Data system and modelingData system and modeling

Thomas ZurbuchenUniversity of Michigan

thomasz@umich.edu

• 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

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.

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.

Typical experience Typical experience

• Typical composition of users– 70% User #1

– 30% User #2

• … if successful, evolving to, – 90% User #1

– 10% User #2

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..

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.

What we don’t want to doWhat we don’t want to do

• Develop new models for FASR

• Develop a big operation

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

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.

Photospheric FieldPhotospheric Field

Linker et al., 2001.

Roussev et al, 2004.

Michigan InvolvementMichigan Involvement

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

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.

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.

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.