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Working group of Sascha Caron
Associate Professor
Radboud University and Nikhef

Particle Physics, Dark Matter,
Colliders, Machine Learning,
ATLAS experiment, Phenomenology, Astrophysics
Data-derived Search Strategies


Working group Sascha Caron

I'm a particle physicists and work since begin 2006 for the ATLAS experiment at CERN (Geneva). I was a member of the DØ experiment at Fermilab (Chicago) between 2004 and 2006 and a member of the H1 experiment at DESY (in Hamburg) between 1998 and 2004.

Together with my group I try to discover signals of new physics, e.g. physics beyond our current theory of the microscopic world (the so called Standard Model). We also apply advanced data science methods to problems in astroparticle physics, astrophysics and theory.
Select some of the research topics from the menu bar.

For those even more interested in my physics life: a brief CV
ATLAS Experiment

RESEARCH: ATLAS EXPERIMENT

ATLAS Experiment
This is a collection of work that we are doing in ATLAS (including some links to notes, papers and relevant webpages):

Some coordination activities of group members: Monte Carlo studies, Data analysis, software, trigger, upgrade activities:

Additional (old) info: - My Outreach work and some review articles
- Interested in really old stuff? My Ph.D. thesis and diploma thesis at the RWTH Aachen can be found here.
Data Science and Machine Learning for Particle Physics & Dark Matter

RESEARCH: DATA SCIENCE & MACHINE LEARNING IN PARTICLE PHYSICS

Examples for our data science related research topics are:
- A database for high-parameteric data in the fields of Astro and Particlephysic : Prototype at idarksurvey (based on SPOT developed with the Dutch escience center)
- Using Machine Learning and advanced data analysis to identify the nature of Dark Matter. We initated the worldwide first workshop and build a community. Go to darkmachines.org
- The the idark project with the Dutch escience center
- The BSM-AI project to use machine learning to learn the global model-data: susy-ai & bsm-ai
- The ASTRO-AI projec to use ConvNets for Astrophysics, a first paper is : ConvNets for gamma-rays
- The DeepXS project to learn cross sections: DeepXS
- Exploring physical models with active learning
- Building deep generative model based Event Generators
- Data-derived searches for New Physics and search algorithms:
work in H1 experiment, , work in ATLAS

Phenomenology

RESEARCH: PHENOMENOLOGY & DATA SCIENCE IN PARTICLE PHYSICS


We published a few papers outside of the ATLAS, D0 and H1 collaborations. Full list of papers containing my name can be found here here .
Our group members also collaborate on research topics with Astronomers and Astrophysics, especially with the application of Machine Learning methods. Examples are papers on Astroseismology and the Event Horizon Projects by Luc Hendriks and various projects within the darkmachines initiative.
Teaching

Teaching

@Radboud University Nijmegen:
Former students and Post Docs:

CONTACT

Contact

Dr. Sascha Caron
Associate Professor
Radboud University Nijmegen and Nikhef
Email: scaron at cern.ch


Tel. in Nijmegen:
+31 24 365 3660
Tel. at CERN:
+41 22 76 76049

in Nijmegen:
Experimental High Energy Physics
Huygens building (room: HG02.828)
Heyendaalseweg 135
6525 AJ Nijmegen
The Netherlands
at CERN:
Bld. 54 Room 3-002




 

Brief CV


Sascha Caron is associate professor at the Radboud University in Nijmegen and a senior researcher within the Nikhef consortium. He is a leading researcher at the ATLAS experiment at CERN where he was co-responsible for the first searches for Dark Matter and Supersymmetry and initiated generic “data-derived” searches for new physics. Caron also works on phenomenology, astrophysics and the application of machine learning methods. His prime research objective are searches for signals of new physics. Caron is a main author of >70 publications with >6000 citations and co-author of >900 publications (h-index>100).
Other recent activities: He is the PI of the ’IDARK’ project with the Netherlands eScience Center, the ’quantum generators’ project with the Dutch supercomputer center SURFsara and the AI/ML convener of the “Les Houches workshop\ ” series for Physics at TeV colliders. He also co-founded and co-coordinates the international darkmachines initiative, which aims to accelerate searches for Dark Matter with machine learning.