• DocumentCode
    126661
  • Title

    Constraining the epoch of reionization with the variance statistic

  • Author

    Patil, Ajinkya H.

  • Author_Institution
    Kapteyn Astron. Inst., Univ. of Groningen, Groningen, Netherlands
  • fYear
    2014
  • fDate
    16-23 Aug. 2014
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    The Epoch of Reionization (EoR) is the epoch in which most of the neutral gas in the Universe was re-ionized by the radiation from the first stars and galaxies. Many projects are underway to detect the redshifted 21 cm signal of the neutral hydrogen from the EoR with the low frequency radio telescopes. These experiments aim for a statistical detection of the signal due to its very low signal-to-noise ratio. We study extraction of the sample variance of the signal to constrain the global properties of the EoR. We show that the LOw Frequency ARray (LOFAR) should be able to detect the signal with a significance of 3 standard deviations in 600 hours of integration. Additionally, it should be able to constrain the timing and duration of reionization with uncertainties of 0.4 and 1 redshifts, respectively, with 95 percent confidence. We also show the upper limits on the signal detection obtained from the analysis of 115 hours of the observed data with LOFAR. In the observed redshift range of 7 to 11, our current best upper limits are 25 mK at 1 MHz, 12 arcmin spectral and spatial resolutions, respectively.
  • Keywords
    ionisation; signal detection; statistical analysis; LOFAR; epoch of reionization; frequency 1 MHz; low frequency array; low frequency radio telescopes; neutral gas; neutral hydrogen; signal-to-noise ratio; spatial resolutions; spectral resolutions; statistical signal detection; time 115 hour; time 600 hour; variance statistic; Arrays; Brightness temperature; Calibration; Noise; Spatial resolution; Standards;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    General Assembly and Scientific Symposium (URSI GASS), 2014 XXXIth URSI
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/URSIGASS.2014.6930027
  • Filename
    6930027