A Heliophysicist currently involved in developing a machine learning (ML) model for the prediction of solar energetic particle (SEP) events. Other projects include methods for improving the accuracy of solar wind prediction and estimation of prediction errors/uncerainties for better space weather forecast based on current trends in ML techniques and conventional methods.

Global solar wind - V-map: Created using the Current Sheet Source Surface (CSSS) model (Zhao & Hoeksema, JGR, 1995) and the Wang and Sheeley emprical relation between flux tube expansion factor and solar wind speed (Wang & Sheeley, ApJ, 1990).

SYNERGISTIC ACTIVITIES

PSP/ISOIS User Guide

External Data Sources useful for PSP/ISOIS data analysis - An Excel spreadsheet

SWAMI: Seminars in Machine Learning

The full point spread functions (PSFs: single tar file) and their inverses for the SDO/AIA EUV telescopes in 94, 131, 171, 193, 211, 304, 335 Å are available as a supplemental data to my paper Point--Spread Functions for the Extreme--Ultraviolet Channels of SDO/AIA Telescopes, The Astrophys. J., 765, 144, doi:10.1088/0004-637X/765/2/144. It is located near the end of Introduction.

If you have questions or cannot access the data, please feel free to contact me.

Finding the Face of Genius: Guest Blog in Women in Astronomy Newsletter.