To practice and understand the basics of Python.

To be a collection of physics simulations.

BKM10 four-fold cross section parametrization for a spin-polarized target.

A panic repository...

Regressing onto model of the Sivers Function.

Finally getting around to practicing and understanding the basics of C++.

Exploring the Replica Trick as applied to DNNs.

An ANN-approach to extracting what's called the "Compton Form Factors" that are important in the "Proton Spin Crisis."

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Simple lab.

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Code for the E1039 OROM GUI.

A simple collection of code that was used in research on Baryon-Number violation.

We'll use this to just make and test a bunch of different Vue.js components.

Description later.

A proof-of-principle of MB.

Trying to understand the liquid neurons thing.

Figuring out how best to make this thing.

Calculating decay rates for N-body decay processes symbolically to the best that we can.

Citadel's website.

This notebook is just about constructing a Python function that will design a basic, feedforward ANN based on user input.

In the following Jupyer notebook, we become more familiar with (py)ROOT by obtaining the di-Photon invariant mass spectrum to reconstruct the Higgs Boson mass.

Using ROOT to plot the invariant mass spectrum of two leptons detected in the CMS detector and inferrign the mass of the Z0 Boson.

Running through the beginning exercises of calculating the mass of the Z Boson by analyzing di-muon decays. We are guided by the repository located at the following hyperlink: https://github.com/cm…