43 citations · 76 across the 25 of their papers we have counts for
25 papers
Bayesian Inference for Extracting Barrier Distributions from Fusion Excitation Functions
Aaron Philip, Pablo Giuliani, Kyle Godbey
Barrier distributions encode rich information about the structure and dynamics of fusing nuclei, but extracting them from experimental fusion cross sections requires an estimate of…
Emulating Density Functional Theory Calculations via Empirical Interpolation
Daniel Lay, Pablo Giuliani, Kyle Godbey
Nuclear density functional theory (DFT) is a suitable tool for predicting nuclear ground-state and fission properties. Statistical uncertainty quantification is desirable to make t…
High-Precision Mass Measurements of 52Ni and 51Co Reveal Breakdown of the Isobaric Multiplet Mass Equation in the f p Shell
F. M. Maier, G. Bollen, B. A. Brown +10
We performed high-precision mass measurements of the proton-rich nuclei Ni and Co with the LEBIT Penning trap at the Facility for Rare Isotope Beams (FRIB). For $^{52…
Matter radii from interaction cross sections using microscopic nuclear densities
A. J. Smith, K. Godbey, C. Hebborn +3
Understanding how nuclear size evolves with the number of protons and neutrons tests our models of strongly interacting matter. The nuclear charge (and proton) radii accessible thr…
Wavefunction-Based Emulation of Coupled-Channels Scattering with Non-Affinely Parametrized Interactions
M. Catacora-Rios, Kyle Beyer, Pablo Giuliani +3
Physics based emulators offer a fast and reliable replacement for an exact solution of the scattering problem in nuclear physics. Previous work developed a reduced-basis emulator f…
Enhanced antineutrino emission from decay in core-collapse supernovae with self-consistent weak decay rates
T. Dasher, A. Ravlić, S. Lalit +2
Nuclear weak-interaction rates are known to exert a prominent effect in the late-stages of stellar collapse. Despite their importance, most studies to date on core-collapse superno…
Finite-range pairing in nuclear density functional theory
Sudhanva Lalit, Paul-Gerhard Reinhard, Kyle Godbey +1
Pairing correlations are ubiquitous in low-energy states of atomic nuclei. To incorporate them within nuclear density functional theory, often used for global computations of nucle…
Paths to Superheavy Nuclei
K. Godbey, F. M. Nunes, M. Albertsson +16
This document summarizes the discussions and outcomes of the Facility for Rare Isotope Beams Theory Alliance (FRIB-TA) topical program "The path to Superheavy Isotopes" held in Jun…
Computing nuclear response functions with time-dependent coupled-cluster theory
Francesca Bonaiti, Cody Balos, Kyle Godbey +3
We compute nuclear response functions by solving the time-dependent A-body Schrödinger equation, recording the time-dependent transition moment and extracting spectral information…
The mass of Sn and Bayesian extrapolations to the proton drip line
Christian M. Ireland, Georg Bollen, Scott E. Campbell +23
The favorable energy configurations of nuclei at magic numbers of neutrons and protons are fundamental for understanding the evolution of nuclear structure. The ${Z=50}…
Nuclear Beavers
Joshua Wylie, Pablo Giuliani, Kyle Godbey +1
Nuclear physics is a very abstract field with little accessibility for wider audiences, and yet it is a field of physics with far reaching implications for everyday life. The Nucle…
Emulators for Scarce and Noisy Data: Application to Auxiliary-Field Diffusion Monte Carlo for Neutron Matter
Cassandra L. Armstrong, Pablo Giuliani, Kyle Godbey +2
Understanding the equation of state (EOS) of pure neutron matter is necessary for interpreting multimessenger observations of neutron stars. Reliable data analyses of these observa…
Reduced Basis Method for Few-body Bound State Emulation
R. Y. Cheng, K. Godbey, Y. B. Niu +3
Recent advances in both theoretical and computational methods have enabled large-scale, precision calculations of the properties of atomic nuclei. With the growing complexity of mo…
Motivations for Early High-Profile FRIB Experiments
B. Alex Brown, Alexandra Gade, S. Ragnar Stroberg +39
This white paper is the result of a collaboration by those that attended a workshop at the Facility for Rare Isotope Beams (FRIB), organized by the FRIB Theory Alliance (FRIB-TA),…
Barrier distribution extraction via Gaussian process regression
Kyle Godbey
This work presents a novel method for extracting potential barrier distributions from experimental fusion cross sections. We utilize a simple Gaussian process regression (GPR) fram…
Genetic Programming for the Nuclear Many-Body Problem: a Guide
Illya Bakurov, Pablo Giuliani, Kyle Godbey +3
Genetic Programming is an evolutionary algorithm that generates computer programs, or mathematical expressions, to solve complex problems. In this Guide, we demonstrate how to use…
Model orthogonalization and Bayesian forecast mixing via Principal Component Analysis
Pablo Giuliani, Kyle Godbey, Vojtech Kejzlar +1
One can improve predictability in the unknown domain by combining forecasts of imperfect complex computational models using a Bayesian statistical machine learning framework. In ma…
Emulators for scarce and noisy data: application to auxiliary field diffusion Monte Carlo for the deuteron
Rahul Somasundaram, Cassandra L. Armstrong, Pablo Giuliani +3
The validation, verification, and uncertainty quantification of computationally expensive theoretical models of quantum many-body systems require the construction of fast and accur…
ROSE: A reduced-order scattering emulator for optical models
Daniel Odell, Pablo Giuliani, Kyle Beyer +6
A new generation of phenomenological optical potentials requires robust calibration and uncertainty quantification, motivating the use of Bayesian statistical methods. These Bayesi…
Multimodal fission from self-consistent calculations
Daniel Lay, Eric Flynn, Sylvester Agbemava +4
When multiple fission modes coexist in a given nucleus, distinct fragment yield distributions appear. Multimodal fission has been observed in a number of fissioning nuclei spanning…
Normalizing Flows for Bayesian Posteriors: Reproducibility and Deployment
Yukari Yamauchi, Landon Buskirk, Pablo Giuliani +1
We present a computational framework for efficient learning, sampling, and distribution of general Bayesian posterior distributions. The framework leverages a machine learning appr…
Nucleonic Shells and Nuclear Masses
Landon Buskirk, Kyle Godbey, Witold Nazarewicz +1
The binding energy of an isotope is a sensitive indicator of the underlying shell structure as it reflects the net energy content of a nucleus. Since magic nuclei are significantly…
Bayes goes fast: Uncertainty Quantification for a Covariant Energy Density Functional emulated by the Reduced Basis Method
Pablo Giuliani, Kyle Godbey, Edgard Bonilla +2
A covariant energy density functional is calibrated using a principled Bayesian statistical framework informed by experimental binding energies and charge radii of several magic an…
Nudged elastic band approach to nuclear fission pathways
Eric Flynn, Daniel Lay, Sylvester Agbemava +4
The nuclear fission process is a dramatic example of the large-amplitude collective motion in which the nucleus undergoes a series of shape changes before splitting into distinct f…