def get_sigma(self, models):
r"""Returns the variance matrix
variance is
.. math::
\Sigma_i = \sigma_t^2 + \frac{\sigma_x^2}{V_{CJ}}
**Where**
- :math:`\sigma_t` is the error in time measurements
- :math:`\sigma_x` is the error in sensor position
- :math:`V_{CJ}` is the detonation velocity
see :py:meth:`F_UNCLE.Utils.Experiment.Experiment.get_sigma`
"""
eos = self.check_models(models)[0]
return np.diag(np.ones(self.shape()))
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