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box-least-squares

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novocxine / DeepTransit

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An end-to-end AI-driven pipeline for automated exoplanet detection, using a hybrid framework of 1D CNNs and Box Least Squares (BLS) to filter, classify, and physically model transit signals from noisy, crowded-field TESS light curves.

python deep-learning signal-processing astrophysics convolutional-neural-networks time-series-classification hackathon-project exoplanet-detection transit-photometry box-least-squares tess-data
  • Updated Jul 2, 2026
  • TypeScript

AsthaChandel123 / bah2026-ps7

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AI pipeline that detects and classifies exoplanet transits in noisy TESS light curves - BLS/TLS search, 15 astrophysical vetting tests, a calibrated transit / eclipsing-binary / blend / other ML ensemble, and Bayesian fitting of period, depth & duration with uncertainties, plus one-page vetting sheets and a 3-page report. (BAH 2026 PS7)

time-series nasa exoplanets scientific-computing xgboost kepler gaia bayesian-inference mcmc light-curves tess lightkurve exoplanet-detection transit-photometry box-least-squares transit-least-squares
  • Updated Jul 7, 2026
  • Python

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