vlbi observations of idv sources brian moloney dr. denise gabuzda university college cork

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VLBI Observations of IDV Sources Brian Moloney Dr. Denise Gabuzda University College Cork

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Page 1: VLBI Observations of IDV Sources Brian Moloney Dr. Denise Gabuzda University College Cork

VLBI Observations of IDV Sources

Brian Moloney

Dr. Denise Gabuzda

University College Cork

Page 2: VLBI Observations of IDV Sources Brian Moloney Dr. Denise Gabuzda University College Cork

Summary

Page 3: VLBI Observations of IDV Sources Brian Moloney Dr. Denise Gabuzda University College Cork

What is IDV?

• Intra-Day Variability: Rapid variations in the I and/or P flux on a timescale of hours

How is it caused?

• Intrinsic

• Extrinsic

Page 4: VLBI Observations of IDV Sources Brian Moloney Dr. Denise Gabuzda University College Cork

Intrinsic

• Within the source

• Implies compact size

– Unfeasibly high Brightness Temperature

• 1017 K which exceeds the Inverse Compton Limit of 1012 K.

Page 5: VLBI Observations of IDV Sources Brian Moloney Dr. Denise Gabuzda University College Cork

Extrinsic

• Outside the source

• Similar to twinkling stars

Page 6: VLBI Observations of IDV Sources Brian Moloney Dr. Denise Gabuzda University College Cork

Previous Results

• J1819+3845’s IDV behaviour has been proven to arise due to Extrinsic effects.

How?– Annual cycle– Time delay between 2 antennas

Dennett-Thorpe J., De Bruyn A.G. 2003, A&A, 404, 113

Dennett-Thorpe J., De Bruyn A.G. 2002, Nature 415, 57

Page 7: VLBI Observations of IDV Sources Brian Moloney Dr. Denise Gabuzda University College Cork

My Experiment

Set of IDV sources in which the cause of variability is not yet certain.

Observed at 8 & 15 GHz in 1997

VLBA + VLA

Page 8: VLBI Observations of IDV Sources Brian Moloney Dr. Denise Gabuzda University College Cork

My Sources

– 0917+624– 0954+658– 1150+812– 2007+777– 1642+690– 0804+499

Page 9: VLBI Observations of IDV Sources Brian Moloney Dr. Denise Gabuzda University College Cork

Plan

• Use VLA data to determine behaviour

• Use all I data to make VLBA map, then create slices in time of P data

• PVLA - PVLBI should be constant

• Identify if variability can be attributed to a certain area of polarisation on VLBI scales

• Analyse properties of varying region

Page 10: VLBI Observations of IDV Sources Brian Moloney Dr. Denise Gabuzda University College Cork

Some Vector Subtraction

PVLBA

VLBA PVLA

VLA PDIFF

DIFF

0917+62416 ->1/0 8 -88 13 77 7 -301/0 ->1/6 14 85 22 76 10 -27

1150+8128 ->13 11 -79 21 86 13 -1713 ->18 13 -81 21 86 11 -1818 ->22 13 -71 22 74 21 -34

1642+6908 ->12 31 -25 39 -31 11 4112 ->15 27 -24 40 -32 16 4415 ->18 33 -21 36 -31 12 2518 ->23 23 -31 32 -39 12 35

2007+7778 ->16 80 -67 92 -70 14 716 ->21 62 -65 78 -65 16 2321 ->1/7 80 -68 96 -70 18 10

Page 11: VLBI Observations of IDV Sources Brian Moloney Dr. Denise Gabuzda University College Cork

0917+624 (VLA)

Page 12: VLBI Observations of IDV Sources Brian Moloney Dr. Denise Gabuzda University College Cork

0917+624 (VLBI)

Page 13: VLBI Observations of IDV Sources Brian Moloney Dr. Denise Gabuzda University College Cork

0917+624 Slices

Page 14: VLBI Observations of IDV Sources Brian Moloney Dr. Denise Gabuzda University College Cork

1642+690 (VLA)

Page 15: VLBI Observations of IDV Sources Brian Moloney Dr. Denise Gabuzda University College Cork

1642 +690 (VLBA)

Page 16: VLBI Observations of IDV Sources Brian Moloney Dr. Denise Gabuzda University College Cork

Future Work

• More detailed analysis for 0917, 1642

• Analyse time slices for other sources

• Model-fitting P data for time slices to better identify varying component and estimate its properties

• Compare results with expected behaviour for scintillation

Page 17: VLBI Observations of IDV Sources Brian Moloney Dr. Denise Gabuzda University College Cork

Acknowledgements

• UCC Radio Astronomy Lab

• The Audience