HSF Reconstruction & SW Trigger survey

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The HSF Reconstruction and SW Trigger working group aims to strengthen the use of common software between and elevate the scientific exchange about reconstruction and software triggers with the HEP community.

With this survey, we would like to get an overview on topics, tasks and training possibilities where the HSF could assist and support your work or your area of interest.

Please indicate which of these topics would be of (particular) interest for you/your experiment and augment the list with potentially missing items.

The survey is structured into:

1) topical meeting/projects
Topics that could either be addressed by a meeting to foster exchange, or spark a project. These may overlap with other working groups in the HSF which would allow joint workshops or initiatives.

2) training possibilities
Which trainings could be supported/facilitated by the HSF for the benefit of the experiments

2) data sets, a discussion about data sets for algorithm research (including machine learning)
Can the HSF provide datasets (similar to the TrackML dataset) that would allow algorithm R&D and exchange of ideas, benchmarking

Topical Meetings/Projects

Machine Learning/Data science (inspired) algorithms & their integration into production code

Particle flow: applications, common tools & experiences

4D reconstruction: time measurement usage in pattern recognition, pile-up suppression

Use of heterogenous computing in reconstruction: from frameworks to algorithms

Alignment & calibration: common tools

Advanced Trigger Strategies

Geometry: reconstruction needs, interplay with simulation geometry, common software

Turn-key SW integration: experience & challenge for newcomers

Additional topics I would like to see covered

Trainings

General introduction into Reconstruction Algorithms

General introduction into Trigger Algorithms

Algorithm & event data development for CPU/GPU/Heterogenous hardware

Additional Trainings I would like to see covered

Datasets, e.g. training, R&D datasets (like TrackML), benchmark datasets the HSF could try to provide

My experiments has open accessible data for algorithm/reconstruction/trigger SW R&D

I would profit from a data set for algorithm/reconstruction/trigger SW R&D

Some specific datasets could profit of for R&D

Additional Comments/remarks

A talk/topic (with potential speaker nomination) I would like suggest for the HSF Reconstruction/SW Trigger WG to be covered in the next time

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