10,188 research outputs found
Library of medium-resolution fiber optic echelle spectra of F, G, K, and M field dwarfs to giants stars
We present a library of Penn State Fiber Optic Echelle (FOE) observations of
a sample of field stars with spectral types F to M and luminosity classes V to
I. The spectral coverage is from 3800 AA to 10000 AA with nominal a resolving
power 12000. These spectra include many of the spectral lines most widely used
as optical and near-infrared indicators of chromospheric activity such as the
Balmer lines (H_alpha, H_beta), Ca II H & K, Mg I b triplet, Na I D_{1} and
D_{2}, He I D_{3}, and Ca II IRT lines. There are also a large number of
photospheric lines, which can also be affected by chromospheric activity, and
temperature sensitive photospheric features such as TiO bands. The spectra have
been compiled with the goal of providing a set of standards observed at medium
resolution. We have extensively used such data for the study of active
chromosphere stars by applying a spectral subtraction technique. However, the
data set presented here can also be utilized in a wide variety of ways ranging
from radial velocity templates to study of variable stars and stellar
population synthesis. This library can also be used for spectral classification
purposes and determination of atmospheric parameters (T_eff, log{g}, [Fe/H]). A
digital version of all the fully reduced spectra is available via ftp and the
World Wide Web (WWW) in FITS format.Comment: Latex file with 17 pages, 4 figures. Full postscript (text and
figures) available at http://www.ucm.es/info/Astrof/fgkmsl/FOEfgkmsl.html To
be published in ApJ
Instrumental variables quantile regression for panel data with measurement errors
This paper develops an instrumental variables estimator for quantile regression in panel data with fixed effects. Asymptotic properties of the instrumental variables estimator are studied for large N and T when Na/T ! 0, for some a > 0. Wald and Kolmogorov-Smirnov type tests for general linear restrictions are developed. The estimator is applied to the problem of measurement errors in variables, which induces endogeneity and as a result bias in the model. We derive an approximation to the bias in the quantile regression fixed effects estimator in the presence of measurement error and show its connection to similar effects in standard least squares models. Monte Carlo simulations are conducted to evaluate the finite sample properties of the estimator in terms of bias and root mean squared error. Finally, the methods are applied to a model of firm investment. The results show interesting heterogeneity in the Tobin’s q and cash flow sensitivities of investment. In both cases, the sensitivities are monotonically increasing along the quantiles
How many nucleosynthesis processes exist at low metallicity?
Abundances of low-metallicity stars offer a unique opportunity to understand
the contribution and conditions of the different processes that synthesize
heavy elements. Many old, metal-poor stars show a robust abundance pattern for
elements heavier than Ba, and a less robust pattern between Sr and Ag. Here we
probe if two nucleosynthesis processes are sufficient to explain the stellar
abundances at low metallicity, and we carry out a site independent approach to
separate the contribution from these two processes or components to the total
observationally derived abundances. Our approach provides a method to determine
the contribution of each process to the production of elements such as Sr, Zr,
Ba, and Eu. We explore the observed star-to-star abundance scatter as a
function of metallicity that each process leads to. Moreover, we use the
deduced abundance pattern of one of the nucleosynthesis components to constrain
the astrophysical conditions of neutrino-driven winds from core-collapse
supernovae.Comment: 13 pages, published in Ap
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