DOI QR코드

DOI QR Code

FASTSOUND: PROBING THE ORIGIN OF COSMIC ACCELERATION BY GALAXY CLUSTERING AT z ~ 1.3 WITH SUBARU/FMOS

  • TOTANI, TOMONORI (Department of Astronomy, Graduate School of Science, the University of Tokyo)
  • Received : 2014.11.30
  • Accepted : 2015.06.30
  • Published : 2015.09.30

Abstract

The FastSound project is a galaxy redshift survey using Subaru/FMOS to detect $H{\alpha}$ emitting galaxies at z ~ 1:3, for the purpose of probing the origin of the accelerated expansion of the universe. The survey has detected ~4,000 galaxy redshifts in a total area of $30deg^2$, and detected the redshift space distortion at this redshift range for the first time. The redshift space distortion (RSD) signal will be used to derive a measurement of the growth rate of large scale structure, which will provide a test for modified gravity as a possible origin of accelerated cosmic explansion. Here we present an overview and the current status of the project.

Keywords

References

  1. Adams, J. J., Blanc, G. A., & Hill, G. J., et al., 2011, The HETDEX Pilot Survey. I. Survey Design, Performance, and Catalog of Emission-line Galaxies, ApJS, 192, 5 https://doi.org/10.1088/0067-0049/192/1/5
  2. Beutler, F., et al., 2012, The 6dF Galaxy Survey: z 0 mea-surements of the growth rate and 8, MNRAS, 423, 3430 https://doi.org/10.1111/j.1365-2966.2012.21136.x
  3. Blake, C., Brough, S., Colless, M., et al., 2011, The WiggleZ Dark Energy Survey: the Growth Rate of Cosmic Structure Since Redshift z=0.9, MNRAS, 415, 2876 https://doi.org/10.1111/j.1365-2966.2011.18903.x
  4. Caldwell, R. R. & Kamionkowski, M., 2009, The Physics of Cosmic Acceleration, ARNPS, 59, 397
  5. de la Torre, S., et al., 2013, The VIMOS Public Extragalactic Redshift Survey (VIPERS). Galaxy Clustering and Redshift-space Distortions at z=0.8 in the First Data Release, arXiv, 1303, 2622
  6. Frieman, J. A., Turner, M. S., & Huterer, D., 2008, Dark Energy and the Accelerating Universe, ARA&A, 46, 385 https://doi.org/10.1146/annurev.astro.46.060407.145243
  7. Geach, J. E., Smail, I., & Best, P. N., et al., 2008, HiZELS:a High-redshift Survey of H Emitters - I. The Cosmic Star Formation Rate and Clustering at z = 2.23, MNRAS, 388, 1473 https://doi.org/10.1111/j.1365-2966.2008.13481.x
  8. Guzzo, L., Pierleoni, M., & Meneux, B., et al., 2008, A Test of the Nature of Cosmic Acceleration Using Galaxy Redshift Distortions, Nature, 451, 541 https://doi.org/10.1038/nature06555
  9. Hamilton, A. J. S., 1998, Linear Redshift Distortions: a Review, The Evolving Universe, 231, 185 https://doi.org/10.1007/978-94-011-4960-0_17
  10. Hopkins, A. M., 2004, ApJ, On the Evolution of Star-forming Galaxies, 615, 209 https://doi.org/10.1086/424032
  11. Linder, E. V., 2005, Cosmic Growth History and Expansion History, PhRvD, 72, 3529
  12. Percival, W. J., Burkey, D., & Heavens, A., et al., 2004, The 2dF Galaxy Redshift Survey: Spherical Harmonics Analysis of Fluctuations in the Final Catalogue, MNRAS, 353, 1201 https://doi.org/10.1111/j.1365-2966.2004.08146.x
  13. Reid, B. A., Samushia, L., & White, M., et al., 2012, The Clustering of Galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: Measurements of the Growth of Structure and Expansion Rate at z = 0.57 from Anisotropic Clustering, MNRAS, 426, 2719 https://doi.org/10.1111/j.1365-2966.2012.21779.x
  14. Samushia, L., Percival, W. J., & Raccanelli, A., 2012, Interpreting Large-scale Redshift-space Distortion Measurements, MNRAS, 420, 2102 https://doi.org/10.1111/j.1365-2966.2011.20169.x
  15. Song, Y.-S. & Percival, W. J., 2009, Reconstructing the History of Structure Formation Using Redshift Distortions, JCAP, 10, 004
  16. Tonegawa, M., Totani, T., & Akiyama, M., et al., 2014a, A Study of Selection Methods for H-emitting Galaxies at z 1.3 for the Subaru/FMOS Galaxy Redshift Survey for Cosmology (FastSound), PASJ, 66, 43 https://doi.org/10.1093/pasj/psu022
  17. Tonegawa, M., Totani, T., & Iwamuro, F., et al., 2014b, FIELD: Automated Emission Line Detection Software for Subaru/FMOS Near-Infrared Spectroscopy, arXiv:1405.6198
  18. White, M., Song, Y.-S., & Percival, W. J., 2009, Forecasting Cosmological Constraints from Redshift Surveys, MNRAS, 397, 1348 https://doi.org/10.1111/j.1365-2966.2008.14379.x