本文整理匯總了Python中pycbc.types.FrequencySeries.data[:kmin]方法的典型用法代碼示例。如果您正苦於以下問題：Python FrequencySeries.data[:kmin]方法的具體用法？Python FrequencySeries.data[:kmin]怎麽用？Python FrequencySeries.data[:kmin]使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類pycbc.types.FrequencySeries的用法示例。
在下文中一共展示了FrequencySeries.data[:kmin]方法的3個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: from_string
# 需要導入模塊: from pycbc.types import FrequencySeries [as 別名]
# 或者: from pycbc.types.FrequencySeries import data[:kmin] [as 別名]
def from_string(psd_name, length, delta_f, low_freq_cutoff):
"""Generate a frequency series containing a LALSimulation PSD specified by name.
Parameters
----------
psd_name : string
PSD name as found in LALSimulation, minus the SimNoisePSD prefix.
length : int
Length of the frequency series in samples.
delta_f : float
Frequency resolution of the frequency series.
low_freq_cutoff : float
Frequencies below this value are set to zero.
Returns
-------
psd : FrequencySeries
The generated frequency series.
"""
if psd_name not in _psd_list:
raise ValueError(psd_name + ' not found among LALSimulation PSD functions.')
kmin = int(low_freq_cutoff / delta_f)
lalseries = lal.CreateREAL8FrequencySeries(
'', lal.LIGOTimeGPS(0), 0, delta_f, lal.DimensionlessUnit, length)
try:
func = lalsimulation.__dict__[_name_prefix + psd_name + _name_suffix]
except KeyError:
func = lalsimulation.__dict__[_name_prefix + psd_name]
func(lalseries, low_freq_cutoff)
else:
lalsimulation.SimNoisePSD(lalseries, 0, func)
psd = FrequencySeries(lalseries.data.data, delta_f=delta_f)
psd.data[:kmin] = 0
return psd示例2: from_string
# 需要導入模塊: from pycbc.types import FrequencySeries [as 別名]
# 或者: from pycbc.types.FrequencySeries import data[:kmin] [as 別名]
def from_string(psd_name, length, delta_f, low_freq_cutoff):
"""Generate a frequency series containing a LALSimulation PSD specified
by name.
Parameters
----------
psd_name : string
PSD name as found in LALSimulation, minus the SimNoisePSD prefix.
length : int
Length of the frequency series in samples.
delta_f : float
Frequency resolution of the frequency series.
low_freq_cutoff : float
Frequencies below this value are set to zero.
Returns
-------
psd : FrequencySeries
The generated frequency series.
"""
# check if valid PSD model
if psd_name not in get_psd_model_list():
raise ValueError(psd_name + ' not found among analytical '
'PSD functions.')
# if PSD model is in LALSimulation
if psd_name in get_lalsim_psd_list():
lalseries = lal.CreateREAL8FrequencySeries(
'', lal.LIGOTimeGPS(0), 0, delta_f, lal.DimensionlessUnit, length)
try:
func = lalsimulation.__dict__[
_name_prefix + psd_name + _name_suffix]
except KeyError:
func = lalsimulation.__dict__[_name_prefix + psd_name]
func(lalseries, low_freq_cutoff)
else:
lalsimulation.SimNoisePSD(lalseries, 0, func)
psd = FrequencySeries(lalseries.data.data, delta_f=delta_f)
# if PSD model is coded in PyCBC
else:
func = pycbc_analytical_psds[psd_name]
psd = func(length, delta_f, low_freq_cutoff)
# zero-out content below low-frequency cutoff
kmin = int(low_freq_cutoff / delta_f)
psd.data[:kmin] = 0
return psd示例3: flat_unity
# 需要導入模塊: from pycbc.types import FrequencySeries [as 別名]
# 或者: from pycbc.types.FrequencySeries import data[:kmin] [as 別名]
def flat_unity(length, delta_f, low_freq_cutoff):
""" Returns a FrequencySeries of ones above the low_frequency_cutoff.
Parameters
----------
length : int
Length of output Frequencyseries.
delta_f : float
Frequency step for output FrequencySeries.
low_freq_cutoff : int
Low-frequency cutoff for output FrequencySeries.
Returns
-------
FrequencySeries
Returns a FrequencySeries containing the unity PSD model.
"""
fseries = FrequencySeries(numpy.ones(length), delta_f=delta_f)
kmin = int(low_freq_cutoff / fseries.delta_f)
fseries.data[:kmin] = 0
return fseries