Publications (21)
Jet energy spectrum and substructure in collisions at 91.2 GeV with ALEPH Archived Data
Yi Chen, Anthony Badea, Austin Baty +10
The first measurements of energy spectra and substructure of anti- jets in hadronic decays in collisions are presented. The archived annihilation dat…
Analysis note: measurement of thrust and track energy-energy correlator in collisions at 91.2 GeV with DELPHI open data
Jingyu Zhang, Tzu-An Sheng, Yu-Chen Chen +6
Recent theoretical developments, as well as experimental measurements at hadron collisions, have renewed interest in studying event shape variables in collisions. We prese…
Analysis note: measurement of energy-energy correlator in collisions at GeV with archived ALEPH data
Hannah Bossi, Yu-Chen Chen, Yi Chen +7
Electron-positron () collisions provide a clean environment for precision tests of Quantum Chromodynamics (QCD) due to the absence of hadronic initial-state effects. We pre…
Unbinned measurement of thrust in collisions at = 91.2 GeV with ALEPH archived data
The Electron-Positron Alliance, :, Anthony Badea +17
The strong coupling constant () is a fundamental parameter of quantum chromodynamics (QCD), the theory of the strong force. Some of the earliest precise constraints on $α_…
In-pixel integration of signal processing and AI/ML based data filtering for particle tracking detectors
Benjamin Parpillon, Anthony Badea, Danush Shekar +32
We present the first physical realization of in-pixel signal processing with integrated AI-based data filtering for particle tracking detectors. Building on prior work that demonst…
Energy Correlators from Partons to Hadrons: Unveiling the Dynamics of the Strong Interactions with Archival ALEPH Data
Hannah Bossi, Yi Chen, Yu-Chen Chen +12
Quantum Chromodynamics (QCD) is a remarkably rich theory exhibiting numerous emergent degrees of freedom, from flux tubes to hadrons. Their description in terms of the underlying q…
Agentic AI -- Physicist Collaboration in Experimental Particle Physics: A Proof-of-Concept Measurement with LEP Open Data
Anthony Badea, Yi Chen, Marcello Maggi +2
We present an AI agentic measurement of the thrust distribution in collisions at ~GeV using archived ALEPH data. The analysis and all note writing is ca…
MuCol Milestone Report No. 7: Consolidated Parameters
Rebecca Taylor, Antoine Chancé, Dario Augusto Giove +459
This document is comprised of a collection of consolidated parameters for the key parts of the muon collider. These consolidated parameters follow on from the October 2024 Prelimin…
The Muon Collider
Carlotta Accettura, Simon Adrian, Rohit Agarwal +450
Muons offer a unique opportunity to build a compact high-energy electroweak collider at the 10 TeV scale. A Muon Collider enables direct access to the underlying simplicity of the…
On-chip probabilistic inference for charged-particle tracking at the sensor edge
Arghya Ranjan Das, David Jiang, Rachel Kovach-Fuentes +32
Modern scientific instruments operate under increasingly extreme constraints on bandwidth, latency, and power. Inference at the sensor edge determines experimental data collection…
Long-range near-side correlation in Collisions at 183-209 GeV with ALEPH Archived Data
Yu-Chen Chen, Yi Chen, Anthony Badea +8
The first measurement of two-particle angular correlations for charged particles with LEP-II data is presented. The study is performed using archived hadronic data collect…
Solving Combinatorial Problems at Particle Colliders Using Machine Learning
Anthony Badea, William James Fawcett, John Huth +3
High-multiplicity signatures at particle colliders can arise in Standard Model processes and beyond. With such signatures, difficulties often arise from the large dimensionality of…
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…
Analysis note: measurement of thrust in collisions at = 91 GeV with archived ALEPH data
Anthony Badea, Austin Baty, Hannah Bossi +15
A measurement of the thrust distribution in collisions at GeV with archived data from the ALEPH experiment at the Large Electron-Positron Collider is…
Exploring the hadronic landscape, a novel search in multijet events at the ATLAS experiment
Anthony Badea
The exceptionally accurate Standard Model (SM) theory of fundamental interactions is known to be incomplete. Many new theories extend the SM, trying to solve some of the most compe…
Measurements of two-particle correlations in collisions at 91 GeV with ALEPH archived data
Anthony Badea, Austin Baty, Paoti Chang +7
Measurements of two-particle angular correlations of charged particles emitted in hadronic decays are presented. The archived annihilation data at a center-of-mass ene…
A data-driven and model-agnostic approach to solving combinatorial assignment problems in searches for new physics
Anthony Badea, Javier Montejo Berlingen
We present a novel approach to solving combinatorial assignment problems in particle physics without the need to introduce prior knowledge or assumptions about the particles' decay…
Smart Pixels: In-pixel AI for on-sensor data filtering
Benjamin Parpillon, Chinar Syal, Jieun Yoo +16
We present a smart pixel prototype readout integrated circuit (ROIC) designed in CMOS 28 nm bulk process, with in-pixel implementation of an artificial intelligence (AI) / machine…
Analysis note: Long-range near-side correlation in with -boson-pair events at 183-209 GeV with ALEPH archived data
Tzu-An Sheng, Yu-Chen Chen, Yi Chen +12
Events characterized by a high multiplicity of charged particles have been a central focus in the study of collective behavior across both large and small collision systems. A prev…
Sensor Co-design for
Danush Shekar, Ben Weiss, Morris Swartz +40
Pixel tracking detectors at upcoming collider experiments will see unprecedented charged-particle densities. Real-time data reduction on the detector will enable higher granularity…
Intelligent Pixel Detectors: Towards a Radiation Hard ASIC with On-Chip Machine Learning in 28 nm CMOS
Anthony Badea, Alice Bean, Doug Berry +16
Detectors at future high energy colliders will face enormous technical challenges. Disentangling the unprecedented numbers of particles expected in each event will require highly g…