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Know Your Neighborhood: A Detailed Model Atmosphere Analysis of Nearby White Dwarfs

Published 24 Feb 2012 in astro-ph.SR | (1202.5581v1)

Abstract: We present improved atmospheric parameters of nearby white dwarfs lying within 20 pc of the Sun. The aim of the current study is to obtain the best statistical model of the least-biased sample of the white dwarf population. A homogeneous analysis of the local population is performed combining detailed spectroscopic and photometric analyses based on improved model atmosphere calculations for various spectral types including DA, DB, DC, DQ, and DZ stars. The spectroscopic technique is applied to all stars in our sample for which optical spectra are available. Photometric energy distributions, when available, are also combined to trigonometric parallax measurements to derive effective temperatures, stellar radii, as well as atmospheric compositions. A revised catalog of white dwarfs in the solar neighborhood is presented. We provide, for the first time, a comprehensive analysis of the mass distribution and the chemical distribution of white dwarf stars in a volume-limited sample.

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Summary

Know Your Neighborhood: A Detailed Model Atmosphere Analysis of Nearby White Dwarfs

This paper presents a comprehensive model atmosphere analysis of nearby white dwarfs, focusing on stars located within 20 parsecs of the Sun. The authors aim to refine the atmospheric parameters and offer statistically robust models for a near-complete sample of the local white dwarf population. The analysis integrates both spectroscopic and photometric data, utilizing advanced model atmosphere calculations for various spectral types, including DA, DB, DC, DQ, and DZ stars.

The key objective is to construct a reliable statistical representation of white dwarfs in the solar neighborhood by minimizing bias in sampling. This involves leveraging trigonometric parallax measurements alongside spectroscopic and photometric data to derive effective temperatures, stellar radii, and atmospheric compositions.

Methodology Overview

The study's approach is multifaceted:

  1. Photometric and Spectroscopic Data Integration: By combining photometric energy distributions with spectroscopic observations, the authors calculate effective temperatures and radii. This combined methodology aims to mitigate the known limitations of each technique when used in isolation.

  2. Homogeneous and Improved Atmospheric Models: Utilizing recent developments in model atmospheres, including LTE models with improved Stark broadening calculations and updated opacity sources, the paper aims to produce consistent and accurate atmospheric parameter estimates.

  3. Comprehensive Sample and Distance Estimations: Each star's distance is ascertained using trigonometric parallaxes when available. In their absence, assumptions based on typical surface gravity are applied for photometric solutions.

Results

The analysis yields refined atmospheric parameters for a set of 138 white dwarfs within approximately 20 parsecs:

  • The authors report a mean mass for the sample of approximately 0.650 (\text{M}_{\odot}), with hydrogen-dominated and helium-dominated white dwarfs showing similar mean masses, challenging earlier studies suggesting a mass discrepancy between DA and DB stars.
  • The presence of an extensive population of peculiar objects, such as magnetic white dwarfs, is highlighted, underscoring the local sample’s diversity and alignment with broader observational trends from large-scale surveys like the SDSS.

Implications and Future Directions

The implications of this research are significant in multiple domains:

  • Mass Distribution and Evolutionary Pathways: The discovery of substantial massive white dwarf populations potentially originating from mergers suggests the importance of binary interactions in white dwarf formation. Low-mass stars in cool temperature regimes further complicate single-star evolution theories.

  • Atmospheric Composition Change Mechanisms: The observed increase in the ratio of helium-atmosphere stars at lower temperatures supports the theory of convective mixing. However, unresolved questions about hydrogen retention versus convection-driven changes persist.

  • Improvement of Galactic Models: The revised white dwarf luminosity function, derived from a volume-limited sample, offers invaluable inputs for Galactic population synthesis models and star formation history analysis.

  • Challenges in Modeling Non-DA Stars: The local sample demonstrates the prevalence of white dwarfs with complex atmospheric chemistry, requiring continued refinement of modeling techniques, especially for cool and ambiguous spectral types.

This work stands as a fundamental contribution to the field of stellar astrophysics, setting the stage for larger volume and more comprehensive surveys, especially when considering the eventual incorporation of GAIA data for an enriched parallax and proper motion dataset. The paper encourages further research into the local white dwarf population to fine-tune theoretical models and enhance our understanding of stellar evolution, particularly in lower mass and higher mass regimes.

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