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TravelSignal: extract time_offset into method
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1 changed files with 58 additions and 37 deletions
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@ -11,7 +11,7 @@ class TravelSignal:
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Model an arbitrary digitised signal that can be translated to another position and time.
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Model an arbitrary digitised signal that can be translated to another position and time.
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"""
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"""
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def __init__(self, signal, sample_rate, t_0 = 0, x_0 = 0, periodic=True, interp1d_kw = None):
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def __init__(self, signal, sample_rate, t_0 = 0, x_0 = 0, periodic=True, interp1d_kw = None, velocity=None):
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"""
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"""
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Initialise by saving the raw signal
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Initialise by saving the raw signal
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@ -32,17 +32,21 @@ class TravelSignal:
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Use scipy.interpolate's interp1d_kw for interpolation.
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Use scipy.interpolate's interp1d_kw for interpolation.
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Set to True, or a dictionary to enable.
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Set to True, or a dictionary to enable.
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Dictionary will be entered in as **kwargs.
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Dictionary will be entered in as **kwargs.
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velocity : float, optional
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Defaults to the speed of light in m/s.
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"""
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"""
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self.raw = signal
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self.raw = np.asarray(signal)
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self.periodic = periodic
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self.periodic = periodic
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self.sample_rate = sample_rate # Hz
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self.sample_rate = sample_rate # Hz
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self.sample_length = len(self.raw)
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self.sample_length = len(self.raw)
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self.time_length = self.sample_length*sample_rate # s
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self.time_length = self.sample_length*sample_rate # s
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self.x_0 = x_0
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self.velocity = 299792458 if velocity is None else velocity # m / s
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self.t_0 = t_0
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self.x_0 = x_0 # m
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self.t_0 = t_0 # s
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# choose interpolation method
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# choose interpolation method
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if not interp1d_kw:
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if not interp1d_kw:
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@ -87,36 +91,7 @@ class TravelSignal:
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Returns the signal at (t_f, x_f)
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Returns the signal at (t_f, x_f)
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"""
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"""
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if t_0 is None:
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total_time_offset = self.total_time_offset(t_f=t_f, x_f=x_f, t_0=t_0, x_0=x_0, velocity=velocity)
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t_0 = self.t_0
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if velocity is None:
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velocity = 1
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## spatial offset
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if x_f is None:
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spatial_time_offset = 0
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else:
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x_f = np.asarray(x_f)
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if x_0 is None:
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x_0 = self.x_0
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spatial_time_offset = np.sum(np.sqrt( (x_f - x_0)**2 )/velocity)
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## temporal offset
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if t_f is None:
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temporal_time_offset = 0
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else:
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t_f = np.asarray(t_f)
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if t_0 is None:
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t_0 = self.t_0
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temporal_time_offset = t_f - t_0
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# total offset
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total_time_offset = temporal_time_offset - spatial_time_offset
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n_offset = (total_time_offset * self.sample_rate )
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n_offset = (total_time_offset * self.sample_rate )
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# periodic signal
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# periodic signal
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@ -169,6 +144,52 @@ class TravelSignal:
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return amplitude, total_time_offset
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return amplitude, total_time_offset
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def spatial_time(self, x_f, velocity=None, x_0=None):
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"""
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Calculate the time offset caused by a spatial difference.
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"""
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if velocity is None:
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velocity = self.velocity
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if x_0 is None:
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x_0 = self.x_0
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return np.sum(np.sqrt( (x_f - x_0)**2 )/velocity)
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def total_time_offset(self, t_f = None, x_f = None, t_0 = None, x_0 = None, velocity = None):
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"""
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Calculate how much time shifting is needed to go from (t_0, x_0) to (t_f, x_f).
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Convention:
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(t_0, x_0) < (t_f, x_0) gives a positive time shift,
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(t_0, x_0) != (t_0, x_f) gives a negative time shift
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Returns:
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the time shift
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"""
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## spatial offset
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if x_f is None:
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spatial_time_offset = 0
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else:
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x_f = np.asarray(x_f)
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if x_0 is None:
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x_0 = self.x_0
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spatial_time_offset = self.spatial_time(x_f, x_0=x_0, velocity=velocity)
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## temporal offset
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if t_f is None:
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temporal_time_offset = 0
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else:
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t_f = np.asarray(t_f)
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if t_0 is None:
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t_0 = self.t_0
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temporal_time_offset = t_f - t_0
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return temporal_time_offset - spatial_time_offset
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if __name__ == "__main__":
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if __name__ == "__main__":
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import matplotlib.pyplot as plt
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import matplotlib.pyplot as plt
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@ -193,7 +214,7 @@ if __name__ == "__main__":
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ax.set_xlabel("Time")
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ax.set_xlabel("Time")
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ax.plot(time, signal, label='Raw signal')
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ax.plot(time, signal, label='Raw signal')
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ax.plot(time2, mysignal(time2)+0.5, '.-', label='TravelSignal(periodic)+0.5')
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ax.plot(time2, mysignal(time2) +0.5, '.-', label='TravelSignal(periodic)+0.5')
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ax.plot(time2, mysignal2(time2)-0.5, '.-', label='TravelSignal-0.5')
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ax.plot(time2, mysignal2(time2)-0.5, '.-', label='TravelSignal-0.5')
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ax.legend()
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ax.legend()
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