GAMMA: a new method for modelling relativistic hydrodynamics and non-thermal emission on a moving mesh

被引:8
|
作者
Ayache, Eliot H. [1 ]
van Eerten, Hendrik J. [1 ]
Eardley, Rupert W. [1 ]
机构
[1] Univ Bath, Dept Phys, Claverton Down BA2 7AY, England
基金
英国工程与自然科学研究理事会;
关键词
hydrodynamics; radiation mechanisms: non-thermal; shock waves; methods: numerical; software: simulations; gamma-ray bursts; RAY BURST; PARTICLE-ACCELERATION; LIGHT CURVES; RIEMANN SOLVER; AFTERGLOW; JET; DYNAMICS; SHOCKS; SIMULATIONS; CONSTRAINTS;
D O I
10.1093/mnras/stab3509
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
In recent years, dynamical relativistic jet simulation techniques have progressed to a point where it is becoming possible to fully numerically resolve gamma-ray burst (GRB) blast-wave evolution across scales. However, the modelling of emission is currently lagging behind and limits our efforts to fully interpret the physics of GRBs. In this work we combine recent developments in moving-mesh relativistic dynamics with a local treatment of non-thermal emission in a new code: GAMMA. The code involves an arbitrary Lagrangian-Eulerian approach only in the dominant direction of fluid motion that avoids mesh entanglement and associated computational costs. Shock detection, particle injection, and local calculation of their evolution including radiative cooling are done at runtime. Even though GAMMA has been designed with GRB physics applications in mind, it is modular such that new solvers and geometries can be implemented easily with a wide range of potential applications. In this paper, we demonstrate the validity of our approach and compute accurate broad-band GRB afterglow radiation from early to late times. Our results show that the spectral cooling break shifts by a factor of similar to 40 compared to existing methods. Its temporal behaviour also significantly changes from the previously calculated temporary steep increase after the jet break. Instead, we find that the cooling break does not shift with time between the relativistic and Newtonian asymptotes when computed from our local algorithm. GAMMA is publicly available at: https://github.com/eliotayache/gamma.
引用
收藏
页码:1315 / 1330
页数:16
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