The point
Students learn how to turn real optical and radio data into a defensible scientific result.
The arc
Weeks 1–3: learn on known datasets. Weeks 4–6: investigate a new dataset.
The output
Best case: paper contribution. Baseline: MACRO internal technical note + reproducible notebooks.
Daily rhythm
10–11
Concept
Short lecture. What are we trying to measure and why?
11–12
Guided work
Do the analysis together in Jupyter / DS9 / CARTA.
Next AM
Independent exercise
Submit a notebook, figure, table, or short writeup.
Tools
JupyterLab: NOIRLab or SciServer
Python: Astropy, Photutils, Astroquery, Matplotlib
DS9: FITS image inspection
CARTA / CASA: radio images and VLA data
GitHub: version control and notebooks
Targets: Be stars + MCV stars
Schedule
One-sentence version
Learn the tools on known optical + radio datasets, then use the same tools to make a real scientific argument about a new MACRO dataset.