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Copy file name to clipboardexpand all lines: talk.md
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October 21st, 2024
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# Self Notes (slide will be removed for talk)
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* .bold[Time]: 18 minute talk
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- .bold[15 minutes talk]
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- 3 minutes questions
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* .bold[Abstract]:
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The ATLAS experiment is in the process of developing a columnar analysis demonstrator, which takes advantage of the Python ecosystem of data science tools.
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This project is inspired by the analysis demonstrator from IRIS-HEP.
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The demonstrator employs PHYSLITE OpenData from the ATLAS collaboration, the new Run 3 compact ATLAS analysis data format.
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The tight integration of ROOT features within PHYSLITE presents unique challenges when integrating with the Python analysis ecosystem.
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The demonstrator is constructed from ATLAS PHYSLITE OpenData, ensuring the accessibility and reproducibility of the analysis.
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The analysis pipeline of the demonstrator incorporates a comprehensive suite of tools and libraries.
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These include uproot for data reading, awkward-array for data manipulation, Dask for parallel computing, and hist for histogram processing.
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For the purpose of statistical analysis, the pipeline integrates cabinetry and pyhf, providing a robust toolkit for analysis.
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A significant component of this project is the custom application of corrections, scale factors, and systematic errors using ATLAS software.
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The infrastructure and methodology for these applications will be discussed in detail during the presentation, underscoring the adaptability of the Python ecosystem for high-energy physics analysis.
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# Challenges for Future Analysis
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</a>
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</p>
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.caption[([ATLAS Software and Computing HL-LHC Roadmap](https://cds.cern.ch/record/2802918), 2022)]
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.center.large[Moving forward won't be able to store everything on disk]
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.large[
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* Won't be able to store everything on disk
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* Move towards "trade CPU for disk" model
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]
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]
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.kol-1-2[
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<pstyle="text-align:center;">
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* Common file format for .bold[Run 4 Analysis Model]
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* Contains already-calibrated objects for fast analysis
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* Monolithic: Intended to serve ~80% of physics analysis in Run 4
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*Directly used without need for ntuples
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*Can use directly without need for ntuples
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]
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.kol-1-2[
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.large[
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* Higher level APIs for new users and improved user experience
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* Higher level APIs for physicists and improved user experience
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- People using columnar analysis on ntuples already seem to be loving it
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- Enable the same UX but without ntupling (save disk)
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* Potential for higher performance
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* Advancements in tooling are enabling researchers across career stages
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]
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# Acknowledgements
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.huge[This work was supported in part by the United States National Science Foundation under Cooperative Agreements [OAC-1836650](https://nsf.gov/awardsearch/showAward?AWD_ID=1836650) and <br>[PHY-2323298](https://nsf.gov/awardsearch/showAward?AWD_ID=2323298) (Institute for Research and Innovation in Software for High Energy Physics (IRIS-HEP)).]
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