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Add two MCnet projects (#1633)
* 2024 projects * Add two MCnet projects for 2025 * Typo
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_gsocorgs/2025/ucl.md

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---
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title: "University College London"
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author: "Jon Butterworth"
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layout: default
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organization: UCLondon
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logo: UCL-logo.png
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description: |
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Founded in 1826 in the heart of London, [University College London](https://www.gla.ac.uk/) is London's leading multidisciplinary university, with more than 13,000 staff and 42,000 students from 150 different countries. It is one of the UK's leading groups in the field of particle physics.
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---
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{% include gsoc_proposal.ext %}

_gsocorgs/2025/uglasgow.md

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---
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title: "University of Glasgow"
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author: "Andy Buckley"
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layout: default
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organization: UofGlasgow
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logo: UGlasgow-logo.png
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description: |
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The [University of Glasgow](https://www.gla.ac.uk/) is a leading UK research university based in Scotland's largest city. We work on [particle physics experiments](https://www.gla.ac.uk/schools/physics/research/groups/particlephysicsexperiment/) from the LHC to neutrinos, particle theory from interpretations of Higgs and top-quark measurements to the strong force, and high-performance distributed computing.
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---
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{% include gsoc_proposal.ext %}
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---
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project: MCnet
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title: MCnet
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layout: default
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logo: mcnet-logo.png
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description: |
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[MCnet](http://montecarlonet.org) is a collaboration between the developers of
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the major collision-event modelling tools used at the [Large Hadron
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Collider](http://home.web.cern.ch/topics/large-hadron-collider) (LHC) and
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beyond. These codes are so-called "MC event generators", theoretical physics
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packages that perform quantum mechanics calculations and create simulated
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particle collisions. MC generators are an essential component
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of both modern particle physics experiments and theory, and provide a crucial
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bridge between those two communities. MCnet projects include both event
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generators themselves, and tools that connect them to both experiment and
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theory.
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summary: |
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[MCnet](http://montecarlonet.org) is a community linking the developers of
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particle-theory simulations with experimentalists and others who use and
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make tools for analysing the simulated events. Projects may be available
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from both aspects of the community.
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---
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{% include gsoc_project.ext %}
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---
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title: MCnet/MCviz - graph and 3D-viewer tools for simulated particle collisions
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layout: gsoc_proposal
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project: MCnet
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year: 2024
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organization:
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- UofGlasgow
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difficulty: medium
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duration: 350
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mentor_avail: June-October
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---
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# Description
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Simulations are key to particle-physics research: many modern
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theoretical models have such complex consequences that we test theory
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not by comparing measurements of particle collisions to predicted
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functional forms, but by _generating_ simulated collision-events from
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the theory and analyzing them identically to the real ones from the
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particle collider.
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This means that event generators are incredibly important to particle
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physics, as the most-used link between experiment and theory, and as a
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crucial data format for exchange of ideas. They are also an excellent
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way to introduce new researchers and the public to particle-physics
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concepts. However, the toolset for MC event manipulation and
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visualisation is less powerful and coherent than it should be, and
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this project seeks to improve that situation!
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## Task ideas
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This project will pick up old ideas and code for MC-event
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visualisation -- both of the interaction graph that illustrates the
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internal theory computation, and the external appearance of the
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resulting collision decay-products -- and produce a new set of tools
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useful both to physicists and for public outreach.
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## Expected results and milestones
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* Extend the mcgraph tool to be usable with both the HepMC and LHE MC-event formats.
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* Refactor mcgraph into a library capable of rendering to a web browser in a server app.
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* Interface the Phoenix event-viewer library to display 3D events (with and without a dummy detector model) to a web browsers.
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* Display interactive particle information and jet clustering in graph and 3D view interfaces.
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## Requirements
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* Command-line tools
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* Python
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* Web technologies
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* Gitlab CI
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* git
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## Mentors
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* **[Andy Buckley](mailto:[email protected])**
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* [Chris Gutschow](mailto:[email protected])
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## Links
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* [Phoenix event view library](https://github.com/HSF/phoenix)
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* [Old MCview web-based MC event viewer](https://gitlab.com/hepcedar/mcview)
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* [MC event-graph viewer](https://gitlab.com/hepcedar/mcutils/-/blob/master/bin/mcgraph?ref_type=heads)
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* [Old MCviz event-graph viewer](https://github.com/mcviz/mcviz)
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* [HepMC3 event format](https://hepmc.web.cern.ch/)
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* [LHE event format](https://arxiv.org/abs/hep-ph/0609017)
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---
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title: MCnet/OpenData - tools and exercises for open-data exploration with MC simulations
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layout: gsoc_proposal
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project: MCnet
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year: 2024
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organization:
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- UofGlasgow
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difficulty: medium
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duration: 175
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mentor_avail: June-October
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---
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# Description
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CERN's experiments are committed to publishing their data in a form that
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is accessible to all, both for research purposes and for education. For
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example, the ATLAS experiment provides Jupyter notebook exercises based
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on live-analysing reduced forms of the real collider data.
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But particle-physics researchers also use _simulations_ of data as a
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crucial tool for testing theories and for understanding the background
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processes that new physics effects have to be isolated from. For this
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we use Monte Carlo (MC) event-generator codes, which are statistical
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implementations of the fundamental physics theory that sample
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real-looking events from the predicted particle types and
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kinematics. These are not yet represented in open-data exercises.
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## Task ideas
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In this project we will develop new tools and exercises for extending
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open-data analysis resources to include MC event simulations. It will
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both reduce the entry barriers to outreach with open data and enable more
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engaging exercises with hypothetical new-physics models.
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## Expected results and milestones
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* Develop a library of wrapper functions to make open-data analysis more approachable for non-experts.
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* Create functions and datasets for loading and analysing MC event samples through Jupyter.
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* Develop a new Jupyter+Binder worksheet for outreach-oriented open-data MC analysis.
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## Requirements
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* Python
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* Jupyter
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* Binder
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* Gitlab CI
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* git
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## Mentors
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* **[Andy Buckley](mailto:[email protected])**
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* [Chris Gutschow](mailto:[email protected])
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## Links
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* [ATLAS open data](https://atlas.cern/Resources/Opendata)
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* [Example open-data analysis notebook](https://nbviewer.org/github/atlas-outreach-data-tools/notebooks-collection-opendata/blob/master/13-TeV-examples/cpp/ATLAS_OpenData_13-TeV__analysis_example-cpp_Hyy_channel.ipynb)
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* [Jupyter](https://jupyter.org/)
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* [Binder](https://mybinder.org/)

gsoc/2024/mentors.md

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* Petro Zarytskyi [[email protected]](mailto:[email protected]) CompRes
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* Lorenzo Moneta [[email protected]](mailto:[email protected]) CERN
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* Sanjiban Sengupta [[email protected]](mailto:[email protected]) CERN
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* Neel Shah [[email protected]](mailto:[email protected]) CERN
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* Neel Shah [[email protected]](mailto:[email protected]) CERN

gsoc/2025/mentors.md

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**Note for contributors:** entries must be sorted in **last name** alphabetic order
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## Full Mentor List (Name, Email, Org)
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* Andy Buckley [[email protected]](mailto:[email protected]) UofGlasgow
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* Chris Gutschow [[email protected]](mailto:[email protected]) UCLondon
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* Valentin Volkl [[email protected]](mailto:[email protected]) CERN

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