We propose to use two powerful diagnostic techniques, namely, time lag analysis and differential emission measure (DEM) analysis to investigate the properties of three different coronal heating…

This contract was awarded by the National Aeronautics and Space Administration (NASA) Shared Services Center to Predictive Science Incorporated, a for-profit research organization, for $205,892.57. The contract is for the use of two diagnostic techniques, time lag analysis and differential emission measure (DEM) analysis, to investigate the properties of three different coronal heating models and relate them to extreme ultraviolet (EUV) and X-ray observations of active-region coronal loops. The goal is to determine which, if any, of the heating models is consistent with the observations. The research will leverage data from NASA's Solar Dynamics Observatory (SDO) and Hinode spacecraft. This contract does not have a set-aside designation and was awarded on October 17, 2017 with a completion date of March 31, 2019. Predictive Science Incorporated has previously served as a prime contractor and subcontractor on research and modeling projects related to solar physics and space weather for NASA, the Department of the Air Force, and the Department of the Navy.

We propose to use two powerful diagnostic techniques, namely, time lag analysis and differential emission measure (DEM) analysis to investigate the properties of three different coronal heating models, to relate them to EUV and x-RAY observations of active-region coronal loops, and to determine which model, if any, is consistent with the observations. The analyses will be applied to EUV and x-RAY observations from the EUV AIA imager on SDO, the XRT x-RAY imager on hinode, and the EUV EIS spectrometer, also on hinode. The time lags are measurable delays between when coronal loops appear in different temperature channels. When assembled into maps, they reveal a rich morphology of active-region loops, and contain a wealth of information about the coronal heating mechanism. Meanwhile, DEM analysis has proven to be a powerful technique to investigate the relationship between emission and heating.