Bulletin of the American Physical Society
86th Annual Meeting of the APS Southeastern Section
Volume 64, Number 19
Thursday–Saturday, November 7–9, 2019; Wrightsville Beach, North Carolina
Session L03: Statistical, Nonlinear, and Nuclear Physics Calculation Techniques |
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Chair: Lamiaa El Fassi, Mississippi State University Room: Holiday Inn Resort Turtlewatch |
Saturday, November 9, 2019 4:30PM - 4:42PM |
L03.00001: Four New Contributions to the Local Stress Tensor in Molecular Models of Matter J. Matthew Mansell There exists considerable controversy regarding the local stress tensor and pressure tensor fields in molecular models of matter. While most researchers agree that these fields are not uniquely defined, they have nonetheless gained attention in recent years as a result of evidence that they may be uniquely defined, and may explain a wide range of anomalous phenomena. I briefly describe the current methods of calculating these fields, and the evidence for and against the existence of a unique definition of each field. I then present four new contributions to the topic. The first is the description of an error in a key dataset which had supported the existence of unique definitions. The second is a generalization of the current definitions in systems of a certain symmetry, arising from the recognition of an unjustified constraint. The third is a new method to rapidly obtain the pressure field according to any acceptable definition from the many-body density. The fourth consists of possible additional constraints on the definition of these fields, arising from relationships with the analogous fields in macroscopic, continuum models. It is hoped that these ideas will motivate increased discussion, and hasten the resolution of the current controversy. [Preview Abstract] |
Saturday, November 9, 2019 4:42PM - 4:54PM |
L03.00002: Control applied to pattern formation in non-linear reaction-diffusion systems Jason Czak, Connor Mackert, Michel Pleimling The Gray-Scott model has been subject of numerous investigations. Due to the nonlinear nature of the coupled reaction-diffusion equations, the system exhibits interesting behavior for certain parameter sets. In many previous studies of this system investigators have used a limited range of parameter values dictated by neglecting diffusion effects. Through systematic parameter adjustment we are able to find novel system pattern formations that were previously overlooked. We present a comprehensive view of these pattern regions and discuss effects of control schemes applied to this system. [Preview Abstract] |
Saturday, November 9, 2019 4:54PM - 5:06PM |
L03.00003: Clustering Beta-decay Waveforms using Machine Learning Micah Cruz Many experiments record data as digitized waveforms and then apply filters to the waveforms to extract various information. Prior to full analysis of the collected data, it is useful to apply various diagnostic tools for identifying spurious or corrupt data. One current method of diagnosing this data is via clustering, which is a machine learning procedure. Clustering methods work by grouping similar data based on some given parameters, such as euclidean distances. Applying the clustering routines to waveform data then provides a way to visualize waveform archetypes in the form of representative cluster centers. This talk will feature a comparison between k-means clustering and density-based clustering methods, in particular the DBSCAN and OPTICS algorithms, when applied to real Ca-45 beta decay data. [Preview Abstract] |
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