Sine bell and squared Sine bell window multiplication

In this example, we use sine bell or squared sine bell window multiplication to apodize a NMR signal in the time domain.

import os

import spectrochempy as scp

path = os.path.join(
    scp.preferences.datadir, "nmrdata", "bruker", "tests", "nmr", "topspin_1d"
)
dataset1D = scp.read_topspin(path, expno=1, remove_digital_filter=True)

Normalize the dataset values and reduce the time domain

dataset1D /= dataset1D.real.data.max()  # normalize
dataset1D = dataset1D[0.0:15000.0]

Apply Sine bell window apodization with parameter ssb=2, which correspond to a cosine function

new1, curve1 = scp.sinm(dataset1D, ssb=2, retapod=True, inplace=False)

this is equivalent to

_ = dataset1D.sinm(ssb=2, retapod=True, inplace=False)

or also

_ = scp.sp(dataset1D, ssb=2, pow=1, retapod=True, inplace=False)

Apply Sine bell window apodization with parameter ssb=2, which correspond to a sine function

new2, curve2 = dataset1D.sinm(ssb=1, retapod=True, inplace=False)

Apply Squared Sine bell window apodization with parameter ssb=1 and ssb=2

new3, curve3 = scp.qsin(dataset1D, ssb=2, retapod=True, inplace=False)

new4, curve4 = dataset1D.qsin(ssb=1, retapod=True, inplace=False)

Apply shifted Sine bell window apodization with parameter ssb=8 (mixed sine/cosine window)

new5, curve5 = dataset1D.sinm(ssb=8, retapod=True, inplace=False)

Plotting

p = dataset1D.plot(zlim=(-2, 2), color="k")

curve1.plot(color="r", clear=False)
new1.plot(
    data_only=True, color="r", clear=False, label=" sinm with ssb= 2 (cosine window)"
)

curve2.plot(color="b", clear=False)
new2.plot(
    data_only=True, color="b", clear=False, label=" sinm with ssb= 1 (sine window)"
)

curve3.plot(color="m", clear=False)
new3.plot(data_only=True, color="m", clear=False, label=" qsin with ssb= 2")

curve4.plot(color="g", clear=False)
new4.plot(data_only=True, color="g", clear=False, label=" qsin with ssb= 1")

curve5.plot(color="c", ls="--", clear=False)
new5.plot(
    data_only=True,
    color="c",
    ls="--",
    clear=False,
    label=" sinm with ssb= 8",
    legend="best",
)

<_Axes: xlabel='F1 acquisition time $\\mathrm{/\\ \\mathrm{µs}}$', ylabel='values $\\mathrm{}$'>

This ends the example ! The following line can be uncommented if no plot shows when running the .py script with python

# scp.show()