diff options
Diffstat (limited to 'utils/plot.py')
| -rw-r--r-- | utils/plot.py | 49 |
1 files changed, 28 insertions, 21 deletions
diff --git a/utils/plot.py b/utils/plot.py index a24c69c..a659b78 100644 --- a/utils/plot.py +++ b/utils/plot.py @@ -21,7 +21,7 @@ from getdist import plots from getdist import mcsamples from utils import misc as misc_utils -from utils.enums import ParamTag +from utils.enums import Likelihood, ParamTag from utils.fr import angles_to_u, angles_to_fr rc('text', usetex=False) @@ -68,40 +68,47 @@ def plot_Tchain(Tchain, axes_labels, ranges): def gen_figtext(args): """Generate the figure text.""" + t = '' mr1, mr2, mr3 = args.measured_ratio if args.fix_source_ratio: sr1, sr2, sr3 = args.source_ratio if args.fix_scale: - return 'Source flavour ratio = [{0:.2f}, {1:.2f}, {2:.2f}]\nIC ' \ + t += 'Source flavour ratio = [{0:.2f}, {1:.2f}, {2:.2f}]\nIC ' \ 'observed flavour ratio = [{3:.2f}, {4:.2f}, ' \ - '{5:.2f}]\nSigma = {6:.3f}\nDimension = {7}\nEnergy = ' \ - '{8} GeV\nScale = {9}'.format( - sr1, sr2, sr3, mr1, mr2, mr3, args.sigma_ratio, - args.dimension, int(args.energy), args.scale + '{5:.2f}]\nDimension = {7}\nScale = {9}'.format( + sr1, sr2, sr3, mr1, mr2, mr3, args.dimension, + int(args.energy), args.scale ) else: - return 'Source flavour ratio = [{0:.2f}, {1:.2f}, {2:.2f}]\nIC ' \ + t += 'Source flavour ratio = [{0:.2f}, {1:.2f}, {2:.2f}]\nIC ' \ 'observed flavour ratio = [{3:.2f}, {4:.2f}, ' \ - '{5:.2f}]\nSigma = {6:.3f}\nDimension = {7}\nEnergy = {8} ' \ - 'GeV'.format( - sr1, sr2, sr3, mr1, mr2, mr3, args.sigma_ratio, - args.dimension, int(args.energy) + '{5:.2f}]\nDimension = {7}'.format( + sr1, sr2, sr3, mr1, mr2, mr3, args.dimension, + int(args.energy) ) else: if args.fix_scale: - return 'IC observed flavour ratio = [{0:.2f}, {1:.2f}, ' \ - '{2:.2f}]\nSigma = {3:.3f}\nDimension = {4}\nEnergy = {5} ' \ - 'GeV\nScale = {6}'.format( - mr1, mr2, mr3, args.sigma_ratio, args.dimension, - int(args.energy), args.scale + t += 'IC observed flavour ratio = [{0:.2f}, {1:.2f}, ' \ + '{2:.2f}]\nDimension = {4}\nScale = {6}'.format( + mr1, mr2, mr3, args.dimension, int(args.energy), + args.scale ) else: - return 'IC observed flavour ratio = [{0:.2f}, {1:.2f}, ' \ - '{2:.2f}]\nSigma = {3:.3f}\nDimension = {4}\nEnergy = {5} ' \ - 'GeV'.format( - mr1, mr2, mr3, args.sigma_ratio, args.dimension, - int(args.energy) + t += 'IC observed flavour ratio = [{0:.2f}, {1:.2f}, ' \ + '{2:.2f}]\nDimension = {4}'.format( + mr1, mr2, mr3, args.dimension, int(args.energy) ) + if args.likelihood is Likelihood.GAUSSIAN: + t += '\nSigma = {0:.3f}'.format(args.sigma_ratio) + if args.energy_dependance is EnergyDependance.SPECTRAL: + t += '\nSpectral Index = {0}\nBinning = [{7}, {8}] GeV - {9} bins'.format( + int(args.spectral_index), int(10**args.binning[0]), + int(10**args.binning[1]), int(args.binning[2]) + ) + elif args.energy_dependance is EnergyDependance.MONO: + t += '\nEnergy = {0} GeV'.format(args.energy) + return t + def chainer_plot(infile, outfile, outformat, args, mcmc_paramset): """Make the triangle plot.""" |