11 research outputs found

    The star formation rates of QSOs

    Get PDF
    We examine the far-IR properties of a sample of 5391 optically selected QSOs in the 0.5 44.7, using SPIRE data from Herschel-ATLAS. We split the sample in a grid of 74 luminosity-redshift bins and compute the average opticalā€“infrared spectral energy distribution (SED) in each bin. By normalising an intrinsic AGN template to the AGN optical power (at 5100ĖšA) we decompose the total infrared emission (LIR; 8ā€”1000Āµm) into an AGN (LIR,AGN) and star-forming component (LIR,SF). We find that the AGN contribution to LIR increases as a function of AGN power which manifests as a reduction of the ā€˜far-IR bumpā€™ in the average QSO SEDs. We note that LIR,SF does not correlate with AGN power; the mean star formation rates (SFRs) of AGN host galaxies are a function of redshift only and they range from āˆ¼6 MāŠ™/yr at z āˆ¼ 0 to a plateau of . 200 MāŠ™/yr at z āˆ¼ 2.6

    Constraining stellar population parameters from narrow band photometric surveys using convolutional neural networks

    Get PDF
    Upcoming large-area narrow band photometric surveys, such as J-PAS, will enable us to observe a large number of galaxies simultaneously and efficiently. However, it will be challenging to analyse the spatially-resolved stellar populations of galaxies from such big data to investigate galaxy formation and evolutionary history. We have applied a convolutional neural network (CNN) technique, which is known to be computationally inexpensive once it is trained, to retrieve the metallicity and age from J-PAS-like narrow band images. The CNN was trained using mock J-PAS data created from the CALIFA IFU survey and the age and metallicity at each data point, which are derived using full spectral fitting to the CALIFA spectra. We demonstrate that our CNN model can consistently recover age and metallicity from each J-PAS-like spectral energy distribution. The radial gradients of the age and metallicity for galaxies are also recovered accurately, irrespective of their morphology. However, it is demonstrated that the diversity of the dataset used to train the neural networks has a dramatic effect on the recovery of galactic stellar population parameters. Hence, future applications of CNNs to constrain stellar populations will rely on the availability of quality spectroscopic data from samples covering a wide range of population parameters.Comment: 9 pages, 10 figures, 2 tables. Accepted by MNRA

    A Population of Dust-rich Quasars at z ~ 1.5

    Get PDF
    We report Herschel SPIRE (250, 350, and 500 Ī¼m) detections of 32 quasars with redshifts 0.5 ā‰¤z < 3.6 from the Herschel Multi-tiered Extragalactic Survey (HerMES). These sources are from a MIPS 24 Ī¼m flux-limited sample of 326 quasars in the Lockman Hole Field. The extensive multi-wavelength data available in the field permit construction of the rest-frame spectral energy distributions (SEDs) from ultraviolet to the mid-infrared for all sources, and to the far-infrared (FIR) for the 32 objects. Most quasars with Herschel FIR detections show dust temperatures in the range of 25-60 K, with a mean of 34 K. The FIR luminosities range from 10^(11.3) to 10^(13.5) L_ā˜‰, qualifying most of their hosts as ultra- or hyper-luminous infrared galaxies. These FIR-detected quasars may represent a dust-rich population, but with lower redshifts and fainter luminosities than quasars observed at ~1 mm. However, their FIR properties cannot be predicted from shorter wavelengths (0.3-20 Ī¼m, rest frame), and the bolometric luminosities derived using the 5100 ƅ index may be underestimated for these FIR-detected quasars. Regardless of redshift, we observed a decline in the relative strength of FIR luminosities for quasars with higher near-infrared luminosities

    The complex physics of dusty star-forming galaxies at high redshifts as revealed by Herschel and Spitzer

    Get PDF
    We combine far-infrared photometry from Herschel (PEP/HerMES) with deep mid-infrared spectroscopy from Spitzer to investigate the nature and the mass assembly history of a sample of 31 luminous and ultraluminous infrared galaxies ((U)LIRGs) at z āˆ¼ 1 and 2 selected in GOODS-S with 24Ī¼m fluxes between 0.2 and 0.5 mJy.We model the data with a self-consistent physical model (GRASIL) which includes a state-of-the-art treatment of dust extinction and reprocessing. We find that all of our galaxies appear to require massive populations of old (>1 Gyr) stars and, at the same time, to host a moderate ongoing activity of star formation (SFR 100M yrāˆ’1). The bulk of the stars appear to have been formed a few Gyr before the observation in essentially all cases. Only five galaxies of the sample require a recent starburst superimposed on a quiescent star formation history.We also find discrepancies between our results and those based on optical-only spectral energy distribution (SED) fitting for the same objects; by fitting their observed SEDs with our physical model we find higher extinctions (by Ī”AV āˆ¼ 0.81 and 1.14) and higher stellar masses (by Ī”log(M ) āˆ¼ 0.16 and 0.36 dex) for z āˆ¼ 1 and z āˆ¼ 2 (U)LIRGs, respectively. The stellar mass difference is larger for the most dust-obscured objects. We also find lower SFRs than those computed from LIR using the Kennicutt relation due to the significant contribution to the dust heating by intermediate-age stellar populations through ā€œcirrusā€ emission (āˆ¼73% and āˆ¼66% of the total LIR for z āˆ¼ 1 and z āˆ¼ 2 (U)LIRGs, respectively).Department of HE and Training approved lis

    Star formation rates in luminous quasars at 2 <z< 3

    Get PDF
    We investigate the relation between star formation rates (M Ė™ s MĖ™s ) and AGN properties in optically selected type 1 quasars at 2 < z < 3 using data from Herschel and the SDSS. We find that M Ė™ s MĖ™s remains approximately constant with redshift, at 300 Ā± 100ā€‰MāŠ™ā€‰yrāˆ’1. Conversely, M Ė™ s MĖ™s increases with AGN luminosity, up to a maximum of āˆ¼ 600ā€‰MāŠ™ā€‰yrāˆ’1, and with Cā€‰IV FWHM. In context with previous results, this is consistent with a relation between M Ė™ s MĖ™s and black hole accretion rate (M Ė™ bh MĖ™bh ) existing in only parts of the zāˆ’M Ė™ s āˆ’M Ė™ bh zāˆ’MĖ™sāˆ’MĖ™bh plane, dependent on the free gas fraction, the trigger for activity, and the processes that may quench star formation. The relations between M Ė™ s MĖ™s and both AGN luminosity and Cā€‰IV FWHM are consistent with star formation rates in quasars scaling with black hole mass, though we cannot rule out a separate relation with black hole accretion rate. Star formation rates are observed to decline with increasing Cā€‰IV equivalent width. This decline can be partially explained via the Baldwin effect, but may have an additional contribution from one or more of three factors; Mi is not a linear tracer of L2500, the Baldwin effect changes form at high AGN luminosities, and high Cā€‰IV EW values signpost a change in the relation between M Ė™ s MĖ™s and M Ė™ bh MĖ™bh . Finally, there is no strong relation between M Ė™ s MĖ™s and Eddington ratio, or the asymmetry of the Cā€‰IV line. The former suggests that star formation rates do not scale with how efficiently the black hole is accreting, while the latter is consistent with Cā€‰IV asymmetries arising from orientation effects

    The properties of obscured galaxies at z<~1

    No full text
    EThOS - Electronic Theses Online ServiceGBUnited Kingdo

    Bone Marrow Immune Microenvironment in Myelodysplastic Syndromes

    No full text
    The BM, the major hematopoietic organ in humans, consists of a pleiomorphic environment of cellular, extracellular, and bioactive compounds with continuous and complex interactions between them, leading to the formation of mature blood cells found in the peripheral circulation. Systemic and local inflammation in the BM elicit stress hematopoiesis and drive hematopoietic stem cells (HSCs) out of their quiescent state, as part of a protective pathophysiologic process. However, sustained chronic inflammation impairs HSC function, favors mutagenesis, and predisposes the development of hematologic malignancies, such as myelodysplastic syndromes (MDS). Apart from intrinsic cellular mechanisms, various extrinsic factors of the BM immune microenvironment (IME) emerge as potential determinants of disease initiation and evolution. In MDS, the IME is reprogrammed, initially to prevent the development, but ultimately to support and provide a survival advantage to the dysplastic clone. Specific cellular elements, such as myeloid-derived suppressor cells (MDSCs) are recruited to support and enhance clonal expansion. The immune-mediated inhibition of normal hematopoiesis contributes to peripheral cytopenias of MDS patients, while immunosuppression in late-stage MDS enables immune evasion and disease progression towards acute myeloid leukemia (AML). In this review, we aim to elucidate the role of the mediators of immune response in the initial pathogenesis of MDS and the evolution of the disease
    corecore