| Zugriffsnummer | 43809 |
| Dokumenttyp | Zeitschriftenartikel |
| Peer Review | mit Peer Review |
| Sprache | Englisch |
| Titel | An unfolding algorithm for high resolution microcalorimetric beta spectrometry |
| Autor(in); Institution |
Paulsen, Michael Christoph; 7.6, Kryosensorik, PTB-Berlin
Kossert, Karsten; 6.1, Radioaktivität, PTB-Braunschweig
Beyer, Jörn; 7.6, Kryosensorik, PTB-Berlin
|
| Quelle/Jahr | Nuclear Instruments and Methods in Physics Research A: 953 (2020), 9 S. |
| Artikelnummer | 163128 |
| ISSN | 0168-9002 (PRINT) ; 1872-9576 (ONLINE) |
| DOI | |
| Verlag | Amsterdam [u.a.]: Elsevier |
| Freie Schlagworte | PTB high performance compute cluster |
| Zusammenfassung | In this work, a matrix inversion algorithm for beta spectrometers is proposed that relies on Monte Carlo simulations of single-energy bin distributions. The algorithm allows for high resolution statistical correction of measured beta spectra and does not lead to underdetermined equation systems. An advantage of the method is that a prior knowledge of the true spectrum is not needed. The algorithm is consistent for unfolding beta spectra measured with Metallic Magnetic Calorimeters that employ 4π solid angle absorbers. It also shows considerable potential for being applied to microcalorimeters with other absorber geometries. |
| Kostenfreier Zugang | Open Access Hybrid |
| Rechteinformation | CC BY 4.0 ; Creative Commons Attribution 4.0 License |