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相关论文: Parametrising Star Formation Histories

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Accurate estimates of fundamental physical properties of galaxies, such as star formation rates (SFRs) or stellar masses, are essential for testing and constraining models of galaxy formation and evolution. Spectral energy distribution…

This analysis uses spectra of ~16,000 nearby SDSS quiescent galaxies to track variations in galaxy star formation histories along and perpendicular to the Fundamental Plane (FP). We sort galaxies by their FP properties (sigma, R_e, and I_e)…

宇宙学与河外天体物理 · 物理学 2011-02-11 Genevieve J. Graves , S. M. Faber , Ricardo P. Schiavon

We present a new tool for the photometric estimate of stellar masses in distant galaxies. The observed SEDs are fitted by combining single stellar populations, with different SFRs and amounts of dust extinction. This approach gives us the…

天体物理学 · 物理学 2009-11-10 Stefano Berta , Jacopo Fritz , Alberto Franceschini , Alessandro Bressan , Carol Lonsdale

We present a star-formation rate calibration based on optical data that is consistent with average observed rates in both the red and blue galaxy populations at z~1. The motivation for this study is to calculate SFRs for DEEP2 Redshift…

宇宙学与河外天体物理 · 物理学 2015-03-19 Nick Mostek , Alison L. Coil , John Moustakas , Samir Salim , Benjamin J. Weiner

We analyze the star formation history (SFH) of galaxies as a function of present-day environment, galaxy stellar mass and morphology. The SFH is derived by means of a non-parametric spectrophotometric model applied to individual galaxies at…

To achieve a fuller understanding of galaxy evolution, SED fitting can be used to recover quantities beyond stellar masses (M$_*$) and star formation rates (SFRs). We use Star Formation Histories (SFHs) reconstructed via the Dense Basis…

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

The prevalent paradigm of machine learning today is to use past observations to predict future ones. What if, however, we are interested in knowing the past given the present? This situation is indeed one that astronomers must contend with…

星系天体物理 · 物理学 2024-07-04 Sankalp Gilda , Antoine de Mathelin , Sabine Bellstedt , Guillaume Richard

Stellar masses play a crucial role in the exploration of galaxy properties and the evolution of the galaxy population. In this paper, we explore the minimum possible uncertainties in stellar mass-to-light (M/L) ratios from the assumed star…

宇宙学与河外天体物理 · 物理学 2014-11-20 Anna Gallazzi , Eric F. Bell

We use the \textsc{astraeus} framework, that couples an N-body simulation with a semi-analytic model for galaxy formation and a semi-numerical model for reionization, to quantify the star formation histories (SFHs) of galaxies in the first…

星系天体物理 · 物理学 2021-11-03 Laurent Legrand , Anne Hutter , Pratika Dayal , Graziano Ucci , Stefan Gottlöber , Gustavo Yepes

To investigate the variability of the star formation rate (SFR) of galaxies, we define a star formation change parameter, SFR$_{\rm 5Myr}$/SFR$_{\rm 800Myr}$ which is the ratio of the SFR averaged within the last 5 Myr to the SFR averaged…

星系天体物理 · 物理学 2020-04-08 Enci Wang , Simon J. Lilly

Infrared (IR) luminosity of galaxies originating from dust emission can be used as an indicator of the star formation rate (SFR). Inoue et al. (2000, IHK) have derived a formula for the conversion from IR luminosity to SFR by using the…

天体物理学 · 物理学 2009-11-10 Hiroyuki Hirashita , Veronique Buat , Akio K. Inoue

(Abridged) By means of high-resolution cosmological simulations in the context of the LCDM scenario, the specific star formation rate (SSFR=SFR/Ms, Ms is the stellar mass)--Ms and stellar mass fraction (Fs=Ms/Mh, Mh is the halo mass)--Ms…

宇宙学与河外天体物理 · 物理学 2015-05-27 V. Avila-Reese , P. Colín , A. González-Samaniego , O. Valenzuela , C. Firmani , H. Velázquez , D. Ceverino

The remarkably tight relationship between galaxy optical color and stellar mass-to-light ratio ($M_*/L$) is widely used for efficient stellar mass estimates. However, it remains unclear whether this low scatter comes from a natural order in…

星系天体物理 · 物理学 2023-01-10 Yijia Li , Joel Leja

The galaxy integrated star-formation rate (SFR) surface density ($\Sigma_{\rm SFR}$) has been proposed as a valuable diagnostic of the mass accumulation in galaxies as being more tightly related to the physics of star-formation (SF) and…

The epoch when low-mass star forming galaxies (LMSFGs) form the bulk of their stellar mass is uncertain. While some models predict an early formation, others favor a delayed scenario until later ages of the universe. We present constraints…

A series of population models are designed to explore the star formation history of gas-rich, low surface brightness (LSB) galaxies. LSB galaxies are unique in having properties of very blue colors, low H$\alpha$ emission and high gas…

星系天体物理 · 物理学 2015-06-22 James Schombert , Stacy McGaugh

With the advent of several galaxy surveys targeting star-forming galaxies, it is important to have models capable of interpreting their spatial distribution in terms of astrophysical and cosmological parameters. To address this need, we…

宇宙学与河外天体物理 · 物理学 2024-09-04 Sara Ortega-Martinez , Sergio Contreras , Raul Angulo

We trace the specific star formation rate (sSFR) of massive star-forming galaxies ($\gtrsim\!10^{10}\,\mathcal{M}_\odot$) from $z\sim2$ to 7. Our method is substantially different from previous analyses, as it does not rely on direct…

星系天体物理 · 物理学 2018-01-31 Iary Davidzon , Olivier Ilbert , Andreas L. Faisst , Martin Sparre , Peter L. Capak

Context. Measuring star formation across the Universe is key to constrain models of galaxy formation and evolution. Yet, determining the SFR (star formation rate) of galaxies remains a challenge. Aims. In this paper we investigate in…

星系天体物理 · 物理学 2014-11-19 Mederic Boquien , Veronique Buat , Valentin Perret