Years of publications
Publications by years
2021
On the accuracy and precision of correlation functions and field-level inference in cosmology
arXiv:2103.04158
arXiv:2103.04158

2020
Impacts of the physical data model on the forward inference of initial conditions from biased tracers
arXiv:2011.06587
arXiv:2011.06587

Peculiar velocities in the local Universe: comparison of different models and the implications for H0 and dark matter
arXiv:2010.01119
arXiv:2010.01119

Taking measurements of the kinematic Sunyaev-Zel'dovich effect forward: including uncertainties from velocity reconstruction with forward modeling
JCAP 12, 011; arXiv:2007.13721
JCAP 12, 011; arXiv:2007.13721

Screened fifth forces lower the TRGB-calibrated Hubble constant too
PRD 102, 023007; arXiv:2003.12876
PRD 102, 023007; arXiv:2003.12876

A hierarchical field-level inference approach to reconstruction from sparse Lyman-α forest data
A&A 642, A139 ; arXiv:2005.12928
A&A 642, A139 ; arXiv:2005.12928

Unbiased Cosmology Inference from Biased Tracers using the EFT-based Likelihood
JCAP 11, 008; arXiv:2004.06707
JCAP 11, 008; arXiv:2004.06707

Dynamical mass inference of galaxy clusters with neural flows
MNRAS 499, 1985-1997; arXiv:2003.05951
MNRAS 499, 1985-1997; arXiv:2003.05951

Perfectly parallel cosmological simulations using spatial comoving Lagrangian acceleration
A&A 639, A91; arXiv:2003.04925
A&A 639, A91; arXiv:2003.04925

Super-resolution emulator of cosmological simulations using deep physical models
MNRAS 495, 4227-4236; arXiv:2001.05519
MNRAS 495, 4227-4236; arXiv:2001.05519

2019
Cosmic flows in the nearby Universe: new peculiar velocities from SNe and cosmological constraints
MNRAS 498, 2703-2718; arXiv:1912.09383
MNRAS 498, 2703-2718; arXiv:1912.09383

Neural physical engines for inferring the halo mass distribution function
MNRAS 494, 50-61; arXiv:1909.06379
MNRAS 494, 50-61; arXiv:1909.06379

Inferring high redshift large-scale structure dynamics from the Lyman-alpha forest
A&A 630, A151; arXiv:1907.02973
A&A 630, A151; arXiv:1907.02973

A local resolution of the Hubble tension: The impact of screened fifth forces on the cosmic distance ladder
PRD 100, 043537; arXiv:1907.03778
PRD 100, 043537; arXiv:1907.03778

Wiener filtering and pure E/B decomposition of CMB maps with anisotropic correlated noise
MNRAS 490, 947; arXiv:1906.10704
MNRAS 490, 947; arXiv:1906.10704

Painting halos from cosmic density fields of dark matter with physically motivated neural networks
PRD 100, 043515; arXiv:1903.10524
PRD 100, 043515; arXiv:1903.10524

Explicit Bayesian treatment of unknown foreground contaminations in galaxy surveys
A&A 624, A115; arXiv:1812.05113
A&A 624, A115; arXiv:1812.05113

Cosmological inference from Bayesian forward modelling of deep galaxy redshift surveys
A&A 621, A69; arXiv:1808.07496
A&A 621, A69; arXiv:1808.07496

Physical Bayesian modelling of the non-linear matter distribution: new insights into the Nearby Universe
A&A 625, A64; arXiv:1806.11117
A&A 625, A64; arXiv:1806.11117

The peculiar velocity field up to z~0.05 by forward-modeling Cosmicflows-3 data
MNRAS 488, 5438-5451; arXiv:1901.01818
MNRAS 488, 5438-5451; arXiv:1901.01818

2018
Fifth force constraints from separation of galaxy mass components
Phys. Rev. D 98, 064015; arXiv:1807.01482
Phys. Rev. D 98, 064015; arXiv:1807.01482

Bayesian optimisation for likelihood-free cosmological inference
Phys. Rev. D 98, 063511; arXiv:1805.07152
Phys. Rev. D 98, 063511; arXiv:1805.07152

Automatic physical inference with information maximising neural networks
Phys. Rev. D 97, 083004; arXiv:1802.03537
Phys. Rev. D 97, 083004; arXiv:1802.03537

2017
Bayesian power-spectrum inference with foreground and target contamination treatment
A&A 606, A37; arXiv:1706.08971
A&A 606, A37; arXiv:1706.08971

Wiener filter reloaded: fast signal reconstruction without preconditioning
MNRAS 468, 1782-1793; arXiv:1702.08852
MNRAS 468, 1782-1793; arXiv:1702.08852

The phase-space structure of nearby dark matter as constrained by the SDSS
JCAP 6, 49; arXiv:1601.00093
JCAP 6, 49; arXiv:1601.00093

2016
Unmasking the Masked Universe: the 2M++ catalogue through Bayesian eyes
MNRAS 455, 3169-3179; arXiv:1509.05040
MNRAS 455, 3169-3179; arXiv:1509.05040

2015
2013
Bayesian physical reconstruction of initial conditions from large scale structure surveys
MNRAS 432, 894-913; arXiv:1203.3639
MNRAS 432, 894-913; arXiv:1203.3639

2012
2010
Bayesian non-linear large scale structure inference of the Sloan Digital Sky Survey data release 7
MNRAS 409, 355-370; arXiv:0911.2498
MNRAS 409, 355-370; arXiv:0911.2498
