Bayesian inference of nonpositive spectral functions in quantum field theory
We present the generalization to nonpositive definite spectral functions of a recently proposed Bayesian deconvolution approach (BR method). The novel prior used here retains many of the beneficial analytic properties of the original method; in particular, it allows us to integrate out the hyperpara...
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| Main Author: | |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
17 March 2017
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| In: |
Physical review
Year: 2017, Volume: 95, Issue: 5 |
| ISSN: | 2470-0029 |
| DOI: | 10.1103/PhysRevD.95.056016 |
| Online Access: | Verlag, Volltext: http://dx.doi.org/10.1103/PhysRevD.95.056016 Verlag, Volltext: https://link.aps.org/doi/10.1103/PhysRevD.95.056016 
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| Author Notes: | Alexander Rothkopf |
| Summary: | We present the generalization to nonpositive definite spectral functions of a recently proposed Bayesian deconvolution approach (BR method). The novel prior used here retains many of the beneficial analytic properties of the original method; in particular, it allows us to integrate out the hyperparameter α directly. To preserve the underlying axiom of scale invariance, we introduce a second default-model related function, whose role is discussed. Our reconstruction prescription is contrasted with existing direct methods, as well as with an approach where shift functions are introduced to compensate for negative spectral features. A mock spectrum analysis inspired by the study of gluon spectral functions in QCD illustrates the capabilities of this new approach. |
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| Item Description: | Gesehen am 26.04.2018 |
| Physical Description: | Online Resource |
| ISSN: | 2470-0029 |
| DOI: | 10.1103/PhysRevD.95.056016 |