Innovative Algorithms

Algorithms to perform the real-time processing in the trigger and the reconstruction of both real and simulated detector data are critical components of HEP’s computing challenge. University personnel, including graduate students and post-docs working on physics research grants, frequently develop and maintain innovative algorithms and implementations. These algorithms face a number of new challenges in the next decade due to new and upgraded accelerator facilities, detector upgrades and new detector technologies, increases in anticipated event rates, and emerging computing architectures. Tracking for the HL-LHC is an area in particular need of novel approaches, though the Institute will pursue other high-impact applications. The Institute will employ a wide range of strategies for the development of Innovative Algorithms.

Contact us: ia-team@iris-hep.org

IA Projects


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ACTS

Development of experiment-independent, inherently parallel track reconstruction.
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FastPID

Fast PID simulation for LHCb
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ML on FPGAs

Fast inference of deep neural networks on FPGAs
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Machine Learning for jets

Machine learning for jets
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PV-Finder

CNNs to find primary vertices
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IA Presentations

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IA Publications

Join us

We collaborate with groups around the world on code, data, and more. See our project pages for more.