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

DOI

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

Identifier
DOI https://doi.org/10.18710/NG4GD5
Related Identifier https://doi.org/10.1088/1402-4896/ad37dd
Metadata Access https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/NG4GD5
Provenance
Creator Holen, Gaute Arnesson ORCID logo; Sayan Adhikari ORCID logo
Publisher DataverseNO
Contributor Holen, Gaute Arnesson; University of Oslo; Sayan Adhikari
Publication Year 2024
Funding Reference ERC CoG grant agreement 866 357 ; Sigma2-the National Infrastructure for High Performance Computing and Data Storage in Norway NN9987K
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Holen, Gaute Arnesson (University of Oslo)
Representation
Resource Type HDF5 files; Dataset
Format text/plain; application/octet-stream; text/x-python-script; application/x-hdf5
Size 7652; 3518; 7972; 1434; 1429; 1428; 1476; 1430; 499; 511; 570; 562; 497; 568; 567; 569; 492; 566; 3800; 175967864; 88087912
Version 1.0
Discipline Natural Sciences; Physics