Evaluating radiation transport errors in merger simulations using a Monte Carlo algorithm
Abstract
Neutrino-matter interactions play an important role in the postmerger evolution of neutron star-neutron star and black hole-neutron star mergers. Most notably, they determine the properties of the bright optical/infrared transients observable after a merger. Unfortunately, Boltzmann's equations of radiation transport remain too costly to be evolved directly in merger simulations. Simulations rely instead on approximate transport algorithms with unquantified modeling errors. In this paper, we use for the first time a time-dependent general relativistic Monte Carlo (MC) algorithm to solve Boltzmann's equations and estimate important properties of the neutrino distribution function ∼ 10 ms after a neutron star merger that resulted in the formation of a massive neutron star surrounded by an accretion disk. We do not fully couple the MC algorithm to the fluid evolution, but use a short evolution of the merger remnant to critically assess errors in our approximate gray two-moment transport scheme. We demonstrate that the analytical closure used by the moment scheme is highly inaccurate in the polar regions, but performs well elsewhere. While the average energy of polar neutrinos is reasonably well captured by the two-moment scheme, estimates for the neutrino energy become less accurate at lower latitudes. The two-moment formalism also overestimates the density of neutrinos in the polar regions by ∼ 50 % , and underestimates the neutrino pair-annihilation rate at the poles by factors of 2–3. Although the latter is significantly more accurate than one might have expected before this study, our results indicate that predictions for the properties of polar outflows and for the creation of a baryon-free region at the poles are likely to be affected by errors in the two-moment scheme, thus limiting our ability to reliably model kilonovae and gamma-ray bursts.
Additional Information
© 2018 American Physical Society. Received 8 June 2018; published 11 September 2018. The authors thank the members of the SXS Collaboration for helpful discussions over the course of this project. F. F. acknowledges support from NASA through Grant No. 80NSSC18K0565. M. D. acknowledges support through NSF Grant No. PHY-1402916. H. P. gratefully acknowledges support from the NSERC Canada, the Canada Research Chairs Program and the Canadian Institute for Advanced Research. L. K. acknowledges support from NSF Grant No. PHY-1606654, and M. S. from NSF Grants No. PHY-1708212, No. PHY-1708213, and No. PHY-1404569. L. K. and M. S. also thank the Sherman Fairchild Foundation for their support. Computations were performed on the supercomputer Briarée from the Université de Montréal, managed by Calcul Québec and Compute Canada. The operation of these supercomputers is funded by the Canada Foundation for Innovation (CFI), NanoQuébec, RMGA and the Fonds de recherche du Québec—Nature et Technologie (FRQ-NT). Computations were also performed on the Zwicky and Wheeler clusters at Caltech, supported by the Sherman Fairchild Foundation and by NSF Award No. PHY-0960291.Attached Files
Published - PhysRevD.98.063007.pdf
Submitted - 1806.02349.pdf
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Additional details
- Eprint ID
- 89515
- Resolver ID
- CaltechAUTHORS:20180911-081808846
- NASA
- 80NSSC18K0565
- NSF
- PHY-1402916
- Natural Sciences and Engineering Research Council of Canada (NSERC)
- Canada Research Chairs Program
- Canadian Institute for Advanced Research (CIFAR)
- NSF
- PHY-1606654
- NSF
- PHY-1708212
- NSF
- PHY-1708213
- NSF
- PHY-1404569
- Sherman Fairchild Foundation
- Canada Foundation for Innovation
- NanoQuébec
- RMGA
- Fonds de recherche du Québec - Nature et technologies (FRQNT)
- NSF
- PHY-0960291
- Created
-
2018-09-11Created from EPrint's datestamp field
- Updated
-
2021-11-16Created from EPrint's last_modified field
- Caltech groups
- TAPIR, Walter Burke Institute for Theoretical Physics