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      Spectroscopic Data Analysis for Precise Determination of Stellar Temperatures

      , , ,

      ADA-III - Astronomical Data Analysis III Conference (ADA)

      Astronomical Data Analysis

      29 April - 1 May 2004

      stars: activity - stars, variability - stars, individual: HK Lac, HD 166, η Aql

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          Abstract

          The ratio of the depths of spectral lines is a powerful indicator of the effective temperature. The method based on this analysis is capable of discerning small temperature variations of individual stars.

          We apply this spectroscopic data analysis to three type of stars, namely an RS CVn type binary system, a young solar-type star and a Cepheid variable. We show that individual LDRs converted into temperature through calibration relations lead to rotational and pulsational modulation of the average surface temperature with amplitudes of 127 K, 48 K and 1466 K in the three types of stars, with average estimated errors of some tens Kelvin degrees.

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          Author and article information

          Contributors
          Conference
          April 2004
          April 2004
          : 1-10
          Affiliations
          Università di Catania - Dipartimento di Fisica e Astronomia

          via Santa Sofia 78, 95123 Catania, Italy

          woac.ct.astro.it
          INAF - Osservatorio Astrofisico di Catania

          via Santa Sofia 78, 95123 Catania, Italy

          woac.ct.astro.it
          Article
          10.14236/ewic/ADA-III2004.17
          © K. Biazzo et al. Published by BCS Learning and Development Ltd. ADA-III - Astronomical Data Analysis III Conference, Sant' Agata sui due Golfi, Italy

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          ADA-III - Astronomical Data Analysis III Conference
          ADA
          3
          Sant' Agata sui due Golfi, Italy
          29 April - 1 May 2004
          Electronic Workshops in Computing (eWiC)
          Astronomical Data Analysis
          Product
          Product Information: 1477-9358BCS Learning & Development
          Self URI (journal page): https://ewic.bcs.org/
          Categories
          Electronic Workshops in Computing

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