???global.info.a_carregar???
Rodrigo Alonso Carvajal Pizarro. Completed the Magister in Magíster en Astronomía in 2019/01 by Pontificia Universidad Católica de Chile and Bachelor in Licenciatura en Ciencias, Mención Astronomía in 2014/12 by Universidad de Chile. Attends the Doutoramento in Astronomia e Astrofísica by Universidade de Lisboa Faculdade de Ciências since 2019. Published 8 articles in journals. Works in the area(s) of Exact Sciences with emphasis on Physical Sciences with emphasis on Astronomy. In their professional activities interacted with 40 collaborator(s) co-authorship of scientific papers. In his curriculum Ciência Vitae the most frequent terms in the context of scientific, technological and artistic-cultural output are: Galaxy clusters; Lyman-Break Galaxies:; Millimetre; Solar system; Mars; Atmosphere; .
Read full resume ↓
Identification

Personal identification

Full name
Rodrigo Alonso Carvajal Pizarro

Citation names

  • Carvajal, Rodrigo
  • Carvajal, R.

Author identifiers

Ciência ID
BD1C-B20D-18E8
ORCID iD
0000-0002-0545-1113
Google Scholar ID
q5m-RLkAAAAJ&hl

Websites

Knowledge fields

  • Exact Sciences - Physical Sciences - Astronomy

Languages

Language Speaking Reading Writing Listening Peer-review
Spanish; Castilian (Mother tongue)
English Upper intermediate (B2) Proficiency (C2) Advanced (C1) Advanced (C1)
Education
Degree Classification
2019 - 2024/12/19
Concluded
 Astronomia e Astrofísica (Doutoramento)
Universidade de Lisboa Faculdade de Ciências, Portugal
2016/03 - 2019/01
Concluded
 Magíster en Astronomía (Magister)
Pontificia Universidad Católica de Chile, Chile
"Stacking UV-selected Lyman-Break Galaxies in the ALMA Frontier Fields" (THESIS/DISSERTATION)
2007/03 - 2014/12
Concluded
 Licenciatura en Ciencias, Mención Astronomía (Bachelor)
Universidad de Chile, Chile
Affiliation

Science

Category
Host institution 		Employer
2019/11/18 - Current Research Assistant (Research) Fundação para a Ciência e a Tecnologia, Portugal
Universidade de Lisboa Faculdade de Ciências, Portugal
(...)
2019/01/25 - 2019/10/31 Research Assistant (Research) Pontificia Universidad Católica de Chile, Chile
2015 - 2016 Research Assistant (Research) Pontificia Universidad Católica de Chile, Chile
2014/01 - 2015 Research Assistant (Research) Atacama Large Millimeter submillimeter Array, Chile
2012/05 - 2013/10 Research Assistant (Research) Universidad de Chile Departamento de Astronomía, Chile
Projects

Grant

Designation Funders
2019/12 - 2023/12 The first Radio Galaxies in the Universe
Provided by PTCRIS: PD/BD/150455/2019
 Fundação para a Ciência e a Tecnologia
2022/01 - 2023/06 Encontrando emissores de Lyman-alpha através de aprendizagem máquina
Provided by PTCRIS: EXPL/FIS-AST/1085/2021
 Fundação para a Ciência e a Tecnologia

Contract

Designation Funders
2022/01/01 - 2023/06/30 Finding Lyman-alpha emitters through machine learning
EXPL/FIS-AST/1085/2021
FCiênciasID Associação para a Investigação e Desenvolvimento de Ciências, Portugal

Instituto de Astrofísica e Ciências do Espaço, Portugal
Fundação para a Ciência e a Tecnologia
Ongoing
Outputs

Publications

Book chapter
  1. Rodrigo Carvajal; Israel Matute; José Afonso; Stergios Amarantidis; Davi Barbosa. "Radio Galaxy Detection Prediction with Ensemble Machine Learning". 25-29. Springer International Publishing, 2023.
    10.1007/978-3-031-34167-0_6
Conference poster
  1. Afonso, Jose; Matute, Israel; Carvajal, Rodrigo; Amarantidis, Stergios; Arsioli, Bruno; Pappalardo, Cirino; David Barbosa da Silva. "Can we optimise SKA to identify the earliest SMBH?". Paper presented in European Astronomical Society Annual Meeting, 2024.
  2. Afonso, Jose; Matute, Israel; Carvajal, Rodrigo; Amarantidis, Stergios; Arsioli, Bruno; Pappalardo, Cirino; David Barbosa da Silva. "Do radio-powerful AGN exist in the EoR?". Paper presented in European Astronomical Society Annual Meeting, 2024.
  3. Carvajal, Rodrigo; Matute, Israel; Afonso, Jose; Norris, R. P.; Luken, K. J.; Sánchez-Sáez, P.; Cunha, Pedro; et al. "Ensemble Machine Learning for the prediction of Radio AGN in multi-survey data". Paper presented in Encontro Ciência '23: Encontro com a Ciência e Tecnologia em Portugal, 2023.
  4. Carvajal, Rodrigo; Matute, Israel; Afonso, Jose; Norris, R. P.; Luken, K. J.; Sánchez-Sáez, P.; Cunha, P.; et al. "Radio Galaxy prediction with multi-survey data and ensemble Machine Learning". Paper presented in Coordinated Surveys of the Southern Sky, 2023.
  5. Carvajal, Rodrigo; Matute, I.; Afonso, Jose; Amarantidis, Stergios; BARBOSA, D. D.. "Searching for Radio Galaxy detections with ensemble Machine Learning". Paper presented in VLA Sky Survey in the Multiwavelength Spotlight, 2022.
  6. Carvajal, Rodrigo; Afonso, Jose; Matute, I.; Amarantidis, Stergios; BARBOSA, D. D.. "Finding high-redshift Radio Galaxies with Machine Learning". Paper presented in Encontro Ciência 22: Encontro com a Ciência e Tecnologia em Portugal, 2022.
  7. Carvajal, Rodrigo; Matute, I.; Afonso, Jose; Amarantidis, Stergios; BARBOSA, D. D.. "Radio Galaxy detection prediction with ensemble Machine Learning". Paper presented in International Conference on Machine Learning for Astrophysics - ML4Astro, 2022.
  8. Carvajal, Rodrigo; Afonso, Jose; Matute, Israel; Amarantidis, Stergios; BARBOSA, D. D.. "Detection of high-redshift Radio Galaxies using Machine Learning models". Paper presented in Encontro Nacional 2021 de Astronomia e Astrofísica, 2021.
  9. BARBOSA, D. D.; Afonso, Jose; Matute, I.; Carvajal, Rodrigo; Amarantidis, Stergios. "Searching for Very Distant Radio Sources in the MIGHTEE survey". Paper presented in XXXI Encontro Nacional de Astronomia e Astrofísica, 2021.
  10. Carvajal, Rodrigo; José Afonso; Matute, Israel; Amarantidis, Stergios; Davi Barbosa. "Exploring new redshift indicators for radio-powerful AGNs". Paper presented in A precursor view of the SKA Sky, 2021.
  11. Carvajal, Rodrigo; José Afonso; Matute, Israel; Amarantidis, Stergios. "Mining the radio sky toward the earliest AGN". Paper presented in Encontro Nacional de Astronomia e Astrofísica, 2020.
  12. Carvajal, Rodrigo; Kneissl, Ruediger; Rabanus, David. "Mapping the winds on Mars. Test study (master project) for planetary atmospheric monitor-ing with ALMA". Paper presented in Ground and space observatories: a joint venture to planetary science, 2015.
Journal article
  1. Henrique Miranda; Ciro Pappalardo; José Afonso; Polychronis Papaderos; Catarina Lobo; Ana Paulino-Afonso; Rodrigo Carvajal; et al. "Importance of modelling the nebular continuum in galaxy spectra". Astronomy & Astrophysics (2025): https://doi.org/10.1051/0004-6361/202451648.
    10.1051/0004-6361/202451648
  2. P. A. C. Cunha; A. Humphrey; J. Brinchmann; S. G. Morais; R. Carvajal; J. M. Gomes; I. Matute; A. Paulino-Afonso. "Identifying type II quasars at intermediate redshift with few-shot learning photometric classification". Astronomy & Astrophysics (2024): https://doi.org/10.1051/0004-6361/202346426.
    10.1051/0004-6361/202346426
  3. R. Carvajal; I. Matute; J. Afonso; R. P. Norris; K. J. Luken; P. Sánchez-Sáez; P. Cunha; et al. "Selection of powerful radio galaxies with machine learning". Astronomy & Astrophysics (2023): http://dx.doi.org/10.1051/0004-6361/202245770.
    10.1051/0004-6361/202245770
  4. Miranda, Henrique; Pappalardo Ciro; Papaderos, Polychronis; Afonso, Jose; Matute, Israel; Lobo, Catarina; Afonso, Ana; et al. "An investigation of the star-forming main sequence considering the nebular continuum emission at low-z". Astronomy & Astrophysics 669 (2023): A16-A16. http://dx.doi.org/10.1051/0004-6361/202244390.
    10.1051/0004-6361/202244390
  5. A Humphrey; P A C Cunha; A Paulino-Afonso; Stergios Amarantidis; R Carvajal; Jean Michel Gomes; Israel Matute Troncoso; P Papaderos. "Improving machine learning-derived photometric redshifts and physical property estimates using unlabelled observations". Monthly Notices of the Royal Astronomical Society (2022): http://dx.doi.org/10.1093/mnras/stac3596.
    10.1093/mnras/stac3596
  6. Rodrigo Carvajal; Israel Matute Troncoso; J. Afonso; Stergios Amarantidis; Davi Barbosa; P. A. C. Cunha; Andrew Humphrey. "Exploring New Redshift Indicators for Radio-Powerful AGN". Galaxies (2021): https://www.mdpi.com/2075-4434/9/4/86.
    10.3390/galaxies9040086
  7. Carvajal, Rodrigo. "Self-consistent population spectral synthesis with FADO. II. Star formation history of galaxies in spectral synthesis methods". Astronomy & Astrophysics (2021): http://dx.doi.org/10.1051/0004-6361/202039792.
    10.1051/0004-6361/202039792
  8. Carvajal, Rodrigo. "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". Astronomy & Astrophysics (2020):
    10.1051/0004-6361/201936260
  9. Pizarro, Rodrigo. "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". Astronomy & Astrophysics (2017):
    10.1051/0004-6361/201730961
  10. Pizarro, Rodrigo. "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". Astronomy & Astrophysics (2017):
    10.1051/0004-6361/201730628
  11. Pizarro, Rodrigo. "The ALMA Frontier Fields Survey. I. 1.1 mm continuum detections in Abell 2744, MACS J0416.1-2403 and MACS J1149.5+2223". Astronomy & Astrophysics (2017):
    10.1051/0004-6361/201628806
Thesis / Dissertation
  1. Carvajal, Rodrigo. "Stacking UV-selected Lyman-break galaxies in the ALMA frontier fields". Master, Pontificia Universidad Católica de Chile, 2019. https://repositorio.uc.cl/handle/11534/22335.
Working paper
  1. Pappalardo, Cirino; Cardoso, Leandro S. M.; Jean Michel Gomes; Papaderos, Polychronis; Afonso, José; Breda, Iris; Humphrey, Andrew; et al. 2021. "Self-consistent population spectral synthesis with Fado: II. Galaxies Star Formation Histories in spectral synthesis methods".

Other

Dataset
  1. Carvajal, Rodrigo; Matute, Israel; Afonso, Jose; Norris, Ray; Luken, Kieran; Sánchez-Sáez, Paula; Cunha, Pedro A. C.; et al. Selection of powerful radio galaxies with machine learning. https://zenodo.org/records/10220009. 2023.
    10.5281/zenodo.10220009
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2024/10 Enhancing radio luminosity functions with machine learning International EMU Collaboration Meeting 2024
(Perth, Australia)
2024/10 Radio Luminosity Functions from ML Analysis Deep 24. Beyond the Edge of the Universe
Instituto de Astrofísica e Ciências do Espaço (Sintra, Portugal)
2024/09 Feeding radio luminosity functions with machine learning predictions XXXIV Encontro Nacional de Astronomia e Astrofísica (ENAA)
(Guimarães, Portugal)
2024/06 How confident can you be? Calibrating probabilities for the selection of AGN IA/ML Forum
European Southern Observatory (Garching, Germany)
2024/05 Identifying giants in ELAIS-S1 with machine learning Invited Research Seminar
Joint ALMA Observatory (Santiago, Chile)
2024/05 SHAP analysis for interpretable Machine Learning in Astrophysics Python Coffee
European Southern Observatory (Santiago, Chile)
2023/11 Extracting physical rules from ensemble machine learning for the selection of radio AGN Debating the potential of Machine Learning in astronomical surveys # 2
(France)
2023/09 Ensemble Machine Learning for the selection of radio AGN in multi-survey data XXXIII Encontro Nacional de Astronomia e Astrofísica (ENAA)
(Coimbra, Portugal)
2022/11 Ensemble Machine Learning for Radio Galaxy detections SPARCS XI. 2022 meeting of the SKA Pathfinders Radio Continuum Surveys (SPARCS)
IDIA - Inter-university Institute for Data Intensive Astronomy (South Africa)
2022/09 Ensemble Machine Learning for the Extraction of High-Redshift Radio Galaxies XXXII Encontro Nacional de Astronomia e Astrofísica (ENAA)
Faculty of Sciences - University of Lisbon (Lisbon, Portugal)
2022/07 Searching for High-z Radio Galaxy Detections with Ensemble Machine Learning EMU International Virtual Meeting
Evolutionary Map of the Universe
2022/02/16 Prediction of distant Radio Galaxies candidates with Machine Learning Jornadas Doutorais (Doctoral Day) from the Department of Physics
Department of Physics, Faculty of Sciencies - University of Lisbon (Lisbon, Portugal)
2022/02/02 High-redshift Radio Galaxies candidates prediction with ensemble Machine Learning SAZERAC SIPS: Learning the high-redshift Universe
2022/01/20 Prediction of high-redshift Radio Galaxy candidates with ensemble Machine Learning XVII SOCHIAS Meeting. 2022 meeting of the Chilean Society of Astronomy
Chilean Society of Astronomy (Chile)
2021/11/16 Using ensemble Machine Learning to predict high- redshift Radio Galaxy detections SPARCS X 2021
IDIA - Inter-university Institute for Data Intensive Astronomy (South Africa)
2021/11/11 Obtaining High-redshift Radio Galaxy candidates with Machine Learning IA-ON8
Institute of Astrophysics and Space Sciences (Coimbra, Portugal)
2021/08/25 Using Machine Learning to identify high-redshift Radio Galaxy candidates 50th Young European Radio Astronomers Conference
Institut de Radioastronomie Millimetrique (IRAM) (France)
2021/08/22 Using a series of Machine Learning Models for the detection of high-redshift Radio Galaxy candidates Debating the potential of Machine Learning in astronomical surveys, IAP Colloquium
Institute d’Astrophysique de Paris (Paris, France)
2021/03/11 Exploring new redshift indicators for radio-powerful AGNs RGCW: A new window on the radioemission from galaxies, clusters and cosmic web
INAF-Istituto di Radioastronomia (Italy)
2020/10/20 Searching for the earliest AGN in the radio sky IA-ON7
Institute of Astrophysics and Space Sciences (Portugal)
2020/07/08 Stacking UV-selected Lyman-Break Galaxies in the ALMA Frontier Fields Invited Research Seminar
Institute of Astrophysics and Space Sciences, University of Lisbon (Lisbon, Portugal)
2020/03/03 The first Radio Galaxies in the Universe Jornadas Doutorais (Doctoral Day) from the Department of Physics, Faculty of Sciences
Department of Physics, Faculty of Sciences - University of Lisbon (Lisbon, Portugal)
2019/06/19 Stacking UV-selected Lyman-Break Galaxies in the ALMA Frontier Fields Invited Seminar
European Southern Observatory (Santiago, Chile)
2017/12 Stacking in the ALMA Frontier Fields Distant Galaxies from the Far South
Kapteyn Astronomical Institute (Bariloche, Argentina)

Event organisation

Event name
Type of event (Role) 		Institution / Organization
2024/01 - 2024/10 Member of the local organising committee of the conference "Deep 24. Beyond the Edge of the Universe" held in Sintra, Portugal. (2024/10/21 - 2024/10/25)
Conference (Member of the Organising Committee)
 Instituto de Astrofísica e Ciências do Espaço, Portugal

Ad Hoc journal article review

Journal title (ISSN) Publisher
2024 - Current Astronomy & Astrophysics (0004-6361) EDP Sciences
2024 - Current Open Research Europe (2732-5121) F1000 Research Limited

Other jury / evaluation

Activity description Institution / Organization
2024 - Current Reviewer in Cycle 11 distributed review process - ALMA Observatory