Date Approved

2012

Degree Type

Open Access Senior Honors Thesis

Department

Mathematics

First Advisor

Dr. Andrew Ross

Abstract

Instruments sent into space must be cooled to temperatures lower than 50 milliKelvin to decrease noise and increase sensitivity. One way we cool the instruments is through the use of an adiabatic demagnetization refrigerator. To determine the best magnetic coolant we must measure the magnetic coolant’s thermal resistance and heat capacitance. We do this by fitting curves to data taken during cooling experiments. We explore a model that uses an exponential plus linear fit. We use our model to predict data points and compare them to the actual data taken during the experiments, as well as explore the fitting properties with artificial data.

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