Light Curve Filters

[pan1c22]

When making the datasets for light curves, how do I make each dataset a different filter such as the B, V, and TESS:T filters and then plot all 3 on the same graph or separate graphs?

[aprsa]

You need to add a dataset for each, i.e.:

import phoebe
b = phoebe.default_binary()
b['teff@secondary'] = 5000
b.add_dataset('lc', dataset='lcB', passband='Johnson:B', times=phoebe.linspace(0, 1, 51))
b.add_dataset('lc', dataset='lcV', passband='Johnson:V', times=phoebe.linspace(0, 1, 51))
b.add_dataset('lc', dataset='lcR', passband='Johnson:R', times=phoebe.linspace(0, 1, 51))
b.run_compute()
b.plot(show=True)

[pan1c22]

Thanks! I knew I needed to make 3 different datasets but I didn't know what "description" to put in the dataset to specify which band I wanted.

[pan1c22]

Also in your example, you have the BVR filters so for my TESS:T filter do I just put that in the same spot, or is there some other notation for it?

[gecheline]

It's the same, just replace 'Johnson:x' with 'TESS:T'

[gecheline]

I'll just add, if you want to see which light curve corresponds to each dataset in the same plot, you need to add a legend to the plot:

b.plot(legend=True, show=True)

and if you want to plot each one separately, you should filter on the corresponding dataset first:

b.filter(dataset='lcB').plot(show=True)

[pan1c22]

That's really helpful thanks!