publication . Article . Preprint . Other literature type . 2019

Enhancing BOSS bispectrum cosmological constraints with maximal compression

Gualdi, Davide; Gil-Marín, Héctor; Schuhmann, Robert L; Manera, Marc; Joachimi, Benjamin; Lahav, Ofer;
Open Access English
  • Published: 01 Apr 2019
  • Publisher: HAL CCSD
Abstract
We apply two compression methods to the galaxy power spectrum monopole/quadrupole and bispectrum monopole measurements from the BOSS DR12 CMASS sample. Both methods reduce the dimension of the original data-vector to the number of cosmological parameters considered, using the Karhunen-Lo\`eve algorithm with an analytic covariance model. In the first case, we infer the posterior through MCMC sampling from the likelihood of the compressed data-vector (MC-KL). The second, faster option, works by first Gaussianising and then orthogonalising the parameter space before the compression; in this option (G-PCA) we only need to run a low-resolution preliminary MCMC sample...
Subjects
arXiv: Astrophysics::Cosmology and Extragalactic Astrophysics
free text keywords: large-scale structure of Universe, cosmological parameters, methods: analytical, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Cosmology and Nongalactic Astrophysics, methods: analytical – cosmological parameters – large-scale structure of Universe., Covariance, Markov chain Monte Carlo, symbols.namesake, symbols, Spectral density, Sampling (statistics), Matrix (mathematics), Redshift, Physics, Algorithm, Parameter space, Astrophysics, Bispectrum
Funded by
EC| TESTDE
Project
TESTDE
Testing the Dark Energy Paradigm and Measuring Neutrino Mass with the Dark Energy Survey
  • Funder: European Commission (EC)
  • Project Code: 291329
  • Funding stream: FP7 | SP2 | ERC
78 references, page 1 of 6

Ade P. A. R., et al., 2014, Astron. Astrophys., 571, A16

Alam S., et al., 2017, MNRAS, 470, 2617

Alsing J., Wandelt B., 2018, MNRAS, 476, L60

Alsing J., Wandelt B., Feeney S., 2018, MNRAS, 477, 2514

Bernardeau F., Brax P., 2011, JCAP, 1106, 019

Bocquet S., Carter F. W., 2016, The Journal of Open Source Software, 1

Borisov A., Jain B., 2009, Phys. Rev. D, 79, 103506

Dark Energy Survey Collaboration et al., 2016, MNRAS, 460, 1270

Dawson K. S., et al., 2013, AJ, 145, 10

Eisenstein D. J., et al., 2011, AJ, 142, 72

Feldman H. A., Kaiser N., Peacock J. A., 1994, ApJ, 426, 23

Foreman-Mackey D., Hogg D. W., Lang D., Goodman J., 2013, PASP, 125, 306

Frieman J. A., Gaztanaga E., 1994, ApJ, 425, 392

Fry J. N., 1984, ApJ, 279, 499

Fry J. N., Gaztanaga E., 1993, ApJ, 413, 447

78 references, page 1 of 6
Related research
Abstract
We apply two compression methods to the galaxy power spectrum monopole/quadrupole and bispectrum monopole measurements from the BOSS DR12 CMASS sample. Both methods reduce the dimension of the original data-vector to the number of cosmological parameters considered, using the Karhunen-Lo\`eve algorithm with an analytic covariance model. In the first case, we infer the posterior through MCMC sampling from the likelihood of the compressed data-vector (MC-KL). The second, faster option, works by first Gaussianising and then orthogonalising the parameter space before the compression; in this option (G-PCA) we only need to run a low-resolution preliminary MCMC sample...
Subjects
arXiv: Astrophysics::Cosmology and Extragalactic Astrophysics
free text keywords: large-scale structure of Universe, cosmological parameters, methods: analytical, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Cosmology and Nongalactic Astrophysics, methods: analytical – cosmological parameters – large-scale structure of Universe., Covariance, Markov chain Monte Carlo, symbols.namesake, symbols, Spectral density, Sampling (statistics), Matrix (mathematics), Redshift, Physics, Algorithm, Parameter space, Astrophysics, Bispectrum
Funded by
EC| TESTDE
Project
TESTDE
Testing the Dark Energy Paradigm and Measuring Neutrino Mass with the Dark Energy Survey
  • Funder: European Commission (EC)
  • Project Code: 291329
  • Funding stream: FP7 | SP2 | ERC
78 references, page 1 of 6

Ade P. A. R., et al., 2014, Astron. Astrophys., 571, A16

Alam S., et al., 2017, MNRAS, 470, 2617

Alsing J., Wandelt B., 2018, MNRAS, 476, L60

Alsing J., Wandelt B., Feeney S., 2018, MNRAS, 477, 2514

Bernardeau F., Brax P., 2011, JCAP, 1106, 019

Bocquet S., Carter F. W., 2016, The Journal of Open Source Software, 1

Borisov A., Jain B., 2009, Phys. Rev. D, 79, 103506

Dark Energy Survey Collaboration et al., 2016, MNRAS, 460, 1270

Dawson K. S., et al., 2013, AJ, 145, 10

Eisenstein D. J., et al., 2011, AJ, 142, 72

Feldman H. A., Kaiser N., Peacock J. A., 1994, ApJ, 426, 23

Foreman-Mackey D., Hogg D. W., Lang D., Goodman J., 2013, PASP, 125, 306

Frieman J. A., Gaztanaga E., 1994, ApJ, 425, 392

Fry J. N., 1984, ApJ, 279, 499

Fry J. N., Gaztanaga E., 1993, ApJ, 413, 447

78 references, page 1 of 6
Related research
Powered by OpenAIRE Open Research Graph
Any information missing or wrong?Report an Issue
publication . Article . Preprint . Other literature type . 2019

Enhancing BOSS bispectrum cosmological constraints with maximal compression

Gualdi, Davide; Gil-Marín, Héctor; Schuhmann, Robert L; Manera, Marc; Joachimi, Benjamin; Lahav, Ofer;