Project: |
Mass spectrometer signal processing for diagnosis of air quality in Southeast Asia
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Disciplines: |
Data Science, Chemistry
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Mentor: |
Paul Wennberg,
R Stanton Avery Professor of Atmospheric Chemistry, (EAS),
wennberg@caltech.edu
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Mentor URL: |
https://wennberglab.caltech.edu/
(opens in new window)
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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.
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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.
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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
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Student Requirements: |
Working knowledge of MATLAB and/or JULIA scripting language; data structures; linear algebra.
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Programs: |
This AO can be done under the following programs:
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Program |
Available To |
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SURF
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Caltech students only
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Click on a program name for program info and application requirements.
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