Forecasts of cosmological constraints from Type la supernovae including the weak-lensing convergence

被引:5
|
作者
Hada, Ryuichiro [1 ]
Futamase, Toshifumi [2 ]
机构
[1] Univ Tokyo, UTIAS, Kavli IPMU WPI, Kashiwa, Chiba 2778583, Japan
[2] Kyoto Sangyo Univ, Dept Astrophys & Atmospher Sci, Kyoto, Kyoto 6038555, Japan
来源
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS | 2019年 / 06期
关键词
cosmological neutrinos; cosmological parameters from LSS; gravitational lensing; supernova type Ia - standard candles; MASSIVE NEUTRINOS; MODEL;
D O I
10.1088/1475-7516/2019/06/033
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
We investigate how the cosmological constraints from SNe Ia are improved by including the effects of weak-lensing convergence. To do so, we introduce the lognormal function as the convergence PDF modeling the lensing scatter of SN Ia magnitude, and apply a sample selection for SNe Ia to avoid strongly lensed samples. Comparing with the contribution of other uncertainties (e.g., the intrinsic magnitude scatter), we find that the lensing effect is dominant at z > 1. Then forecasting the parameter constraints for the Wide-Field InfraRed Survey Telescope survey, we show that considering the weak-lensing effect, the constraints on the density parameters Omega(m) or Omega(A), and the dark energy equation of state w are improved, especially for SNe Ia samples at higher redshift z > 1. Furthermore, we see that the degeneracy between the total mass of neutrino Sigma m(v) and the (cold) dark matter density parameter Omega(c) can be resolved.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] The effects of weak gravitational lensing on determinations of the cosmology from type Ia supernovae
    Barber, AJ
    GRAVITATIONAL LENSING: RECENT PROGRESS AND FUTURE GOALS, 2001, 237 : 363 - 364
  • [32] Cosmological constraints from type ia supernovae peculiar velocity measurements
    Gordon, C.
    Land, K.
    Slosar, A.
    PHYSICAL REVIEW LETTERS, 2007, 99 (08)
  • [33] Constraints on Cosmological Parameters with a Sample of Type Ia Supernovae from JWST
    Lu, Jia
    Wang, Lifan
    Chen, Xingzhuo
    Rubin, David
    Perlmutter, Saul
    Baade, Dietrich
    Mould, Jeremy
    Vinko, Jozsef
    Regos, Eniko
    Koekemoer, Anton M.
    ASTROPHYSICAL JOURNAL, 2022, 941 (01):
  • [34] Cosmological constraints from the large-scale weak lensing of SDSS MaxBCG clusters
    Zu, Ying
    Weinberg, David H.
    Rozo, Eduardo
    Sheldon, Erin S.
    Tinker, Jeremy L.
    Becker, Matthew R.
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2014, 439 (02) : 1628 - 1647
  • [35] Emulating the CFHTLenS weak lensing data: Cosmological constraints from moments and Minkowski functionals
    Petri, Andrea
    Liu, Jia
    Haiman, Zoltan
    May, Morgan
    Hui, Lam
    Kratochvil, Jan M.
    PHYSICAL REVIEW D, 2015, 91 (10):
  • [36] KiDS-450: cosmological parameter constraints from tomographic weak gravitational lensing
    Hildebrandt, H.
    Viola, M.
    Heymans, C.
    Joudaki, S.
    Kuijken, K.
    Blake, C.
    Erben, T.
    Joachimi, B.
    Klaes, D.
    Miller, L.
    Morrison, C. B.
    Nakajima, R.
    Kleijn, G. Verdoes
    Amon, A.
    Choi, A.
    Covone, G.
    de Jong, J. T. A.
    Dvornik, A.
    Conti, I. Fenech
    Grado, A.
    Harnois-Deraps, J.
    Herbonnet, R.
    Hoekstra, H.
    Kohlinger, F.
    McFarland, J.
    Mead, A.
    Merten, J.
    Napolitano, N.
    Peacock, J. A.
    Radovich, M.
    Schneider, P.
    Simon, P.
    Valentijn, E. A.
    van den Busch, J. L.
    van Uitert, E.
    Van Waerbeke, L.
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2017, 465 (02) : 1454 - 1498
  • [38] Weak lensing and CMB: Parameter forecasts including a running spectral index
    Ishak, M
    Hirata, CM
    McDonald, P
    Seljak, U
    PHYSICAL REVIEW D, 2004, 69 (08): : 11
  • [39] Cosmological constraints from the abundance, weak lensing, and clustering of galaxy clusters: Application to the SDSS
    Fumagalli, A.
    Costanzi, M.
    Saro, A.
    Castro, T.
    Borgani, S.
    ASTRONOMY & ASTROPHYSICS, 2024, 682
  • [40] Cosmological constraints with deep learning from KiDS-450 weak lensing maps
    Fluri, Janis
    Kacprzak, Tomasz
    Lucchi, Aurelien
    Refregier, Alexandre
    Amara, Adam
    Hofmann, Thomas
    Schneider, Aurel
    PHYSICAL REVIEW D, 2019, 100 (06)