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Title:Determination of Dark Energy by the Einstein Telescope: Comparing with CMB, BAO và SNIa Observations
Download PDF Abstract: A thiết kế study is currently in progress for a third generationgravitational-wave (GW) detector called Einstein Telescope (ET). An importantkind of source for ET will be the inspiral and merger of binary neutron stars(BNS) up lớn $z syên 2$. If BNS mergers are the progenitors of short-hard$gamma$-ray bursts, then some fraction of them will be seen bothelectromagnetically & through GW, so that the luminosity distance và theredshift of the source can be determined separately. An important property ofthese `standard sirens" is that they are emphself-calibrating: theluminosity distance can be inferred directly from the GW signal, with no needfor a cosmic distance ladder. Thus, standard sirens will provide a powerfulindependent check of the $Lambda$CDM model. In previous work, estimates weremade of how well ET would be able lớn measure a subset of the cosmologicalparameters (such as the dark energy parameter $w_0$) it will have access lớn,assuming that the others had been determined to lớn great accuracy by alternativemeans. Here we perform a more careful analysis by explicitly using thepotential Planông chồng CMB data as prior information for these other parameters. Wefind that ET will be able khổng lồ constrain $w_0$ và $w_a$ with accuracies $Deltaw_0 = 0.099$ and $Delta w_a = 0.302$, respectively. These results are comparedwith projected accuracies for the JDEM Baryon Acoustic Oscillations project andthe SNAPhường Type Ia supernovae observations.

Comments: 28 pages, 5 figures, 5 tables; Published Version
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO); General Relativity and Quantum Cosmology (gr-qc); High Energy Physics - Phenomenology (hep-ph); High Energy Physics - Theory (hep-th)
Journalreference: Phys.Rev.D83:023005,2011
DOI: 10.1103/PhysRevD.83.023005
Cite as: gmailwireless.com:1009.0206
(or gmailwireless.com:1009.0206v4 for this version)



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Submission history

From: Wen Zhao Wed, 1 Sep 2010 15:41:28 UTC (224 KB) Thu, 2 Sep 2010 09:22:17 UTC (224 KB) Thu, 16 Dec 2010 00:23:37 UTC (242 KB)Tue, 11 Jan 2011 15:06:27 UTC (243 KB)

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