neutronpy.data.data.Data¶

class neutronpy.data.data.Data(Q=None, h=0.0, k=0.0, l=0.0, e=0.0, temp=0.0, detector=0.0, monitor=0.0, error=None, time=0.0, time_norm=False, **kwargs)[source]¶

Data class for handling multi-dimensional scattering data. If input file type is not supported, data can be entered manually.

Parameters:

Q : array_like, optional: Default: None. Q in a column oriented array of [q_x, q_y, q_z, ℏω, T]
h : ndarray or float, optional: Default: 0. Array of Q_x in reciprocal lattice units.
k : ndarray or float, optional: Default: 0. Array of Q_y in reciprocal lattice units.
l : ndarray or float, optional: Default: 0. Array of Q_x in reciprocal lattice units.
e : ndarray or float, optional: Default: 0. Array of ℏω in meV.
temp : ndarray or float, optional: Default: 0. Array of sample temperatures in K.
detector : ndarray or float, optional: Default: 0. Array of measured counts on detector.
monitor : ndarray or float, optional: Default: 0. Array of measured counts on monitor.
time : ndarray or float, optional: Default: 0. Array of time per point in minutes.
time_norm : bool, optional: Default: False. If True, calls to intensity and error with normalize to time instead of monitor

Attributes:

h: Returns lattice parameter q_x, i.e. h
k: Returns lattice parameter q_y, i.e. k
l: Returns lattice parameter q_z, i.e. l
e: Returns energy transfer
temp: Returns temperature
intensity: Returns the monitor or time normalized intensity
error: Returns error of monitor or time normalized intensity
detailed_balance_factor: Returns the detailed balance factor (sometimes called the Bose

Methods

`bin`(to_bin[, build_hkl])	Rebin the data into the specified shape.
`combine_data`(obj, **kwargs)	Combines multiple data sets
`subtract_background`(background_data[, x, ret])	Subtract background data.
`integrate`([bounds, background, hkle])	Returns the integrated intensity within given bounds
`position`([bounds, background, hkle])	Returns the position of a peak within the given bounds
`width`([bounds, background, fwhm, hkle])	Returns the mean-squared width of a peak within the given bounds
`estimate_background`(bg_params)	Estimate the background according to `type` specified.
`subtract_background`(background_data[, x, ret])	Subtract background data.
`dynamic_susceptibility`(material, ei)	Returns the dynamic susceptibility \(\chi^{\prime\prime}(\mathbf{Q},\hbar\omega)\)
`scattering_function`(material, ei)	Returns the neutron scattering function, i.e.
`plot`([x, y, z, w, show_err, to_bin, …])	Plots the data in the class.
`plot_volume`(x, y, z, w[, to_bin, …])	Plots a 3D volume of 4D data
`plot_contour`(x, y, z[, to_bin, …])	Method for plotting a 2D contour plot of 3D data
`plot_line`(x, y[, show_err, to_bin, …])	Method to Plot a line of 2D data
`get_keys`(hkle)	Returns all of the Dictionary key names
`get_bounds`(bounds)	Generates a to_fit tuple if bounds is present in kwargs