Minimal Contact Binary System

Setup

Let's first make sure we have the latest version of PHOEBE 2.2 installed. (You can comment out this line if you don't use pip for your installation or don't want to update to the latest release).



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!pip install -I "phoebe>=2.2,<2.3"

As always, let's do imports and initialize a logger and a new bundle. See Building a System for more details.



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%matplotlib inline



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import phoebe
from phoebe import u # units
import numpy as np
import matplotlib.pyplot as plt

logger = phoebe.logger()

Here we'll initialize a default binary, but ask for it to be created as a contact system.

For more details see the contact binary hierarchy tutorial.



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b = phoebe.default_binary(contact_binary=True)

Adding Datasets



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b.add_dataset('mesh', compute_times=[0], dataset='mesh01')









    Out[4]:





<ParameterSet: 8 parameters | contexts: dataset, constraint, compute>



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b.add_dataset('orb', compute_times=np.linspace(0,1,201), dataset='orb01')









    Out[5]:





<ParameterSet: 8 parameters | contexts: dataset, constraint, figure, compute>



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b.add_dataset('lc', times=np.linspace(0,1,21), dataset='lc01')









    Out[6]:





<ParameterSet: 43 parameters | contexts: dataset, constraint, figure, compute>



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b.add_dataset('rv', times=np.linspace(0,1,21), dataset='rv01')









    Out[7]:





<ParameterSet: 39 parameters | contexts: dataset, constraint, figure, compute>

Running Compute



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b.run_compute(irrad_method='none')









    Out[8]:





<ParameterSet: 32 parameters | contexts: model, figure>

Synthetics

To ensure compatibility with computing synthetics in detached and semi-detached systems in Phoebe, the synthetic meshes for our overcontact system are attached to each component separetely, instead of the contact envelope.



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print(b['mesh01@model'].components)









    



['primary', 'secondary']

Plotting

Meshes



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afig, mplfig = b['mesh01@model'].plot(x='ws', show=True)

Orbits



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afig, mplfig = b['orb01@model'].plot(x='ws',show=True)

Light Curves



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afig, mplfig = b['lc01@model'].plot(show=True)

RVs



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afig, mplfig = b['rv01@model'].plot(show=True)