Math

The hamiltonian we are using for the NMR systems is of the form

where are the gyromagnetic factors and the chemical shifts of nuclear spin , and denotes the coupling between spins and , and , with being the usual spin operators.

Within NMR we have a strong magnetic field in the -direction, and electromagnetic pulses / oscillating fields are applied to flip the spins into the plane. Since is typically of the order of 500Mhz, the pulses of 10kHz bandwidth, and the required resolution is sub 1Hz, we refrain from modelling the explicit time dependence of the pulses. Instead we model the pulses directly by calculating the spectral function, i.e., time-dependent correlations between the corresponding operators.

The spectrum measured in an NMR experiment corresponds to the spectral function calculated in the HQS NMR Tool.

Calculation of the spectral function

We calculate the spectral function as the imaginary part of the spin-spin correlation function

the operators, , contain the gyromagnetic factors for convenience, and is the real time dependence.

The contribution of an individual nuclear spin to the full NMR spectrum is obtained via

while the full NMR signale is the sum of individual contributions.

Temperature

For a typical NMR setup temperature is very large compared to the energy scales in the NMR Hamiltonian. Thus, we have to take finite or even infinite temperature into account. We define the partition sum

with the inverse temperature and arrive at

Here, the last equation is a Lehmann type spectral representation, which is suitable if the complete spectrum is known. are the eigenenergies of the spin NMR-Hamiltonian.

Resolvent formulation

In order to avoid having to determine the complete spectrum, we write the Green's function directly in operator form, where we have to introduce a convergence ensuring factor (broadening) and taking care of causality

The broadening is formally necessary to ensure the convergence of the Fourier integral. In practice it corresponds to the unknown or neglected noise, being intrinsic or the resolution limitation of the spectrometer.

Energy rediscretization

One problem that arises in the resolvent formulation is that the NMR peaks are usually very sharp. Discretizing the frequency axis with a very fine grid is computationally ineffective. We therefore perform several rounds of computing the spectral function. We start with a linear grid in frequency space and a rather large artificial broadening . We then iteratively rediscretize the frequency space in equal weight partitions of the total spectral function while reducing in each step until we reach the desired broadening. To this end we obtain a non-linear adaptive grid with accumulation points at the spectral function peaks.