2025 Outstanding Achievement Award Winners

ATLAS Year

The ATLAS Outstanding Achievement Award winners for 2025 are:

  • Masato Aoki (KEK), Leesa Brown (Victoria and TRIUMF), George Chatzianastasiou (CERN and BNL), Thiago Costa de Paiva (University of Massachusetts Amherst)(not pictured), Nathan Felt (Harvard)(not pictured), Simone Francescato (Harvard), Eleni Kanellaki (Demokritos)(not pictured), Foteini Kolitsi (uniWA), Audrey Kvam (University of Massachusetts Amherst), Callum McCracken (Vancouver UBC and TRIUMF), Tomoyuki Saito (Tokyo ICEPP), Yoshiaki Tsujikawa (Kyoto) for the deployment of the complete Phase-I L1 Muon Endcap Trigger, including the NSW triggers, enabling ATLAS to run at higher pileup and gather more data in 2024.
  • Doug Benjamin (Brookhaven BNL)(not pictured), Andrej Filipcic (Jozef Stefan Institute, Ljubljana)(not pictured), Michal Svatos (Prague AS), Rod Walker (Munich LMU)(not pictured) for advancing the experiment’s computing infrastructure through the integration of HPCs, which contribute substantially to ATLAS’s Run 3 computing power.
  • Brian Andrew Cole (Columbia), Riccardo Longo (Urbana UI) for contributing to the installation, commissioning and operation of the ZDC detector and responding to multiple challenges in November 2024.
  • Bojan Hiti (Jozef Stefan Institute, Ljubljana)(not pictured), Alissa Howard (Jozef Stefan Institute, Ljubljana)(not pictured), Xuewei Jia (Beijing IHEP), Mengzhao Li (Beijing IHEP)(not pictured), Chihao Li (CERN), Kuo Ma (USTC)(not pictured), Theodoros Manoussos (CERN), Weiyi Sun (IHEP CAS), Guilherme Tomio Saito (Universidade de São Paulo), Iskra Velkovska (Jozef Stefan Institute, Ljubljana), Xiao Yang (USTC)(not pictured), Mei Zhao (Beijing IHEP)(not pictured) for the successful design and testing campaign of the HGTD LGAD sensors that led to the start of sensor production.
  • Tobias Bisanz (Dortmund) for management of pixel code and databases, improving reliability and speed of detector calibrations, contributions to operations, and substantial improvements to system stability and monitoring in 2024.
  • André Rummler (CERN) for years of exceptional management of ATLAS operations, including significant interventions in 2024 to manage the recovery of the ATLAS infrastructure in the face of cooling challenges, enabling excellent data-taking efficiency.
  • Huacheng Cai (Pittsburgh), Etienne Fortin (CERN)(not pictured), Davide Mungo (Toronto), Pavol Strizenec (Kosice)(not pictured) for successful operation of the LAr detector, including contributions to online software and detector control systems, while commissioning the digital trigger.

See the News Article on the 2025 Awards

Introductory Video to ATLAS & the LHC

About the multilingual video

This introductory video to the ATLAS Experiment and the LHC is designed for first-time audiences, offering an accessible introduction to high-energy physics research. It is ideal for educational presentations and public outreach activities. The video is available in multiple languages, with voiceovers recorded by members of the ATLAS Collaboration.

Watch the video on YouTube using the multilingual audio track feature to choose your preferred voiceover language. All voiceovers were recorded by members of the ATLAS Collaboration. To change the language, click the Settings icon (⚙️) on the YouTube player. Each language version of the video can also be viewed or downloaded from CDS via the links below.

Downloads


English: Introduction to the ATLAS Experiment and the Large Hadron Collider
Download from CDS


French: Introduction à l’expérience ATLAS et au Grand collisionneur de hadrons
Download from CDS


German: Einführung in das ATLAS-Experiment und den Large Hadron Collider
Download from CDS


Italian: Introduzione all’esperimento ATLAS e al Large Hadron Collider
Download from CDS


Spanish: Introducción al experimento ATLAS y al Gran Colisionador de Hadrones
Download from CDS


Portuguese (Brazilian): Introdução ao Experimento ATLAS e ao Grande Colisor de Hádrons
Download from CDS

Credit and Terms of Use

The ATLAS Experiment Introductory Video is free to use for personal and educational use. Read the full terms of use. Content Copyright: ATLAS Experiment © CERN

  • Video by Noemi Caraban Gonzalez
  • Script by Katarina Anthony on behalf of the ATLAS Collaboration.
  • Project development: Dilia Portillo, Hans Peter Beck and Katarina Anthony on behalf of the ATLAS Collaboration.
  • Voiceovers and Translations by ATLAS Collaboration members: Lucas Bezio (French), Michael Holzbock (German), Sofia Cella (Italian), Denis Oliveira Damazio (Portuguese) and Dilia Portillo (Spanish).

ATLAS & LHC Intro Video

Submitted by Katarina Anthony on
Intro Video

This introductory video to the ATLAS Experiment and the LHC is designed for first-time audiences, offering an accessible introduction to high-energy physics research. It is ideal for educational presentations and public outreach activities. The video is available in multiple languages, with voiceovers recorded by members of the ATLAS Collaboration.

Resource Category
1 - Media
Resource Format
Video
Audience Type
Primary Students
Secondary Students
Anyone
Tags
public engagement
Priority
2 - high

Particle decay, lifetime & width

Submitted by Steven Goldfarb on
Sheet Type
Particle Decay, Lifetime & Width

Particle Decay, Lifetime & Width

The lifetime (or equivalently, the width) and the different ways elementary particles can decay are fundamental properties crucial for physicists exploring the boundaries of known physics.

Family Name
Unal
Given Name
Guillaume

Photo
Guillaume Unal

Family Name
Sfyrla
Given Name
Anna

Photo
Anna Sfyrla

2024 Thesis Award Winners

ATLAS Year
ATLAS Award

The ATLAS Thesis Award winners for 2024 are:

See the News Article on the 2024 Awards.

Monte Carlo Simulation

Submitted by Steven Goldfarb on
Sheet Type
Monte Carlo Simulation

Monte Carlo Simulation

Monte Carlo (MC) methods help ATLAS physicists simulate data by generating theoretical collisions based on both known and theorised physics. We use the simulated data to help us understand the detector’s behaviour, optimise algorithms, and identify new physics.