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.github/config/mdcheck.json

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"pattern": "https://www.sciencedirect.com/science/article/abs/pii*"
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"pattern": "/assets/CWP-Charge-HSF.pdf"
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_activities/gsoc.md

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*HSF GSoC mentor discussion* [e-group](mailto:[email protected])
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*HSF GSoC administrators:* [Wouter Deconinck, Maciej Szymanski, Valentin Volkl](mailto:[email protected])
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*HSF GSoC administrators:* [Wouter Deconinck, Maciej Szymanski, Valentin Volkl, Aaron Jomy](mailto:[email protected])
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_activities/recotrigger.md

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## Get involved
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Current WG conveners:
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- Christina Agapopoulou (LHCb, CERN)
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- Claire Antel (ATLAS/FASER, Uni Geneva)
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- Joe Osborn (sPHENIX/ePIC, Brookhaven National Laboratory)
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- Christian Wessel (Belle II, DESY)
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- Maarten van Veghel (LHCb, Nikhef)
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- Ines Ochoa (ATLAS, LIP)
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[Contact the group conveners](mailto:[email protected],claire.antel@cern.ch,[email protected]) by email. <!-- markdown-link-check-disable-line -->
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[Contact the group conveners](mailto:[email protected],[email protected],maarten.vanveghel@cern.ch,[email protected]) by email. <!-- markdown-link-check-disable-line -->
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Everyone is welcome to participate and contribute on the forum and to the ongoing meetings. For more information, contact us or
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follow our mailing list on google groups [hsf-recotrigger](https://groups.google.com/forum/#!forum/hsf-recotrigger).
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## Former Conveners
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- Christina Agapopoulou (LHCb, CERN), 2023-2024
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- Claire Antel (ATLAS/FASER, Uni Geneva), 2023-2024
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- Giulia Casarosa (Belle II, Universita di Pisa), 2022-2023
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- Andreas Salzburger (ATLAS, CERN), 2021-2022
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- Jin Huang (sPHENIX/EIC, BNL), 2021-2022

_activities/toolsandpackaging.md

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The group is currently coordinated by:
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- Ruslan Mashinistov (BNL)
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- Juan Miguel Carceller (CERN)
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- Wouter Deconinck (University of Manitoba)
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- Patrick Gartung (Fermilab)
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- Nathan Brei (Jefferson Lab)
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- Reiner Hauser (ATLAS)
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- Andrea Valenzuela Ramirez (CMS)
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All the coordinators can be reached [by email](mailto:[email protected],[email protected],[email protected],[email protected]). <!-- markdown-link-check-disable-line -->
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All the coordinators can be reached [by email](mailto:[email protected],[email protected],[email protected]). <!-- markdown-link-check-disable-line -->
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### Activities
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- Marc Paterno (DUNE and Fermilab), 2021-2022
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- Valentin Volkl (FCC and CERN), 2023
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- Henry Schreiner (IRIS-HEP / Princeton), 2023
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- Patrick Gartung (Fermilab), 2023-2024
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- Nathan Brei (Jefferson Lab), 2024
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- Reiner Hauser (ATLAS), 2024
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- Andrea Valenzuela Ramirez (CMS), 2024

_gsocorgs/2025/anl.md

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---
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title: "ANL"
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author: "Maciej Szymanski"
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layout: default
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organization: ANL
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logo: ANL-logo.png
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description: |
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Argonne National Lab (ANL) is a multidisciplinary science and engineering research center, where talented scientists and engineers work together to answer the biggest questions facing humanity, from how to obtain affordable clean energy to protecting ourselves and our environment.
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---
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{% include gsoc_proposal.ext %}

_gsocorgs/2025/baler.md

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---
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title: "BALER"
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author: "James Smith"
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layout: default
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organization: baler
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logo: baler-logo.png
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description: |
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BALER is a compression tool undergoing development at the particle physics division of the University of Manchester. BALER uses autoencoder and other types of neural networks as a type of lossy machine learning-based compression to compress multi-dimensional data and evaluate the accuracy of the dataset after compression. BALER is led by a collaboration of early-career scientists and welcomes all contributions.
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---
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{% include gsoc_proposal.ext %}

_gsocorgs/2025/bnl.md

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---
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title: "Brookhaven National Laboratory"
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author: "Michel Hernandez Villanueva"
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layout: default
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organization: BNL
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logo: BNL-logo.png
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description: |
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Brookhaven National Laboratory (BNL) is a multipurpose research laboratory located in Upton, New York.
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It is operated by Brookhaven Science Associates for the U.S. Department of Energy.
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It hosts the Relativistic Heavy Ion Collider, the future Electron-Ion Collider and the National Synchrotron Light Source II.
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BNL scientists are part of major HEP experiments, such as ATLAS, Belle II, and DUNE.
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---
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{% include gsoc_proposal.ext %}

_gsocorgs/2025/umanchester.md

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---
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title: "University of Manchester"
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author: "Caterina Doglioni"
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layout: default
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organization: UManchester
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logo: UofM-logo.png
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description: |
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The [University of Manchester](<https://www.manchester.ac.uk>) is a leading UK research university. We have a large particle physics group with contributions to LHC experiments, dark matter, flavour, neutrino and muon experiments. We also carry out research into new detector technologies and new data acquisition strategies for future experiments. We are also involved in distributed computing for LHC experiments, hosting one of the largest and most successful Tier-2 distributed computing centres in the UK.
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---
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{% include gsoc_proposal.ext %}
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---
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project: ATLAS
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layout: default
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logo: ATLAS-logo.png
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description: |
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[ATLAS](http://atlas.cern) is one of the four major experiments at the [Large Hadron Collider](http://home.web.cern.ch/topics/large-hadron-collider) (LHC) at [CERN](http://home.cern/). It is a general-purpose particle physics experiment run by an international collaboration and is designed to exploit the full discovery potential and the huge range of physics opportunities that the LHC provides.
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---
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{% include gsoc_project.ext %}
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---
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project: CppInterOp
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layout: default
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logo: InterOp-logo.png
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description: |
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[CppInterOp](https://github.com/compiler-research/CppInterOp) is a C++ Interoperability library, which leverages ROOT's Cling and LLVM's Clang-REPL C++ interpreters, to provide a minimalist and backward-compatible API facilitating seamless language interoperability. This provides downstream interactive C++ tools with the compiler as a service by embedding Clang and LLVM as libraries in their codebases. By enabling dynamic Python interactions with static C++ codebases, CppInterOp enhances computational efficiency and rapid development in high-energy physics. The library offers primitives enabling cppyy, an automatic, run-time, Python-C++ bindings generator. The CppInterOp library provides a minimalist approach for other languages to bridge C++ entities (variables, classes, etc.). This enables interoperability with C++ code, bringing the speed and efficiency of C++ to simpler, more interactive languages like Python.
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summary: |
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The [CppInterOp](https://github.com/compiler-research/CppInterOp) library provides a minimalist approach for other languages to bridge C++ entities (variables, classes, etc.). This enables interoperability with C++ code, bringing the speed and efficiency of C++ to simpler, more interactive languages like Python.
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---
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{% include gsoc_project.ext %}

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