This post is months late, but writing here to say that my sabbatical visit to KIPAC Stanford ended on December last year, after two years as a visiting researcher/professor.
What an amazing and productive visit. So many new friends and colleagues, and new directions in research.
Thank you, Roger, for hosting me! You were an amazing host. I will miss our interactions.
Roger Blandford and Rodrigo Nemmen at KIPAC Stanford, circa 5/2025.
I had the pleasure of visiting Los Alamos last week to give the Astrophysics Distinguished Seminar at the Los Alamos National Laboratory. First time in New Mexico, actually. What a beautiful state!
It was great to interact with the folks at the Center for Nonlinear Studies: Alejandro, Jonah, Hyun, Ben, and many others. Thank you for the hospitality and the green chili!
I presented my group’s work on applying different machine learning methods to advance our understanding of black holes, including black hole weather forecasting with AI. I am particularly excited about the transformative potential of neural operators for fluid dynamics, and its repercussions for black hole studies.
There were several interesting discussions on the similarities between Earth weather and black hole weather (very little, but there is some common physics), on neural operators, and ideas for follow-up studies with the data team. The talk is now available on Youtube.
After the talk, I visited the Perlmutter GPU cluster, which is surprisingly silent. Thanks, liquid cooling. And met by chance over lunch the legend Fernando Perez, creator of Jupyter.
Many thanks to Steve Farrell for being such a wonderful host.
The material covers a gamut of topics within the field of AGN research:
Introduction: A historical perspective and the basic concepts of black hole physics.
AGN zoo: The observational properties of AGNs, including the type I/II classification and the grand unification model.
Supermassive black hole detections: Techniques for measuring SMBH masses, from the shadow of a black hole to reverberation mapping.
Accretion physics: The physics of accretion flows, including various accretion states and models.
Jets: theory: Insights into jet formation and the Blandford-Znajek model.
AGN Feedback: The impact of AGN on their surrounding environments and their role in galaxy formation.
Open questions: Current unsolved mysteries in the field of AGN research.
Accessibility and Sharing
The course slides are accessible to anyone interested in the field – students, educators, and researchers alike. In the spirit of open science and to facilitate the broad dissemination of knowledge, I’ve chosen the “CC BY 4.0” license. This means that you are free to share, copy, and even adapt the material, as long as appropriate credit is given.
I encourage you to use these slides as a resource for learning and teaching, and I hope they will spark further interest and research into the fascinating world of supermassive black holes and active galactic nuclei.
Acknowledgements
Credit for the slides and figures belongs to myself, with due acknowledgments given for adapted content from other sources as appropriate within the slides.
Beginning on December 9th 2022, I will be on my sabbatical leave at the Kavli Institute for Particle Astrophysics and Cosmology, Stanford University. I cannot express enough how excited I am to visit KIPAC and interact with the researchers there. I am sure this visit will have great scientific payoffs, including new collaborations and projects on black hole astrophysics.
Black holes accrete gas from their surroundings in a chaotic, turbulent manner. This colloquium will describe the pilot application of deep learning for black hole weather forecasting. Our early results indicate that black hole simulations can benefit tremendously from AI. Along the way, I will explain the difference between artificial intelligence (AI), machine learning, and deep learning and why the scientific community is so excited about these topics.
Below are the slides from my presentation, given in late 2021.
Colloquium: The first AI simulation of a black hole.
Precisamente porque nós podemos nos adaptar, a mente pode adaptar-se e assim converter um obstáculo para as nossas ações em algo que sirva a um objetivo. […] O impedimento a uma ação pode servir para avançar a ação. O que está no seu caminho torna-se o caminho.
Costumo usar os ensinamentos estóicos na minha vida. Ao aplicar eles neste momento histórico de confinamento global causado pelo COVID-19, que impede que as aulas da maior parte das escolas e universidades no Brasil retornem ao “antigo normal”, decidi transformar um impedimento à ação (a quarentena que impede as aulas normais) em oportunidade.
Assim, disponibilizarei todas as aulas da minha disciplina de graduação de relatividade geral e aplicações astrofÃsicas—que normalmente seriam presenciais e disponÃveis somente para um reduzido número de alunos da Universidade de São Paulo—no Youtube.
Inscrições, avaliações, material suplementar e acesso ao ambiente Google Classroom da disciplina mencionado na Aula 1 estarão disponÃveis somente para os alunos da USP matriculados na mesma.
Neste sábado, primeiro de Junho, dei uma apresentação no evento TEDx Santos sobre—surprise, surprise—buracos negros. Mais especificamente, a primeira imagem de um buraco negro, revelada no dia 11 de Abril de 2019. Foi uma experiência interessante e única.