Improving Monte Carlo Simulations in High Energy Physics Using Machine Learning Techniques PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Improving Monte Carlo Simulations in High Energy Physics Using Machine Learning Techniques PDF full book. Access full book title Improving Monte Carlo Simulations in High Energy Physics Using Machine Learning Techniques by Timo Janßen. Download full books in PDF and EPUB format.

Improving Monte Carlo Simulations in High Energy Physics Using Machine Learning Techniques

Improving Monte Carlo Simulations in High Energy Physics Using Machine Learning Techniques PDF Author: Timo Janßen
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

Book Description
Monte Carlo event generators are nowadays indispensable tools for predictions based on first principles in high energy physics, and they represent one of the mainstays of particle physics research at the Large Hadron Collider. In the dawn of the high luminosity upgrade of the Large Hadron Collider, there is a push to more complex signatures and higher accuracy, rendering the generation of simulated events more expensive. At the same time, there are strict limitations on the computational budget. In this situation, the efficiency of event generators can be identified as a key issue. The rece...
➤