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Centro de Astrofísica da Universidade do Porto

Carlos J. A. P. Martins
Researcher

Email
Carlos.Martins@astro.up.pt

Lastest publications at CAUP/IA
M. Stangret, E. Palle, E. Esparza-Borges, J. Orell-Miquel, N. Casasayas-Barris, M. R. Zapatero Osorio, E. A. S. Cristo, R. Allart, Y. Alibert, F. Borsa et al. (including: O. Demangeon, P. Figueira, C. J. A. P. Martins, N. C. Santos), 2025,
The obliquity and atmosphere of the hot Jupiter WASP-122b (KELT-14b) with ESPRESSO: An aligned orbit and no sign of atomic or molecular absorption,
Astronomy & Astrophysics, 691, 19
>> Abstract
Euclid Collaboration, H. Böhringer, G. Chon, O. Cucciati, H. Dannerbauer, M. Bolzonella, G. De Lucia, A. Cappi, L. Moscardini, C. Giocoli et al. (including: J. Brinchmann, A. C. da Silva, J. Dinis, I. Tereno, C. S. Carvalho, C. J. A. P. Martins), 2025,
Euclid preparation. LV. Exploring the properties of proto-clusters in the Simulated Euclid Wide Survey,
Astronomy & Astrophysics, 693, 24
>> Abstract
Euclid Collaboration, M. Archidiacono, J. Lesgourgues, S. Casas, S. Pamuk, N. Schöneberg, Z. Sakr, G. Parimbelli, A. Schneider, F. Hervas Peters et al. (including: J. Brinchmann, I. Tereno, C. S. Carvalho, C. J. A. P. Martins), 2025,
Euclid preparation: LIV. Sensitivity to neutrino parameters,
Astronomy & Astrophysics, 693, 36
>> Abstract
C. J. A. P. Martins, M. A. F. Melo e Sousa, S. Q. Fernandes, C. M. J. Marques, 2024,
Impact of spatial curvature on forecast constraints from standard and differential redshift drift measurements,
Physics of the Dark Universe, 47
>> Abstract
J. D. F. Dias, N. Schöneberg, L. Vacher, C. J. A. P. Martins, S. Vinzl, 2024,
A speed limit on tachyon fields from cosmological and fine-structure data,
Journal of Cosmology and Astroparticle Physics, 11, 30
>> Abstract
Euclid Collaboration, A. Enia, M. Bolzonella, L. Pozzetti, A. Humphrey, P. A. C. Cunha, W. G. Hartley, F. Dubath, S. Paltani, X. Lopez Lopez et al. (including: J. Brinchmann, A. C. da Silva, J. Dinis, I. Tereno, C. S. Carvalho, C. J. A. P. Martins), 2024,
Euclid preparation. LI. Forecasting the recovery of galaxy physical properties and their relations with template-fitting and machine-learning methods,
Astronomy & Astrophysics, 691, 26
>> Abstract