polymathic-ai/supernova_explosion_128

该数据集模拟了星系中湍流星际介质中的超新星爆炸。模拟解决了一个单原子理想气体压缩内部的爆炸，该气体遵循比热比γ=5/3的状态方程。这些模拟中的气体模拟了银河系中的星际介质。模拟开始时，超新星的热能被注入模拟盒的中心，热气体（约10^7 K）立即被加速并形成冲击波。由于热气体的速度变得超音速，需要极高的分辨率和极小的时间步长来解析动力学。物理量分布在七个数量级上，这需要大量的模拟步骤。数据集包含59个时间步长的128×128×128立方体，提供压力（标量场）、密度（标量场）、温度（标量场）和速度（张量场）等字段。初始条件为820个随机种子生成的等温气体球，具有遵循速度谱E(k) ∝ k^-2的湍流。数据存储的时间间隔为100至10,000年（可变时间步长），总时间范围为0年至0.2 Myr，空间域大小为60 pc。数据集的总大小估计为754 GB。

The dataset simulates supernova explosions in turbulent interstellar mediums within galaxies. The simulations solve an explosion inside a compression of a monatomic ideal gas, which follows the equation of state with the specific heat ratio γ=5/3. The gas in these simulations mocks the interstellar medium in the Milky Way Galaxy. At the beginning of the simulations, the thermal energy of a supernova is dumped at the center of the simulation box, and the hot gas (~10^7 K) is immediately accelerated to create a blastwave. Because the velocities of the hot gas become supersonic, much fine resolution and small timestep are required to resolve the dynamics. The physical quantities are distributed across seven orders of magnitude, necessitating a large number of simulation steps. The dataset includes 59 time-steps of 128×128×128 cubes, with fields such as pressure (scalar field), density (scalar field), temperature (scalar field), and velocity (tensor field). Initial conditions are 820 random seeds generating an isothermal gas sphere with turbulence following the velocity spectrum E(k) ∝ k^-2. Data are stored at intervals of 100 to 10,000 years (variable timesteps), with a total time range from 0 yr to 0.2 Myr and a spatial domain size of 60 pc. The estimated size of the ensemble of all simulations is 754 GB.