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- This project uses deep learning, specifically a Convolutional Neural Network (CNN), to detect exoplanets in star data from the **Kepler Space Telescope**ðŸ”.
- The data, representing changes in l…
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Great work and congratulations on 20 years of Stellarium!
I'm thinking of getting into photometric analysis of exoplanet transits using an amateur setup and was wondering if there could be a filter…
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wht
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@dfm
The planet candidate &epsilon Indi A b has a claimed detection in combined RV and astrometric data. This might be an interesting case to study with exoplanet:
https://arxiv.org/abs/1910.068…
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Some issues with the `` tag:
This is defined in the readme as "longitude of periastron", but is apparently being used to represent the angle ω, which is the argument of periastron. The longitude of p…
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The shape of an exoplanet transit provides critical information on the size and shape of the transiting object. Candidate objects that may exhibit different transit shapes, such as disintegrating plan…
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@colliand attempting to translate some of the discussion on 2023-11-02.
1. Use available models to quantity expected aurora signals across the exoplanet census
2. Determine whether expected aurora…
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Hello!
We developed the [Radis](https://github.com/radis/radis) package to calculate synthetic infrared molecular spectra. Radis was initially used for Plasma & Combustion, but we're now finding n…
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Here is the issue I am concerned about:
- Many exoplanet projects report only planets, never non-planets.
- Even those that tell you where they _didn't_ see planets don't give useful limit or measurem…
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- Generate TMT Jones pupil with segment-to-segment variation
- pass through PerfectCoronagraph with TMT aperture
- Analyze coronagraph residuals