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object --+ | NoiseTerm
Object representing one term in a noise budget/projection. It holds a few parameters and has methods to read data and generate ASD spectrum borrowed from pylal.seriesutils, and simple plotting from pylal.plotutils
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typemap = {'channel': str, 'frame_type': str, 'name': str, 'su
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name = None hash(x) |
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channel = None hash(x) |
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frame_type = None hash(x) |
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sum = False
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data = None hash(x) |
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deltaT = 0
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spectrum = None hash(x) |
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deltaF = 0
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f0 = 0
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epoch = seriesutils.lal.LIGOTimeGPS()
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ref_spectrum = None hash(x) |
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ref_deltaF = 0
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ref_f0 = 0
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ref_epoch = seriesutils.lal.LIGOTimeGPS()
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Inherited from |
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" Initialise a NoiseTerm. Keyword arguments: name : str description of this NoiseTerm channel : str data channel from which this noise term is estimated frame_type : str LDR frame type for files containing data for this NoiseTerm
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Apply a calibration function to the timeseries. Arguments: func : callable any callable function that accepts numpy.array as input |
Apply the transfer function to the spectrum. Arguments: func : [ callable | numpy.array ] any callable function that accepts numpy.array as input or array by which to multiply spectrum. |
Read the reference spectrum from a two-column file of frequency and ASD. Arguments: referencefile : str path to file with space-delimited columns of frequency and ASD Keyword arguments: epoch : lal.LIGOTimeGPS GPS epoch of this reference sampleUnits : lal.LALUnit amplitude unit for reference spectrum fcol : int number of column holding frequency array, default 0 acol : int number of column holding amplitude array, default 1 |
Restrict the spectrum for this NoiseTerm to the given semiopen [fmin, fmax) interval. Arguments: fmin : float minimum frequency for this NoiseTerm fmax : float maximum frequency for this NoiseTerm |
Plot the spectrum of this NoiseTerm. Arguments: outfile : str path to output file for this plot |
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typemap
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