用无网格蒙特卡罗辐射转移对光滑粒子流体动力学密度场的自然合成成像
Native Synthetic Imaging of Smoothed Particle Hydrodynamics density fields using gridless Monte Carlo Radiative Transfer
摘要：
本文提出了一种利用光滑粒子流体动力学（SPH）密度场自适应特性生成合成望远镜图像的算法。成像过程使用蒙特卡罗辐射转移（MCRT）方法来模拟密度场中光子包的散射和吸收，然后光子包离开系统并在像素化图像平面上被捕获，从而创建2D图像（或3D数据立方体，如果光子也按其波长分组）。该算法直接在密度场上实现：不需要对场进行网格化，使得密度场的描述与产生密度场的模拟具有相同的精度水平。本文介绍了该方法在恒星和行星形成模拟中的一些应用，以说明这种新技术的优点，并对该框架如何支持辐射平衡算法提出了建议，作为未来发展的指示。
英文摘要：
An algorithm for creating synthetic telescope images of Smoothed Particle Hydrodynamics (SPH) density fields is presented, which utilises the adaptive nature of the SPH formalism in full. The imaging process uses Monte Carlo Radiative Transfer (MCRT) methods to model the scattering and absorption of photon packets in the density field, which then exit the system and are captured on a pixelated image plane, creating a 2D image (or a 3D datacube, if the photons are also binned by their wavelength). The algorithm is implemented on the density field directly: no gridding of the field is required, allowing the density field to be described to an identical level of accuracy as the simulations that generated it. Some applications of the method to star and planet formation simulations are presented to illustrate the advantages of this new technique, and suggestions as to how this framework could support a Radiative Equilibrium algorithm are also given as an indication for future development.
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