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20172026
most citedColliderBit: a GAMBIT module for the calculation of high-energy collider observables and likelihoods

94 citations · 290 across the 23 of their papers we have counts for

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9 papers · 1 filter

hep-ph2026

Prompting Particle Physics: Tokenized Multi-modal Foundation Models for Combinatorially Many Tasks

Nilotpal Kakati, Daniel Murnane, Baran Hashemi +5

Reconstruction and simulation at a collider experiment are long chains of specialised algorithms, each tuned to a single step. We explore how one model can serve many of those step…

hep-ph2026

The Landscape of Composite Higgs Models

Daniel Murnane

While the Standard Model (SM) of particle physics contains the most precise set of predictions ever devised by humanity, that precision comes at a cost. The strange nature of the H…

hep-ph2024★ 1 cited

A Language Model for Particle Tracking

Andris Huang, Yash Melkani, Paolo Calafiura +4

Particle tracking is crucial for almost all physics analysis programs at the Large Hadron Collider. Deep learning models are pervasively used in particle tracking related tasks. Ho…

hep-ph2022★ 5 cited

Semi-Equivariant GNN Architectures for Jet Tagging

Daniel Murnane, Savannah Thais, Jason Wong

Composing Graph Neural Networks (GNNs) of operations that respect physical symmetries has been suggested to give better model performance with a smaller number of learnable paramet…

hep-ph2021★ 5 cited

Convergent Bayesian Global Fits of 4D Composite Higgs Models

Ethan Carragher, Will Handley, Daniel Murnane +4

Models in which the Higgs boson is a composite pseudo-Nambu-Goldstone boson offer attractive solutions to the Higgs mass naturalness problem. We consider three such models based on…

hep-ph2020

Minimal 4D Composite Higgs Models Under Current LHC Constraints

Ethan Carragher, Daniel Murnane, Peter Stangl +3

We present preliminary results of the first convergent global fits of several minimal composite Higgs models. Our fits are performed using the differential evolution optimisation p…

hep-ph2018★ 6 cited

Exploring Fine-tuning of the Next-to-Minimal Composite Higgs Model

Daniel Murnane, Martin J. White, Anthony G. Williams

We perform a detailed study of the fine-tuning of the two-site, 4D, Next-to-Minimal Composite Higgs Model (NMCHM), based on the global symmetry breaking pattern $SO(6)\rightarrow S…

hep-ph2017★ 94 cited

ColliderBit: a GAMBIT module for the calculation of high-energy collider observables and likelihoods

Csaba Balázs, Andy Buckley, Lars A. Dal +12

We describe ColliderBit, a new code for the calculation of high energy collider observables in theories of physics beyond the Standard Model (BSM). ColliderBit features a generic i…

hep-ph2017★ 6 cited

Constraining fine tuning in Composite Higgs Models with partially composite leptons

James Barnard, Daniel Murnane, Martin White +1

Minimal Composite Higgs Models (MCHM) have long provided a solution to the hierarchy problem of the Standard Model, yet suffer from various sources of fine tuning that are becoming…