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The bulk of the star-formation rate density peak at cosmic noon was obscured by dust. How accurately we can assess the role of dust obscured star-formation is affected by inherent biases in our empirical methods -- both those that rely on…

We analyze the dust attenuation properties of a volume-limited, optically-selected sample of normal star forming galaxies in nearby clusters as observed by GALEX. The internal attenuation is estimated using three independent indicators,…

天体物理学 · 物理学 2016-08-30 L. Cortese , A. Boselli , V. Buat , G. Gavazzi , S. Boissier , A. Gil de Paz , M. Seibert , B. F. Madore , D. C. Martin

We investigate the star formation and dust extinction properties of very luminous infrared galaxies whose spectra display a strong Hdelta line in absorption and a moderate [OII] emission (e[a] spectrum). This spectral combination has been…

天体物理学 · 物理学 2009-10-31 Bianca M. Poggianti , Alessandro Bressan , Alberto Franceschini

Far-ultraviolet (FUV) and far-infrared (FIR) luminosity functions (LFs) of galaxies show a strong evolution from $z = 0$ to $z = 1$, but the FIR LF evolves much stronger than the FUV one. The FUV is dominantly radiated from newly formed…

宇宙学与河外天体物理 · 物理学 2015-06-05 Tsutomu T. Takeuchi , Akane Sakurai , Fang-Ting Yuan , Veronique Buat , Denis Burgarella

Over the past decades, rest-frame ultraviolet (UV) observations have provided large samples of UV luminous galaxies at redshift (z) greater than 6, during the so-called epoch of reionization. While a few of these UV identified galaxies…

This paper examines what can be learned about high-redshift star formation from the small fraction of high-redshift galaxies' luminosities that is emitted at accessible wavelengths. We review and quantify empirical correlations between…

天体物理学 · 物理学 2011-02-11 K. L. Adelberger , C. C. Steidel

We present results from a decimetric radio survey undertaken with the Very Large Array as part of a longer term goal to inter-compare star formation and dust extinction diagnostics, on a galaxy by galaxy basis, for a representative sample…

天体物理学 · 物理学 2009-11-06 Mark Sullivan , Bahram Mobasher , Ben Chan , Lawrence Cram , Richard Ellis , Marie Treyer , Andrew Hopkins

The cosmic star formation rate density (CSFRD) has been observationally investigated out to redshift z~10. However, most of theoretical models for galaxy formation underpredict the CSFRD at z>1. Since the theoretical models reproduce the…

宇宙学与河外天体物理 · 物理学 2015-06-11 Masakazu A. R. Kobayashi , Yoshiyuki Inoue , Akio K. Inoue

We study the FIR and UV-visible properties of nearby star forming galaxies. This comparison is performed using the local luminosity functions at UV and FIR wavelengths and on individual starburst galaxies for which photometric data from UV…

天体物理学 · 物理学 2007-05-23 Veronique Buat , Denis Burgarella

One of the most remarkable outcomes from \textit{JWST} has been the exquisite UV-optical spectroscopic data for galaxies in the high-redshift Universe ($z \geq 5$), enabling the use of various nebular emission lines to infer conditions of…

We investigate if dust emission in the far-IR continuum provides a robust estimate of star formation rate (SFR) for a nearby, normal late-type galaxy. We focus on the ratio of the 40--1000 micron luminosity (L_dust) to the far-UV (0.165…

天体物理学 · 物理学 2009-11-10 D. Pierini , C. S. Moeller

We have used the Ultraviolet Imaging Telescope (UVIT) aboard AstroSat to study star formation in a sample of nine dual nuclei galaxies with separations ~11 kpc, which is an expected outcome of galaxy mergers. To minimize the contribution of…

星系天体物理 · 物理学 2024-02-06 K. Rubinur , M. Das , P. Kharb , J. Yadav , C. Mondal , P. T. Rahna

JWST observations of galaxies at $z\gtrsim 8$ suggest that they are more luminous and clumpier than predicted by most models, prompting several proposals on the physics of star formation and feedback in the first galaxies. In this paper, we…

星系天体物理 · 物理学 2024-11-15 Kazuyuki Sugimura , Massimo Ricotti , Jongwon Park , Fred Angelo Batan Garcia , Hidenobu Yajima

Star formation rates (SFR) are compared as determined from mid-infrared 7.7 um PAH luminosity [SFR(PAH)], from 1.4 GHz radio luminosity [SFR(radio)], and from far ultraviolet luminosity [SFR(UV)] for a sample of 287 starburst galaxies with…

宇宙学与河外天体物理 · 物理学 2011-02-11 Lusine A. Sargsyan , Daniel W. Weedman

Early results from the James Webb Space Telescope (JWST) observations have hinted at two traces beyond the standard cosmological framework. One is the extraordinarily high stellar masses and their density at $z=7.5\sim9.1$, another is the…

星系天体物理 · 物理学 2023-09-13 Yi-Ying Wang , Lei Lei , Guan-Wen Yuan , Yi-Zhong Fan

We study the star formation rate and dust extinction properties of a sample of nearby star forming galaxies as derived from Halpha and UV (2000 A) observations and we compare them to those of a sample of starburst galaxies. The dust…

天体物理学 · 物理学 2016-08-30 V. Buat , A. Boselli , G. Gavazzi , C. Bonfanti

The color of galaxies is a fundamental property, easily measured, that constrains models of galaxies and their evolution. Dust attenuation and star formation history (SFH) are the dominant factors affecting the color of galaxies. Here we…

We report the results of J-band infrared spectroscopy of a sample of 13 z=1 field galaxies drawn from the Canada-France Redshift Survey, targeting galaxies whose redshifts place the rest frame H-alpha line emission from HII regions in…

天体物理学 · 物理学 2009-10-30 Karl Glazebrook , Chris Blake , Frossie Economou , Simon Lilly , Matthew Colless

This work presents the main ultraviolet (UV) and far-infrared (FIR) properties of two samples of nearby galaxies selected from the GALEX ($\lambda = 2315$\AA, hereafter NUV) and IRAS ($\lambda = 60\mu$m) surveys respectively. They are built…

During the UIT/Astro Spacelab missions, the Ultraviolet Imaging Telescope obtained spatially resolved far-UV (lambda 1500 A) imagery of ~35 galaxies exhibiting recent massive star formation. The sample includes disk systems, irregular,…

天体物理学 · 物理学 2009-10-28 Michael N. Fanelli , Theodore P. Stecher , the UIT Science Team