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Data system and modeling. Thomas Zurbuchen University of Michigan thomasz@umich.edu. The weakest link for Sun-heliosphere. Coronal &Heliospheric magnetic field and its structure and evolution How does it all hang together?. User profile #1. Addresses coronal and space science questions.
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Data system and modeling Thomas ZurbuchenUniversity of Michiganthomasz@umich.edu
The weakest link for Sun-heliosphere • Coronal &Heliospheric magnetic field and its structure and evolution • How does it all hang together?
User profile #1 • Addresses coronal and space science questions. • Uses FASR data in connection with other data-sets. • Does not understand or want to understand the intrinsic details of radio-emissions etc. • Will rely on standard products and/or their “simplified” interpretation.
User profile #2 • Is a radio-fanatic. Knows and reads papers on radio physics of the Sun and the corona. • Uses FASR data as a primary data source, but still will integrate the data with other data-sets. • Has strong opinions on how FASR should be run and how data should be analyzed.
Typical experience • Typical composition of users • 70% User #1 • 30% User #2 • … if successful, evolving to, • 90% User #1 • 10% User #2
Conclusions • Data system • Is not just a conglomerate of data with labels • Has to provide data-products which are conceptually simple and useful • Should enable integration into “traditional solar physics” data. • Also, • Needs to be evolutionary • Should use modern tools that enable collaboratories and use data-tagging techniques • Should think of time-scale of 15 years..
Michigan data system elements • Develop, analyze and archive data products • Provide modeling tools that enable understanding and integration of these products into other data-sets. • Work with School of Information, Computer Science and modern aspects of this problem. • Student involvement allows for good and cheap operations.
What we don’t want to do • Develop new models for FASR • Develop a big operation
Solve Laplace equation for given inner boundary Assuming outer boundary is conductor No currents! Intrinsically time-stationary Potential Fields
Photosphere Gilbert et al, 2005.
Prototyping phase • The University of Michigan (UM) will develop a Digital Signal Processing Unit (DSPU) prototype to be integrated into the three-antenna prototype. • UM will also support NJIT in the development of end-to-end measurements using this prototype design. • UM will develop numerical simulations to be used for the analysis of the prototype data and to support the proposal for the full-scale design
Development phase • The University of Michigan (UM) will design, construct and deliver the DSPU for the full-scale FASR system. UM will also support the integration and test of the DSPU with the entire system. • UM will support code development to be used for front-end correlation and Radio Frequency Interference (RFI) detection and mitigation, as well as self-calibration and autonomous health assessment of the system. • UM will develop the data-base system for data and model dissemination for the science phase. • UM will participate in the overall oversight of AUI as part of the leadership council, and interface with other agencies and science communities.
Science phase • The University of Michigan (UM) will participate in the health maintenance of the FASR system through remote health tracking and repairs/improvements where needed. • UM will participate in the dissemination of standardized Level 2 data products and supporting models that will bring FASR data to use. • UM will participate in overall leadership and science planning of the FASR instrument.
Other • During all phases, the University of Michigan (UM) contract will be held by Professors Zurbuchen and Ruf as joint PIs at UM. • UM will support a substantial fraction of this work through the participation of graduate and undergraduate students of engineering and science.