Lab Home | Phone | Search
Center for Nonlinear Studies  Center for Nonlinear Studies
 Home 
 People 
 Current 
 Affiliates 
 Visitors 
 Students 
 Research 
 ICAM-LANL 
 Publications 
 Conferences 
 Workshops 
 Sponsorship 
 Talks 
 Colloquia 
 Colloquia Archive 
 Seminars 
 Postdoc Seminars Archive 
 Quantum Lunch 
 CMS Colloquia 
 Q-Mat Seminars 
 Q-Mat Seminars Archive 
 Archive 
 Kac Lectures 
 Dist. Quant. Lecture 
 Ulam Scholar 
 Colloquia 
 
 Jobs 
 Students 
 Summer Research 
 Student Application 
 Visitors 
 Description 
 Past Visitors 
 Services 
 General 
 PD Travel Request 
 
 History of CNLS 
 
 Maps, Directions 
 CNLS Office 
 T-Division 
 LANL 
 
Amy Lovell

Postdoc
CNLS/T-2

Nuclear reaction theory

Amy Lovell

Office: TA-03, Bldg 1690, Room 119
Mail Stop: B258
Phone: (505)606-0966
Fax: (505) 665-2659

lovell@lanl.gov
home page

Research highlight
  • Uncertainty quantification for nuclear theory models
  • Comparison of uncertainty quantification methods
  • Improving the description of optical model potentials
  • Machine learning for parametric optimization
  • Utilizing correlated fission observables
 Educational Background/Employment:
  • Ph.D. (2018) Nuclear Physics, Michigan State University
  • M.S. (2015) Physics, Michigan State University
  • B.S. (2013) Physics, Rensselaer Polytechnic Institute
  • B.S. (2013) Mathematics, Rensselaer Polytechnic Institute
  • Employment:
    • May 2018-Present Postoctoral Research Assosiate, T-2/CNLS, Los Alamos National Laboratory

Research Interests:

    All nuclear theory models contain uncertainties from a variety of sources, including a reduction of the model space, numeric and model approximations, and the use of model parameters that must be constrained by experimental data. These introduce uncertainties in the final calculations that should be rigorously quantified. In particular, Bayesian methods have become popular recently and have been used to quantify uncertainties coming from many of these sources, including those due to the fitting of phenomenological potentials between projectiles and targets to experimental data (the focus of part of my dissertation work). I am further interested in using a variety of optimization techniques to construct global optimizations across the nuclear chart. Since starting my post-doc at LANL, I have become interested in fission models, in particular understanding and utilizing correlations between observables to extract information indirectly (e.g. extracting neutron multiplicity information from calculations/measurements of gamma-rays and fission fragment energies). I am also interesting in using machine learning to make predictions for fission models as a way to both increase the speed of calculations and interpolate/extrapolate from sparse experimentally measured data.

Selected Recent Publications:

  1. A.E. Lovell and F.M. Nunes, Constraining transfer cross sections using Bayes' theorem, Phys. Rev. C. 97,064612 (2018).
  2. A.E. Lovell S. Srinivasan, S. Karra, D. O'Malley, N. Makedonska, H.S. Viswanathan, G. Srinivasan, J.W. Carey, and L.P Frash, Extracting Hydrocarbon From Shale: An Investigation of the Factors That Influence the Decline and the Tail of the Production Curve, Water Resources Research 54,3748 (2018).
  3. A.E. Lovell, P.-L. Bacq, P. Capel, F.M. Nunes, and L.J. Titus, Energy dependence of nonlocal optical potentials, Phys. Rev. C. 96,051601(R) (2017).
  4. A.E. Lovell, F.M. Nunes, and I.J. Thompson, Three-body model for the two-neutron emission of 16Be, Phys. Rev. C. 95,034605 (2017).
  5. A.E. Lovell, F.M. Nunes, J. Sarich, and S.M. Wild, Uncertainty quantification for optical model parameters, Phys. Rev. C. 95,024611 (2017).
  6. A.E. Lovell and F.M. Nunes, Systematic uncertainties in direct reaction theories, J. Phys. G: Nucl. and Part. Phys. 42,034014 (2015).
LANL Operated by the Los Alamos National Security, LLC for the National Nuclear Security Administration of the US Department of Energy.
Copyright © 2003 LANS, LLC | Disclaimer/Privacy