2 citations · 3 across the 6 of their papers we have counts for
7 papers
Coverage Is Not Ordering: Ancillary Leakage and Representation Dependence in Covariance-Based Inference
Tommaso Dorigo
A covariance matrix is often used as a compact surrogate for the statistical model of a measurement. We show that this replacement can change not only a fitted value or its uncerta…
Exploring the limits of high-energy proton-pion separation in granular calorimeters
Andrea De Vita, Abhishek, Tommaso Dorigo +1
Highly granular calorimeters provide detailed information about hadronic-shower development that may enable particle identification beyond their conventional role in energy measure…
The Greedy Bump Bias: Local Profiling Geometry and the Look-Elsewhere Effect
Tommaso Dorigo
When fitting a localized signal whose position or shape is not known in advance, one typically allows these parameters to vary together with the signal amplitude and chooses the va…
Localizing Global Discrepancies: Marginal Contributions and Contextual Anomaly Detection
Tommaso dorigo
Global goodness-of-fit and discrepancy statistics can establish that a sample departs from a reference distribution without identifying which observations drive the departure. We d…
On the Codesign of Scientific Experiments and Industrial Systems
Tommaso Dorigo, Pietro Vischia, Shahzaib Abbas +84
The optimization of large experiments in fundamental science, such as detectors for subnuclear physics at particle colliders, shares with the optimization of complex systems for in…
Learning the Standard Model Manifold: Bayesian Latent Diffusion for Collider Anomaly Detection
Jigar Patel, Tommaso Dorigo
We propose a physics-informed anomaly detection framework for collider data based on a Bayesian latent diffusion model. Our method combines a probabilistic encoder with diffusion d…
Differentiable Surrogate for Detector Simulation and Design with Diffusion Models
Xuan Tung Nguyen, Long Chen, Tommaso Dorigo +7
In this work, we present a conditional denoising-diffusion surrogate for electromagnetic calorimeter showers that is trained to generate high-fidelity energy-deposition maps condit…