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spectroscopic diversity of SNe Ia in the near-infrared

Eric Y. Hsiao University of Victoria. spectroscopic diversity of SNe Ia in the near-infrared. SNe Ia in the near-infrared why?. less dust extinction low redshift standard candles in JHK bands independent measure of Hubble constant high redshift rest frame I band Hubble diagram

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spectroscopic diversity of SNe Ia in the near-infrared

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  1. Eric Y. Hsiao University of Victoria spectroscopic diversity of SNe Ia in the near-infrared

  2. SNe Ia in the near-infraredwhy? less dust extinction • low redshift • standard candles in JHK bands • independent measure of Hubble constant • high redshift • rest frame I band Hubble diagram • independent evidence of dark energy

  3. SNe Ia in the near-infraredlow redshift

  4. SNe Ia in the near-infraredlow redshift Krisciunas et al. 2004 ApJ, 602, 81

  5. SNe Ia in the near-infraredhigh redshift

  6. SNe Ia in the near-infraredhigh redshift Nobili et al. 2005 A&A, 437, 789

  7. SNe Ia in the near-infraredk-corrections

  8. near-infraredlibrary spectra

  9. near-infraredlibrary spectra • Hamuy et al. 2002 AJ, 124, 417 (1999ee) • Krisciunaset al. 2007 AJ, 133, 58 (2004S) • Marion et al. 2003 ApJ, 591, 316 • Marion et al. 2009 AJ, submitted

  10. near-infraredlibrary spectra

  11. near-infraredlibrary spectra

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

  13. spectral templatemeasurement of spectral features • measure the feature strengths of the library spectra • determine the weighted mean feature strength at each epoch and wavelength • adjust the base spectral template to the weighted mean feature strengths Hsiao et al. 2007 ApJ, 663, 1187

  14. spectral templatemeasurement of spectral features

  15. spectral templateweighting functions • measure the feature strengths of the library spectra • determine the weighted mean feature strength at each epoch and wavelength • adjust the base spectral template to the weighted mean feature strengths Hsiao et al. 2007 ApJ, 663, 1187

  16. spectral templateweighting functions

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

  18. spectral templatemangling function

  19. spectral templatebase spectral template

  20. principal component analysis (PCA) • 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

  21. near-infraredtemporal evolution

  22. near-infraredtemporal evolution

  23. near-infraredtemporal evolution

  24. near-infraredspectral template

  25. near-infraredspectral template

  26. near-infraredspectral template

  27. near-infraredk-corrections

  28. near-infrareddependence on stretch

  29. near-infrareddependence on stretch(pre-maximum)

  30. I-bandlibrary spectra

  31. I-bandlibrary spectra

  32. I-bandspectral template

  33. I-bandk-corrections CSP

  34. I-bandk-corrections CSP

  35. I-bandtemporal evolution

  36. I-bandstretch template epoch or not?

  37. I-bandstretch template epoch or not?

  38. I-bandstretch template epoch or not?

  39. I-bandstretch template epoch or not?

  40. I-bandstretch template epoch or not?

  41. I-bandstretch template epoch or not?

  42. I-banddependence on stretch

  43. I-banddependence on stretch (primary maximum)

  44. I-banddependence on stretch (primary maximum)

  45. I-banddependence on stretch (primary maximum)

  46. I-banddependence on stretch (primary maximum) 1991T

  47. I-banddependence on stretch (primary maximum) 2000cx

  48. I-banddependence on stretch (primary maximum) 1999aa

  49. I-banddependence on stretch (secondary maximum)

  50. summary low redshift/JHK band • slow temporal evolution of spectral features k-correction errors small around NIR maximum • k-corrections using 1 SN can cause significant systematic errors high redshift/I band • epochs of the spectral template should be stretch corrected • there is an apparent spectroscopic sequence in the I-band OI and CaII triplet features

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