EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues A&A, 379 1 (2001) 115-124 Article references

Articles citing this article

The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).

Cited article:

Cosmology intertwined: A review of the particle physics, astrophysics, and cosmology associated with the cosmological tensions and anomalies

Elcio Abdalla, Guillermo Franco Abellán, Amin Aboubrahim, et al.
Journal of High Energy Astrophysics 34 49 (2022)
https://doi.org/10.1016/j.jheap.2022.04.002

Testing the ΛCDM paradigm with growth rate data and machine learning

Rubén Arjona, Alessandro Melchiorri and Savvas Nesseris
Journal of Cosmology and Astroparticle Physics 2022 (05) 047 (2022)
https://doi.org/10.1088/1475-7516/2022/05/047

Machine learning constraints on deviations from general relativity from the large scale structure of the Universe

George Alestas, Lavrentios Kazantzidis and Savvas Nesseris
Physical Review D 106 (10) (2022)
https://doi.org/10.1103/PhysRevD.106.103519

Modeling of Spiral Structure in a Multi-Component Milky Way-Like Galaxy

Sergey Khrapov, Alexander Khoperskov and Vladimir Korchagin
Galaxies 9 (2) 29 (2021)
https://doi.org/10.3390/galaxies9020029

Machine learning forecasts of the cosmic distance duality relation with strongly lensed gravitational wave events

Rubén Arjona, Hai-Nan Lin, Savvas Nesseris and Li Tang
Physical Review D 103 (10) (2021)
https://doi.org/10.1103/PhysRevD.103.103513

Complementary consistency test of the Copernican principle via Noether’s theorem and machine learning forecasts

Rubén Arjona and Savvas Nesseris
Physical Review D 104 (10) (2021)
https://doi.org/10.1103/PhysRevD.104.103532

Galaxy Zoo: Mergers – Dynamical models of interacting galaxies

Anthony J. Holincheck, John F. Wallin, Kirk Borne, et al.
Monthly Notices of the Royal Astronomical Society 459 (1) 720 (2016)
https://doi.org/10.1093/mnras/stw649

Modeling the initial conditions of interacting galaxy pairs using Identikit

S. Alireza Mortazavi, Jennifer M. Lotz, Joshua E. Barnes and Gregory F. Snyder
Monthly Notices of the Royal Astronomical Society 455 (3) 3058 (2016)
https://doi.org/10.1093/mnras/stv2364

Determining properties of the Antennae system – Merging ability for restrictedN-body

H. P. Petsch and C. Theis
EAS Publications Series 44 33 (2010)
https://doi.org/10.1051/eas/1044004

Adaptive optics imaging and optical spectroscopy of a multiple merger in a luminous infrared galaxy★

P. Väisänen, S. Mattila, A. Kniazev, et al.
Monthly Notices of the Royal Astronomical Society 384 (3) 886 (2008)
https://doi.org/10.1111/j.1365-2966.2007.12703.x

The grazing encounter between IC 2163 and NGC 2207: pushing the limits of observational modelling

C. Struck, M. Kaufman, E. Brinks, et al.
Monthly Notices of the Royal Astronomical Society 364 (1) 69 (2005)
https://doi.org/10.1111/j.1365-2966.2005.09539.x

Knowledge-Based Intelligent Information and Engineering Systems

Juan Carlos Gomez, Olac Fuentes, Lia Athanassoula and Albert Bosma
Lecture Notes in Computer Science, Knowledge-Based Intelligent Information and Engineering Systems 3215 404 (2004)
https://doi.org/10.1007/978-3-540-30134-9_54

M51 revisited: A genetic algorithm approach of its interaction history

Christian Theis and Christian Spinneker
Astrophysics and Space Science 284 (2) 495 (2003)
https://doi.org/10.1023/A:1024056211087