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R package to control the false discovery rate for growing data repositories.

Programs and data to replicate: McKay, Alisdair and Ricardo Reis. "Optimal Automatic Stabilizers" forthcoming in the Review of Economic Studies (2020). The package contains Python 2.7 codes to solve for the optimal social insurance parameters in the presence of business cycle risk.

Code for Lightweighting large optomechanical structures in astronomy instrumentation utilising generative design and additive manufacturing (SPIE 2023, conference paper). This code can be used to recreate the outgassing results presented in Section 4.2. The full raw dataset will be made available on STFC edata.

Passive acoustic sensing has emerged as a powerful tool for quantifying anthropogenic impacts on biodiversity, especially for echolocating bat species. This tool helps better assess bat population trends accurately and allow the detection and classification of bat calls in large collections of audio recordings.

A .tar.gz file containing an R package. The package can be used to estimates the midline of polygons provided in sf format. The package uses Voronoi tessellation to estimate the midline and offers some functions that can help to clean the lines. The package comains the following main functions: the midlines_draw function is used to estimate a midline for a polygon input. The midlines_clean function takes the output from midlines_draw to remove extraneous lines creates by the Voronoi tessellation process. The function midlines_check allows the cleaning process to be examined to ensure the desired output is created. midlines_dedensify, midlines_debit and midlines_smooth offer additional helper functions to modify the estimated midlines. The package requires (imports) the sf, zoo, lwgeom, stats and igraph packages and requires R version 2.10 or higher. The package is documented with help files, a vignette, a readme file, a description file and licence (MIT licence). A small example dataset is included to provide an example for the vignette.

https://play.google.com/store/apps/details?id=com.artgen.app&hl=en ArtGen is a simple and elegant app designed to engage everyone in the creation of art, where art, science and humanity meet. The world becomes a canvas and people (and even animals) become a color pencil or brush (the color can be changed at any time) and it records every move which is live streamed on www.artgen.com.

This ORDA respository contains the MATLAB computer code and simulated data of key numerical experiments described in the above manuscript. See "read.me.txt" and the paper for more information.Reference: Ng, F. S. L. (2021, in press) Pervasive diffusion of climate signals recorded in ice-vein ionic impurities. The Cryosphere, https://doi.org/10.5194/tc-2020-217License for the data files: CC BY 4.0.License for the code: MIT open source license.

The contents of this repository supplement the publication:Sefilian A. A., Rafikov R. R. & Wyatt M. C., 2023, "Formation of Gaps in Self-gravitating Debris Disks by Secular Resonance in a Single-planet System. II. Toward a Self-consistent Model", The Astrophysical Journal, 954, 100 (31pp) [Link]. This repository contains the following items:A copy of the N-ring code (in .m format) developed as part of this work. The code is written in MATLAB.Three video files (in .mp4 format) representing the animated versions of Figures 4, 7, and 8.Dataset (in .mat format) representing the simulation results of Model A (i.e., Simulation #24, see Table B1 and Section 2.2). This can be used to e.g. reproduce Figures 2, 3, 4, 5, 6, 7, and 8.The N-ring code, developed as a MATLAB script, can be used to simulate the long-term, secular evolution of self-gravitating particulate disks and their response to external perturbations in general (coplanar) astrophysical setups. This semi-analytic framework is built upon the continuum version of the classical Laplace-Lagrange theory, whereby the disk is modeled as a series of N>>1 massive rings interacting with each other and with (any) external perturbers. Unlike the classical Laplace-Lagrange theory, however, here the ring-ring interaction is softened by spatially smoothing the Newtonian point-mass potential (for more details on this, see Sefilian & Rafikov (2019)). This is essentially done by introducing a small, but non-zero, softening length into the calculations, rendering the force between two rings finite -- rather than infinite -- at points of orbit crossings. The N-ring code adopts the softening formalism of Hahn (2003), which stems from accounting for the vertical extent of the interacting rings, and vertically averaging the resulting disturbing function over the disk. The model is fully described in Sefilian et al. (2023); see e.g. Section 2.1 and Section 3 therein. An extensive report on various tests which are used for verifying the performance of the N-ring code is outlined in Appendix A.Given the parameters of the star, the planet, and the disk, the MATLAB script first calculates the matrix A appearing in Equation (16) which encapsulates the mutual gravitational interactions among all considered rings (i.e., disk and planet), and then solves for the time evolution of the eccentricities and longitudes of pericenter of each ring.The default parameters supplied are for the fiducial model considered in the study, namely, model A (i.e., Simulation #24, see Table B1 and Section 2.2), the outcome of which can be found in this repository. To simulate the evolution of other systems, please change the values in the "User-Specific Inputs" section of the MATLAB script. Generally speaking, no modifications should be required outside of the specified section as long as the considered planet-disk system setup is the same as in Sefilian et al. (2023), i.e., a single planet orbiting interior to a debris disk.Please feel free to use the N-ring code for your own purposes. In case the results go into a publication, it would be very much appreciated if you could cite the paper above (Sefilian et al. 2023). Furthermore, I would greatly appreciate your feedback if you come across any issues or have specific requirements. Enjoy simulating self-gravitating (debris) disks!---------------------------------------------------------------------------------Contact:Antranik A. Sefiliansefilian [dot] antranik [at] gmail [dot] comPersonal webpage---------------------------------------------------------------------------------

Colour Science for Python Colour is a Python colour science package implementing a comprehensive number of colour theory transformations and algorithms. It is open source and freely available and under the New BSD License terms: http://opensource.org/licenses/BSD-3-Clause Features Colour features a rich dataset and collection of objects, please see the highlights page for more information: http://colour-science.org/features.php Installation The installation procedure is described in the Installation Guide: http://colour-science.org/installation.php Usage The two main references for Colour usage are the complete sphinx API Reference and the IPython Notebooks with detailed historical and theoretical context and images: API Reference: http://colour-science.org/api/latest/html/index.html IPython Notebooks: http://nbviewer.ipython.org/github/colour-science/colour-ipython/blob/master/notebooks/colour.ipynb Contributing If you would like to contribute to Colour, please refer to the following Contributing guide: http://colour-science.org/contributing.php Changes The changes are viewable on the Releases page: https://github.com/colour-science/colour/releases Bibliography The bibliography is available on the Bibliography page: http://colour-science.org/bibliography.php It is also viewable directly from the repository in either BibTeX (https://github.com/colour-science/colour/blob/develop/BIBLIOGRAPHY.bib) format or reStructuredText (https://github.com/colour-science/colour/blob/develop/BIBLIOGRAPHY.rst). About Colour by Colour Developers - 2013 - 2015 Copyright © 2013 - 2015 – Colour Developers – colour-science@googlegroups.com This software is released under terms of New BSD License: http://opensource.org/licenses/BSD-3-Clause http://github.com/colour-science/colour