Analysis and Simulations of 6T MWA Solar Data · Pauli Kehayias August 7, 2008 1 Analysis and Simulations of 6T MWA Solar Data ... REU Final Presentation. Pauli Kehayias August 7,

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Pauli Kehayias August 7, 2008 1

Analysis and Simulations of 6T MWA Solar Data

Pauli Kehayias Tufts University

REU Final Presentation

Pauli Kehayias August 7, 2008 2

MWA Background 1

- Murchison Widefield Array- 512 tile array

- 16 dipoles per 5 × 5 m tile

- Tiles spread over 1.5 km radius- 80 – 300 MHz range- 15° – 50° field of view (zenith)

Pauli Kehayias August 7, 2008 3

MWA Background 2

[1]

Pauli Kehayias August 7, 2008 4

MWA Background 3

[2]

Pauli Kehayias August 7, 2008 5

MWA 6T Prototype Array

[3]

Pauli Kehayias August 7, 2008 6

6T Solar Data

- Two hours of solar data collected (April 28, 2008)- 85 MHz, 180 MHz- 0.1 s time resolution- 10 kHz / channel, 128 channels- Alternating 2 minute runs

- Analysis motivations- Solar transients- Radio frequency interference (RFI)- Instrument performance

Pauli Kehayias August 7, 2008 7

Bandshapes 1

Visibilities(data)

Time

Average over time

Bandshape

128

chan

nels

Time series

Freq

uenc

y

Freq

uenc

y

Time

Average over frequency

Tiles

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Bandshapes 2

Good Bad

- 10 s average bandshape- 4/12 input signals were found to be faulty

Pauli Kehayias August 7, 2008 9

Transients 1

- Transient search algorithm:- Calculate 2 hr average bandshapes- Compare to 10 s average bandshapes- Look for large deviations

- Findings- Four event types- All thought to be RFI or instrumental – no solar transients

Pauli Kehayias August 7, 2008 10

Transients 2

Pauli Kehayias August 7, 2008 11

Bandshape Stability

- Examine bandshape noise over time to study performance

- Compare 10 s bandshapes to an average:- “Global” bandshape: over all data- “Local” bandshape: over the current run (2 min)

- Get root mean square (RMS) difference

Pauli Kehayias August 7, 2008 12

Local RMS (85 MHz)

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Average Bandshape Scaling (85 MHz)

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Average Bandshape Scaling (180 MHz)

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Bandshape Scaling Simulations

- Bandshape scaling can be due to varying signal from the sky

- Simulate potential sources:- Background radio sky- Sun (changing orientation and antenna gain)

- Results- Background radio sky is not the sole cause- Sun simulation underway

Pauli Kehayias August 7, 2008 16

Background Radio Sky SimulationBaseline 3, 8

85 MHz

Pauli Kehayias August 7, 2008 17

Sun Simulation 1

- Solar disk: 32’ [4]- 6T resolution:

- 85 MHz: ~40’ – 190’- 180 MHz: ~20’ – 90’- Vary over time

- Sun radio emission brighter near disk edge

Pauli Kehayias August 7, 2008 18

Sun Simulation 2Si

mul

atio

nD

ata

Pauli Kehayias August 7, 2008 19

Acknowledgements

Divya Oberoi

Roger CappalloRich CrowleyPhil Erickson

Madeleine NeedlesK.T. Paul

Preethi PratapAlan Rogers

Randall Wayth (CfA)

Pauli Kehayias August 7, 2008 20

References

1. http://maps.google.com “-26.7033194, 116.6708139”.2. MWA TWiki, Expedition 1 photos,

http://mwa-lfd.haystack.mit.edu/twiki/pub/Main/TilePhotos/tile016w.jpg.3. MWA TWiki, X3.1 Results and Analysis, Divya’s map of selected tiles for X3.1,

http://mwa-lfd.haystack.mit.edu/twiki/pub/Main/ResultsAndAnalysis/do_8T_selection.pdf.4. NASA National Space Science Data Center Sun Fact Sheet.

http://nssdc.gsfc.nasa.gov/planetary/factsheet/sunfact.html.5. S. F. Smerd (1950), Australian J. Sci. Res. A 3, 34.

Pauli Kehayias August 7, 2008 21

MWA Science Goals

- Epoch of Reionization – 21 cm H emission, z = 6.5- Radio sky survey / transient search- Space weather (solar bursts, Faraday rotation, IPS)

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Average Bandshapes (85 MHz)

Pauli Kehayias August 7, 2008 23

Average Bandshapes (180 MHz)

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Transients 3

Pauli Kehayias August 7, 2008 25

Global RMS (85 MHz)

Pauli Kehayias August 7, 2008 26

Sun Simulation 3

[5]

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