2019
DOI: 10.1051/0004-6361/201935288
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The stellar host in star-forming low-mass galaxies: Evidence for two classes

Abstract: Context. The morphological evolution of star-forming galaxies provides important clues to understand their physical properties, as well as the triggering and quenching mechanisms of star formation. Aims. We analyze the morphology of galaxies hosting star-forming events at low redshift (z < 0.36). We aim at connecting morphology and star-formation properties of low-mass galaxies (median stellar mass ∼ 10 8.5 M ) beyond the local Universe. Methods. We use a sample of medium-band selected star-forming galaxies fr… Show more

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Cited by 3 publications
(3 citation statements)
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References 89 publications
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“…In general cases, galaxies have been found to be more compact and smaller at longer wavelengths. For early-type galaxies or classical bulges observed through optical-NIR channels (approximately from u-K s bands), the Sérsic index increases with wavelength, but the variations are shallow or flat (n ∼ 3-4; Kelvin et al 2012;Vika et al 2013;Vulcani et al 2014;Lange et al 2015;Marian et al 2018;Lima-Dias et al 2021); in the same wavelength range, late-type galaxies or disks appears invariable in concentration level (commonly with the Sérsic index n ∼ 1; Kelvin et al 2012;Vulcani et al 2014;Lumbreras-Calle et al 2019;Lima-Dias et al 2021). When observed at UV bands (λ < 3000 Å), earlytype galaxies or classical bulges appear with lower values for the Sérsic index (n ∼ 2-3; Rampazzo et al 2017;Leahy et al 2023).…”
Section: Comparison With Other Workmentioning
confidence: 99%
“…In general cases, galaxies have been found to be more compact and smaller at longer wavelengths. For early-type galaxies or classical bulges observed through optical-NIR channels (approximately from u-K s bands), the Sérsic index increases with wavelength, but the variations are shallow or flat (n ∼ 3-4; Kelvin et al 2012;Vika et al 2013;Vulcani et al 2014;Lange et al 2015;Marian et al 2018;Lima-Dias et al 2021); in the same wavelength range, late-type galaxies or disks appears invariable in concentration level (commonly with the Sérsic index n ∼ 1; Kelvin et al 2012;Vulcani et al 2014;Lumbreras-Calle et al 2019;Lima-Dias et al 2021). When observed at UV bands (λ < 3000 Å), earlytype galaxies or classical bulges appear with lower values for the Sérsic index (n ∼ 2-3; Rampazzo et al 2017;Leahy et al 2023).…”
Section: Comparison With Other Workmentioning
confidence: 99%
“…In contrast, narrowband photometric surveys such as HiZELS (Best et al 2013;Sobral et al 2013;Matthee et al 2017), ALHAMBRA (Moles et al 2008;Molino et al 2014), DAWN (Coughlin et al 2018), J-PLUS (Cenarro et al 2019), S-PLUS (Mendes de Oliveira et al 2019), the Deep and UDeep layers driven by the Subaru Strategic Program with the Hyper Suprime-Cam (HSC-SSP) (Hayashi et al 2018(Hayashi et al , 2020, LAGER (Khostovan et al 2020), or SHARDS (Pérez-González et al 2013Lumbreras-Calle et al 2019), experience these effects to a lesser degree. In particular, narrowband photometric surveys are able to detect fainter objects than their spectroscopic counterpart at a fixed exposure time.…”
Section: Introductionmentioning
confidence: 99%
“…The emergence of medium-and narrow-band photometric surveys continuously covering a large wavelength range, such as the Subaru Cosmic Evolution Survey 20 (Subaru COS-MOS 20; Taniguchi et al 2015;Sobral et al 2018), the Advance Large Homogeneous Area Medium Band Redshift Astronomical (ALHAMBRA) survey (Moles et al 2008), the National Optical Astronomy Observatory (NOAO) Extremely Wide-Field Infrared Imager (NEWFIRM) Medium-Band Survey (NMBS; van Dokkum et al 2009), the Survey for High-z Absorption Red and Dead Sources (SHARDS; Pérez-González et al 2013), the Physics of the Accelerating Universe Survey (PAUS; Eriksen et al 2019), and the Javalambre-Physics of the Accelerating Universe Astrophysical Survey (J-PAS; Benitez et al 2014), is progressively changing this picture. Multi-band photometric surveys have reached high enough spectral resolution to first detect broad emission lines (Chaves-Montero et al 2017;Lumbreras-Calle et al 2019) and then detect narrow lines and approximately resolve the profile of broad lines (Alarcon et al 2021;Martínez-Solaeche et al 2021).…”
Section: Introductionmentioning
confidence: 99%