activity
20172026
most citedSemi-leptonic -physics anomalies: a general EFT analysis within flavor symmetry

71 citations · 440 across the 42 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

hep-ph2024

New Physics at the Muon (Synchrotron) Ion Collider: MuSIC for several scales

Hooman Davoudiasl, Hongkai Liu, Roman Marcarelli +2

A Muon (Synchrotron) Ion Collider (MuSIC) can be the successor to the Electron-Ion Collider at Brookhaven National Laboratory, as well as the ideal demonstrator facility for a futu…

physics.acc-ph2024

MuCol Milestone Report No. 5: Preliminary Parameters

Carlotta Accettura, Simon Adrian, Rohit Agarwal +391

This document is comprised of a collection of updated preliminary parameters for the key parts of the muon collider. The updated preliminary parameters follow on from the October 2…

hep-ph2024

Flavor Patterns of Fundamental Particles from Quantum Entanglement?

Jesse Thaler, Sokratis Trifinopoulos

The Cabibbo-Kobayashi-Maskawa (CKM) matrix, which controls flavor mixing between the three generations of quark fermions, is a key input to the Standard Model of particle physics.…

hep-ph2024

Spontaneous symmetry breaking, gauge hierarchy and electroweak vacuum metastability

Sean Benevedes, Thomas Steingasser, Sokratis Trifinopoulos

The so-called metastability bound asserts that an unnaturally small Higgs mass is a necessary condition for electroweak vacuum metastability, offering a new approach towards solvin…

physics.acc-ph2024

Interim report for the International Muon Collider Collaboration (IMCC)

C. Accettura, S. Adrian, R. Agarwal +383

The International Muon Collider Collaboration (IMCC) [1] was established in 2020 following the recommendations of the European Strategy for Particle Physics (ESPP) and the implemen…

cs.LG2024

From Neurons to Neutrons: A Case Study in Interpretability

Ouail Kitouni, Niklas Nolte, Víctor Samuel Pérez-Díaz +2

Mechanistic Interpretability (MI) promises a path toward fully understanding how neural networks make their predictions. Prior work demonstrates that even when trained to perform s…