Explicit Bayesian treatment of unknown foreground contaminations in galaxy surveys
N. Porqueres, D. Kodi Ramanah, J. Jasche, G. Lavaux
Cosmological inference from Bayesian forward modelling of deep galaxy redshift surveys
D. Kodi Ramanah, G. Lavaux, J. Jasche, B. D. Wandelt
A rigorous EFT-based forward model for large-scale structure
F. Schmidt, F. Elsner, J. Jasche, N. M. Nguyen, G. Lavaux
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
Physical Bayesian modelling of the non-linear matter distribution: new insights into the Nearby Universe
J. Jasche, G. Lavaux
Bayesian optimisation for likelihood-free cosmological inference
F. Leclercq
Phys. Rev. D 98, 063511; arXiv:1805.07152arxiv
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
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
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
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
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
Bayesian inference from photometric redshift surveys
J. Jasche, B. D. Wandelt
MNRAS 425, 1042-1056; arXiv:1106.2757arxiv
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