Binning is an essential process in reflectivity reduction within QuickNXS,
organizing raw data into manageable intervals for accurate analysis.
There are two types of binning: time-of-flight binning and Q binning.
An initial time-of-flight binning step processes the raw event data from the
sample run and direct beam run to allow for normalization. This step is
mandatory.
There is an optional Q binning step, which is the last thing that happens
when the reflectivity curve is calculated.
This guide explains the available binning options in QuickNXS and how to configure them.
What It Does: Controls the binning of the final reduced workspace (converted to Q-space).
How It Works:
There are three options for Q binning, which happens when the reflectivity
data is converted to Q-space:
None: the counts from the pixels in the region-of-interest are summed
in pixel-time space and then converted to Q. No additional binning.
Normal binning: the counts from the pixels in the region-of-interest
are summed in pixel-time space and then converted to Q. Finally, the
resulting counts vs Q data is binned according to the configured Q
binning.
Constant-Q binning: the data is first converted to Q and then summed
according to the configured Q binning to produce counts vs Q.
For Normal binning and Constant-Q binning, rebinning is performed
using Q Steps, in units of 1/Å:
If positive, bins are evenly spaced.
If negative, bins are spaced logarithmically using a geometric progression.
How to Use It: Select the binning type either in the reduction table
or (for the active run) in the left-hand side panel Reflectivity
Extraction (Per Run).
Select the binning type and Q steps for each run, either in the reduction
table or in the panel Reflectivity Extraction (Per Run). Alternatively,
to set the same binning type and Q steps for all runs in the reduction
table, use the button Apply to all runs under Reflectivity Extraction
(Global).
The reflectivity plot is updated automatically when updating binning
options.
By adjusting these options, users can customize their reflectivity reduction
workflow to achieve the desired data resolution and accuracy.