripts for calibration checks

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Pipeline #75722 passed with warnings
Stage: level0
Stage: level1
Stage: level2
Stage: test-gstlal
Stage: test-inspiral
Stage: test-burst
Stage: test-offline
Stage: nightly-pages
Stage: deploy
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gstlal-calibration/tests/check_calibration/ASD_comparison_plots
+ 4
− 4
View file @ d4a55027
...@@ -40,7 +40,7 @@ calcs_asd = calcs_data.asd(4, 2, method = 'lal_median_mean') ...@@ -40,7 +40,7 @@ calcs_asd = calcs_data.asd(4, 2, method = 'lal_median_mean')
hoft_asd = hoft_data.asd(4, 2, method = 'lal_median_mean') hoft_asd = hoft_data.asd(4, 2, method = 'lal_median_mean')
if options.analyze_additional_hoft_channel: if options.analyze_additional_hoft_channel:
additional_hoft_asd = additional_hoft_data.asd(4,2, method = 'lal_median_mean') additional_hoft_asd = additional_hoft_data.asd(4,2, method = 'lal_median_mean')
additional_hoft_asd = additional_hoft_asd.filter([30]*6, [0.3]*6, 1e-12 / 4e3) #additional_hoft_asd = additional_hoft_asd.filter([30]*6, [0.3]*6, 1e-12 / 4e3)
#dewhiten CALCS #dewhiten CALCS
calcs_asd = calcs_asd.filter([30]*6, [0.3]*6, 1e-12 / 4e3) calcs_asd = calcs_asd.filter([30]*6, [0.3]*6, 1e-12 / 4e3)
...@@ -53,7 +53,7 @@ if options.analyze_additional_hoft_channel: ...@@ -53,7 +53,7 @@ if options.analyze_additional_hoft_channel:
ax = plot.gca() ax = plot.gca()
ax.set_ylabel('Strain [Hz $^{-1/2}$]', fontname = 'Times', fontsize = 18) ax.set_ylabel('Strain [Hz $^{-1/2}$]', fontname = 'Times', fontsize = 18)
ax.set_xlabel('Frequency [Hz]', fontname = 'Times', fontsize = 18) ax.set_xlabel('Frequency [Hz]', fontname = 'Times', fontsize = 18)
ax.legend([r'CAL-DELTAL\_EXTERNAL', r'GDS-CALIB\_STRAIN', r'CAL-CFTD\_DELTAL\_EXTERNAL'], loc='upper right', fontsize='small') ax.legend([r'CAL-DELTAL\_EXTERNAL', r'GDS-CALIB\_STRAIN', r'DCS-CALIB\_STRAIN'], loc='upper right', fontsize='small')
ax.set_xlim(0.5,8192) ax.set_xlim(0.5,8192)
ax.set_ylim(1e-24,1e-16) ax.set_ylim(1e-24,1e-16)
plot.save('%s_%s_%s_spectrum_comparison.png' % (options.ifo, start_time, end_time)) plot.save('%s_%s_%s_spectrum_comparison.png' % (options.ifo, start_time, end_time))
...@@ -69,7 +69,7 @@ if options.analyze_additional_hoft_channel: ...@@ -69,7 +69,7 @@ if options.analyze_additional_hoft_channel:
ax = plot.gca() ax = plot.gca()
ax.set_ylabel('Strain [Hz $^{-1/2}$]', fontname = 'Times', fontsize = 18) ax.set_ylabel('Strain [Hz $^{-1/2}$]', fontname = 'Times', fontsize = 18)
ax.set_xlabel('Frequency [Hz]', fontname = 'Times', fontsize = 18) ax.set_xlabel('Frequency [Hz]', fontname = 'Times', fontsize = 18)
ax.legend([r'GDS h(t) ASD / CALCS h(t) ASD', r'CALCS h(t) ASD / CFTD CALCS h(t) ASD', r'GDS h(t) ASD / CFTD CALCS h(t) ASD'], loc='upper right', fontsize='small') ax.legend([r'GDS h(t) ASD / CALCS h(t) ASD', r'CALCS h(t) ASD / DCS h(t) ASD', r'GDS h(t) ASD / DCS h(t) ASD'], loc='upper right', fontsize='small')
ax.set_xlim(5,5000) ax.set_xlim(0.5,8192)
ax.set_ylim(0.75, 1.25) ax.set_ylim(0.75, 1.25)
plot.save('%s_%s_%s_ASD_residual.png' % (options.ifo, start_time, end_time)) plot.save('%s_%s_%s_ASD_residual.png' % (options.ifo, start_time, end_time))
gstlal-calibration/tests/check_calibration/response_function.py
+ 3
− 3
View file @ d4a55027
...@@ -154,7 +154,7 @@ if options.analyze_calcs_hoft: ...@@ -154,7 +154,7 @@ if options.analyze_calcs_hoft:
plot.add_frequencyseries(CALCS_tf, dB=False, color='#4ba6ff', linewidth=2) plot.add_frequencyseries(CALCS_tf, dB=False, color='#4ba6ff', linewidth=2)
if options.analyze_additional_hoft: if options.analyze_additional_hoft:
plot.add_frequencyseries(additional_hoft_tf*3995.1, dB = False, color="#94ded7", linewidth=2) plot.add_frequencyseries(additional_hoft_tf*3995.1, dB = False, color="#94ded7", linewidth=2)
plot.legend([r'Reference model response function', r'GDS h(t) derived response function', r'CALCS h(t) derived response function'], loc='upper right', fontsize='x-small') plot.legend([r'Reference model response function', r'GDS h(t) derived response function', r'CALCS h(t) derived response function', r'DCS h(t) derived response function'], loc='upper right', fontsize='x-small')
# FIXME: Figure out how to make the legend and title appropriate and flexible # FIXME: Figure out how to make the legend and title appropriate and flexible
plot.maxes.set_yscale('log') plot.maxes.set_yscale('log')
plot.paxes.set_yscale("linear") plot.paxes.set_yscale("linear")
...@@ -172,7 +172,7 @@ if options.analyze_calcs_hoft: ...@@ -172,7 +172,7 @@ if options.analyze_calcs_hoft:
plot.add_frequencyseries(ratio_CALCS, dB = False, color='#4ba6ff',linewidth=2) plot.add_frequencyseries(ratio_CALCS, dB = False, color='#4ba6ff',linewidth=2)
if options.analyze_additional_hoft: if options.analyze_additional_hoft:
plot.add_frequencyseries(ratio_additional_hoft*3995.1, dB = False, color="#94ded7", linewidth=2) plot.add_frequencyseries(ratio_additional_hoft*3995.1, dB = False, color="#94ded7", linewidth=2)
plot.legend([r'GDS h(t) derived response / Reference model response', 'CALCS h(t) derived response / Reference model response'], loc='upper right', fontsize='small') plot.legend([r'GDS h(t) derived response / Reference model response', r'CALCS h(t) derived response / Reference model response', r'DCS h(t) derived response / Reference model response'], loc='upper right', fontsize='small')
plot.maxes.set_yscale('linear') plot.maxes.set_yscale('linear')
plot.paxes.set_yscale('linear') plot.paxes.set_yscale('linear')
plot.maxes.set_ylim(0,2) plot.maxes.set_ylim(0,2)
...@@ -183,7 +183,7 @@ if options.analyze_calcs_hoft: ...@@ -183,7 +183,7 @@ if options.analyze_calcs_hoft:
plot.add_frequencyseries(ratio_CALCS, dB = False, color='#4ba6ff',linewidth=2) plot.add_frequencyseries(ratio_CALCS, dB = False, color='#4ba6ff',linewidth=2)
if options.analyze_additional_hoft: if options.analyze_additional_hoft:
plot.add_frequencyseries(ratio_additional_hoft*3995.1, dB = False, color="#94ded7", linewidth=2) plot.add_frequencyseries(ratio_additional_hoft*3995.1, dB = False, color="#94ded7", linewidth=2)
plot.legend([r'GDS h(t) derived response / Reference model response', r'CALCS h(t) derived response / Reference model response'], loc='upper right', fontsize='small') plot.legend([r'GDS h(t) derived response / Reference model response', r'CALCS h(t) derived response / Reference model response', r'DCS h(t) derived response / Reference model response'], loc='upper right', fontsize='small')
plot.maxes.set_yscale('linear') plot.maxes.set_yscale('linear')
plot.paxes.set_yscale('linear') plot.paxes.set_yscale('linear')
plot.maxes.set_ylim(.9, 1.1) plot.maxes.set_ylim(.9, 1.1)
......
gstlal-calibration/tests/check_calibration/timeserieskappas.py
+ 18
− 0
View file @ d4a55027
...@@ -13,6 +13,9 @@ parser.add_option("--ifo", metavar = "name", help = "Interferometer to perform t ...@@ -13,6 +13,9 @@ parser.add_option("--ifo", metavar = "name", help = "Interferometer to perform t
parser.add_option("--frame-cache", metavar = "name", help = "Filename for frame cache to be analyzed.") parser.add_option("--frame-cache", metavar = "name", help = "Filename for frame cache to be analyzed.")
parser.add_option("--channel-list", metavar = "list", help = "List of channels to be plotted.") parser.add_option("--channel-list", metavar = "list", help = "List of channels to be plotted.")
parser.add_option("--front-end-channel-list", metavar = "list", help = "List of channels to be plotted from the front-end.") parser.add_option("--front-end-channel-list", metavar = "list", help = "List of channels to be plotted from the front-end.")
parser.add_option("--analyze-additional-hoft", action = "store_true", help = "Set this to analyze an additional h(t) channel.")
parser.add_option("--additional-hoft-frames-cache", metavar = "name", help = "If desired, provide an additional frame cache for a secondary h(t) data stream to be analyzed.")
parser.add_option("--additional-channel-list", metavar = "list", help = "List of channels to be plotted from additional h(t) frames.")
options, filenames = parser.parse_args() options, filenames = parser.parse_args()
...@@ -28,6 +31,17 @@ if options.channel_list is not None: ...@@ -28,6 +31,17 @@ if options.channel_list is not None:
else: else:
raise ValueError('Channel list option must be set.') raise ValueError('Channel list option must be set.')
if options.analyze_additional_hoft:
additional_channel_list = []
if options.additional_channel_list is not None:
additional_channels = options.additional_channel_list.split(',')
for channel in additional_channels:
additional_channel_list.append((ifo, channel))
plot_additional_hoft = True
else:
plot_additional_hoft = False
front_end_channel_list = [] front_end_channel_list = []
if options.front_end_channel_list is not None: if options.front_end_channel_list is not None:
front_end_channels = options.front_end_channel_list.split(',') front_end_channels = options.front_end_channel_list.split(',')
...@@ -40,6 +54,8 @@ else: ...@@ -40,6 +54,8 @@ else:
data = TimeSeriesDict.read(options.frame_cache, map("%s:%s".__mod__, channel_list), start = start, end = end) data = TimeSeriesDict.read(options.frame_cache, map("%s:%s".__mod__, channel_list), start = start, end = end)
if plot_front_end: if plot_front_end:
front_end_data = TimeSeriesDict.fetch(map("%s:%s".__mod__, front_end_channel_list), start = start, end = end) front_end_data = TimeSeriesDict.fetch(map("%s:%s".__mod__, front_end_channel_list), start = start, end = end)
if plot_additional_hoft:
additional_hoft_data = TimeSeriesDict.read(options.additional_hoft_frames_cache, map("%s:%s".__mod__, additional_channel_list), start = start, end = end)
print(map("%s:%s".__mod__, front_end_channel_list)) print(map("%s:%s".__mod__, front_end_channel_list))
...@@ -50,6 +66,8 @@ for n, channel in enumerate(channels): ...@@ -50,6 +66,8 @@ for n, channel in enumerate(channels):
ax = plot.gca() ax = plot.gca()
if plot_front_end: if plot_front_end:
ax.plot(front_end_data["%s:%s" % (ifo, front_end_channels[n])]) ax.plot(front_end_data["%s:%s" % (ifo, front_end_channels[n])])
if plot_additional_hoft:
ax.plot(additional_hoft_data["%s:%s" % (ifo, additional_channels[n])])
ax.set_ylabel('Correction value') ax.set_ylabel('Correction value')
plot.gca().legend() plot.gca().legend()
#title = item #title = item
......
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