Two-Moment Neutrino Flavor Transformation with applications to the Fast Flavor Instability in Neutron Star Mergers

Multi-Messenger Astrophysics (MMA) has produced a wealth of data with much more to come in the future. This enormous data set will reveal new insights into the physics of Core Collapse SuperNovae (CCSN), Binary Neutron Star Mergers (BNSM), and many other objects where it is actually possible, if not probable, that new physics is in operation. To tease out different possibilities, we will need to analyze signals from photons, neutrinos, gravitational waves, and chemical elements. This task is made all the more difficult when it is necessary to evolve the neutrino component of the radiation field and associated quantum-mechanical property of flavor in order to model the astrophysical system of interest -- a numerical challenge that has not been addressed to this day. In this work, we take a step in this direction by adopting the technique of angular-integrated moments with a truncated tower of dynamical equations and a closure, convolving a flavor-transformation with spatial transport to evolve the neutrino radiation quantum field. We show that moments capture the dynamical features of Fast Flavor Instabilities (FFI) and provide comparable results to a more precise particle-in-cell method. We propose areas for improvement in the future.Comment: 27 pages, 4 tables, 11 figure

Neutrino flavor mixing with moments

The successful transition from core-collapse supernova simulations using classical neutrino transport to simulations using quantum neutrino transport will require the development of methods for calculating neutrino flavor transformations that mitigate the computational expense. One potential approach is the use of angular moments of the neutrino field, which has the added appeal that there already exist simulation codes which make use of moments for classical neutrino transport. Evolution equations for quantum moments based on the quantum kinetic equations can be straightforwardly generalized from the evolution of classical moments based on the Boltzmann equation. We present an efficient implementation of neutrino transformation using quantum angular moments in the free streaming, spherically symmetric bulb model. We compare the results against analytic solutions and the results from more exact multi-angle neutrino flavor evolution calculations. We find that our moment-based methods employing scalar closures predict, with good accuracy, the onset of collective flavor transformations seen in the multi-angle results. However in some situations they overestimate the coherence of neutrinos traveling along different trajectories. More sophisticated quantum closures may improve the agreement between the inexpensive moment-based methods and the multi-angle approach.Comment: Accepted in Physical Review

Electoral uncertainty, fiscal policy and macroeconomic fluctuations

In this paper we study the link between elections, fiscal policy and aggregate fluctuations. The setup is a stylized dynamic stochastic general equilibrium model incorporating both technology and political re-election shocks. The latter are incorporated via a two-party model with elections. The main theoretical prediction is that forward-looking incumbents, with uncertain prospects of re-election, find it optimal to follow relatively shortsighted fiscal policies, and that this hurts capital accumulation. Our econometric estimation, using U.S. data, finds a statistically significant link between electoral uncertainty and policy instruments and in turn macroeconomic outcomes