Replication Data for: Self-organising phenomena in 2D complex plasma simulations withnon-mono dispersed dust size distributions

Complex plasma with a variety of continuous and discrete dust grain size distributions are simulated in 2D with molecular dynamics simulations with radial geometry to determine differences in self-organizing phenomena to more realistically represent the actual in situ variations in dust-size. The standard deviation of particle size σ(a) strongly correlates with phase separation and coupling parameter Γ for all distribution types. We observe local differences in bond order parameters and Voronoi diagrams for different size distributions, and our results suggest that phase transition is affected by continuous size distributions, particularly in the binary distribution case. Simulations with discrete size result in artifacts and discontinuities that are not found in the continuous distributions. The use of continuous distributions is observed to be beneficial both for more realistic approximation of complex plasma experiments and to study systems of strongly coupled particles in general. The data is normalized and can be reverted back to SI-units where the SI-units are specified in the normalization.txt file, where a = coefficient for length such that a * data_value = SI unit value The data is created using the PPDyn code from https://github.com/sayanadhikari/PPDyn本研究采用径向几何构型下的二维分子动力学模拟，对具备多种连续与离散尘埃粒径分布的复杂等离子体开展模拟，旨在明确其自组织现象的差异，以更真实地复现尘埃粒径的原位实际变化情况。对于所有分布类型，粒子尺寸标准差σ(a)均与相分离现象及耦合参数Γ存在强相关性。本研究观测到不同粒径分布下键序参数与沃罗诺伊（Voronoi）图存在局部差异，结果表明连续粒径分布会对相变产生影响，在二元分布场景下这一效应尤为显著。采用离散粒径的模拟会产生伪影与不连续性，而这类现象在连续分布的模拟中并未出现。研究表明，采用连续粒径分布不仅能够更真实地复现复杂等离子体实验，还可用于一般性的强耦合粒子系统研究。本数据集已完成归一化处理，可还原为国际单位制（SI）单位，国际单位制的具体说明详见normalization.txt文件，其中a为长度系数，满足关系式 a × 数据值 = 国际单位制下的物理量值。本数据集基于PPDyn代码生成，代码开源地址为https://github.com/sayanadhikari/PPDyn