Skip to main content Accessibility help
×
Home

Using Multi-Band Photometry to Classify Supernovae

  • Dovi Poznanski, Avishay Gal-Yam, Dan Maoz (a1), Alexei V. Filippenko (a2), Douglas C. Leonard (a3) and Thomas Matheson (a4)...

Summary

Large numbers of supernovae (SNe) have been discovered in recent years, and many more will be found in the near future. Once discovered, further study of a SN and its possible use as an astronomical tool (e.g., as a distance estimator) require knowledge of the SN type. Current classification methods rely almost solely on the analysis of SN spectra to determine their type. However, spectroscopy may not be possible or practical. We present a classification method for SNe based on the comparison of their observed colors with synthetic ones, calculated from a large database of multi-epoch optical spectra of nearby events. Broadband photometry at optical wavelengths allows classification of SNe up to z = 0.75, and the use of infrared bands extends it further to z = 2.5. We demonstrate the applicability of this method, outline the observational data required to further improve the usefulness of the method, and discuss prospects for its use on future SN samples. Community access to the tools developed is provided by a dedicated website.

    • Send article to Kindle

      To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

      Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

      Find out more about the Kindle Personal Document Service.

      Using Multi-Band Photometry to Classify Supernovae
      Available formats
      ×

      Send article to Dropbox

      To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

      Using Multi-Band Photometry to Classify Supernovae
      Available formats
      ×

      Send article to Google Drive

      To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

      Using Multi-Band Photometry to Classify Supernovae
      Available formats
      ×

Copyright

References

Hide All
1. Filippenko, A.V., Chornock, R.: IAUC 7754 (2001)
2. Hamuy, M.: Astrophys. J. 582, 905 (2003)
3. Panagia, N.: In: “Supernovae and Gamma-Ray Bursters,” ed. Weiler, K.W. (Springer: Berlin, 2003) pp. 113144
4. Poznanski, D., Gal-Yam, A., Maoz, D., Filippenko, A.V., Leonard, D.C., Math-eson, T.: Pub. Astron. Soc. Pacific 114, 833 (2002)
5. Poznanski, D., Gal-Yam, A., Sharon, K., Maoz, D., Jannuzi, B.T.: IAUC 8058 (2003)
6. Vanden Berk, D., Wilhite, B., Miceli, A., Stubbs, C., Lawton, B.: IAUC 7744 (2001)

Using Multi-Band Photometry to Classify Supernovae

  • Dovi Poznanski, Avishay Gal-Yam, Dan Maoz (a1), Alexei V. Filippenko (a2), Douglas C. Leonard (a3) and Thomas Matheson (a4)...

Metrics

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed