| Monday | Tuesday | Wednesday | Thursday | Friday | |
|---|---|---|---|---|---|
| 09:00 - 10:00 | Setup | astropy | LST analysis - intro | Standard MC processing | Special analyses: Src dependent |
| 10:00 - 11:00 | Setup | CTA software and dependencies | lstchain - LST Data | Standard MC processing | Special analyses: Src dependent |
| 11:00 - 12:00 | LST Analysis call | ctapipe - Presentation | LST calibration | Real data analysis | Other analyses |
| 12:00 - 13:00 | LST Analysis call | ctapipe - notebooks | LST calibration | Real data analysis | Git Contributions |
| 13:00 - 14:00 | Lunch | Lunch | Lunch | Lunch | Lunch |
| 14:00 - 15:00 | Lunch | Exercises | Exercises | Exercises | Exercises |
| 15:00 - 16:00 | Scientific Python | Exercises | Exercises | Exercises | Exercises |
| 16:00 - 17:00 | Scientific Python | Exercises | Exercises | Exercises | Exercises |
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Monday:
- 09:00 - 11:00 - Setup: in case some people still need some help with their software setup before starting the lessons.
- 11:00 - 13:00 - LST Analysis call: As part of the lessons we will join the bi-weekly LST analysis calls.
- 15:00 - 17:00 - Introduction to Scientific Python: with quick notebooks on python, numpy, matplotlib, scipy.
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Tuesday:
- 09:00 - 10:00 - Introduction to astropy useful tools such as units, coordinates and skymaps.
- 10:00 - 11:00 - CTA software fauna: Description of low level simulation and different existing pipelines.
- 11:00 - 13:00 - Introduction to ctapipe the prototipe CTA pipeline framework.
- 14:00 - 17:00 - Exercises for data processing using ctapipe.
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Wednesday:
- 09:00 - 11:00 - Introduction to lstchain, the pipeline software of the LST.
- 11:00 - 13:00 - Detailed description of LST Data calibration and low level processing.
- 14:00 - 17:00 - Exercises.
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Thursday:
- 09:00 - 11:00 - Standard data processing: MC DL0 -> DL2 using source-independent analysis.
- 11:00 - 13:00 - Standard data processing: Real data from the Crab Nebula R0 -> DL2 using source-independent analysis.
- 14:00 - 17:00 - Exercises.
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Friday:
- 09:00 - 11:00 - Special analysis for single-telescope data: the source-dependent analysis.
- 11:00 - 13:00 - How to contribute to LST data analysis. Practical lesson on git philosophy and contribution.
- 14:00 - 17:00 - Exercises.