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Cabass, Giovanni; Schmidt, Fabian

The EFT likelihood for large-scale structure. (English) Zbl 1491.85003

J. Cosmol. Astropart. Phys. 2020, No. 4, Paper No. 42, 54 p. (2020).

Cited in 10 Documents

MSC:

85A15 Galactic and stellar structure
30D40 Cluster sets, prime ends, boundary behavior
81T20 Quantum field theory on curved space or space-time backgrounds
81T12 Effective quantum field theories
93A15 Large-scale systems
00A71 General theory of mathematical modeling
11F72 Spectral theory; trace formulas (e.g., that of Selberg)
62F15 Bayesian inference
35R60 PDEs with randomness, stochastic partial differential equations

Keywords:

galaxy clustering; cosmological parameters from LSS; semi-analytic modeling
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Full Text: DOI arXiv

References:

[1] F. Schmidt, F. Elsner, J. Jasche, N.M. Nguyen and G. Lavaux, 2019 A rigorous EFT-based forward model for large-scale structure J. Cosmol. Astropart. Phys.2019 01 042 [1808.02002] · Zbl 1542.85007
[2] V. Desjacques, D. Jeong and F. Schmidt, 2018 Large-Scale Galaxy Bias, https://doi.org/10.1016/j.physrep.2017.12.002 Phys. Rept.733 1 [1611.09787] · Zbl 1392.83093 · doi:10.1016/j.physrep.2017.12.002
[3] K. Fisher, O. Lahav, Y. Hoffman, D. Lynden-Bell and S. Zaroubi, 1995 Wiener reconstruction of density, velocity and potential fields from all-sky galaxy redshift surveys, https://doi.org/10.1093/mnras/272.4.885 Mon. Not. Roy. Astron. Soc.272 885 [astro-ph/9406009] · doi:10.1093/mnras/272.4.885
[4] J. Jasche, F.S. Kitaura, B.D. Wandelt and T.A. Enßlin, 2010 Bayesian power-spectrum inference for Large Scale Structure data, https://doi.org/10.1111/j.1365-2966.2010.16610.x Mon. Not. Roy. Astron. Soc.406 60 [0911.2493] · doi:10.1111/j.1365-2966.2010.16610.x
[5] J. Jasche, F.S. Kitaura, C. Li and T.A. Enßlin, 2010 Bayesian non-linear large scale structure inference of the Sloan Digital Sky Survey data release 7, https://doi.org/10.1111/j.1365-2966.2010.17313.x Mon. Not. Roy. Astron. Soc.409 355 [0911.2498] · doi:10.1111/j.1365-2966.2010.17313.x
[6] J. Jasche and B.D. Wandelt, 2013 Bayesian physical reconstruction of initial conditions from large scale structure surveys, https://doi.org/10.1093/mnras/stt449 Mon. Not. Roy. Astron. Soc.432 894 [1203.3639] · doi:10.1093/mnras/stt449
[7] H. Wang, H.J. Mo, X. Yang, Y.P. Jing and W.P. Lin, 2014 ELUCID — Exploring the Local Universe with reConstructed Initial Density field I: Hamiltonian Markov Chain Monte Carlo Method with Particle Mesh Dynamics, https://doi.org/10.1088/0004-637X/794/1/94 Astrophys. J.794 94 [1407.3451] · doi:10.1088/0004-637X/794/1/94
[8] M. Ata, F.-S. Kitaura and V. Müller, 2015 Bayesian inference of cosmic density fields from non-linear, scale-dependent and stochastic biased tracers, https://doi.org/10.1093/mnras/stu2347 Mon. Not. Roy. Astron. Soc.446 4250 [1408.2566] · doi:10.1093/mnras/stu2347
[9] E. Bertschinger and A. Dekel, 1989 Recovering the full velocity and density fields from large-scale redshift-distance samples, https://doi.org/10.1086/185348 Astrophys. J.336 L5 · doi:10.1086/185348
[10] M. Schmittfull, T. Baldauf and M. Zaldarriaga, 2017 Iterative initial condition reconstruction, https://doi.org/10.1103/PhysRevD.96.023505 Phys. Rev. D 96 023505 [1704.06634] · doi:10.1103/PhysRevD.96.023505
[11] U. Seljak, G. Aslanyan, Y. Feng and C. Modi, 2017 Towards optimal extraction of cosmological information from nonlinear data J. Cosmol. Astropart. Phys.2017 12 009 [1706.06645] · Zbl 1515.85037
[12] C. Modi, M. White, A. Slosar and E. Castorina, 2019 Reconstructing large-scale structure with neutral hydrogen surveys J. Cosmol. Astropart. Phys.2019 11 023 [1907.02330]
[13] S.M. Carroll, S. Leichenauer and J. Pollack, 2014 Consistent effective theory of long-wavelength cosmological perturbations, https://doi.org/10.1103/PhysRevD.90.023518 Phys. Rev. D 90 023518 [1310.2920] · doi:10.1103/PhysRevD.90.023518
[14] D. Blas, M. Garny, M.M. Ivanov and S. Sibiryakov, 2016 Time-Sliced Perturbation Theory for Large Scale Structure I: General Formalism J. Cosmol. Astropart. Phys.2016 07 052 [1512.05807]
[15] D. Blas, M. Garny, M.M. Ivanov and S. Sibiryakov, 2016 Time-Sliced Perturbation Theory II: Baryon Acoustic Oscillations and Infrared Resummation J. Cosmol. Astropart. Phys.2016 07 028 [1605.02149]
[16] P. McDonald and Z. Vlah, 2018 Large-scale structure perturbation theory without losing stream crossing, https://doi.org/10.1103/PhysRevD.97.023508 Phys. Rev. D 97 023508 [1709.02834] · doi:10.1103/PhysRevD.97.023508
[17] F. Elsner, F. Schmidt, J. Jasche, G. Lavaux and N.-M. Nguyen, 2020 Cosmology inference from a biased density field using the EFT-based likelihood J. Cosmol. Astropart. Phys.2020 01 029 [1906.07143] · Zbl 1489.85007
[18] R. Scoccimarro, E. Sefusatti and M. Zaldarriaga, 2004 Probing primordial non-Gaussianity with large-scale structure, https://doi.org/10.1103/PhysRevD.69.103513 Phys. Rev. D 69 103513 [astro-ph/0312286] · doi:10.1103/PhysRevD.69.103513
[19] T. Baldauf, U. Seljak and L. Senatore, 2011 Primordial non-Gaussianity in the Bispectrum of the Halo Density Field J. Cosmol. Astropart. Phys.2011 04 006 [1011.1513]
[20] V. Assassi, D. Baumann and F. Schmidt, 2015 Galaxy Bias and Primordial Non-Gaussianity J. Cosmol. Astropart. Phys.2015 12 043 [1510.03723]
[21] M. Mirbabayi, F. Schmidt and M. Zaldarriaga, 2015 Biased Tracers and Time Evolution J. Cosmol. Astropart. Phys.2015 07 030 [1412.5169]
[22] L. Senatore, 2015 Bias in the Effective Field Theory of Large Scale Structures J. Cosmol. Astropart. Phys.2015 11 007 [1406.7843]
[23] J. Zinn-Justin, 2002 Quantum field theory and critical phenomena Int Ser. Monogr. Phys.113 1
[24] M.E. Peskin and D.V. Schroeder, 1995 An Introduction to quantum field theory, Addison-Wesley, Reading U.S.A.
[25] D. Skinner, 2018 Quantum Field Theory II, http://www.damtp.cam.ac.uk/user/dbs26/AQFT.html
[26] D. Baumann, A. Nicolis, L. Senatore and M. Zaldarriaga, 2012 Cosmological Non-Linearities as an Effective Fluid J. Cosmol. Astropart. Phys.2012 07 051 [1004.2488]
[27] P. McDonald, 2006 Clustering of dark matter tracers: Renormalizing the bias parameters, https://doi.org/10.1103/PhysRevD.74.103512 Phys. Rev. D 74 103512 [Erratum ibid D 74 (2006) 129901] [astro-ph/0609413] · doi:10.1103/PhysRevD.74.103512
[28] V. Assassi, D. Baumann, D. Green and M. Zaldarriaga, 2014 Renormalized Halo Bias J. Cosmol. Astropart. Phys.2014 08 056 [1402.5916]
[29] A.A. Abolhasani, M. Mirbabayi and E. Pajer, 2016 Systematic Renormalization of the Effective Theory of Large Scale Structure J. Cosmol. Astropart. Phys.2016 05 063 [1509.07886]
[30] A. Perko, L. Senatore, E. Jennings and R.H. Wechsler, Biased Tracers in Redshift Space in the EFT of Large-Scale Structure, [1610.09321]
[31] Z. Ding, H.-J. Seo, Z. Vlah, Y. Feng, M. Schmittfull and F. Beutler, 2018 Theoretical Systematics of Future Baryon Acoustic Oscillation Surveys, https://doi.org/10.1093/mnras/sty1413 Mon. Not. Roy. Astron. Soc.479 1021 [1708.01297] · doi:10.1093/mnras/sty1413
[32] L.F. de la Bella, D. Regan, D. Seery and D. Parkinson, Impact of bias and redshift-space modelling for the halo power spectrum: Testing the effective field theory of large-scale structure, [1805.12394] · Zbl 1492.85012
[33] V. Desjacques, D. Jeong and F. Schmidt, 2018 The Galaxy Power Spectrum and Bispectrum in Redshift Space J. Cosmol. Astropart. Phys.2018 12 035 [1806.04015] · Zbl 1536.83163
[34] L. Senatore, S. Tassev and M. Zaldarriaga, 2009 Cosmological Perturbations at Second Order and Recombination Perturbed J. Cosmol. Astropart. Phys.2009 08 031 [0812.3652]
[35] L. Senatore, S. Tassev and M. Zaldarriaga, 2009 Non-Gaussianities from Perturbing Recombination J. Cosmol. Astropart. Phys.2009 09 038 [0812.3658]
[36] E. Pajer and M. Zaldarriaga, 2013 On the Renormalization of the Effective Field Theory of Large Scale Structures J. Cosmol. Astropart. Phys.2013 08 037 [1301.7182]
[37] M.D. Schwartz, 2014 Quantum Field Theory and the Standard Model, Cambridge University Press, Cambridge U.K.
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