Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Error when using ELLC in backend with GPs #900

Open
kmhambleton opened this issue Jun 13, 2024 · 0 comments
Open

Error when using ELLC in backend with GPs #900

kmhambleton opened this issue Jun 13, 2024 · 0 comments

Comments

@kmhambleton
Copy link
Contributor

PHOEBE Can't find gp_exclude_phases_enabled qualifier when using ELLC in backend with GPs

ValueError: 0 results found for twig: 'None', {'qualifier': 'gp_exclude_phases_enabled', 'dataset': 'lc01', 'check_visible': False, 'check_default': False, 'check_advanced': False, 'check_single': False}

"""
import phoebe
import numpy as np

def test_gps(verbose=False, plot=False):
# Make fake data
b = phoebe.default_binary()

b.add_dataset('lc', compute_times=phoebe.linspace(0,5.,501))

#Make a set of fast compute options
b.add_compute('ellc', compute='fast_compute')
b.set_value_all('ld_mode', value='manual')
b.set_value('irrad_method', compute='fast_compute', value='none')
b.set_value_all('distortion_method', compute='fast_compute', value='sphere')


b.run_compute(compute='fast_compute')

times = b.get_value(qualifier='times', context='model')
fluxes = b.get_value(qualifier='fluxes', context='model') + np.random.normal(size=times.shape) * 0.07 + 0.2*np.sin(times)
sigmas = np.ones_like(fluxes) * 0.05

#Upload the fake data to PHOEBE

b.add_dataset('lc', dataset='lc01', times=times, fluxes=fluxes, sigmas=sigmas, overwrite=True)
b.set_value_all('ld_mode', value='manual')

b.run_compute(model='withoutGPs', compute='fast_compute')

#Make a model with GPs
b.add_gaussian_process('celerite2', dataset='lc01', kernel='sho')
print (b['gp_exclude_phases_enabled'])
b['gp_exclude_phases_enabled'] = False
# Compute model in phase space
b.flip_constraint('compute_phases', solve_for='compute_times')
b.set_value('compute_phases', phoebe.linspace(0,1,101))

b.run_compute(model='withGPs', compute='fast_compute')
print ("with GPs")

if name == 'main':
logger = phoebe.logger(clevel='INFO')
test_gps(verbose=True, plot=True)
"""

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant