PlanetPack software tool for exoplanets detection: coming new features
aa r X i v : . [ a s t r o - ph . I M ] O c t Complex Planetary SystemsProceedings IAU Symposium No. 310, 2014Z. Knezevic & A. Lemaˆıtre c (cid:13) PlanetPack software tool for exoplanetsdetection: coming new features
Roman V. Baluev , Central Astronomical Observatory at Pulkovo of Russian Academy of Sciences, Pulkovskojeshosse 65, St Petersburg 196140, Russia Sobolev Astronomical Institute, St Petersburg State University, Universitetskij prospekt 28,Petrodvorets, St Petersburg 198504, Russiaemail: [email protected]
Abstract.
We briefly overview the new features of PlanetPack2, the forthcoming update ofPlanetPack, which is a software tool for exoplanets detection and characterization from Dopplerradial velocity data. Among other things, this major update brings parallelized computing, newadvanced models of the Doppler noise, handling of the so-called Keplerian periodogram, androutines for transits fitting and transit timing variation analysis.
Keywords. stars: planetary systems - methods: data analysis - methods: statistical
1. Introduction
PlanetPack is a software tool that facilitates the detection and characterization ofexoplanets from the radial velocity (RV) data, as well as basic tasks of long-term dy-namical simulations in exoplanetary systems. The detailed description of the numericalgorithms implemented in PlanetPack is given in the paper (Baluev 2013), comingwith its initial 1.0 release. After that several updates of the package were released, of-fering a lot of bug fixes, minor improvements, as well as moderate expansions of thefunctionality. As of this writing, the current downloadable version of PlanetPack is1.8.1. The current source code, as well as the technical manual, can be downloadedat http://sourceforge.net/projects/planetpack .Here we pre-announce the first major update of the package, PlanetPack 2.0, whichshould be released in the near future. In addition to numerous bug fixes, this updateincludes a reorganization of the large parts of its architecture, and several new majoralgorithms. Now we briefly describe the main changes.
2. PlanetPack2: transits fitting and other new features
The following new features of the PlanetPack 2.0 release deserve noticing:( a ) Multithreading and parallelized computing, increasing the performance of somecomputationally heavy algorithms. This was achieved by migrating to the new ANSIstandard of the C++ language, C++11.( b ) Several new models of the Doppler noise can be selected by the user, includinge.g. the regularized model from (Baluev 2014). This regularized model often helps tosuppress the non-linearity of the RV curve fit.( c ) The optimized computation algorithm of the so-called Keplerian periodogram(Cumming 2004), equipped with an efficient analytic method of calculating its signifi-cance levels (Baluev 2014, in prep.). 1 Roman V. Baluev( d ) Fitting exoplanetary transit lightcurves is now implemented in PlanetPack. Thisalgorithm can fit just a single transit lightcurve, as well as a series of transits for thesame star to generate the transit timing variation (TTV) data. These TTV data canbe further analysed as well in order to e.g. reveal possible periodic variations indicatingthe presence of additional (non-transiting) planets in the system. The transit lightcurvemodel is based on the stellar limb darkening model by (Abubekerov & Gostev 2013).Also, the transit fitting can be performed taking into account the red (correlated) noisein the photometry data.
3. Plans for future work
Some results of the PlanetPack TTV analysis of the photometric data from the Ex-oplanet Transit Database, http://var2.astro.cz/ETD/ , will be soon presented in aseparate work. Concerning the evolution of the PlanetPack code, we plan to further de-velop the transit and TTV analysis module and to better integrate it with the Doppleranalysis block. We expect that in a rather near future PlanetPack should be able to solvesuch complicated tasks as the simultaneous fitting of the RV, transit, and TTV data forthe same star. This integration should also take into account subtle intervenue betweenthe Doppler and photometry measurements like the Rositter-McLaughlin effect.
The work was supported by the President of Russia grant for young scientists (MK-733.2014.2),by the Russian Foundation for Basic Research (project 14-02-92615 KO a), and by the pro-gramme of the Presidium of Russian Academy of Sciences “Non-stationary phenomena in theobjects of the Universe”.
References
Abubekerov, M.K., & Gostev, N.Y. 2013,
MNRAS , 432, 2216Baluev, R.V. 2013,
Astron. & Comput. , 2, 18Baluev, R.V. 2014,
MNRAS , submitted, arXiv:1407.8482Cumming, A. 2004