Date:14/06/18
Physicists from the ATLAS, CMS and LHCb collaborations have just launched the TrackML challenge – your chance to develop new machine-learning solutions for the next generation of particle detectors.
The Large Hadron Collider (LHC) produces hundreds of millions of collisions every second, generating tens of petabytes of data a year. Handling this flood of data is a major challenge for physicists, who have developed tools to process and filter the events online within a fraction of a second and select the most promising collision events.
Managing the amount of data will become even more challenging in the near future: a major upgrade planned to begin operation in 2026, the High-Luminosity LHC, will increase the collision rate by up to a factor of five. Innovative new software solutions will be needed to promptly reconstruct the tracks produced by these collisions with the available computing resources.
To help address this issue, a team of machine-learning experts and LHC physicists has partnered with Kaggle to probe the question: can machine learning assist high-energy physics in discovering and characterising new particles?
Specifically, this competition challenges participants to build an algorithm that quickly and efficiently reconstructs particle tracks from 3D points left in the silicon detectors. The challenge consists of two phases:
- The “Accuracy Phase” is now running on Kaggle from May to July 2018. Here the focus is on the highest score, irrespective of the evaluation time. This phase is an official IEEE WCCI competition (Rio de Janeiro, July 2018).
- The “Throughput Phase” will run on the Codalab platform from July to October 2018. Participants will submit their software to be evaluated by Codalab. The focus here is on the throughput (or speed) of the evaluation while also achieving a good score. This phase is an official NIPS competition (Montreal, December 2018).
Sign up for the TrackML challenge today. The three top scorers will receive cash prizes. Selected winners may be awarded a top-notch NVIDIA v100 GPU, get the chance to visit CERN or attend the 2018 Conference on Neural Information Processing Systems in Montreal (Canada).
For more information and the conditions for participation, visit the Kaggle challenge website and the official TrackML Twitter account.
CERN announces a machine learning contest for particle tracking
Physicists from the ATLAS, CMS and LHCb collaborations have just launched the TrackML challenge – your chance to develop new machine-learning solutions for the next generation of particle detectors.The Large Hadron Collider (LHC) produces hundreds of millions of collisions every second, generating tens of petabytes of data a year. Handling this flood of data is a major challenge for physicists, who have developed tools to process and filter the events online within a fraction of a second and select the most promising collision events.
Managing the amount of data will become even more challenging in the near future: a major upgrade planned to begin operation in 2026, the High-Luminosity LHC, will increase the collision rate by up to a factor of five. Innovative new software solutions will be needed to promptly reconstruct the tracks produced by these collisions with the available computing resources.
To help address this issue, a team of machine-learning experts and LHC physicists has partnered with Kaggle to probe the question: can machine learning assist high-energy physics in discovering and characterising new particles?
Specifically, this competition challenges participants to build an algorithm that quickly and efficiently reconstructs particle tracks from 3D points left in the silicon detectors. The challenge consists of two phases:
- The “Accuracy Phase” is now running on Kaggle from May to July 2018. Here the focus is on the highest score, irrespective of the evaluation time. This phase is an official IEEE WCCI competition (Rio de Janeiro, July 2018).
- The “Throughput Phase” will run on the Codalab platform from July to October 2018. Participants will submit their software to be evaluated by Codalab. The focus here is on the throughput (or speed) of the evaluation while also achieving a good score. This phase is an official NIPS competition (Montreal, December 2018).
Sign up for the TrackML challenge today. The three top scorers will receive cash prizes. Selected winners may be awarded a top-notch NVIDIA v100 GPU, get the chance to visit CERN or attend the 2018 Conference on Neural Information Processing Systems in Montreal (Canada).
For more information and the conditions for participation, visit the Kaggle challenge website and the official TrackML Twitter account.
Views: 348
©ictnews.az. All rights reserved.
Similar news
- Azerbaijani project to monitor disease via mobile phones
- Innovative educational system to be improved under presidential decree
- NTRC prolongs license of two TV and radio organizations for 6 years
- Azerbaijan establishes e-registry for medicines
- Azerbaijani museum introduces e-guide
- Nar Mobile opens “Nar Dunyasi” sales and service center in Siyazan city
- International conference on custom electronic services held in Baku
- OIC secretary general to attend COMSTECH meeting in Baku
- Azerbaijan develops earthquake warning system
- New law to regulate transition to digital broadcasting in Azerbaijan
- Azerbaijani State Social Protection Fund introduces electronic digital signature
- Intellectual traffic management system in Baku to be commissioned in December
- Tax Ministry of Azerbaijan started receiving video-addresses
- World Bank recommends Azerbaijan to speed up e-service introduction in real estate
- Azerbaijan to shift to electronic registration of real estate
