Astrophysicist, Professor of Physics at the University of Wisconsin, Milwaukee, member of @ehtelescope, 🇺🇸🇧🇷, she/her

Joined April 2022
“In science, it’s always really important to do the same or similar experiments multiple times." — Hubble Einstein fellow @astronolia A new image confirms that the M87 black hole is the kind predicted by Einstein's general theory of relativity. bit.ly/48BWPG3
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New image of M87 is out! This is from the 2018 observations and shows that the ring is persistent over time!
The EHT has released new images of the M87* black hole from observations taken in April 2018. The brightness peak of the ring has shifted by about 30Âş compared to 2017, consistent with our theoretical understanding of variability from turbulent material around black holes.
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AAS NOVA highlighted our article on the new M87 image with PRIMO! @TodLauer @feryal_ozel @DimitriosPSALT1
Selections from 2023: Sharpening Our Images of a Supermassive Black Hole The first image of a supermassive black hole released in 2019 was far from the last, and new algorithms have brought the data into sharper focus. aasnova.org/2023/12/18/selec…
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For those of you at the virtual @APSphysics meeting, I will be giving a talk at around 10:12 am EST in the EHT session (LL03:3). This talk will include an introduction to the PRIMO algorithm and the recent results as well as a summary of testing gravity results.
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My collaborator and co-author of the PRIMO result @TodLauer wrote a nice thread explaining in more detail what PRIMO does.
Wanna build a black hole with PRIMO? Here's a little bit of how we do it (skipping most of the math). This is from a paper that Lia Medeiros FA'ed as the lead for developing it. You will use sets of building blocks. Here's one - look closely. Red is + light, blue - light
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📡🌍📡 After a few days of bad luck with the weather across the globe, we are starting our 2023 EHT campaign observing supermassive black holes tonight! Picture (@gopastro ): the LMT on the Sierra Negra in Mexico is getting ready.
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The resemblance is uncanny
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So excited to finally share that our paper presenting a new image of M87 is out! See press release here: ias.edu/news/sharper-look-m8… paper here: iopscience.iop.org/article/1…
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The new image of M87 was generated by PRIMO, our new machine learning algorithm (see PRIMO paper here iopscience.iop.org/article/1…). @TodLauer @feryal_ozel
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The team also included @DimitriosPSALT1, sorry I wasn’t able to find your tag this morning!
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🆕BLACK HOLE GETS NEW LOOK WITH MACHINE LEARNING. A team led by IAS Member Lia Medeiros (@astronolia) has produced a groundbreaking new image of the M87 black hole, achieving, for the first time, the full resolution of the @ehtelescope. Read more: ias.edu/news/sharper-look-m8…
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This video shows an overview of the simulation library I created for the training set youtube.com/watch?v=NwGBwMFV… @the_IAS @NSF @ehtelescope
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The EHT uses an array of telescopes spread around the world, but since we cannot cover the whole world in telescopes, there are gaps in our data. PRIMO uses machine learning trained on a large data set of simulations to fill in the gaps in our data where we don't have telescopes.
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What’s particularly cool about this new code is that it’s written in python so that it’s more user friendly and removes some of the barrier to entry into the field. However, since we use Google’s JAX auto-differentiation framework it can run in parallel on CPUs and GPUs.
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#OnThisDay 4 years ago, we unveiled the very first image of a black hole!
Scientists have obtained the first image of a black hole, using Event Horizon Telescope observations of the center of the galaxy M87. The image shows a bright ring formed as light bends in the intense gravity around a black hole that is 6.5 billion times more massive than the Sun
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