/*-
* 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 uk.ac.diamond.scisoft.analysis.processing.operations.reflectivityandsxrd;
import org.eclipse.dawnsci.analysis.api.processing.OperationData;
import org.eclipse.dawnsci.analysis.api.processing.OperationException;
import org.eclipse.dawnsci.analysis.api.processing.OperationRank;
import org.eclipse.dawnsci.analysis.dataset.operations.AbstractOperation;
import org.eclipse.dawnsci.analysis.dataset.slicer.SliceFromSeriesMetadata;
import org.eclipse.january.DatasetException;
import org.eclipse.january.IMonitor;
import org.eclipse.january.dataset.Dataset;
import org.eclipse.january.dataset.IDataset;
import org.eclipse.january.dataset.ILazyDataset;
import org.eclipse.january.dataset.Maths;
import uk.ac.diamond.scisoft.analysis.dataset.function.Interpolation1D;
import uk.ac.diamond.scisoft.analysis.processing.operations.utils.ProcessingUtils;
public class ReflectivityFluxCorrectionOperation extends AbstractOperation<FluxCorrectionModel, OperationData> {
@Override
public String getId() {
return "uk.ac.diamond.scisoft.analysis.processing.operations.reflectivityandsxrd.ReflectivityFluxCorrectionOperation";
}
@Override
public OperationRank getInputRank() {
return OperationRank.TWO ;
}
@Override
public OperationRank getOutputRank() {
return OperationRank.TWO ;
}
protected OperationData process(IDataset input, IMonitor monitor){
/*
* Method takes in a 2D image (Dataset) and returns flux corrected image.
*/
SliceFromSeriesMetadata tmp1 = input.getFirstMetadata(SliceFromSeriesMetadata.class);
IDataset m = null;
Dataset[] fluxData = RecoverNormalisationFluxBatch.normalisationFlux(input, model.getPath());
ILazyDataset qdcd = null;
if ((boolean) (model.getPath().equalsIgnoreCase("NO") ||(model.getPath().equalsIgnoreCase(null)))){
try {
qdcd = ProcessingUtils.getLazyDataset(this, input.getFirstMetadata(SliceFromSeriesMetadata.class).getFilePath(), ReflectivityMetadataTitles.getqsdcd()).getSlice();
m = tmp1.getMatchingSlice(qdcd);
} catch (OperationException e) {
// TODO Auto-generated catch block
} catch (DatasetException e) {
// TODO Auto-generated catch block
}
}
else{
try {
qdcd = ProcessingUtils.getLazyDataset(this,tmp1.getFilePath(), ReflectivityMetadataTitles.getqdcd()).getSlice();
m = tmp1.getMatchingSlice(qdcd);
} catch (OperationException e) {
// TODO Auto-generated catch block
} catch (DatasetException e) {
// TODO Auto-generated catch block
}
}
//test1
Dataset flux = (Dataset) Interpolation1D.splineInterpolation(fluxData[0], fluxData[1], m);;
Dataset output = Maths.divide(input,flux);
return new OperationData(output);
}
}
//test