List of previous students

Nicola Orlando
Faten Hariri
Emma Kuwertz
Spyridon Argyropoulo
Sabrina Sacerdoti
Simone Amoroso
Jesper Roy Christiansen
Nathan Hartland
Christian Roehr
Benjamin Watt
Philip Ilten
Nishita Desai
Sercan Sen
Miroslav Myska
Sudha Ahuja
Holger Schulz
Avi Gershan
Aleksander Kusina
Magdalena Slawinska
Flavia Dias
Kenneth Wraight
Irais Bautista Guzman
Sparsh Navin
Paolo Francavilla
Riccardo Di Sipio
Seyi Latunde-Dada
Devdatta Majumder
Martijn Gosselink
Christopher Bignamini
Marek Schönherr
Michal Deak
Noam Hod
Florian Bechtel
Jonathan Ferland
Manuel Bähr
Alexander Flossdorf
Piergiulio Lenzi

Paolo Francavilla is a Ph.D. student from the University of Pisa, on the ATLAS experiment, on a four-month MCnet studentship in the CERN team.

At LHC the jet production is by far the hard scattering process with the largest cross section. A precise measurement of the jet cross section is therefore important, not only as a measurement in itself, but also to prove to have well under control one of the largest source of background for the search of new signals. The jet cross section measurement may be carried out with the first few inverse picobarns of data collected by the experiments and this will also test the performances of the various jet reconstruction steps.

The main topic of my research is the measurement, with the ATLAS detector, of the jet production at the Large Hadron Collider (LHC). In the ATLAS group of Pisa, I am involved in studies on the expected performances on the measurement of jet in ATLAS, developing strategies to check the calibration with the first data. The development of these strategies relies on the prediction done by the Monte Carlo generators and part of the uncertainty on the results of these strategies are due to the modeling of non-perturbative effects (such as the Underlying Event and the fragmentation) in the Monte Carlo generators.

In the last years the theoretical high energy physics community produced different models to simulate these effects implemented in different Monte Carlo generators. The main activity done during the 4 months at CERN was aimed at the understanding of the differences between models of Underlying Event in the different Monte Carlo generators. I am currently working on the comparison of the Pythia8 and Herwig++ event generators, developing new jet observables that strongly depend on the Underlying event models.

This work is being very fruitful for my PhD research program, and it allows me to gain experience with the variety of Monte Carlo tools understanding the differences of the different codes.