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Copy file name to clipboardexpand all lines: talk.md
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# Self Notes
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* Time: 18 minute talk
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- 15 minutes talk
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-.bold[15 minutes talk]
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- 3 minutes questions
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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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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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---
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# An Analysis Grand Challenge
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# Challenges for Future Analysis
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HL-LHC era data scale requires rethinking how we engage with the data when we preform analysis
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* Moving forward won’t be able to store everything on disk
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* PHYSLITE
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- Common file format for 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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]
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* .bold[Analysis Grand Challenge] (AGC) community exercise organized by [IRIS-HEP](https://iris-hep.org/) includes the stages of a projected typical HL-LHC analysis
* Development of the required cyberinfrastructure [fix]
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* Opportunity for ATLAS to demonstrate how a columnar analysis view and areas for improvement
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- Accessing PHYSLITE, systematics
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]
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---
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# ATLAS Open Data
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# An Analysis Grand Challenge
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* Release of [ATLAS Run 2 2015 and 2016 open data](https://atlas.cern/Updates/News/Open-Data-Research) in July 2024
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* Benefits of using ATLAS open data
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- Sharing the data freely with open access allows for use in testing community projects and problems
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- Allows for students to be able to participate in analysis and make an impact while still inexperienced.
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HL-LHC era data scale requires rethinking how we engage with the data when we preform analysis
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* .bold[Analysis Grand Challenge] (AGC) community exercise organized by [IRIS-HEP](https://iris-hep.org/) includes the stages of a projected typical HL-LHC analysis
* Development of the required cyberinfrastructure [fix]
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* Opportunity for ATLAS to demonstrate how a columnar analysis view and areas for improvement
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- Accessing PHYSLITE, systematics
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]
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.caption[[High level view of operations in an HL-LHC analysis](https://iris-hep.org/grand-challenges.html#analysis-grand-challenge)]
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.center.large[Components of an ATLAS AGC demonstrator pipeline]
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</p>
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---
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# ATLAS Open Data
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* .bold[First] release of [ATLAS Run 2 2015 and 2016 open data](https://atlas.cern/Updates/News/Open-Data-Research) in July 2024
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* Using ATLAS open data for AGC
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- Open access data allows for use in testing community projects and problems
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- Released as PHYSLITE (HL-LHC data format)
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- Allows for new students to be able to learn analysis and make contributions quickly
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* More on ATLAS Open Data at CHEP 2024:
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-[The First Release of ATLAS Open Data for Research](https://indico.cern.ch/event/1338689/contributions/6013332/) (Zach Marshall, Monday plenary)
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-[Open Data at ATLAS: Bringing TeV collisions to the World](https://indico.cern.ch/event/1338689/contributions/6011129/) (Giovanni Guerrieri, Monday Track 8)
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