Cosmological parameter estimation in the quintessence paradigm

被引:14
|
作者
Douspis, M
Riazuelo, A
Zolnierowski, Y
Blanchard, A
机构
[1] Observ Midi Pyrenees, Astrophys Lab, F-31400 Toulouse, France
[2] Nucl & Astrophys Lab, Oxford OX1 3RH, England
[3] CEA Saclay, CNRS, Unite Rech Associee, CEA DSM SPhT,Serv Phys Theor, F-91191 Gif Sur Yvette, France
[4] CNRS, IN2P3, LAPP, F-74941 Annecy Le Vieux, France
[5] Univ Savoie, F-73011 Chambery, France
关键词
cosmology : cosmic microwave background; cosmology : cosmological parameters;
D O I
10.1051/0004-6361:20030511
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
We present cosmological parameter constraints on flat cosmologies dominated by dark energy using various cosmological data including the recent Archeops angular power spectrum measurements. A likelihood analysis of the existing Cosmic Microwave Background data shows that in the absence of further prior, dark energy is not required. This comes from the fact that degeneracies exist among the various cosmological parameters constrained by the Cosmic Microwave Background. We found that there is a degeneracy in a combination of the Hubble parameter H-0 and of the dark energy equation of state parameter w(Q), but that w(Q) is not correlated with the primordial index n of scalar fluctuations and the baryon content Omega(b)h(2). The preferred primordial index is n = 0.95 +/- 0.05 (68%) and baryon content Omega(b)h(2) = 0.021 +/- 0.003. Adding constraints on the amplitude of matter fluctuations on small scales, sigma(8), obtained from clusters abundance or weak lensing data may allow degenaracies to be broken, although present-day systematic uncertainties do not allow for firm conclusions as yet. Further addition of the Hubble Space Telescope measurements of the local distance scale and of the high redshift supernovae data allow one to obtain tight constraints. When these constraints are combined we find that the amount of dark energy is 0.7(-0.07)(+0.10) (95% C. L.) and that its equation of state is very close to those of the vacuum: w(Q) < - 0.75 (> 95% C. L.). In no case do we find that quintessence is prefered over the classical cosmological constant, although robust data on sigma(8) might rapidly shed light on this important issue.
引用
收藏
页码:409 / 414
页数:6
相关论文
共 50 条
  • [1] Cosmological constraints on the roll parameter of freezing and thawing quintessence models
    Hernandez-Aguayo, Cesar
    Avelino, Arturo
    Arturo Urena-Lopez, L.
    [J]. IX MEXICAN SCHOOL ON GRAVITATION AND MATHEMATICAL PHYSICS: COSMOLOGY FOR THE XXIST CENTURY, 2013, 1548 : 254 - 262
  • [2] Cosmological parameter estimation: methods
    Douspis, M
    [J]. COMPTES RENDUS PHYSIQUE, 2003, 4 (08) : 881 - 890
  • [3] Quintessence and the cosmological constant
    Doran, M
    Wetterich, C
    [J]. NUCLEAR PHYSICS B-PROCEEDINGS SUPPLEMENTS, 2003, 124 : 57 - 62
  • [4] The cosmological constant and quintessence
    de la Macorra, A
    Piccinelli, G
    [J]. PARTICLES AND FIELDS, 2000, 531 : 320 - 325
  • [5] Probing quintessence: reconstruction and parameter estimation from supernovae
    Gerke, BF
    Efstathiou, G
    [J]. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2002, 335 (01) : 33 - 43
  • [6] Informational approach to cosmological parameter estimation
    Stephens, Michelle
    Vannah, Sara
    Gleiser, Marcelo
    [J]. PHYSICAL REVIEW D, 2020, 102 (12)
  • [7] Cosmological parameter estimation and the inflationary cosmology
    Leach, SM
    Liddle, AR
    Martin, J
    Schwarz, DJ
    [J]. PHYSICAL REVIEW D, 2002, 66 (02)
  • [8] CosmoSIS: Modular cosmological parameter estimation
    Zuntz, J.
    Paterno, M.
    Jennings, E.
    Rudd, D.
    Manzotti, A.
    Dodelson, S.
    Bridle, S.
    Sehrish, S.
    Kowalkowski, J.
    [J]. ASTRONOMY AND COMPUTING, 2015, 12 : 45 - 59
  • [9] Cosmological Parameter Estimation with Genetic Algorithms
    Medel-Esquivel, Ricardo
    Gomez-Vargas, Isidro
    Morales Sanchez, Alejandro A.
    Garcia-Salcedo, Ricardo
    Alberto Vazquez, Jose
    [J]. UNIVERSE, 2024, 10 (01)
  • [10] Information Gains in Cosmological Parameter Estimation
    Seehars, Sebastian
    Amara, Adam
    Refregier, Alexandre
    Paranjape, Aseem
    Akeret, Joel
    [J]. STATISTICAL CHALLENGES IN 21ST CENTURY COSMOLOGY, 2015, 10 (306): : 206 - 209