Joint modelling of the probability distribution function and power spectrum of the Lyα forest:: comparison with observations at z=3

被引:23
|
作者
Desjacques, V [1 ]
Nusser, A
机构
[1] Technion Israel Inst Technol, Dept Phys, IL-32000 Haifa, Israel
[2] Technion Israel Inst Technol, Asher Space Res Inst, IL-32000 Haifa, Israel
[3] Inst Adv Study, Sch Nat Sci, Princeton, NJ 08540 USA
关键词
gravitation; intergalactic medium; cosmology : observations; cosmology : theory; dark matter;
D O I
10.1111/j.1365-2966.2005.09254.x
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
We present results of joint modelling of the probability distribution function (PDF) and the one-dimensional power spectrum (PS) of the Ly alpha forest flux decrement. The sensitivity of these statistical measures to the shape and amplitude of the linear matter power spectrum is investigated using N-body simulations of two variants of the ACDM cosmology. In the first model, the linear power spectrum has a scale-invariant spectral index n(s) = 1, whereas in the second, it has a negative running spectral index (RSI), dn/d lnk < 0. We generate mock catalogues of quasi-stellar object (QSO) spectra, and compare their statistical properties to those of the observations at z = 3. We perform a joint fit of the PS and the PDR A scale-invariant model with sigma(8) = 0.9 matches the data well if the mean temperature of the intergalactic medium is T less than or similar to 1.5 x 10(4) K. For higher temperature, it tends to overestimate the flux PS over scales k less than or similar to 0.01 s km(-1). The discrepancy is less severe when the PS alone is fitted. However, models matching the PS alone do not yield a good fit to the PDF. A joint analysis of the flux PS and PDF tightens the constraints on the model parameters and reduces systematic biases. The RSI model is consistent with the observed PDF and PS only if the temperature is T 2 x 10(4) K. The best-fitting models reproduce the slope and normalization of the column density distribution, irrespective of the shape and amplitude of the linear power spectrum. They are also consistent with the observed linewidth distribution, given the large uncertainties. Our joint analysis suggests that sigma(8) is likely to be in the range 0.7-0.9 for a temperature 1 x 10(4) less than or similar to T less than or similar to x 10(4) K and a reasonable reionization history.
引用
收藏
页码:1257 / 1272
页数:16
相关论文
共 10 条
  • [1] The observed probability distribution function, power spectrum, and correlation function of the transmitted flux in the Lyα forest
    McDonald, P
    Miralda-Escudé, J
    Rauch, M
    Sargent, WLW
    Barlow, TA
    Cen, RY
    Ostriker, JP
    ASTROPHYSICAL JOURNAL, 2000, 543 (01): : 1 - 23
  • [2] Tightening constraints from the Lyα forest with the flux probability distribution function
    Lidz, A
    Heitmann, K
    Hui, L
    Habib, S
    Rauch, M
    Sargent, WLW
    ASTROPHYSICAL JOURNAL, 2006, 638 (01): : 27 - 44
  • [3] The Lyman α forest flux probability distribution at z &gt; 3
    Calura, F.
    Tescari, E.
    D'Odorico, V.
    Viel, M.
    Cristiani, S.
    Kim, T. -S.
    Bolton, J. S.
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2012, 422 (04) : 3019 - 3036
  • [4] The power spectrum of mass fluctuations measured from the Lyα forest at redshift z=2.5
    Croft, RAC
    Weinberg, DH
    Pettini, M
    Hernquist, L
    Katz, N
    ASTROPHYSICAL JOURNAL, 1999, 520 (01): : 1 - 23
  • [5] Constraining Reionization with the z ∼ 5-6 Lyα Forest Power Spectrum: The Outlook after Planck
    Onorbe, J.
    Hennawi, J. F.
    Lukic, Z.
    Walther, M.
    ASTROPHYSICAL JOURNAL, 2017, 847 (01):
  • [6] Joint Bayesian Estimation of Quasar Continua and the Lya Forest Flux Probability Distribution Function
    Eilers, Anna-Christina
    Hennawi, Joseph F.
    Lee, Khee-Gan
    ASTROPHYSICAL JOURNAL, 2017, 844 (02):
  • [7] Maximum a posteriori Ly α estimator (<monospace>MAPLE</monospace>): band power and covariance estimation of the 3D Ly α forest power spectrum
    Horowitz, Benjamin
    de Belsunce, Roger
    Lukic, Zarija
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2024, 536 (01) : 845 - 850
  • [8] The probability distribution function of the Sunyaev-Zel'dovich power spectrum: An analytical approach
    Zhang, Pengjie
    Sheth, Ravi K.
    ASTROPHYSICAL JOURNAL, 2007, 671 (01): : 14 - 26
  • [9] First Data Release of the COSMOS Lyα Mapping and Tomography Observations: 3D Lyα Forest Tomography at 2.05 &lt; z &lt; 2.55
    Lee, Khee-Gan
    Krolewski, Alex
    White, Martin
    Schlegel, David
    Nugent, Peter E.
    Hennawi, Joseph F.
    Muller, Thomas
    Pan, Richard
    Prochaska, J. Xavier
    Font-Ribera, Andreu
    Suzuki, Nao
    Glazebrook, Karl
    Kacprzak, Glenn G.
    Kartaltepe, Jeyhan S.
    Koekemoer, Anton M.
    Le Fevre, Olivier
    Lemaux, Brian C.
    Maier, Christian
    Nanayakkara, Themiya
    Rich, R. Michael
    Sanders, D. B.
    Salvato, Mara
    Tasca, Lidia
    Tran, Kim-Vy H.
    ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES, 2018, 237 (02):
  • [10] IGM CONSTRAINTS FROM THE SDSS-III/BOSS DR9 Lyα FOREST TRANSMISSION PROBABILITY DISTRIBUTION FUNCTION
    Lee, Khee-Gan
    Hennawi, Joseph F.
    Spergel, David N.
    Weinberg, David H.
    Hogg, David W.
    Viel, Matteo
    Bolton, James S.
    Bailey, Stephen
    Pieri, Matthew M.
    Carithers, William
    Schlegel, David J.
    Lundgren, Britt
    Palanque-Delabrouille, Nathalie
    Suzuki, Nao
    Schneider, Donald P.
    Yeche, Christophe
    ASTROPHYSICAL JOURNAL, 2015, 799 (02):