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propagating atomic uncertainties into data analysis

HMI/AIA Science Teams Meeting, Monterey, Feb 2006. Vinay Kashyap, SAO. propagating atomic uncertainties into data analysis. – Kang et al., 2004, XDAP fitting DEMs to high-resolution Chandra and EUVE grating spectra – wavelength errors, missing lines

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propagating atomic uncertainties into data analysis

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  1. HMI/AIA Science Teams Meeting, Monterey, Feb 2006 Vinay Kashyap, SAO propagating atomic uncertainties into data analysis – Kang et al., 2004, XDAP fitting DEMs to high-resolution Chandra and EUVE grating spectra – wavelength errors, missing lines – correlated uncertainties (via MCMC) pre-compute tables of plausible ion balance

  2. HMI/AIA Science Teams Meeting, Monterey, Feb 2006 Vinay Kashyap, SAO DEM reconstruction cannot be a black box – fast, simple, robust: pick one – smoothing: a necessary evil – error bars.. bands.. bundles.. ropes – astrophysical limitations: changing densities and abundances flows and non-equilibrium ionization line opacities atomic data errors

  3. HMI/AIA Science Teams Meeting, Monterey, Feb 2006 Vinay Kashyap, SAO DEM reconstruction cannot be a black box – fast, simple, robust: pick one – smoothing: a necessary evil – error bars.. bands.. bundles.. ropes – astrophysical limitations: changing densities and abundances flows and non-equilibrium ionization line opacities atomic data errors

  4. HMI/AIA Science Teams Meeting, Monterey, Feb 2006 Vinay Kashyap, SAO coronal building blocks – moss DEM Fletcher & de Pontieu 1999; Lin et al. 2006 – Sun as a star; stars as the Sun – the Capella spike at logT=6.8

  5. HMI/AIA Science Teams Meeting, Monterey, Feb 2006 Vinay Kashyap, SAO DEM challenge: lessons learned MCMC_DEM in PINTofALE – incorrect by ~3x – always check for stability of the solution – watch out for artefacts next to sharp edges – data can be too good; proportionately more difficult to get out of local minima

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