low frequency qpos a precession model
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Low frequency QPOs: a precession model in the context of mass - PowerPoint PPT Presentation

Adam Ingram Chris Done Piotr ycki P Chris Fragile Low frequency QPOs: a precession model in the context of mass accretion rate fluctuations The truncated disc model Cool, optically Hot electrons in thick disc high scale height,


  1. Adam Ingram Chris Done Piotr Życki P Chris Fragile Low frequency QPOs: a precession model in the context of mass accretion rate fluctuations

  2. The truncated disc model Cool, optically Hot electrons in thick disc high scale height, thermalises to optically thin flow emit a multi Compton up-scatter coloured black disc seed photons to body spectrum give power law emission XTE 1550-564

  3. The truncated disc model XTE 1550-564

  4. The truncated disc model XTE 1550-564

  5. The truncated disc model XTE 1550-564

  6. The truncated disc model XTE 1550-564

  7. The truncated disc model XTE 1550-564

  8. The truncated disc model XTE 1550-564

  9. The truncated disc model XTE 1550-564 …so what could this QPO be?

  10. Frame dragging www.phys.ncku.edu.tw/.../ apod/ap971107.html Asymmetric potential => precession of particle orbits

  11. Lense-Thirring precession Lense-Thirring precession Ingram, Done & Fragile 2009 Relativistic precession models: Stella & Vietri 1998

  12. Lense-Thirring precession

  13. Lense-Thirring precession Lense-Thirring precession Ingram, Done & Fragile 2009: show that the precession frequency can match QPO frequency

  14. Lense-Thirring precession Lense-Thirring precession …but how does it modulate the spectrum?

  15. Seed photon variation Less seed photons incident on the flow now

  16. Seed photon variation …than now

  17. Self-occultation Photons must pass through more of the flow now

  18. Self-occultation …than now

  19. QPO model L tot L s

  20. QPO model r o =37

  21. QPO model r o =21

  22. QPO model r o =19

  23. QPO model r o =15

  24. QPO model r o =12

  25. QPO model r o =10

  26. QPO model We see: • Harmonic structure • Inclination dependence …but: • It is far too narrow • QPO width and strength are both constant • We haven’t produced the broadband noise ..or sigma - flux relation, time lags etc

  27. Fluctuating L h • Emission from the flow not just up-scattered seed photons • Also emission from liberated gravitational potential energy • Gravitational energy emitted from an annulus of the flow:  dL h M(r,t) ฀ 

  28. Fluctuating L h • Emission from the flow not just up-scattered seed photons • Also emission from liberated gravitational potential energy • Gravitational energy emitted from an annulus of the flow:  dL h M(r,t) …but what is the nature of the Mdot fluctuations? ฀ 

  29. Propagating M fluctuations • Mass accretion rate fluctuations fuelled by MRI • Mdot can’t vary on shorter timescales than the local viscous timescale fP f This gives the noise spectrum GENERATED at each annulus

  30. Propagating M fluctuations This gives the noise spectrum EMMITED at each annulus e.g. Lyubarskii 1997; Arevalo & Uttley 2006, Kotov et al 2001

  31. Propagating M fluctuations L h Arevalo & Uttley 2006 Uttley & McHardy 2001

  32. Propagating M fluctuations M Σ mass conservation =>

  33. Implications for QPO So the frequency fluctuates => QPO width

  34. Total variability model r o =37 Using approximation that under predicts the harmonics

  35. Total variability model r o =21 Using approximation that under predicts the harmonics

  36. Total variability model r o =19 Using approximation that under predicts the harmonics

  37. Total variability model r o =15 Using approximation that under predicts the harmonics

  38. Total variability model r o =9 Using approximation that under predicts the harmonics

  39. Total variability model r o =7 Using approximation that under predicts the harmonics

  40. Approximation The approximation honestly does under predict the harmonics!

  41. Approximation r o =21

  42. Approximation r o =21

  43. Predictions, Successes and Limitations Successes: • Produce QPO and harmonic • Both evolve as observed • Reproduce the broadband noise and sigma-flux relation • This correlates with the QPO Predictions: • Iron line in QPO spectrum

  44. Predictions, Successes and Limitations Limitations: • Not finished yet! • Currently no energy dependence • Currently no disc variability which is required in some states (Wilkinson & Uttley 2009) • BUT: – Disc variability should correlate with the flow variability – Disc variability should correlate with the QPO ...another prediction!

  45. Registration now open at: http://astro.dur.ac.uk/xray2010/

  46. Approximation Ω Ψ L QPO = AΩ - BΨ

  47. Rough match to data

  48. Photon index   1/6   7 L s   3  L h  ฀ 

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