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Ferragamo, A.
351
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Online (348)
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1
Galaxy clusters morphology with Zernike polynomials: The fi..:
Capalbo, V.
;
De Petris, M.
;
Cui, W.
...
EPJ Web of Conferences. 293 (2024) - p. 00009 , 2024
Link:
https://doi.org/10.1051/..
?
2
Impact of filaments on galaxy cluster properties in The Thr..:
Santoni, S.
;
De Petris, M.
;
Ferragamo, A.
...
EPJ Web of Conferences. 293 (2024) - p. 00048 , 2024
Link:
https://doi.org/10.1051/..
?
3
3D scaling laws and projection effects in The300-NIKA2 Suny..:
Paliwal, A.
;
Cui, W.
;
de Andrés, D.
...
EPJ Web of Conferences. 293 (2024) - p. 00037 , 2024
Link:
https://doi.org/10.1051/..
?
4
The Three Hundred project: Contrasting clusters optical and..:
Muñoz, A. Jiménez
;
Macías-Pérez, J.F.
;
Yepes, G.
...
EPJ Web of Conferences. 293 (2024) - p. 00025 , 2024
Link:
https://doi.org/10.1051/..
?
5
Galaxy cluster mass bias from projected mass maps: THE THRE..:
Muñoz-Echeverría, M.
;
Macías-Pérez, J. F.
;
Artis, E.
...
Astronomy & Astrophysics. 682 (2024) - p. A124 , 2024
Link:
https://doi.org/10.1051/..
?
6
Estimation of the hydrostatic-to-lensing mass bias from res..:
Muñoz-Echeverría, M.
;
Macías-Pérez, J.F.
;
Pratt, G.W.
...
EPJ Web of Conferences. 293 (2024) - p. 00033 , 2024
Link:
https://doi.org/10.1051/..
?
7
Towards the first mean pressure profile estimate with the N..:
Hanser, C.
;
Adam, R.
;
Ade, P.
...
EPJ Web of Conferences. 293 (2024) - p. 00024 , 2024
Link:
https://doi.org/10.1051/..
?
8
A machine learning method to infer clusters of galaxies mas..:
Ferragamo, A.
;
de Andres, D.
;
Sbriglio, A.
...
EPJ Web of Conferences. 293 (2024) - p. 00019 , 2024
Link:
https://doi.org/10.1051/..
?
9
The hydrostatic-to-lensing mass bias from resolved X-ray an..:
Muñoz-Echeverría, M.
;
Macías-Pérez, J. F.
;
Pratt, G. W.
...
Astronomy & Astrophysics. 682 (2024) - p. A147 , 2024
Link:
https://doi.org/10.1051/..
?
10
The NIKA2 Sunyaev-Zeldovich Large Program: Sample and upcom..:
Perotto, L.
;
Adam, R.
;
Ade, P.
...
EPJ Web of Conferences. 293 (2024) - p. 00040 , 2024
Link:
https://doi.org/10.1051/..
?
11
THE THREE HUNDRED: Contrasting cluster galaxy density in hy..:
Jiménez Muñoz, A.
;
Macías-Pérez, J. F.
;
Yepes, G.
...
Astronomy & Astrophysics. 686 (2024) - p. A257 , 2024
Link:
https://doi.org/10.1051/..
?
12
CHEX-MATE: Constraining the origin of the scatter in galaxy..:
Bartalucci, I.
;
Molendi, S.
;
Rasia, E.
...
Astronomy & Astrophysics. 674 (2023) - p. A179 , 2023
Link:
https://doi.org/10.1051/..
?
13
CHEX-MATE: A non-parametric deep learning technique to depr..:
Iqbal, A.
;
Pratt, G. W.
;
Bobin, J.
...
Astronomy & Astrophysics. 679 (2023) - p. A51 , 2023
Link:
https://doi.org/10.1051/..
?
14
Multi-probe analysis of the galaxy cluster CL J1226.9+3332:..:
Muñoz-Echeverría, M.
;
Macías-Pérez, J. F.
;
Pratt, G. W.
...
Astronomy & Astrophysics. 671 (2023) - p. A28 , 2023
Link:
https://doi.org/10.1051/..
?
15
the three hundredproject: a machine learning method to infe..:
Ferragamo, A
;
de Andres, D
;
Sbriglio, A
...
Monthly Notices of the Royal Astronomical Society. 520 (2023) 3 - p. 4000-4008 , 2023
Link:
https://doi.org/10.1093/..
1-15