LSSTScienceCollaborations / StackClub

Learning the LSST software Stack, by writing jupyter notebook tutorials.
https://stackclub.readthedocs.io/
MIT License
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Project: Aperture Photometry from the Stack #154

Open DouglasLeeTucker opened 6 years ago

DouglasLeeTucker commented 6 years ago

This is a project to create a notebook to explore how aperture photometry works in the data processing stack. Suggested to me by @bechtol , some questions to be explored are:

The Bosch et al. (2017) HSC paper was suggested as a possible starting point.

At today's (2018-11-02) StackClub session, it was noted that @jeffcarlin might also be working on this, and I should contact him. (@jeffcarlin , let me know if that's the case and what you might want me to focus on! Thanks!)

Data sets to consider include Twinkles and on-sky data (e.g., HSC vs. Gaia), with some preference for on-sky data, at least at first. At today's (2018-11-02) StackClub session, it was suggested that there might already be some notebooks in the Commissioning Team repo that might address this or at least be a good starting point. It was suggested that @jeffcarlin would be a good person to ask (@jeffcarlin : Any suggestions? Thanks!)

jeffcarlin commented 6 years ago

Hi @DouglasLeeTucker - I think that your plan sounds fantastic, and that it has little overlap with my project. It's true that I'm planning to explore the photometric performance, but more from a science perspective of trying to see how well the Stack does at detecting and recovering properties of known dwarf galaxies.

I fleshed out some of the commissioning notebooks to be used as demo notebooks by the LSST SQuaRE team -- they're at https://github.com/lsst-sqre/notebook-demo/tree/u/jcarlin/DM-15123 (note that they're on a ticket branch, not master). In particular, the HSC-COSMOS comparison may be helpful to you. If I think of others, I'll let you know.

DouglasLeeTucker commented 6 years ago

Thanks, @jeffcarlin ! Much appreciated! I am starting to look at your demo notebooks for the LSST SQuaRE team. Thanks!