Comments (1)
Nearby stars need to have a mass, radius, and Teff in order to be included in .calc_probs. The latest update (1.0.8, which I just pushed) should assign Solar properties to stars without these values. This isn't a perfect solution, but it's better than ignoring them altogether, in my opinion. You can also insert your own values for mass, radius, and Teff into the .stars dataframe if you have reasonable guesses for them.
Alternatively, you could remove nearby stars with missing properties using the new .remove_star method (see docstring in triceratops.py for usage). I only recommend doing this if that nearby star has been verified (e.g., with observations or a separate analysis) to not be the source of the transit.
I've also updated the code to allow analysis of targets with M < 0.1. These modifications should prevent the code from failing on your objects, but please let me know if there are still issues.
Steven
from triceratops.
Related Issues (20)
- NaN FPP for Kepler target HOT 4
- progress bar? HOT 1
- More contrast curves HOT 1
- Allow using different download_dir for lightkurve HOT 1
- TypingError in triceratops.target.calc_probs HOT 7
- Huge variations in FPP HOT 4
- HTTP connection issue HOT 1
- The current version (2022-12-02) does not work with numpy>=1.23 HOT 2
- calc_probs() raissed HTTP 400 Error from trilegal if the target instance is used for a long time
- Clarify on the nearby stars included in analysis HOT 2
- [Question] Use triceratops probabilities as priors HOT 3
- [Bug] Error when kepler target not in catalog HOT 2
- [Bug] Triceratops times out HOT 4
- [Bug] HTTP Error 404: Not Found HOT 1
- Pytransit issues HOT 6
- issue with the plot of the different scenarios
- v1.0.8 returns empty probs when Ms < 0.1 HOT 8
- [Question] Support for Kepler data HOT 11
- celerite not specified as a requirement HOT 1
- FPP is NaN and NFPP is 0.0 HOT 8
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from triceratops.