Nuclear detectors are a very challenging design problem because unlike light detectors featuredin computational photography, all the elements of the detectors do interact with the particles being tracked. This is the case in particular of neutron detectors. As I was reading on the subject ( in Radiation Detection and Measurement ) for the purpose of evaluating a compressive equivalent to current technology, I came across the problem that is well studied in this area called spectrum unfolding, i.e. the fitting of the energy spectrum recorded by detectors as a linear combination of simple spectra of known interaction of the detector with specific particles at specific energy.. This is a situation that is encountered in hyperspectral unmixing: or how can a signal be decomposed as a series of different spectra found in some dictionary. To give more context here is a good introduction on the subject in this presentation entitled: Unfolding techniques for neutron spectrometry by Marcel Reginatto
Of interest is that none of the "newer" methods of investigation include reconstruction solvers used in compressive sneisng:.
Surely, L1 minimization would provide good results here as well. The next step would be to design a sensor that permits either a faster way of performing this spectrum unfolding or provide additional spatial information , a feature that is currently not available.More on that later....
Other papers and webpages of interest:
- Unfolding Methods by Manfred Matzke
- Unfolding of Neutron Energy Spectra With Fisher Regularisation by Dehimi, F.Z.; Seghour, A.; El Hak Abaidia, S.
- MEASUREMENT AND SIMULATION OF LIQUID SCINTILLATOR NEUTRON RESPONSE
Lucia Cartegni* and Sara A. Pozzi
- Deconvolution of neutron spectra
- Unfolding of Neutron and Photon Spectra
- Applications of Neural Networks for Free Unfolding of Experimental Data from Fusion Neutron Spectrometers by E. Ronchi, S. Conroy, E. Andersson Sunden, G. Ericsson, M. Gatu Johnson, C. Hellesen, H. Sjostrand, M. Weiszflog and JET EFDA contributors
- Bayesian and maximum entropy methods for fusion diagnostic measurements with compact neutron spectrometers by Reginatto, Marcel Zimbal, Andreas