Paper Title
Detection of Weak Exoplanet Transit Signals in Kepler Light Curves Using Adaptive Noise Filtering and Phase-Folded Time-Series Analysis
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Registration ID: IJNRD_323682
Published ID: IJNRD2607408
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Abstract
Transit photometry is one of the most effective techniques for discovering exoplanets and has enabled the detection of thousands of planetary systems. However, identifying small Earth-sized planets remains challenging because their transit signals are often extremely weak and can be obscured by stellar variability and instrumental noise. In this study, we analyze stellar photometric time-series data obtained from the Kepler Space Telescope archive to investigate methods for improving the detectability of weak transit signals. Long-cadence light curve observations of the star Kepler-10 were retrieved from the Barbara A. Mikulski Archive for Space Telescopes and processed using a data analysis pipeline consisting of preprocessing, noise filtering, normalization, and phase-folded time-series analysis. The combined dataset spans approximately four years of observations and contains multiple observing quarters. After preprocessing and noise reduction, the light curve was phase-folded using the known orbital period of the exoplanet Kepler-10b to enhance periodic transit signatures. The resulting analysis reveals a measurable dip in normalized stellar flux consistent with the expected transit profile of the planet. These results demonstrate that systematic preprocessing and time-series analysis can effectively enhance the detectability of weak transit signals in large photometric datasets. The proposed framework provides a practical approach for analyzing archival stellar observations and may support future automated detection pipelines for identifying planetary candidates in large astronomical surveys.
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Rajesh More (July-2026). Detection of Weak Exoplanet Transit Signals in Kepler Light Curves Using Adaptive Noise Filtering and Phase-Folded Time-Series Analysis. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 11(7), e95-e101. https://ijnrd.org/papers/IJNRD2607408.pdf
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Volume 11 Issue 7, July-2026
Pages : e95-e101
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Paper Reg. ID: IJNRD_323682
Published Paper Id: IJNRD2607408
Research Area: Physics All
Author Type: Indian Author
Country: Pune, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2607408.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2607408
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