Python TimeSeries.data[taper_window:]方法代码示例

# 需要导入模块: from pycbc.types import TimeSeries [as 别名]
# 或者: from pycbc.types.TimeSeries import data[taper_window:] [as 别名]
def get_td_qnm(template=None, taper=None, **kwargs):
    """Return a time domain damped sinusoid.

    Parameters
    ----------
    template: object
        An object that has attached properties. This can be used to substitute
        for keyword arguments. A common example would be a row in an xml table.
    taper: {None, float}, optional
        Tapering at the beginning of the waveform with duration taper * tau.
        This option is recommended with timescales taper=1./2 or 1. for
        time-domain ringdown-only injections.
        The abrupt turn on of the ringdown can cause issues on the waveform
        when doing the fourier transform to the frequency domain. Setting
        taper will add a rapid ringup with timescale tau/10.
    f_0 : float
        The ringdown-frequency.
    tau : float
        The damping time of the sinusoid.
    amp : float
        The amplitude of the ringdown (constant for now).
    phi : float
        The initial phase of the ringdown. Should also include the information
        from the azimuthal angle (phi_0 + m*Phi)
    inclination : {None, float}, optional
        Inclination of the system in radians for the spherical harmonics.
    l : {2, int}, optional
        l mode for the spherical harmonics. Default is l=2.
    m : {2, int}, optional
        m mode for the spherical harmonics. Default is m=2.
    delta_t : {None, float}, optional
        The time step used to generate the ringdown.
        If None, it will be set to the inverse of the frequency at which the
        amplitude is 1/1000 of the peak amplitude.
    t_final : {None, float}, optional
        The ending time of the output time series.
        If None, it will be set to the time at which the amplitude is
        1/1000 of the peak amplitude.

    Returns
    -------
    hplus: TimeSeries
        The plus phase of the ringdown in time domain.
    hcross: TimeSeries
        The cross phase of the ringdown in time domain.
    """

    input_params = props(template, qnm_required_args, **kwargs)

    f_0 = input_params.pop('f_0')
    tau = input_params.pop('tau')
    amp = input_params.pop('amp')
    phi = input_params.pop('phi')
    # the following may not be in input_params
    inc = input_params.pop('inclination', None)
    l = input_params.pop('l', 2)
    m = input_params.pop('m', 2)
    delta_t = input_params.pop('delta_t', None)
    t_final = input_params.pop('t_final', None)

    if not delta_t:
        delta_t = 1. / qnm_freq_decay(f_0, tau, 1./1000)
        if delta_t < min_dt:
            delta_t = min_dt
    if not t_final:
        t_final = qnm_time_decay(tau, 1./1000)

    kmax = int(t_final / delta_t) + 1
    times = numpy.arange(kmax) * delta_t
    if inc is not None:
        Y_plus, Y_cross = spher_harms(l, m, inc)
    else:
        Y_plus, Y_cross = 1, 1

    hplus = amp * Y_plus * numpy.exp(-times/tau) * \
                                numpy.cos(two_pi*f_0*times + phi)
    hcross = amp * Y_cross * numpy.exp(-times/tau) * \
                                numpy.sin(two_pi*f_0*times + phi)

    if taper and delta_t < taper*tau:
        taper_window = int(taper*tau/delta_t)
        kmax += taper_window

    outplus = TimeSeries(zeros(kmax), delta_t=delta_t)
    outcross = TimeSeries(zeros(kmax), delta_t=delta_t)

    # If size of tapering window is less than delta_t, do not apply taper.
    if not taper or delta_t > taper*tau:
        outplus.data[:kmax] = hplus
        outcross.data[:kmax] = hcross

        return outplus, outcross

    else:
        taper_hp, taper_hc = apply_taper(delta_t, taper, f_0, tau, amp, phi,
                                                                    l, m, inc)
        start = - taper * tau
        outplus.data[:taper_window] = taper_hp
        outplus.data[taper_window:] = hplus
        outcross.data[:taper_window] = taper_hc
#.........这里部分代码省略.........

# 需要导入模块: from pycbc.types import TimeSeries [as 别名]
# 或者: from pycbc.types.TimeSeries import data[taper_window:] [as 别名]
def get_td_qnm(template=None, taper=None, **kwargs):
    """Return a time domain damped sinusoid.

    Parameters
    ----------
    template: object
        An object that has attached properties. This can be used to substitute
        for keyword arguments. A common example would be a row in an xml table.
    taper: {None, float}, optional
        Tapering at the beginning of the waveform with duration taper * tau.
        This option is recommended with timescales taper=1./2 or 1. for
        time-domain ringdown-only injections.
        The abrupt turn on of the ringdown can cause issues on the waveform
        when doing the fourier transform to the frequency domain. Setting
        taper will add a rapid ringup with timescale tau/10.
    f_0 : float
        The ringdown-frequency.
    tau : float
        The damping time of the sinusoid.
    phi : float
        The initial phase of the ringdown.
    amp : float
        The amplitude of the ringdown (constant for now).
    delta_t : {None, float}, optional
        The time step used to generate the ringdown.
        If None, it will be set to the inverse of the frequency at which the
        amplitude is 1/1000 of the peak amplitude.
    t_final : {None, float}, optional
        The ending time of the output time series.
        If None, it will be set to the time at which the amplitude is 
        1/1000 of the peak amplitude.

    Returns
    -------
    hplus: TimeSeries
        The plus phase of the ringdown in time domain.
    hcross: TimeSeries
        The cross phase of the ringdown in time domain.
    """

    input_params = props(template, qnm_required_args, **kwargs)
    
    f_0 = input_params.pop('f_0')
    tau = input_params.pop('tau')
    amp = input_params.pop('amp')
    phi = input_params.pop('phi')
    # the following may not be in input_params
    delta_t = input_params.pop('delta_t', None)
    t_final = input_params.pop('t_final', None)

    if delta_t is None:
        delta_t = 1. / qnm_freq_decay(f_0, tau, 1./1000)
        if delta_t < min_dt:
            delta_t = min_dt
    if t_final is None:
        t_final = qnm_time_decay(tau, 1./1000)
    kmax = int(t_final / delta_t) + 1

    times = numpy.arange(kmax) * delta_t

    hp = amp * numpy.exp(-times/tau) * numpy.cos(two_pi*f_0*times + phi)
    hc = amp * numpy.exp(-times/tau) * numpy.sin(two_pi*f_0*times + phi)

    # If size of tapering window is less than delta_t, do not apply taper.
    if taper is None or delta_t > taper*tau:
        hplus = TimeSeries(zeros(kmax), delta_t=delta_t)
        hcross = TimeSeries(zeros(kmax), delta_t=delta_t)
        hplus.data[:kmax] = hp
        hcross.data[:kmax] = hc

        return hplus, hcross

    else:
        taper_hp, taper_hc, taper_window, start = apply_taper(delta_t, taper,
                                                        f_0, tau, amp, phi)
        hplus = TimeSeries(zeros(taper_window+kmax), delta_t=delta_t)
        hcross = TimeSeries(zeros(taper_window+kmax), delta_t=delta_t)
        hplus.data[:taper_window] = taper_hp
        hplus.data[taper_window:] = hp
        hplus._epoch = start
        hcross.data[:taper_window] = taper_hc
        hcross.data[taper_window:] = hc
        hcross._epoch = start

        return hplus, hcross