Esempio n. 1
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def pr_cth(enu=1e5,
           kind='conv nu_mu',
           pmodel=(pm.HillasGaisser2012, 'H3a'),
           hadr='SIBYLL2.3c',
           barr_mods=(),
           depth=1950 * Units.m,
           density=('CORSIKA', ('SouthPole', 'December')),
           accuracy=3.5,
           fraction=True,
           prpl='ice_allm97_step_1',
           corr_only=False,
           **kwargs):
    """ plot the passing rate (flux or fraction)
    """
    cths = np.linspace(0, 1, 21)
    passed = [
        passing(enu, cos_theta, kind, pmodel, hadr, barr_mods, depth, density,
                accuracy, fraction, prpl, corr_only) for cos_theta in cths
    ]
    if fraction:
        prs = plt.plot(cths, passed, **kwargs)
        plt.ylim(0., 1.)
        plt.ylabel(r'Passing fraction')
    else:
        prs = plt.plot(cths, np.asarray(passed) * enu**3, **kwargs)
        plt.yscale('log')
        plt.ylabel(r'$E_\nu^3 \Phi_\nu [GeV^2 cm^-2 s^-1 st^-1]$')
    plt.xlim(0, 1)
    plt.xscale('linear')
    plt.xlabel(r'$\cos \theta$')
    return prs[0]
Esempio n. 2
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def test_elbert(cth):
    ens = np.logspace(2,8.9,50)
    mine = np.asarray(
        [passing(en, cth, kind='conv nu_mu', hadr='DPMJET-III-3.0.6',
                 pmodel=(pm.GaisserHonda, None), prpl=None, corr_only=True) for en in ens])
    emu = extsv.minimum_muon_energy(extsv.overburden(cth))
    theirs = exthp.corr('conv nu_mu')(ens, emu, cth)
    print('test_elbert', cth)
    assert np.all(np.abs(theirs-mine)<0.022)
Esempio n. 3
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def test_elbert():
    ens = np.logspace(2, 9, 50)
    cths = [0.1, 0.3, 0.8]
    for cth in cths:
        mine = np.asarray([
            passing(en,
                    cth,
                    kind='conv_numu',
                    hadr='DPMJET-III',
                    pmodel=(pm.GaisserHonda, None),
                    prpl=None,
                    corr_only=True) for en in ens
        ])
        emu = extsv.minimum_muon_energy(extsv.overburden(cth))
        theirs = exthp.corr('conv_numu')(ens, emu, cth)
        assert np.all(np.abs(theirs - mine) < 0.02)
Esempio n. 4
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def PlotNuMuPromptPassingFraction(cos_theta,
                                  pmodel=(pm.HillasGaisser2012, 'H3a'),
                                  hadr='SIBYLL2.3c',
                                  prpl='step_1'):
    """ plot passing fraction for the conventional component
    """
    enu_grid = np.logspace(3, 10, 20)
    enu_grid_fine = np.logspace(3, 10, 1000)
    pnm = [nv.passing(enu, cos_theta, kind='pr_numu') for enu in enu_grid]
    pnmfn = interpolate.interp1d(enu_grid,
                                 pnm,
                                 kind='cubic',
                                 assume_sorted=True,
                                 fill_value=(1, np.nan))
    plt.semilogx(enu_grid_fine, pnmfn(enu_grid_fine), label='interpolated')
    plt.xlabel(r'$E_\nu$')
    plt.ylabel(r'Prompt Muon Neutrino Passing Fraction')
    plt.legend()
    plt.savefig("PromptNuMuPassingFraction.eps", dpi=300)
Esempio n. 5
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def pr_enu(cos_theta=1.,
           kind='conv nu_mu',
           pmodel=(pm.HillasGaisser2012, 'H3a'),
           hadr='SIBYLL2.3c',
           barr_mods=(),
           depth=1950 * Units.m,
           density=('CORSIKA', ('SouthPole', 'December')),
           accuracy=3.5,
           fraction=True,
           prpl='ice_allm97_step_1',
           corr_only=False,
           **kwargs):
    """ plot the passing rate (flux or fraction)
    """
    ens = np.logspace(3, 7, 100) if corr_only else np.logspace(3, 7, 39)
    passed = [
        passing(en, cos_theta, kind, pmodel, hadr, barr_mods, depth, density,
                accuracy, fraction, prpl, corr_only) for en in ens
    ]
    if fraction:
        passed_fn = interpolate.interp1d(ens, passed, kind='quadratic')
    else:
        passed_fn = lambda es: 10**interpolate.interp1d(
            ens, np.log10(passed), kind='quadratic')(es)
    ens_plot = np.logspace(3, 7, 100)
    if fraction:
        prs = plt.plot(ens_plot, passed_fn(ens_plot), **kwargs)
        plt.ylim(0., 1.)
        plt.ylabel(r'Passing fraction')
    else:
        prs = plt.plot(ens_plot, passed_fn(ens_plot) * ens_plot**3, **kwargs)
        plt.yscale('log')
        plt.ylabel(r'$E_\nu^3 \Phi_\nu [GeV^2 cm^{-2} s^{-1} st^{-1}]$')
    plt.xlim(10**3, 10**7)
    plt.xscale('log')
    plt.xlabel(r'$E_\nu$ [GeV]')
    return prs[0]