Individual skill

evo-tess-lightcurve-preprocessing

Load TESS text-format light curves and prepare them for transit detection by applying quality flag filtering, NaN removal, outlier rejection, normalization, and Savitzky-Golay flattening to remove stellar variability.

tasks-evolved/exoplanet-detection-period/environment/skills/evo-tess-lightcurve-preprocessing/SKILL.md

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Repository stars (not skill ratings): 98
Repository last updated: Sep 10, 2026
License: Apache-2.0

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SKILL.mdcore · 1,189 bytes
SKILL.mdcore · 1,189 bytes
scripts/utils.pyruns · 2,011 bytes

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# TESS Lightcurve Preprocessing

## Usage
```python
import sys
sys.path.insert(0, '/app/environment/skills/evo-tess-lightcurve-preprocessing/scripts')
from utils import load_tess_lightcurve, filter_quality_and_nans, remove_outliers, estimate_rotation_period, flatten_lightcurve

time, flux, flux_err = load_tess_lightcurve('/root/data/tess_lc.txt')
time, flux, flux_err = filter_quality_and_nans(time, flux, flux_err, quality)
time, flux, flux_err = remove_outliers(time, flux, flux_err, sigma=5)
rot_p = estimate_rotation_period(time, flux)
time_f, flux_f = flatten_lightcurve(time, flux, window_length=0.5)
```