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Weitere Publikationen von Autoren mit dem selben Namen

3D Distribution Map of HI Gas and Galaxies Around an Enormous Ly$\alpha$ Nebula and Three QSOs at $z=2.3$ Revealed by the HI Tomographic Mapping Technique, , , , , , , , , und 15 andere Autor(en). (2019)cite arxiv:1910.02962Comment: 14 pages, 7 figures, submitted to ApJ.Spectral Evolution in High Redshift Quasars from the Final BOSS Sample, , , , , , , , , und 10 andere Autor(en). (2016)cite arxiv:1611.08884Comment: 15 pages, 11 figures, to be published in ApJ.The Sloan Digital Sky Survey quasar catalog: ninth data release, , , , , , , , , und 66 andere Autor(en). (2012)cite arxiv:1210.5166Comment: Accepted for publication in A&A, Catalog available online at http://www.sdss3.org/dr9/algorithms/qso_catalog.php.IGM Constraints from the SDSS-III/BOSS DR9 Ly-alpha Forest Flux Probability Distribution Function, , , , , , , , , und 6 andere Autor(en). (2014)cite arxiv:1405.1072Comment: 34 pages, 25 figures. To be submitted to ApJ.Probing Feedback via IGM tomography and Ly$\alpha$ forest with Subaru PFS, TMT/ELT, & JWST, , , , , , , , , und 1 andere Autor(en). (2020)cite arxiv:2007.14253Comment: 19 pages, 12 figures, submitted.The SDSS-III Baryon Oscillation Spectroscopic Survey: The Quasar Luminosity Function from Data Release Nine, , , , , , , , , und 32 andere Autor(en). (2012)cite arxiv:1210.6389Comment: 28 pages, 19 figures, 9 tables. Submitted to The ApJ. All the necessary data and code used herein will be made publicly available at http://www.sdss3.org/dr9/qlf.Lyman-alpha Forest Tomography from Background Galaxies: The First Megaparsec-Resolution Large-Scale Structure Map at z>2, , , , , , , , , und 14 andere Autor(en). (2014)cite arxiv:1409.5632Comment: Accepted for publication in Astrophysical Journal Letters; 8 pages and 5 figures.The Discovery of a Gravitationally Lensed Supernova Ia at Redshift 2.22, , , , , , , , , und 25 andere Autor(en). (2017)cite arxiv:1707.04606Comment: Submitted to ApJ.Shadow of a Colossus: A z=2.45 Galaxy Protocluster Detected in 3D Ly-a Forest Tomographic Mapping of the COSMOS Field, , , , , , , , , und 3 andere Autor(en). (2015)cite arxiv:1509.02833Comment: To be submitted to ApJ. Figure 3 can be viewed on Youtube: https://youtu.be/KeW1UJOPMYI.Supervised machine learning-based classification of oral malodor based on the microbiota in saliva samples., , , , , , , , und . Artif. Intell. Medicine, 60 (2): 97-101 (2014)