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The synthetic emission spectra for the electron non-thermal distributions by using CHIANTI

The synthetic emission spectra for the electron non-thermal distributions by using CHIANTI. Elena Dzifčáková Department of Astronomy, Physics of the Earth and Meteorology FMPhI Comenius University, Bratislava. Why to use the CHIANTI database.

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The synthetic emission spectra for the electron non-thermal distributions by using CHIANTI

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  1. The synthetic emission spectra for the electron non-thermal distributions by using CHIANTI Elena Dzifčáková Department of Astronomy, Physics of the Earth and Meteorology FMPhI Comenius University, Bratislava

  2. Why to use the CHIANTI database • CHIANTI contains atomic data for the majority of the astronomical interesting ions and has a very good software support. • CHIANTI allows quick computation and analysis of solar spectra and it is an important diagnostic tool of physical parameters of the solar plasma. • The database contains only the collision strengths averaged through the Maxwell distribution. Their approximation function depends on the type of the transition and is performed by 5-point spline functions (Burgess and Tully, 1992).

  3. The collision strength approximation The often used approximation of the collision strength is a functional form (Abramowitz and Stegun, 1965), whereCk andDare coefficients andu=Ei/Eij: The advantage of this approximation is the simple analytical evaluation of its integral over a distribution function.

  4. electric dipole transitions non electric dipole, non exchange transitions exchange transitions The high energy behaviour of 

  5. The collision strength averaged over the Maxwell distribution where y=Eij/kT and Ek is an exponential integral of order k. The coefficients Ck and D can be evaluated from CHIANTI by the least square method.

  6. The conditions for the coefficients Ck and D : • Electric dipole transitions • Non electric dipole, non exchange transitions • Exchange transitions

  7. How precise is the collision strength determined by this inverse technique? • Electric dipole transitions - no problems with the approximation & good agreement with data (TIPbase) Fe XV3s21S0-3s3p 1P1 (284.16 Å)

  8. The electric dipole transitions Fe XV 3s3p 3P1 - 3s3d 3D2 Fe XV 3s3p 3P2 - 3s3d 3D3

  9. Non electric dipole, non exchange transitions Fe XV 3s21S0 - 3p21D2 Fe XV 3s3p 3P1 - 3p3d 3F3

  10. Problem - higher high energy limit of  from CHIANTI than from data (TIPbase) Fe XV 3s3p 3P0 -3p3d 3F3 Fe XV 3s3p 3P2 - 3p3d 3P2

  11. Exchange transitions O VII 1s21S - 1s2p 3P

  12. The minimisation of the influence of possible errors The numerical problems were often with the exchange transitions where the -s can be approximated only by using three or two coefficients. But the fulfilment of the conditions for coefficients guarantees the correct behaviour of  for high and threshold energies. The simplest expressions for  correspond to expressions which have been often used e.g. by Mewe (1972). It is difficult to compare data for all transitions of every ion. Possible errors in the approximation of  cannot be excluded in present time. Their influence on the computation of non-th have been minimised by using:

  13. Non-thermal distributions:kappa distribution

  14. Non-thermal distributions:power distribution Pseudo-temperature

  15. Computation of the line intensity Several programs for analytic computation of the electron excitation rate for the non-thermal distributions have been included into CHIANTI software and small modifications of some original routines have been done. New data include:  ionization equilibrium: C, N, O, Ne, Mg, Al, Si, S, Ar, Ca and Fe for =2, 3, 5, 7, 10, 25 (-distribution) Si, Ca and Fe for n=1, 3, 5, 7, 9, 11, 13, 15, 17, 19 (power distribution)  parameters for approximation of  for all the ions above Changes in line intensity depend on the changes in the ionization equilibrium and excitation equilibrium. What can we expect for different distributions?

  16. Changes in the ionization equilibrium kappa distribution full line - Maxwell distribution dashed line - kappa-distribution,  = 2

  17. Changes in the ionization equilibrium Power distribution

  18. The changes in electron excitation rate kappa distribution power distribution

  19. Changes in spectrum - kappa distribution Maxwell distribution Log T = 6.2 =7 =2

  20. Changes in spectrum - kappa distribution Maxwell distribution DEM: quiet sun =7 =3

  21. Kappa distribution -strong enhancement of CIV lines Maxwell distribution DEM: active region =5 =2

  22. Changes in spectrum - power distribution Maxwell distribution Log  = 6.2 n=5 n=15

  23. Changes in spectrum - power distribution Maxwell distribution DEM: quiet sun n=7 n=15

  24. Satellite lines

  25. By using the modification of CHIANTI we are able to: • model the influence of the shape of the electron distribution function on the spectrum • find the lines whose intensities are sensitive to the shape of the electron distribution function • search for the lines which are suitable for the diagnostics of the non-thermal distributions

  26. To do ... • the computation of the ionization equilibrium for the power distribution for the other elements • the replacement of the parameters for the approximation of  from CHIANTI by the parameters derived from TIPbase wherever it is possible • the modification of the other original CHIANTI routines for the kappa and power distributions (the computation of DEM, electron excitation rates…)

  27. Ďakujem za pozornosť Thank you very much for your attention

  28. kappa distribution, ironDzifčáková, 2005, to be published

  29. kappa distribution, C and ODzifčáková, Kulinová 2003, SP 218

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