Methods and Results for Standard Model Event Generation at $\sqrt{s}$ = 14 TeV, 33 TeV and 100 TeV Proton Colliders (A Snowmass Whitepaper)
Aram Avetisyan, John M. Campbell, Timothy Cohen, Nitish Dhingra, James, Hirschauer, Kiel Howe, Sudhir Malik, Meenakshi Narain, Sanjay Padhi, Michael, E. Peskin, John Stupak III, Jay G. Wacker

TL;DR
This whitepaper details novel simulation techniques for Standard Model backgrounds at future high-energy proton colliders, emphasizing event generation methods that handle high statistics and pile-up environments efficiently.
Contribution
It introduces a comprehensive approach combining Madgraph5, Pythia6, and Delphes3 for accurate, high-statistics event simulation across multiple collider energies and pile-up scenarios.
Findings
Generated large, high-fidelity Standard Model background samples
Efficient event generation with event weighting reduces computational demands
Publicly available datasets for various energies and pile-up conditions
Abstract
This document describes the novel techniques used to simulate the common Snowmass 2013 Energy Frontier Standard Model backgrounds for future hadron colliders. The purpose of many Energy Frontier studies is to explore the reach of high luminosity data sets at a variety of high energy colliders. The generation of high statistics samples which accurately model large integrated luminosities for multiple center-of-mass energies and pile-up environments is not possible using an unweighted event generation strategy -- an approach which relies on event weighting was necessary. Even with these improvements in efficiency, extensive computing resources were required. This document describes the specific approach to event generation using Madgraph5 to produce parton-level processes, followed by parton showering and hadronization with Pythia6, and pile-up and detector simulation with Delphes3. The…
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Taxonomy
TopicsParticle physics theoretical and experimental studies · High-Energy Particle Collisions Research · Particle Detector Development and Performance
