Skip to main content Accessibility help
×
Home

New Empirical Fitting Functions of the Lick/IDS indices using MILES

  • J. M. Martín-Hernández (a1), E. Mármol-Queraltó (a1), J. Gorgas (a1), N. Cardiel (a1), P. Sánchez-Blázquez (a2), A. J. Cenarro (a3), R. F. Peletier (a4), A. Vazdekis (a3) and J. Falcón-Barroso (a5)...

Abstract

Here we present new empirical fitting functions for the Lick/IDS line-strength indices as measured in MILES (Medium-resolution INT Library of Empirical Spectra; Sánchez-Blázquez et al., Cenarro et al. 2007). Following previous work in the field (Gorgas et al. 1993; Worthey et al. 1994; Worthey & Ottaviani 1997), these functions describe the empirical behavior of the line-strength indices with the atmospheric stellar parameters. In order to derive the fitting functions we have devised a new procedure which, being fully automatic, provides a better description of the line-strength index variations in the stellar parameter space.

    • 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.

      New Empirical Fitting Functions of the Lick/IDS indices using MILES
      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.

      New Empirical Fitting Functions of the Lick/IDS indices using MILES
      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.

      New Empirical Fitting Functions of the Lick/IDS indices using MILES
      Available formats
      ×

Copyright

References

Hide All
Gorgas, J., Faber, S.M., Burstein, D., Gonzalez, J.J., Courteau, S., & Prosser, C. 1993, ApJS 86, 153
Sánchez-Blázquez, P., Peletier, R.F., Jiménez-Vicente, J., Cardiel, N., Cenarro, A.J., Falcón-Barroso, J., Gorgas, J., Selam, S.O., & Vazdekis, A. 2006, MNRAS 371, 703
Cenarro, A.J., Peletier, R.F., Sánchez-Blázquez, P., Selam, S.O., Toloba, E., Cardiel, N., Falcón-Barroso, J., Gorgas, J., Jiménez-Vicente, J., & Vazdekis, A. 2007, MNRAS 374, 664
Worthey, G., Faber, S.M., Gonzalez, J.J., & Burstein, D. 1994, ApJS 94, 687
Worthey, G. & Ottaviani, D. L. 1997, ApJS 111, 377
MathJax
MathJax is a JavaScript display engine for mathematics. For more information see http://www.mathjax.org.

Keywords

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