Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Neufcourt, Léo"'
To improve the predictability of complex computational models in the experimentally-unknown domains, we propose a Bayesian statistical machine learning framework utilizing the Dirichlet distribution that combines results of several imperfect models.
Externí odkaz:
http://arxiv.org/abs/2311.01596
Publikováno v:
Phys. Rev. C 109, 044305 (2024)
Large-scale computations of fission properties are an important ingredient for nuclear reaction network calculations simulating rapid neutron-capture process (the r process) nucleosynthesis. Due to the large number of fissioning nuclei contributing t
Externí odkaz:
http://arxiv.org/abs/2310.01608
We study the information content of nuclear masses from the perspective of global models of nuclear binding energies. To this end, we employ a number of statistical methods and diagnostic tools, including Bayesian calibration, Bayesian model averagin
Externí odkaz:
http://arxiv.org/abs/2002.04151
Autor:
Neufcourt, Léo, Cao, Yuchen, Giuliani, Samuel A., Nazarewicz, Witold, Olsen, Erik, Tarasov, Oleg B.
Publikováno v:
Phys. Rev. C 101, 044307 (2020)
The chart of the nuclides is limited by particle drip lines beyond which nuclear stability to proton or neutron emission is lost. Predicting the range of particle-bound isotopes poses an appreciable challenge for nuclear theory as it involves extreme
Externí odkaz:
http://arxiv.org/abs/2001.05924
Autor:
Neufcourt, Léo, Cao, Yuchen, Giuliani, Samuel, Nazarewicz, Witold, Olsen, Erik, Tarasov, Oleg B.
Publikováno v:
Phys. Rev. C 101, 014319 (2020)
The limits of the nuclear landscape are determined by nuclear binding energies. Beyond the proton drip lines, where the separation energy becomes negative, there is not enough binding energy to prevent protons from escaping the nucleus. Predicting pr
Externí odkaz:
http://arxiv.org/abs/1910.12624
This article studies Bayesian model averaging (BMA) in the context of competing expensive computer models in a typical nuclear physics setup. While it is well known that BMA accounts for the additional uncertainty of the model itself, we show that it
Externí odkaz:
http://arxiv.org/abs/1904.04793
A novel approach of accurately reconstructing storage ring's linear optics from turn-by-turn (TbT) data containing measurement error is introduced. This approach adopts a Bayesian inference based on the Markov Chain Monte-Carlo (MCMC) algorithm, whic
Externí odkaz:
http://arxiv.org/abs/1902.11157
Autor:
Neufcourt, Léo, Protter, Philip
When expanding a filtration with a stochastic process it is easily possible for semimartingale no longer to remain semimartingales in the enlarged filtration. Y. Kchia and P. Protter indicated a way to avoid this pitfall in 2015, but they were unable
Externí odkaz:
http://arxiv.org/abs/1902.06780
Publikováno v:
Phys. Rev. Lett. 122, 062502 (2019)
The region of heavy calcium isotopes forms the frontier of experimental and theoretical nuclear structure research where the basic concepts of nuclear physics are put to stringent test. The recent discovery of the extremely neutron-rich nuclei around
Externí odkaz:
http://arxiv.org/abs/1901.07632
Autor:
Neufcourt, Léo
A theory of expansion of filtrations has been developed since the 1970s to model dynamic probabilistic problems with asymmetric information. It has found a special echo in mathematical finance around the concept of insider trading, which has appeared