On the possibility of obtaining non-diffused proximity functions from cloud-chamber data: I. Fourier deconvolution
A mathematical procedure, using Fourier deconvolution, is described whereby diffusion-free proximity functions can be obtained from cloud-chamber data. Such non-diffused distributions can be used to obtain further microdosimetric and nanodosimetric quantities hitherto not available from experiments,...
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Veröffentlicht in: | Physics in medicine & biology 1988-11, Vol.33 (11), p.1261-1272 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | A mathematical procedure, using Fourier deconvolution, is described whereby diffusion-free proximity functions can be obtained from cloud-chamber data. Such non-diffused distributions can be used to obtain further microdosimetric and nanodosimetric quantities hitherto not available from experiments, thus making the cloud chamber an almost ideal nanodosimeter. |
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ISSN: | 0031-9155 1361-6560 |
DOI: | 10.1088/0031-9155/33/11/004 |