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Setup |
Download files required for the lesson |
00:00 |
1. Introduction
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What is RECAST and why is it useful?
What is needed to fully automate and preserve the analysis workflow?
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00:10 |
2. Reinterpretation
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00:10 |
3. Using recast-atlas
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What kind of input does recast-atlas use?
What output can I expect from recast-atlas?
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00:30 |
4. Using recast-cli
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What kind of input does recast-cli use?
What output can I expect from recast-cli?
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01:10 |
5. Preservation
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01:10 |
6. Gitlab CI and Docker for Environment Preservation
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How does gitlab CI/CD help me continuously keep my containerized analysis environment(s) up-to-date?
What do I need to add to my gitlab repo(s) to enable this functionality?
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01:50 |
7. Introducing Workflows
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What is the ultimate physics goal in interpreting our analysis of the VHbb signal model?
What is the goal of RECAST in the context of interpreting our analysis?
How does yadage help us preserve our analysis workflow for re-interpretation?
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02:30 |
8. Intermezzo: Yadage Helloworld
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What is the syntax to define a basic yadage workflow?
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03:00 |
9. Skimming and Reformatting Steps for RECASTing the VHbb Analysis
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How do I use the yadage syntax I’ve learned to preserve the analysis steps needed to prepare my signal for interpretation?
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03:50 |
10. Scaling the MC Signal for (Re)interpretation
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How do I ensure that my MC histograms are scaled properly relative to one another, and to the data?
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04:30 |
11. Signal (Re)interpretation
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What is a μ-scan, and how do I interpret it?
How is the final interpretation step for the VHbb analysis encoded in yadage?
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04:50 |
Finish |
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The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.