Stitches single histogram Matrix Workspaces together outputting a stitched Matrix Workspace. This algorithm is a wrapper over algm-Stitch1D.
The algorithm expects pairs of StartOverlaps and EndOverlaps values. The order in which these are provided determines the pairing. There should be N entries in each of these StartOverlaps and EndOverlaps lists, where N = 1 -(No of workspaces to stitch). StartOverlaps and EndOverlaps are in the same units as the X-axis for the workspace and are optional.
The workspaces must be histogrammed. Use algm-ConvertToHistogram on workspaces prior to passing them to this algorithm.
Example - a basic example using Stitch1DMany to stitch two workspaces together.
ExStitch1DManySimple
import numpy as np
- def gaussian(x, mu, sigma):
"""Creates a gaussian peak centered on mu and with width sigma.""" return (1/ sigma * np.sqrt(2 * np.pi)) * np.exp( - (x-mu)2 / (2*sigma2))
#create two histograms with a single peak in each one x1 = np.arange(-1, 1, 0.02) x2 = np.arange(0.4, 1.6, 0.02) ws1 = CreateWorkspace(UnitX="1/q", DataX=x1, DataY=gaussian(x1[:-1], 0, 0.1)+1) ws2 = CreateWorkspace(UnitX="1/q", DataX=x2, DataY=gaussian(x2[:-1], 1, 0.05)+1)
#stitch the histograms together workspaces = ws1.name() + "," + ws2.name() stitched, scale = Stitch1DMany(InputWorkspaces=workspaces, StartOverlaps=[0.4], EndOverlaps=[0.6], Params=[0.02])
Output:
Example - a practical example using reflectometry data and a scale factor.
ExStitch1DPractical
trans1 = Load('INTER00013463') trans2 = Load('INTER00013464')
trans1_wav = CreateTransmissionWorkspaceAuto(trans1) trans2_wav = CreateTransmissionWorkspaceAuto(trans2)
workspaces = trans1_wav.name() + ',' + trans2_wav.name() stitched_wav, y = Stitch1DMany(workspaces, params='1, 0.05, 17', UseManualScaleFactor=True, ManualScaleFactor=0.85)
Output:
