feat(gsoc): Negative Weights #1820
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@graeme-a-stewart @eduardo-rodrigues Tagging admins |
Saptaparna
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Saptaparna
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label:"GSoC" |
maszyman
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maszyman
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Thanks for the proposals.
Please have a look at my comments inline.
Also, please consider adding AI policy, for example as suggested in #1804 (comment)
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| project: HSF | ||
| title: HSF | ||
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| logo: hsf_logo_angled.png | ||
| description: | | ||
| The HEP Software Foundation encourages cooperation and common | ||
| development of software in High Energy Physics. The HSF hosts | ||
| a number of software projects where developers are working to | ||
| solve current problems in particle physics. | ||
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| {% include gsoc_project.ext %} | ||
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This does not seem to be needed. Please have a loot at template in e.g. #1804
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| title: Negative weight mitigation with cell resampling in ATLAS workflows | ||
| layout: gsoc_proposal | ||
| project: Negative weight, ATLAS event generator workflows |
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This should correspond to the project that needs to be defined in _gsocproject/2026/. We already have there ATLAS is that what this proposal targets.
| layout: gsoc_proposal | ||
| project: Negative weight, ATLAS event generator workflows | ||
| year: 2026 | ||
| organization: Southern Methodist University |
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This name should correspond to the definition in _gsocorgs/2026. Please check the examples, but you may need to create smu.md in there.
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| Negatively weighted events arise as a result of subtraction schemes in next-to-leading (or higher) order event generators. The fraction of negatively weighted events vary as a function of phase space requirements that are imposed in experimental analyses making it imperative to store these events for time consuming downstream processing like detector simulation. They are a severe source of inefficiency in event generator workflows, requiring large datasets to mitigate statistical dilution caused by negatively weighted events. | ||
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| A method to redistribute negatively weighted events was proposed in arXiv:2109.07851 and subsequently in arXiv:2303.15246. We plan to use this method for ATLAS event generator workflows. The method has been previously implemented in CMS for small-scale tests. In this project, we will extend the scope of previous explorations in both ATLAS and CMS by identifying computationally intensive workflows and running validation tests that are designed to ensure that distributions of physical observables are not sculpted as a result of the removal of negatively weighted events. |
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Please make those arXiv references the clickable links.
| * Design an event generator workflow and validation suite that tests the cell resampling method for negative weight removal | ||
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| ## Requirements | ||
| * Familiarity with python and C++ |
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| * Familiarity with python and C++ | |
| * Familiarity with Python and C++ |
| * [Saptaparna Bhattacharya](mailto:[email protected]) | ||
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| ## Links | ||
| * [Cell resampling](https://cres.hepforge.org/) |
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This looks to be a Rust project. Would it make sense to add it in requirements?
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| project: HSF | |||
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Same editorial comments as for the previous proposal.
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| ## Expected results | ||
| Release a modified version of MCFM that successfully incorporates the negative weight mitigation strategy, demonstrating reduced statistical dilution. | ||
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You are missing Mentors section.
If you are the only mentor also for this project, please consider adding a co-mentor as Google suggests that mentors should mentor 1 contributor project, and there should be preferably 2 mentors per project.
2 participants
PR for two projects on negative weight mitigation.