Coverage for pesummary/conf/caption.py: 100.0%

1# Caption for 1d histogram 

2caption_1d_histogram = ( 

3 "Plot showing the marginalized posterior distribution for {}. The vertical " 

4 "dashed lines show the 90% credible interval. The title gives the median " 

5 "and 90% confidence interval." 

6) 

7 

8# Caption for bootstrapped 1d histogram 

9caption_1d_histogram_bootstrap = ( 

10 "Plot showing {} posterior realizations for {}. {} samples were randomly " 

11 "drawn for each test." 

12) 

13 

14# Caption for 2d contour plot 

15caption_2d_contour = ( 

16 "Plot showing the 2d posterior distribution for {} and {}. The contours " 

17 "show the 50% and 90% credible intervals." 

18) 

19 

20# Caption for autocorrelation plot 

21caption_autocorrelation = ( 

22 "Plot showing the autocorrelation function for {}. This plot is commonly " 

23 "used to check for randomness in the data. An autocorrelation of 1/-1 " 

24 "means that the samples are correlated and 0 means no correlation. The " 

25 "autocorrelation function at a lag of N gives the correlation between " 

26 "the 0th sample and the Nth sample." 

27) 

28 

29# Caption for sample evolution plot 

30caption_sample_evolution = ( 

31 "Scatter plot showing the evolution of the collected samples for {}." 

32) 

33 

34# Caption for sample evolution plot colored by second variable 

35caption_sample_evolution_colored = ( 

36 caption_sample_evolution[:-1] + " colored by {}." 

37) 

38 

39# Caption for preliminary skymap 

40caption_skymap_preliminary = ( 

41 "Plot showing the most likely position of the source. This map has been " 

42 "produced by creating a 2d histogram from the samples of 'ra' and 'dec'. " 

43 "This is a valid approximation near the equator but breaks down near the " 

44 "poles. The 50% and 90% credible intervals are approximate. For true " 

45 "50% and 90% credible intervals a 'ligo.skymap' skymap should be " 

46 "generated." 

47) 

48 

49# Caption for ligo.skymap skymap 

50caption_skymap = ( 

51 "Plot showing the most likely position of the source that generated the " 

52 "gravitational wave. We give the 50% and 90% credible intervals. The " 

53 "black region corresponds to the most likely position and light orange " 

54 "least likely." 

55) 

56 

57# Caption for strain plot 

58caption_strain = ( 

59 "Plot showing the comparison between the gravitational wave strain " 

60 "measured at the detectors (grey) and the maximum likelihood waveform " 

61 "(orange) for all available detectors. A 30Hz high and 300Hz low pass " 

62 "filter have been applied to the gravitational wave strain." 

63) 

64 

65# Caption for frequency domain waveform 

66caption_frequency_waveform = ( 

67 "Plot showing the frequency domain waveform generated from the maximum " 

68 "likelihood samples." 

69) 

70 

71# Caption for comparison time domain waveform plot 

72caption_time_waveform = ( 

73 "Plot showing the time domain waveform generated from the maximum " 

74 "likelihood samples." 

75) 

76 

77# Caption for psd plot 

78caption_psd = ( 

79 "Plot showing the instrument noise for each detector near the time of " 

80 "detection; the power spectral density is expressed in terms of " 

81 "equivalent gravitational-wave strain amplitude." 

82) 

83 

84# Caption for calibration plot 

85caption_calibration = ( 

86 "Plot showing the calibration posteriors (solid lines) and calibration " 

87 "priors (solid band) for amplitude (top) and phase (bottom)." 

88) 

89 

90# Caption for default mass1 mass2 classification plot 

91caption_default_classification_mass_1_mass_2 = ( 

92 "Scatter plot showing the individual samples with their classifications " 

93 "over the mass_1 and mass_2 parameter space. The samples have not been " 

94 "reweighted. Green regions correspond to BBHs, blue BNS, orange NSBH and " 

95 "red MassGap." 

96) 

97 

98# Caption for population mass1 mass2 classification plot 

99caption_population_classification_mass_1_mass_2 = ( 

100 "Scatter plot showing the individual samples with their classifications " 

101 "over the mass_1 and mass_2 parameter space. The samples have been " 

102 "reweighted to a population prior. Green regions correspond to BBHs, blue " 

103 "BNS, orange NSBH and red MassGap." 

104) 

105 

106# Caption for default classification bar plot 

107caption_default_classification_bar = ( 

108 "Bar plot showing the most likely classification of the binary based on " 

109 "the samples." 

110) 

111 

112# Caption for population classification bar plot 

113caption_population_classification_bar = ( 

114 "Bar plot showing the most likely classification of the binary based on " 

115 "the samples which have been reweighted to a population prior." 

116) 

117 

118# Caption for 2d contour plots 

119caption_2d_contour = ( 

120 "2d contour plot showing the bounded posterior distributions for {} and " 

121 "{}. Each contour shows the 90% credible interval and the posterior " 

122 "distributions are normalized." 

123) 

124 

125# Caption for violin plots 

126caption_violin = ( 

127 "Violin plot showing the posterior distributions for {}. The horizontal " 

128 "black lines show the 90% credible intervals." 

129) 

130 

131# Caption for spin disk plots 

132caption_spin_disk = ( 

133 "Posterior probability distributions for the dimensionless component spins " 

134 "relative to the normal to the orbital plane, L, marginalized over the " 

135 "azimuthal angles. The bins are constructed linearly in spin magnitude and " 

136 "the cosine of the tilt angles and are assigned equal prior probability." 

137)