Identifying Neutron Sources using Recoil and Time-of-Flight Spectroscopy
Fuente:
arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866910213496373248 |
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| author | Breitenmoser, David Lopez, Ricardo Clarke, Shaun D. Pozzi, Sara A. |
| author_facet | Breitenmoser, David Lopez, Ricardo Clarke, Shaun D. Pozzi, Sara A. |
| contents | Neutron-source identification is central to nuclear physics and its applications, from planetary science to nuclear security, yet direct source discrimination from measured neutron spectra remains fundamentally elusive. Here, we introduce a Bayesian protocol that directly infers source ensembles from measured neutron spectra by combining full-spectrum template matching with probabilistic evidence evaluation. Applying this protocol to recoil and time-of-flight spectroscopy, we recover single- and two-source configurations with strong statistical significance ($>\!\!4σ$) at event counts as low as $\sim\!\!10^{3}$. These results demonstrate that neutron spectral signatures can be leveraged for robust source identification, opening a new observational window for both fundamental research and operationally driven applications. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_10044 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Identifying Neutron Sources using Recoil and Time-of-Flight Spectroscopy Breitenmoser, David Lopez, Ricardo Clarke, Shaun D. Pozzi, Sara A. Instrumentation and Detectors Nuclear Experiment Applied Physics Data Analysis, Statistics and Probability Neutron-source identification is central to nuclear physics and its applications, from planetary science to nuclear security, yet direct source discrimination from measured neutron spectra remains fundamentally elusive. Here, we introduce a Bayesian protocol that directly infers source ensembles from measured neutron spectra by combining full-spectrum template matching with probabilistic evidence evaluation. Applying this protocol to recoil and time-of-flight spectroscopy, we recover single- and two-source configurations with strong statistical significance ($>\!\!4σ$) at event counts as low as $\sim\!\!10^{3}$. These results demonstrate that neutron spectral signatures can be leveraged for robust source identification, opening a new observational window for both fundamental research and operationally driven applications. |
| title | Identifying Neutron Sources using Recoil and Time-of-Flight Spectroscopy |
| topic | Instrumentation and Detectors Nuclear Experiment Applied Physics Data Analysis, Statistics and Probability |
| url | https://arxiv.org/abs/2512.10044 |