Michael Hippke

Cool! I'm _very_ interested in adding this to the main branch of TLS. Can you elaborate on the features you added, the API, etc? Perhaps even write some documentation on...

Wonderful! You could build on the existing documentation ([source](https://github.com/hippke/tls/tree/master/docs/source), [ReadTheDocs](https://transitleastsquares.readthedocs.io/en/latest/index.html)) and [link an iPython notebook](https://github.com/hippke/tls/tree/master/tutorials)?

Sorry @martindevora again for the delay. Schools are still closed which leaves me hardly any time. I hope the situation will get better in February. Current estimate is either 1...

I think it's a great idea worth implementing in code, and worth searching for in real data. I'm not a specialst of flare-finding algorithms, but the few I have seen...

reduces it by half (in ``main.py``): ``` pool.close() pool.join() del pool del params gc.collect() ```

Not present for ``use_threads=1`` and on Windows (even with multithreading)

Sorry for that. I've been struggling with similar incompatibilities in another project. Unfortunately I don't have an M1 Mac (only AMD and Intel) so it's hard for me to find...

Suggested solution by @MNGuenther ``` ind_tr_phase = np.where( results['model_folded_model'] < 1. )[0] lc_duration = results['period'] * (results['model_folded_phase'][ind_tr_phase[-1]] - results['model_folded_phase'][ind_tr_phase[0]]) ```

Hey both, sorry for the bug and sorry for not merging the pull-request. Not sure what went wrong back then. Happy to merge - how do we do this? Do...

If possible I'd prefer just a bugfix for the issue mentioned here. I'd merge that and release a new version. So there is minimum risk for anything else to break....