Caterina Doglioni

Department of Physics and Astronomy

University of Manchester

Manchester, UK

I am a professor of particle physics at the University of Manchester, after my education and previous career steps in Italy, UK, Switzerland and Sweden.

I am working on the ATLAS experiment at the Large Hadron Collider. My research focus is uncovering the nature of Dark Matter, a kind of unknown matter constituting 85% of the matter in the universe. My research has been driven by the challenges related to the “big science” needed to study the fundamental constituents of matter at the LHC. The vast amount of data produced by the LHC, and the even larger and more complex datasets prospected for future colliders, present the perfect research environment requiring novel computing, AI and ML tools.

I work with my group of Master’s, PhD students and postdoctoral researchers supported by the European Research Council and UKRI, and I coordinated the SMARTHEP European Training Network on real-time analysis enabled by ML and heterogeneous computing architectures.

My research is founded on Open Science and sustainability for software and AI/ML in both the FAIR (Findable, Accessible, Interoperable and Reproducible) and environmental contexts. I am a member of the ESCAPE (European Science Cluster of Astronomy & Particle Physics ESFRI), a work package lead of EVERSE (European Virtual Institute for Research Software Excellence) and the co-organizer of the FAIR and environmentally sustainable AI working group within EuCAIF (European Coalition for AI in Fundamental Physics).

news

Jan 17, 2026	Welcome to my new website! More updates coming soon.

selected publications

Search for low-mass dijet resonances using trigger-level jets with the ATLAS detector in pp collisions at \sqrts=13 TeV

G. Aad and others

Phys. Rev. Lett., 2018

Abs Bib

This paper describes the first search using the Trigger Level Analysis technique in ATLAS with the 2016 LHC dataset, with constraints on Dark Matter mediator particles decaying into dijets. I worked on the core software to make recording on this data possible, and a postdoc in my group (Will Kalderon) was the contact editor for the analysis.
Abstract: Searches for dijet resonances with sub-TeV masses using the ATLAS detector at the Large Hadron Collider can be statistically limited by the bandwidth available to inclusive single-jet triggers, whose data-collection rates at low transverse momentum are much lower than the rate from Standard Model multijet production. This Letter describes a new search for dijet resonances where this limitation is overcome by recording only the event information calculated by the jet trigger algorithms, thereby allowing much higher event rates with reduced storage needs. The search targets low-mass dijet resonances in the range 450-1800 GeV. The analyzed dataset has an integrated luminosity of up to 29.3 fb^-1 and was recorded at a center-of-mass energy of 13 TeV. No excesses are found; limits are set on Gaussian-shaped contributions to the dijet mass distribution from new particles and on a model of dark-matter particles with axial-vector couplings to quarks.
@article{aad2018search, title = {Search for low-mass dijet resonances using trigger-level jets with the ATLAS detector in pp collisions at $\sqrt{s}=13$ TeV}, author = {Aad, G. and others}, collaboration = {ATLAS Collaboration}, journal = {Phys. Rev. Lett.}, volume = {121}, pages = {081801}, year = {2018}, eprint = {1804.03496}, archiveprefix = {arXiv}, primaryclass = {hep-ex}, url = {https://link.aps.org/doi/10.1103/PhysRevLett.121.081801}, }