From 22a1fa12ac08161fdf9e13f7b5ad0afef142921f Mon Sep 17 00:00:00 2001
From: Colm Talbot <colm.talbot@ligo.org>
Date: Tue, 5 Jun 2018 15:31:05 +1000
Subject: [PATCH] add basic frame reading
---
tupak/detector.py | 59 ++++++++++++++++++++++++++++++++++++++++++-----
1 file changed, 53 insertions(+), 6 deletions(-)
diff --git a/tupak/detector.py b/tupak/detector.py
index 64b929184..e63c2553f 100644
--- a/tupak/detector.py
+++ b/tupak/detector.py
@@ -323,8 +323,8 @@ class Interferometer(object):
return self.power_spectral_density.power_spectral_density_interpolated(self.frequency_array)
def set_data(self, sampling_frequency, duration, epoch=0,
- from_power_spectral_density=False,
- frequency_domain_strain=None):
+ from_power_spectral_density=False, frame_file=None,
+ frequency_domain_strain=None, channel_name=None, **kwargs):
"""
Set the interferometer frequency-domain stain and accompanying PSD values.
@@ -341,6 +341,12 @@ class Interferometer(object):
from_power_spectral_density: bool
If frequency_domain_strain not given, use IFO's PSD object to
generate noise
+ frame_file: str
+ File from which to load data.
+ channel_name: str
+ Channel to read from frame.
+ kwargs: dict
+ Additional arguments for loading data.
"""
self.epoch = epoch
@@ -356,6 +362,12 @@ class Interferometer(object):
frequency_domain_strain, frequencies = \
self.power_spectral_density.get_noise_realisation(
sampling_frequency, duration)
+ elif frame_file is not None:
+ logging.info('Reading data from frame, {}.'.format(self.name))
+ strain = tupak.utils.read_frame_file(frame_file, t1=epoch, t2=epoch+duration, channel=channel_name,
+ resample=sampling_frequency)
+ frequency_domain_strain = tupak.utils.process_strain_data(strain, **kwargs)
+ frequencies = utils.create_frequency_series(sampling_frequency, duration)
else:
raise ValueError("No method to set data provided.")
@@ -407,16 +419,33 @@ class Interferometer(object):
class PowerSpectralDensity:
- def __init__(self, asd_file=None, psd_file='aLIGO_ZERO_DET_high_P_psd.txt'):
+ def __init__(self, asd_file=None, psd_file='aLIGO_ZERO_DET_high_P_psd.txt', frame_file=None, epoch=0,
+ psd_duration=1024, psd_offset=16, channel_name=None, filter_freq=1024, alpha=0.25, fft_length=4):
"""
Instantiate a new PowerSpectralDensity object.
Only one of the asd_file or psd_file needs to be specified.
If multiple are given, the first will be used.
- FIXME: Allow reading a frame and then FFT to get PSD, use gwpy?
- :param asd_file: amplitude spectral density, format 'f h_f'
- :param psd_file: power spectral density, format 'f h_f'
+ Parameters:
+ asd_file: str
+ File containing amplitude spectral density, format 'f h_f'
+ psd_file: str
+ File containing power spectral density, format 'f h_f'
+ frame_file: str
+ Frame file to read data from.
+ epoch: float
+ Beginning of segment to analyse.
+ psd_duration: float
+ Duration of data to generate PSD from.
+ psd_offset: float
+ Offset of data from beginning of analysed segment.
+ channel_name: str
+ Name of channel to use to generate PSD.
+ alpha: float
+ Parameter for Tukey window.
+ fft_length: float
+ Number of seconds in a single fft.
"""
self.frequencies = []
@@ -435,6 +464,24 @@ class PowerSpectralDensity:
logging.warning("The minimum of the provided curve is {:.2e}.".format(
min(self.amplitude_spectral_density)))
logging.warning("You may have intended to provide this as a power spectral density.")
+ elif frame_file is not None:
+ strain = tupak.utils.read_frame_file(frame_file, t1=epoch - psd_duration - psd_offset,
+ t2=epoch - psd_duration, channel=channel_name)
+ sampling_frequency = int(strain.sample_rate.value)
+
+ # Low pass filter
+ bp = filter_design.lowpass(filter_freq, strain.sample_rate)
+ strain = strain.filter(bp, filtfilt=True)
+ strain = strain.crop(*strain.span.contract(1))
+
+ # Create and save PSDs
+ NFFT = int(sampling_frequency * fft_length)
+ window = signal.windows.tukey(NFFT, alpha=alpha)
+ psd = strain.psd(fftlength=fft_length, window=window)
+ self.frequencies = psd.frequencies
+ self.power_spectral_density = psd.value
+ self.amplitude_spectral_density = self.power_spectral_density**0.5
+ self.interpolate_power_spectral_density()
else:
self.power_spectral_density_file = psd_file
self.import_power_spectral_density()
--
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