Extending TF1: Argument parsing, function composition, and vectorization

In this project, we extend the functionality of the TF1 function class in root. We add argument parsing, making it possible to freely pass variables and parameters into pre-defined and user-defined functions. We also introduce a syntax to use certain compositions of functions, namely normalized sums and convolutions, directly in TF1. Finally, we introduce some simple vectorization functionality to TF1 and demonstrate the potential to speed up parallelizable computations.