High-energy-density (HED) experiments in convergent geometry are able to test physical models at pressures beyond hundreds of millions of atmospheres. The measurements from these experiments are generally highly integrated and require unique analysis techniques to procure quantitative information. This work describes a methodology to constrain the physics in convergent HED experiments by adapting the methods common to many other fields of physics. As an example, a mechanical model of an imploding shell is constrained by data from a thin-shelled direct-drive exploding-pusher experiment on the OMEGA laser system using Bayesian inference, resulting in the reconstruction of the shell dynamics and energy transfer during the implosion. The model is tested by analyzing synthetic data from a one-dimensional hydrodynamics code and is sampled using a Markov chain Monte Carlo to generate the posterior distributions of the model parameters. The goal of this work is to demonstrate a general methodology that can be used to draw conclusions from a wide variety of HED experiments.

中文翻译：

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在千兆位压力下约束物理模型

收敛几何学中的高能密度（HED）实验能够在超过数亿个大气压的压力下测试物理模型。这些实验的测量结果通常高度集成，需要独特的分析技术来获取定量信息。这项工作描述了一种方法，通过适用于许多其他物理领域的通用方法，可以限制聚合HED实验中的物理学。例如，使用贝叶斯推断，在OMEGA激光系统上使用薄壳直接驱动爆炸-推进实验获得的数据限制了爆炸壳的力学模型，从而在爆炸过程中重建了壳动力学和能量传递。该模型通过分析来自一维流体力学代码的合成数据进行测试，并使用马尔可夫链蒙特卡洛进行采样以生成模型参数的后验分布。这项工作的目的是证明可用于从各种HED实验得出结论的通用方法。