NOTE: PHOEBE 1.0 legacy is an alternate backend and is not installed with PHOEBE 2. In order to run this backend, you'll need to have PHOEBE 1.0 installed and manually install the python wrappers in the phoebe-py directory.
Let's first make sure we have the latest version of PHOEBE 2.1 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>=2.1,<2.2"
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
import numpy as np
import matplotlib.pyplot as plt
logger = phoebe.logger()
b = phoebe.default_binary(contact_binary=True)
b['q'] = 0.7
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b.add_dataset('lc', times=np.linspace(0,1,101), dataset='lc01')
b.add_dataset('rv', times=np.linspace(0,1,101), dataset='rv01')
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Now we add compute options for the 'legacy' backend.
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b.add_compute('legacy')
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Let's use the external atmospheres available for both phoebe1 and phoebe2
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b.set_value_all('atm', 'extern_planckint')
Set value of gridsize for the trapezoidal (WD) mesh.
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b.set_value_all('gridsize', 30)
Let's also disable other special effect such as heating, gravity, and light-time effects.
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b.set_value_all('ld_func', 'logarithmic')
b.set_value_all('ld_coeffs', [0.0, 0.0])
b.set_value_all('rv_grav', False)
b.set_value_all('ltte', False)
Finally, let's compute our models
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b.run_compute(kind='phoebe', model='phoebe2model', irrad_method='none')
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b.run_compute(kind='legacy', model='phoebe1model', irrad_method='none')
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afig, mplfig = b.filter(dataset='lc01').plot(c={'phoebe2model': 'g', 'phoebe1model': 'r'}, linestyle='solid',
legend=True, show=True)
Now let's plot the residuals between these two models
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artist, = plt.plot(b.get_value('fluxes@lc01@phoebe2model') - b.get_value('fluxes@lc01@phoebe1model'), 'g-')
artist = plt.axhline(0.0, linestyle='dashed', color='k')
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afig, mplfig = b['rv01'].plot(c={'phoebe2model': 'g', 'phoebe1model': 'r'}, linestyle='solid',
legend=True, show=True)
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artist, = plt.plot(b.get_value('rvs@primary@phoebe2model', ) - b.get_value('rvs@primary@phoebe1model'), color='g', ls=':')
artist, = plt.plot(b.get_value('rvs@secondary@phoebe2model') - b.get_value('rvs@secondary@phoebe1model'), color='g', ls='-.')
artist = plt.axhline(0.0, linestyle='dashed', color='k')
ylim = plt.ylim(-0.3, 0.3)
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