cryopy: A high-level python package for analyzing the temperature response from cryostats

Cryostats are devices for cooling devices and samples to very low temperatures. For systems kept under vacuum, the only types of allowable heat flow are conduction and radiation, and thus cryostats are well characterized and well suited to many types of experiments. For experiments utilizing cryostats, understanding the temperature response from the loading of scientific equipment is crucial in experimental design and analysis of the resulting data. There are many tools for performing this analysis, some of which can even precisely model heat flow given an extensive description of the physical system. But often this is not necessary, as first order estimates of the temperature response may be adequate for determining relevant experiment quantities. It is for these applications we present cryopy, a free and open source python package for analyzing temperature data and characterizing the temperature response from cryostats. We introduce and motivate the core functions of cryopy and give examples of their application, such as measuring the thermal properties of material samples at cryogenic temperatures, and measuring the effective thermal loading on a cryostat from mounted equipment within it.