RT
Roberto Trotta
astro-ph.COhep-phastro-phastro-ph.IMastro-ph.GAastro-ph.HEgr-qccs.LGphysics.data-anhep-ex
On Valency
published · living versionsW_tz72xez4·v1 · currentpublished
ECH0EZ: Estimating the Hubble constant with ZTF SN Ia DR2
with Konstantin Karchev, Marco Giunta, Raul Jimenez, Licia Verde
1 version
W_a7z64yms·v1published
Preprints & journals
123 papers in the corpus · 2001–2026The colour variability of low-z SNe Ia is entirely explained by dust2606.06593v1 · Marco Giunta, Konstantin Karchev, Roberto Trotta2026 · 0 citationsarXiv
21cmEMUv3: a hybrid diffusion-LSTM emulator of 21cmFAST summary observables2606.00219v1 · Daniela Breitman, Andrei Mesinger, Steven G. Murray et al.2026 · 0 citationsarXiv
Field-level multi-tracers simulation-based inference of cosmological parameters from 3D maps2605.26210v1 · Giulio Scelfo, Satvik Mishra, Mauro Rigo et al.2026 · 0 citationsarXiv
Impact of sky localization uncertainty on ringdown inference2605.18595v1 · Kallol Dey, Enrico Barausse, Marco Crisostomi et al.2026 · 0 citationsarXiv
The indiscriminate adoption of AI threatens the foundations of academia2602.10165v1 · Roberto Trotta2026 · 6 citationsNat. Astron. 9, 1748-1749 (2025)
Opportunities in AI/ML for the Rubin LSST Dark Energy Science Collaboration2601.14235v1 · Eric Aubourg, Camille Avestruz, Matthew R. Becker et al.2026 · 0 citationsarXiv
Cosmo-FOLD: Fast generation and upscaling of field-level cosmological maps with overlap latent diffusion2601.14377v1 · Satvik Mishra, Roberto Trotta, Matteo Viel2026 · 0 citationsarXiv
Dark Matter profiles of "in silico" galaxies: deep learning inference2510.18964v2 · Mart'in de los Rios, Serafina Di Gioia, Fabio Iocco et al.2025 · 0 citationsJCAP05(2026)094
CIGaRS I: Combined simulation-based inference from type Ia supernovae and host photometry2508.15899v2 · Konstantin Karchev, Roberto Trotta, Raul Jimenez2025 · 1 citationarXiv
Simulation-based population inference of LISA's Galactic binaries: Bypassing the global fit2506.22543v2 · Rahul Srinivasan, Enrico Barausse, Natalia Korsakova et al.2025 · 5 citationsPhys. Rev. D 112, 103043 (2025)
Large, fast and accurate HI intensity maps with latent overlap diffusion2506.08086v2 · Satvik Mishra, Roberto Trotta, Matteo Viel2025 · 2 citationsMon Not R Astron Soc (2025)
Rotary Masked Autoencoders are Versatile Learners2505.20535v3 · Uros Zivanovic, Serafina Di Gioia, Andre Scaffidi et al.2025 · 0 citationsAdvances in Neural Information Processing Systems 38, NeurIPS 2025, Pages 133952-133987
On the effects of parameters on galaxy properties in CAMELS and the predictability of 2503.22654v1 · Gabriella Contardo, Roberto Trotta, Serafina Di Gioia et al.2025 · 2 citationsAstrophys.J. 988 (2025) 1, 54
Near-instantaneous Atmospheric Retrievals and Model Comparison with FASTER2502.18045v2 · Anna Lueber, Konstantin Karchev, Chloe Fisher et al.2025 · 7 citationsApJL 984 L32 (2025)
Human-LLM Coevolution: Evidence from Academic Writing2502.09606v2 · Mingmeng Geng, Roberto Trotta2025 · 8 citationsarXiv
JERALD: high-fidelity dark matter, stellar mass and neutral hydrogen maps from fast N-body simulations2501.09168v1 · Mauro Rigo, Roberto Trotta, Matteo Viel2025 · 1 citationMNRAS, 541, 1 (2025), 166-178
The EDGES measurement disfavors an excess radio background during the cosmic dawn2411.08134v1 · Junsong Cang, Andrei Mesinger, Steven G. Murray et al.2024 · 13 citationsA&A 698, A152 (2025)
Neutrinoless Double Beta Decay Sensitivity of the XLZD Rare Event Observatory2410.19016v2 · J. Aalbers, K. Abe, M. Adrover et al.2024 · 12 citationsJ. Phys. G: Nucl. Part. Phys. 52 (2025) 045102
The XLZD Design Book: Towards the Next-Generation Liquid Xenon Observatory for Dark Matter and Neutrino Physics2410.17137v3 · J. Aalbers, K. Abe, M. Adrover et al.2024 · 31 citationsEur. Phys. J. C (2025) 85: 1192
Model-independent searches of new physics in DARWIN with a semi-supervised deep learning pipeline2410.00755v2 · J. Aalbers, K. Abe, M. Adrover et al.2024 · 1 citationarXiv
StratLearn-z: Improved photo- estimation from spectroscopic data subject to selection effects2409.20379v2 · Chiara Moretti, Maximilian Autenrieth, Riccardo Serra et al.2024 · 1 citationThe Open Journal of Astrophysics, 8 (2025)
STAR NRE: Solving supernova selection effects with set-based truncated auto-regressive neural ratio estimation2409.03837v2 · Konstantin Karchev, Roberto Trotta2024 · 2 citationsJCAP 07 (2025) 031
Dark Matter Halo Parameters from Overheated Exoplanets via Bayesian Hierarchical Inference2405.09578v1 · Mar'ia Benito, Konstantin Karchev, Rebecca K. Leane et al.2024 · 8 citationsarXiv
Bayesian evidence estimation from posterior samples with normalizing flows2404.12294v3 · Rahul Srinivasan, Marco Crisostomi, Roberto Trotta et al.2024 · 17 citationsPhysRevD.110.123007(2024)
Is ChatGPT Transforming Academics' Writing Style?2404.08627v2 · Mingmeng Geng, Roberto Trotta2024 · 6 citationsarXiv
Parameter estimation from Ly forest in Fourier space using Information Maximising Neural Network2404.04327v1 · Soumak Maitra, Stefano Cristiani, Matteo Viel et al.2024 · 2 citationsA&A 690, A154 (2024)
SIDE-real: Supernova Ia Dust Extinction with truncated marginal neural ratio estimation applied to real data2403.07871v2 · Konstantin Karchev, Matthew Grayling, Benjamin M. Boyd et al.2024 · 9 citationsMon. Notices Royal Astron. Soc. 530 (2024) 3881-3896
Improved Weak Lensing Photometric Redshift Calibration via StratLearn and Hierarchical Modeling2401.04687v2 · Maximilian Autenrieth, Angus H. Wright, Roberto Trotta et al.2024 · 7 citationsMNRAS, 534, Issue 4 (2024), 3808-3831
SimSIMS: Simulation-based Supernova Ia Model Selection with thousands of latent variables2311.15650v1 · Konstantin Karchev, Roberto Trotta, Christoph Weniger2023 · 5 citationsarXiv
21cmEMU: an emulator of 21cmFAST summary observables2309.05697v3 · Daniela Breitman, Andrei Mesinger, Steven Murray et al.2023 · 36 citationsMNRAS, 527, 4 (2024) 9833--9852,
Extreme data compression for Bayesian model comparison2306.15998v2 · Alan F. Heavens, Arrykrishna Mootoovaloo, Roberto Trotta et al.2023 · 1 citationarXiv
Cosmogenic background simulations for the DARWIN observatory at different underground locations2306.16340v1 · M. Adrover, L.Althueser, B. Andrieu et al.2023 · 9 citationsarXiv
Neural Posterior Estimation with guaranteed exact coverage: the ringdown of GW1509142305.18528v2 · Marco Crisostomi, Kallol Dey, Enrico Barausse et al.2023 · 43 citationsPhys. Rev. D 108, 044029 (2023)
SICRET: Supernova Ia Cosmology with truncated marginal neural Ratio EsTimation2209.06733v2 · Konstantin Karchev, Roberto Trotta, Christoph Weniger2022 · 32 citationsMon. Notices Royal Astron. Soc. 520 (2023) 1056-1072
Simple and statistically sound recommendations for analysing physical theories.35522172 · AbdusSalam, Shehu S, Agocs, Fruzsina J, Allanach, Benjamin C et al.2022 · 22 citationsReports on progress in physics. Physical Society (Great Britain). 2022;85(5)
GPU-based optical simulation of the DARWIN detector2203.14354v2 · L. Althueser, B. Antunovi'c, E. Aprile et al.2022 · 7 citationsJINST 17 (2022) P07018
EuCAPT White Paper: Opportunities and Challenges for Theoretical Astroparticle Physics in the Next Decade2110.10074v1 · R. Alves Batista, M. A. Amin, G. Barenboim et al.2021 · 36 citationsarXiv
New Constraints on Anisotropic Expansion from Supernovae Type Ia2108.12497v2 · W. Rahman, R. Trotta, S. S. Boruah et al.2021 · 3 citationsarXiv
Stratified Learning: A General-Purpose Statistical Method for Improved Learning under Covariate Shift2106.11211v2 · Maximilian Autenrieth, David A. van Dyk, Roberto Trotta et al.2021 · 8 citationsStat. Anal. Data Min.: ASA Data Sci. J. 17 (2024), e11643
Identification of high-energy astrophysical point sources via hierarchical Bayesian nonparametric clustering2104.11492v2 · Andrea Sottosanti, Mauro Bernardi, Alessandra R. Brazzale et al.2021 · 0 citationsarXiv
Solar Neutrino Detection Sensitivity in DARWIN via Electron Scattering2006.03114v2 · J. Aalbers, F. Agostini, S. E. M. Ahmed Maouloud et al.2020 · 60 citationsarXiv
Sensitivity of the DARWIN observatory to the neutrinoless double beta decay of Xe2003.13407v2 · F. Agostini, S. E. M. Ahmed Maouloud, L. Althueser et al.2020 · 63 citationsEur. Phys. J. C 80, 808 (2020)
Structure Formation Models Weaken Limits on WIMP Dark Matter from Dwarf Spheroidal Galaxies2002.11956v2 · Shin'ichiro Ando, Alex Geringer-Sameth, Nagisa Hiroshima et al.2020 · 53 citationsPhys. Rev. D 102, 061302 (2020)
Bayesian reconstruction of the Milky Way dark matter distribution1901.02463v2 · Ekaterina V. Karukes, Maria Benito, Fabio Iocco et al.2019 · 56 citationsJCAP09(2019)046
A Global Analysis of Dark Matter Signals from 27 Dwarf Spheroidal Galaxies using 11 Years of Fermi-LAT Observations1812.06986v2 · Sebastian Hoof, Alex Geringer-Sameth, Roberto Trotta2018 · 116 citationsJCAP 02 (2020) 012
Cosmology and fundamental physics with the Euclid satellite.29674941 · Amendola, Luca, Appleby, Stephen, Avgoustidis, Anastasios et al.2023 · 1,009 citationsLiving reviews in relativity. 2018;21(1):2
Retrieval Analysis of the Emission Spectrum of WASP-12b: Sensitivity of Outcomes to Prior Assumptions and Implications for Formation History1709.00338v1 · Maria Oreshenko, Baptiste Lavie, Simon L. Grimm et al.2017 · 42 citationsarXiv
STACCATO: A Novel Solution to Supernova Photometric Classification with Biased Training Sets1706.03811v3 · Esben A. Revsbech, Roberto Trotta, David A. van Dyk2017 · 42 citationsMNRAS, Volume 473, Issue 3, January 2018, 3969-3986
Bayesian Methods in Cosmology1701.01467v1 · Roberto Trotta (Imperial)2017 · 78 citationsarXiv
Projected distances to host galaxy reduce SNIa dispersion1612.04417v3 · R. Hill (UBC, Imperial), H. Shariff (Imperial) et al.2016 · 12 citationsarXiv
Career total: at least 188 works. 123 are in this corpus.Showing the 50 most recent.
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