Giovannina Mansir

- Created a benchmark library of Solar System atmospheres to enhance comparative exo- planet analysis, integrating advanced statistical models, and spectral data processing. - Applied advanced spectral decomposition techniques to isolate features of planetary surfaces and atmospheres, improving accuracy in characterizing Solar System analogs for exoplanet research. - Streamlined the pipeline for multi-modal data analysis by integrating observational data from multiple instruments, ensuring consistency and reproducibility across diverse datasets. - Conducted comparative analysis between Solar System bodies and exoplanetary candidates pro- viding actionable frameworks for analog-based planetary characterization. - Developed BatSignal, a Python tool leveraging MCMC (Markov chain Monte Carlo) and Gaus- sian Process Regression for precise exoplanet transit modeling, reducing signal noise. The project is open-source on GitHub. - Led monthly identification of transiting planet targets for observation, using statistical analyses to detect Transit Timing Variations (TTVs), contributing to the TraMoS Project. - Conducted approximately 50 nights of solo telescope observations, capturing high-precision data at leading Chilean observatories. - Classified the composition of Near-Earth Objects (NEOs) using photometry from GROND (Gamma- ray Burst Optical/Near-infrared Detector, mounted on the 2.2m telescope at La Silla) for asteroid characterization.

- Developed a tool in IDL to remove atmospheric effects in images from CRISM, an infrared spectrometer on the Mars Reconnaissance Orbiter. - Created a myriad of martian atmospheric models using DISORT (Discrete Ordinates Radiative Transfer Program for a Multi-Layered Plane-Parallel Medium) - Gained extensive knowledge of the CRISM Analysis Toolkit, which is run as an extension to Environ- ment for Visualizing Images (ENVI), an image processing system for easily analyzing remotely sensed data written in IDL.

- Tutor for introductory astronomy classes - Guided 2-4 students per day through problems by breaking down physical and mathematical concepts

- Analyzed exoplanet GJ 436b in attempt to explain the relatively flat transmission spectrum - Adjusted the equation of state and metallicity to lessen the requirement of high cloud cover - Determined that the spectrum could be explained through a metalicity content of around 99%