期刊
ASTROPHYSICAL JOURNAL
卷 699, 期 2, 页码 1209-1222出版社
IOP PUBLISHING LTD
DOI: 10.1088/0004-637X/699/2/1209
关键词
dust; extinction
资金
- NASA [HST-GO-10547.01-A, HST-GO-10547.02-A, NAS5-26555, NAG5-7584]
- National Aeronautics and Space Administration
- National Science Foundation
We combine new observations from the Hubble Space Telescope's Advanced Camera of Survey with existing data to investigate the wavelength dependence of near-IR (NIR) extinction. Previous studies suggest a power law form for NIR extinction, with a universal value of the exponent, although some recent observations indicate that significant sight line-to-sight line variability may exist. We show that a power-law model for the NIR extinction provides an excellent fit to most extinction curves, but that the value of the power, beta, varies significantly from sight line to sight line. Therefore, it seems that a universal NIR extinction law is not possible. Instead, we find that as beta decreases, R(V) equivalent to A(V)/E(B-V) tends to increase, suggesting that NIR extinction curves which have been considered peculiar may, in fact, be typical for different R(V) values. We show that the power-law parameters can depend on the wavelength interval used to derive them, with the beta increasing as longer wavelengths are included. This result implies that extrapolating power-law fits to determine R(V) is unreliable. To avoid this problem, we adopt a different functional form for NIR extinction. This new form mimics a power law whose exponent increases with wavelength, has only two free parameters, can fit all of our curves over a longer wavelength baseline and to higher precision, and produces R(V) values which are consistent with independent estimates and commonly used methods for estimating R(V). Furthermore, unlike the power-law model, it gives R(V)s that are independent of the wavelength interval used to derive them. It also suggests that the relation R(V) = - 1.36E(K-V)/E(B-V) - 0.79 can estimate R(V) to +/- 0.12. Finally, we use model extinction curves to show that our extinction curves are in accord with theoretical expectations, and demonstrate how large samples of observational quantities can provide useful constraints on the grain properties.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据