Jonah MillerPostdoc CCS2/CTA/CNLS Computational Astrophysics Office: TA3, Bldg 1690, Room 142 Mail Stop: B258 Phone: (505) 6658387 Fax: (505) 6657652 jonahm@lanl.gov home page Research highlight Discontinuous Galerkin Methods for General Relativity:
 Relativistic Accretion After Binary Neutron Star Mergers:
  Educational Background/Employment: B.A., Summa Cum Laude in Physics and Mathematics (2013)  University of Colorado at Boulder, USA
 PhD, Theoretical Physics (2017)  University of Guelph joint with the Perimeter Institute for Theoretical Physics, Canada
 2017Present, Postdoc at Los Alamos National Laboratory
Research Interests:  Compact Objects A compact object is the core of a dead
star, so dense that general relativity is required to model
it. Typically these are black holes and neutron stars. I am interested
in using computer simulations to model these systems.
 Kilanova Modeling The 2017 detection of the inspiral and
merger of two neutron stars was a landmark discovery in
astrophysics. We now know that the merger of these ultracompact
stellar remnants is a central engine of short gamma ray bursts and a
site of rprocess nucleosynthesis, where the heaviest elements in our
universe are formed. In the coming years, we expect many more such
mergers. Therefore, we now have the opportunity to askand
answerfundamental questions about these systems. What are the
dynamics driving the gamma ray burst? Is the relativistic burst of
material out the poles driven by neutrino annihilation or magnetic
fields? What fraction of these socalled ``jets'' escapes and what
fraction is slowed down by ambient material? What fraction of the
rprocess nucleosynthetic yields comes from material in the tidal
tails of the merging stars and what fraction comes from wind driven
off of material accreting onto the central remnant? The answers to
these questions depend sensitively on a complex interplay of general
relativity, plasma physics, nuclear physics, and neutrino physics. I
model these systems using advanced computer simulations.
 Numerical Methods For Partial Differential Equations From
traffic flow, to fluids and plasmas, to neutrino radiation,
differential equations help us model the world around us. I am
interested in developing new, more efficient methods to solve these
critical systems. In particular, my expertise lies in hyperbolic
differential equations, such as the incompressible Euler equations or
the BSSN Formulation of the Einstein equations. I am most interested
in developing and applying spectral and discontinuous Galerkin
methods, but I am also interested in finite volume methods and Monte
Carlo methods. I have also become recently involved in efforts to
combine machine learning approaches with these techniques.
Selected Recent Publications: See my full list of publications here
 J. Piotrowska, JMM, E, Schnetter Spectral Methods in the Presence of Discontinuities, arXiv:1712.09952
 L. Kidder et al. SpECTRE: A TaskBased Discontinuous Galerkin Code for Relativistic Astrophysics Journal of Computational Physics, DOI: 10.1016/j.jcp.2016.12.059
 JMM, E. Schnetter An OperatorBased Local Discontinuous Galerkin Method Compatible With the BSSN Formulation of the Einstein Equations Classical and Quantum Gravity, DOI: 10.1088/13616382/34/1/015003
