Asset Details
Do you wish to reserve the book?
Revisiting the near infrared Calcium triplet as metallicity indicator
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Revisiting the near infrared Calcium triplet as metallicity indicator
Do you wish to request the book?
Revisiting the near infrared Calcium triplet as metallicity indicator
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Paper
Revisiting the near infrared Calcium triplet as metallicity indicator
2025
Overview
The near-infrared Calcium II Triplet (CaT), around 850nm, is a key metallicity indicator for red giant stars. We present a revised [Fe/H] calibration as a function of CaT line strengths and four luminosity indicators, including the \\(Gaia\\) \\(G\\)-band, together with the classical \\(V\\), \\(I\\), and \\(K_s\\) bandpasses. For this purpose, we used a sample of 366 red giant stars belonging to 25 globular and open clusters, complemented by 52 extremely metal-poor field giant stars. The CaT line strengths are determined by fitting Gaussian-Lorentzian combination profiles using the Python lmfit package, which utilises the algorithms implemented therein. The derived calibration is valid for a wide metallicity range, \\(-4\\)\\,dex\\( \\lesssim \\mathrm{[Fe/H]} \\lesssim +0.15\\), and for ages older than \\(\\sim\\)200 Myr. In addition, we performed a detailed assessment of how factors such as spectral resolution, spectral quality (expressed through the signal-to-noise ratio), and the algorithms used to constrain the line profiles affect the measured line strengths and the resulting metallicities.
Publisher
Cornell University Library, arXiv.org
Subject
