phase lags of quasi periodic oscillations across source
play

Phase lags of quasi-periodic oscillations across source states in - PowerPoint PPT Presentation

Phase lags of quasi-periodic oscillations across source states in the low-mass X-ray binary 4U 163653 de Avellar, M., M endez, M., Altamirano, D., Sanna, A., Zhang, G. (2016) Marcio G B de Avellar April 28, 2016 J W Goethe Universit


  1. Phase lags of quasi-periodic oscillations across source states in the low-mass X-ray binary 4U 1636–53 de Avellar, M., M´ endez, M., Altamirano, D., Sanna, A., Zhang, G. (2016) Marcio G B de Avellar April 28, 2016 J W Goethe Universit¨ at / Universidade de S˜ ao Paulo NewCompStar Meeting 2016, Istanbul

  2. Table of contents 1. Quasi-periodic Oscillations (QPOs) and source states 2. Frequency correlations: benchmarks 3. Time/phase lags 4. Marcio @ ITP 2

  3. Quasi-periodic Oscillations (QPOs) and source states

  4. QPOs 0.1 Box 20 Lb2 Lb LhHz Ll 0.01 Lu Summed Power 0.001 0.0001 Residual 2 0 -2 1 10 100 1000 ν [Hz] Figure 1: We fit the components with Lorentzians. The appearance of the components depend of the source position in the CCD. 4

  5. Source states Sa = 1 1.1 1 27 0.9 26 HC 25 0.8 23 24 21 22 20 Sa = 2 0.7 18 19 6 3 9 12 15 4 7 10 13 2 1 17 5 8 11 14 16 0.6 0.9 0.95 1 1.05 1.1 1.15 1.2 1.25 1.3 1.35 SC Figure 2: We divided the CCD in 37 regions. The line parametrises the position via the parameter S a . We averaged the observations within each box. 5

  6. Where do we find QPOs? We see QPOs in very different systems: • AGNs, • ULXs, • CVs recall the talk by Solen Balman , • LMXBs ... The “common structure” is some kind of the accretion flow . Figure 3: LMXBs scheme; we focus on the inner edge of the disc where the dominant emission is in X-rays. 6

  7. Frequency correlations: benchmarks

  8. Frequency correlations 1000 L b2 L b L hHz L h L low L l 4U 1636-53 100 ν max (Hz) 10 1 0.1 100 1000 ν u (Hz) Figure 4: Altamirano (2008) plus Marcio’s data. Pay attention to the ν l - ν u relation in the upper right corner. 8

  9. Time/phase lags

  10. Concepts Time/phase lags are Fourier-frequency-dependent measurements of the time (phase) delays between two concurrent and correlated signals, i.e. two light curves of the same source, in two different energy bands, s(t) and h(t). If S xx = S ( ν ) ∗ S ( ν ) = | S ( ν ) | 2 is PDS of s(t) and H yy = H ( ν ) ∗ H ( ν ) = | H ( ν ) | 2 is PDS of h(t), � Im ( S ( ν ) ∗ H ( ν )) � ∆ φ ( ν ) = arctan Re ( S ( ν ) ∗ H ( ν )) and the corresponding time lags ∆ t = ∆ φ ν . Differences in photon arrival times give information about the source size and propagation speeds. 10

  11. Concepts We then studied the frequency dependence , the position dependence and the energy dependence of the phase lags of each QPO, since: • Dependence on frequency/ S a ⇒ geometry of the medium. • Dependence on energy ⇒ physical conditions of the medium (T, ρ , radiative processes). We look for trends of the phase lags with the quantities. 11

  12. Frequency dependence 0.4 0.1 L b L b2 0.3 0.05 0.2 ∆φ /2 π ∆φ /2 π 0.1 0 0 -0.05 -0.1 -0.2 -0.1 0 2 4 6 8 10 0 10 20 30 40 50 ν [Hz] ν [Hz] 0.1 L h 0.04 L hHz 0.05 0.02 ∆φ /2 π ∆φ /2 π 0 0 -0.02 -0.05 -0.04 -0.1 0 10 20 30 40 50 80 100 120 140 160 180 200 ν [Hz] ν [Hz] L l 0.04 0.06 L u 0.02 0.04 0 0.02 ∆φ /2 π ∆φ /2 π -0.02 0 -0.04 -0.02 -0.06 -0.04 500 550 600 650 700 750 800 850 900 950 500 600 700 800 900 1000 1100 1200 12 ν [Hz] ν [Hz]

  13. Position dependence 0.4 0.1 L b L b2 0.3 0.05 0.2 ∆φ /2 π ∆φ /2 π 0.1 0 0 -0.05 -0.1 -0.2 -0.1 1.8 1.85 1.9 1.95 2 2.05 2.1 2.15 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2 2.1 2.2 2.3 S a S a 0.1 L h 0.04 L hHz 0.05 0.02 ∆φ /2 π ∆φ /2 π 0 0 -0.02 -0.05 -0.04 -0.1 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2 2.1 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2 2.1 2.2 S a S a L l L u 0.04 0.04 0.02 0.02 ∆φ /2 π ∆φ /2 π 0 0 -0.02 -0.02 -0.04 -0.04 1.9 1.95 2 2.05 2.1 2.15 2.2 2.25 2.3 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2 2.1 2.2 2.3 13 S a S a

  14. Energy dependence 0.04 0.04 L b2 L b 0.03 0.03 0.02 0.02 0.01 0.01 ∆φ /2 π ∆φ /2 π 0 0 -0.01 -0.01 -0.02 -0.02 -0.03 -0.03 -0.04 -0.04 2 4 6 8 10 12 14 16 18 20 2 4 6 8 10 12 14 16 18 20 E [keV] E [keV] 0.06 0.06 L h L hHz 0.05 0.05 0.04 0.04 0.03 0.03 0.02 0.02 ∆φ /2 π ∆φ /2 π 0.01 0.01 0 0 -0.01 -0.01 -0.02 -0.02 -0.03 -0.03 2 4 6 8 10 12 14 16 18 20 2 4 6 8 10 12 14 16 18 20 E [keV] E [keV] 0.02 0.08 L l L u 0.06 0.01 0.04 0 ∆φ /2 π ∆φ /2 π 0.02 -0.01 0 -0.02 -0.02 -0.03 -0.04 2 4 6 8 10 12 14 16 18 20 2 4 6 8 10 12 14 16 18 20 14 E [keV] E [keV]

  15. Summary and implications Recalling, we looked for trends in the phase lags with ν , S a and E . • Dependence on frequency/ S a ⇒ geometry of the medium. • Dependence on energy ⇒ physical conditions of the medium. Except for the lower kHz QPO , the phase lags of all the other QPOs are independent of the frequency or S a . Except for the lower kHz QPO and the hump QPO , the phase lags of all the other QPOs are independent of the energy. ps: when we say “there is no trend” we actually mean that we cannot discern with these data a constant from a linear increase/decrease. 15

  16. Models that involve reflection off the disc or Comptonization c � ∆ t � ⇒ upper limit to the size of the medium in which the time lags are produced. a ∼ c � ∆ t � k b T e 4 τ ln ( E 2 / E 1 ) . m e c 2 Table 1: a is the size scale and n e is the electronic density of the medium. Here, E 2 = 16 . 0 keV, E 1 = 7 . 1 keV, k b T e = 5 keV, τ = 5, n e = τ/ ( a σ T ). n e [10 20 cm − 3 ] QPO c ∆ t [km] a [km] L b 2 2610 ± 630 628 . 6 ± 151 . 7 0 . 0012 ± 0 . 0003 15 ± 27 3 . 6 ± 6 . 5 0 . 21 ± 0 . 37 L b L h 240 ± 30 57 . 8 ± 7 . 2 0 . 013 ± 0 . 002 2 . 4 ± 10 . 5 0 . 58 ± 2 . 53 1 . 3 ± 5 . 7 L hHz L l 6 . 3 ± 0 . 6 1 . 52 ± 0 . 14 0 . 50 ± 0 . 05 L u 3 . 0 ± 0 . 6 0 . 72 ± 0 . 14 1 . 04 ± 0 . 21 Notice the very low densities. 16

  17. BHC systems • M´ endez et al (2015): for GRS 1915+105: the (soft) lags of ν 1 = 35 Hz are inconsistent with the (hard) lags of ν 2 = 67 Hz. Similarly to the kHz QPOs of 4U 1636–53 . • L hHz in NS-LMXBs could be related to the QPOs of BHC in the 180-450 Hz range. 17

  18. Placing the upper kHz QPO • Bult and van der Klis (2015): SAX J1808.4-3658 ⇒ ν u results from azimuthal motion at the inner edge of the disc. • Bachetti (2010) and Romanova and Kulkarni (2009): can produce high frequency QPOs with 3D simulations of the accretion flow onto a magnetized neutron star. SAX J1808.4-3658 is a accreting ms X-ray pulsar classified as an atoll source (like 4U 1636–53). We suggest that: • The phase lags of the upper kHz QPO encode the properties of the medium at the magnetospheric radius (where the upper kHz QPO would be produced, 6 to 11 km from the surface in our estimations). • The phase lags of the lower kHz QPO encode the properties of the medium at the boundary layer and nearby (where the lower kHz QPO would be produced). 18

  19. What about the energy dependence of the lags? • Lee, Misra, Taam (2001): up-scattering Comptonization Model for the soft lags of L l where the corona and disc temperatures oscillates coherently at the QPO frequency ⇒ a ∼ 5 km; explain also the rms% vs E. Cannot explain the other lags. • Kumar and Misra (2014): a thermal Comptonizing plasma that oscillates at QPO frequency. The soft lags of L l are seen only when the heating rate of the corona varies and a significant fraction of the photons impinge back onto the source of soft photons ⇒ a ∼ 1 km; explain also the rms% vs E. Cannot explain the other lags. 19

  20. Picture to have in mind Figure 5: From Falanga and Titarchuk (2007). 20

  21. Conclusion • Peille et al (2015): QPO spectrum is compatible with a black body spectrum with T bb > T continuum ; lags of L l are systematically different from the lags of L u . Their scenario: if lags of L u are reverberation-dominated, then L u comes simply from variation in luminosity at the inner edge of the disc, a response to variations in ˙ M onto the boundary layer. ⇒ The similarity between the lag-energy spectrum of L u and of the L b , L h , L hHz found here would imply similar origins. If extended to include all the other QPOs, these models provide an opportunity to study the dynamic and physical conditions of the Comptonising corona in neutron-star low-mass X-ray binaries. 21

  22. Marcio @ ITP

  23. Using observational data we want Identify frequencies, not only ν l and ν u , but also other frequencies that could be linked to other QPOs and infer the neutron star parameters. lo=3.806213523 rcusp=4.55 rmax=8.43 rext=16.56 Rns=4.55 Mns=1.7 Msun Rns=11.42 km Torus Size = 12.01 = 30.15 km Figure 6: The biggest torus around this star. Constant angular momentum distribution. 23

  24. Questions? Thanks. 24

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend