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Code designed for analysing data, collected during second and third UofT practical physics course.

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Physics-Data-Analysis

Python code designed for analyzing data, collected during the second and third year UofT practical physics course.

Primary actions of the code:

data analysis Using the NumPy package, the code is able to determine the chi-square and fit parameters given raw data, their uncertainty, and expected model function.

plot data Using the results of the data analysis, the function then proceeds to plot the raw data, the fitted plot, and the residuals. Additionally, it can plot a histogram of teh raw data, and provide the Gaussian and Poisson fits.

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Code designed for analysing data, collected during second and third UofT practical physics course.

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