Luca Amendola

About Luca Amendola

Luca Amendola, With an exceptional h-index of 67 and a recent h-index of 42 (since 2020), a distinguished researcher at Ruprecht-Karls-Universität Heidelberg, specializes in the field of Physics, Astrophysics, Cosmology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Euclid preparation-XXXII. Evaluating the weak-lensing cluster mass biases using the Three Hundred Project hydrodynamical simulations

Constraints on cosmologically coupled black holes from gravitational wave observations and minimal formation mass

Euclid preparation-XXXIII. Characterization of convolutional neural networks for the identification of galaxy-galaxy strong-lensing events

Euclid: Validation of the MontePython forecasting tools

Improving precision and accuracy in cosmology with model-independent spectrum and bispectrum

Euclid preparation

Spatial curvature with the Alcock-Paczynski effect

Testing the cosmological Poisson equation in a model-independent way

Luca Amendola Information

University

Position

Professor of Physics

Citations(all)

22781

Citations(since 2020)

9385

Cited By

16753

hIndex(all)

67

hIndex(since 2020)

42

i10Index(all)

177

i10Index(since 2020)

128

Email

University Profile Page

Google Scholar

Luca Amendola Skills & Research Interests

Physics

Astrophysics

Cosmology

Top articles of Luca Amendola

Euclid preparation-XXXII. Evaluating the weak-lensing cluster mass biases using the Three Hundred Project hydrodynamical simulations

Astronomy & Astrophysics

2024/1/1

Constraints on cosmologically coupled black holes from gravitational wave observations and minimal formation mass

Monthly Notices of the Royal Astronomical Society

2024/2

Euclid preparation-XXXIII. Characterization of convolutional neural networks for the identification of galaxy-galaxy strong-lensing events

Astronomy & Astrophysics

2024/1/1

Euclid: Validation of the MontePython forecasting tools

Astronomy & Astrophysics

2024/2/1

Improving precision and accuracy in cosmology with model-independent spectrum and bispectrum

Journal of Cosmology and Astroparticle Physics

2024/1/2

Euclid preparation

Astronomy & Astrophysics

2024/1/16

Spatial curvature with the Alcock-Paczynski effect

arXiv preprint arXiv:2404.13124

2024/4/19

Testing the cosmological Poisson equation in a model-independent way

Physics Letters B

2024/4/16

Ziyang Zheng
Ziyang Zheng

H-Index: 2

Luca Amendola
Luca Amendola

H-Index: 37

Euclid preparation-XXXVI. Modelling the weak lensing angular power spectrum

2024/1/26

The distribution of Bayes' ratio

arXiv preprint arXiv:2404.00744

2024/3/31

Luca Amendola
Luca Amendola

H-Index: 37

arXiv: Euclid: Constraining linearly scale-independent modifications of gravity with the spectroscopic and photometric primary probes

2023/6/21

Euclid: Constraining linearly scale-independent modifications of gravity with the spectroscopic and photometric primary probes

2023/6/21

Euclid: modelling massive neutrinos in cosmology—a code comparison

Journal of Cosmology and Astroparticle Physics

2023/6/1

Euclid preparation-XXV. The Euclid Morphology Challenge: Towards model-fitting photometry for billions of galaxies

Astronomy and Astrophysics

A model-independent tripartite test of cosmic distance relations

arXiv preprint arXiv:2311.17176

2023/11/28

Euclid: Identification of asteroid streaks in simulated images using deep learning

Astronomy & Astrophysics

2023/11/1

Constraining Horndeski theory with gravitational waves from coalescing binaries

Journal of Cosmology and Astroparticle Physics

2023/8/18

Euclid preparation-XXIV. Calibration of the halo mass function in Λ (ν) CDM cosmologies

Astronomy & Astrophysics

2023/3/1

Euclid preparation: XXVIII. Modelling of the weak lensing angular power spectrum

2023/2/9

Early and not so early dark energy. What do cosmological observations tell us about them?

2023

Ziyang Zheng
Ziyang Zheng

H-Index: 2

Luca Amendola
Luca Amendola

H-Index: 37

See List of Professors in Luca Amendola University(Ruprecht-Karls-Universität Heidelberg)

Co-Authors

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