-
Notifications
You must be signed in to change notification settings - Fork 1
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Issue with stage 4 lightcurve modeling #21
Comments
Can you provide some more information about this? I have never encountered such an issue before. |
I'm working on a NIRSpec/G395 transmission spectra. The stage1 to stage 3 of data reduction worked perfectly. However, at stage 4, I'm using the 'fit_lightcurves' files with the default set of model parameters, but it is never able to fit the lightcurves. There seems to be always some error with the mid-transit time (see the figure), and the shift is also not constant between each trial. |
What do you mean by the "default set of model parameters"? Are you attempting to fit the mid-transit time, or fixing it? |
I'm trying to fit the mid-transit time. Below is how my ''Fit Priors + Parameters'' look like.
The mid-transit time is approx. 60010.5. Below is the corner plot from the fit. I've tried changing the priors widely and even ran on the other set, i.e. nrs2. However, the problem persists. It seems like the model isn't generating a transit function to fit the data, although I've selected |
No, I don't think the issue is that the code is producing an eclipse as opposed to a transit model. Have you tried fixing the mid-transit time to the value that you expect? What happens then? |
Fixing the mid-transit doesn't change anything either (see below). The expected mid-transit time is from the JWST time-stamps in MJD. The fixed a/R* and inclination values are from literature. I have also tried keeping them free, but that does not work either. The white and chromatic lightcurve fits using Eureka! looks just fine (see below), which uses similar priors. However, I haven't been able to produce any correct fit using exoTEDRF yet. |
Interesting. |
Thanks Radica for extending your help. I'm in the midst of some deadlines in here now, so let me get back to you in a few days with the LCs and the model parameters. In the meantime, I have modeled the LCs using other packages, and I'm really impressed with the reduced data from exoTEDRF. Expect to see us using your pipeline in several works in future :) |
I'm facing a problem while running Stage 4 to fit the lightcurves using fit_lightcurves.py and fit_lightcurves.yaml. It is unable to fit the mid-transit time. There is always a large random shift in the time axis.
The text was updated successfully, but these errors were encountered: