Python code for calculating transformation diagrams (TTT and CCT curves) for steels. Based on "M.V. Li, D. V. Niebuhr, L.L. Meekisho, D.G. Atteridge, Metall. Mater. Trans. B 29 (1998) 661–672."

Jupyter Notebooks for visualizing and exploring empirical model building. http://charlesreid1.github.io/empirical-model-building

A framework for running empirical land surface models.

An Empirical Model for Persistence in Investment Manager Performance

Global empirical models for tropopause height determination

RascalC: A Fast Code for Galaxy Covariance Matrix Estimation

Supporting code for Johnston et al. "Quantifying the effect of precipitation on landslide hazard in urbanized and non-urbanized areas" published in Geophysical Research Letters

Function that calculates the maximum phytoplankton growth rate at specified temperature(s) according to the Eppley growth curve

Jupyter notebook made in python for generating statistics. Deals mainly with empiric models, standard deviation and outlier detection.

Cleaned repository focusing on running RascalC library for semi-analytical galaxy 2-point correlation function covariance matrices