Python Processing of Data from a Pulsed Thermophysical Experiment
摘要
Abstract
An algorithm and original software are developed for obtaining and post-processing an experimental data array. The controlled pulsed heating of a probe is used to study the transfer of heat in liquid binary media and their phase diagrams, including the region of short-term superheated states. The Python program is tested by analyzing 1250 files containing more than 107 values.