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Draft:Rafael S. de Souza

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Rafael S. de Souza
Rafael S. de Souza
Born (1980-06-27) June 27, 1980 (age 44)
Brazil
EducationUniversity of São Paulo (PhD)
Federal University of Rio de Janeiro (BSc)
Scientific career
FieldsAstronomy, Data Science
InstitutionsUniversity of Hertfordshire
Shanghai Astronomical Observatory
University of North Carolina at Chapel Hill

Rafael S. de Souza is a Brazilian astronomer and data scientist who works as a Senior Lecturer at the University of Hertfordshire.

Early life and education

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De Souza was born in Rio de Janeiro, Brazil in 1980. He attended high school at the Naval College from 1994 to 1997. He graduated in Astronomy at the Federal University of Rio de Janeiro (UFRJ) in 2004, where he studied "Cosmic Acceleration" under the supervision of Ioav Waga.[1]. He then earned his PhD in Astrophysics from the University of São Paulo in 2009 with a dissertation titled "Origin of Cosmic Magnetic Fields," supervised by Reuven Opher.[citation needed]

Career

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From 2010 to 2011, de Souza was a postdoctoral fellow at the Kavli Institute for the Physics and Mathematics of the Universe in Japan. He then moved to South Korea, where he served as a postdoctoral fellow at the Korea Astronomy and Space Science Institute from 2012 to 2014. Following this, he was a postdoctoral fellow at Eötvös Loránd University in Budapest, Hungary, from 2014 to 2016 and at the University of North Carolina at Chapel Hill from 2017 to 2020.[citation needed]

In 2020, de Souza became an Associate Professor at the Shanghai Astronomical Observatory under the Chinese Academy of Sciences in Shanghai, China, where he remained until 2022. Currently, he holds the position of Senior Lecturer at the Centre for Astrophysics Research at the University of Hertfordshire in the UK, a role he assumed in 2023.[citation needed]

He served as Vice President of the International Astrostatistics Association (IAA).[2]

In 2014, de Souza founded and currently chairs the Cosmostatistics Initiative (COIN).[3][better source needed]

Selected publications

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  • Gondhalekar, Y., Chies-Santos, A. L., de Souza, R. S., et al. (2024). "Systematic analysis of jellyfish galaxy candidates in Fornax, Antlia, and Hydra from the S-PLUS survey: A self-supervised visual identification aid." MNRAS 532, 1, 270-294. doi:10.1093/mnras/stae1410.
  • Pessi, P. J., Durgesh, R., Nakazono, L., de Souza, R. S., et al. (2024). "ELEPHANT: ExtragaLactic alErt Pipeline for Hostless AstroNomical Transients." arXiv e-prints arXiv:2404.18165.
  • Chen, M., de Souza, R. S., Xu, Q., et al. (2024). "Galmoss: A package for GPU-accelerated Galaxy Profile Fitting." Astronomy and Computing 47, 100825. doi:10.1016/j.ascom.2024.100825.
  • Zanatta, E. J. B., Sánchez-Janssen, R., de Souza, R. S., et al. (2024). "NSCs from groups to clusters: A catalogue of dwarf galaxies in the Shapley Supercluster." MNRAS 530, 3, 2670-2687. doi:10.1093/mnras/stae849.
  • Kuhn, M. A., Hillenbrand, L. A., de Souza, R. S., et al. (2024). "The 2022-2023 accretion outburst of the young star V1741 Sgr." MNRAS 529, 3, 2630-2646. doi:10.1093/mnras/stae205.
  • Azevedo, G. M., Chies-Santos, A. L., de Souza, R. S., et al. (2023). "Spatially resolved self-consistent spectral modelling of jellyfish galaxies from MUSE with FADO: trends with mass and stripping intensity." MNRAS 523, 3, 4680-4692. doi:10.1093/mnras/stad1641.
  • Malz, A. I., de Souza, R. S., et al. (2023). "Are classification metrics good proxies for SN Ia cosmological constraining power?" arXiv e-prints. doi:10.48550/arXiv.2305.14421.
  • Xu, Q., Shen, S., de Souza, R. S., et al. (2023). "From Images to Features: Unbiased Morphology Classification via Variational Auto-Encoders and Domain Adaptation." MNRAS 526, 4, 6391-6400. doi:10.1093/mnras/stad3181.
  • Kuhn, M. A., Benjamin, R. A., de Souza, R. S., et al. (2023). "Repeating Outbursts from the Young Stellar Object Gaia23bab (=SPICY 97589)." Research Notes of the American Astronomical Society 7, 3, 57. doi:10.3847/2515-5172/acc4c9.
  • Dálya, G., Bleuzé, S., de Souza, R. S., et al. (2023). "Constraining Supernova Physics through Gravitational-Wave Observations." arXiv e-prints. doi:10.48550/arXiv.2302.11480.

Books

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  • Hilbe, J. M., de Souza, R. S., & Ishida, E. E. O. (2017). Bayesian Models for Astrophysical Data: Using R, JAGS, Python, and Stan. Cambridge University Press.

Software & Codes

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  • de Souza, R. S., Quanfeng, X., Shen, S., Peng, C., & Mu, Z. (2022). "qrpca: A package for fast principal component analysis with GPU acceleration." Code.
  • Chen, P., de Souza, R. S. (2022). "Yonder: A Python Package for Data Denoising and Reconstruction." Code.
  • Zhang, Y., de Souza, R. S., Chen, Y. (2023). "SCONCE-SCMS: Spherical and conic cosmic web finders with extended SCMS algorithms." Code.
  • Gondhalekar, Y., de Souza, R. S., & Chies-Santos, A. L. (2022). "galmask: A Python package for unsupervised galaxy masking." Research Notes of the AAS 6, 128. Code.

References

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  1. ^ Opher, Reuven. "Origin of Cosmic Magnetic Fields". University of São Paulo.
  2. ^ "International Astrostatistics Association : An Overview". Asaip.psu.edu. Retrieved 7 November 2014.
  3. ^ "The Cosmostatistics Initiative: COIN". cosmostatistics-initiative.org.
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Category:Brazilian astronomers Category:Bayesian statisticians Category:University of Hertfordshire faculty Category:1979 births Category:Living people


Category:1980 births Category:Living people

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