Stimac, Fran (2025) Unreliable Pixel Correction in JWST Exoplanet Data. Bachelor's Thesis, Astronomy.
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Abstract
We present a framework for identifying and correcting unreliable pixels in JWST NIRSpec data, designed to integrate with the Stage 0 to 1 pipeline. It features two modular algorithms: one for detecting unreliable pixels using Gaussian profile fitting and background thresholding, and another for restoring them via directional polynomial interpolation. Several pixel types (HOT, LOW_QE, OPEN, etc.) exhibit exponential decay in unreliability, with a consistent decay constant k = 0.787 ± 0.043 s−1, enabling future predictive masking and improved ramp fitting. We validated the approach on publicly available JWST datasets for WASP–39b, WASP–43b, and WASP–107b, previously analyzed by Alderson et al. (2023), Challener et al. (2024), and Sing et al. (2024), respectively. Our interpolation algorithm significantly reduced outliers and improved the alignment of lightcurve points with expected transit depths. These results enhance data quality for time-domain science and offer a diagnostic tool for monitoring detector performance.
| Item Type: | Thesis (Bachelor's Thesis) |
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| Supervisor name: | Changeat, Q. |
| Degree programme: | Astronomy |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 16 Jul 2025 08:47 |
| Last Modified: | 16 Jul 2025 08:47 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/36324 |
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