Heavy-flavour production in MC

(By Giles Strong)

Alright pal? As promised, here I’ll be going into a bit more detail of heavy-flavour modelling in Monte Carlo (MC) generators. Specifically, b-quark pair production, which was the subject of my research at The University of Glasgow.

Solving the integration issues in the Matrix Element Method

(By Alessia Saggio)

I’ve already talked a little bit about the Matrix Element Method (MEM) in my third post on this blog, but since now I want to treat it more in detail, I would like to reintroduce it briefly.

The probability to observe a set of experimental events (labeled with the reconstructed four-momenta ), given a certain theoretical hypothesis , is given by the following:

I lost a bet!

Almost two months ago, Tommaso and I designed a challenge about guessing the b-flavour content of jets in simulated QCD processes. The aim of the competition was to predict the fraction of events with 0,1,2,3 and 4 selected b-jets (i.e. jets which contain b-hadrons) after an event selection which resembles the one used for the HH → bbbb analysis we are working on.

An introduction to Monte Carlo event-generation

Hej! Work’s starting to pick up here at LIP-Lisbon as we begin to think about Monte Carlo sample production.

Monte Carlo (MC) generators are an important tool for us particle physicists since they allow us to simulate the particle collisions which occur at colliders like the LHC, whilst having access to the entire record of processes (MC truth). This allows us to determine background contributions to data, design new detectors, or, as we at AMVA4NP will make great use of, test and optimise selection algorithms.