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#!/usr/bin/env python
"""
Script to convert the PMT database in RAT to a CSV file (with spaces instead of commas).
"""
from __future__ import print_function, division
import yaml

if __name__ == '__main__':
    import argparse
    import numpy as np

    parser = argparse.ArgumentParser("convert a RATDB file -> CSV file")
    parser.add_argument("filename", help="RATDB filename")
    parser.add_argument("-o", "--output", help="output filename", required=True)
    args = parser.parse_args()

    s = ''
    with open(args.filename) as f:
        for line in f:
            if line.startswith('//'):
                continue
            s += line

    data = yaml.load(s)

    csv = np.zeros((len(data['x']),7),dtype=np.float64)
    csv[:,0] = data['x']
    csv[:,1] = data['y']
    csv[:,2] = data['z']
    csv[:,3] = data['u']
    csv[:,4] = data['v']
    csv[:,5] = data['w']
    csv[:,6] = data['pmt_type']

    # reverse PMT normals
    csv[:,3] = -csv[:,3]
    csv[:,4] = -csv[:,4]
    csv[:,5] = -csv[:,5]

    header = "Format: x, y, z, u, v, w, pmt_type"

    np.savetxt(args.output, csv, fmt=['%10.2f']*6 + ['%i'],
               header=header)
s correct for the D2O and salt phases since it appears to be from the NCD phase ? add code to compute expected deviation from nll_best to normalize psi - tried several different versions of this and nothing seemed to perform as well as psi/nhit. ^ add term to likelihood for probability that a channel is misccalibrated or didn't make it into the event - when calculating the first order statistic for a gaussian is alpha = pi/8 a better choice than 0.375? - speed up charge initialization - determine *real* mean and standard deviation of single PE charge distribution. TELLIE SNO+ data? ^ extend electron range table - extended the electron range table up to 1 TeV ? fix time PDF. Currently take the first order statistic of dark noise + indirect light + direct light all together, but this isn't correct. - thought more about this and it's not actually obvious if what I'm doing is wrong. Need to think more about this.