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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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About me
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Hello there! In this post, I will write a bit about cosmological simulations. Yes, it’s a promise-I’ve been meaning to do this since I created this blog, and it’s been a while since my last post.
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Hello there! If you just came to this blog and you would like to learn something about PyTorch
I believe you can find something to start playing around. In this post we will see how to write a simple code to solve a simple regression problem. This means we will do predictions for a quantity $y$, given values for their predictor (the input) $x$ for a noised: $y = a x + b$.
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Have you ever heard about graphs? What about graph neural networks (GNNs)? If you have never paid attention, let’s try to remind you that, structures like the image below are, actually, graphs. And they are filling all the internet.
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In this post I bring a flashback from my undergrad in Physics, because this year (2022) I am completing 10 years from the beginning of this wonderful journey! What is written here is only my personal experience and does not reflect what happens with all the students. First, because I am old (a lot has changed at USP - the university where I did my undergrad - and in the proper major of Physics by there) - and (of course) because it is different, between the different majors.
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This post is dedicated to the Schwarzschild solution of Einstein’s equations. Here I will follow a simple way to deduce it and show why this solution arises to what we call as the basic kind of black hole: the Schwarzschild Black Holes.
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In this post you will see what is the bizarre Casimir Effect. I will start telling you about quantum fluctuations, give you some qualitative definition of it and, then, two quantitative descriptions. As I warned you in the previous post (Harmonic Oscillator), the Physics/Mathematics behind of this effect are the quantum harmonic oscillators!
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This post is about the basic unit of the Physics, the harmonic oscillator. I start telling you why it is so important in Physics and about the classical version of it. Then, I pass to its quantum version. This “transition” is a good way to see the Correspondence Principle and here I explain why!
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In this post you will see a bit about the Barium Titanate (BaTiO3) with the inclusion of zirconium, i.e., the BaTi0.9Zr0.1O3 material. I start with the motivation behind this work and its objectives. Then, I describe the methodology to produce the powders and the pellets, and finalize with the electric characterization of the materials produced.
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In this post I will summarize what superconductivity is, tell you about some historic aspects, pass through a little of theory (without touching the “mathematics” behind it – because this work was done when I was a teenager) and show to you all the stages of the production of the cuprate YBaCuO pellets and the development of a support, to see the magnetic levitation using them.
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Short description of portfolio item number 1
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Short description of portfolio item number 2
Published in Revista Brasileira de Ensino de FĂsica, 2019
This paper comprehends a first part of my Masters.
Santi, Natali Soler Matubaro de, & Santarelli, Raphael. (2019). Desvendando a radiação Hawking. Revista Brasileira de Ensino de FĂsica, 41(3), e20180312. Epub March 11, 2019.https://doi.org/10.1590/1806-9126-rbef-2018-0312 http://www.scielo.br/pdf/rbef/v41n3/1806-9126-RBEF-41-3-e20180312.pdf
Published in Brazilian Journal of Physics, 2019
This paper contains the numerical results from my Masters.
de Santi, N.S.M., Santarelli, R. Mass Evolution of Schwarzschild Black Holes. Braz J Phys 49, 897–913 (2019). https://doi.org/10.1007/s13538-019-00708-y https://link.springer.com/article/10.1007%2Fs13538-019-00708-y
Published in MNRAS, 2022
First approach: stacked methods and SMOGN
Natalà S. M. de Santi, Natália V. N. Rodrigues, Antonio D. Montero-Dorta, L. Raul Abramo, Beatriz Tucci, M. Celeste Artale, Mimicking the halo–galaxy connection using machine learning, Monthly Notices of the Royal Astronomical Society, Volume 514, Issue 2, August 2022, Pages 2463–2478, https://doi.org/10.1093/mnras/stac1469 https://doi.org/10.1093/mnras/stac1469
Published in JCAP, 2022
Image denoising for a robust model
de Santi, N. S. M. and Abramo, L. R. 2022, DOI:10.1088/1475-7516/2022/09/013 https://iopscience.iop.org/article/10.1088/1475-7516/2022/09/013
Published in Blucher Physics Proceedings, 2022
First steps to improve cosmological covariance matrices
de Santi, N. S. M. and Abramo, L. R. 2022, DOI: 10.5151/astrocientistas2021-11 https://www.proceedings.blucher.com.br/article-details/primeiros-passos-na-obteno-de-parmetros-cosmolgicos-utilizando-matrizes-de-covarincia-cosmolgicas-sem-rudo-37453
Published in arXiv, 2023
First ML robust method to predict $\Omega_{m}$
NatalĂ S. M. de Santi et al 2023 ApJ 952 69 https://iopscience.iop.org/article/10.3847/1538-4357/acd1e2/meta
Published in ApJ, 2023
Using symbolic regression to understand GNNs
Shao, H., de Santi, N. S. M., Villaescusa-Navarro, F., et al. 2023, ApJ, 956, 2, 149. doi:10.3847/1538-4357/acee6f https://iopscience.iop.org/article/10.3847/1538-4357/acee6f
Published in ApJ, 2023
Why does Astrid is so good for getting robust models?
Ni, Y., Genel, S., Anglés-Alcázar, D., et al. 2023, ApJ, 959, 2, 136. doi:10.3847/1538-4357/ad022a https://iopscience.iop.org/article/10.3847/1538-4357/ad022a
Published in MNRAS, 2023
Regression to classification solving halo-galaxy scatter problem
Natália V N Rodrigues, Natalà S M de Santi, Antonio D Montero-Dorta, L Raul Abramo, High-fidelity reproduction of central galaxy joint distributions with neural networks, Monthly Notices of the Royal Astronomical Society, Volume 522, Issue 3, July 2023, Pages 3236–3247, https://doi.org/10.1093/mnras/stad1186 https://doi.org/10.1093/mnras/stad1186
Published in arXiv, 2023
NF for mapping the halo-galaxy connection using cosmological parameters and CAMELS
Lovell, C. C., Hassan, S., Anglés-Alcázar, D., et al. 2023, arXiv:2307.06967. doi:10.48550/arXiv.2307.06967 https://arxiv.org/abs/2310.15234](https://arxiv.org/abs/2310.15234
Published in JCAP, 2025
GNNs can deal with observational effects
de Santi, N. S. M., Villaescusa-Navarro, F., Raul Abramo, L., et al. 2025, JCAP, 2025, 1, 082. doi:10.1088/1475-7516/2025/01/082 https://arxiv.org/abs/2310.15234](https://arxiv.org/abs/2310.15234
Published in A&A, 2025
Normalizing flows, Gaussian Likelihood and regression to classification solving halo-galaxy scatter problem
Rodrigues, N. V. N., de Santi, N. S. M., Abramo, R., et al. 2025, AAP, 698, A3. doi:10.1051/0004-6361/202453284 https://www.aanda.org/articles/aa/full_html/2025/06/aa53284-24/aa53284-24.html
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Poster presentation, XIX Congresso de Iniciação CientĂfica da UFSCar (XIX CIC), Federal University of SĂŁo Carlos, SĂŁo Carlos, SP, Brazil
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Poster presentation, XIII Semana de FĂsica (XIII SeFĂs), Federal University of SĂŁo Carlos, SĂŁo Carlos, SP, Brazil
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Virtual talk, Group Meeting: Prof. Francesco Shankar, University of Southampton, Southampton, UK
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Virtual talk, Journal Club: Astronomical Observatory of Trieste, I.N.A.F., Trieste, Italy
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Virtual talk, AI in Astronomy, IAG, USP, SĂŁo Paulo, SP, Brazil
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Virtual presentation, II mini-Workshop on the halo-galaxy connection for the South American community, Universidad TĂ©cnica Federico Santa MarĂa, Santiago, Chile
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Talk, Galaxy Formation Group Meeting, Flatiron Institute, New York, NY, US
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Virtual talk, Journal club: Berkeley Cosmology Group, UC Berkeley, Berkeley, CA, US
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Talk, Cosmology Lunch Talks, Institute of Advanced Studies (IAS), Princeton, NJ, US
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Talk, Tri-state Cosmology X Data Science Meeting, Flatiron Institute
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Talk, Group Seminars - Prof. Bhuvnesh Jain, UPenn, Philadelphia, PA, US
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Talk, Data-Science X Astro seminar, Yale University, Yale University, New Haven, CT, US
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Talk, Renoir Science Seminar, Recherche Energie NOIRe (RENOIR), Marseille, France
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Talk, CITA cosmology discussion, University of Toronto, Toronto, Canada
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Talk, Seminários do CBPF/COTEC, CBPF, Rio de Janeiro, Brazil
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Virtual talk, Yale Astronomy Data Science Seminar, Yale
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Virtual talk, ML Session of DoA, Tsinghua University, Beijing, China
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Talk, First Learning on Graphs (LOG) conference in South America – ICMC, São Carlos, Brazil
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Talk, SP Research Group meetings in Astro & Cosmo – Principia Institute, São Paulo, Brazil
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Panelist, As astrocientistas: III Encontro Brasileiro de Meninas e Mulheres da AstrofĂsica, Gravitação e Cosmologia - Remote.
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Talk, How to use graph neural networks to understand the Universe?, Universidad TĂ©cnica Federico Santa MarĂa, Chile - Remote
Tutoring, Tutores Educação Multidisciplinar, 2018
Tutoring in Physics, elementary school II level.
Undergraduate revision lectures, Flexus Educacional LTDA-ME, 2018
Review of the discipline LE201 - General Physics I, of the University of Campinas (UNICAMP), campus of Limeira.
Tutorial, XIX Physics Week, 2019
Teaching Assistant, University of SĂŁo Paulo (USP), 2020
I helped undergrad engineering students with problems, concepts and theory related to Eletromagnetism.
Teaching Assistant, University of SĂŁo Paulo (USP), 2021
I helped graduated physics students with problems, concepts and theory related to Classical Electrodynamics I. Besides, together with the professor, we proposed the problem sets and I solved and made available the solution of them to the students.
Tutorial, Galaxy Formation and Evolution in the Data Science Era, 2023
Tutorial, AI in Astronomy, 2023
Guest Lecturer, Universidad Andres Bello, 2024
Tutorial: code