Google Summer of Code with OpenAstronomy: Extending the capabilities of synphot, a Python package for generating synthetic photometry
Code relating to my research work for the drone polarimeter cubesat project under the Johnson Astronomy Research group at UVA
Calculates the orbital elements from three separate observations of an object in the sky.
Generate synthetic observational datasets from quantum-geometry signatures for LIGO, EHT, and gravitational wave detectors with realistic noise models and instrument specifications
A series of scripts that helps with organizing, processing, and simple analysis of astronomical images (.fit, .fits). This was originally created as the final project for a course in observational astronomy that I took. I have since gone back to look at my code, in order to polish it, makes some modifications, and then put in a repository.
"Advanced Astronomical Observations" at Institute of Astronomy, National Central University (2nd semester of academic year 2020)
An image resampling and coaddition wrapper package.
Warp signature detection workflow transforming curvature analysis into quantum-geometry signatures, synthetic detector data, and sensitivity comparisons for observational validation
Visualizing the coordinates of slow dippers as given by Schmidt 2021
Advanced Observational Astronomy, Spring 2024
Habitable-zone rocky-exoplanet atmosphere study using decontaminated JWST/NIRSpec PRISM transmission spectroscopy to test spectral flatness and clearly separate measured constraints from atmospheric interpretation.
Celestially is a Python package to generate astronomical finding charts for given celestial coordinates.
TESS stray-light systematics study using source-linked mission data and reproducible diagnostics to examine background contamination, photometric quality and the observational limits imposed by scattered light.
Identify and validate FLARES analogues of RUBIES-UDS-QG-z7.
Hubble charge-transfer-efficiency trail study using source-linked detector data and reproducible diagnostics to examine readout-induced morphology, CTI/CTE systematics and their impact on astronomical image measurements.
CREST - a Python library simplifying best practices for observational astronomy.
Ultra-short-period hot-Jupiter transit study using real TESS photometry with timing freedom and explicit noise inflation, designed for a strongly irradiated system where stellar variability can matter.
Hot-Jupiter weather study combining a corrected TESS transit with phase-resolved JWST/MIRI spectroscopy to examine day-night thermal contrast, orbital phase behavior and reproducible atmospheric diagnostics.
Calculating ALT-AZ coordinates for stellar objects when axes are tilted or rotated.
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