Note
Go to the end to download the full example code.
Processing Relaxation measurement
Processing NMR spectra taken for relaxation measurements
Requires the official spectrochempy-nmr plugin.
Install with: pip install spectrochempy[nmr].
Import API
import spectrochempy as scp
# short version of the unit registry
U = scp.ur
Importing a pseudo 2D NMR spectra
Define the folder where are the spectra
datadir = scp.preferences.datadir
nmrdir = datadir / "nmrdata" / "bruker" / "tests" / "nmr"
dataset = scp.nmr.read_topspin(nmrdir / "relax" / "100" / "ser", use_list="vdlist")
/home/runner/work/spectrochempy/spectrochempy/.venv/lib/python3.13/site-packages/spectrochempy/core/readers/importer.py:226: UserWarning: No module named 'spectrochempy_hypercomplex'
warning_(str(e))
Analysing the data
Print dataset summary
dataset
Plot the dataset
ds = dataset.em(lb=15 * U.Hz)
ds = ds.fft()
ds = ds.pk(phc0=-10 * U.deg, phc1=0 * U.deg)
ds.plot(xlim=(-60, -140))
Traceback (most recent call last):
File "/home/runner/work/spectrochempy/spectrochempy/build/~gallery_examples/processing/nmr/plot_processing_nmr_relax.py", line 42, in <module>
ds = dataset.em(lb=15 * U.Hz)
^^^^^^^^^^
AttributeError: 'NoneType' object has no attribute 'em'
Integrate a region
dsint = ds[:, -90.0:-115.0].simpson()
dsint.plot(marker="^", ls=":")
dsint.real
Fit a model
create an Optimize object using a simple leastsq method
fitter = scp.Optimize(log_level="INFO", method="leastsq")
Define the model to fit
def T1_model(t, I0, T1): # no underscore in parameters names.
# T1 relaxation model
import numpy as np
I = I0 * (1 - np.exp(-t / T1))
return I
Add the model to the fitter usermodels as it it not a built-in model
fitter.usermodels = {"T1_model": T1_model}
Define the parameter variables using a script (parameter: value, low_bound, high_bound) no underscore in parameters names.
fitter.script = """
MODEL: T1
shape: T1_model
$ I0: 1000.0, 1, none
$ T1: 2.0, 0.1, none
"""
Performs the fit
fitter.fit(dsint)
som = fitter.predict()
som
fitter.plotmerit(dsint, som, method="scatter", title="T1 relaxation fitting")
This ends the example ! The following line can be removed or commented
when the example is run as a notebook (ipynb).
# scp.show()
Total running time of the script: (0 minutes 0.014 seconds)