radio faint grb afterglows

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Radio faint GRB afterglows Sydney Institute for Astronomy (SIfA)/ CAASTRO – The University of Sydney Dr. Paul Hancock with Bryan Gaensler, Tara Murphy, and Davide Burlon

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Radio faint GRB afterglows. Sydney Institute for Astronomy ( SIfA )/ CAASTRO – The University of Sydney. Dr. Paul Hancock with Bryan Gaensler , Tara Murphy, and Davide Burlon. Overview. Intro to GRBs Radio properties of GRBs Radio detection rate. Gamma Ray Bursts. - PowerPoint PPT Presentation

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Page 1: Radio faint GRB afterglows

Radio faint GRB afterglows

Sydney Institute for Astronomy (SIfA)/ CAASTRO – The University of Sydney

Dr. Paul Hancockwith Bryan Gaensler, Tara Murphy, and Davide Burlon

Page 2: Radio faint GRB afterglows
Page 3: Radio faint GRB afterglows

Overview

› Intro to GRBs

› Radio properties of GRBs

› Radio detection rate

3

Page 4: Radio faint GRB afterglows

Gamma Ray Bursts

› Intense bursts of gamma-rays detected by satellites such as Swift / FERMI

› Associated with the core collapse of massive stars

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Page 5: Radio faint GRB afterglows

GRB afterglows

› Long GRBs associated with SNIbc

T Totani Piran, 2003, Nature, 422, 268

Page 6: Radio faint GRB afterglows

Only 30% of GRBs are detected at radio frequencies

› 304 GRBs observed (VLA+ATCA)

› Only 30% have a detected radio afterglow

› Detections and upper limits overlap in flux

6

GRB980703A

GRB980329A

Days Since Burst

"Typical"

Bright

Chandra&Frail 2012

Page 7: Radio faint GRB afterglows

Sensitivity limitations?

› Assumption is that detection rate is a function of sensitivity.

› Implicitly:- There is a single population of GRBs

- Flux (Luminosity) distribution may be broad but is single peaked

- Better sensitivity would result in more detections

› Thus- The destinction between bright/faint is artificial

- the mean flux of the faint GRBs is not far below this artificial divide

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Page 8: Radio faint GRB afterglows

Redshift distribution

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Page 9: Radio faint GRB afterglows

Parameter distributions

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0.3-10 keV X-ray Flux(erg/cm2/s)

Red

shift

No-

Red

shift

R-band optical flux(μJy)

Cum

ulat

ive

Frac

tion

Red

shift

No-

Red

shift

Gamma ray Fluence(erg/cm2)

Red

shift

No-

Red

shift

Page 10: Radio faint GRB afterglows

Conclusion

› The detection rate is NOT being biased by- Differences in redshift distribution

- Our ability to measure redshift

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Page 11: Radio faint GRB afterglows

The effect of limited sensitivity

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Page 12: Radio faint GRB afterglows

1x 12 hour observation

SNR ~ 5

Visibility stacking

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12x 1 hour observations

SNR ~ 1

For a population of sources, visibility stacking can measure the (weighted) mean flux of the population. Hancock et al., 2011, ApJ ,735, L35

Page 13: Radio faint GRB afterglows

Stacking Results

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100-1000 times

brighter

Page 14: Radio faint GRB afterglows

What flux would we have expected?

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Page 15: Radio faint GRB afterglows

Producing a model flux distribution

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Luminosity Models Flux Distribution=> Redshift Distribution =>

Page 16: Radio faint GRB afterglows

Model predictions

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Page 17: Radio faint GRB afterglows

Stacked observations

Consistent with

predictions

~5x fainter than

predictions

Page 18: Radio faint GRB afterglows

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Page 19: Radio faint GRB afterglows

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Page 20: Radio faint GRB afterglows

Two (more) populations of GRBs

› Long-soft GRBs are either radio bright or radio faint

› There are intrinsic differences between the bright and faint GRBs

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Page 21: Radio faint GRB afterglows

A spectral break leads to dark/faint GRBs

22Piran, 1999, Phys.Rep, 314, 575Greiner et al., 2010, A&A, 526, A30