#
# Copyright (c) 2011, 2012
# <NAME> <<EMAIL>>
# and the IceCube Collaboration <http://www.icecube.wisc.edu>
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# $Id: GetIceCubeDOMAcceptance.py 108199 2013-07-12 21:33:08Z nwhitehorn $
# 
# @file GetIceCubeDOMAcceptance.py
# @version $Revision: 108199 $
# @date $Date: 2013-07-12 17:33:08 -0400 (Fri, 12 Jul 2013) $
# @author <NAME>
#

from icecube import icetray, dataclasses
from icecube.clsim import I3CLSimFunctionFromTable

from I3Tray import I3Units

import numpy, math
from os.path import expandvars


def GetIceCubeDOMAcceptance(domRadius = 0.16510*I3Units.m, efficiency=1.0, highQE=False):
    """
    this is taken from photonics/lib/efficiency.h:
    
    Adopted into photonics Juli 1 2007 /Johan. Interpolation of data
    from Kotoyo Hoshina <<EMAIL>>: 
    Jan 15 K.Hoshina :
    Found a wrong value at 260nm whicn I didn't offer in July 1st 2007.
    Copied a value from 270nm.

          0.0002027029 -> 0.0000064522


    ROMEO wavelength effective area

    This is the table of photo-electron acceptance of the
    IceCube PMT after through the glass+gel + PMT photocathode,
    as a function of wavelength.
    It corresponds to a 0p.e. threshold.
    The injection angle (off-axis angle) is 0deg.
    
    The acceptances are calculated by:
    
    acceptance = NPEs generated by photo-cathode (0P.E threshold)\
              / Nphotons_inject_to_1m^2
    """
    dom2007a_eff_area = [
    0.0000064522,
    0.0000064522,
    0.0000064522,
    0.0000064522,
    0.0000021980,
    0.0001339040,
    0.0005556810,
    0.0016953000,
    0.0035997000,
    0.0061340900,
    0.0074592700,
    0.0090579800,
    0.0099246700,
    0.0105769000,
    0.0110961000,
    0.0114214000,
    0.0114425000,
    0.0111527000,
    0.0108086000,
    0.0104458000,
    0.0099763100,
    0.0093102500,
    0.0087516600,
    0.0083225800,
    0.0079767200,
    0.0075625100,
    0.0066377000,
    0.0053335800,
    0.0043789400,
    0.0037583500,
    0.0033279800,
    0.0029212500,
    0.0025334900,
    0.0021115400,
    0.0017363300,
    0.0013552700,
    0.0010546600,
    0.0007201020,
    0.0004843820,
    0.0002911110,
    0.0001782310,
    0.0001144300,
    0.0000509155]
    dom2007a_eff_area = numpy.array(dom2007a_eff_area)*I3Units.meter2 # apply units (this is an effective area)
    domArea = math.pi*domRadius**2.
    dom2007a_efficiency = efficiency*(dom2007a_eff_area/domArea)
    
    if highQE:
        wv, rde = numpy.loadtxt(expandvars('$I3_BUILD/ice-models/resources/models/wavelength/wv.rde')).T
        dom2007a_efficiency *= numpy.interp(260 + 10*numpy.arange(len(dom2007a_efficiency)), wv, rde)

    domEfficiency = I3CLSimFunctionFromTable(260.*I3Units.nanometer, 10.*I3Units.nanometer, dom2007a_efficiency)

    return domEfficiency

StarcoderdataPython