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Improved cosmological constraints from a joint analysis of the SDSS-II and SNLS supernova samples
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Aims. We present cosmological constraints from a joint analysis of type Ia supernova (SN Ia) observations obtained by the SDSS-II and SNLS collaborations. The dataset includes several low-redshift samples (z< 0.1), all three seasons from the SDSS-II (0.05 <z< 0.4), and three years from SNLS (0.2 <z< 1), and it totals 740 spectroscopically confirmed type Ia supernovae with high-quality light curves.
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Cites
Observational Evidence from Supernovae for an Accelerating Universe and a Cosmological Constant
Riess, A. G., Filippenko, A. V., Challis, P., Clocchiatti, A., Diercks, A., Garnavich, P. M., Gilliland, R. L., Hogan, C. J., Jha, S., Kirshner, R. P., et al. (1998) · The Astronomical Journal · doi:10.1086/300499 · Cited by 19,704
Self-citationMeasurements of Ω and Λ from 42 High‐Redshift Supernovae
Perlmutter, S., Aldering, G., Goldhaber, G., Knop, R. A., Nugent, P., Castro, P. G., Deustua, S., Fabbro, S., Goobar, A., Groom, D. E., et al. (1999) · The Astrophysical Journal · doi:10.1086/307221 · Cited by 18,062
Self-citationSchlegel, D. J., Finkbeiner, D. P., & Davis, M. (1998) · The Astrophysical Journal · doi:10.1086/305772 · Cited by 15,126
The Two Micron All Sky Survey (2MASS)
Skrutskie, M. F., Cutri, R. M., Stiening, R., Weinberg, M. D., Schneider, S., Carpenter, J. M., Beichman, C., Capps, R., Chester, T., Elias, J., et al. (2006) · The Astronomical Journal · doi:10.1086/498708 · Cited by 12,019
Lewis, A., Challinor, A., & Lasenby, A. (2000) · The Astrophysical Journal · doi:10.1086/309179 · Cited by 4,920
Cosmological parameters from CMB and other data: A Monte Carlo approach
Lewis, A., & Bridle, S. (2002) · Physical Review D · doi:10.1103/physrevd.66.103511 · Cited by 3,495 · cited 4×
“We follow assumptions from Planck Collaboration XVI (2014), fitting for the baryon density today ωb = Ωbh2, the cold dark matter density today ωc = Ωch2, θMC, the CosmoMC approximation of the sound horizon angular size computed from the Hu & Sugiyam (1996) fitting formulae, τ, the Thomson scattering optical depth due…”
MethodInfluentialThe Sloan Digital Sky Survey Photometric System
Fukugita, M., Ichikawa, T., Gunn, J. E., Doi, M., Shimasaku, K., & Schneider, D. P. (1996) · The Astronomical Journal · doi:10.1086/117915 · Cited by 3,033 · cited 1×
“Images were taken in five broad passbands, ugriz (Fukugita et al. 1996; Doi et al. 2010), with 55 s exposures and processed through the PHOTO photometric pipeline (Lupton et al. 2001).”
MethodSelf-citationMaximum Likelihood Approaches to Variance Component Estimation and to Related Problems
Harville, D. A. (1977) · Journal of the American Statistical Association · doi:10.1080/01621459.1977.10480998 · Cited by 2,667
Beutler, F., Blake, C., Colless, M., Jones, D. H., Staveley-Smith, L., Campbell, L., Parker, Q., Saunders, W., & Watson, F. (2011) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2011.19250.x · Cited by 2,590 · cited 2×
“The BAO scale has now been detected in the correlation function of various galaxy surveys (Eisenstein et al. 2005; Beutler et al. 2011; Blake et al. 2011; Anderson et al. 2012), as well as in the Lyα forest of distant quasars (Busca et al. 2013; Slosar et al. 2013).”
MethodInfluentialExploring the Expansion History of the Universe
Linder, E. V. (2003) · Physical Review Letters · doi:10.1103/physrevlett.90.091301 · Cited by 2,526
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Alam, S., Ata, M., Bailey, S., Beutler, F., Bizyaev, D., Blazek, J. A., Bolton, A. S., Brownstein, J. R., Burden, A., Chuang, C.-H., et al. (2017) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stx721 · Cited by 3,056
Self-citationRiess, A. G., Yuan, W., Macri, L. M., Scolnic, D., Brout, D., Casertano, S., Jones, D. O., Murakami, Y., Anand, G. S., Breuval, L., et al. (2022) · The Astrophysical Journal Letters · doi:10.3847/2041-8213/ac5c5b · Cited by 2,380
Self-citationIn the realm of the Hubble tension—a review of solutions *
Di Valentino, E., Mena, O., Pan, S., Visinelli, L., Yang, W., Melchiorri, A., Mota, D. F., Riess, A. G., & Silk, J. (2021) · Classical and Quantum Gravity · doi:10.1088/1361-6382/ac086d · Cited by 2,065
Self-citationAlam, S., Aubert, M., Avila, S., Balland, C., Bautista, J. E., Bershady, M. A., Bizyaev, D., Blanton, M. R., Bolton, A. S., Bovy, J., et al. (2021) · Physical Review D · doi:10.1103/physrevd.103.083533 · Cited by 1,337
Self-citationMultimodal Data Fusion: An Overview of Methods, Challenges, and Prospects
Lahat, D., Adali, T., & Jutten, C. (2015) · Proceedings of the IEEE · doi:10.1109/jproc.2015.2460697 · Cited by 1,296
Dark Energy Survey year 1 results: Cosmological constraints from galaxy clustering and weak lensing
Abbott, T. M. C., Abdalla, F. B., Alarcon, A., Aleksić, J., Allam, S., Allen, S., Amara, A., Annis, J., Asorey, J., Avila, S., et al. (2018) · Physical Review D · doi:10.1103/physrevd.98.043526 · Cited by 1,213
Self-citationDark Energy Survey Year 3 results: Cosmological constraints from galaxy clustering and weak lensing
Abbott, T. M. C., Aguena, M., Alarcon, A., Allam, S., Alves, O., Amon, A., Andrade-Oliveira, F., Annis, J., Avila, S., Bacon, D., et al. (2022) · Physical Review D · doi:10.1103/physrevd.105.023520 · Cited by 1,124
Self-citationCosmology and Fundamental Physics with the Euclid Satellite
The Euclid Theory Working Group, Amendola, L., Appleby, S., Bacon, D., Baker, T., Baldi, M., Bartolo, N., Blanchard, A., Bonvin, C., Borgani, S., et al. (2013) · Living Reviews in Relativity · doi:10.12942/lrr-2013-6 · Cited by 899
Freedman, W. L., Madore, B. F., Hatt, D., Hoyt, T. J., Jang, I. S., Beaton, R. L., Burns, C. R., Lee, M. G., Monson, A. J., Neeley, J. R., et al. (2019) · The Astrophysical Journal · doi:10.3847/1538-4357/ab2f73 · Cited by 839
Hubble constant hunter’s guide
Knox, L., & Millea, M. (2020) · Physical Review D · doi:10.1103/physrevd.101.043533 · Cited by 638
Testing general relativity in cosmology
Ishak, M. (2019) · Living Reviews in Relativity · doi:10.1007/s41114-018-0017-4 · Cited by 449
Maximal freedom at minimum cost: linear large-scale structure in general modifications of gravity
Bellini, E., & Sawicki, I. (2014) · Journal of Cosmology and Astroparticle Physics · doi:10.1088/1475-7516/2014/07/050 · Cited by 421
Lombriser, L., & Lima, N. A. (2017) · Physics Letters B · doi:10.1016/j.physletb.2016.12.048 · Cited by 261
Local determination of the Hubble constant and the deceleration parameter
Camarena, D., & Marra, V. (2020) · Physical Review Research · doi:10.1103/physrevresearch.2.013028 · Cited by 243
(2018) · doi:10.1103/physrevd.97.103503 · Cited by 233
PHOTOMETRIC SUPERNOVA CLASSIFICATION WITH MACHINE LEARNING
Lochner, M., McEwen, J. D., Peiris, H. V., Lahav, O., & Winter, M. K. (2016) · The Astrophysical Journal Supplement Series · doi:10.3847/0067-0049/225/2/31 · Cited by 200
SuperNNova: an open-source framework for Bayesian, neural network-based supernova classification
Möller, A., & de Boissière, T. (2020) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stz3312 · Cited by 191
Self-citationDirian, Y., Foffa, S., Khosravi, N., Kunz, M., & Maggiore, M. (2014) · Journal of Cosmology and Astroparticle Physics · doi:10.1088/1475-7516/2014/06/033 · Cited by 150
Exploring the Tension between Current Cosmic Microwave Background and Cosmic Shear Data
Di Valentino, E., & Bridle, S. (2018) · Symmetry · doi:10.3390/sym10110585 · Cited by 80
Blake, C., Joudaki, S., Heymans, C., Choi, A., Erben, T., Harnois-Deraps, J., Hildebrandt, H., Joachimi, B., Nakajima, R., van Waerbeke, L., et al. (2016) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stv2875 · Cited by 80
How Many Kilonovae Can Be Found in Past, Present, and Future Survey Data Sets?
Scolnic, D., Kessler, R., Brout, D., Cowperthwaite, P. S., Soares-Santos, M., Annis, J., Herner, K., Chen, H.-Y., Sako, M., Doctor, Z., et al. (2018) · The Astrophysical Journal Letters · doi:10.3847/2041-8213/aa9d82 · Cited by 78
Self-citationBernal, J. L., Smith, T. L., Boddy, K. K., & Kamionkowski, M. (2020) · Physical Review D · doi:10.1103/physrevd.102.123515 · Cited by 69
Probing gravity with a joint analysis of galaxy and CMB lensing and SDSS spectroscopy
Singh, S., Alam, S., Mandelbaum, R., Seljak, U., Rodriguez-Torres, S., & Ho, S. (2018) · arXiv · doi:10.48550/arxiv.1803.08915 · Cited by 48
Probing gravity with a joint analysis of galaxy and CMB lensing and SDSS spectroscopy
Singh, S., Alam, S., Mandelbaum, R., Seljak, U., Rodriguez-Torres, S., & Ho, S. (2019) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/sty2681 · Cited by 48
Introduction to big bang nucleosynthesis and modern cosmology
Mathews, G. J., Kusakabe, M., & Kajino, T. (2017) · International Journal of Modern Physics E · doi:10.1142/s0218301317410014 · Cited by 39
ParSNIP: Generative Models of Transient Light Curves with Physics-enabled Deep Learning
Boone, K. (2021) · The Astronomical Journal · doi:10.3847/1538-3881/ac2a2d · Cited by 38
“Furthermore, the techniques used to build these models require large data sets of well-measured light curves and spectra (Betoule et al. 2014) that are not available for transients other than SNe Ia.”
MethodCosmology with superluminous supernovae
Scovacricchi, D., Nichol, R. C., Bacon, D., Sullivan, M., & Prajs, S. (2016) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stv2752 · Cited by 35
Self-citationPierel, J. D. R., Hayes, E. E., Millon, M., Larison, C., Mamuzic, E., Acebron, A., Agrawal, A., Bergamini, P., Cha, S., Dhawan, S., et al. (2026) · The Astrophysical Journal · doi:10.3847/1538-4357/ae3159 · Cited by 14
Neukart, F. (2025) · Entropy · doi:10.3390/e27020103 · Cited by 4
Metadata
- Authors
- Betoule, M., Kessler, R., Guy, J., Mosher, J., Hardin, D., Biswas, R., Astier, P., El-Hage, P., Konig, M., Kuhlmann, S., Marriner, J., Pain, R., Regnault, N., Balland, C., Bassett, B. A., Brown, P. J., Campbell, H., Carlberg, R. G., Cellier-Holzem, F., Cinabro, D., Conley, A., D’Andrea, C. B., DePoy, D. L., Doi, M., Ellis, R. S., Fabbro, S., Filippenko, A. V., Foley, R. J., Frieman, J. A., Fouchez, D., Galbany, L., Goobar, A., Gupta, R. R., Hill, G. J., Hlozek, R., Hogan, C. J., Hook, I. M., Howell, D. A., Jha, S. W., Le Guillou, L., Leloudas, G., Lidman, C., Marshall, J. L., Möller, A., Mourão, A. M., Neveu, J., Nichol, R., Olmstead, M. D., Palanque-Delabrouille, N., Perlmutter, S., Prieto, J. L., Pritchet, C. J., Richmond, M., Riess, A. G., Ruhlmann-Kleider, V., Sako, M., Schahmaneche, K., Schneider, D. P., Smith, M., Sollerman, J., Sullivan, M., Walton, N. A., & Wheeler, C. J.
- Venue
- Astronomy & Astrophysics
- Publisher
- EDP Sciences
- Published
- 2014-08
- Volume
- 568
- Pages
- A22
- ISSN
- 0004-6361 (ISSN-L)
- 1432-0746
- OpenAlex
- W2073163146
- Cited by
- 1,905
- References
- 13
- FWCI
- 94.03
- Type
- journal article
- Language
- en
- Open access
- bronze
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