Efficient detection of planets transiting quiet or active stars
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Aug 5, 2025 - Python
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correlated-noise
Here are 6 public repositories matching this topic...
Nearby warm super-Earth transit study using real TESS Sector 22 photometry, timing-adjusted transit fitting and correlated-noise diagnostics, with NASA Exoplanet Archive provenance and reproducible uncertainty-aware analysis.
astronomy reproducible-research exoplanets scientific-visualization astrophysics data-analysis tess planetary-science astronomical-data transit-photometry observational-astronomy correlated-noise nasa-exoplanet-archive transit-timing hd97658b exoplanet-research warm-super-earth
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Aug 15, 2026 - Python
Warm-Neptune transit reanalysis using real TESS photometry, timing-adjusted fitting and correlated-noise diagnostics, with published atmospheric findings kept separate as literature context.
astronomy reproducible-research exoplanets scientific-visualization astrophysics data-analysis tess planetary-science astronomical-data transit-photometry observational-astronomy correlated-noise nasa-exoplanet-archive transit-timing warm-neptune exoplanet-research hat-p-26b
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Aug 15, 2026 - Python
Warm super-Earth transit study using multiple TESS sectors to test consistency, timing and correlated noise, explicitly preserving mixed evidence rather than over-combining weak detections.
astronomy reproducible-research exoplanets scientific-visualization astrophysics data-analysis tess planetary-science astronomical-data transit-photometry observational-astronomy correlated-noise nasa-exoplanet-archive null-results exoplanet-research warm-super-earth hd106315b multi-sector-transits
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Aug 15, 2026 - Python
n reinforcement learning algorithm robot learn and explore the all possible action in all possible states in given environment .If noise is added to action vector , its doesn’t guarantee the to give the correct result for varied states. The main objective of this project is to study the behavior of robot in OpenAI Gym Environments by adding corr…
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Aug 8, 2020 - C++
Denosing of stationary white or correlated Gaussian noise using adaptive curvelet thresholding
signal-processing image-processing gaussian thresholding image-denoising maximum-likelihood-estimation power-spectral-density denoising colored-noise gaussian-noise curvelet-transform curvelets blind-denoising correlated-noise curvelet noise-correlation
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Apr 11, 2026 - Python
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