Built on

A. Nusser and A. Dekel, Tracing large-scale fluctuations back in time , ApJ 391
1992
Earlier work this paper cites.
D. J. Eisenstein and W. Hu, Baryonic Features in the Matter Transfer Function , ApJ 496
1998
Earlier work this paper cites.
A. Dekel, A. Eldar, T. Kolatt, A. Yahil, J. A. Willick, S. M. Faber et al., POTENT Reconstruction from Mark III Velocities , ApJ 522
1999
Earlier work this paper cites.
F. Bernardeau, S. Colombi, E. Gaztañaga and R. Scoccimarro, Large-scale structure of the Universe and cosmological perturbation theory , PhR 367
2002
Earlier work this paper cites.
S. P. Gill, A. Knebe and B. K. Gibson, The Evolution substructure 1: A New identification method , Mon.Not.Roy.Astron.Soc. 351
2004
Earlier work this paper cites.
V. Springel, The Cosmological simulation code GADGET-2 , Mon.Not.Roy.Astron.Soc. 364
2005
Earlier work this paper cites.
D. J. Eisenstein, H.-J. Seo and M. White, On the Robustness of the Acoustic Scale in the Low-Redshift Clustering of Matter , ApJ 664
2007
Earlier work this paper cites.
D. J. Eisenstein, H.-J. Seo, E. Sirko and D. N. Spergel, Improving Cosmological Distance Measurements by Reconstruction of the Baryon Acoustic Peak , ApJ 664
2007
Earlier work this paper cites.
D. J. Eisenstein, H.-J. Seo, E. Sirko and D. N. Spergel, Improving Cosmological Distance Measurements by Reconstruction of the Baryon Acoustic Peak , ApJ 664
2007
Earlier work this paper cites.
F. S. Kitaura and T. A. Enßlin, Bayesian reconstruction of the cosmological large-scale structure: methodology, inverse algorithms and numerical optimization , MNRAS 389
Original
2008
Earlier work this paper cites.
Y. Noh, M. White and N. Padmanabhan, Reconstructing baryon oscillations , PhRvD 80
Original
2009
Earlier work this paper cites.
J. Jasche and F. S. Kitaura, Fast Hamiltonian sampling for large-scale structure inference , MNRAS 407
Original
2010
Earlier work this paper cites.
J. Jasche, F. S. Kitaura, C. Li and T. A. Enßlin, Bayesian non-linear large-scale structure inference of the Sloan Digital Sky Survey Data Release 7 , MNRAS 409
Original
2010
Earlier work this paper cites.
D. Baumann, A. Nicolis, L. Senatore and M. Zaldarriaga, Cosmological non-linearities as an effective fluid , JCAP 7
Original
2012
Earlier work this paper cites.
J. J. M. Carrasco, M. P. Hertzberg and L. Senatore, The effective field theory of cosmological large scale structures , Journal of High Energy Physics 9
Original
2012
Earlier work this paper cites.
S. Tassev and M. Zaldarriaga, Towards an optimal reconstruction of baryon oscillations , JCAP 10
Original
2012
Earlier work this paper cites.

Similar

B. D. Sherwin and M. Zaldarriaga, Shift of the baryon acoustic oscillation scale: A simple physical picture , PhRvD 85
Original
2012
Cited alongside, same era.
J. Jasche and B. D. Wandelt, Bayesian physical reconstruction of initial conditions from large-scale structure surveys , MNRAS 432
Original
2013
Cited alongside, same era.
H. Wang, H. J. Mo, X. Yang and F. C. van den Bosch, Reconstructing the Initial Density Field of the Local Universe: Methods and Tests with Mock Catalogs , ApJ 772
Original
2013
Cited alongside, same era.
J. Jasche and B. D. Wandelt, Methods for Bayesian Power Spectrum Inference with Galaxy Surveys , ApJ 779
Original
2013
Cited alongside, same era.
E. Pajer and M. Zaldarriaga, On the renormalization of the effective field theory of large scale structures , JCAP 8

Then

F. Schmidt, Towards a self-consistent halo model for the nonlinear large-scale structure , PhRvD 93
Original
2016
Later among the works it cites.
A. Perko, L. Senatore, E. Jennings and R. H. Wechsler, Biased Tracers in Redshift Space in the EFT of Large-Scale Structure , ArXiv e-prints (Oct., 2016) , [ 1610.09321 ]
Original
2016
Later among the works it cites.
U. Seljak, G. Aslanyan, Y. Feng and C. Modi, Towards optimal extraction of cosmological information from nonlinear data , JCAP 12
Original
2017
Later among the works it cites.
T. Lazeyras and F. Schmidt, Beyond LIMD bias: a measurement of the complete set of third-order halo bias parameters , ArXiv e-prints (Dec., 2017) , [ 1712.07531 ]
Original
2017
Later among the works it cites.
X. Wang, H.-R. Yu, H.-M. Zhu, Y. Yu, Q. Pan and U.-L. Pen, Isobaric Reconstruction of the Baryonic Acoustic Oscillation , ApJL 841

Beyond the bibliography

alphaXiv searches the wider corpus for related work and actual follow-ups.

Open on alphaXiv

alphaXiv is searching for related work…

Reading the bibliography…

2018

A rigorous EFT-based forward model for large-scale structure

Schmidt, Fabian, Elsner, Franz, Jasche, Jens et al.

Understand

Conventional approaches to cosmology inference from galaxy redshift surveys are based on n-point functions, which are under rigorous perturbative control on sufficiently large scales.

Here, we present an alternative approach, which employs a likelihood at the level of the galaxy density field.
By integrating out small-scale modes based on effective-field theory arguments, we prove that this likelihood is under perturbative control if certain specific conditions are met.
We further show that the information captured by this likelihood is equivalent to the combination of the next-to-leading order galaxy power spectrum, leading-order bispectrum, and BAO reconstruction.

Built on

A. Nusser and A. Dekel, Tracing large-scale fluctuations back in time , ApJ 391
1992
Earlier work this paper cites.
D. J. Eisenstein and W. Hu, Baryonic Features in the Matter Transfer Function , ApJ 496
1998
Earlier work this paper cites.
A. Dekel, A. Eldar, T. Kolatt, A. Yahil, J. A. Willick, S. M. Faber et al., POTENT Reconstruction from Mark III Velocities , ApJ 522
1999
Earlier work this paper cites.
F. Bernardeau, S. Colombi, E. Gaztañaga and R. Scoccimarro, Large-scale structure of the Universe and cosmological perturbation theory , PhR 367
2002
Earlier work this paper cites.
S. P. Gill, A. Knebe and B. K. Gibson, The Evolution substructure 1: A New identification method , Mon.Not.Roy.Astron.Soc. 351
2004
Earlier work this paper cites.
V. Springel, The Cosmological simulation code GADGET-2 , Mon.Not.Roy.Astron.Soc. 364
2005
Earlier work this paper cites.
D. J. Eisenstein, H.-J. Seo and M. White, On the Robustness of the Acoustic Scale in the Low-Redshift Clustering of Matter , ApJ 664
2007
Earlier work this paper cites.
D. J. Eisenstein, H.-J. Seo, E. Sirko and D. N. Spergel, Improving Cosmological Distance Measurements by Reconstruction of the Baryon Acoustic Peak , ApJ 664
2007
Earlier work this paper cites.
D. J. Eisenstein, H.-J. Seo, E. Sirko and D. N. Spergel, Improving Cosmological Distance Measurements by Reconstruction of the Baryon Acoustic Peak , ApJ 664
2007
Earlier work this paper cites.
F. S. Kitaura and T. A. Enßlin, Bayesian reconstruction of the cosmological large-scale structure: methodology, inverse algorithms and numerical optimization , MNRAS 389
Original
2008
Earlier work this paper cites.
Y. Noh, M. White and N. Padmanabhan, Reconstructing baryon oscillations , PhRvD 80
Original
2009
Earlier work this paper cites.
J. Jasche and F. S. Kitaura, Fast Hamiltonian sampling for large-scale structure inference , MNRAS 407
Original
2010
Earlier work this paper cites.
J. Jasche, F. S. Kitaura, C. Li and T. A. Enßlin, Bayesian non-linear large-scale structure inference of the Sloan Digital Sky Survey Data Release 7 , MNRAS 409
Original
2010
Earlier work this paper cites.
D. Baumann, A. Nicolis, L. Senatore and M. Zaldarriaga, Cosmological non-linearities as an effective fluid , JCAP 7
Original
2012
Earlier work this paper cites.
J. J. M. Carrasco, M. P. Hertzberg and L. Senatore, The effective field theory of cosmological large scale structures , Journal of High Energy Physics 9
Original
2012
Earlier work this paper cites.
S. Tassev and M. Zaldarriaga, Towards an optimal reconstruction of baryon oscillations , JCAP 10
Original
2012
Earlier work this paper cites.