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1 files changed, 0 insertions, 236 deletions
diff --git a/ipynbs/\ b/ipynbs/\
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-#! /usr/bin/env python
-"""
-Make triangle plot
-"""
-
-from __future__ import absolute_import, division
-
-import sys
-sys.path.extend(['.', '..'])
-
-import numpy as np
-from scipy import interpolate
-
-import matplotlib as mpl
-import matplotlib.gridspec as gridspec
-import matplotlib.pyplot as plt
-from matplotlib.patches import Circle
-from matplotlib.legend_handler import HandlerPatch
-plt.style.use('./paper.mplstyle')
-
-import ternary
-
-from utils import fr as fr_utils
-from utils import misc as misc_utils
-from utils.enums import MixingScenario
-
-
-OUTFOLDER = './plots/'
-OUTFORMAT = ['png', 'pdf']
-FONTSIZE = 23
-
-
-class HandlerCircle(HandlerPatch):
- def create_artists(self, legend, orig_handle,
- xdescent, ydescent, width, height,
- fontsize, trans):
- r = 10
- x = r + width//2 + 10
- y = height//2 - 3
-
- # create
- p = Circle(xy=(x, y), radius=r)
-
- # update with data from oryginal object
- self.update_prop(p, orig_handle, legend)
-
- # move xy to legend
- p.set_transform(trans)
-
- return [p]
-
-
-def swap(x):
- y = x.T
- return np.vstack([y[1], y[-1], y[0]]).T
-
-
-def interp(i):
- x, y, z = i.T
- p = np.linspace(0, 1, len(x))
- q = np.linspace(0, 1, 100)
- s = 0.2
- x_ = interpolate.splev(q, interpolate.splrep(p, x, s=s))
- y_ = interpolate.splev(q, interpolate.splrep(p, y, s=s))
- z_ = interpolate.splev(q, interpolate.splrep(p, z, s=s))
- return np.vstack([x_, y_, z_]).T
-
-
-def setupfigure(tax, show_120=True):
- # Draw Boundary and Gridlines
- tax.boundary(linewidth=2.0)
- tax.gridlines(color='grey', multiple=scale/5., linewidth=1.0, alpha=0.4,
- ls='--')
- tax.gridlines(color='grey', multiple=scale/10., linewidth=0.5, alpha=0.4,
- ls=':')
-
- # Set Axis labels and Title
- tax.left_axis_label(r"$f_{\tau}^{\oplus}$", fontsize=FONTSIZE+8,
- offset=0.2, rotation=0)
- tax.right_axis_label(r"$f_{\mu}^{\oplus}$", fontsize=FONTSIZE+8,
- offset=0.2, rotation=0)
- tax.bottom_axis_label(r"$f_{e}^{\oplus}$", fontsize=FONTSIZE+8,
- position=(0.55, -0.20/2, 0.5), rotation=0)
-
- # Remove default Matplotlib axis
- tax.get_axes().axis('off')
- tax.clear_matplotlib_ticks()
-
- # Legend
- l_size = FONTSIZE
- legend_elements = []
- if show_120:
- legend_elements.append(
- Circle((0., 0.), 0.1, facecolor='red', alpha=0.7, edgecolor='k',
- linewidth=2., label=r'$\left (1:2:0\right )$')
- )
- legend_elements.append(
- Circle((0., 0.), 0.1, facecolor='green', alpha=0.7, edgecolor='k',
- linewidth=2., label=r'$\left (0:1:0\right )$')
- )
- legend_elements.append(
- Circle((0., 0.), 0.1, facecolor='blue', alpha=0.7, edgecolor='k',
- linewidth=2., label=r'$\left (1:0:0\right )$')
- )
- legend = plt.legend(handles=legend_elements, loc=(0.65, 0.8),
- title='Source composition',
- fontsize=l_size,
- handler_map={Circle: HandlerCircle()})
- plt.setp(legend.get_title(), fontsize=l_size)
- legend.get_frame().set_linestyle('-')
-
- # Set ticks
- tax.ticks(axis='blr', multiple=scale/5., linewidth=1, offset=0.03,
- fontsize=FONTSIZE, tick_formats='%.1f')
-
- tax._redraw_labels()
-
- return
-
-
-# Load contours
-bc = np.genfromtxt('./bayes_contours.csv', delimiter=',', skip_header=2)
-print bc
-
-contour_68_upper = interp(swap(bc[:,:3]))
-contour_68_lower = interp(swap(bc[:,3:6]))
-contour_90_upper = interp(swap(bc[:,6:9]))
-contour_90_lower = interp(swap(bc[:,9:]))
-
-# Load data
-sm_010 = np.load('./mcmc_DIM3_sfr_0_1_0_mfr_3.29685E+15_7.88411E+15_6.83344E+15_fix_scale_0.1_sigma_100000_proc.npy')
-sm_100 = np.load('./mcmc_DIM3_sfr_1_0_0_mfr_1.98171E+16_6.59371E+15_9.61795E+15_fix_scale_0.1_sigma_100000_proc.npy')
-bsm_010 = np.load('./mcmc_chains_DIM3_sfr_0_1_0_mfr_0_1_0_MixingScenario.T13_sigma_010.npy')
-bsm_100 = np.load('./mcmc_chains_DIM3_sfr_1_0_0_mfr_1_0_0_MixingScenario.T23_sigma_010.npy')
-
-# Figure
-fig = plt.figure(figsize=(12, 12))
-ax = fig.add_subplot(111)
-ax.set_aspect('equal')
-
-# Boundary and Gridlines
-scale = 1
-fig, tax = ternary.figure(ax=ax, scale=scale)
-setupfigure(tax, show_120=False)
-
-# Plot
-tax.scatter(sm_010, marker='.', s=0.2, alpha=0.2, color='green')
-tax.scatter(sm_100, marker='.', s=0.2, alpha=0.2, color='blue')
-tax.scatter(bsm_010, marker='.', s=0.2, alpha=0.2, color='green')
-tax.scatter(bsm_100, marker='.', s=0.2, alpha=0.2, color='blue')
-
-# Contour
-tax.plot(contour_68_upper, linewidth=2.3, color='grey', zorder=0, alpha=0.6)
-tax.plot(contour_68_lower, linewidth=2.3, color='grey', zorder=0, alpha=0.6)
-tax.plot(contour_90_upper, linewidth=2.3, color='darkgrey', zorder=0, alpha=0.6)
-tax.plot(contour_90_lower, linewidth=2.3, color='darkgrey', zorder=0, alpha=0.6)
-
-# Lines
-marker_style = dict(
- linestyle=' ', color='darkorange', linewidth=1.2,
- markersize=14, zorder=0
-)
-
-p1 = (0.18301213, 0.43765598, 0.37933189)
-p2 = (0, 1, 0)
-divisions = 46
-x_d = np.linspace(p1[0], p2[0], divisions+1)
-y_d = np.linspace(p1[1], p2[1], divisions+1)
-z_d = np.linspace(p1[2], p2[2], divisions+1)
-for n in xrange(divisions-2):
- p = (x_d[n], y_d[n], z_d[n])
- q = (x_d[n+1], y_d[n+1], z_d[n+1])
- tax.line(p, q, marker=(3, 2, 180+46.5), **marker_style)
-
-p1 = (0.55003613, 0.18301213, 0.26695174)
-p2 = (1, 0, 0)
-divisions = 35
-x_d = np.linspace(p1[0], p2[0], divisions+1)
-y_d = np.linspace(p1[1], p2[1], divisions+1)
-z_d = np.linspace(p1[2], p2[2], divisions+1)
-for n in xrange(divisions-2):
- p = (x_d[n], y_d[n], z_d[n])
- q = (x_d[n+1], y_d[n+1], z_d[n+1])
- tax.line(p, q, marker=(3, 2, 180+63), **marker_style)
-
-# Text
-ax.text(0.36, 0.53, r'$\mathcal{O}_{e\tau}$', fontsize=FONTSIZE,
- rotation=0, verticalalignment='center')
-ax.text(0.445, 0.54, r'$\Lambda_d\Longrightarrow$', fontsize=FONTSIZE+5,
- rotation=80, verticalalignment='center')
-ax.text(0.68, 0.09, r'$\mathcal{O}_{\mu\tau}$', fontsize=FONTSIZE,
- rotation=0, verticalalignment='center')
-ax.text(0.7, 0.14, r'$\Lambda_d\Longrightarrow$', fontsize=FONTSIZE+5,
- rotation=-23, verticalalignment='center')
-ax.text(0.34, 0.2, r'$68\%$', fontsize=FONTSIZE, rotation=5)
-ax.text(0.34, 0.1, r'$90\%$', fontsize=FONTSIZE, rotation=5)
-
-# Save
-outfile = 'fr'
-for of in OUTFORMAT:
- print 'Saving as {0}'.format(OUTFOLDER + outfile+'.'+of)
- fig.savefig(OUTFOLDER + outfile+'.'+of, bbox_inches='tight', dpi=150)
-
-# Scenarios
-scenarios = [MixingScenario.T12, MixingScenario.T13, MixingScenario.T23]
-srcs = [(1, 0, 0), (0, 1, 0), (1, 2, 0)]
-colours = {0:'blue', 1:'green', 2:'red'}
-ev_sc = np.linspace(-60, -20, 4E3)
-
-for i, sc in enumerate(scenarios):
- # Figure
- fig = plt.figure(figsize=(18, 6))
- gs = gridspec.GridSpec(1, 3, width_ratios=[1, 1, 1])
- gs.update(hspace=0.4, wspace=0.15)
- ax = fig.add_subplot(gs[i])
- ax.set_aspect('equal')
-
- # Boundary and Gridlines
- scale = 1
- fig, tax = ternary.figure(ax=ax, scale=scale)
- setupfigure(tax)
-
- # Calculate and plot
- for src in srcs:
- frs = []
- for e in ev_sc:
- u = fr_utils.params_to_BSMu(e, fix_mixing=sc, dim=6, energy=1e6)
- frs.append(fr_utils.u_to_fr(s, np.array(u, dtype=np.complex128)))
- frs = np.vstack(frs)
- tax.scatter(frs, marker='o', s=2, alpha=1, color=colours[i])
-
- # Save
- outfile = 'fr_sc_{0}'.format(sc)
- for of in OUTFORMAT:
- print 'Saving as {0}'.format(OUTFOLDER + outfile+'.'+of)
- fig.savefig(OUTFOLDER + outfile+'.'+of, bbox_inches='tight', dpi=150)
generated by cgit v1.2.3 (git 2.25.1) at 2025-12-17 16:44:08 +0000