Data system and modeling Thomas Zurbuchen University of Michigan [email protected].
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Transcript of Data system and modeling Thomas Zurbuchen University of Michigan [email protected].
![Page 1: Data system and modeling Thomas Zurbuchen University of Michigan thomasz@umich.edu.](https://reader035.fdocuments.in/reader035/viewer/2022062720/56649efd5503460f94c10832/html5/thumbnails/1.jpg)
Data system and modelingData system and modeling
Thomas ZurbuchenUniversity of Michigan
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• Coronal &Heliospheric magnetic field and its structure and evolution
• How does it all hang together?
The weakest link for Sun-heliosphereThe weakest link for Sun-heliosphere
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User profile #1User 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.
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User profile #2User 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.
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Typical experience Typical experience
• Typical composition of users– 70% User #1
– 30% User #2
• … if successful, evolving to, – 90% User #1
– 10% User #2
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Conclusions 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..
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Michigan data system elementsMichigan 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.
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What we don’t want to doWhat we don’t want to do
• Develop new models for FASR
• Develop a big operation
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Potential FieldsPotential Fields
• Solve Laplace equation for – given inner boundary
– Assuming outer boundary is conductor
– No currents!
• Intrinsically time-stationary
B(
r , t) r0
r0
r
n1
r0
rs
n1r
rs
n
cn
m
m0
n1
Pnm e i m t
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PhotospherePhotosphere
0 50 100 150 200 250 300 350
-60
-40
-20
0
20
40
60
Bradial (microTesla) for Carrington Rotation 1996
Longitude (phi)
La
titu
de
(th
eta
)
Gilbert et al, 2005.
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Photospheric FieldPhotospheric Field
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Linker et al., 2001.
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Roussev et al, 2004.
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Michigan InvolvementMichigan Involvement
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Prototyping phasePrototyping 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
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Development phaseDevelopment 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.
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Science phaseScience 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.
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OtherOther
• 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.