mr2.operators.models.BMC.SuperLorentzianMT

class mr2.operators.models.BMC.SuperLorentzianMT[source]

Bases: MTSaturation

Super-Lorentzian lineshape for MT saturation.

__init__(pool_index: int, t2: Tensor, samples: int = 101) → None[source]

Initialize the super-Lorentzian MT model.

samples: int

Quadrature samples for numerical integration.

pool_index: int

Index of the MT pool in the pool dimension.

t2: torch.Tensor

Transverse relaxation time in seconds.

__call__(delta_omega: Tensor) → Tensor[source]

Evaluate (G(Delta)) [s].

Parameters:

delta_omega (Tensor) – Detuning in rad/s.

Returns:

Lineshape value.

forward(*input: Any) → None

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.