Determination of absorption by Q-method for JHK photometry in embedded clusters
T. A. Permyakova
TL;DR
This work tackles the challenge of estimating star-by-star extinction in embedded clusters with spatially varying reddening by applying the infrared Q-method to 2MASS JHK_S photometry. It defines a zero-reddening sequence in two Q–color planes, revealing a two-segment structure whose boundaries depend on the color-excess ratio k_R, and fits the segments with parabolas. A luminosity-function–based segment selection method compares cluster data to a reference zero-reddening LF to assign stars to the appropriate segment and estimate absorption. Through extensive simulations of clusters with uniform and non-uniform absorption, the study shows typical misassignment rates around 10–20% (up to 30% near completeness limits), indicating practical viability for disentangling variable extinction in embedded clusters.
Abstract
In this paper we describe the absorption determination by the Q-method for 2MASS photometry ($J$, $H$ and $K_S$ bands). Using the Pleiades and Praesepe stars, we determine the zero-reddening sequence for different values of the color excess ratios $E(J-H)/E(H-K_S)$. In this paper we consider a sequence consisting of two segments, that leads to an uncertainty in the determining of absorption - one value of the Q parameter corresponds to two values of the non-reddened color index. We propose a method to select a segment of the zero-reddening sequence for the main sequence stars of the cluster. The method is based on the difference in the position of stars of different segments in the cluster luminosity function. To test the proposed method, we simulate the luminosity functions of clusters with the non-uniform absorption distribution in the cluster region. With the typical absorption values in embedded clusters, about 10 % of stars are erroneously assigned, but in some cases this fraction can reach 20 %. Thus, despite the fact that irregular absorption distorts the distribution of stars of different segments on the cluster luminosity function, our method allows to separate stars with an error of no more than 20 %.
