2022
DOI: 10.3847/1538-4357/ac3b55
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Subgalactic Scaling Relations with T e-based Metallicities of Low-metallicity Regions in Galaxies: Metal-poor Gas Inflow May Have Important Effects?

Abstract: The scaling relationship is a fundamental probe of the evolution of galaxies. Using the integral field spectroscopic data from the Mapping Nearby Galaxies at Apache Point Observatory survey, we select 1698 spaxels with a significant detection of the auroral emission line [O iii]λ4363 from 52 galaxies to investigate the scaling relationships at the low-metallicity end. We find that our sample’s star formation rate is higher and its metallicity is lower in the scaling relationship than the star-forming sequence … Show more

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Cited by 5 publications
(8 citation statements)
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“…We adopted a process similar to that described by Yao et al (2022) in MaNGA to process these spectra. For each galaxy, we cut out a 40 × 40 datacube from the field it belongs to and performed spectral fitting for each spaxel.…”
Section: Spectral Fittingmentioning
confidence: 99%
See 1 more Smart Citation
“…We adopted a process similar to that described by Yao et al (2022) in MaNGA to process these spectra. For each galaxy, we cut out a 40 × 40 datacube from the field it belongs to and performed spectral fitting for each spaxel.…”
Section: Spectral Fittingmentioning
confidence: 99%
“…However, the [O iii]λ4363 auroral line is too weak to be observed. Only a few studies (Yao et al 2022) have used the low-redshift IFS survey, let alone the high redshift. Therefore, we used the strong-line calibration relation to calculate the abundance.…”
Section: Oxygen Abundancementioning
confidence: 99%
“…In this work, we adopt a similar process to Yao et al (2022) in MaNGA to process these spectra. For each galaxy, we cut out a 40×40 datacube from the field it belongs to and performs spectral fitting for each spaxel.…”
Section: Spectral Fittingmentioning
confidence: 99%
“…However, the [O iii]λ4363 auroral line is too weak to be observed. Only a few studies used (Yao et al 2022) the low redshift IFS survey, let alone the high redshift. Therefore, we use the strong-line calibration relation to calculate the abundance.…”
Section: Oxygen Abundancementioning
confidence: 99%
“…These methods are more objective than manual visual inspection and enable comparison between results from different researchers. In recent years, with the rapid evolution of computer technology, machine-learning algorithms for galaxy morphological classification and merger identification have been widely developed and utilized (e.g., Domínguez Sánchez et al 2018;Tang et al 2020;Yao et al 2022b;Fang et al 2023). At the same time, the powerful computing power has also facilitated a lot of galaxy morphological studies based on cosmological simulation (e.g., Snyder et al 2015;Bignone et al 2017;Rodriguez-Gomez et al 2019;Bignone et al 2020), which provides a direct way to link observed morphology with physical processes.…”
Section: Introductionmentioning
confidence: 99%