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相关论文: Recovering galaxy stellar population properties fr…

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(Abridged) In a recent work we explored the dependence of galaxy stellar population properties derived from broad-band spectral energy distribution fitting on the fitting parameters, e.g. SFHs, age grid, metallicity, IMF, dust reddening,…

宇宙学与河外天体物理 · 物理学 2015-06-16 Janine Pforr , Claudia Maraston , Chiara Tonini

Numerous high-$z$ galaxies have recently been observed with JWST, providing new insights into early galaxy evolution. Their physical properties are typically derived through spectral energy distribution (SED) fitting, but the reliability of…

星系天体物理 · 物理学 2026-02-25 Jiyoung Choe , Taysun Kimm , Harley Katz , Maxime Rey , Daniel Han , J. K. Jang , Joki Rosdahl

Fitting synthetic spectral energy distributions (SED) to the multi-band photometry of galaxies to derive their star formation rates (SFR), stellar masses, ages, etc. requires making a priori assumptions about their star formation histories…

宇宙学与河外天体物理 · 物理学 2015-05-18 C. Maraston , J. Pforr , A. Renzini , E. Daddi , M. Dickinson , A. Cimatti , C. Tonini

The estimated stellar masses of galaxies are widely used to characterize how the galaxy population evolves over cosmic time. If stellar masses can be estimated in a robust manner, free from any bias, global diagnostics such as the stellar…

宇宙学与河外天体物理 · 物理学 2015-06-15 P. D. Mitchell , C. G. Lacey , C. M. Baugh , S. Cole

We present a detailed analysis of our ability to determine stellar masses, ages, reddening and extinction values, and star formation rates of high-redshift galaxies by modeling broad-band SEDs with stellar population synthesis. In order to…

宇宙学与河外天体物理 · 物理学 2011-02-11 Stijn Wuyts , Marijn Franx , Thomas J. Cox , Lars Hernquist , Philip F. Hopkins , Brant E. Robertson , Pieter G. van Dokkum

The primary method for inferring the stellar mass ($M_*$) of a galaxy is through spectral energy distribution (SED) modeling. However, the technique rests on assumptions such as the galaxy star formation history and dust attenuation law…

星系天体物理 · 物理学 2020-11-24 Sidney Lower , Desika Narayanan , Joel Leja , Benjamin D. Johnson , Charlie Conroy , Romeel Davé

We present robust statistical estimates of the accuracy of early-type galaxy stellar masses derived from spectral energy distribution (SED) fitting as functions of various empirical and theoretical assumptions. Using large samples…

宇宙学与河外天体物理 · 物理学 2015-05-28 R. Swindle , R. R. Gal , F. La Barbera , R. R. de Carvalho

The stellar mass ($M_\star$) and the star-formation rate (SFR) are among the most important features that characterize galaxies. Measuring these fundamental properties accurately is critical for understanding the present state of galaxies,…

星系天体物理 · 物理学 2023-05-03 Konstantinos Kouroumpatzakis , Andreas Zezas , Elias Kyritsis , Samir Salim , Jiri Svoboda

We have fit the far-ultraviolet (FUV) to mid-infrared (MIR) spectral energy distributions (SEDs) for several nearby galaxies ($<$ 20 Mpc). Global, radial, and local photometric measurements are explored to better understand how SED-derived…

星系天体物理 · 物理学 2021-05-31 Madison V. Smith , L. van Zee , S. Salim , D. Dale , S. Staudaher , T. Wrock , A. Maben

We introduce the Dense Basis method for Spectral Energy Distribution (SED) fitting. It accurately recovers traditional SED parameters, including M$_*$, SFR and dust attenuation, and reveals previously inaccessible information about the…

星系天体物理 · 物理学 2017-04-12 Kartheik G. Iyer , Eric Gawiser

Using mock spectra based on Vazdekis/MILES library fitted within the wavelength region 3600-7350\AA, we analyze the bias and scatter on the resulting physical parameters induced by the choice of fitting algorithms and observational…

星系天体物理 · 物理学 2018-05-23 Junqiang Ge , Renbin Yan , Michele Cappellari , Shude Mao , Hongyu Li , Youjun Lu

The spectral energy distribution (SED) of galaxies is essential for deriving fundamental properties like stellar mass and star formation history (SFH). However, conventional methods, including both parametric and non-parametric approaches,…

We constrain the stellar population properties of a sample of 52 massive galaxies, with stellar mass log Ms>10.5, over the redshift range 0.5<z<2 by use of observer-frame optical and near-infrared slitless spectra from HST's ACS and WFC3…

Fitting the spectral energy distributions (SEDs) of galaxies is an almost universally used technique that has matured significantly in the last decade. Model predictions and fitting procedures have improved significantly over this time,…

宇宙学与河外天体物理 · 物理学 2015-05-19 C. J. Walcher , B. Groves , T. Budavari , D. Dale

We use empirical star formation histories (SFHs), measured from HST-based resolved star color-magnitude diagrams, as input into population synthesis codes to model the broadband spectral energy distributions (SEDs) of ~50 nearby dwarf…

The estimation of galaxy stellar masses depends on the assumed prior of the star-formation history (SFH) and spatial scale of the analysis (spatially resolved versus integrated scales). In this paper, we connect the prescription of the SFH…

星系天体物理 · 物理学 2023-10-31 Shweta Jain , Sandro Tacchella , Moein Mosleh

We fit model spectral energy distributions to each pixel in 67 nearby (<z>=0.0057) galaxies using broadband photometry from the Sloan Digital Sky Survey and GALEX. For each galaxy, we compare the stellar mass derived by summing the mass of…

星系天体物理 · 物理学 2015-07-15 Robert Sorba , Marcin Sawicki

Local galaxies follow scaling relations between mass and stellar population properties such as age and metallicity, which encode key information on their evolutionary histories. We revise these relations using the largest spectroscopic…

星系天体物理 · 物理学 2025-11-05 D. Mattolini , S. Zibetti , A. R. Gallazzi , L. Scholz-Diaz , J. Pratesi

Robust inference of galaxy stellar masses from photometry is crucial for constraints on galaxy assembly across cosmic time. Here, we test a commonly-used Spectral Energy Distribution (SED) fitting code, using simulated galaxies from the…

星系天体物理 · 物理学 2024-12-04 R. K. Cochrane , H. Katz , R. Begley , C. C. Hayward , P. N. Best
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