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config.yml
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####################################################################################
# config.yml #
####################################################################################
# This file contains two sections: #
# - schemes: colours, symbols and labels for plot elements #
# - plot_options: technical plot options #
####################################################################################
####################################################################################
# The "schemes" section is used to configure the colours, symbols and labels of
# plot elements. Configuration is per-element-type rather than per-plot, i.e.
# changing the symbol for the best-fit point will affect all plots that show
# a best-fit point.
#
# List of available marker symbol codes: http://matplotlib.org/api/markers_api.html
# List of HTML named colours: http://www.w3schools.com/html/html_colornames.asp
# Matplotlib colormap reference: http://matplotlib.org/users/colormaps.html
schemes:
# Posterior mean (point)
posterior_mean:
colour: 'SeaGreen'
symbol: 'o'
label: 'Posterior Mean'
# Best fit (point)
best_fit:
colour: 'Brown'
symbol: '*'
label: 'Best-fit point'
size: 12
# Data points for scatter plotting
scatter:
symbol: 'o'
colour_map: 'Reds'
size: 15
# Posterior PDF
posterior:
# 1D Plotting: Line colour, symbol and label
colour: 'RoyalBlue'
symbol: '-'
label: 'Posterior pdf'
# 2D Plotting
colours: ['RoyalBlue', 'SeaGreen'] # Colours for filled contour plots
colour_map: 'GnBu' # Colour map for full contour plots
colour_bar_title: 'PDF'
level_names: ['$2\sigma$ region', '$1\sigma$ region']
# Profile Likelihood
prof_like:
# 1D Plotting: Line colour, symbol and label
colour: 'DarkOrange'
symbol: '--'
label: 'Profile likelihood'
# 2D Plotting
colours: ['DarkOrange', 'Brown'] # Colours for filled contour plots
colour_map: 'Reds' # Colour map for full contour plots
colour_bar_title: 'PL'
level_names: ['$2\sigma$ region', '$1\sigma$ region']
# Profile chi-squared
prof_chi_sq:
# 1D Plotting: Line colour, symbol and label
colour: 'DarkOrange'
symbol: '--'
label: '$\Delta \chi^2$'
# Colours and labels for excluded regions
colours: ['Gold', 'Peru']
level_names: ['$2\sigma$ excluded', '$1\sigma$ excluded']
# Theory error band label and colour (used in chi-squared plot)
tau_band:
colour: 'RoyalBlue'
label: 'Theory Error'
# Two sigma confidence interval line
conf_interval_s2:
colour: 'DarkOrange'
symbol: 'o'
label: '$2\sigma$ confidence interval'
# One sigma confidence interval line
conf_interval_s1:
colour: 'Brown'
symbol: 'o'
label: '$1\sigma$ confidence interval'
# Two sigma credible region line
credible_region_s2:
colour: 'SeaGreen'
symbol: '-'
label: '$2\sigma$ credible region'
# One sigma credible region line
credible_region_s1:
colour: 'RoyalBlue'
symbol: '-'
label: '$1\sigma$ credible region'
#########################################################################
# The "plot_options" section contains defaults for technical plot options.
plot_options:
# Degrees of freedom for calculating chi-squared.
# Currently only used in summary.py.
dof: 10
# Values of alpha.
alpha: [0.05, 0.32]
# Default plot limits [xmin, xmax, ymin, ymax].
# plot_limits: [0,0.2,0,1.3]
plot_limits: null
# Default bin limigs [[xmin, xmax],[ymin,ymax]].
# bin_limits: [[0,1000],[0,1000]]
bin_limits: null
# Default number of bins.
nbins: 70
# Default number of ticks for x & y axes.
xticks: 5
yticks: 5
# Default plot title.
plot_title: ''
# For theoretical error on delta chi-squared plots.
tau: 2