princetonuniversity / ast541-fall2020 Goto Github PK

Hi visualizers, (@MilesCranmer , @erinflow, @gonihalevi , @alisagk, @haykh, and also Yan, Vassilis, and Wenrui)

I think one important thing to think through will be what figure concepts we want to see realized, what we want the level of interactivity with the figures to be, etc. This has "downstream" implications for what kinds of data collection will be necessary.

One suggested figure concept, to get the ball rolling:

Survey instruments across the electromagnetic spectrum. Conceptually, similar to the following (pictorially, presumably adopting a different approach to avoid clutter).

A minimal implication is that we'll need to know roughly where in the spectrum any given instrument lies (e.g., Radio, optical, etc.) More specific bandpass definitions could be used, but are not strictly necessary. If we opt to use them, the SVO filter profile service might be the easiest path, since they've already homogenized the most relevant bandpasses: http://svo2.cab.inta-csic.es/theory/fps/

The overleaf is a great start for thinking through what we'll be synthesizing.

We should probably couple it to a spreadsheet, say through google docs.

Relevant columns might include:

• Some descriptors of the survey's depth, breadth, etc. Maybe its primary science topic.
• A link that describes the survey.
• A link to the archived data from the survey.

A spreadsheet that we can include this data in is here
https://docs.google.com/spreadsheets/d/1ktZPlRbmtzVrWRXBQJKU5Jm_hg0foA5TtY5Sd_DdcBI/edit?usp=sharing