2024 projects

_gsocorgs/2024/ucl.md

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+---
+title: "University College London"
+author: "Jon Butterworth"
+layout: default
+organization: UCLondon
+logo: UCL-logo.png
+description: |
+  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.
+---
+
+{% include gsoc_proposal.ext %}

_gsocorgs/2024/uglasgow.md

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+---
+title: "University of Glasgow"
+author: "Andy Buckley"
+layout: default
+organization: UofGlasgow
+logo: UGlasgow-logo.png
+description: |
+  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.
+---
+
+{% include gsoc_proposal.ext %}

_gsocprojects/2024/project_MCnet.md

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+---
+project: MCnet
+title: MCnet
+layout: default
+logo: mcnet-logo.png
+description: |
+    [MCnet](http://montecarlonet.org) is a collaboration between the developers of
+    the major collision-event modelling tools used at the [Large Hadron
+    Collider](http://home.web.cern.ch/topics/large-hadron-collider) (LHC) and
+    beyond. These codes are so-called "MC event generators", theoretical physics
+    packages that perform quantum mechanics calculations and create simulated
+    particle collisions. MC generators are an essential component
+    of both modern particle physics experiments and theory, and provide a crucial
+    bridge between those two communities. MCnet projects include both event
+    generators themselves, and tools that connect them to both experiment and
+    theory.
+summary: |
+    [MCnet](http://montecarlonet.org) is a community linking the developers of
+    particle-theory simulations with experimentalists and others who use and
+    make tools for analysing the simulated events. Projects may be available
+    from both aspects of the community.
+---
+
+{% include gsoc_project.ext %}

_gsocproposals/2024/proposal_MCnetLHAPDF.md

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+---
+title: MCnet/LHAPDF - online dashboard and data-visualisation for parton density functions
+layout: gsoc_proposal
+project: MCnet
+year: 2024
+organization:
+  - UofGlasgow
+difficulty: medium
+duration: 175
+mentor_avail: June-October
+---
+
+# Description
+
+The Large Hadron Collider smashes protons into each other at the highest
+energies humanity has ever engineered. Protons are a very convenient type of
+particle for our high-energy beams : they are plentiful, and they don't lose
+(lots of) energy like electrons do when accelerated around the LHC ring. But
+they are not *fundamental* particles: they are made up of a tightly bound
+collection of smaller particles, and to make the most out of LHC experiments we
+need to understand both what we do and don't know about the internal structure
+of the proton that these objects induce. We encode this through so-called parton
+density functions, or PDFs.
+
+The [LHAPDF](https://lhapdf.hepforge.org) C++ library, wrapped with a
+Python interface, is the LHC's standard system for supplying PDF data
+to both experiments and theory calculations. Over 1000 sets of PDF fits
+are available in the LHAPDF data collection.
+
+## Task ideas
+
+This project will build on the LHAPDF test suite to report the current status
+of PDF data files and validation, and allow online exploration, comparison
+and plotting of PDF functions.
+
+
+## Expected results and milestones
+
+ * Familiarise with the LHAPDF framework from interface to calculation components;
+ * Familiarise with current LHAPDF CI and regression tests;
+ * Design and present a Web dashboard of PDF datasets and their validation status;
+ * Add a live PDF plotting tool to the Web interface, including 1D and 2D
+   comparisons of PDF functions.
+
+## Requirements
+
+ * Python
+ * Web coding and visualisation libraries
+ * CI testing
+ * git
+
+
+## Mentors
+
+ * **[Andy Buckley](mailto:[email protected])**
+
+
+## Links
+
+ * [LHAPDF](https://lhapdf.hepforge.org)

_gsocproposals/2024/proposal_MCnetRivet.md

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+---
+title: MCnet/Rivet - multiarch Docker images from CI
+layout: gsoc_proposal
+project: MCnet
+year: 2024
+organization:
+  - UofGlasgow
+difficulty: medium
+duration: 175
+mentor_avail: June-October
+---
+
+# Description
+
+[Rivet](https://rivet.hepforge.org) is a toolkit for analysing
+simulated collider events. It reconstructs the main physics processes
+underlying the many particles in Monte Carlo event graphs, in a way
+that allows new theories to be easily compared to experimental
+data. This is a key way in which we test Large Hadron Collider (LHC)
+data against ever-improving theory models, including proposals of new
+physics beyond the Standard Model.
+
+
+## Task ideas
+
+This project will improve the Rivet documentation and release system
+by automating generation and sharing of multi-architecture Docker images
+from the GitLab continuous integration system, along with updated,
+automatically generated documentation and web pages.
+
+
+## Expected results and milestones
+
+ * Familiarise with the Rivet framework;
+ * Familiarise with the Rivet release process, including current CI, documentation, and Docker build scripts;
+ * Migrate Docker build scripts into CI, automating and removing the need for local builds;
+ * Extend Docker builds to multi-architecture images optimised for x86 and Mac M1/2 processors;
+ * Complete web docs migration into CI builds, enabling new website deployment.
+
+## Requirements
+
+ * Python
+ * Docker
+ * CI testing
+ * git
+
+
+## Mentors
+
+ * **[Andy Buckley](mailto:[email protected])**
+ * [Chris Gutschow](mailto:[email protected])
+
+
+## Links
+
+ * [Rivet](https://rivet.hepforge.org)

gsoc/2024/mentors.md

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 ## Full Mentor List (Name, Email, Org)
 * Parth Arora [[email protected]](mailto:[email protected]) CompRes
 * Jakob Blomer [[email protected]](mailto:[email protected]) CERN
+* Andy Buckley [[email protected]](mailto:[email protected]) UofGlasgow
 * Peter Van Gemmeren [[email protected]](mailto:[email protected]) ANL
+* Chris Gutschow [[email protected]](mailto:[email protected]) UCLondon
 * Benedikt Hegner [[email protected]](mailto:[email protected]) CERN
 * Aaron Jomy [[email protected]](mailto:[email protected]) CompRes
 * Wim Lavrijsen [[email protected]](mailto:[email protected]) CompRes