""" Define the super Signal class """ import numpy as np class Signal(): """ An arbitrary signal that can be translated to another position and time. Note that position can be of any length. Super object, cannot be used directly. """ def __init__(self, t_0 = 0, x_0 = 0, velocity=None): """ Parameters ---------- t_0 : float, optional Time that this signal is sent out. x_0 : float, optional Location that this signal is sent out from. velocity : float, optional Defaults to the speed of light in m/s. """ self.velocity = 299792458 if velocity is None else velocity # m / s self.x_0 = x_0 # m self.t_0 = t_0 # s def __call__(self, t_f = None, x_f = None, **kwargs): """ Allow this class to be used as a function. """ return self._translate(t_f, x_f, **kwargs)[0] def _translate(self, t_f = None, x_f = None, t_0 = None, x_0 = None, velocity = None): """ Translate the signal from (t_0, x_0) to (t_f, x_f) with optional velocity. Returns the signal at (t_f, x_f) """ raise NotImplementedError def spatial_time_offset(self, x_f, velocity=None, x_0=None): """ Calculate the time offset caused by a spatial difference. """ if velocity is None: velocity = self.velocity if x_0 is None: x_0 = self.x_0 return np.sum(np.sqrt( (x_f - x_0)**2 )/velocity) def temporal_time_offset(self, t_f, t_0=None): """ Calculate the time offset caused by a temporal difference. """ if t_0 is None: t_0 = self.t_0 return t_f - t_0 def total_time_offset(self, t_f = None, x_f = None, t_0 = None, x_0 = None, velocity = None): """ Calculate how much time shifting is needed to go from (t_0, x_0) to (t_f, x_f). Convention: (t_0, x_0) < (t_f, x_0) gives a positive time shift, (t_0, x_0) != (t_0, x_f) gives a negative time shift Returns: the time shift """ ## spatial offset if x_f is None: spatial_time_offset = 0 else: x_f = np.asarray(x_f) if x_0 is None: x_0 = self.x_0 spatial_time_offset = self.spatial_time_offset(x_f, x_0=x_0, velocity=velocity) ## temporal offset if t_f is None: temporal_time_offset = 0 else: t_f = np.asarray(t_f) if t_0 is None: t_0 = self.t_0 temporal_time_offset = self.temporal_time_offset(t_f, t_0=t_0) return temporal_time_offset - spatial_time_offset