diff --git a/assets/style.css b/assets/style.css
index 56cc855..15b9d47 100644
--- a/assets/style.css
+++ b/assets/style.css
@@ -434,15 +434,28 @@ td {
display: inline-block;
}
+/* Hack to get middle logo on*/
+.middle-logo {
+ content: '';
+ background: url("../assets/logos/logo_IRIS-HEP.png") no-repeat;
+ background-size: 100% 100%;
+ width: 196px;
+ height: 108px;
+ position: absolute;
+ bottom: 1.3em;
+ left: 25em;
+ display: inline-block;
+}
+
+/* Even worse hack to get another logo on */
.title-slide:before {
content: '';
- /* background: url("https://iris-hep.org/assets/logos/pyhf-logo.png") no-repeat; */
background: url("../assets/logos/logo_ATLAS.png") no-repeat;
background-size: 100% 100%;
- width: 243px;
- height: 128px;
+ width: 242px;
+ height: 127px;
position: absolute;
- bottom: 0.8em;
+ bottom: 1.8em;
right: 3.3em;
display: inline-block;
}
diff --git a/figures/atlas-pipeline.png b/figures/atlas-pipeline.png
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diff --git a/figures/logos/nanobind.jpg b/figures/logos/nanobind.jpg
new file mode 100644
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diff --git a/figures/notebook-view.png b/figures/notebook-view.png
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diff --git a/figures/pyhep-tool-view.png b/figures/pyhep-tool-view.png
index 4196ed2..7fa0ff7 100644
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diff --git a/talk.md b/talk.md
index cd3766b..361115a 100644
--- a/talk.md
+++ b/talk.md
@@ -2,17 +2,18 @@ class: middle, center, title-slide
count: false
# Building a Columnar Analysis Demonstrator
for ATLAS PHYSLITE Open Data
using the Python Ecosystem
-.large.blue[Matthew Feickert]
-on behalf of ATLAS Computing Activity
+KyungEon Choi, .blue[Matthew Feickert], Nikolai Hartmann, Lukas Heinrich, Alexander Held, Evangelos Kourlitis,
+Nils Krumnack, Giordon Stark, Matthias Vigl, Gordon Watts on behalf of the .bold[ATLAS Computing Activity]
.large[(University of Wisconsin-Madison)]
[matthew.feickert@cern.ch](mailto:matthew.feickert@cern.ch)
-
[International Conference on Computing in High Energy and Nuclear Physics (CHEP) 2024](https://indico.cern.ch/event/1338689/contributions/6015915/)
-
+
October 21st, 2024
+.middle-logo[]
+
---
# Challenges for Future Analysis
@@ -26,7 +27,7 @@ October 21st, 2024
.caption[([ATLAS Software and Computing HL-LHC Roadmap](https://cds.cern.ch/record/2802918), 2022)]
.large[
* Won't be able to store everything on disk
-* Move towards "trade CPU for disk" model
+* Move towards "trade disk for CPU" model
]
]
.kol-1-2[
@@ -37,95 +38,11 @@ October 21st, 2024
.caption[(Jana Schaarschmidt, [CHEP 2023](https://indico.jlab.org/event/459/contributions/11586/))]
-.center.bold[PHYSLITE]
+[.center.bold[PHYSLITE]](https://atlas-physlite-content.web.cern.ch/)
* Common file format for .bold[Run 4 Analysis Model]
* Contains already-calibrated objects for fast analysis
* Monolithic: Intended to serve ~80% of physics analysis in Run 4
-* Can use directly without need for ntuples
-]
-
----
-# Columnar Analysis
-
-.center.large.bold[
-"columnar analysis" == "array programming for data analysis"
-]
-
-.kol-1-2[
-.large[
-* Higher level APIs for physicists and improved user experience
- - People using columnar analysis on ntuples already seem to be loving it
- - Enable the same UX but without ntupling (save disk)
-* Potential for higher performance
- - Enable on-the-fly combined performance (CP) tool corrections on PHYSLITE
-* Broader scientific data analysis ecosystem integration
- - Extend and scale ATLAS tools with large and performant ecosystem
-]
-]
-.kol-1-2[
-
-
-
- 
-
-
-
-.center.large[Different expressions/representations for same analysis result goals]
-.caption[(Nick Smith, [2019 Joint HSF/OSG/WLCG Workshop](https://indico.cern.ch/event/759388/contributions/3306852/))]
-]
-
----
-# An Analysis Grand Challenge
-
-.large.center[
-HL-LHC era data scale requires rethinking interacting with data during analysis
-]
-
-.kol-2-5[
-.large[
-* .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
-* Demonstrator of development of the required cyberinfrastructure
- - [The 200Gbps Challenge: Imagining HL-LHC analysis facilities](https://indico.cern.ch/event/1338689/contributions/6009824/) (Alexander Held, Monday plenary)
-* Opportunity for ATLAS to demonstrate columnar analysis views and areas for improvement
-]
-]
-.kol-3-5[
-
-
- 
-
-
-
-.center.large[[High level view of operations in an HL-LHC analysis](https://iris-hep.org/grand-challenges.html#analysis-grand-challenge)]
-]
-
----
-# Pythonic Analysis Ecosystem for HEP
-
-.kol-2-5[
-
-
- 
-
-
-
-.center.huge[Broader "Scientific Python" ecosystem is designed to be interoperable and support [multiple domain levels](https://www.nature.com/articles/s41586-020-2649-2)]
-]
-
-.kol-1-5[
-
- 
-
-]
-
-.kol-2-5[
-
-
- 
-
-
-
-.center.huge[Interoperable domain hierarchy design continued in ["PyHEP" ecosystem](https://indico.cern.ch/event/1140031/)]
+* Will be able to use directly without need for ntuples
]
---
@@ -133,8 +50,8 @@ HL-LHC era data scale requires rethinking interacting with data during analysis
.kol-1-3[
.large[
-Providing the elements of an analysis pipeline
-
+Providing the elements of a .bold[columnar analysis pipeline]
+
* Data query and access
* Reading data files (ROOT and others) and columnar access
* Data transformation and histogramming
@@ -153,30 +70,7 @@ Providing the elements of an analysis pipeline
]
---
-# Prototyping on US ATLAS Analysis Facilities
-
-.kol-1-3[
-.large[
-* [University of Chicago Analysis Facility](https://af.uchicago.edu/) .bold[provides testing bed] with [Coffea-casa](https://iris-hep.org/projects/coffea-casa.html)
-* Provides support for:
- - [.bold[JupyterLab]](https://jupyterlab.readthedocs.io/) as a common interface
- - Highly efficient data delivery with [.bold[XCache]](https://slateci.io/XCache/)
- - Conversion to columnar formats with [.bold[ServiceX]](https://iris-hep.org/projects/servicex.html)
-* Excellent integration exercise between analysis and operations
-]
-]
-.kol-2-3[
-
-
- 
-
-
-
-.center.large[Scalable platform for interactive (or noninteractive) analysis]
-]
-
----
-# Structure of an ATLAS AGC
+# Composing structure of an ATLAS AGC
.kol-1-5[
@@ -196,48 +90,17 @@ End user analysis ideally uses .bold[smaller and calibrated PHYSLITE]
]
----
-# ATLAS Open Data
-
-.kol-1-2[
-.large[
-* .bold[First] release of [ATLAS Run 2 2015 and 2016 open data](https://atlas.cern/Updates/News/Open-Data-Research) in July 2024
-* Using ATLAS open data for AGC
- - Open access data allows for use in testing community projects and problems
- - Released as PHYSLITE (HL-LHC data format)
- - Allows for new students to be able to learn analysis and make contributions quickly
-* More on ATLAS Open Data at CHEP 2024:
- - [The First Release of ATLAS Open Data for Research](https://indico.cern.ch/event/1338689/contributions/6013332/) (Zach Marshall, Monday plenary)
- - [Open Data at ATLAS: Bringing TeV collisions to the World](https://indico.cern.ch/event/1338689/contributions/6011129/) (Giovanni Guerrieri, Monday Track 8)
-]
-]
-.kol-1-2[
-
-
-
- 
-
-
-.center[([ATLAS News, 2024-07-01](https://atlas.cern/Updates/News/Open-Data-Research))]
-
-
-
- 
-
-
-]
-
---
# Challenges: Reading all PHYSLITE files
.kol-1-2[
.large[
-* Raw PHYSLITE is not easily loadable by columnar analysis tools outside of ROOT
-* Awkward Array supports [`behaviors`](https://awkward-array.org/doc/2.6/reference/ak.behavior.html), which allow efficiently reinterpreting data on the fly
- - e.g. correctly handling `ElementLinks`
-* ATLAS AMG members have contributed to open ecosystem development to support PHYSLITE in both Uproot and [Coffea](https://coffeateam.github.io/coffea/api/coffea.nanoevents.PHYSLITESchema.html#coffea.nanoevents.PHYSLITESchema)
+* Raw [PHYSLITE](https://atlas-physlite-content.web.cern.ch/) is not easily loadable by columnar analysis tools outside of ROOT
+ - Challenges for correctly handling `ElementLinks` and custom objects .smaller[(e.g. triggers)]
+* Awkward Array supports [`behaviors`](https://awkward-array.org/doc/2.6/reference/ak.behavior.html), which allow for efficiently reinterpreting data on the fly
+* ATLAS members have contributed to open ecosystem development to support PHYSLITE in both [Uproot](https://uproot.readthedocs.io/en/stable/) and [Coffea](https://coffeateam.github.io/coffea/api/coffea.nanoevents.PHYSLITESchema.html#coffea.nanoevents.PHYSLITESchema)
* Continuing to support fixes to both the PyHEP ecosystem tools as well as reporting issues to PHYSLITE
- - Includes work by [ATLAS IRIS-HEP Fellow Sam Kelson](https://indico.cern.ch/event/1449314/contributions/6101290/)
+ - Work by [ATLAS IRIS-HEP Fellow Sam Kelson](https://indico.cern.ch/event/1449314/contributions/6101290/)
]
]
.kol-1-2[
@@ -248,6 +111,10 @@ End user analysis ideally uses .bold[smaller and calibrated PHYSLITE]
+
+* More on ATLAS Open Data at CHEP 2024:
+ - [The First Release of ATLAS Open Data for Research](https://indico.cern.ch/event/1338689/contributions/6013332/)
(Zach Marshall, Monday plenary)
+ - [Open Data at ATLAS: Bringing TeV collisions to the World](https://indico.cern.ch/event/1338689/contributions/6011129/) (Giovanni Guerrieri, Monday Track 8)
]
---
@@ -257,8 +124,9 @@ End user analysis ideally uses .bold[smaller and calibrated PHYSLITE]
.large[
* As columnar analysis .bold[processes events in batches] also need 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: Can columnar on-the-fly computation be faster than disk?
-* Refactoring to columnar studies in ATLAS AMG show .bold[improvements in performance and flexibility]
+* Challenge: Can we adapt this model to work in on-the-fly computation columnar paradigm?
+ - Help with "trade disk for CPU" model
+* Refactoring tools to a columnar backend in ATLAS show .bold[improvements in performance and flexibility]
]
]
.kol-1-2[
@@ -269,7 +137,7 @@ End user analysis ideally uses .bold[smaller and calibrated PHYSLITE]
-.center[Columnar .cptools[CP tools] operate on .datacolumn[existing columns] in chunks to generate .newcolumn[new columns]
(Matthias Vigl, [ACAT 2024](https://indico.cern.ch/event/1330797/contributions/5796636/))]
+.center[Columnar .cptools[combined performance (CP) tools] operate on .datacolumn[existing columns] in batches to generate .newcolumn[new columns]
(Matthias Vigl, [ACAT 2024](https://indico.cern.ch/event/1330797/contributions/5796636/))]
]
---
@@ -283,9 +151,12 @@ End user analysis ideally uses .bold[smaller and calibrated PHYSLITE]
.kol-1-2[
.large[
-* Refactoring to columnar CP tools has allowed for Pythonic array interfaces to be developed
-* Using [next generation](https://nanobind.readthedocs.io/) of C++/Python binding libraries allows
- - [Zero-copy operations](https://nanobind.readthedocs.io/en/latest/ndarray.html) to/from n-dimensional array libraries in Python that supports GPUs
+* Refactoring to columnar CP tools has allowed for .bold[more Pythonic] array interfaces to be developed
+* Using [next generation](https://nanobind.readthedocs.io/) of C++/Python binding libraries
+
+ 
+ allows
+ - [Zero-copy operations](https://nanobind.readthedocs.io/en/latest/ndarray.html) to/from $n$-dimensional array libraries in Python that supports GPUs
- Full design control of high-level user API (unified UX)
]
]
@@ -301,7 +172,7 @@ End user analysis ideally uses .bold[smaller and calibrated PHYSLITE]
-.center[Columnar .cptools[CP tools] operate on .datacolumn[existing columns] in chunks to generate .newcolumn[new columns]
(Matthias Vigl, [ACAT 2024](https://indico.cern.ch/event/1330797/contributions/5796636/))]
+.center[Columnar .cptools[combined performance (CP) tools] operate on .datacolumn[existing columns] in batches to generate .newcolumn[new columns]
(Matthias Vigl, [ACAT 2024](https://indico.cern.ch/event/1330797/contributions/5796636/))]
]
---
@@ -309,21 +180,18 @@ End user analysis ideally uses .bold[smaller and calibrated PHYSLITE]
.kol-1-2[
.large[
-Using zero-copy Python bindings to Egamma CP tool [prototype](https://gitlab.cern.ch/gstark/pycolumnarprototype/-/blob/58024df21af7d4465109fb668900567a3d0048c1/Zee_demo.ipynb)
+Demo of [prototype](https://gitlab.cern.ch/gstark/pycolumnarprototype/-/blob/57ad135c84c4b874f057021f71afaf487cef6a13/Zee_demo.ipynb) (v1) zero-copy Python bindings to columnar Egamma CP tool to compute systematics on the fly for $m_{ee}$.
]
-```python
-from atlascp import EgammaTools
-```
-.large[
1. Use [Uproot](https://uproot.readthedocs.io/) to load PHYSLITE Monte Carlo into [Awkward](https://awkward-array.org/) arrays
-2. Apply selections
+2. Apply selections with Uproot and [Coffea](https://coffeateam.github.io/coffea/)
3. Initialize tools
-4. Compute systematics on the fly efficiently scaled with [dask-awkward](https://dask-awkward.readthedocs.io/)
+```python
+from atlascp import EgammaTools
+```
+4. Compute systematics on the fly efficiently scaled with [dask-awkward](https://dask-awkward.readthedocs.io/) on UChicago ATLAS Analysis Facility
-Ongoing integration work into ATLAS Athena
-]
]
.kol-1-2[
@@ -335,12 +203,88 @@ Ongoing integration work into ATLAS Athena
.caption[Selected $m_{ee}$ under on-the-fly computed systematic variations of electron reconstruction efficiency and corrections
(Matthias Vigl, [ACAT 2024](https://indico.cern.ch/event/1330797/contributions/5796636/))]
]
+---
+# Iteratively moving columnar tools forward
+
+.kol-2-3[
+.large[
+* [v1 prototype](https://gitlab.cern.ch/gstark/pycolumnarprototype/-/blob/57ad135c84c4b874f057021f71afaf487cef6a13/Zee_demo.ipynb) established foundations of what was possible with new tooling
+ - Pythonic interfaces to CP tools could be written without heroic levels of work
+ - Prototype tools were promising, but more work needed to achieve necessary performance
+ - No "zero action" option — needed to create standalone prototype to determine if work was reasonable
+* [v2 prototype](https://gitlab.cern.ch/atlas-asg/columnar-athena) takes a step forward in scope
+ - Moves developments into ATLAS Athena and .bold[migrate ATLAS CP tools to columnar backend] without breaking existing workflows
+ - Adds thread-safety
+ - Adds [infrastructure support](https://gitlab.cern.ch/atlas/atlasexternals/-/merge_requests/1149) for development of columnar analysis tools
+ - Allows for full scale integration and performance tests
+]
+]
+.kol-1-3[
+
+
+ 
+
+
+
+
+
+ 
+
+
+]
+
+---
+# Columnar CP tool backend performance tests
+
+.huge[
+* During (ongoing) refactor added preliminary integrated benchmark to measure .bold[time spent in tool per event] (not i/o) and compare to xAOD model
+* While direct comparison not possible, tests are as close as possible
+ - Only involves `C++` CP tool code (no Python involved)
+ - Uses same version of CP tool
+ - xAOD includes event store access
+* Show .bold[substantial speedups] for migrated tools: .bold[columnar is 2-4x faster] than xAOD interface
+ - Time for i/o and connecting columns not included in the performance comparisons (not optimized in the tests, so removed from benchmark)
+]
+
+
+
+---
+# Challenges: Tooling design decisions
+
+.large[
+* ATLAS CP tools were created 10-15 years ago to .bold[run in an analysis framework]
+ - Battle tested, extremely well understood, excellent physics performance, strong desire to be be maintained
+ - Rewrite cost is currently too high across collaboration to move to [`correctionlib`](https://cms-nanoaod.github.io/correctionlib/) paradigm
+ - Legacy code decisions highlight columnar prototype design decisions and opportunities during tool migration
+ - Columnar .bold[cracks open "black box"] implementations of tools for the new analysis model
+* Raises the question: "What would it take to get to .bold[`python -m pip install atlascp`]?"
+ - Ambitious idea not as far fetched as you might think: [`pip install ROOT`](https://indico.cern.ch/event/1338689/contributions/6010410/) (Vincenzo Padulano, Monday Track 6)
+* Columnar prototype explores these possibilities
+ - .bold[Adopting columnar backend] makes columnar paradigm possible
+ - .bold[Ongoing `nanobind` integration] bridges `C++`/Python with performance
+ - .bold[Pythonic API design] for high level analysis thinking
+* Steps beyond: Modularization to level that allows packaging with [`scikit-build-core`](https://scikit-build-core.readthedocs.io/)
+ - Allows for "just another" tool in the PyHEP ecosystem
+]
+
---
# ATLAS Open Data AGC Implementations
.kol-1-2[
.large[
-* Tooling ecosystem is proving approachable and performant
+* Tooling ecosystem is proving .bold[approachable and performant] for Pythonic columnar analysis of PHYSLITE
* Enabling mentored university students to implement versions of the AGC by themselves in a Jupyter notebook
* ATLAS IRIS-HEP Fellow Denys Klekots's [AGC project using .bold[ATLAS open data]](https://indico.cern.ch/event/1455396/contributions/6126406/) ([implementation on GitHub](https://github.com/iris-hep/agc-physlite))
* Simplified version of [IRIS-HEP AGC top reconstruction challenge](https://agc.readthedocs.io/) using 2025+2016 Run 2 Monte Carlo from the 2024 .bold[ATLAS open data] release
@@ -368,11 +312,11 @@ Ongoing integration work into ATLAS Athena
# Summary of ATLAS Columnar AGC Efforts
.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 CP tools showing performance increases
-* ATLAS Open Data proving to be useful for research and community communication
-* Technical advancements from AMG research are being incorporated into ATLAS wide tooling
+* Columnar analysis tool efforts inside of ATLAS have been promising with CP tools showing performance increases and bespoke UI
+* Development of a columnar ATLAS AGC demonstrator with full systematics is ongoing supported by advancements in v2 prototype
+* Technical advancements are being incorporated into ATLAS wide tooling
* Contributions upstream to PyHEP community tools
+* ATLAS Open Data proving to be useful for research and community communication
* Advancements in tooling are enabling researchers across career stages
]
@@ -392,11 +336,151 @@ class: end-slide, center
.huge[Backup]
+---
+# Columnar Analysis
+
+.center.large.bold[
+"columnar analysis" == "array programming for data analysis"
+]
+
+.kol-1-2[
+.large[
+* Higher level APIs for physicists and improved user experience
+ - People using columnar analysis on ntuples already seem to be loving it
+ - Enable the same UX but without ntupling (save disk)
+* Potential for higher performance
+ - Enable on-the-fly combined performance (CP) tool corrections on PHYSLITE
+* Broader scientific data analysis ecosystem integration
+ - Extend and scale ATLAS tools with large and performant ecosystem
+]
+]
+.kol-1-2[
+
+
+
+
+
+
+
+.center.large[Different expressions/representations for same analysis result goals]
+.caption[(Nick Smith, [2019 Joint HSF/OSG/WLCG Workshop](https://indico.cern.ch/event/759388/contributions/3306852/))]
+]
+
+---
+# An Analysis Grand Challenge
+
+.large.center[
+HL-LHC era data scale requires rethinking interacting with data during analysis
+]
+
+.kol-2-5[
+.large[
+* .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
+* Demonstrator of development of the required cyberinfrastructure
+ - [The 200Gbps Challenge: Imagining HL-LHC analysis facilities](https://indico.cern.ch/event/1338689/contributions/6009824/) (Alexander Held, Monday plenary)
+* Opportunity for ATLAS to demonstrate columnar analysis views and areas for improvement
+]
+]
+.kol-3-5[
+
+
+
+
+
+
+.center.large[[High level view of operations in an HL-LHC analysis](https://iris-hep.org/grand-challenges.html#analysis-grand-challenge)]
+]
+
+---
+# Pythonic Analysis Ecosystem for HEP
+
+.kol-2-5[
+
+
+
+
+
+
+.center.huge[Broader "Scientific Python" ecosystem is designed to be interoperable and support [multiple domain levels](https://www.nature.com/articles/s41586-020-2649-2)]
+]
+
+.kol-1-5[
+
+
+
+]
+
+.kol-2-5[
+
+
+
+
+
+
+.center.huge[Interoperable domain hierarchy design continued in ["PyHEP" ecosystem](https://indico.cern.ch/event/1140031/)]
+]
+
+---
+# Prototyping on US ATLAS Analysis Facilities
+
+.kol-1-3[
+.large[
+* [University of Chicago Analysis Facility](https://af.uchicago.edu/) .bold[provides testing bed] for analysis platform
+* Provides support for:
+ - [.bold[JupyterLab]](https://jupyterlab.readthedocs.io/) as a common interface
+ - Highly efficient data delivery with [.bold[XCache]](https://slateci.io/XCache/)
+ - Conversion to columnar formats with [.bold[ServiceX]](https://iris-hep.org/projects/servicex.html)
+* Excellent integration exercise between analysis and operations
+]
+]
+.kol-2-3[
+
+
+
+
+
+
+.center.large[Scalable platform for interactive (or noninteractive) analysis]
+]
+
+---
+# ATLAS Open Data
+
+.kol-1-2[
+.large[
+* .bold[First] release of [ATLAS Run 2 2015 and 2016 open data](https://atlas.cern/Updates/News/Open-Data-Research) in July 2024
+* Using ATLAS open data for AGC
+ - Open access data allows for use in testing community projects and problems
+ - Released as PHYSLITE (HL-LHC data format)
+ - Allows for new students to be able to learn analysis and make contributions quickly
+* More on ATLAS Open Data at CHEP 2024:
+ - [The First Release of ATLAS Open Data for Research](https://indico.cern.ch/event/1338689/contributions/6013332/) (Zach Marshall, Monday plenary)
+ - [Open Data at ATLAS: Bringing TeV collisions to the World](https://indico.cern.ch/event/1338689/contributions/6011129/) (Giovanni Guerrieri, Monday Track 8)
+]
+]
+.kol-1-2[
+
+
+
+
+
+
+.center[([ATLAS News, 2024-07-01](https://atlas.cern/Updates/News/Open-Data-Research))]
+
+
+
+
+
+
+]
+
---
# References
* [ATLAS Software and Computing HL-LHC Roadmap](https://cds.cern.ch/record/2802918), ATLAS Collaboration, 2022
+* [ATLAS PHYSLITE Content Documentation](https://atlas-physlite-content.web.cern.ch/), ATLAS Collaboration, Accessed 2024
* [Using Legacy ATLAS C++ Calibration Tools in Modern Columnar Analysis Environments](https://indico.cern.ch/event/1330797/contributions/5796636/), Matthias Vigl, [ACAT 2024](https://indico.cern.ch/event/1330797/)
* [How the Scientific Python ecosystem helps answering fundamental questions of the Universe](https://cfp.scipy.org/2024/talk/KCXVVR/), Vangelis Kourlitis, Matthew Feickert, and Gordon Watts, [SciPy 2024](https://www.scipy2024.scipy.org/)
* [The Columnar Analysis Grand Challenge Demonstrator](https://indico.cern.ch/event/1268248/contributions/5326293/), Gordon Watts, [ATLAS S&C Plenary Afternoon: Demonstrators](https://indico.cern.ch/event/1268248/), 2023-10-04 [ATLAS Internal]
* [ATLAS AGC Demonstrator](https://indico.cern.ch/event/1328739/contributions/5605607/), Gordon Watts, [ATLAS AMG+ADC Joint Session](https://indico.cern.ch/event/1328739/), 2023-03-30 [ATLAS Internal]
+* [Tour of the CP Columnar Prototype and CP Algorithm Conversion](https://indico.cern.ch/event/1463263/contributions/6161076/), Nils Krumnack, 2024-10-07 [ATLAS Internal]