MixMatch
Estimate an approximating Gaussian mixture for observed data that maximizes the expected log pointwise predictive density.
Lawrence Berkeley National Lab [seminar] [PDF of slides]
In this talk, I will give an overview of the nucleon sigma term and its applications, particularly its central role in direct dark matter searches. I will briefly summarize and contrast some recent work and describe how CalLat intends to calculate this quantity. Finally I will present some preliminary work from our collaboration.
Estimate an approximating Gaussian mixture for observed data that maximizes the expected log pointwise predictive density.
mars (model averaging by resampling stochastically) is a module for creating a bootstrap distribution of a model-averaged quantity, taking resampled (i.e....
Scale Setting Workshop at ECT* [PDF of slides]
JHEP, 04(2025)098 [arXiv:2411.07969]
Lattice 2024 [PDF of slides]
Wrapper of lsqfit for computing various information criteria, particularly those listed in arXiv:2208.14983 [stat.ME], using vegas.
Sixth Plenary Workshop of the Muon g-2 Theory Initiative [PDF of slides]
Lawrence Berkeley National Lab [seminar] [PDF of slides]
PoS(Lattice2021) Volume 396 (2022) [arXiv:2201.01343]
Los Alamos National Lab [invited talk] [PDF of slides]
Chiral Dynamics 2021 bulletin [PDF of slides]
Graphical user interface for lsqfit using dash.
Lattice 2021 bulletin [PDF of slides]
Director’s review of the Nuclear Science Division [PDF of poster]
Python code for our scale setting analysis.
Phys. Rev. D 103, 054511 (2021) [arXiv:2011.12166]
American Physical Society bulletin [PDF of slides]
A python noteboook for plotting points and lines, expressly written for making spacetime diagrams. To get started with a tutorial, launch the binder inst...
Phys. Rev. D 102, 034507 (2020) [arXiv:2005.04795]
Python code for our $F_K/F_\pi$ analysis.