333 research outputs found

    Four GRB supernovae at redshifts between 0.4 and 0.8. The bursts GRB 071112C, 111228A, 120714B, and 130831A

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    Twenty years ago, GRB 980425/SN 1998bw revealed that long gamma-ray bursts (GRBs) are physically associated with broad-lined type-Ic supernovae (SNe). Since then more than 1000 long GRBs have been localized to high angular precision, but only in ~50 cases has the underlying SN component been identified. Using the Gamma-Ray Burst Optical Near-Infrared Detector (GROND) multi-channel imager at ESO/La Silla, during the last ten years we have devoted a substantial amount of observing time to reveal and study SN components in long-GRB afterglows. Here we report on four more GRB SNe (associated with GRBs 071112C, 111228A, 120714B, and 130831A) which were discovered and/or followed-up with GROND and whose redshifts lie between z¿=¿0.4 and 0.8. We study their afterglow light curves, follow the associated SN bumps over several weeks, and characterize their host galaxies. Using SN 1998bw as a template, the derived SN explosion parameters are fully consistent with the corresponding properties of the currently known GRB-SN ensemble, with no evidence for an evolution of their properties as a function of redshift. In two cases (GRB 120714B/SN 2012eb at z¿=¿0.398 and GRB 130831A/SN 2013fu at z¿=¿0.479) additional Very Large Telescope (VLT) spectroscopy of the associated SNe revealed a photospheric expansion velocity at maximum light of about 40 000 and 20 000 km s¿1, respectively. For GRB 120714B, which was an intermediate-luminosity burst, we find additional evidence for a black-body component in the light of the optical transient at early times, similar to what has been detected in some GRB SNe at lower redshifts.© ESO 2019.S.K., Sebastian S., and A.N.G. acknowledge support by the Thuringer Ministerium fur Bildung, Wissenschaft und Kultur under FKZ 12010-514. S.K.,Sebastian S., A.N.G., and D.A.K. acknowledge support by grant DFG Kl 766/16-3. A.N.G., A.R., D.A.K., and A.U. are grateful for travel funding support through MPE Garching. A.R. acknowledges additional support by the Jenaer Graduiertenakademie, by TLS Tautenburg and DFG Kl/766 13-2. D.A.K. acknowledges support by TLS Tautenburg and MPE Garching, as well as support from the Spanish research project AYA 2014-58381-P and Juan de la Cierva Incorporacion IJCI-2015-26153. P.S. and T.K. acknowledges support through the Sofja Kovalevskaja Award to P.S. from the Alexander von Humboldt Foundation of Germany. R.F. acknowledges support from European Regional Development Fund-Project >Engineering applications of microworld physics> (No. CZ. 02.1.01/0.0/0.0/16 019/0000766). F.O.E. acknowledge support from the FONDECYT grant #11170953. Support for F.O.E. is provided by the Ministry of Economy, Development, and Tourism's Millennium Science Initiative through grant IC120009, awarded to The Millennium Institute of Astrophysics, MAS. The Cosmic Dawn center is funded by the DNRF. Part of the funding for GROND (both hardware and personnel) was generously granted by the LeibnizPrize to G. Hasinger (DFG grant HA 1850/28-1).Peer Reviewe

    Benchmark datasets for 3D MALDI- and DESI-imaging mass spectrometry

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    BACKGROUND: Three-dimensional (3D) imaging mass spectrometry (MS) is an analytical chemistry technique for the 3D molecular analysis of a tissue specimen, entire organ, or microbial colonies on an agar plate. 3D-imaging MS has unique advantages over existing 3D imaging techniques, offers novel perspectives for understanding the spatial organization of biological processes, and has growing potential to be introduced into routine use in both biology and medicine. Owing to the sheer quantity of data generated, the visualization, analysis, and interpretation of 3D imaging MS data remain a significant challenge. Bioinformatics research in this field is hampered by the lack of publicly available benchmark datasets needed to evaluate and compare algorithms. FINDINGS: High-quality 3D imaging MS datasets from different biological systems at several labs were acquired, supplied with overview images and scripts demonstrating how to read them, and deposited into MetaboLights, an open repository for metabolomics data. 3D imaging MS data were collected from five samples using two types of 3D imaging MS. 3D matrix-assisted laser desorption/ionization imaging (MALDI) MS data were collected from murine pancreas, murine kidney, human oral squamous cell carcinoma, and interacting microbial colonies cultured in Petri dishes. 3D desorption electrospray ionization (DESI) imaging MS data were collected from a human colorectal adenocarcinoma. CONCLUSIONS: With the aim to stimulate computational research in the field of computational 3D imaging MS, selected high-quality 3D imaging MS datasets are provided that could be used by algorithm developers as benchmark datasets

    SN 2009N: linking normal and subluminous Type II-P Sne

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    We present ultraviolet, optical, near-infrared photometry and spectroscopy of SN 2009N in NGC 4487. This object is a type II-P supernova with spectra resembling those of subluminous II-P supernovae, while its bolometric luminosity is similar to that of the intermediate luminosity SN 2008in. We created SYNOW models of the plateau phase spectra for line identification and to measure the expansion velocity. In the near-infrared spectra we find signs indicating possible weak interaction between the supernova ejecta and the pre-existing circumstellar material. These signs are also present in the previously unpublished near-infrared spectra of SN 2008in. The distance to SN 2009N is determined via the expanding photosphere method and the standard candle method as D=21.6±1.1MpcD= 21.6 \pm 1.1\,{\mathrm {Mpc}}. The produced nickel-mass is estimated to be 0.020±0.004M\sim 0.020 \pm 0.004\,{\mathrm M_\odot}. We infer the physical properties of the progenitor at the explosion through hydrodynamical modelling of the observables. We find the values of the total energy as 0.48×1051erg\sim 0.48 \times 10^{51}\, {\mathrm {erg}}, the ejected mass as 11.5M\sim 11.5\,{\mathrm M_\odot}, and the initial radius as 287R\sim 287\,{\mathrm R_\odot}.Comment: 23 pages, 18 figures, accepted for publication by MNRA
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