/*-
* Copyright 2016 Diamond Light Source Ltd.
*
* All rights reserved. This program and the accompanying materials
* are made available under the terms of the Eclipse Public License v1.0
* which accompanies this distribution, and is available at
* http://www.eclipse.org/legal/epl-v10.html
*/
package org.dawnsci.surfacescatter;
import org.eclipse.dawnsci.analysis.api.io.IDataHolder;
import org.eclipse.dawnsci.analysis.dataset.slicer.SliceFromSeriesMetadata;
import org.eclipse.january.DatasetException;
import org.eclipse.january.dataset.Dataset;
import org.eclipse.january.dataset.DatasetUtils;
import org.eclipse.january.dataset.IDataset;
import org.eclipse.january.dataset.ILazyDataset;
import org.eclipse.january.dataset.SliceND;
import uk.ac.diamond.scisoft.analysis.io.LoaderFactory;
import uk.ac.diamond.scisoft.analysis.processing.operations.utils.ProcessingUtils;
/**This class is generate an array ([2]) datasets of the X-ray flux at given theta values. These are used to correct X-ray reflectivity
* measurements
*
*
*/
public class RecoverNormalisationFluxBatchForDialog {
public static Dataset[] normalisationFlux(String path, ExampleModel model){
ILazyDataset flux = null;
ILazyDataset theta = null;
Dataset[] fluxData = new Dataset[2];
if (model.getFlux() == null) {
try{
IDataHolder dh1 =LoaderFactory.getData(path);
flux =dh1.getLazyDataset(ReflectivityMetadataTitlesForDialog.getadc2());
model.setFlux(flux);
theta =dh1.getLazyDataset(ReflectivityMetadataTitlesForDialog.getqdcd_());
model.setTheta(theta);
}
catch (Exception e){
System.out.println("No normalisation data availbale externally");
}
try {
flux = DatasetUtils.sliceAndConvertLazyDataset(ProcessingUtils.getLazyDataset(null, model.getFilepath(), "ionc1"));
theta = DatasetUtils.sliceAndConvertLazyDataset(ProcessingUtils.getLazyDataset(null, model.getFilepath(), "qsdcd"));
}
catch (Exception e){
System.out.println("No normalisation data available internally");
}
}
else{
flux = model.getFlux();
theta = model.getTheta();
}
SliceND sliceF = new SliceND(flux.getShape());
SliceND sliceT = new SliceND(theta.getShape());
try {
fluxData[0] = (Dataset) theta.getSlice(sliceT);
fluxData[1]= (Dataset) flux.getSlice(sliceF);;
} catch (DatasetException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
return fluxData;
}
public static Dataset[] normalisationFlux(String path, String filepath){
ExampleModel model = new ExampleModel();
model.setFilepath(filepath);
return normalisationFlux(path, model);
}
}
//TEST