#!/usr/bin/env python """ Script to plot the probabilities for atmospheric neutrino oscillations. To run it: $ ./plot-atmospheric-oscillations nue_osc_prob.txt """ from __future__ import print_function, division import numpy as np if __name__ == '__main__': import argparse from os.path import split, splitext from sddm import setup_matplotlib parser = argparse.ArgumentParser("script to plot atmospheric oscillations") parser.add_argument("filenames", nargs='+', help="oscillation probability filenames") parser.add_argument("--save", action="store_true", default=False, help="save plots") args = parser.parse_args() setup_matplotlib(args.save) import matplotlib.pyplot as plt for filename in args.filenames: head, tail = split(filename) root, ext = splitext(tail) e, z, pnue, pnum, pnut = np.genfromtxt(filename).T shape0 = len(np.unique(e)) ee = e.reshape((shape0,-1)) zz = z.reshape((shape0,-1)) pnue = pnue.reshape((shape0,-1)) pnum = pnum.reshape((shape0,-1)) pnut = pnut.reshape((shape0,-1)) levels = np.linspace(0,1,101) plt.figure() plt.contourf(ee,zz,pnue,levels=levels) plt.gca().set_xscale('log') plt.xlabel("Energy (GeV)") plt.ylabel("Cos(Zenith)") plt.colorbar() plt.tight_layout() if args.save: plt.savefig("%s_nue.pdf" % root) plt.savefig("%s_nue.eps" % root) else: plt.title(r"Probability to oscillate to $\nu_e$") plt.figure() plt.contourf(ee,zz,pnum,levels=levels) plt.gca().set_xscale('log') plt.xlabel("Energy (GeV)") plt.ylabel("Cos(Zenith)") plt.colorbar() plt.tight_layout() if args.save: plt.savefig("%s_num.pdf" % root) plt.savefig("%s_num.eps" % root) else: plt.title(r"Probability to oscillate to $\nu_\mu$") plt.figure() plt.contourf(ee,zz,pnut,levels=levels) plt.gca().set_xscale('log') plt.xlabel("Energy (GeV)") plt.ylabel("Cos(Zenith)") plt.colorbar() plt.tight_layout() if args.save: plt.savefig("%s_nut.pdf" % root) plt.savefig("%s_nut.eps" % root) else: plt.title(r"Probability to oscillate to $\nu_\tau$") plt.show() div>
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