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Edoardo Altamura
Observed names:
Altamura, E.,
Altamura, Edoardo,
E. Altamura
Institutions:
Rutherford Appleton Laboratory,
Science and Technology Facilities Council,
University of Cambridge,
University of Manchester,
Sci-Tech Daresbury
Observed institutions:
Rutherford Appleton Laboratory,
Science and Technology Facilities Council,
University of Cambridge,
Daresbury Laboratory,
University of Manchester,
Sci-Tech Daresbury
show all 6
ORCID:
0000-0001-6973-1897
Observed ORCID:
0000-0001-6973-1897
OpenAlex ID:
A5066895652
The impact of stochastic modelling on the predictive power of galaxy formation simulations
2023
·
Josh Borrow
, Matthieu Schaller
, et al.
·
Monthly Notices of the Royal Astronomical Society
·
35
PDF
EAGLE-like simulation models do not solve the entropy core problem in groups and clusters of galaxies
2023
·
Edoardo Altamura
, Scott T Kay
, et al.
·
Monthly Notices of the Royal Astronomical Society
·
20
PDF
Inferring the dark matter splashback radius from cluster gas and observable profiles in the FLAMINGO simulations
2024
·
Imogen Towler
, Scott T Kay
, et al.
·
Monthly Notices of the Royal Astronomical Society
·
13
PDF
Galaxy cluster rotation revealed in the MACSIS simulations with the kinetic Sunyaev–Zeldovich effect
2023
·
Edoardo Altamura
, Scott T Kay
, et al.
·
Monthly Notices of the Royal Astronomical Society
·
12
PDF
Gas clumping and its effect on hydrostatic bias in the MACSIS simulations
2023
·
Imogen Towler
, Scott T Kay
, et al.
·
Monthly Notices of the Royal Astronomical Society
·
11
PDF
Euclid preparation
2025
·
K. Koyama
, S. Pamuk
, et al.
·
Astronomy and Astrophysics
·
8
Euclid preparation
2024
·
J. Adamek
, B. Fiorini
, et al.
·
Astronomy and Astrophysics
·
8
PDF
Euclid preparation
2024
·
G. Rácz
, M.-A. Breton
, et al.
·
Astronomy and Astrophysics
·
5
Euclid preparation - LXXI. Simulations and nonlinearities beyond ΛCDM. 3. Constraints on f(R) models from the photometric primary probes
2024
·
Euclid Collaboration
, Koyama, Kazuya
, et al.
·
MPG.PuRe (Max Planck Society)
·
4
Quantum chemistry with provable convergence via randomized sample-based Krylov quantum diagonalization
2025
·
Piccinelli, Samuele
, Baiardi, Alberto
, et al.
·
arXiv (Cornell University)
·
3
PDF
The impact of stochastic modeling on the predictive power of galaxy formation simulations
2022
·
Borrow, Josh
, Schaller, Matthieu
, et al.
·
arXiv (Cornell University)
·
3
PDF
Evolving a Multi-Population Evolutionary-QAOA on Distributed QPUs
2025
·
Francesca Schiavello
, Edoardo Altamura
, et al.
·
IEEE International Conference on Quantum Computing and Engineering (QCE)
·
2
PDF
Serendipitous Discovery of a Physical Binary Quasar at z = 1.76
2020
·
E. Altamura
, S. Brennan
, et al.
·
The Astronomical Journal
·
2
PDF
Approximate quantum circuit compilation for proton-transfer kinetics on quantum processors
2026
·
Arseny Kovyrshin
, Dilhan Manawadu
, et al.
·
Physical Chemistry Chemical Physics
·
1
Entropy plateaus can emerge from gas replacement at a characteristic halo mass in simulated groups and clusters of galaxies
2025
·
Edoardo Altamura
, Scott T Kay
, et al.
·
Monthly Notices of the Royal Astronomical Society
·
1
Galaxy cluster rotation revealed in the MACSIS simulations with the kinetic Sunyaev-Zeldovich effect
2023
·
Altamura, Edoardo
, Kay, Scott T.
, et al.
·
arXiv (Cornell University)
·
1
PDF
Discovery of a binary quasar at z = 1.76
2019
·
Edoardo Altamura
, S. Brennan
, et al.
·
Research at the University of Copenhagen (University of Copenhagen)
·
1
Euclid preparation. The shape of halo profiles in $Λ$CDM and non-standard cosmologies
2026
·
Pizzuti, L
, Ferron, G.Y
, et al.
·
HAL (Le Centre pour la Communication Scientifique Directe)
Dataset and Code for "Impact of Data Loss in Postprocessing on Training and Inference of Quantum Neural Networks"
2026
·
Panambalom, Soraya
, Altamura, Edoardo
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Dataset and Code for "Impact of Data Loss in Postprocessing on Training and Inference of Quantum Neural Networks"
2026
·
Panambalom, Soraya
, Altamura, Edoardo
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Impact of Data Loss in Postprocessing on Training and Inference of Quantum Neural Networks
2026
·
Panambalom, Soraya V.
, Altamura, Edoardo
, et al.
·
arXiv (Cornell University)
PDF
Euclid preparation. The shape of halo profiles in $Λ$CDM and non-standard cosmologies
2026
·
Euclid Collaboration
, Pizzuti, L.
, et al.
·
arXiv (Cornell University)
PDF
Sensitivity of Next-Generation CMB Surveys to Neutrinos and Other Light Relics
2026
·
Trendafilova, Cynthia
, Raghunathan, Srinivasan
, et al.
·
arXiv (Cornell University)
PDF
QRMI
2026
·
Ohtani, Munetaka
, Wennersteen, Aleksander
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Quantum kernel support vector machines for trabecular bone classification: comparing feature reduction strategies on synthetic micro-CT data
2026
·
Isabella Florez
, Ahmed Farhat
, et al.
·
bioRxiv (Cold Spring Harbor Laboratory)
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Works count:
34
Citation count:
121
H-index:
6
I10-index:
5
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