Year of publication
2010 (3)
2012 (1)
2013 (2)
2015 (5)
2016 (4)
2017 (3)
2018 (8)
2019 (13)
2020 (14)
2021 (12)
2022 (14)
2023 (8)
2024 (8)
Publications by year
2024
Bayesian inference of initial conditions from non-linear cosmic structures using field-level emulators
Monthly Notices of the Royal Astronomical Society (2024) 535, 2, 1258; arXiv:2312.09271
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
Monthly Notices of the Royal Astronomical Society (2024) 534, 4, 3120; arXiv:2310.20672
Monthly Notices of the Royal Astronomical Society (2024) 534, 4, 3120; arXiv:2310.20672
PineTree: A generative, fast, and differentiable halo model for wide-field galaxy surveys
Astronomy and Astrophysics (2024) 690, A236; arXiv:2407.01391
Astronomy and Astrophysics (2024) 690, A236; arXiv:2407.01391
COmoving Computer Acceleration (COCA): $N$-body simulations in an emulated frame of reference
arXiv e-prints (2024) , arXiv:2409.02154; arXiv:2409.02154
arXiv e-prints (2024) , arXiv:2409.02154; arXiv:2409.02154
Hybrid summary statistics: neural weak lensing inference beyond the power spectrum
arXiv e-prints (2024) , arXiv:2407.18909; arXiv:2407.18909
arXiv e-prints (2024) , arXiv:2407.18909; arXiv:2407.18909
Constrained cosmological simulations of the Local Group using Bayesian hierarchical field-level inference
arXiv e-prints (2024) , arXiv:2406.02228; arXiv:2406.02228
arXiv e-prints (2024) , arXiv:2406.02228; arXiv:2406.02228
Towards accurate field-level inference of massive cosmic structures
Monthly Notices of the Royal Astronomical Society (2024) 527, 1, 1244; arXiv:2304.09193
Monthly Notices of the Royal Astronomical Society (2024) 527, 1, 1244; arXiv:2304.09193
2023
Fishnets: Information-Optimal, Scalable Aggregation for Sets and Graphs
arXiv e-prints (2023) , arXiv:2310.03812; arXiv:2310.03812
arXiv e-prints (2023) , arXiv:2310.03812; arXiv:2310.03812
Bayesian field-level inference of primordial non-Gaussianity using next-generation galaxy surveys
Monthly Notices of the Royal Astronomical Society (2023) 520, 4, 5746; arXiv:2203.08838
Monthly Notices of the Royal Astronomical Society (2023) 520, 4, 5746; arXiv:2203.08838
No evidence for p- or d-wave dark matter annihilation from local large-scale structure
arXiv e-prints (2023) , arXiv:2304.10301; arXiv:2304.10301
arXiv e-prints (2023) , arXiv:2304.10301; arXiv:2304.10301
Field-level inference of cosmic shear with intrinsic alignments and baryons
arXiv e-prints (2023) , arXiv:2304.04785; arXiv:2304.04785
arXiv e-prints (2023) , arXiv:2304.04785; arXiv:2304.04785
LyAl-Net: A high-efficiency Lyman-$\alpha$ forest simulation with a neural network
arXiv e-prints (2023) , arXiv:2303.17939; arXiv:2303.17939
arXiv e-prints (2023) , arXiv:2303.17939; arXiv:2303.17939
Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity
arXiv e-prints (2023) , arXiv:2302.01955; arXiv:2302.01955
arXiv e-prints (2023) , arXiv:2302.01955; arXiv:2302.01955
Higher-order statistics of the large-scale structure from photometric redshifts
arXiv e-prints (2023) , arXiv:2301.03581; arXiv:2301.03581
arXiv e-prints (2023) , arXiv:2301.03581; arXiv:2301.03581
Field-based physical inference from peculiar velocity tracers
Monthly Notices of the Royal Astronomical Society (2023) 518, 3, 4191; arXiv:2204.00023
Monthly Notices of the Royal Astronomical Society (2023) 518, 3, 4191; arXiv:2204.00023
2022
Bayesian reconstruction of dark matter distribution from peculiar velocities: accounting for inhomogeneous Malmquist bias
Monthly Notices of the Royal Astronomical Society (2022) 517, 3, 4529; arXiv:2111.15535
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
The Open Journal of Astrophysics (2022) 5, 1, 18; arXiv:2207.05202
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
Physical Review D (2022) 106, 10, 103526; arXiv:2205.12916
Physical Review D (2022) 106, 10, 103526; arXiv:2205.12916
The effect of local Universe constraints on halo abundance and clustering
Monthly Notices of the Royal Astronomical Society (2022) 516, 3, 3592; arXiv:2203.14724
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
arXiv e-prints (2022) , arXiv:2209.11057; arXiv:2209.11057
arXiv e-prints (2022) , arXiv:2209.11057; arXiv:2209.11057
Field-level inference of galaxy intrinsic alignment from the SDSS-III BOSS survey
Journal of Cosmology and Astroparticle Physics (2022) 2022, 8, 003; arXiv:2112.04484
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
Monthly Notices of the Royal Astronomical Society (2022) 512, 4, 5823; arXiv:2202.04099
Monthly Notices of the Royal Astronomical Society (2022) 512, 4, 5823; arXiv:2202.04099
Catalogues of voids as antihaloes in the local Universe
Monthly Notices of the Royal Astronomical Society (2022) 511, 1, L45; arXiv:2109.09439
Monthly Notices of the Royal Astronomical Society (2022) 511, 1, L45; arXiv:2109.09439
The large-scale environment of thermonuclear and core-collapse supernovae
Monthly Notices of the Royal Astronomical Society (2022) 510, 1, 366; arXiv:2109.02651
Monthly Notices of the Royal Astronomical Society (2022) 510, 1, 366; arXiv:2109.02651
Optimal machine-driven acquisition of future cosmological data
Astronomy and Astrophysics (2022) 657, L17; arXiv:2107.00657
Astronomy and Astrophysics (2022) 657, L17; arXiv:2107.00657
Lifting weak lensing degeneracies with a field-based likelihood
Monthly Notices of the Royal Astronomical Society (2022) 509, 3, 3194; arXiv:2108.04825
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
Astronomy and Computing (2022) 38, 100508; arXiv:2105.02256
Astronomy and Computing (2022) 38, 100508; arXiv:2105.02256
2021
Constraints on quantum gravity and the photon mass from gamma ray bursts
Physical Review D (2021) 104, 10, 103516; arXiv:2109.07850
Physical Review D (2021) 104, 10, 103516; arXiv:2109.07850
Lossless, scalable implicit likelihood inference for cosmological fields
Journal of Cosmology and Astroparticle Physics (2021) 2021, 11, 049; arXiv:2107.07405
Journal of Cosmology and Astroparticle Physics (2021) 2021, 11, 049; arXiv:2107.07405
Constraints on equivalence principle violation from gamma ray bursts
Physical Review D (2021) 104, 8, 084025; arXiv:2106.15290
Physical Review D (2021) 104, 8, 084025; arXiv:2106.15290
Peculiar velocities in the local Universe: comparison of different models and the implications for H<SUB>0</SUB> and dark matter
Monthly Notices of the Royal Astronomical Society (2021) 507, 2, 2697; arXiv:2010.01119
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
Monthly Notices of the Royal Astronomical Society (2021) 506, 1, L85; arXiv:2103.04158
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
Journal of Cosmology and Astroparticle Physics (2021) 2021, 4, 032; arXiv:2009.14176
Journal of Cosmology and Astroparticle Physics (2021) 2021, 4, 032; arXiv:2009.14176
Bayesian cosmological inference through implicit cross-correlation statistics
arXiv e-prints (2021) , arXiv:2104.12992; arXiv:2104.12992
arXiv e-prints (2021) , arXiv:2104.12992; arXiv:2104.12992
Bayesian forward modelling of cosmic shear data
Monthly Notices of the Royal Astronomical Society (2021) 502, 2, 3035; arXiv:2011.07722
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
Journal of Cosmology and Astroparticle Physics (2021) 2021, 3, 058; arXiv:2011.06587
Journal of Cosmology and Astroparticle Physics (2021) 2021, 3, 058; arXiv:2011.06587
Velocity correction for Hubble constant measurements from standard sirens
Astronomy and Astrophysics (2021) 646, A65; arXiv:1909.08627
Astronomy and Astrophysics (2021) 646, A65; arXiv:1909.08627
Constraints on Galileons from the positions of supermassive black holes
Physical Review D (2021) 103, 2, 023523; arXiv:2010.05811
Physical Review D (2021) 103, 2, 023523; arXiv:2010.05811
2020
Taking measurements of the kinematic Sunyaev-Zel'dovich effect forward: including uncertainties from velocity reconstruction with forward modeling
Journal of Cosmology and Astroparticle Physics (2020) 2020, 12, 011; arXiv:2007.13721
Journal of Cosmology and Astroparticle Physics (2020) 2020, 12, 011; arXiv:2007.13721
Dynamical mass inference of galaxy clusters with neural flows
Monthly Notices of the Royal Astronomical Society (2020) 499, 2, 1985; arXiv:2003.05951
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
Physical Review D (2020) 102, 10, 104060; arXiv:2009.08743
Physical Review D (2020) 102, 10, 104060; arXiv:2009.08743
Unbiased cosmology inference from biased tracers using the EFT likelihood
Journal of Cosmology and Astroparticle Physics (2020) 2020, 11, 008; arXiv:2004.06707
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
Astronomy and Astrophysics (2020) 642, A139; arXiv:2005.12928
Astronomy and Astrophysics (2020) 642, A139; arXiv:2005.12928
Cosmic flows in the nearby Universe: new peculiar velocities from SNe and cosmological constraints
Monthly Notices of the Royal Astronomical Society (2020) 498, 2, 2703; arXiv:1912.09383
Monthly Notices of the Royal Astronomical Society (2020) 498, 2, 2703; arXiv:1912.09383
Parameter inference for weak lensing using Gaussian Processes and MOPED
Monthly Notices of the Royal Astronomical Society (2020) 497, 2, 2213; arXiv:2005.06551
Monthly Notices of the Royal Astronomical Society (2020) 497, 2, 2213; arXiv:2005.06551
Super-resolution emulator of cosmological simulations using deep physical models
Monthly Notices of the Royal Astronomical Society (2020) 495, 4, 4227; arXiv:2001.05519
Monthly Notices of the Royal Astronomical Society (2020) 495, 4, 4227; arXiv:2001.05519
Screened fifth forces lower the TRGB-calibrated Hubble constant too
Physical Review D (2020) 102, 2, 023007; arXiv:2003.12876
Physical Review D (2020) 102, 2, 023007; arXiv:2003.12876
Super-resolution emulator of cosmological simulations using deep physical models
Monthly Notices of the Royal Astronomical Society (2020) 495, 4227; arXiv:2001.05519
Monthly Notices of the Royal Astronomical Society (2020) 495, 4227; arXiv:2001.05519
Perfectly parallel cosmological simulations using spatial comoving Lagrangian acceleration
Astronomy and Astrophysics (2020) 639, A91; arXiv:2003.04925
Astronomy and Astrophysics (2020) 639, A91; arXiv:2003.04925
Neural physical engines for inferring the halo mass distribution function
Monthly Notices of the Royal Astronomical Society (2020) 494, 1, 50; arXiv:1909.06379
Monthly Notices of the Royal Astronomical Society (2020) 494, 1, 50; arXiv:1909.06379
The EFT likelihood for large-scale structure
Journal of Cosmology and Astroparticle Physics (2020) 2020, 4, 042; arXiv:1909.04022
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
Journal of Cosmology and Astroparticle Physics (2020) 2020, 1, 029; arXiv:1906.07143
Journal of Cosmology and Astroparticle Physics (2020) 2020, 1, 029; arXiv:1906.07143
2019
Testing self-interacting dark matter with galaxy warps
Physical Review D (2019) 100, 12, 123006; arXiv:1911.04497
Physical Review D (2019) 100, 12, 123006; arXiv:1911.04497
Primordial power spectrum and cosmology from black-box galaxy surveys
Monthly Notices of the Royal Astronomical Society (2019) 490, 3, 4237; arXiv:1902.10149
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
Monthly Notices of the Royal Astronomical Society (2019) 490, 1, 947; arXiv:1906.10704
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
Monthly Notices of the Royal Astronomical Society (2019) 488, 4, 5438; arXiv:1901.01818
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
Astronomy and Astrophysics (2019) 630, A151; arXiv:1907.02973
Astronomy and Astrophysics (2019) 630, A151; arXiv:1907.02973
Systematic-free inference of the cosmic matter density field from SDSS3-BOSS data
arXiv e-prints (2019) , arXiv:1909.06396; arXiv:1909.06396
arXiv e-prints (2019) , arXiv:1909.06396; arXiv:1909.06396
Painting halos from cosmic density fields of dark matter with physically motivated neural networks
Physical Review D (2019) 100, 4, 043515; arXiv:1903.10524
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
Physical Review D (2019) 100, 4, 043537; arXiv:1907.03778
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
Astronomy and Astrophysics (2019) 625, A64; arXiv:1806.11117
Astronomy and Astrophysics (2019) 625, A64; arXiv:1806.11117
Explicit Bayesian treatment of unknown foreground contaminations in galaxy surveys
Astronomy and Astrophysics (2019) 624, A115; arXiv:1812.05113
Astronomy and Astrophysics (2019) 624, A115; arXiv:1812.05113
The fifth force in the local cosmic web
Monthly Notices of the Royal Astronomical Society (2019) 483, 1, L64; arXiv:1802.07206
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
Astronomy and Astrophysics (2019) 621, A69; arXiv:1808.07496
Astronomy and Astrophysics (2019) 621, A69; arXiv:1808.07496
A rigorous EFT-based forward model for large-scale structure
Journal of Cosmology and Astroparticle Physics (2019) 2019, 1, 042; arXiv:1808.02002
Journal of Cosmology and Astroparticle Physics (2019) 2019, 1, 042; arXiv:1808.02002
2018
Fifth force constraints from the separation of galaxy mass components
Physical Review D (2018) 98, 6, 064015; arXiv:1807.01482
Physical Review D (2018) 98, 6, 064015; arXiv:1807.01482
Bayesian optimization for likelihood-free cosmological inference
Physical Review D (2018) 98, 6, 063511; arXiv:1805.07152
Physical Review D (2018) 98, 6, 063511; arXiv:1805.07152
The primordial magnetic field in our cosmic backyard
Classical and Quantum Gravity (2018) 35, 15, 154001; arXiv:1803.02629
Classical and Quantum Gravity (2018) 35, 15, 154001; arXiv:1803.02629
Optimal and fast E/B separation with a dual messenger field
Monthly Notices of the Royal Astronomical Society (2018) 476, 2, 2825; arXiv:1801.05358
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
Astronomy and Astrophysics (2018) 612, A31; arXiv:1710.07641
Astronomy and Astrophysics (2018) 612, A31; arXiv:1710.07641
Automatic physical inference with information maximizing neural networks
Physical Review D (2018) 97, 8, 083004; arXiv:1802.03537
Physical Review D (2018) 97, 8, 083004; arXiv:1802.03537
Reconstructing the gravitational field of the local Universe
Monthly Notices of the Royal Astronomical Society (2018) 474, 3, 3152; arXiv:1705.02420
Monthly Notices of the Royal Astronomical Society (2018) 474, 3, 3152; arXiv:1705.02420
2017
Bayesian power spectrum inference with foreground and target contamination treatment
Astronomy and Astrophysics (2017) 606, A37; arXiv:1706.08971
Astronomy and Astrophysics (2017) 606, A37; arXiv:1706.08971
The phase-space structure of nearby dark matter as constrained by the SDSS
Journal of Cosmology and Astroparticle Physics (2017) 2017, 6, 049; arXiv:1601.00093
Journal of Cosmology and Astroparticle Physics (2017) 2017, 6, 049; arXiv:1601.00093
Wiener filter reloaded: fast signal reconstruction without preconditioning
Monthly Notices of the Royal Astronomical Society (2017) 468, 2, 1782; arXiv:1702.08852
Monthly Notices of the Royal Astronomical Society (2017) 468, 2, 1782; arXiv:1702.08852
2016
Halo detection via large-scale Bayesian inference
Monthly Notices of the Royal Astronomical Society (2016) 460, 2, 1340; arXiv:1505.03528
Monthly Notices of the Royal Astronomical Society (2016) 460, 2, 1340; arXiv:1505.03528
Comparing cosmic web classifiers using information theory
Journal of Cosmology and Astroparticle Physics (2016) 2016, 8, 027; arXiv:1606.06758
Journal of Cosmology and Astroparticle Physics (2016) 2016, 8, 027; arXiv:1606.06758
Bayesian 3D velocity field reconstruction with VIRBIUS
Monthly Notices of the Royal Astronomical Society (2016) 457, 1, 172; arXiv:1512.04534
Monthly Notices of the Royal Astronomical Society (2016) 457, 1, 172; arXiv:1512.04534
Unmasking the masked Universe: the 2M++ catalogue through Bayesian eyes
Monthly Notices of the Royal Astronomical Society (2016) 455, 3, 3169; arXiv:1509.05040
Monthly Notices of the Royal Astronomical Society (2016) 455, 3, 3169; arXiv:1509.05040
2015
Bayesian analysis of the dynamic cosmic web in the SDSS galaxy survey
Journal of Cosmology and Astroparticle Physics (2015) 2015, 6, 015; arXiv:1502.02690
Journal of Cosmology and Astroparticle Physics (2015) 2015, 6, 015; arXiv:1502.02690
Cosmic web-type classification using decision theory
Astronomy and Astrophysics (2015) 576, L17; arXiv:1503.00730
Astronomy and Astrophysics (2015) 576, L17; arXiv:1503.00730
Dark matter voids in the SDSS galaxy survey
Journal of Cosmology and Astroparticle Physics (2015) 2015, 3, 047; arXiv:1410.0355
Journal of Cosmology and Astroparticle Physics (2015) 2015, 3, 047; arXiv:1410.0355
Matrix-free large-scale Bayesian inference in cosmology
Monthly Notices of the Royal Astronomical Society (2015) 447, 2, 1204; arXiv:1402.1763
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
Journal of Cosmology and Astroparticle Physics (2015) 2015, 1, 036; arXiv:1409.6308
Journal of Cosmology and Astroparticle Physics (2015) 2015, 1, 036; arXiv:1409.6308
2013
Methods for Bayesian Power Spectrum Inference with Galaxy Surveys
The Astrophysical Journal (2013) 779, 1, 15; arXiv:1306.1821
The Astrophysical Journal (2013) 779, 1, 15; arXiv:1306.1821
Bayesian physical reconstruction of initial conditions from large-scale structure surveys
Monthly Notices of the Royal Astronomical Society (2013) 432, 2, 894; arXiv:1203.3639
Monthly Notices of the Royal Astronomical Society (2013) 432, 2, 894; arXiv:1203.3639
2012
Bayesian inference from photometric redshift surveys
Monthly Notices of the Royal Astronomical Society (2012) 425, 2, 1042; arXiv:1106.2757
Monthly Notices of the Royal Astronomical Society (2012) 425, 2, 1042; arXiv:1106.2757
2010
Bayesian non-linear large-scale structure inference of the Sloan Digital Sky Survey Data Release 7
Monthly Notices of the Royal Astronomical Society (2010) 409, 1, 355; arXiv:0911.2498
Monthly Notices of the Royal Astronomical Society (2010) 409, 1, 355; arXiv:0911.2498
Fast Hamiltonian sampling for large-scale structure inference
Monthly Notices of the Royal Astronomical Society (2010) 407, 1, 29; arXiv:0911.2496
Monthly Notices of the Royal Astronomical Society (2010) 407, 1, 29; arXiv:0911.2496
Bayesian power-spectrum inference for large-scale structure data
Monthly Notices of the Royal Astronomical Society (2010) 406, 1, 60; arXiv:0911.2493
Monthly Notices of the Royal Astronomical Society (2010) 406, 1, 60; arXiv:0911.2493