Publications (11)
Reinterpretation and preservation of data and analyses in HEP
Jon Butterworth, Sabine Kraml, Harrison Prosper +145
Data from particle physics experiments are unique and are often the result of a very large investment of resources. Given the potential scientific impact of these data, which goes…
Semi-Supervised Domain Adaptation Using Target-Oriented Domain Augmentation for 3D Object Detection
Yecheol Kim, Junho Lee, Changsoo Park +4
3D object detection is crucial for applications like autonomous driving and robotics. However, in real-world environments, variations in sensor data distribution due to sensor upgr…
Global fits and the search for new physics: past, present and future
Peter Athron, Csaba Balázs, Jon Butterworth +15
In this work, we review the history and current role of global fits in the search for physics beyond the Standard Model~(BSM), including precision tests of the Standard Model (SM).…
Thermal WIMPs and the Scale of New Physics: Global Fits of Dirac Dark Matter Effective Field Theories
The GAMBIT Collaboration, Peter Athron, Neal Avis Kozar +24
We assess the status of a wide class of WIMP dark matter (DM) models in light of the latest experimental results using the global fitting framework . We perform a…
Global fits of simplified models for dark matter with GAMBIT I. Scalar and fermionic models with s-channel vector mediators
Christopher Chang, Pat Scott, Tomás E. Gonzalo +3
Simplified models provide a useful way to study the impacts of a small number of new particles on experimental observables and the interplay of those observables, without the need…
Global fits of simplified models for dark matter with GAMBIT II. Vector dark matter with an -channel vector mediator
Christopher Chang, Pat Scott, Tomás E. Gonzalo +2
Global fits explore different parameter regions of a given model and apply constraints obtained at many energy scales. This makes it challenging to perform global fits of simplifie…
Bring the noise: exact inference from noisy simulations in collider physics
Christopher Chang, Benjamin Farmer, Andrew Fowlie +1
We rely on Monte Carlo (MC) simulations to interpret searches for new physics at the Large Hadron Collider (LHC) and elsewhere. These simulations result in noisy and approximate es…
Collider constraints on electroweakinos in the presence of a light gravitino
The GAMBIT Collaboration, Viktor Ananyev, Csaba Balázs +19
Using the GAMBIT global fitting framework, we constrain the MSSM with an eV-scale gravitino as the lightest supersymmetric particle, and the six electroweakinos (neutralinos and ch…
The Metaplectic Representation is Faithful
Christopher Chang, Simeon Hellsten, Mario Marcos Losada +1
We develop methods to show that infinite-dimensional modules over the Iwasawa algebra of a uniform pro-p group are faithful and apply them to show that the metaplectic represe…
Exploring the scaling limitations of the variational quantum eigensolver with the bond dissociation of hydride diatomic molecules
Jacob M. Clary, Eric B. Jones, Derek Vigil-Fowler +2
Materials simulations involving strongly correlated electrons pose fundamental challenges to state-of-the-art electronic structure methods but are hypothesized to be the ideal use…
The GAMBIT Universal Model Machine: from Lagrangians to Likelihoods
Sanjay Bloor, Tomás E. Gonzalo, Pat Scott +7
We introduce the GAMBIT Universal Model Machine (GUM), a tool for automatically generating code for the global fitting software framework GAMBIT, based on Lagrangian-level inputs.…