{ "info": { "author": "Waqas Bhatti", "author_email": "wbhatti@astro.princeton.edu", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python" ], "description": "This is a module that wraps Geza Kovacs' eebls.f. Taken from Daniel\nForeman-Mackey's python-bls_ module, and broken out for easier use by other\npackages. This is used by the astrobase_ module.\n\n\neebls.f\n=======\n\n- Kovacs, Zucker & Mazeh 2002, A&A, Vol. 391, 369\n- http://arxiv.org/abs/astro-ph/0206099\n- http://www.konkoly.hu/staff/kovacs/eebls.f\n\n\npython-bls\n==========\n\n- Foreman-Mackey, D., Angus, R., et al. 2012\n- https://github.com/dfm/python-bls.git\n\n\npyeebls\n=======\n\n- Bhatti, W., et al. 2017\n- https://github.com/waqasbhatti/pyeebls\n\n\nInstallation\n------------\n\nThis package is available from PyPI: https://pypi.python.org/pypi/pyeebls\n\nYou'll need numpy installed, along with a Fortran compiler: ::\n\n (venv)$ pip install numpy # in a virtualenv\n # or use dnf/yum/apt install numpy to install systemwide\n\n ## you'll need a Fortran compiler to install pyeebls! ##\n ## on Linux: dnf/yum/apt install gcc gcc-gfortran ##\n ## on OSX (using homebrew): brew install gcc && brew link gcc ##\n\nThen, install pyeebls using pip (preferably in a virtualenv or use the --user\nflag): ::\n\n (venv)$ pip install pyeebls\n\nOr download the tarball from PyPI, extract the files, and run setup.py: ::\n\n (venv)$ python setup.py install\n\n\nDocumentation\n-------------\n\nThere's only one function to use in this module. ::\n\n def pyeebls.eebls(times, mags, workarr_u, workarr_v,\n nfreq, freqmin, stepsize,\n nbins, minduration, maxduration):\n\nCalculates the BLS spectrum for the input times and mags arrays.\n\n**Parameters**\n\n``times`` : *ndarray*\n A numpy array containing the times of the measurements.\n\n``mags`` : *ndarray*\n A numpy array containing the mags or fluxes to use as measurements.\n\n``workarr_u``, ``workarr_v`` : *ndarray*\n Numpy arrays that must be the same size as times, used as temp\n workspaces by the Fortran function.\n\n``nfreq`` : *int*\n The number of frequencies to search for the best period.\n\n``freqmin`` : *float*\n The minimum frequency to use.\n\n``stepsize`` : *float*\n The stepsize in frequency units to use while searching.\n\n``nbins`` : *int*\n The number of bins to use when phasing up the light curve at a\n single test period.\n\n``minduration`` : *float*\n The minimum transit duration in phase units to consider when testing for\n a transit.\n\n``maxduration`` : *float*\n The minimum transit duration in phase units to consider when testing for\n a transit.\n\n\n**Returns**\n\nA sequence of results: ::\n\n (power, bestperiod, bestpower, transdepth,\n transduration, transingressbin, transegressbin)\n\n``power`` : *ndarray*\n A numpy array containing the values of the BLS spectrum at each tested\n frequency.\n\n``bestperiod`` : *float*\n The period at the highest peak in the frequency spectrum.\n\n``bestpower`` : *float*\n The power at the highest peak in the frequency spectrum.\n\n``transdepth`` : *float*\n The depth of the transit at the best period.\n\n``transduration`` : *float*\n The length of the transit as a fraction of the phase. 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