No evidence for $p$- or $d$-wave dark matter annihilation from local large-scale structure
A. Kostić, D. J. Bartlett, H. Desmond
Physical Review D (2026) 113, 6, 063539; arXiv:2304.10301

The Manticore-Local Cluster Catalogue: A Posterior Map of Massive Structures in the Nearby Universe
S. McAlpine
The Open Journal of Astrophysics (2026) 9, 59142; arXiv:2510.16574

Field-Level Inference of Primordial Non-Gaussianity with the Quijote Simulation Suite
A. Andrews, J. Jasche, G. Lavaux, W. Coulton, F. Villaescusa-Navarro et al.
arXiv e-prints (2026) , arXiv:2603.20855; arXiv:2603.20855

1.8 per cent measurement of H₀ from Cepheids alone
R. Stiskalek, H. Desmond, E. Tsaprazi, A. Heavens, G. Lavaux et al.
Monthly Notices of the Royal Astronomical Society (2026) 546, 2, staf2260; arXiv:2509.09665

Preparing for Rubin-LSST: Detecting brightest cluster galaxies with machine learning in the LSST DP0.2 simulation
A. Chu, L. Doeser, S. Ding, J. Jasche
Astronomy and Astrophysics (2026) 706, A317; arXiv:2503.15945

Reconstructing the largest scales of the Universe with field-level inference applied to the Quaia Quasar Catalogue
A. Andrews, A. Loureiro, J. Jasche, S. McAlpine, G. Lavaux et al.
arXiv e-prints (2026) , arXiv:2602.02363; arXiv:2602.02363

The Velocity Field Olympics: assessing velocity field reconstructions with direct distance tracers
R. Stiskalek, H. Desmond, J. Devriendt, A. Slyz, G. Lavaux et al.
Monthly Notices of the Royal Astronomical Society (2026) 545, 2, staf1960; arXiv:2502.00121

A Bayesian catalog of 100 high-significance voids in the Local Universe
R. Malandrino, G. Lavaux, B. D. Wandelt, S. McAlpine, J. Jasche
Astronomy and Astrophysics (2026) 705, A160; arXiv:2507.06866

The mass distribution in and around the Local Group
E. Wempe, S. D. M. White, A. Helmi, G. Lavaux, J. Jasche
Nature Astronomy (2026) ; arXiv:2601.17125

Revisiting the Great Attractor: The Local Group's streamline trajectory, cosmic velocity and dynamical fate
R. Stiskalek, H. Desmond, S. McAlpine, G. Lavaux, J. Jasche et al.
arXiv e-prints (2026) , arXiv:2601.08524; arXiv:2601.08524

Enhancing Thermal Sunyaev-Zel'dovich Analyses with Digital Twins of the Local Universe
R. Stiskalek, H. Desmond
arXiv e-prints (2026) , arXiv:2601.15935; arXiv:2601.15935

The effect of environment on the mass assembly history of the Milky Way and M31
E. Wempe, A. Helmi, S. D. M. White, J. Jasche, G. Lavaux
Astronomy and Astrophysics (2025) 701, A178; arXiv:2501.08089

Diagnosing systematic effects using the inferred initial power spectrum
T. Hoellinger, F. Leclercq
Astronomy and Astrophysics (2025) 699, A224; arXiv:2412.04443

The Manticore Project I: a digital twin of our cosmic neighbourhood from Bayesian field-level analysis
S. McAlpine, J. Jasche, M. Ata, G. Lavaux, R. Stiskalek et al.
Monthly Notices of the Royal Astronomical Society (2025) 540, 1, 716; arXiv:2505.10682

Field-level inference of H₀ from simulated type Ia supernovae in a local Universe analogue
E. Tsaprazi, A. F. Heavens
Monthly Notices of the Royal Astronomical Society (2025) 539, 2, 1448; arXiv:2502.08385

COmoving Computer Acceleration (COCA): N-body simulations in an emulated frame of reference
D. J. Bartlett, M. Chiarenza, L. Doeser, F. Leclercq
Astronomy and Astrophysics (2025) 694, A287; arXiv:2409.02154

Hybrid summary statistics: neural weak lensing inference beyond the power spectrum
T. Lucas Makinen, A. Heavens, N. Porqueres, T. Charnock, A. Lapel et al.
Journal of Cosmology and Astroparticle Physics (2025) 2025, 1, 095; arXiv:2407.18909

Euclid: Field-level inference of primordial non-Gaussianity and cosmic initial conditions
A. Andrews, J. Jasche, G. Lavaux, F. Leclercq, F. Finelli et al.
arXiv e-prints (2024) , arXiv:2412.11945; arXiv:2412.11945

Bye-bye, Local-in-matter-density Bias: The Statistics of the Halo Field Are Poorly Determined by the Local Mass Density
D. J. Bartlett, M. Ho, B. D. Wandelt
The Astrophysical Journal (2024) 977, 2, L44; arXiv:2405.00635

Bayesian inference of initial conditions from non-linear cosmic structures using field-level emulators
L. Doeser, D. Jamieson, S. Stopyra, G. Lavaux, F. Leclercq et al.
Monthly Notices of the Royal Astronomical Society (2024) 535, 2, 1258; arXiv:2312.09271

Evaluating the variance of individual halo properties in constrained cosmological simulations
R. Stiskalek, H. Desmond, J. Devriendt, A. Slyz
Monthly Notices of the Royal Astronomical Society (2024) 534, 4, 3120; arXiv:2310.20672

Constrained cosmological simulations of the Local Group using Bayesian hierarchical field-level inference
E. Wempe, G. Lavaux, S. D. M. White, A. Helmi, J. Jasche et al.
Astronomy and Astrophysics (2024) 691, A348; arXiv:2406.02228

Hybrid Summary Statistics
T. L. Makinen, C. Sui, B. D. Wandelt, N. Porqueres, A. Heavens
arXiv e-prints (2024) , arXiv:2410.07548; arXiv:2410.07548

PineTree: A generative, fast, and differentiable halo model for wide-field galaxy surveys
S. Ding, G. Lavaux, J. Jasche
Astronomy and Astrophysics (2024) 690, A236; arXiv:2407.01391

An antihalo void catalogue of the Local Super-Volume
S. Stopyra, H. V. Peiris, A. Pontzen, J. Jasche, G. Lavaux
Monthly Notices of the Royal Astronomical Society (2024) 531, 2, 2213; arXiv:2311.12926

Towards accurate field-level inference of massive cosmic structures
S. Stopyra, H. V. Peiris, A. Pontzen, J. Jasche, G. Lavaux
Monthly Notices of the Royal Astronomical Society (2024) 527, 1, 1244; arXiv:2304.09193

Fishnets: Information-Optimal, Scalable Aggregation for Sets and Graphs
T. L. Makinen, J. Alsing, B. D. Wandelt
arXiv e-prints (2023) , arXiv:2310.03812; arXiv:2310.03812

Bayesian field-level inference of primordial non-Gaussianity using next-generation galaxy surveys
A. Andrews, J. Jasche, G. Lavaux, F. Schmidt
Monthly Notices of the Royal Astronomical Society (2023) 520, 4, 5746; arXiv:2203.08838

Field-level inference of cosmic shear with intrinsic alignments and baryons
N. Porqueres, A. Heavens, D. Mortlock, G. Lavaux, T. L. Makinen
arXiv e-prints (2023) , arXiv:2304.04785; arXiv:2304.04785

LyAl-Net: A high-efficiency Lyman-$\alpha$ forest simulation with a neural network
C. Boonkongkird, G. Lavaux, S. Peirani, Y. Dubois, N. Porqueres et al.
arXiv e-prints (2023) , arXiv:2303.17939; arXiv:2303.17939

Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity
V. Souveton, A. Guillin, J. Jasche, G. Lavaux, M. Michel
arXiv e-prints (2023) , arXiv:2302.01955; arXiv:2302.01955

Higher-order statistics of the large-scale structure from photometric redshifts
E. Tsaprazi, J. Jasche, G. Lavaux, F. Leclercq
arXiv e-prints (2023) , arXiv:2301.03581; arXiv:2301.03581

Field-based physical inference from peculiar velocity tracers
J. Prideaux-Ghee, F. Leclercq, G. Lavaux, A. Heavens, J. Jasche
Monthly Notices of the Royal Astronomical Society (2023) 518, 3, 4191; arXiv:2204.00023

Bayesian reconstruction of dark matter distribution from peculiar velocities: accounting for inhomogeneous Malmquist bias
S. S. Boruah, G. Lavaux, M. J. Hudson
Monthly Notices of the Royal Astronomical Society (2022) 517, 3, 4529; arXiv:2111.15535

The Cosmic Graph: Optimal Information Extraction from Large-Scale Structure using Catalogues
T. L. Makinen, T. Charnock, P. Lemos, N. Porqueres, A. F. Heavens et al.
The Open Journal of Astrophysics (2022) 5, 1, 18; arXiv:2207.05202

Constraints on dark matter annihilation and decay from the large-scale structure of the nearby Universe
D. J. Bartlett, A. Kostić, H. Desmond, J. Jasche, G. Lavaux
Physical Review D (2022) 106, 10, 103526; arXiv:2205.12916

The effect of local Universe constraints on halo abundance and clustering
M. L. Hutt, H. Desmond, J. Devriendt, A. Slyz
Monthly Notices of the Royal Astronomical Society (2022) 516, 3, 3592; arXiv:2203.14724

Simulation-based inference of Bayesian hierarchical models while checking for model misspecification
F. Leclercq
arXiv e-prints (2022) , arXiv:2209.11057; arXiv:2209.11057

Field-level inference of galaxy intrinsic alignment from the SDSS-III BOSS survey
E. Tsaprazi, N. Nguyen, J. Jasche, F. Schmidt, G. Lavaux
Journal of Cosmology and Astroparticle Physics (2022) 2022, 8, 003; arXiv:2112.04484

SIBELIUS-DARK: a galaxy catalogue of the local volume from a constrained realization simulation
S. McAlpine, J. C. Helly, M. Schaller, T. Sawala, G. Lavaux et al.
Monthly Notices of the Royal Astronomical Society (2022) 512, 4, 5823; arXiv:2202.04099

Catalogues of voids as antihaloes in the local Universe
H. Desmond, M. L. Hutt, J. Devriendt, A. Slyz
Monthly Notices of the Royal Astronomical Society (2022) 511, 1, L45; arXiv:2109.09439

The large-scale environment of thermonuclear and core-collapse supernovae
E. Tsaprazi, J. Jasche, A. Goobar, H. V. Peiris, I. Andreoni et al.
Monthly Notices of the Royal Astronomical Society (2022) 510, 1, 366; arXiv:2109.02651

Optimal machine-driven acquisition of future cosmological data
A. Kostić, J. Jasche, D. K. Ramanah, G. Lavaux
Astronomy and Astrophysics (2022) 657, L17; arXiv:2107.00657

Lifting weak lensing degeneracies with a field-based likelihood
N. Porqueres, A. Heavens, D. Mortlock, G. Lavaux
Monthly Notices of the Royal Astronomical Society (2022) 509, 3, 3194; arXiv:2108.04825

Kernel-based emulator for the 3D matter power spectrum from CLASS
A. Mootoovaloo, A. H. Jaffe, A. F. Heavens, F. Leclercq
Astronomy and Computing (2022) 38, 100508; arXiv:2105.02256

Constraints on quantum gravity and the photon mass from gamma ray bursts
D. J. Bartlett, H. Desmond, P. G. Ferreira, J. Jasche
Physical Review D (2021) 104, 10, 103516; arXiv:2109.07850

Lossless, scalable implicit likelihood inference for cosmological fields
T. L. Makinen, T. Charnock, J. Alsing, B. D. Wandelt
Journal of Cosmology and Astroparticle Physics (2021) 2021, 11, 049; arXiv:2107.07405

Constraints on equivalence principle violation from gamma ray bursts
D. J. Bartlett, D. Bergsdal, H. Desmond, P. G. Ferreira, J. Jasche
Physical Review D (2021) 104, 8, 084025; arXiv:2106.15290

Peculiar velocities in the local Universe: comparison of different models and the implications for H₀ and dark matter
S. S. Boruah, M. J. Hudson, G. Lavaux
Monthly Notices of the Royal Astronomical Society (2021) 507, 2, 2697; arXiv:2010.01119

On the accuracy and precision of correlation functions and field-level inference in cosmology
F. Leclercq, A. Heavens
Monthly Notices of the Royal Astronomical Society (2021) 506, 1, L85; arXiv:2103.04158

Sigma-eight at the percent level: the EFT likelihood in real space
F. Schmidt
Journal of Cosmology and Astroparticle Physics (2021) 2021, 4, 032; arXiv:2009.14176

Bayesian cosmological inference through implicit cross-correlation statistics
G. Lavaux, J. Jasche
arXiv e-prints (2021) , arXiv:2104.12992; arXiv:2104.12992

Bayesian forward modelling of cosmic shear data
N. Porqueres, A. Heavens, D. Mortlock, G. Lavaux
Monthly Notices of the Royal Astronomical Society (2021) 502, 2, 3035; arXiv:2011.07722

Impacts of the physical data model on the forward inference of initial conditions from biased tracers
N. Nguyen, F. Schmidt, G. Lavaux, J. Jasche
Journal of Cosmology and Astroparticle Physics (2021) 2021, 3, 058; arXiv:2011.06587

Velocity correction for Hubble constant measurements from standard sirens
S. Mukherjee, G. Lavaux, F. R. Bouchet, J. Jasche, B. D. Wandelt et al.
Astronomy and Astrophysics (2021) 646, A65; arXiv:1909.08627

Constraints on Galileons from the positions of supermassive black holes
D. J. Bartlett, H. Desmond, P. G. Ferreira
Physical Review D (2021) 103, 2, 023523; arXiv:2010.05811

Taking measurements of the kinematic Sunyaev-Zel'dovich effect forward: including uncertainties from velocity reconstruction with forward modeling
N. Nguyen, J. Jasche, G. Lavaux, F. Schmidt
Journal of Cosmology and Astroparticle Physics (2020) 2020, 12, 011; arXiv:2007.13721

Dynamical mass inference of galaxy clusters with neural flows
D. Kodi Ramanah, R. Wojtak, Z. Ansari, C. Gall, J. Hjorth
Monthly Notices of the Royal Astronomical Society (2020) 499, 2, 1985; arXiv:2003.05951

Galaxy morphology rules out astrophysically relevant Hu-Sawicki f (R ) gravity
H. Desmond, P. G. Ferreira
Physical Review D (2020) 102, 10, 104060; arXiv:2009.08743

Unbiased cosmology inference from biased tracers using the EFT likelihood
F. Schmidt, G. Cabass, J. Jasche, G. Lavaux
Journal of Cosmology and Astroparticle Physics (2020) 2020, 11, 008; arXiv:2004.06707

A hierarchical field-level inference approach to reconstruction from sparse Lyman-α forest data
N. Porqueres, O. Hahn, J. Jasche, G. Lavaux
Astronomy and Astrophysics (2020) 642, A139; arXiv:2005.12928

Cosmic flows in the nearby Universe: new peculiar velocities from SNe and cosmological constraints
S. S. Boruah, M. J. Hudson, G. Lavaux
Monthly Notices of the Royal Astronomical Society (2020) 498, 2, 2703; arXiv:1912.09383

Parameter inference for weak lensing using Gaussian Processes and MOPED
A. Mootoovaloo, A. F. Heavens, A. H. Jaffe, F. Leclercq
Monthly Notices of the Royal Astronomical Society (2020) 497, 2, 2213; arXiv:2005.06551

Super-resolution emulator of cosmological simulations using deep physical models
D. Kodi Ramanah, T. Charnock, F. Villaescusa-Navarro, B. D. Wandelt
Monthly Notices of the Royal Astronomical Society (2020) 495, 4, 4227; arXiv:2001.05519

Screened fifth forces lower the TRGB-calibrated Hubble constant too
H. Desmond, J. Sakstein
Physical Review D (2020) 102, 2, 023007; arXiv:2003.12876

Perfectly parallel cosmological simulations using spatial comoving Lagrangian acceleration
F. Leclercq, B. Faure, G. Lavaux, B. D. Wandelt, A. H. Jaffe et al.
Astronomy and Astrophysics (2020) 639, A91; arXiv:2003.04925

Neural physical engines for inferring the halo mass distribution function
T. Charnock, G. Lavaux, B. D. Wandelt, S. Sarma Boruah, J. Jasche et al.
Monthly Notices of the Royal Astronomical Society (2020) 494, 1, 50; arXiv:1909.06379

The EFT likelihood for large-scale structure
G. Cabass, F. Schmidt
Journal of Cosmology and Astroparticle Physics (2020) 2020, 4, 042; arXiv:1909.04022

Cosmology inference from a biased density field using the EFT-based likelihood
F. Elsner, F. Schmidt, J. Jasche, G. Lavaux, N. Nguyen
Journal of Cosmology and Astroparticle Physics (2020) 2020, 1, 029; arXiv:1906.07143

Testing self-interacting dark matter with galaxy warps
K. Pardo, H. Desmond, P. G. Ferreira
Physical Review D (2019) 100, 12, 123006; arXiv:1911.04497

Primordial power spectrum and cosmology from black-box galaxy surveys
F. Leclercq, W. Enzi, J. Jasche, A. Heavens
Monthly Notices of the Royal Astronomical Society (2019) 490, 3, 4237; arXiv:1902.10149

Wiener filtering and pure E/B decomposition of CMB maps with anisotropic correlated noise
D. Kodi Ramanah, G. Lavaux, B. D. Wandelt
Monthly Notices of the Royal Astronomical Society (2019) 490, 1, 947; arXiv:1906.10704

The peculiar velocity field up to z ∼ 0.05 by forward-modelling Cosmicflows-3 data
R. Graziani, H. M. Courtois, G. Lavaux, Y. Hoffman, R. B. Tully et al.
Monthly Notices of the Royal Astronomical Society (2019) 488, 4, 5438; arXiv:1901.01818

Inferring high-redshift large-scale structure dynamics from the Lyman-α forest
N. Porqueres, J. Jasche, G. Lavaux, T. Enßlin
Astronomy and Astrophysics (2019) 630, A151; arXiv:1907.02973

Systematic-free inference of the cosmic matter density field from SDSS3-BOSS data
G. Lavaux, J. Jasche, F. Leclercq
arXiv e-prints (2019) , arXiv:1909.06396; arXiv:1909.06396

Painting halos from cosmic density fields of dark matter with physically motivated neural networks
D. Kodi Ramanah, T. Charnock, G. Lavaux
Physical Review D (2019) 100, 4, 043515; arXiv:1903.10524

Local resolution of the Hubble tension: The impact of screened fifth forces on the cosmic distance ladder
H. Desmond, B. Jain, J. Sakstein
Physical Review D (2019) 100, 4, 043537; arXiv:1907.03778

Physical Bayesian modelling of the non-linear matter distribution: New insights into the nearby universe
J. Jasche, G. Lavaux
Astronomy and Astrophysics (2019) 625, A64; arXiv:1806.11117

Explicit Bayesian treatment of unknown foreground contaminations in galaxy surveys
N. Porqueres, D. Kodi Ramanah, J. Jasche, G. Lavaux
Astronomy and Astrophysics (2019) 624, A115; arXiv:1812.05113

The fifth force in the local cosmic web
H. Desmond, P. G. Ferreira, G. Lavaux, J. Jasche
Monthly Notices of the Royal Astronomical Society (2019) 483, 1, L64; arXiv:1802.07206

Cosmological inference from Bayesian forward modelling of deep galaxy redshift surveys
D. K. Ramanah, G. Lavaux, J. Jasche, B. D. Wandelt
Astronomy and Astrophysics (2019) 621, A69; arXiv:1808.07496

A rigorous EFT-based forward model for large-scale structure
F. Schmidt, F. Elsner, J. Jasche, N. M. Nguyen, G. Lavaux
Journal of Cosmology and Astroparticle Physics (2019) 2019, 1, 042; arXiv:1808.02002

Fifth force constraints from galaxy warps
H. Desmond, P. G. Ferreira, G. Lavaux, J. Jasche
Physical Review D (2018) 98, 8, 083010; arXiv:1807.11742

Fifth force constraints from the separation of galaxy mass components
H. Desmond, P. G. Ferreira, G. Lavaux, J. Jasche
Physical Review D (2018) 98, 6, 064015; arXiv:1807.01482

Bayesian optimization for likelihood-free cosmological inference
F. Leclercq
Physical Review D (2018) 98, 6, 063511; arXiv:1805.07152

The primordial magnetic field in our cosmic backyard
S. Hutschenreuter, S. Dorn, J. Jasche, F. Vazza, D. Paoletti et al.
Classical and Quantum Gravity (2018) 35, 15, 154001; arXiv:1803.02629

Optimal and fast E/B separation with a dual messenger field
D. Kodi Ramanah, G. Lavaux, B. D. Wandelt
Monthly Notices of the Royal Astronomical Society (2018) 476, 2, 2825; arXiv:1801.05358

Imprints of the large-scale structure on AGN formation and evolution
N. Porqueres, J. Jasche, T. A. Enßlin, G. Lavaux
Astronomy and Astrophysics (2018) 612, A31; arXiv:1710.07641

Automatic physical inference with information maximizing neural networks
T. Charnock, G. Lavaux, B. D. Wandelt
Physical Review D (2018) 97, 8, 083004; arXiv:1802.03537

Reconstructing the gravitational field of the local Universe
H. Desmond, P. G. Ferreira, G. Lavaux, J. Jasche
Monthly Notices of the Royal Astronomical Society (2018) 474, 3, 3152; arXiv:1705.02420

Bayesian power spectrum inference with foreground and target contamination treatment
J. Jasche, G. Lavaux
Astronomy and Astrophysics (2017) 606, A37; arXiv:1706.08971

The phase-space structure of nearby dark matter as constrained by the SDSS
F. Leclercq, J. Jasche, G. Lavaux, B. Wandelt, W. Percival
Journal of Cosmology and Astroparticle Physics (2017) 2017, 6, 049; arXiv:1601.00093

Wiener filter reloaded: fast signal reconstruction without preconditioning
D. Kodi Ramanah, G. Lavaux, B. D. Wandelt
Monthly Notices of the Royal Astronomical Society (2017) 468, 2, 1782; arXiv:1702.08852

Halo detection via large-scale Bayesian inference
A. I. Merson, J. Jasche, F. B. Abdalla, O. Lahav, B. Wandelt et al.
Monthly Notices of the Royal Astronomical Society (2016) 460, 2, 1340; arXiv:1505.03528

Comparing cosmic web classifiers using information theory
F. Leclercq, G. Lavaux, J. Jasche, B. Wandelt
Journal of Cosmology and Astroparticle Physics (2016) 2016, 8, 027; arXiv:1606.06758

Bayesian 3D velocity field reconstruction with VIRBIUS
G. Lavaux
Monthly Notices of the Royal Astronomical Society (2016) 457, 1, 172; arXiv:1512.04534

Unmasking the masked Universe: the 2M++ catalogue through Bayesian eyes
G. Lavaux, J. Jasche
Monthly Notices of the Royal Astronomical Society (2016) 455, 3, 3169; arXiv:1509.05040

Bayesian analysis of the dynamic cosmic web in the SDSS galaxy survey
F. Leclercq, J. Jasche, B. Wandelt
Journal of Cosmology and Astroparticle Physics (2015) 2015, 6, 015; arXiv:1502.02690

Cosmic web-type classification using decision theory
F. Leclercq, J. Jasche, B. Wandelt
Astronomy and Astrophysics (2015) 576, L17; arXiv:1503.00730

Dark matter voids in the SDSS galaxy survey
F. Leclercq, J. Jasche, P. M. Sutter, N. Hamaus, B. Wandelt
Journal of Cosmology and Astroparticle Physics (2015) 2015, 3, 047; arXiv:1410.0355

Matrix-free large-scale Bayesian inference in cosmology
J. Jasche, G. Lavaux
Monthly Notices of the Royal Astronomical Society (2015) 447, 2, 1204; arXiv:1402.1763

Past and present cosmic structure in the SDSS DR7 main sample
J. Jasche, F. Leclercq, B. D. Wandelt
Journal of Cosmology and Astroparticle Physics (2015) 2015, 1, 036; arXiv:1409.6308

Methods for Bayesian Power Spectrum Inference with Galaxy Surveys
J. Jasche, B. D. Wandelt
The Astrophysical Journal (2013) 779, 1, 15; arXiv:1306.1821

Bayesian physical reconstruction of initial conditions from large-scale structure surveys
J. Jasche, B. D. Wandelt
Monthly Notices of the Royal Astronomical Society (2013) 432, 2, 894; arXiv:1203.3639

Bayesian inference from photometric redshift surveys
J. Jasche, B. D. Wandelt
Monthly Notices of the Royal Astronomical Society (2012) 425, 2, 1042; arXiv:1106.2757

Bayesian non-linear large-scale structure inference of the Sloan Digital Sky Survey Data Release 7
J. Jasche, F. S. Kitaura, C. Li, T. A. Enßlin
Monthly Notices of the Royal Astronomical Society (2010) 409, 1, 355; arXiv:0911.2498

Fast Hamiltonian sampling for large-scale structure inference
J. Jasche, F. S. Kitaura
Monthly Notices of the Royal Astronomical Society (2010) 407, 1, 29; arXiv:0911.2496

Bayesian power-spectrum inference for large-scale structure data
J. Jasche, F. S. Kitaura, B. D. Wandelt, T. A. Enßlin
Monthly Notices of the Royal Astronomical Society (2010) 406, 1, 60; arXiv:0911.2493