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Manolis Xilouris Institute of Astronomy & Astrophysics National Observatory of Athens

Infrared emission from dust and gas in galaxies. Manolis Xilouris Institute of Astronomy & Astrophysics National Observatory of Athens. Nuclear activity in galaxies :: UOA 11 July 2016. Absorption coefficient and optical depth.

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Manolis Xilouris Institute of Astronomy & Astrophysics National Observatory of Athens

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  1. Infrared emission from dust and gas in galaxies Manolis Xilouris Institute of Astronomy & Astrophysics National Observatory of Athens Nuclear activity in galaxies :: UOA 11 July 2016

  2. Absorption coefficient and optical depth • Consider radiation shining through a layer of material. The intensity of light is found • experimentally to decrease by an amount dIλwhere dIλ=-αλΙλds. Here, ds is a length • and αλ is the absorption coefficient [cm-1]. The photon mean free path, , is inversely • proportional to αλ. Ιλ Ιλ+dΙλ ds • Two physical processes contribute to light attenuation: (i) absorption where the • photons are destroyed and the energy gets thermalized and (ii) scattering where • the photon is shifted in direction and removed from the solid angle under • consideration. • The radiation sees a combination of αλ and ds over some path length L, given by a • dimensional quantity, the optical depth:

  3. Importance of optical depth We can write the change in intensity over a path length as . This can be directly integrated and give the extinction law: • An optical depth of corresponds to no reduction in intensity. • An optical depth of corresponds to a reduction in intensity by • a factor of e=2.7. • This defines the “optically thin” – “optically thick” limit. • For large optical depths negligible intensity reaches the observer.

  4. Emission coefficient and source function • We can also treat emission processes in the same way as absorption by defining • an emission coefficient, ελ [erg/s/cm3/str/cm] : • Physical processes that contribute to ελ are (i) real emission – the creation of • photons and (ii) scattering of photons to the direction being considered. • The ratio of emission to absorption is called the source function.

  5. Radiative Transfer Equation • We can now incorporate the effects of emission and absorption into a single • equation giving the variation of the intensity along the line of sight. The combined • expression is: or, in terms of the optical depth and the source function the equation becomes: • Once αλand ελ are known it is relatively easy to solve the radiative transfer • equation. When scattering though is present, solution of the radiative transfer • equation is more difficult.

  6. Monte Carlo – The method 0.5N • Process with 3 outcomes: Outcome A with probability 0.2 • Outcome B with probability 0.3 • Outcome C with probability 0.5 • We select a large number N of random numbers r uniformly distributed in the interval • [0, 1). Approximately, 0.2N will fall in the interval [0, 0.2), 0.3N in the interval [0.2, 0.5) • and 0.5N in the interval [0.5, 1). The value of a random number r uniquely • determines one of the three outcomes. • More generally: • If E1, E2, …,En are n independent events with probabilities p1, p2, …, pn and • p1+ p2+…+pn=1 then a random number r with • p1+p2+…+pi-1≤ r < p1+p2+…+pi • determines event Ei • For continuous distributions: • If is the probability for event to occur then • determines event uniquely. 0.3N 0.2N [ ) 0 0.2 0.5 1

  7. Monte Carlo – Procedure Step 1: Consider a photon that was emitted at position (x0, y0, z0). Step 2: To select a random direction (θ, φ), pick a random number r and set φ=2πr and another random number r and set cosθ=2r-1. Step 3: To find a step s that a photon makes before an event (scattering or absorption) occurs, pick a random number r and use the probability density where is the mean free path of the medium in equation Step 4: The position of the event in space is at (x, y, z), where: x=x0+s sinθ cosφ y= y0+ s sinθ sinφ z= z0+ s cosθ Step 5: To determine the kind of event occurred, pick a random number r. If r<ω (the albedo) the event was a scattering (go to Step 6), else, it was an absorption (record the energy absorbed and go to Step1). (x,y,z) s θ (x0,y0,z0) φ

  8. Monte Carlo – Procedure Step 6: Determine the new direction (Θ, Φ), where Θ is the angle between the old and the new direction (to be determined from the Henyey-Greenstein phase function *) and Φ=2πr. Step 7: Convert (Θ, Φ)into (θ, φ)and go to Step 3. Continue the loop described above until the photon is either absorbed or escapes from the absorbing medium. Θ * Henyey & Greenstein, 1941, ApJ, 93, 70 Φ s θ (x0,y0,z0) φ

  9. Monte Carlo – Procedure Step 6: Determine the new direction (Θ, Φ), where Θ is the angle between the old and the new direction (to be determined from the Henyey-Greenstein phase function *) and Φ=2πr. Step 7: Convert (Θ, Φ)into (θ, φ)and go to Step 3. Continue the loop described above until the photon is either absorbed or escapes from the absorbing medium. Θ * Henyey & Greenstein, 1941, ApJ, 93, 70 Φ s θ (x0,y0,z0) φ

  10. Scattered intensities - The method I1 I0 I2 I=I0+I1+I2+…

  11. Scattered intensitiesThe method s { Δs Henyey & Greenstein, 1941, ApJ, 93, 70 Weingartner & Draine, 2001, ApJ, 548, 296

  12. Scattered Intensities - Approximation Kylafis & Bahcall, 1987, ApJ, 317, 637 Verification 1. The scattering is essentially forward Henyey & Greenstein, 1941, ApJ, 93, 70

  13. Approximation Kylafis & Bahcall, 1987, ApJ, 317, 637 Verification 2. Computation of the I2 term

  14. Approximation Kylafis & Bahcall, 1987, ApJ, 317, 637 Verification 2. Computation of the I2 term

  15. Model application in spiral galaxies Xilouris et al, 1999, A&A, 344, 868

  16. M51 8 μm FUV 3.6 μm 24 μm 160 μm model observation

  17. Code Comparison in galactic environments DIRTY – M.C. SKIRT – M.C.TRADING –M.C. CRETE – S.I.

  18. (

  19. http://dustpedia.com/

  20. (

  21. CIGALE – Code Investigating GALaxy Emission - http://cigale.lam.fr MAGPHYS – Multi wavelength Analysis of Galaxy PHYSical properties http://www.iap.fr/magphys/magphys/MAGPHYS.html

  22. Xiao-Qing Wen, et al. 2013, MNRAS, 433, 2946 Bell et al. 2003, 149, 289 Yu-Yen Chang, et al. 2015, ApJ, 219, 8 Bitsakis et al. 2011, A&A, 533, 142

  23. Name           log(M_star)   log(SFR)   NED_classificationSDSS J094310.11+604559.1   9.7      -0.621    broad-line AGN MRK 1148                               10        1.401     Sy1-QSO MRK 0290                               10        0.99      EllipticalUGC 04438                             10.3   -0.679    SpiralKUG 0959+438                       10.5     0.66      Spiral2MASX J08555426+0051110  10.6   -0.311    Sy1-QSONGC 3188                               10.6      0.152    (R)SB(r)ab2MASX J08413787+5455069  10.8   -0.931    broad-line AGN2MASX J10074256+4252073  11      -0.634    AGNVV 487                                    11.1    1.095     Sc, Sy1UGC 00488                             11.2     0.624    Sab, Sy1IC 3078                                   11.3    1.199      SbUGC 08782                             11.5     0.389    SpiralNGC 2484                               11.9   -2.109    S0 NGC 4151 10.1       0.057 Sy1

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