Geert Barentsen

Results 37 issues of Geert Barentsen

This is a follow-up of #912. Several excellent sets of TESS community light curves are now available at MAST as High Level Science Products. We already support searching and opening...

:heavy_plus_sign: enhancement

When plotting SPOC and QLP light curves together using the following example: ```python import lightkurve as lk lk.search_lightcurve('TIC 1717079071', sector=26, radius=0.0001).download_all().plot() ``` The Y label says "Normalized Flux" based on...

This PR adds a `method='mean'` option to `LightCurve.normalize()` in response to #669.

Based on discussions with @danhey and @ojhall94 at the TASOC workshop this week, the idea has emerged to add `amplitude` and `psd` properties to `LombScarglePeriodogram` to enable anyone to use...

Example: ```python In [1]: import lightkurve as lk In [2]: tpf = lk.search_targetpixelfile("EPIC 211771334", campaign=18).download() In [3]: tpf.to_lightcurve(aperture_mask="threshold").to_corrector("sff").correct() /home/gb/bin/anaconda/lib/python3.7/site-packages/scipy/interpolate/interpolate.py:610: RuntimeWarning: divide by zero encountered in true_divide slope = (y_hi -...

bug

As a convenient "container" for the various priors and likelihoods that we may want to use when carrying out PSF photometry, we should think about adding a `KeplerSceneModel` class. In...

feature-request
psf

Now that PyKE v3.1.0 is released, let's work towards a v.3.2.0 release in which the new API (i.e. the `LightCurve`, `KeplerTargetPixelFile`, `SFFCorrector`, .... classes) is removed in favor of a...

refactoring

PyKE could offer to inject a planet signal using a very simple transit model. For more advanced transit models, we'd want to show in the documentation how the user can...

Right now, in `SFFCorrector`, we fit the motion polynomials as follows: ``` # Next, we fit the motion polynomial after removing outliers self.outlier_cent = sigma_clip(data=self.rot_col, sigma=sigma_2).mask coeffs = np.polyfit(self.rot_row[~self.outlier_cent], self.rot_col[~self.outlier_cent],...

enhancement
high priority