A Study of Seismic Signatures of Active Regions in Far Side Imaging for Applications to Space Weather

LWS TR&T Emerging Active RegionsLWS TR&T Emerging Active Regions

A Study of Seismic Signatures of Active Regions in Far Side

Imaging for Applications to Space Weather

“The main objective is to develop a quantitative relationship between the far side phase-difference signal and more direct measures of the strength of an active region, such as magnetic field strength, area, and helicity. The expected result is significant improvement of the utility of far side imaging for space weather predictions and the NASA LWS program.”

1. - Statistical study of the relationship between the holographic seismic signatures of active regions and their magnetic and intensity configuration - Far side calibration - Near side calibration

2. - Application of holographic diagnostics, both near side and far side, to simulations of active regions which will be produced by a closely related program.

Prediction capabilityPrediction capability

Carrington Longitude

sin

(lati

tud

e)

Active Region NOAA-10808

Aug 29 -> Sep 9 2005

AR10808

Active Region NOAA-10923

Oct 31 -> Nov 10 2006

AR10923

sin

(lati

tud

e)

Calibrating the far-side signalCalibrating the far-side signal

Calibrating the far-side signalCalibrating the far-side signal

Calibrating the far-side signalCalibrating the far-side signal

Calibrating the far-side signalCalibrating the far-side signal

““far-side” imaging of the far-side” imaging of the near sidenear side

1 x 3 skip method actually extends well onto the near side!

can fill in some of this area with 1 x 4 skip method (in progress…)

““far-side” imaging of the far-side” imaging of the near sidenear side

Calibration of the near-side signalCalibration of the near-side signal

QuickTime™ and aTIFF (Uncompressed) decompressor

are needed to see this picture.

Braun & Lindsey, 2000

Calibration of the farside signalCalibration of the farside signal

2x2 Skips 1x3 Skips

Calibration of the farside signalCalibration of the farside signal

Phase Correction: Averaged Phase

Calibration of the farside signalCalibration of the farside signal

Can we improve the Green’s Functions?

Improving the far side monitorImproving the far side monitor

Success Rate

Persistent, strong signal close to the East limb

Compare to front side magnetograms 1-2 days later

Give a probability number associated to an active region candidate

Adding the magnetic calibration

Improving the far side monitorImproving the far side monitor

Success Rate

Persistent, strong signal close to the East limb

Compare to front side magnetograms 1-2 days later

Give a probability number associated to an active region candidate

Adding the magnetic calibration

Ring Pipeline improvementsRing Pipeline improvements Custom patches (pipeline)

Active region tracker

prepare_set.sh AR_number Date Time

Longitude Latitude

Emerging Active Region CatalogEmerging Active Region Catalog

http://gong.nso.edu/emerging

Conclusions and future workConclusions and future work

Calibration Calibration Front side “farside” mapsFront side “farside” maps How does the overlap of pupils affects the signal?How does the overlap of pupils affects the signal? Revisit the Green’s functionsRevisit the Green’s functions Can we improve by using separated rays/frequency Can we improve by using separated rays/frequency

ranges?ranges? Ghost signature / near side artifact?Ghost signature / near side artifact? Application to artificial dataApplication to artificial data

Success Rate --> work in progressSuccess Rate --> work in progress Do we see “emerging active regions” in front Do we see “emerging active regions” in front

side maps?side maps? Rings pipeline able to process a set of data Rings pipeline able to process a set of data

centered in an Active Regioncentered in an Active Region Catalog of Emerging Active regions Catalog of Emerging Active regions