Monte Carlo Simulation

My first project with the CERN ATLAS Group was a training exercise to build my own Monte Carlo simulation.  The Monte Carlo simulation is built on the assumption that a highly energetic particle will decay into two particles.  The first particle will scatter by an angle theta and an angle phi relative to the initial trajectory of the parent particle.  The angles are governed by probability distributions p(theta)=1/(1+theta) and p(phi)=1/(1+ phi).  Each angle is determined stochastically.  The first particle will then have an energy which is a fraction z of the initial energy E.  From these values we can determine the trajectory of the second particle based on relativistic energy and momentum conservation.  The first and second particles then decay in the same manner.  The simulation assumes that once a particle reaches an energy Ecrit, it will no longer decay.  This value is initially determined in the simulation.

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The Fun Begins

This blog documents my journey from a 13-year career in Patent Law to a career in Data Science. I am presently studying for a Master of Science in Physics at the University of Washington. I have been a part time student since January of 2018. Next quarter, I will be transitioning to a full-time student to accelerate my completion of my M.S. For summer quarter, I will be working on my capstone project. I intend to complete my studies in August of 2019.

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