First application of Markov chain Monte Carlo-based Bayesian data analysis to the Doppler-shift attenuation method
نویسندگان
چکیده
Motivated primarily by the large uncertainties in thermonuclear rate of $^{30}$P$(p,\gamma)^{31}$S reaction that limit our understanding classical novae, we carried out lifetime measurements $^{31}$S excited states using Doppler Shift Lifetimes (DSL) facility at TRIUMF Isotope Separator and Accelerator (ISAC-II) facility. The were populated $^{3}$He$(^{32}$S$,\alpha)^{31}$S reaction. deexcitation $\gamma$ rays detected a clover-type high-purity germanium detector coincidence with $\alpha$ particles silicon telescope. We have applied modern Markov chain Monte Carlo-based Bayesian methods to perform lineshape analyses Doppler-shift attenuation method $\gamma$-ray data for first time. determined lifetimes two lowest-lying states. First experimental upper limits on four higher-lying been obtained. results compared shell-model calculations five universal $sd$-shell Hamiltonians. Evidence originating from astrophysically important $J^\pi=3/2^+$, 260-keV resonance has also observed, although strong constraints will require better statistics.
منابع مشابه
Bayesian Computation Via Markov Chain Monte Carlo
A search for Markov chain Monte Carlo (or MCMC) articles on Google Scholar yields over 100,000 hits, and a general web search on Google yields 1.7 million hits. These results stem largely from the ubiquitous use of these algorithms in modern computational statistics, as we shall now describe. MCMC algorithms are used to solve problems in many scientific fields, including physics (where many MCM...
متن کاملBayesian Generalised Ensemble Markov Chain Monte Carlo
Bayesian generalised ensemble (BayesGE) is a new method that addresses two major drawbacks of standard Markov chain Monte Carlo algorithms for inference in highdimensional probability models: inapplicability to estimate the partition function and poor mixing properties. BayesGE uses a Bayesian approach to iteratively update the belief about the density of states (distribution of the log likelih...
متن کاملMarkov chain Monte Carlo for Bayesian inference
The chord length transform (CLT) is a useful tool to analyze fibre structures. Assuming e.g. arandom process of straight fibres then a realization of such a process can be observed in a binaryimage. The CLT maps to each point in the foreground of a binary image and to each direction thelength of the related chord, where the chord is the connecting part of a line in the direction...
متن کاملMarkov Chain Monte Carlo Analysis of Underreported Count Data With an Application to Worker Absenteeism
A new approach for modeling under reported Poisson counts is developed The parameters of the model are estimated by Markov Chain Monte Carlo simulation An application to workers absenteeism data from the German Socio Economic Panel illustrates the fruitfulness of the approach Worker absenteeism and the level of pay are unrelated but absence rates increase with rm size I had helpful discussions ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Physics Letters B
سال: 2023
ISSN: ['0370-2693', '1873-2445']
DOI: https://doi.org/10.1016/j.physletb.2023.137801