1,721,447 research outputs found
edmundsj/rcwa: Beta Release v0.1.125
Features
Implements 1D Transfer Matrix Method for homogenous layers
Implements full rectangular 2D RCWA for periodic layers
Huge material database for n/k values in optical range built-in based on refractiveindex.info, including metals, plastics, glass, and ceramics
Compute reflection and transmission spectra at arbitrary incidence and polarization
Compute spectroscopic ellipsometry curves
Exactly solves Maxwell's Equations for arbitrary layer stacks of any thickness
Compute reflected power, transmitted power, and S-parameters
Easy to use class-based syntax
Large, fast-to-run test suite
Extremely fast narrowband, rigorously correct simulations well suited for resonant devices
Example Uses
Compute reflected and transmitted power from a thin film stack
Determine resonant frequency of a VCSEL
Determine reflectance of a bragg mirror, on or off-axis
Find diffraction efficiencies for a 1D or 2D diffraction grating
Compute reflected power from a metallic mirror
Documentation
This project is documented on Github Pages. For additional information, including downloading examples, you can view this project on github.
Author: Jordan Edmunds, UC Irvine Alumnus, UC Berkeley Ph.D. Student
Date Started: 2020/01/05
License
This project is distributed under the MIT license.
Dependencies
Dependencies are comprehensively covered by the setup.py file, and the most
recent set of dependencies can be found there. Currently, this requires numpy,
scipy, pandas, matplotlib, and pyyaml. The documentation is built using Sphinx
and hosted on readthedocs.io
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
chenle02/SPDEs-Bib: V2.0
<h1>Include the documentation and search ability at:</h1>
<p>https://spdes-bib.readthedocs.io/</p>
<h2>What's Changed</h2>
<ul>
<li>Sphinx by @chenle02 in https://github.com/chenle02/SPDEs-Bib/pull/4</li>
<li>Sphinx by @chenle02 in https://github.com/chenle02/SPDEs-Bib/pull/5</li>
</ul>
<h2>New Contributors</h2>
<ul>
<li>@chenle02 made their first contribution in https://github.com/chenle02/SPDEs-Bib/pull/4</li>
</ul>
<p><strong>Full Changelog</strong>: https://github.com/chenle02/SPDEs-Bib/compare/V1.1...V2.0</p>
eflows4hpc/dls-tosca: v1.2.0
TOSCA Components to integrate with the Data Logistics Servic
tamada/pochi: Release main
Java birthmark toolkit, detecting the software theft by native characteristics of the programs
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