martindevora
martindevora
Do you mean by using the oversampling factor? I thought that the lower limit for that value was 1 because numpy gave me some error where it said that only...
> Do you mean by using the oversampling factor? I thought that the lower limit for that value was 1 because numpy gave me some error where it said that...
Hi. I reproduced it. See attached error traceback for oversampling = 3.75 as example: ``` arrays used as indices must be of integer (or boolean) type Traceback (most recent call...
Do you think that the error found above is a bug or is it expected?
Sure. Here it is for `transitleastsquares` version **1.0.25** and using `lightkurve` v2: ``` import lightkurve import transitleastsquares as tls import multiprocessing lcf = lightkurve.search_lightcurve("TIC 305048087", mission="TESS", cadence="short", sector=[2], author="SPOC")\ .download_all()...
Great! I would sayas that we can explore long data gaps with the same computacional cost than one after another sectors. To me this should be clear enough and answers...
Hi. I've already tried the new version. Sorry for bringing this up again. It works sometimes but I found a case where it fails with a new error. My code...
Hi. Sorry for bothering again, just wanted to keep the issue alive so we can get a fix as soon as you find it possible. Kind regards.
Hi. Because `oversampling_factor=1` is also still suboptimal and the period_grid is still denser than desired. The test I was doing was just using an automatically calculated oversampling factor. This value...
Hi, here are the results (it seems that the execution worked fine a.k.a. no errors): ``` Transit Least Squares TLS 1.0.26 (20 March 2021) Creating model cache for 45 durations...