2001
DOI: 10.1086/323216
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On the Normalization of the QSO Lyα Forest Power Spectrum

Abstract: The calculation of the transmission power spectrum of QSO's Lyα absorption requires two parameters for the normalization: the continuum F c and mean transmission e −τ . Traditionally, the continuum is obtained by a polynomial fitting truncating it at a lower order, and the mean transmission is calculated over the entire wavelength range considered. The flux F is then normalized by F c e −τ . However, the fluctuations in the transmitted flux are significantly correlated with the local background flux on scales … Show more

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Cited by 12 publications
(16 citation statements)
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“…P u j is the power spectrum of the transmitted flux fluctuations ∆F = F − F . In Paper I, or Jamkhedkar, Bi & Fang (2001), and Yang et al (2001a), the power spectrum P u j differs from eq. (20) and (21) by a noise term.…”
Section: The Intermittent Exponent In the Dwt Basismentioning
confidence: 94%
“…P u j is the power spectrum of the transmitted flux fluctuations ∆F = F − F . In Paper I, or Jamkhedkar, Bi & Fang (2001), and Yang et al (2001a), the power spectrum P u j differs from eq. (20) and (21) by a noise term.…”
Section: The Intermittent Exponent In the Dwt Basismentioning
confidence: 94%
“…Because the variable δτ r is given by the difference between τ( x + r ) and τ( x ), δτ r is independent of fluctuations of τ( x ) on scales larger than r . Therefore, the variable δτ r is actually insensitive to the continuum used in the data reduction (Jamkhedkar, Bi & Fang 2001).…”
Section: Log‐poisson Non‐gaussianity Of Observed Samplesmentioning
confidence: 99%
“…Moreover, the real data of He are highly noisy; for some pixels, the S/ N is lower than 1, and some pixels have negative flux. To eliminate the effect of these pixels on the power spectrum calculation, we should use the algorithm of denoising or conditional counting as in Paper I ( Donoho 1995;Jamkhedkar et al 2001).…”
Section: Power Spectrummentioning
confidence: 99%