2010
DOI: 10.1007/s10509-010-0448-1
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Large-scale periodicity in the distribution of QSO absorption-line systems

Abstract: The spatial-temporal distribution of absorptionline systems (ALSs) observed in QSO spectra within the cosmological redshift interval z = 0.0-4.3 is investigated on the base of our updated catalog of absorption systems. We consider so-called metallic systems including basically lines of heavy elements. The sample of the data displays regular variations (with amplitudes ∼15-20%) in the z-distribution of ALSs as well as in the η-distribution, where η is a dimensionless line-of-sight comoving distance, relatively … Show more

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Cited by 3 publications
(10 citation statements)
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“…These scales are in agreement also with a period of (108 ± 6) h −1 Mpc revealed by Ryabinkov & Kaminker (2011) in the radial distribution of QSO ALSs for a wider redshift interval 0.0 ≤ z ≤ 4.3. Note that the nearness of the periods ∼ 100h −1 Mpc revealed at redshifts z < ∼ 0.5 for LRGs and at z ≤ 4.3 for QSO ALSs argues for spreading of the same large-scale periodicity over long interval of the cosmological evolution (see also Demiański et al 2011).…”
Section: Conclusion and Discussionsupporting
confidence: 90%
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“…These scales are in agreement also with a period of (108 ± 6) h −1 Mpc revealed by Ryabinkov & Kaminker (2011) in the radial distribution of QSO ALSs for a wider redshift interval 0.0 ≤ z ≤ 4.3. Note that the nearness of the periods ∼ 100h −1 Mpc revealed at redshifts z < ∼ 0.5 for LRGs and at z ≤ 4.3 for QSO ALSs argues for spreading of the same large-scale periodicity over long interval of the cosmological evolution (see also Demiański et al 2011).…”
Section: Conclusion and Discussionsupporting
confidence: 90%
“…3, 5 and their variations from sample to sample probably evidence in favour of rather spatial than temporal nature of the quasi-periodicities discussed here. Our model simulations performed for partly ordered structures of points (e.g., Ryabinkov & Kaminker 2011) show that it is possible to get a point-like power spectra similar to those represented in Figs. 3 and 5 performing simulations of a cloud-like 3D-distribution of points around vertices, e.g.…”
Section: Conclusion and Discussionsupporting
confidence: 56%
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