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توضیحات

Calculate astrophysical false positive probabilities for transiting exoplanet signals

ویژگی	مقدار
سیستم عامل	OS Independent
نام فایل	VESPA-0.6
نام	VESPA
نسخه کتابخانه	0.6
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Timothy D. Morton
ایمیل نویسنده	tim.morton@gmail.com
آدرس صفحه اصلی	https://github.com/timothydmorton/VESPA
آدرس اینترنتی	https://pypi.org/project/VESPA/
مجوز	-

VESPA ====== .. image:: https://travis-ci.com/timothydmorton/VESPA.svg?branch=master :target: https://travis-ci.com/timothydmorton/VESPA Validation of Exoplanet Signals using a Probabilistic Algorithm--- calculating false positive probabilities for transit signals For usage and more info, `check out the documentation <http://vespa.rtfd.org>`_. Installation ------------ To install, you can get the most recently released version from PyPI:: pip install vespa [--user] Or you can clone the repository:: git clone https://github.com/timothydmorton/vespa.git cd vespa python setup.py install [--user] The ``--user`` argument may be necessary if you don't have root privileges. Depends on typical scientific packages (e.g. `numpy`, `scipy`, `pandas`), as well as `isochrones <http://github.com/timothydmorton/isochrones>`_, and (in several corners of the code), another package of mine called `simpledist <http://github.com/timothydmorton/simpledist>`_. All dependencies *should* get resolved upon install, though this has only been tested under the anaconda Python distribution, which has all the scientific stuff already well-organized. For best results, it is also recommended to have ``MultiNest`` and ``pymultinest`` installed. Without this, ``emcee`` will be used for stellar modeling, but the ``MulitNest`` results are a bit more trustworthy given the often multi-modal nature of stellar model fitting. Basic Usage ----------- The simplest way to run an FPP calculation straight out of the box is as follows. 1. Make a text file containing the transit photometry in three columns: ``t_from_midtransit`` [days], ``flux`` [relative, where out-of-transit is normalized to unity], and ``flux_err``. The file should not have a header row (no titles); and can be either whitespace or comma-delimited (will be ingested by ``np.loadtxt``). 2. Make a ``star.ini`` file that contains the observed properties of the target star (photometric and/or spectroscopic, whatever is available):: #provide spectroscopic properties if available #Teff = 3503, 80 #value, uncertainty #feh = 0.09, 0.09 #logg = 4.89, 0.1 #observed magnitudes of target star # If uncertainty provided, will be used to fit StarModel J = 9.763, 0.03 H = 9.135, 0.03 K = 8.899, 0.02 Kepler = 12.473 3. Make a ``fpp.ini`` file containing the following information:: name = k2oi #anything ra = 11:30:14.510 #can be decimal form too dec = +07:35:18.21 period = 32.988 #days rprs = 0.0534 #Rp/Rstar best estimate photfile = lc_k2oi.csv #contains transit photometry [constraints] maxrad = 12 # aperture radius [arcsec] secthresh = 1e-4 # Maximum allowed depth of potential secondary eclipse 4. Run the following from the command line (from within the same folder that has ``star.ini`` and ``fpp.ini``):: $ calcfpp Or, if you put the files in a folder called ``mycandidate``, then you can run ``calcfpp mycandidate``:: This will run the calculation for you, creating result files, diagnostic plots, etc. It should take 20-30 minutes. If you want to do a shorter version to test, you can try ``calcfpp -n 1000`` (the default is 20000). The first time you run it though, about half the time is doing the stellar modeling, so it will still take a few minutes. Attribution ----------- If you use this code, please cite both the paper and the code. Paper citation:: @ARTICLE{2012ApJ...761....6M, author = {{Morton}, T.~D.}, title = "{An Efficient Automated Validation Procedure for Exoplanet Transit Candidates}", journal = {\apj}, archivePrefix = "arXiv", eprint = {1206.1568}, primaryClass = "astro-ph.EP", keywords = {planetary systems, stars: statistics }, year = 2012, month = dec, volume = 761, eid = {6}, pages = {6}, doi = {10.1088/0004-637X/761/1/6}, adsurl = {http://adsabs.harvard.edu/abs/2012ApJ...761....6M}, adsnote = {Provided by the SAO/NASA Astrophysics Data System} } code:: @MISC{2015ascl.soft03011M, author = {{Morton}, T.~D.}, title = "{VESPA: False positive probabilities calculator}", howpublished = {Astrophysics Source Code Library}, year = 2015, month = mar, archivePrefix = "ascl", eprint = {1503.011}, adsurl = {http://adsabs.harvard.edu/abs/2015ascl.soft03011M}, adsnote = {Provided by the SAO/NASA Astrophysics Data System} }

نحوه نصب

نصب پکیج whl VESPA-0.6:

pip install VESPA-0.6.whl

نصب پکیج tar.gz VESPA-0.6:

pip install VESPA-0.6.tar.gz