Python Data analysis

As an assistant researcher in the BDNYC group at the Astrophysics department at the American Museum of Natural History, I worked on brown dwarfs: low-mass objects too cool to be a star and too hot to be a planet. Part of my work consisted of analyzing astronomical data of these objects using Python. Among some of the tools I created

is a Python-based spectral analysis routine called "pseudo fitter," which calculates local minimum, local maximum and inflection points of a polynomial fit to a spectrum in terms of wavelength among other functionalities.

I WORKED ON

Astronomical data analysis, Python, statistical analysis, uncertainty, data visualization, mathematical modeling.

I COLLABORATED WITH

BDNYC research group, Munazza Alam, Dr. Emily Rice, Dr. Kelle Cruz, Dr. Jackie Faherty

SAMPLE OUTPUTS

For more information and to see the code: https://github.com/scamnasio/pseudofitter