Publications

Below, you will find a list of the most recent publications in which I am involved. My scientific contributions span 14 refereed papers, with three as first author. My MSc work resulted in one article, which challenged the applicability of local dust relations to early galaxies. My PhD yielded two refereed publications, presenting a ML pipeline that identifies radio AGN using photometry alone. I have also contributed to collaborative publications, including EMU, the ALMA Frontier Fields, and theoretical AGN studies (NewAthena simulations), and have participated in a conference proceedings article. This list can also be found in my ADS public library.

EMU/GAMA: A new approach to characterising radio luminosity functions
J. Prathap, A. M. Hopkins, J. Afonso, ... R. Carvajal, et al.
PASA (accepted), arXiv:2505.11453, 2025, DOI
Importance of modelling the nebular continuum in galaxy spectra
H. Miranda, C. Pappalardo, J. Afonso, ... R. Carvajal, et al.
A&A 694, A102, 2025, DOI
The Evolutionary Map of the Universe: A new radio atlas for the southern hemisphere sky
A. M. Hopkins, A. Kapinska, J. Marvil, ... R. Carvajal, et al.
PASA (in press), arXiv:2505.08271, 2025, DOI
Unveiling faint X-ray AGN populations in the NewAthena era: Insights from cosmological simulations
N. Covas, I. Matute, S. Amarantidis, ... R. Carvajal, et al.
MNRAS (accepted), arXiv:2504.10731, 2025, DOI
Identifying type II quasars at intermediate redshift with few-shot learning photometric classification
P. A. C. Cunha, A. Humphrey, J. Brinchmann, ... R. Carvajal, et al.
A&A 687, A269, 2024, DOI
An investigation of the star-forming main sequence considering the nebular continuum emission at low-z
H. Miranda, C. Pappalardo, P. Papaderos, ... R. Carvajal, et al.
A&A 669, A16, 2023, DOI
Improving machine learning-derived photometric redshifts and physical property estimates using unlabelled observations
A. Humphrey, P. A. C. Cunha, A. Paulino-Afonso, ... R. Carvajal, et al.
MNRAS 520(1), 305-313, 2023, DOI
Radio Galaxy Detection Prediction with Ensemble Machine Learning
R. Carvajal, I. Matute, J. Afonso, et al.
Machine Learning for Astrophysics, 2023, Cham, DOI
Selection of powerful radio galaxies with machine learning
R. Carvajal, I. Matute, J. Afonso, et al.
A&A 679, A101, 2023, DOI
Exploring New Redshift Indicators for Radio-Powerful AGN
R. Carvajal, I. Matute, J. Afonso, et al.
Galaxies 9(4), 86, 2021, DOI
Self-consistent population spectral synthesis with FADO. II. Star formation history of galaxies in spectral synthesis methods
C. Pappalardo, L. S. M. Cardoso, J. M. Gomes, ... R. Carvajal, et al.
A&A 651, A99, 2021, DOI
The ALMA Frontier Fields Survey. V. ALMA Stacking of Lyman-Break Galaxies in Abell 2744, Abell 370, Abell S1063, MACSJ0416.1-2403 and MACSJ1149.5+2223
R. Carvajal, F. E. Bauer, R. J. Bouwens, et al.
A&A 633, A160, 2020, DOI
The ALMA Frontier Fields Survey. I. 1.1 mm continuum detections in Abell 2744, MACS J0416.1-2403 and MACS J1149.5+2223
J. González-López, F. E. Bauer, C. Romero-Cañizales, ... R. Carvajal, et al.
A&A 597, A41, 2017, DOI
The ALMA Frontier Fields Survey. II. Multiwavelength Photometric analysis of 1.1 mm continuum sources in Abell 2744, MACSJ0416.1-2403 and MACSJ1149.5+2223
N. Laporte, F. E. Bauer, P. Troncoso-Iribarren, ... R. Carvajal, et al.
A&A 604, A132, 2017, DOI
The ALMA Frontier Fields Survey. III. 1.1 mm emission line identifications in Abell 2744, MACSJ 0416.1-2403, MACSJ 1149.5+2223, Abell 370, and Abell S1063
J. González-López, F. E. Bauer, M. Aravena, ... R. Carvajal, et al.
A&A 608, A138, 2017, DOI