Now showing items 1-3 of 3

    • ALMA Deep Field in SSA22: A Concentration of Dusty Starbursts in a z = 3.09 Protocluster Core 

      Umehata, H.; Tamura, Y.; Kohno, K.; Ivison, R.~J.; Alexander, D.~M.; Geach, J.~E.; Hatsukade, B.; Hughes, D.~H.; Ikarashi, S.; Kato, Y.; Izumi, T.; Kawabe, R.; Kubo, M.; Lee, M.; Lehmer, B.; Makiya, R.; Matsuda, Y.; Nakanishi, K.; Saito, T.; Smail, I.; Yamada, T.; Yamaguchi, Y.; Yun, M. (2015-12-04)
      We report the results of 1farcm5 × 3' mapping at 1.1 mm with the Atacama Large Millimeter/submillimeter Array toward the central region of the z = 3.09 SSA22 protocluster. By combining our source catalog with archival ...
    • Herschel protocluster survey : A search for dusty star-forming galaxies in protoclusters at z = 2-3 

      Kato, Y.; Matsuda, Y.; Smail, Ian; Swinbank, A. M.; Hatsukade, B.; Umehata, H.; Tanaka, I.; Saito, T.; Iono, D.; Tamura, Y.; Kohno, K.; Erb, D. K.; Lehmer, B. D.; Geach, J. E.; Steidel, C. C.; Alexander, D. M.; Yamada, T.; Hayashino, T. (2016-08-21)
      We present a Herschel/Spectral and Photometric Imaging Receiver (SPIRE) survey of three protoclusters at z = 2-3 (2QZCluster, HS1700, SSA22). Based on the SPIRE colours (S350/S250 and S500/S350) of 250 μm sources, we ...
    • Multi-wavelength properties of radio and machine-learning identified counterparts to submillimeter sources in S2COSMOS 

      An, FangXia; Simpson, J. M.; Smail, Ian; Swinbank, A. M.; Ma, Cong; Liu, Daizhong; Lang, P.; Schinnerer, E.; Karim, A.; Magnelli, B.; Leslie, S.; Bertoldi, F.; Chen, Chian-Chou; Geach, J. E.; Matsuda, Y.; Stach, S. M.; Wardlow, J. L.; Gullberg, B.; Ivison, R. J.; Ao, Y.; Coogan, R. T.; Thomson, A. P.; Chapman, S. C.; Wang, R.; Wang, Wei-Hao; Yang, Y.; Asquith, R.; Bourne, N.; Coppin, K.; Hine, N. K.; Ho, L. C.; Hwang, H. S.; Kato, Y.; Lacaille, K.; Lewis, A. J. R.; Oteo, I.; Scholtz, J.; Sawicki, M.; Smith, D. (2019-11-20)
      We identify multi-wavelength counterparts to 1,147 submillimeter sources from the S2COSMOS SCUBA-2 survey of the COSMOS field by employing a recently developed radio$+$machine-learning method trained on a large sample of ...