CHIARA MARIA ANGELA RODA

Docenti e ricercatori

Research Area: FIS/01 - Fisica Sperimentale

L.go B. Pontecorvo, 3, 56127 Pisa (PI), Italy.

chiara.roda@unipi.it

050 2214284

Research activities

My main scientific interest is in the experimental study of the elementary components of matter and their interactions. Presently the best model describing the matter structure at elementary level is the Standard Model, a theory built in the last fifty years and whose last components, the Higgs Boson, has been measured in 2012. In my scientific life I have explored this model in many ways. In the last years, with the ATLAS detector, I have tested the Standard Model theory in the QCD, Electro-Weak and Higgs sector. What I find particularly interesting in ATLAS is the wide range of physics studies possible to carry out.
Being an experimental physicist I have always also worked at the development of detectors. Presently I work on new developments on hadron calorimetry and trigger. Innovation in detector concepts is the basic ingredient to help advancements in physics research and participating to designing, building and putting into operation a detector is a particularly rewarding work.

Recent publications

  • A precise measurement of the Z-boson double-differential transverse momentum and rapidity distributions in the full phase space of the decay leptons with the ATLAS experiment at $$\sqrt{s}=8$$ TeV [2024]
  • Measurement of the $$H \rightarrow \gamma \gamma $$ and $$H \rightarrow ZZ^* \rightarrow 4 \ell $$ cross-sections in pp collisions at $$\sqrt{s}=13.6$$ TeV with the ATLAS detector [2024]
  • Measurement of the Centrality Dependence of the Dijet Yield in p+Pb Collisions at sNN=8.16  TeV with the ATLAS Detector [2024]
  • Search for a CP-odd Higgs boson decaying into a heavy CP-even Higgs boson and a Z boson in the $$ {\ell}^{+}{\ell}^{-}t\overline{t} $$ and $$ \nu \overline{\nu}b\overline{b} $$ final states using 140 fb−1 of data collected with the ATLAS detector [2024]
  • Search for New Phenomena in Two-Body Invariant Mass Distributions Using Unsupervised Machine Learning for Anomaly Detection at s=13  TeV with the ATLAS Detector [2024]
See all the publications on: Arpi, Orcid, Google Scholar

Courses

  • FISICA GENERALE I (Cod. 011BB) CdS ICH-L INGEGNERIA CHIMICA (Registro)
  • LABORATORIO 3 (Cod. 034BB) CdS FIS-L FISICA (Registro)
  • LABORATORIO 3 AVANZATO (Cod. 347BB) CdS FIS-L FISICA (Registro)
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