Project:	Mass spectrometer signal processing for diagnosis of air quality in Southeast Asia
Disciplines:	Data Science, Chemistry
Mentor:	Paul Wennberg, R Stanton Avery Professor of Atmospheric Chemistry, (EAS), wennberg@caltech.edu
Mentor URL:	https://wennberglab.caltech.edu/  (opens in new window)
Background:	Caltech mass spectrometers will obtain data on air chemistry across southeast Asia during the NASA ASIA-AQ campaign in spring 2024. See: https://espo.nasa.gov/asia-aq . This project involves improving the signal processing from the Caltech instruments from this mission.
Description:	Data science project to develop new signal processing code to analyze mass spectra obtained from the Caltech Airborne instrument during ASIA-AQ. Project will involve retrieval of chemical information from 5000 M/delta(M) resolution mass spectra. Initial steps include mass alignment, evaluation of lineshape, and development of procedures for removing background ion signals from the spectra.
References:	examples of data and its use in environmental science: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2021JD035701 https://www.science.org/doi/10.1126/sciadv.abl3648
Student Requirements:	Working knowledge of MATLAB and/or JULIA scripting language; data structures; linear algebra.
Programs:	This AO can be done under the following programs:   Program    Available To        SURF    Caltech students only  Click on a program name for program info and application requirements.