#!/usr/bin/env python # Copyright (c) 2019, Anthony Latorre # # This program is free software: you can redistribute it and/or modify it # under the terms of the GNU General Public License as published by the Free # Software Foundation, either version 3 of the License, or (at your option) # any later version. # # This program is distributed in the hope that it will be useful, but WITHOUT # ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or # FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for # more details. # # You should have received a copy of the GNU General Public License along with # this program. If not, see . """ Script to print the event rate per year for different neutrino interactions. It works by reading the MCPL files produced by GENIE to determine the number of neutrino interactions and dividing by the livetime in the autosno run_info.log file. To run it, just run: $ ./print-event-rate /path/to/mcpl/files/*.dat.gz --run-info /path/to/autosno/log/run_info.log which will print out a latex style table of the event rates. """ from __future__ import print_function, division import numpy as np import pandas as pd from sddm import read_hdf, AV_RADIUS, PSUP_RADIUS import gzip from sddm.renormalize import * def get_mcgn(filename): ev = read_hdf(filename, "ev") mcgn = read_hdf(filename, "mcgn").assign(run=ev.run[0]) mcgn = mcgn.groupby(['run','evn']).first().reset_index() return mcgn if __name__ == '__main__': import argparse import sys from os.path import join, split from sddm import * parser = argparse.ArgumentParser("recreate MCPL files") parser.add_argument("filenames", nargs='+', help="mcpl filenames") parser.add_argument("--run-info", required=True, help="run_info.log autosno file") args = parser.parse_args() cc_av = {nu: 0 for nu in range(30,36)} cc_psup = {nu: 0 for nu in range(30,36)} nc_av = {nu: 0 for nu in range(30,36)} nc_psup = {nu: 0 for nu in range(30,36)} livetime = 0.0 run_info = np.genfromtxt(args.run_info,usecols=range(4),dtype=(np.int,np.int,np.double,np.double)) for filename in args.filenames: head, tail = split(filename) try: mcpl = read_mcpl_df(filename) except Exception as e: print_warning("failed to read mcpl file '%s'" % filename) continue run = int(tail.split('_')[3]) for _, row in mcpl.iterrows(): nu = row['nu_id'] r = row['nu_r'] if r < AV_RADIUS: if not row['cc']: # nc event nc_av[nu] += row['flux_weight'] else: # cc event cc_av[nu] += row['flux_weight'] if r < PSUP_RADIUS: if not row['cc']: # nc event nc_psup[nu] += row['flux_weight'] else: # cc event cc_psup[nu] += row['flux_weight'] for i in range(run_info.shape[0]): if run_info[i][0] == run: livetime += run_info[i][3] for nu in range(30,36): cc_av[nu] *= 3600*24*365/livetime/100 cc_psup[nu] *= 3600*24*365/livetime/100 nc_av[nu] *= 3600*24*365/livetime/100 nc_psup[nu] *= 3600*24*365/livetime/100 for nu in range(30,36): line = [cc_av[nu],nc_av[nu], cc_av[nu]+nc_av[nu], cc_psup[nu],nc_psup[nu], cc_psup[nu]+nc_psup[nu]] print(' & '.join(["%.1f" % rate for rate in line]))