Argia Rubeo

Doctor of Philosophy

Degree obtained at School of Mathematics, Trinity College Dublin, Ireland
Argia Rubeo photo

Interests and experience

After my PhD in theoretical particle physics, and one year of postdoc research on statistical analyses for particle physics, I worked as an HPC specialist at Cineca. Then I gained familiarity with Machine learning tools. While working in the context of Particle Physics, I have been dealing with analytical and numerical computations. I have experience working with Pyhton, Bash and C++. In my projects, I have written my own packages to numerically test the perturbative computations I performed, and to carry out the data analysis. In addition, I have studied the non-perturbartive part which requires Monte Carlo simulations and the use of a supercomputer. This part produces a larger amount of data to be analyzed. I have used libraries and my own scripts to select the data of interest, and I have performed the same statistical analysis using existing codes in Python and R to confirm the same result. Furthermore, I have used other tools and software languages to cross-check my results. While working at Cineca, I have deepened my knowledge in many regards. Some of them concerning operating systems, management of clusters, scheduler, installation of Linux software packages and users usage of computational resources analysis.

Research

During my master, PhD and first postdoc, my research concerned the application of Quantum Field Theory to Elementary Particle Physics. In particular, the theory of quarks and gluons, known as QuantumChromoDynamics (QCD), experimentally tested at the large hadron collider at CERN (Geneva). QCD is a strongly interacting theory at the hadronic scale, ∼ O(1GeV), and as such it requires a non-perturbative formulation. The only known method to study it, based on first principles, is lattice QCD. This formulation is defined on a finite Euclidean space-time which renders the theory regularised and allows one to use Monte Carlo simulations to evaluate the path integral.

Curriculum vitae

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Publications

• A. Rubeo, On the Symanzik improvement of gradient flow observables, PhD thesis (2019)

• A. Rubeo, S. Sint, Perturbative O($ a^2 $) effects in gradient flow couplings with SF and open-SF boundary conditions, PoS LATTICE 388 (2016)

• L. Giusti, A.L. Guerrieri, S. Petrarca, A. Rubeo, M. Testa, Color structure of Yang-Mills theory with static sources in a periodic box, Phys. Rev. D 92, 034515, arXiv:1508.00152 [hep-lat] (2015)

• A.L. Guerrieri, S. Petrarca, A. Rubeo, M. Testa, $ q\ bar {q} $-potential: a numerical study, PoS LATTICE 470 (2013)

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