Converting between common conventions¤
Here, helper functions for converting between common conventions are described.
cryojax.constants.convert_b_factor_to_variance(b_factor: Float[Array | np.ndarray, ...] | float) -> Float[Array, ...]
¤
From the B-factor of a gaussian, return the corresponding value of the variance of the gaussian. This simply does the conversion
\[\sigma^2 = B / (8 \pi^2)\]
The purpose of this function is to make it easy to convert between conventions when defining gaussians.
Arguments:
b_factor: The B-factor of the gaussian.
Returns:
The variance.
cryojax.constants.convert_variance_to_b_factor(variance: Float[Array | np.ndarray, ...] | float) -> Float[Array, ...]
¤
From the variance of a gaussian, return the corresponding value of the B-factor of the gaussian. This simply does the conversion
\[B = 8 \pi^2 * \sigma^2\]
The purpose of this function is to make it easy to convert between conventions when defining gaussians.
Arguments:
variance: The variance of the gaussian.
Returns:
The B-factor.