A graphical analysis of the systematic error of classical binned methods in constructing luminosity functions
arXiv:1302.5887 · doi:10.1007/s10509-013-1402-9
Abstract
The classical 1/Va and PC methods of constructing binned luminosity functions (LFs) are revisited and compared by graphical analysis. Using both theoretical analysis and illustration with an example, we show why the two methods give different results for the bins which are crossed by the flux limit curves . Based on a combined sample simulated by a Monte Carlo method, the estimate of two methods are compared with the input model LFs. The two methods give identical and ideal estimate for the high luminosity points of each redshift interval. However, for the low luminosity bins of all the redshift intervals both methods give smaller estimate than the input model. We conclude that once the LF is evolving with redshift, the classical binned methods will unlikely give an ideal estimate over the total luminosity range. Page & Carrera (2000) noticed that for objects close to the flux limit nearly always to be too small. We believe this is due to the arbitrary choosing of redshift and luminosity intervals. Because is more sensitive to how the binning are chosen than . We suggest a new binning method, which can improve the LFs produced by the 1/Va method significantly, and also improve the LFs produced by the PC methods. Our simulations show that after adopting this new binning, both the 1/Va and PC methods have comparable results.
9 pages, 11 figures, accepted to Astrophysics and Space Science
References in corpus (7)
- A Flexible Method of Estimating Luminosity Functions
- The Australia Telescope Large Area Survey: Spectroscopic Catalogue and Radio Luminosity Functions
- Evolution of the far-infrared luminosity functions in the Spitzer Wide-area Infrared Extragalactic Legacy Survey
- The galaxy luminosity function and its evolution with Chandra
- Comoving Space Density and Obscured Fraction of High-Redshift Active Galactic Nuclei in the Subaru/{\it XMM-Newton} Deep Survey
- The CLASS BL Lac sample: The Radio Luminosity Function
- Avoiding spurious breaks in binned luminosity functions
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