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We seek to improve the accuracy of joint galaxy photometric redshift estimation and spectral energy distribution (SED) fitting. By simulating different sources of uncorrected systematic errors, we demonstrate that if the uncertainties on…

天体物理仪器与方法 · 物理学 2015-06-24 Viviana Acquaviva , Anand Raichoor , Eric Gawiser

A Bayesian approach to the determination of stellar distances from photometric and spectroscopic data is presented and tested both on pseudodata, designed to mimic data for stars observed by the RAVE survey, and on the real stars from the…

天体物理仪器与方法 · 物理学 2015-05-18 Benedict Burnett , James Binney

We test whether we can predict optical spectra from deep-field photometry of distant galaxies. Our goal is to perform a comparison in data space, highlighting the differences between predicted and observed spectra. The Large Early Galaxy…

Stellar metallicity strongly correlates with the presence of planets and their properties. To check for new correlations between stars and the existence of an orbiting planet, we determine precise stellar parameters for a sample of…

太阳与恒星天体物理 · 物理学 2015-05-20 Sérgio G. Sousa , Nuno C. Santos , Garik Israelian , C. Lovis , Michel Mayor , Pedro B. Silva , Stephane Udry

In this paper we investigate the power of spectral synthesis as a mean to estimate physical properties of galaxies. Spectral synthesis is nothing more than the decomposition of an observed spectrum in terms of a superposition of a base of…

天体物理学 · 物理学 2010-04-06 R. Cid Fernandes , A. Mateus , L. Sodre , G. Stasinska , J. M. Gomes

We present a photometric redshift (photo-$z$) estimation technique for galaxies in the P\lowercase{an}-STARRS1 (PS1) $3\pi $ survey. Specifically, we train and test a regression and a classification Random-Forest (RF) models using…

星系天体物理 · 物理学 2021-05-28 A. Baldeschi , M. Stroh , R. Margutti , T. Laskar , A. Miller

RR Lyrae stars are useful chemical tracers thanks to the empirical relationship between their heavy-element abundance and the shape of their light curves. However, the consistent and accurate calibration of this relation across multiple…

太阳与恒星天体物理 · 物理学 2022-05-31 István Dékány , Eva K. Grebel

We develop an automated spectral synthesis technique for the estimation of metallicities ([Fe/H]) and carbon abundances ([C/Fe]) for metal-poor stars, including carbon-enhanced metal-poor stars, for which other methods may prove…

太阳与恒星天体物理 · 物理学 2015-05-13 B. Marsteller , T. C. Beers , T. Sivarani , S. Rossi , V. Placco , G. R. Knapp , J. A. Johnson , S. Lucatello

Based on the Sloan Digital Sky Survey (SDSS), we develop a new monte-carlo based method to estimate the photometric metallicity distribution function (MDF) for stars in the Milky Way. Compared with other photometric calibration methods,…

星系天体物理 · 物理学 2016-07-27 Jiayin Gu , Cuihua Du , Yingjie jing , Wenbo Zuo

Measuring the physical properties of galaxies such as redshift frequently requires the use of Spectral Energy Distributions (SEDs). SED template sets are, however, often small in number and cover limited portions of photometric color space.…

天体物理仪器与方法 · 物理学 2017-12-13 J. Bryce Kalmbach , Andrew J. Connolly

A method is developed for fitting theoretically predicted astronomical spectra to an observed spectrum. Using a hierarchical Bayesian principle, the method takes both systematic and statistical measurement errors into account, which has not…

天体物理学 · 物理学 2008-11-26 Z. Shkedy , L. Decin , G. Molenberghs , C. Aerts

We determine photometric metal abundance estimates for individual main-sequence stars in the Virgo Overdensity (VOD), which covers almost 1000 deg^2 on the sky, based on a calibration of the metallicity sensitivity of stellar isochrones in…

Modern spectroscopic surveys can only target a small fraction of the vast amount of photometrically cataloged sources in wide-field surveys. Here, we report the development of a generative AI method capable of predicting optical galaxy…

In this paper we compare two different diagnostics for estimating stellar masses in early-type galaxies and we establish their level of reliability. In particular, we consider the well-studied sample of 15 field elliptical galaxies selected…

天体物理学 · 物理学 2009-11-13 C. Grillo , R. Gobat , P. Rosati , M. Lombardi

The Next Generation Space Telescope (NGST) will gather unprecedented spectro-photometric data on galaxies out to the highest redshifts. It is therefore crucial to identify the spectro-photometric diagnostics within reach of NGST, which will…

天体物理学 · 物理学 2009-09-25 S. Charlot

Photometric metallicity formulae of fundamental-mode RR Lyr (RRab) stars are presented using globular-cluster data exclusively. The aim is to check whether this selection may help increasing the overall accuracy of the fits and eliminating…

太阳与恒星天体物理 · 物理学 2023-08-21 Johanna Jurcsik , Gergely Hajdu

We use the calibrations by Calamida et al. and by Hilker et al., and the standardised synthetic photometry in the v, b, and y Stromgren passbands from Gaia DR3 BP/RP spectra, to obtain photometric metallicities for a selected sample of…

星系天体物理 · 物理学 2023-06-21 Bellazzini M. , Massari D. , De Angeli F. , Mucciarelli A. , Bragaglia. A , Riello M. , Montegriffo P.

Large direct-imaging surveys usually use a template-fitting technique to estimate photometric redshifts for galaxies, which are then applied to derive important galaxy properties such as luminosities and stellar masses. These estimates can…

星系天体物理 · 物理学 2015-06-22 B. C. Hsieh , H. K. C. Yee

There is a well known correlation between the mass and metallicity of star-forming galaxies. Because mass is correlated with luminosity, this relation is often exploited, when spectroscopy is not available, to estimate galaxy metallicities…

宇宙学与河外天体物理 · 物理学 2013-10-17 Nathan E. Sanders , Emily M. Levesque , Alicia M. Soderberg

Traditional photometric redshift methods use only color information about the objects in question to estimate their redshifts. This paper introduces a new method utilizing colors, luminosity, surface brightness, and radial light profile to…

天体物理学 · 物理学 2008-11-26 James J. Wray , James E. Gunn