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Add cp tools to systematics slide
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matthewfeickert committed Sep 28, 2024
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12 changes: 12 additions & 0 deletions assets/style.css
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Expand Up @@ -62,6 +62,18 @@ body {
color: #9c2cfc;
}

.cptools {
color: #929292;
}

.datacolumn {
color: #0076ba;
}

.newcolumn {
color: #00ab8e;
}

.italic {
font-style: italic;
}
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Binary file added figures/cp_tools_columnar.png
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31 changes: 23 additions & 8 deletions talk.md
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Expand Up @@ -252,6 +252,28 @@ Providing the elements of an analysis pipeline
</p>
]

---
# Challenges: Systematics

.kol-1-2[
.large[
* As columnar analysis .bold[processes events in batches] also need combined performance (CP) tools and algorithms to process in batches
* Current CP tools operate on xAOD event data model (EDM) for calculation and write systematics to disk for future access (I/O heavy)
* Challenge: Columnar on-the-fly computation be faster than disk
* Refactoring to columnar studies in ATLAS AMG show .bold[improvements in performance and flexibility]
]
]
.kol-1-2[
<br>
<p style="text-align:center;">
<a href="https://indico.cern.ch/event/1330797/contributions/5796636/">
<img src="figures/cp_tools_columnar.png" style="width:100%">
</a>
</p>

.center[Columnar .cptools[CP tools] operate on .datacolumn[existing columns] in chunks to generate .newcolumn[new columns]<br>(Matthias Vigl, [ACAT 2024](https://indico.cern.ch/event/1330797/contributions/5796636/))]
]

---
# Implementations

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.huge[
* Development of a columnar ATLAS AGC implementation with full systematics is still ongoing
* Columnar analysis tool efforts inside of ATLAS have been promising with combined performance algorithms showing performance increases
* Columnar analysis tool efforts inside of ATLAS have been promising with CP tools showing performance increases
* Technical advancements from AMG research are being incorporated into ATLAS wide tooling
* Contributions upstream to PyHEP community tools
* Advancements in tooling are enabling researchers
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- Factor of .bold[20-25] times the amount of collisions delivered from Run-2 of the LHC
* Boon for measurements constrained by statistical uncertainties, searches for rare processes
]

---

class: end-slide, center
count: false

The end.

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