DPL94 math

Equation

[math] \mathrm{R}_{1\rho}= \mathrm{R}_1\cos^2\theta + \left( \mathrm{R}_{1\rho}{´} + \frac{\Phi_\textrm{ex} \textrm{k}_\textrm{ex}}{\textrm{k}_\textrm{ex}^2 + \omega_\textrm{e}^2} \right) \sin^2\theta [/math]

Expressing in terms of $\textrm{w}_\textrm{1}, \textrm{w}_\textrm{eff}$
[math] \sin^2\theta \left( \frac{\Phi_\textrm{ex} \textrm{k}_\textrm{ex}}{\textrm{k}_\textrm{ex}^2 + \omega_\textrm{e}^2} \right) = \frac{w_\textrm{1}^2}{w_\textrm{eff}^2} \cdot \left( \frac{\Phi_\textrm{ex} \textrm{k}_\textrm{ex}}{\textrm{k}_\textrm{ex}^2 + w_\textrm{1}^2 + \Omega^2} \right) = \frac{w_\textrm{1}^2}{w_\textrm{1}^2 + \Omega^2} \cdot \left( \frac{\Phi_\textrm{ex} \textrm{k}_\textrm{ex}}{\textrm{k}_\textrm{ex}^2 + w_\textrm{1}^2 + \Omega^2} \right) [/math]

Ramp code

import matplotlib.pyplot as plt
import numpy as np
from math import atan2

phi = 2.0
kex = 3.0

def calc(w1_arr, Omega_arr, p, k):
    val_arr = []
    for w1 in w1_arr:
        for Omega in Omega_arr:
            theta = atan2(w1 , Omega)
            val = w1**2/(w1**2+Omega**2) * (p*k/(k**2 + w1**2 + Omega**2))
            #val = (p*k/(k**2 + w1**2 + Omega**2))
            val_arr.append([w1, Omega, theta, val])
    return np.array(val_arr)

w1 = np.arange(0., 20, 1)
Omega = np.array([5])
data = calc(w1, Omega, phi, kex)

plt.figure(1)
plt.plot(data[:,2], data[:,3], '.')

Omega = np.arange(0., 20, 1)
w1 = np.array([5])
data = calc(w1, Omega, phi, kex)

plt.figure(2)
plt.plot(data[:,2], data[:,3], '.')

plt.show()

Figure

See Figure 1 and 10 in the reference.

Palmer, A.G. & Massi, F. (2006). Characterization of the dynamics of biomacromolecules using rotating-frame spin relaxation NMR spectroscopy. Chem. Rev. 106, 1700-1719 DOI

Try to reproduce Figure 1.

Figure produced with script found here.