School/College

University of Glasgow, Department of Particle Physics

Email

Federica.Fabbri@glasgow.ac.uk

Telephone

 

Research vision

I am a particle physicist working with fundamental particles, called quarks. I measure their chance of creation in proton collisions and their properties to improve our level of understanding of the smallest bricks of the universe and their interactions.

The existing proton collider (LHC) is collecting an amount of data that has never been available in particle physics before and is essential to understand how make the most of it. My research activity is currently focused on the production of heavy quarks at high energy, and I am interested in investigating how the research could progress in this area. I would like to explore the possibility to measure new properties and observables that weren’t accessible before the LHC era. Moreover, the large amount of data available makes more challenging to select information relevant to understand fundamental particles behaviour and identify the presence of new physics. For these reasons the techniques used in data analysis became more sophisticated and I think it is interesting to identify how these techniques could be applied in different sectors of particle physics research or even outside of the field.

During my career I gained familiarity with Monte Carlo simulations and developed a long experience in working with high energy quarks, studying their properties and how to identify their creation. At the moment, I am focusing on the measurement of the properties of the decay products of heavy quarks with un-precedent precision, to increase the sensitivity to strong interaction parameters that could be extracted by the measurement.

Expectations from collaboration

I would like to collaborate with a group where my skills on data analysis and knowledge on experimental physics are useful and could be combined with the field of expertise of the collaborator to perform a research project that is different but related to what I am working on, so toward the understanding of the future of research in the heavy quarks or high energy objects sectors.

I am also interested in investigating how my computing skills and the data analysis technique that I apply in particle physics could be transferred in different fileds. I think that the challenge of extracting relevant information from a large amount of data is shared among several fields and the approaches used in particle physics could be extended to totally different sectors facing the analysis of large amount of data.

Key Skills

Programming in:

  • C++,
  • bash,
  • python.

Knowledge of:

  • Monte Carlo generation,
  • data analysis,
  • statistics,
  • problem solving.
  • Able/used to work in big collaborationss

 

First published: 7 May 2019

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Federica Fabbri