elexsys Module¶

The elexsys module contains functions for importing elexsys data.

Functions¶

load_DAT(filename)¶

Import Bruker Binary .DAT ELEXSYS data

Parameters:	filename (str) – path to data file in string format
Returns:	Experimental data as numpy array. No reshaping or formatting applied. Complex or multi-dimensional data must be subsequently processed.
Return type:	numpy.ndarray

load_DSC(filename)¶

Import Bruker ASCII Parameters .DSC File

Parameters:	filename (str) – Path to parameters file in string format
Returns:	Dictionary of Descriptor Information in DSC file
Return type:	dict

load_elexsys(filename)¶

Import Elexsys Data

Parameters:	filename (str) – Filename of data
Returns:	tuple containing: dimsList (numpy.ndarray, list): Numpy array of data if data is 1d, otherwise returns a list of the dimension arrays data (numpy.ndarray): Numpy array of data
Return type:	tuple

Example - 1d elexsys data¶

import numpy as np
from matplotlib.pylab import *
import pyDEER as deer

filename = './data/20170602_NR119_test/DEER_NR119_55ave'

t, data = deer.load_elexsys(filename)

figure()
plot(t, data)
xlabel('Time (ns)')
ylabel('Signal (a.u.)')
show()

Example - 2d elexsys data¶

import numpy as np
from matplotlib.pylab import *
import pyDEER as deer

filename = './data/20181119_Cu-PAGE/Cu-PAGE_hyscore_11270G_150d1'

x, hyscore = deer.load_elexsys(filename)

# For 2d data, first output is a list of axes
t1 = x[0]
t2 = x[1]

# 2d image plot
figure()
imshow(np.real(hyscore), aspect = 'auto', origin = 'lower', extent = [t1[0], t1[-1], t2[0], t2[-1]])
xlabel('t1 (ns)')
ylabel('t2 (ns)')
show()