TK
T. Kacprzak
astro-ph.COcs.LGastro-ph.GAastro-ph.IMstat.MLeess.IVastro-ph.EPastro-ph.SRcond-mat.mtrl-scics.AI
On Valency
published · living versionsW_6gyhc5ze·v1 · currentpublished
Dark Energy Survey Year 1 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing
with DES Collaboration, T. M. C. Abbott, F. B. Abdalla, A. Alarcon +195
1 version
Preprints & journals
93 papers in the corpus · 2012–2026GalSBI: Forward Modelling Galaxy Clustering and Population2606.23783v1 · Silvan Fischbacher, Luca Tortorelli, Tomasz Kacprzak et al.2026 · 0 citationsarXiv
Dark Energy Survey Year 3 results: optimized CDM simulation-based inference with weak lensing map-level hybrid statistics2606.11309v1 · J. Williamson, T. L. Makinen, N. Porqueres et al.2026 · 0 citationsarXiv
Dark Energy Survey Year 6 Results: Cosmological Constraints from Cosmic Shear2602.10065v1 · T. M. C. Abbott, M. Aguena, A. Alarcon et al.2026 · 2 citationsarXiv
Dark Energy Survey Year 6 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing2601.14559v2 · T. M. C. Abbott, M. Adamow, M. Aguena et al.2026 · 0 citationsarXiv
Dark Energy Survey Year 6 Results: Weak Lensing and Galaxy Clustering Cosmological Analysis Framework2601.14859v2 · D. Sanchez-Cid, A. Fert'e, J. Blazek et al.2026 · 1 citationPhys. Rev. D 114, 063506 (2026)
Dark Energy Survey Year 6 Results: Galaxy-galaxy lensing2601.15175v2 · G. Giannini, G. Camacho-Ciurana, A. Whyley et al.2026 · 2 citationsPhysical Review D, Volume 113, Issue 10, id.103503, 30 pp, May 2026
Dark Energy Survey Year 6 Results: MagLim++ Lens Sample Selection and Measurements of Galaxy Clustering2601.14484v1 · N. Weaverdyck, M. Rodr'iguez-Monroy, J. Elvin-Poole et al.2026 · 0 citationsarXiv
Dark Energy Survey Year 3 results: Simulation-based CDM inference from weak lensing and galaxy clustering maps with deep learning: Analysis design2511.04681v2 · A. Thomsen, J. Bucko, T. Kacprzak et al.2025 · 3 citationsarXiv
GalSBI-SPS: a stellar population synthesis-based galaxy population model for cosmology and galaxy evolution applications2505.21610v3 · Luca Tortorelli, Silvan Fischbacher, Daniel Grun et al.2025 · 1 citationA&A 703, A255 (2025)
Scalable Approximate Algorithms for Optimal Transport Linear Models2504.04609v1 · Tomasz Kacprzak, Francois Kamper, Michael W. Heiss et al.2025 · 0 citationsarXiv
SHAM-OT: Rapid Subhalo Abundance Matching with Optimal Transport2502.17553v2 · Silvan Fischbacher, Tomasz Kacprzak, Luis Fernando Machado Poletti Valle et al.2025 · 3 citationsMon. Not. R. Astron. Soc. Lett., 542, L53-L59 (2025)
Interpretability of deep-learning methods applied to large-scale structure surveys2501.18333v1 · Gaspard Aymerich, Tomasz Kacprzak, Alexandre Refregier2025 · 0 citationsA&A 709, A78 (2026)
GalSBI: Phenomenological galaxy population model for cosmology using simulation-based inference2412.08701v4 · Silvan Fischbacher, Tomasz Kacprzak, Luca Tortorelli et al.2024 · 5 citationsJCAP06(2025)007
UFig v1: The ultra-fast image generator2412.08716v3 · Silvan Fischbacher, Beatrice Moser, Tomasz Kacprzak et al.2024 · 3 citationsJournal of Open Source Software, 10(113), 8697 (2025)
galsbi: A Python package for the GalSBI galaxy population model2412.08722v3 · Silvan Fischbacher, Beatrice Moser, Tomasz Kacprzak et al.2024 · 4 citationsJournal of Open Source Software, 10(114), 8766 (2025)
Dark Energy Survey Year 3 results: simulation-based cosmological inference with wavelet harmonics, scattering transforms, and moments of weak lensing mass maps II. Cosmological results2405.10881v1 · M. Gatti, G. Campailla, N. Jeffrey et al.2024 · 15 citationsarXiv
Laue Indexing with Optimal Transport2404.06478v1 · Tomasz Kacprzak, Stavros Samothrakitis, Camilla Buhl Larsen et al.2024 · 0 citationsarXiv
Dark Energy Survey Year 3 results: likelihood-free, simulation-based CDM inference with neural compression of weak-lensing map statistics2403.02314v1 · N. Jeffrey, L. Whiteway, M. Gatti et al.2024 · 46 citationsarXiv
Simulation-based inference of deep fields: galaxy population model and redshift distributions2401.06846v2 · Beatrice Moser, Tomasz Kacprzak, Silvan Fischbacher et al.2024 · 13 citationsJCAP05(2024)049
Dark Energy Survey Year 3 results: simulation-based cosmological inference with wavelet harmonics, scattering transforms, and moments of weak lensing mass maps I: validation on simulations2310.17557v2 · M. Gatti, N. Jeffrey, L. Whiteway et al.2023 · 0 citationsarXiv
Fast Forward Modelling of Galaxy Spatial and Statistical Distributions2310.15223v2 · Pascale Berner, Alexandre Refregier, Beatrice Moser et al.2023 · 7 citationsarXiv
Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers2310.12528v1 · D. Huppenkothen, M. Ntampaka, M. Ho et al.2023 · 2 citationsarXiv
pt combined probes: pipeline, neutrino mass, and data compression2309.03258v3 · Alexander Reeves, Andrina Nicola, Alexandre Refregier et al.2023 · 0 citationsarXiv
Beyond the 3rd moment: A practical study of using lensing convergence CDFs for cosmology with DES Y32308.03863v1 · D. Anbajagane, C. Chang, A. Banerjee et al.2023 · 25 citationsarXiv
Detection of the significant impact of source clustering on higher-order statistics with DES Year 3 weak gravitational lensing data2307.13860v2 · M. Gatti, N. Jeffrey, L. Whiteway et al.2023 · 22 citationsarXiv
Cosmology from Galaxy Redshift Surveys with PointNet2211.12346v1 · Sotiris Anagnostidis, Arne Thomsen, Tomasz Kacprzak et al.2022 · 5 citationsarXiv
CosmoGridV1: a simulated CDM theory prediction for map-level cosmological inference2209.04662v2 · Tomasz Kacprzak, Janis Fluri, Aurel Schneider et al.2022 · 35 citationsarXiv
Assessing theoretical uncertainties for cosmological constraints from weak lensing surveys2207.03598v1 · Ting Tan, Dominik Zuercher, Janis Fluri et al.2022 · 6 citationsarXiv
Redshift requirements for cosmic shear with intrinsic alignment2207.01627v2 · Silvan Fischbacher, Tomasz Kacprzak (1, Jonathan Blazek et al.2022 · 22 citationsJCAP01(2023)033
Constraining the Baryonic Feedback with Cosmic Shear Using the DES Year-3 Small-Scale Measurements2206.08591v1 · A. Chen, G. Arico, D. Huterer et al.2022 · 47 citationsarXiv
Towards a full CDM map-based analysis for weak lensing surveys2206.01450v3 · Dominik Zurcher, Janis Fluri, Virginia Ajani et al.2022 · 22 citationsarXiv
DeepLSS: breaking parameter degeneracies in large scale structure with deep learning analysis of combined probes2203.09616v1 · Tomasz Kacprzak, Janis Fluri2022 · 19 citationsarXiv
A Full CDM Analysis of KiDS-1000 Weak Lensing Maps using Deep Learning2201.07771v2 · Janis Fluri, Tomasz Kacprzak, Aurelien Lucchi et al.2022 · 54 citationsPhys. Rev. D 105, 083518 (2022)
A tomographic spherical mass map emulator of the KiDS-1000 survey using conditional generative adversarial networks2112.12741v5 · Timothy Wing Hei Yiu, Janis Fluri, Tomasz Kacprzak2021 · 8 citationsJCAP 12(2022)013
Rapid Simulations of Halo and Subhalo Clustering2112.08389v2 · Pascale Berner, Alexandre Refregier, Raphael Sgier et al.2021 · 10 citationsJCAP11(2022)002
The DES view of the Eridanus supervoid and the CMB Cold Spot2112.07699v1 · A. Kov'acs, N. Jeffrey, M. Gatti et al.2021 · 37 citationsarXiv
Dark Energy Survey Year 3 results: Cosmology with peaks using an emulator approach2110.10135v2 · D. Zurcher, J. Fluri, R. Sgier et al.2021 · 73 citationsarXiv
Dark Energy Survey Year 3 results: cosmology with moments of weak lensing mass maps2110.10141v2 · M.Gatti, B. Jain, C. Chang et al.2021 · 65 citationsarXiv
Cosmological Parameter Estimation and Inference using Deep Summaries2107.09002v2 · Janis Fluri, Aurelien Lucchi, Tomasz Kacprzak et al.2021 · 15 citationsPhys. Rev. D 104, 123526 (2021)
The PAU Survey: Measurement of Narrow-band galaxy properties with Approximate Bayesian Computation2106.02651v2 · Luca Tortorelli, Malgorzata Siudek, Beatrice Moser et al.2021 · 23 citationsarXiv
Dark Energy Survey Year 3 results: curved-sky weak lensing mass map reconstruction2105.13539v2 · N. Jeffrey, M. Gatti, C. Chang et al.2021 · 90 citationsMonthly Notices of the Royal Astronomical Society, Volume 505, Issue 3, August 2021, Pages 4626-4645
Dark Energy Survey Year 3 Results: Cosmology from Cosmic Shear and Robustness to Modeling Uncertainty2105.13544v2 · L. F. Secco, S. Samuroff, E. Krause et al.2021 · 386 citationsarXiv
Fast Lightcones for Combined Cosmological Probes2007.05735v2 · Raphael Sgier, Janis Fluri, Jorg Herbel et al.2020 · 18 citationsarXiv
Cosmological Forecast for non-Gaussian Statistics in large-scale weak Lensing Surveys2006.12506v1 · Dominik Zurcher, Janis Fluri, Raphael Sgier et al.2020 · 69 citationsarXiv
Predicting Cosmological Observables with PyCosmo2005.00543v1 · F. Tarsitano, U. Schmitt, A. Refregier et al.2020 · 14 citationsarXiv
Emulation of cosmological mass maps with conditional generative adversarial networks2004.08139v2 · Nathanael Perraudin, Sandro Marcon, Aurelien Lucchi et al.2020 · 17 citationsarXiv
Measurement of the B-band Galaxy Luminosity Function with Approximate Bayesian Computation2001.07727v2 · Luca Tortorelli, Martina Fagioli, Jorg Herbel et al.2020 · 28 citationsarXiv
Baryonic effects for weak lensing. Part II. Combination with X-ray data and extended cosmologies1911.08494v2 · Aurel Schneider, Alexandre Refregier, Sebastian Grandis et al.2019 · 59 citationsarXiv
Cosmological N-body simulations: a challenge for scalable generative models1908.05519v2 · Nathanael Perraudin, Ankit Srivastava, Aurelien Lucchi et al.2019 · 39 citationsarXiv
Cosmological constraints with deep learning from KiDS-450 weak lensing maps1906.03156v2 · Janis Fluri, Tomasz Kacprzak, Aurelien Lucchi et al.2019 · 151 citationsPhys. Rev. D 100, 063514 (2019)
Career total: 132 works. 93 are in this corpus.Showing the 50 most recent.
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