4.7 Article

THE ELLIPTICITY DISTRIBUTION OF AMBIGUOUSLY BLENDED OBJECTS

期刊

ASTROPHYSICAL JOURNAL
卷 816, 期 1, 页码 -

出版社

IOP PUBLISHING LTD
DOI: 10.3847/0004-637X/816/1/11

关键词

cosmology: miscellaneous; galaxies: general; gravitational lensing: weak

资金

  1. U.S. DOE, LLNL [DE-AC52-07NA27344]
  2. NSF [AST-1108893]
  3. DOE [DE-SC0009999]
  4. NASA through a grant from STScI [GO-12377]
  5. NASA [NAS5-26555]

向作者/读者索取更多资源

Using overlapping fields with space-based Hubble Space Telescope and ground-based Subaru Telescope imaging we identify a population of blended galaxies that are blended to such a large degree that they are detected as single objects in the ground-based monochromatic imaging, which we label ambiguous blends. For deep imaging data, such as the depth targeted with the Large Synoptic Survey Telescope (LSST), the ambiguous blend population is both large (similar to 14%) and has a distribution of ellipticities that is different from that of unblended objects in a way that will likely be important for weak lensing measurements. Most notably, for a limiting magnitude of i similar to 27 we find that ambiguous blending results in a similar to 14% increase in shear noise (or an similar to 12% decrease in the effective projected number density of lensed galaxies; n(eff)) due to (1) larger intrinsic ellipticity dispersion, and (2) a scaling with the galaxy number density N-gal that is shallower than 1/root N-gal. For the LSST Gold Sample (i < 25.3) there is a similar to 7% increase in shear noise (or similar to 7% decrease in n(eff)). More importantly than these increases in the shear noise, we find that the ellipticity distribution of ambiguous blends has an rms that is 13% larger than that of non-blended galaxies. Given the need of future weak lensing surveys to constrain the ellipticity distribution of galaxies to better than a percent in order to mitigate cosmic shear multiplicative biases, if it is unaccounted for, the different ellipticity distribution of ambiguous blends could be a dominant systematic.

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