Data repository for the Center for Astrophysics, Space Physics/Engineering Research at Baylor University
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1 to 10 of 44 Results
Feb 18, 2022 - Dust and Ion Dynamics
Matthews, Lorin, 2020, "Matlab files", https://doi.org/10.18738/T8/KZLM7L, Texas Data Repository, V3
Matlab scripts used to produce the graphs in "Dust Charging in Dynamic Ion Wakes". An overview of each script and the data files it requires is given in "supporting_data_and_code.docx"
Feb 1, 2022 - The initial structure of chondrule dust rims II: charged grains
Xiang, Chuchu, 2022, "Replication Data for: The initial structure of chondrule dust rims II: charged grains", https://doi.org/10.18738/T8/J4ZQJC, Texas Data Repository, V1
Matlab code to analyze results and reproduce figures
Feb 1, 2022 - Chondrule Formation
Matthews, Lorin, 2022, "The initial structure of chondrule dust rims I: electrically neutral grains", https://doi.org/10.18738/T8/4TPCQC, Texas Data Repository, V1
Publication on chondrule rims
Chondrule Formation(Baylor University)
Feb 1, 2022
Programs and data associated with publications on formation of chondrule rims
Apr 29, 2021 - Dust as Probes determining confinement and interaction forces
Ashrafi, Khandaker Sharmin, 2021, "Replication Data for: Dust as Probes", https://doi.org/10.18738/T8/3ZJGI1, Texas Data Repository, V1
Final data set and Matlab files used to produce figures in publication
Apr 29, 2021
Replication data for" Dust as probes: determining confinement and interaction forces", Ashrafi et al., Physical Review E, 102, 043210, 2020
Mar 25, 2021 - A machine learning-based Bayesian optimization solution to nonlinear responses in dusty plasmas
Matthews, Lorin; Ding, Zhiyue; Hyde, Truell, 2021, "Replication Data for: A machine learning-based Bayesian optimization solution to nonlinear responses in dusty plasmas", https://doi.org/10.18738/T8/2YVAGU, Texas Data Repository, V1
Python code for machine learning method to extract coefficients for equation of motion of two interacting dust particles in a plasma environment. Data from experimental measurement of the thermal motion of two vertically-aligned particles are given in the Matlab workspace.
Mar 25, 2021
Replication files for: A machine learning-based Bayesian optimization solution to nonlinear responses in dusty plasmas, Z. Ding, L. S. Matthews and T. W. Hyde, Machine Learning Science and Technology, accepted February 2021. https://iopscience.iop.org/article/10.1088/2632-2153/ab...
Mar 22, 2021 - Aggregate Builder Constant Population
Matthews, Lorin, 2021, "Aggregate_builder_constant_population", https://doi.org/10.18738/T8/CPP7OC, Texas Data Repository, V1
Aggregate Builder constant population -- uses a MC algorithm to select colliding pair based on the collision probability of all possible pairs. Chooses an elapsed time interval for each collision.
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