AUTHOREA
Log in Sign Up Browse Preprints
LOG IN SIGN UP
Nathanael A. Fortune
Nathanael A. Fortune
Physics Professor
My research concerns the experimental behavior of lower-dimensional electronic and magnetic materials in the quantum limit. These systems exhibit a wide variety of novel ground states and magnetic-field-induced states at low temperatures; to find and identify these states of matter, we use a variety of thermodynamic probes, with a focus on specific heat and magnetocaloric measurements as a function of temperature, magnetic field strength and crystal orientation.
Smith College

Public Documents 3
A Short Guide to Using Python For Data Analysis In Experimental Physics (V3)
Nathanael A. Fortune
Rebecca Webster

Nathanael A. Fortune

and 1 more

April 01, 2026
Common signal processing tasks in the numerical handling of experimental data include interpolation, smoothing, and propagation of uncertainty. A comparison of experimental results to a theoretical model further requires curve fitting, the plotting of functions and data,  and a determination of the goodness of fit. These tasks often typically require an interactive, exploratory approach to the data, yet for the results to be reliable, the original data needs to be freely available and resulting analysis readily reproducible. In this article, we provide examples of how to use the Numerical Python (Numpy) and Scientific Python (SciPy) packages and interactive Jupyter Notebooks to accomplish these goals for data stored in a common plain text spreadsheet format. Sample Jupyter notebooks containing the Python code used to carry out these tasks are included and can be used as templates for the analysis of new data. 
Python routines for low temperature resistive thermometry in magnetic fields
Nathanael A. Fortune
Scott Hannahs

Nathanael A. Fortune

and 2 more

July 16, 2021
IntroductionThermometer calibrationFollowing the method outlined in Ref. \cite{Fortune_2000}, we approximate the magnetic field and temperature dependence \(R\left(T,\ B\right)\) of a resistive thermometer using a linear combination of Chebyshev polynomials \(t_n\left(x\right)\) 
Thermodynamics of the magnetocaloric effect in the swept field and stepped field meas...
Yasu Takano
Nathanael A. Fortune

Yasu Takano

and 1 more

January 29, 2021
ENERGY CONSERVATION IN SWEPT FIELD LIMIT For a calorimeter sample (plus addenda) weakly thermally linked to a temperature controlled reservoir, energy conservation implies -T dS = \kappa \Delta T dt + C_{} dT where κ is the sample to reservoir thermal conductance and addenda is the heat capacity of the actual addenda (such as the thermometer, heater, and glue or grease binding the sample to the sensors) plus the heat capacity of the sample lattice (due to phonons). The left hand side term is the heat released by the system — which in the case of a spin system, for example, would be the heat released by the spins — when the field is changed by dH. The minus sign indicates that system entropy decreases as heat is released. Most of the released heat flows to the reservoir but some fraction heats up the addenda (to the same temperature as the system). The first term on the right hand side describes heat flow to the reservoir. The second term describes the temperature rise of the addenda. In a non-adiabatic relaxation-time or ac-calorimeter like that used in our swept-field measurements , the first term dominates. In contrast, in an adiabatic measurement, the first term is negligible.

| Powered by Authorea.com

  • Home