Difference between revisions of "Rlx scalar.m"
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{{DISPLAYTITLE:rlx_scalar.m}} __NOTOC__ | {{DISPLAYTITLE:rlx_scalar.m}} __NOTOC__ | ||
| − | + | Computes a scalar-relaxation superoperator using Redfield theory for cases where the system has a static background Hamiltonian and a perturbation multiplied by a scalar stochastic function, such as scalar hyperfine relaxation; the function is called by the Spinach relaxation theory module and may also be invoked directly. | |
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==Syntax== | ==Syntax== | ||
Revision as of 19:16, 5 June 2026
Computes a scalar-relaxation superoperator using Redfield theory for cases where the system has a static background Hamiltonian and a perturbation multiplied by a scalar stochastic function, such as scalar hyperfine relaxation; the function is called by the Spinach relaxation theory module and may also be invoked directly.
Syntax
R=rlx_scalar(spin_system,H0,H1,tau_c_array)
Parameters
H0 - background Hamiltonian
H1 - the stochastically modulated interaction operator
multiplied by its root mean square modulation depth
tau_c - the correlation time of the stochastic modulation
Outputs
R - relaxation superoperator as a negative definite matrix
Notes
If H1(t) has a non-zero average value, it must be subtracted out and put into H0.
See also
relaxation.m, expmint.m, lindbladian.m, rlx_t1_t2.m
Version 2.1, authors: Ilya Kuprov
