2020
A hierarchical field-level inference approach to reconstruction from sparse Lyman-α forest data
N. Porqueres, O. Hahn, J. Jasche, G. Lavaux
arXiv:2005.12928arxiv
Unbiased Cosmology Inference from Biased Tracers using the EFT-based Likelihood
F. Schmidt, G. Cabass, J. Jasche, G. Lavaux
arXiv:2004.06707arxiv
Dynamical mass inference of galaxy clusters with neural flows
D. Kodi Ramanah, R. Wojtak, Z. Ansari, C. Gall, J. Hjorth
arXiv:2003.05951arxiv
Perfectly parallel cosmological simulations using spatial comoving Lagrangian acceleration
F. Leclercq, B. Faure, G. Lavaux, B. D. Wandelt, A. H. Jaffe, A. F. Heavens, W. J. Percival, C. Noûs
arXiv:2003.04925arxiv
Super-resolution emulator of cosmological simulations using deep physical models
D. Kodi Ramanah, T. Charnock, F. Villaescusa-Navarro, B. D. Wandelt
arXiv:2001.05519arxiv
2019
Cosmic flows in the nearby Universe: new peculiar velocities from SNe and cosmological constraints
S. Sarma Boruah, M. J. Hudson, G. Lavaux
arXiv:1912.09383arxiv
Velocity debiasing for Hubble constant measurements from standard sirens
S. Mukherjee, G. Lavaux, F. R. Bouchet, J. Jasche, B. D. Wandelt, S. M. Nissanke, F. Leclercq, K. Hotokezaka
arXiv:1909.08627arxiv
Neural physical engines for inferring the halo mass distribution function
T. Charnock, G. Lavaux, B. D. Wandelt, S. Sarma Boruah, J. Jasche, M. J. Hudson
arXiv:1909.06379arxiv
Systematic-free inference of the cosmic matter density field from SDSS3-BOSS data
G. Lavaux, J. Jasche, F. Leclercq
arXiv:1909.06396arxiv
The Likelihood For Large-Scale Structure
G. Cabass, F. Schmidt
arXiv:1909.04022arxiv
Cosmology Inference from Biased Tracers using the EFT-based Likelihood
F. Elsner, F. Schmidt, J. Jasche, G. Lavaux, M. Nguyen
arXiv:1906.07143arxiv
Inferring high redshift large-scale structure dynamics from the Lyman-alpha forest
N. Porqueres, J. Jasche, G. Lavaux, T. Ensslin
A&A 630, A151; arXiv:1907.02973arxiv
A local resolution of the Hubble tension: The impact of screened fifth forces on the cosmic distance ladder
H. Desmond, B. Jain, J. Sakstein
PRD 100, 043537; arXiv:1907.03778arxiv
Wiener filtering and pure E/B decomposition of CMB maps with anisotropic correlated noise
D. Kodi Ramanah, G. Lavaux, B. D. Wandelt
MNRAS 490, 947; arXiv:1906.10704arxiv
Painting halos from cosmic density fields of dark matter with physically motivated neural networks
D. Kodi Ramanah, T. Charnock, G. Lavaux
PRD 100, 043515; arXiv:1903.10524arxiv
Primordial power spectrum and cosmology from black-box galaxy surveys
F. Leclercq, W. Enzi, J. Jasche, A. Heavens
arXiv:1902.10149arxiv
Explicit Bayesian treatment of unknown foreground contaminations in galaxy surveys
N. Porqueres, D. Kodi Ramanah, J. Jasche, G. Lavaux
A&A 624, A115; arXiv:1812.05113arxiv
Cosmological inference from Bayesian forward modelling of deep galaxy redshift surveys
D. Kodi Ramanah, G. Lavaux, J. Jasche, B. D. Wandelt
A&A 621, A69; arXiv:1808.07496arxiv
A rigorous EFT-based forward model for large-scale structure
F. Schmidt, F. Elsner, J. Jasche, N. M. Nguyen, G. Lavaux
JCAP 1, 42; arXiv:1808.02002arxiv
Physical Bayesian modelling of the non-linear matter distribution: new insights into the Nearby Universe
J. Jasche, G. Lavaux
A&A 625, A64; arXiv:1806.11117arxiv
The peculiar velocity field up to z~0.05 by forward-modeling Cosmicflows-3 data
R. Graziani, H. M. Courtois, G. Lavaux, Y. Hoffman, R. B. Tully, Y. Copin, D. Pomarède
MNRAS 488, 5438-5451; arXiv:1901.01818arxiv
2018
Fifth force constraints from galaxy warps
H. Desmond, P. Ferreira, G. Lavaux, J. Jasche
Phys. Rev. D 98, 083010; arXiv:1807.11742arxiv
Fifth force constraints from separation of galaxy mass components
H. Desmond, P. Ferreira, G. Lavaux, J. Jasche
Phys. Rev. D 98, 064015; arXiv:1807.01482arxiv
Bayesian optimisation for likelihood-free cosmological inference
F. Leclercq
Phys. Rev. D 98, 063511; arXiv:1805.07152arxiv
The Fifth Force in the Local Cosmic Web
H. Desmond, P. Ferreira, G. Lavaux, J. Jasche
Mon. Not. Roy. Astro. Soc. L 483, L64-L68; arXiv:1802.07206arxiv
The primordial magnetic field in our cosmic backyard
S. Hutschenreuter, S. Dorn, J. Jasche, F. Vazza, D. Paoletti, G. Lavaux, T. A. Enßlin
CQG 35, 154001; arXiv:1803.02629arxiv
Automatic physical inference with information maximising neural networks
T. Charnock, G. Lavaux, B. D. Wandelt
Phys. Rev. D 97, 083004; arXiv:1802.03537arxiv
Optimal and fast E/B separation with a dual messenger field
D. Kodi Ramanah, G. Lavaux, B. D. Wandelt
MNRAS 476, 2825-2834; arXiv:1801.05358arxiv
Imprints of the large-scale structure on AGN formation and evolution
N. Porqueres, J. Jasche, T. Ensslin, G. Lavaux
A&A 612, A31; arXiv:1710.07641arxiv
Reconstructing the gravitational field of the local universe
H. Desmond, P. G. Ferreira, G. Lavaux, J. Jasche
MNRAS 474, 3152-3161; arXiv:1705.02420arxiv
2017
Bayesian power-spectrum inference with foreground and target contamination treatment
J. Jasche, G. Lavaux
A&A 606, A37; arXiv:1706.08971arxiv
Wiener filter reloaded: fast signal reconstruction without preconditioning
D. Kodi Ramanah, G. Lavaux, B. D. Wandelt
MNRAS 468, 1782-1793; arXiv:1702.08852arxiv
The phase-space structure of nearby dark matter as constrained by the SDSS
F. Leclercq, J. Jasche, G. Lavaux, B. Wandelt, W. Percival
JCAP 6, 49; arXiv:1601.00093arxiv
2016
Comparing cosmic web classifiers using information theory
F. Leclercq, G. Lavaux, J. Jasche, B. Wandelt
JCAP 8, 27; arXiv:1606.06758arxiv
Bayesian 3d velocity field reconstruction with VIRBIuS
G. Lavaux
MNRAS 457, 172-197; arXiv:1512.04534arxiv
Unmasking the Masked Universe: the 2M++ catalogue through Bayesian eyes
G. Lavaux, J. Jasche
MNRAS 455, 3169-3179; arXiv:1509.05040arxiv
Halo detection via large-scale Bayesian inference
A. I. Merson, J. Jasche, F. B. Abdalla, O. Lahav, B. D. Wandelt, H. D. Jones, M. Colless
MNRAS 460, 1340-1355; arXiv:1505.03528arxiv
2015
Cosmic web-type classification using decision theory
F. Leclercq, J. Jasche, B. Wandelt
A&A Letters 576, L17; arXiv:1503.00730arxiv
Bayesian analysis of the dynamic cosmic web in the SDSS galaxy survey
F. Leclercq, J. Jasche, B. Wandelt
JCAP 6, 15; arXiv:1502.02690arxiv
Dark matter voids in the SDSS galaxy survey
F. Leclercq, J. Jasche, P. M. Sutter, N. Hamaus, B. Wandelt
JCAP 3, 47; arXiv:1410.0355arxiv
Past and present cosmic structure in the SDSS DR7 main sample
J. Jasche, F. Leclercq, B. D. Wandelt
JCAP 1, 36; arXiv:1409.6308arxiv
Matrix-free Large Scale Bayesian inference in cosmology
J. Jasche, G. Lavaux
MNRAS 447, 1204-1212; arXiv:1402.1763arxiv
2013
Methods for Bayesian power spectrum inference with galaxy surveys
J. Jasche, B. D. Wandelt
ApJ 779, 15; arXiv:1306.1821arxiv
Bayesian physical reconstruction of initial conditions from large scale structure surveys
J. Jasche, B. D. Wandelt
MNRAS 432, 894-913; arXiv:1203.3639arxiv
2012
Bayesian inference from photometric redshift surveys
J. Jasche, B. D. Wandelt
MNRAS 425, 1042-1056; arXiv:1106.2757arxiv
2010
Bayesian power-spectrum inference for Large Scale Structure data
J. Jasche, F. S. Kitaura, B. D. Wandelt, T. A. Enßlin
MNRAS 406, 60-85; arXiv:0911.2493arxiv