The WTV tool allows users to check whether a target potentially falls within the TESS field of view (FOV). In addition, WTV can be used to calculate the brightness of a target in the TESS bandpass.
This is a High Precision TESS pointing tool. It will convert target coordinates given in Right Ascension and Declination to TESS detector pixel coordinates for the first 13 TESS observing sectors (Year 1) focused on the southern ecliptic plane. It can also query MAST to obtain detector pixel coordinates for a star by TIC ID only. It provides the target ecliptic coordinates, sector number, camera number, detector number, and pixel column and row. If there is no output, then the target is not visible to TESS.
See our proposal tools page for additional resources that aid in the preparation of GI proposals.
TESS data analysis
Lightkurve is a Python-based package developed by the Kepler/K2 Guest Observer (GO) Office for use by the community to work with Kepler and K2 data. The TESS GI Office has partnered with the Kepler/K2 GO Office to develop lightkurve for use with TESS data.
- Reading, writing, and interacting with pipeline products (TPFs, LightCurve files, etc)
- Extracting lightcurves from pixels using custom aperture photometry or custom PSF fitting.
- Removing trends or correcting systematics using widely-used, non-controversial methods (SavGol, CBVs, SFF, ...)
The lightkurve git repository is here.
Several tutorials exist to introduce the general user to TESS data analysis.
- Data search tutorials from MAST can be found here.
- Python notebooks from MAST can be found here.
- Python notebooks from the Kepler/K2 GO Office can be found here.
This list includes tools and software developed specifically for TESS data, as well as tools developed for Kepler and K2 that can be used or modified for TESS. The data formats are similar for Kepler/K2 and TESS: target pixel files (TPF) and full frame images (FFIs). Kepler and K2 had three data modes: long cadence (30 min) and short cadence (1 min) postage stamps (TPFs), and quarterly FFIs (30 min). TESS has two data modes, short cadence (2 min) postage stamps and 30 min cadence FFIs. Note that many tools are under development, and some are more robust than others. The TESS GI Office plans to update this list as new tools, software, and tutorials become available. If you have any tools you would like us to include, please contact us at firstname.lastname@example.org.
Detrending and analysis
|PyKE suite||The PyKE tools developed for the Kepler mission. The git repository can be found here.|
|astrobase||Light curve tools: periodograms (BLS, Lomb-Scargle, analysis of variance), simple detrending (fit high order polynomials), light-curve math (phase-folding, binning). Also, a server for vetting. A tutorial can be found here.|
|cave||Crowded Aperture Variability Extraction.|
|EVEREST||EPIC Variability Extraction and Removal for Exoplanet Science Targets; Detrending of K2 light curves.|
|halophot||K2 Halo Photometry for very bright stars.|
|K2-CPM||K2 Causal Pixel Model.|
|k2phot||Routines for extracting lightcurves from K2 images.|
|k2photometry||Read, reduce and detrend K2 photometry and search for transiting planets.|
|K2Pipeline||Data reduction and detrending pipeline for K2 data in Matlab.|
|k2sc||K2 systematics correction via simultaneous modelling of stellar variability and jitter-dependent systematics using Gaussian Process regression.|
|k2scTess||TESS systematics correction via simultaneous modelling of stellar variability and jitter-dependent systematics using Gaussian Process regression.|
|keplersmear||Make light curves from Kepler and K2 collateral data.|
|nutella||Point spreads for Kepler/K2 inference.|
|OxKeplerSC||Kepler jump and systematics correction using Variational Bayes and shrinkage priors.|
|PySysRem||Correct systematic effects in large sets of photometric light curves.|
|skope||Synthetic K2 objects for PLD experimentation.|
Full frame image analysis
|DIA||Difference Imaging Analysis to extract a light curve from FFIs.|
|eleanor||eleanor is an open-source python framework for downloading, analyzing, and visualizing data from the TESS Full Frame Images.|
|f3||Full Frame Fotometry from the Kepler Full Frame Images.|
|FFIorBUST||Make light curves from the Kepler Full Frame Images.|
|Filtergraph||This is the TESS full-frame-image (FFI) portal which hosts the data products from the pipeline of Oelkers & Stassun (2018).|
|HOTPANTS||High Order Transform of PSF and Template Subtraction; Similar method, but improvement on ISIS image subtraction processing. Documentation for HOTPANTS can be found here.|
|ISIS||Process CCD images using image subtraction.|
|kepcal||Self calibration using the Kepler FFIs.|
|Lightkurve||Extract light curves from FFIs, and package into TPFs.|
|SpyFFI||Tools for simulating TESS imaging at multiple cadences, including cartoon light curves + jitter + focus drifts, cosmic rays.|
|TESSCut||Create time series pixel cutouts from the TESS FFIs. Find out what sectors/cameras/detectors a target was observed in.|
|k2-pix||Overlay a sky survey image on a K2 target pixel stamp.|
|k2ephem||Check whether a Solar System body is (or was) observable by K2.|
|k2fov||Check whether targets are in K2 FOV.|
|tess-point||Provides the target ecliptic coordinates, TESS sector number, camera number, detector number, and pixel column and row.|
|tvguide||A tool for determining whether stars and galaxies are observable by TESS.|
|k2-quality-control||Automated quality control of Kepler/K2 data products.|
|k2flix||Create quicklook movies from the pixel data observed by Kepler/K2/TESS.|
|k2mosaic||Mosaic Target Pixel Files (TPFs) obtained by Kepler/K2 into images and movies.|
|kadenza||Converts raw cadence target data from the Kepler space telescope into FITS files.|
|kepFGS||Tools to use the Kepler and K2 Fine Guidance Sensor data.|
|keputils||Basic module for interaction with KOI and Kepler-stellar tables.|
|kplr||Tools for working with Kepler data using Python.|
|k2plr||Fork of dfm/kplr with added K2 functionality.|
|SuperstampFITS||Create individual FITS files of K2 superstamp regions.|
Planet search, modeling, and vetting
|batman||Fast transit light curve models in Python.|
|DAVE||Discovery And Vetting of K2 Exoplanets.|
|k2ps||K2 planet search.|
|Kepler-FLTI||Kepler Prime Flux-Level Transit Injection.|
|kepler-robovetter||The Kepler prime robovetter.|
|KeplerPORTS||The Kepler pipeline.|
|ketu||A search for transiting planets in K2 data.|
|ktransit||A simple exoplanet transit modeling tool in Python.|
|koi-fpp||False positive probabilities for all KOIs.|
|lcps||A tool for pre-selecting light curves with possible transit signatures.|
|planetplanet||A general photodynamical code for exoplanet light curves.|
|pysyzygy||A fast and general planet transit (syzygy) code written in C and in Python.|
|PyTransit||Fast and easy transit light curve modeling using Python and Fortran.|
|terra||Transit detection code.|
|ttvfast-python||Python interface to the TTVFast library.|
|VESPA||Calculating false positive probabilities for transit signals.|
Miscellaneous science tools
|animate_spots||Make frames for animated gifs/movies showing a rotating spotted star.|
|appaloosa||Python-based flare finding code for Kepler light curves.|
|celerite-asteroseis||Transit fitting and basic time-domain asteroseismology using celerite and ktransit.|
|decatur||Tidal synchronization of Kepler eclipsing binaries.|
|EMAC||The NASA Goddard Space Flight Center Exoplanet Modeling and Analysis Center (EMAC) serves as a repository and integration platform for modeling and analysis resources focused on the study of exoplanet characteristics and environments.|
|FoFreeAST||Fourier-Free Asteroseismology: uses celerite to model granulation and oscillations of stars.|
|isochrones||Pythonic stellar model grid access; easy MCMC fitting of stellar properties.|
|isoclassify||Perform stellar classifications using isochrone grids.|
|kepler_orrery||Make a Kepler orrery gif or movie of all the Kepler multi-planet systems.|
|ldtk||Python toolkit for calculating stellar limb darkening profiles.|
|limb darkening||Limb-darkening and gravity-darkening coefficients for TESS.|
|MulensModel||Microlensing Modelling package.|
|PandExo||A community tool for transiting exoplanets with HST & JWST.|
|pymacula||Python wrapper for Macula analytic starspot code.|
|PyOrbit||General toolkit for modeling radial velocity data.|
|radvel||Simultaneously characterize the orbits of exoplanets and the noise induced by stellar activity.|