cooltools: Practical Tools for Scientific Computations and Visualizations

Collection of routines for efficient scientific computations in physics and astrophysics. These routines include utility functions, numerical computation tools, as well as visualisation tools. They can be used, for example, for generating random numbers from spherical and custom distributions, information and entropy analysis, special Fourier transforms, two-point correlation estimation (e.g. as in Landy & Szalay (1993) <doi:10.1086/172900>), binning & gridding of point sets, 2D interpolation, Monte Carlo integration, vector arithmetic and coordinate transformations. Also included is a non-exhaustive list of important constants and cosmological conversion functions. The graphics routines can be used to produce and export publication-ready scientific plots and movies, e.g. as used in Obreschkow et al. (2020, MNRAS Vol 493, Issue 3, Pages 4551–4569). These routines include special color scales, projection functions, and bitmap handling routines.

Package details

AuthorDanail Obreschkow [aut, cre] (<https://orcid.org/0000-0002-1527-0762>)
MaintainerDanail Obreschkow <danail.obreschkow@gmail.com>
LicenseGPL-3
Version2.4
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("cooltools")

Try the cooltools package in your browser

Any scripts or data that you put into this service are public.

cooltools documentation built on Sept. 11, 2024, 8:25 p.m.