7 research outputs found

    The volume density of giant low surface brightness galaxies

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    Rare giant low surface brightness galaxies (gLSBGs) act as a stress test for the modern galaxy formation paradigm. To answer the question `How rare are they?' we estimate their volume density in the local Universe. A visual inspection of 120~sq.~deg. covered by deep Subaru Hyper Suprime-Cam data was performed independently by four team members. We detected 42 giant disky systems at z0.1z\leq0.1 with either gg-band 27.7~mag~arcsec2^{-2} isophotal radius or four disc scalelengths 4h504h \geq 50~kpc, 37 of which had low central surface brightness (μ0,g22.7\mu_{0,g}\ge 22.7 mag~arcsec2^{-2}). This corresponds to volume densities of 4.70×105\times 10^{-5} Mpc3^{-3} for all galaxies with giant extended discs and 4.04×105\times 10^{-5} Mpc3^{-3} for gLSBGs which converts to 11\sim 11 thousand such galaxies in the entire sky out to z<0.1z<0.1. These estimates agree well with the result of the EAGLE cosmological hydrodynamical simulation. Giant disky galaxies represent the large-size end of the volume density distribution of normal-sized spirals, suggesting the non-exceptional nature of giant discs. We observe a high active galactic nucleus fraction among the newly found gLSBGs. The result of the EAGLE simulation suggests that minor and major mergers are the dominant channels of gLSBG formation, and observed properties of newly found galaxies support this hypothesis

    The volume density of giant low surface brightness galaxies

    No full text
    Rare giant low surface brightness galaxies (gLSBGs) act as a stress test for the modern galaxy formation paradigm. To answer the question `How rare are they?' we estimate their volume density in the local Universe. A visual inspection of 120~sq.~deg. covered by deep Subaru Hyper Suprime-Cam data was performed independently by four team members. We detected 42 giant disky systems at z0.1z\leq0.1 with either gg-band 27.7~mag~arcsec2^{-2} isophotal radius or four disc scalelengths 4h504h \geq 50~kpc, 37 of which had low central surface brightness (μ0,g22.7\mu_{0,g}\ge 22.7 mag~arcsec2^{-2}). This corresponds to volume densities of 4.70×105\times 10^{-5} Mpc3^{-3} for all galaxies with giant extended discs and 4.04×105\times 10^{-5} Mpc3^{-3} for gLSBGs which converts to 11\sim 11 thousand such galaxies in the entire sky out to z<0.1z<0.1. These estimates agree well with the result of the EAGLE cosmological hydrodynamical simulation. Giant disky galaxies represent the large-size end of the volume density distribution of normal-sized spirals, suggesting the non-exceptional nature of giant discs. We observe a high active galactic nucleus fraction among the newly found gLSBGs. The result of the EAGLE simulation suggests that minor and major mergers are the dominant channels of gLSBG formation, and observed properties of newly found galaxies support this hypothesis

    The volume density of giant low surface brightness galaxies

    No full text
    Rare giant low surface brightness galaxies (gLSBGs) act as a stress test for the modern galaxy formation paradigm. To answer the question `How rare are they?' we estimate their volume density in the local Universe. A visual inspection of 120~sq.~deg. covered by deep Subaru Hyper Suprime-Cam data was performed independently by four team members. We detected 42 giant disky systems at z0.1z\leq0.1 with either gg-band 27.7~mag~arcsec2^{-2} isophotal radius or four disc scalelengths 4h504h \geq 50~kpc, 37 of which had low central surface brightness (μ0,g22.7\mu_{0,g}\ge 22.7 mag~arcsec2^{-2}). This corresponds to volume densities of 4.70×105\times 10^{-5} Mpc3^{-3} for all galaxies with giant extended discs and 4.04×105\times 10^{-5} Mpc3^{-3} for gLSBGs which converts to 11\sim 11 thousand such galaxies in the entire sky out to z<0.1z<0.1. These estimates agree well with the result of the EAGLE cosmological hydrodynamical simulation. Giant disky galaxies represent the large-size end of the volume density distribution of normal-sized spirals, suggesting the non-exceptional nature of giant discs. We observe a high active galactic nucleus fraction among the newly found gLSBGs. The result of the EAGLE simulation suggests that minor and major mergers are the dominant channels of gLSBG formation, and observed properties of newly found galaxies support this hypothesis

    New Generation Stellar Spectral Libraries in the Optical and Near-infrared. I. The Recalibrated UVES-POP Library for Stellar Population Synthesis

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    International audienceWe present reprocessed flux-calibrated spectra of 406 stars from the UVES-POP stellar library in the wavelength range 320–1025 nm, which can be used for stellar population synthesis. The spectra are provided in the two versions having spectral resolving power R = 20,000 and R = 80,000. Raw spectra from the ESO data archive were re-reduced using the latest version of the UVES data reduction pipeline with some additional algorithms that we developed. The most significant improvements in comparison with the original UVES-POP release are (i) an updated echelle order merging, which eliminates “ripples” present in the published spectra; (ii) a full telluric correction; (iii) merging of nonoverlapping UVES spectral setups taking into account the global continuum shape; (iv) a spectrophotometric correction and absolute flux calibration; and (v) estimates of the interstellar extinction. For 364 stars from our sample, we computed atmospheric parameters Teff_{eff}, surface gravity log g, metallicity [Fe/H], and α-element enhancement [α/Fe] by using a full-spectrum fitting technique based on a grid of synthetic stellar atmospheres and a novel minimization algorithm. We also provide projected rotational velocity and radial velocity vrad_{rad} estimates. The overall absolute flux uncertainty in the reprocessed data set is better than 2%, with subpercent accuracy for about half of the stars. A comparison of the recalibrated UVES-POP spectra with other spectral libraries shows a very good agreement in flux; at the same time, Gaia DR3 BP/RP spectra are often discrepant with our data, which we attribute to spectrophotometric calibration issues in Gaia DR3
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