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k-corrections and spectroscopic diversity of SNe Ia

Eric Y. Hsiao University of Victoria. k-corrections and spectroscopic diversity of SNe Ia. k-corrections of SNe Ia. converts an observed magnitude to that which would be observed in the rest frame in another filter usually depends on an assumed spectral distribution (spectral template)

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k-corrections and spectroscopic diversity of SNe Ia

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  1. Eric Y. Hsiao University of Victoria k-corrections and spectroscopic diversity of SNe Ia

  2. k-corrections of SNe Ia • converts an observed magnitude to that which would be observed in the rest frame in another filter • usually depends on an assumed spectral distribution (spectral template) • spectroscopic diversity causes k-correction errors

  3. broadband colors

  4. spectral templateprocedures • quantify the feature strengths of the library spectra • determine the weighted mean feature strength at each epoch and wavelength • adjust a base spectral template to the weighted mean feature strengths Hsiao et al. 2007 ApJ, 663, 1187

  5. spectral templatemeasurement of spectral features

  6. reduction of systematic errors

  7. principal component analysis • PCA reduces multi-dimensional data into principal components • first component is the vector pointing toward the direction of the highest variance in the multi-dimensional data space • rest of the components are orthogonal vectors ranked by their variances

  8. spectroscopic sequence (V band)

  9. spectroscopic sequence (I band)

  10. spectroscopic sequence (I band)

  11. spectroscopic sequence (I band) 2000cx

  12. spectroscopic sequence (I band) 1999aa

  13. effect of epoch and stretch

  14. k-correction errors

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