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The radiative transfer code POLARIS R. Brauer, S. Reissl, E. - PowerPoint PPT Presentation

The radiative transfer code POLARIS R. Brauer, S. Reissl, E. Pantin, and E. Habart October 30, 2018 Cosmic Dust and Magnetism 2018 Motivation Study magnetic fjelds in astrophysical environments Observe polarized dust continuum emission


  1. The radiative transfer code POLARIS R. Brauer, S. Reissl, E. Pantin, and E. Habart October 30, 2018 Cosmic Dust and Magnetism 2018

  2. Motivation Study magnetic fjelds in astrophysical environments • Observe polarized dust continuum emission • Observe Zeeman split spectral lines • Observe synchrotron radiation and Faraday rotation Polarized emission of the Bok globule B335 ( 1 29 mm ; Maury et al. 2018) 1

  3. Motivation Study magnetic fjelds in astrophysical environments • Observe polarized dust continuum emission • Observe Zeeman split spectral lines • Observe synchrotron radiation and Faraday rotation Polarized emission of the Bok globule B335 1 ( λ = 1 . 29 mm ; Maury et al. 2018)

  4. Motivation Study magnetic fjelds in astrophysical environments • Observe polarized dust continuum emission • Observe Zeeman split spectral lines • Observe synchrotron radiation and Faraday rotation Polarized emission of the disk around HD142527 1 ( λ = 0 . 87 mm ; Ohashi et al. 2018)

  5. Motivation Study magnetic fjelds in astrophysical environments • Observe polarized dust continuum emission • Observe Zeeman split spectral lines • Observe synchrotron radiation and Faraday rotation CN Zeeman Stokes I and V profjles toward DR21 ( left , Crutcher et al. 1999) CARMA map of velocity-integrated CN ( right , Crutcher et al. 2012) 1

  6. Motivation Study magnetic fjelds in astrophysical environments • Observe polarized dust continuum emission • Observe Zeeman split spectral lines • Observe synchrotron radiation and Faraday rotation Reconstruction of the Galactic Faraday depth (Oppermann et al. 2012) 1

  7. Motivation Radiative transfer simulations • Provide predictions for observations • Required sensitivity and resolution (spectral, spatial) • Observability of particular regions and features • Derive constraints from existing observations Investigate magnetic fjelds • Observable quantities that are infmuenced by magnetic fjelds • Consider the outcome from MHD simulations The radiative transfer code POLARIS 2

  8. Motivation Radiative transfer simulations • Provide predictions for observations • Required sensitivity and resolution (spectral, spatial) • Observability of particular regions and features • Derive constraints from existing observations Investigate magnetic fjelds • Observable quantities that are infmuenced by magnetic fjelds • Consider the outcome from MHD simulations The radiative transfer code POLARIS 2

  9. Motivation Radiative transfer simulations • Provide predictions for observations • Required sensitivity and resolution (spectral, spatial) • Observability of particular regions and features • Derive constraints from existing observations Investigate magnetic fjelds • Observable quantities that are infmuenced by magnetic fjelds • Consider the outcome from MHD simulations The radiative transfer code POLARIS 2

  10. Motivation Radiative transfer simulations • Provide predictions for observations • Required sensitivity and resolution (spectral, spatial) • Observability of particular regions and features • Derive constraints from existing observations Investigate magnetic fjelds • Observable quantities that are infmuenced by magnetic fjelds • Consider the outcome from MHD simulations The radiative transfer code POLARIS 2

  11. Motivation Radiative transfer simulations • Provide predictions for observations • Required sensitivity and resolution (spectral, spatial) • Observability of particular regions and features • Derive constraints from existing observations Investigate magnetic fjelds • Observable quantities that are infmuenced by magnetic fjelds • Consider the outcome from MHD simulations The radiative transfer code POLARIS 2

  12. Motivation Radiative transfer simulations • Provide predictions for observations • Required sensitivity and resolution (spectral, spatial) • Observability of particular regions and features • Derive constraints from existing observations Investigate magnetic fjelds • Observable quantities that are infmuenced by magnetic fjelds • Consider the outcome from MHD simulations The radiative transfer code POLARIS 2

  13. Motivation Radiative transfer simulations • Provide predictions for observations • Required sensitivity and resolution (spectral, spatial) • Observability of particular regions and features • Derive constraints from existing observations Investigate magnetic fjelds • Observable quantities that are infmuenced by magnetic fjelds • Consider the outcome from MHD simulations The radiative transfer code POLARIS 2

  14. Motivation Radiative transfer simulations • Provide predictions for observations • Required sensitivity and resolution (spectral, spatial) • Observability of particular regions and features • Derive constraints from existing observations Investigate magnetic fjelds • Observable quantities that are infmuenced by magnetic fjelds • Consider the outcome from MHD simulations The radiative transfer code POLARIS 2

  15. Motivation Radiative transfer simulations • Provide predictions for observations • Required sensitivity and resolution (spectral, spatial) • Observability of particular regions and features • Derive constraints from existing observations Investigate magnetic fjelds • Observable quantities that are infmuenced by magnetic fjelds • Consider the outcome from MHD simulations 2 ⇒ The radiative transfer code POLARIS

  16. Concept of POLARIS Combine radiative transfer with magnetic fjelds MHD simulation of a Bok globule by Bastian Körtgen Magnetic fjeld strength 3 • Polarized dust emission (Reissl et al. 2016) • Zeeman split spectral lines (Brauer et al. 2017) • Synchrotron radiation / Faraday rotation (Reissl et al. in prep.) 10 1 2000 1000 ∆ y [ AU ] B [ mG ] 10 0 0 − 1000 − 2000 10 − 1 − 2000 0 2000 ∆ x [ AU ]

  17. Concept of POLARIS Combine radiative transfer with magnetic fjelds MHD simulation of a Bok globule by Bastian Körtgen Synthetic polarized emission map 3 • Polarized dust emission (Reissl et al. 2016) • Zeeman split spectral lines (Brauer et al. 2017) • Synchrotron radiation / Faraday rotation (Reissl et al. in prep.) 2000 35 30 1000 25 ∆ y [ AU ] P l [ % ] 20 0 15 − 1000 10 25 % 5 − 2000 − 2000 0 2000 ∆ x [ AU ]

  18. Concept of POLARIS Combine radiative transfer with magnetic fjelds MHD simulation of a Bok globule by Bastian Körtgen Synthetic LOS magnetic fjeld strength map 3 • Polarized dust emission (Reissl et al. 2016) • Zeeman split spectral lines (Brauer et al. 2017) • Synchrotron radiation / Faraday rotation (Reissl et al. in prep.) 6 2000 4 1000 2 B LOS [ mG ] ∆ y [ AU ] 0 0 − 2 − 1000 − 4 − 2000 − 6 − 2000 0 2000 ∆ x [ AU ]

  19. Concept of POLARIS Combine radiative transfer with magnetic fjelds • Polarized dust emission (Reissl et al. 2016) • Zeeman split spectral lines (Brauer et al. 2017) • Synchrotron radiation / Faraday rotation (Reissl et al. in prep.) Synthetic all sky Faraday RM map 3

  20. Grid types – All-sky-maps (full Stokes) – Thermal emission of dust grains (including dust grain alignment, ray-tracing customization) – Spectral line emission (including Zeeman splitting and N-LTE level populations) – Synchrotron radiation Visualizations – Emission maps (full Stokes) – Line profjles, SEDs (full Stokes) – Magnetic fjeld maps (Zeeman) – Dust temperature distribution (including stochastic heating) – Optical depth and column density maps – 2D cuts through the grid PolarisTools (optional) – Create dust/gas catalogs – Create POLARIS grids – Run POLARIS simulations – Stellar or dust emission scattered at spherical dust grains (including ray-tracing approach) Calculation modes – Cartesian (OcTree) – Dust temperatures – Spherical – Cylindrical – Voronoi Grid quantities – Hydrogen densities – Dust densities – Gas temperatures – Velocity fjeld – Zeeman properties – Magnetic fjeld strength – Dust and gas properties Additional data – Emission sources (stars, ISRF, …) – Detector parameter (direction, , …) – Dust properties (silicate, carbon, Themis, …) – Gas properties (LAMBDA, JPL, CDMS) – Plot POLARIS results

  21. Grid types – All-sky-maps (full Stokes) – Thermal emission of dust grains (including dust grain alignment, ray-tracing customization) – Spectral line emission (including Zeeman splitting and N-LTE level populations) – Synchrotron radiation Visualizations – Emission maps (full Stokes) – Line profjles, SEDs (full Stokes) – Magnetic fjeld maps (Zeeman) – Dust temperature distribution (including stochastic heating) – Optical depth and column density maps – 2D cuts through the grid PolarisTools (optional) – Create dust/gas catalogs – Create POLARIS grids – Run POLARIS simulations – Stellar or dust emission scattered at spherical dust grains (including ray-tracing approach) Calculation modes – Cartesian (OcTree) – Dust temperatures – Spherical – Cylindrical – Voronoi Grid quantities – Hydrogen densities – Dust densities – Gas temperatures – Velocity fjeld – Zeeman properties – Magnetic fjeld strength – Dust and gas properties Additional data – Emission sources (stars, ISRF, …) – Detector parameter (direction, , …) – Dust properties (silicate, carbon, Themis, …) – Gas properties (LAMBDA, JPL, CDMS) – Plot POLARIS results

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