Utilization of sub‐milliarcsecond trigonometric parallaxes shifts the classical problem of calibration of stellar parameters to a new level of complexity. Derivation of stellar luminosity from the parallaxes is not a straightforward task with a number of statistical effects, such as Malmquist bias, to be taken into account. Different methods are to be used in order to derive parameters of luminosity function depending on nature of an underlying stellar sample. It is also demonstrated how biases in luminosity may influence calibration relations between absolute magnitude and other stellar physical parameters, such as metallicity, pulsation period, etc. It is emphasized that any combination of astrometric parameters, mainly parallaxes, and astrophysical ones must be handled carefully to avoid or reduce statistical effect, which otherwise may seriously affect following astrophysical applications.
Skip Nav Destination
Article navigation
5 December 2008
CLASSIFICATION AND DISCOVERY IN LARGE ASTRONOMICAL SURVEYS: Proceedings of the International Conference: “Classification and Discovery in Large Astronomical Surveys”
14–17 October 2008
Ringberg Castle (Germany)
Research Article|
December 05 2008
Calibration of Stellar Luminosity Using High‐Precision Parallaxes Available to Purchase
Alexey G. Butkevich
Alexey G. Butkevich
Lohrmann Observatory, Dresden Technical University, 01062 Dresden, Germany
Search for other works by this author on:
Alexey G. Butkevich
Lohrmann Observatory, Dresden Technical University, 01062 Dresden, Germany
AIP Conf. Proc. 1082, 66–70 (2008)
Citation
Alexey G. Butkevich; Calibration of Stellar Luminosity Using High‐Precision Parallaxes. AIP Conf. Proc. 5 December 2008; 1082 (1): 66–70. https://doi.org/10.1063/1.3059086
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
6
Views
Citing articles via
Effect of coupling agent type on the self-cleaning and anti-reflective behaviour of advance nanocoating for PV panels application
Taha Tareq Mohammed, Hadia Kadhim Judran, et al.
Design of a 100 MW solar power plant on wetland in Bangladesh
Apu Kowsar, Sumon Chandra Debnath, et al.
With synthetic data towards part recognition generalized beyond the training instances
Paul Koch, Marian Schlüter, et al.