4.7 Article

ON MODELING AND MEASURING THE TEMPERATURE OF THE z ∼ 5 INTERGALACTIC MEDIUM

Journal

ASTROPHYSICAL JOURNAL
Volume 788, Issue 2, Pages -

Publisher

IOP PUBLISHING LTD
DOI: 10.1088/0004-637X/788/2/175

Keywords

cosmology: theory; intergalactic medium; large-scale structure of universe

Funding

  1. NASA [NNX12AC97G]
  2. NSF [AST-1109156]
  3. NASA [52441, NNX12AC97G] Funding Source: Federal RePORTER
  4. Direct For Mathematical & Physical Scien
  5. Division Of Astronomical Sciences [1109156] Funding Source: National Science Foundation

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The temperature of the low-density intergalactic medium (IGM) at high redshift is sensitive to the timing and nature of hydrogen and He II reionization, and can be measured from Lyman-alpha (Ly alpha) forest absorption spectra. Since the memory of intergalactic gas to heating during reionization gradually fades, measurements as close as possible to reionization are desirable. In addition, measuring the IGM temperature at sufficiently high redshifts should help to isolate the effects of hydrogen reionization since He II reionization starts later, at lower redshift. Motivated by this, we model the IGM temperature at z greater than or similar to 5 using semi-numeric models of patchy reionization. We construct mock Lya forest spectra from these models and consider their observable implications. We find that the small-scale structure in the Lya forest is sensitive to the temperature of the IGM even at redshifts where the average absorption in the forest is as high as 90%. We forecast the accuracy at which the z greater than or similar to 5 IGM temperature can be measured using existing samples of high resolution quasar spectra, and find that interesting constraints are possible. For example, an early reionization model in which reionization ends at z similar to 10 should be distinguishable-at high statistical significance-from a lower redshift model where reionization completes at z similar to 6. We discuss improvements to our modeling that may be required to robustly interpret future measurements.

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