Spectral Synthesis of Core-Collapse Supernovae The JEKYLL code and - - PowerPoint PPT Presentation

spectral synthesis of core collapse supernovae the jekyll
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Spectral Synthesis of Core-Collapse Supernovae The JEKYLL code and - - PowerPoint PPT Presentation

Spectral Synthesis of Core-Collapse Supernovae The JEKYLL code and its application. Mattias Ergon Collaborators: Claes Fransson (physics and software), Markus Kromer (testing), Anders Jerkstrand (testing) H, He, O, Ca, Fe, Continuum Based


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Spectral Synthesis of Core-Collapse Supernovae – The JEKYLL code and its application.

Mattias Ergon

Collaborators: Claes Fransson (physics and software), Markus Kromer (testing), Anders Jerkstrand (testing)

Based on preliminary results!

H, He, O, Ca, Fe, Continuum

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The JEKYLL code

What: Realistic* simulations of the spectral evolution, and the broad-band and bolometric lightcurves for SNe, in the photospheric and nebular phase. How: Full NLTE-solution for the matter and the radiation field, following (and extending) the method outlined by Leon Lucy (2002, 2003, 2005). * Restrictions: Homologues expansion. Spherical symmetry. Steady-state for the matter.

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Radioactive decays energy deposition Electron temperature Thermal equilibrium Radiation field (MC) Radiative transfer Ion level populations Statistical equilibrium Matter Lambda iteration Non-thermal electrons Spencer-Fano equation Timebin iteration

Method outline

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Optically thick Optically thin Collisional processes dominate

NLTE Matter: LTE Radiation: NLTE LTE

NLTE

NLTE: Non-LTE LTE: Local Thermodynamic Equilibrium

NLTE

In LTE all processes are in (near) equilibrium, and the state specified by a single parameter, the temperature.

Yes No

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Optically thick Optically thin Collisional processes dominate

NLTE Matter: LTE Radiation: NLTE LTE

NLTE

NLTE: Non-LTE LTE: Local Thermodynamic Equilibrium

NLTE

R a d i a t i v e t r a n s f e r e q u a t i

  • n

NLTE rate equations

In LTE all processes are in (near) equilibrium, and the state specified by a single parameter, the temperature.

Saha ionization and Boltzman excitation equation Diffusion approximation Yes No

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Optically thick Optically thin Collisional processes dominate

NLTE Matter: LTE Radiation: NLTE LTE

NLTE

NLTE: Non-LTE LTE: Local Thermodynamic Equilibrium

NLTE

R a d i a t i v e t r a n s f e r e q u a t i

  • n

NLTE rate equations

In LTE all processes are in (near) equilibrium, and the state specified by a single parameter, the temperature. In the outer parts and at late times, SNe ejecta are neither optically thick, nor collisionally dominated, so a full NLTE solution is required.

Saha ionization and Boltzman excitation equation Diffusion approximation Yes No

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e

Radioactive decays

γ γ

e

Ionization Heating Excitation Compton scattering Thermalization cascade

Non-thermal electrons

Non-thermal electrons

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e

Radioactive decays

γ γ

e

Ionization Heating Excitation Compton scattering Thermalization cascade

Non-thermal electrons

Spencer-Fano (Boltzman) equation Non-thermal electron distribution Problem solved by Kozma & Fransson (1998), and their original FORTRAN routine has been integrated into JEKYLL.

Non-thermal electrons

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Other similar codes

SUMO (Jerkstrand et al. 2011)

Geometry: 1-D NLTE: Full Non-thermal ionization/excitation: Yes Time-dependence: No Macroscopic mixing: Yes Phase: Nebular

ARTIS (Kromer et al. 2009)

Geometry: 3-D NLTE: Ionization Non-thermal ionization/excitation: No Time-dependence: Radiation field Macroscopic mixing: Yes Phase : Photospheric

CMFGEN (Hillier 1998)

Geometry: 1-D NLTE: Full Non-thermal ionization/excitation: Yes Time-dependence: Full Macroscopic mixing: No Phase: All

JEKYLL (Ergon et al. In prep)

Geometry: 1-D NLTE: Full Non-thermal ionization/excitation: Yes Time-dependence: Radiation field Macroscopic mixing: Yes Phase: All

SEDONA (Kasen et al. 2006)

Geometry: 3-D NLTE: No Non-thermal ionization/excitation: No Time-dependence: Radiation field Macroscopic mixing: No Phase : Photospheric

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Comparisons

SUMO ARTIS CMFGEN

In progress. T.B.D.

Model 13G at 200 days Model 13G at 400 days

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C/O He H 56Ni

Constructed and evolved through the nebular phase with SUMO in Jerkstrand et al. (2015).

Type IIb models: Background

Evolved through the photospheric phase with JEKYLL in Ergon et al. (in prep). In the following I show some results for model 12C, which showed a reasonable agreement with SN 2011dh in the nebular phase.

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Type IIb models: Spectral evolution

Model 12C - Photospheric phase Model 12C - Nebular phase H, He, O, Ca, Fe, Continuum

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Type IIb models: Broad-band lightcurves

Model 12C: 3-150 days SN 2011dh: 3-150 days

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Type IIb models: UV-MIR pseudo-bolometric lightcurve

Model 12C: 3-100 days SN 2011dh: 3-100 days

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Effect of NLTE: Bolometric lightcurve

Model 12C : 3-100 days Model 12C: 3-100 days

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Non-thermal ionization/excitation - Off Model 12C : 3-100 days Model 12C: 3-100 days

Effect of NLTE: Bolometric lightcurve

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NLTE excitation - Off Non-thermal ionization/excitation - Off Model 12C : 3-100 days Model 12C: 3-100 days

Effect of NLTE: Bolometric lightcurve

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Non-thermal ionization/excitation - Off NLTE excitation - Off Electron fraction at 24.1 days

Effect of NLTE: Ionization

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Effect of NLTE: Spectral evolution

Non-thermal ionization/excitation - Off

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LTE + Opacity floor (HYDE) Model 12C : 3-100 days Model 12C: 3-100 days

Effect of NLTE: Bolometric lightcurve

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LTE + Opacity floor (HYDE) Model 12C : 3-100 days Arnett (1982) + Popov (1991) Model 12C: 3-100 days

Effect of NLTE: Bolometric lightcurve

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HYDE opacity floor : 0.024, 0.05, 0.1, 0.15, 0.2 cm^2 gram^-1 Model 12C : 3-100 days Model 12C : 3-100 days Model 12C: 3-100 days

Effect of NLTE: Bolometric lightcurve

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Macroscopic Microscopic

Mixing

Hydrodynamical instabilities → Macroscopic mixing of the nuclear burning zones. To simulate macroscopic mixing, JEKYLL supports virtual cells (Jerkstrand et al. 2011). Virtual cells represents clumps of macroscopically mixed material, and are randomly selected while the photons traverse the otherwise spherically symmetric ejecta. Macroscopic vs Microscopic mixing Different composition and (possibly) density Different temperature, degree of ionizaton etc.

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Effect of mixing: Spectral evolution

Macroscopic mixing Microscopic mixing H, He, O, Ca, Fe, Continuum

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Microscopic Mixing

Effect of mixing: Bolometric lightcurve

Macroscopic Mixing

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More to come ...

Type Ic SNe

Type IIL SNe

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Superluminous SNe