Author

Tommaso Dorigo

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Preprint Aug 2026

Exploring the limits of high-energy proton-pion separation in granular calorimeters

Highly granular calorimeters provide detailed information about hadronic-shower development that may enable particle identification beyond their conventional role in energy measurement. We investigate how well this information can distinguish protons from positively charged pions and how the achievable discrimination d...

A. D. De Vita, Abhishek, Tommaso Dorigo et al. · 0 citations

Preprint Sep 2026

Coverage Is Not Ordering: Ancillary Leakage and Representation Dependence in Covariance-Based Inference

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 uncertainty, but also the likelihood-ratio ordering of the experiment itself. In a tractable correlated-measurement model, the data separate into a...

Tommaso Dorigo · 0 citations

#machine learning Preprint Aug 2026

Localizing Global Discrepancies: Marginal Contributions and Contextual Anomaly Detection

A framework for this localization problem is developed by assigning to each observation its conditional or marginal contribution across random statistical contexts, which connects resampling diagnostics and data valuation to projection theory and event-level anomaly detection.

Tommaso Dorigo · 0 citations