Lia Medeiros PhD (@astronolia) header
Lia Medeiros PhD (@astronolia) profile picture

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

Joined April 2022
Photo by Lia Medeiros PhD (@astronolia)Photo by Lia Medeiros PhD (@astronolia)
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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Replying to @AstroClary
@AstroClary wrote a wonderful @astrobites explaining todays paper on the new M87 image, check it out below!
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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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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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So honored to be part of this cohort with so many amazing colleagues.
Meet the 2023 class of the NASA Hubble Fellowship Program! These 24 Fellows will pursue independent research in any area of NASA Astrophysics. The program grants them three years of support at an American university or research center of their choosing: go.nasa.gov/3zsHoA1
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Ok, this is definitely my favorite so far. I could stare at this all day, so beautiful and detailed!
Why, hello, gorgeous! #NASAWebb visited the iconic Pillars of Creation, capturing it in near-infrared light and delivering a kaleidoscope of color. Can you identify the newest stars? (Hint: They’re red and look like lava!) Details: webbtelescope.pub/3yRD79f
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Just read this and wow. What a truly incredible story, your bravery and perseverance are so inspiring, thank you @AstroTraviesa for sharing your story with the world. Astronomy will be a better place with you in it.
From Guest: Remember that you are also a creation of the universe. You are as mighty as the stars, the galaxies, and the planets. Billions of years and a series of miracles went into making you. You are, and have always been, enough. astrobites.org/2022/10/13/la…
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Another successful mission! We’re just a collection of cells hurdling through space on a grain of sand, but today we poked another even tinier grain of sand!
IMPACT SUCCESS! Watch from #DARTMIssion’s DRACO Camera, as the vending machine-sized spacecraft successfully collides with asteroid Dimorphos, which is the size of a football stadium and poses no threat to Earth.
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You guys know I like astronomical images of rings right? This one is less “donut-y” but still beautiful!
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Thank you @NSF for highlighting some of my research, one of my students, and one of my outreach activities in this article.
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I’m a little late, but still very excited to share PRIMO with the world. This is a completely new way to reconstruct images with EHT data. The image below shows PRIMO’s capabilities on synthetic data.
A little advert for PRIMO arxiv.org/abs/2208.01667 a new algorithm for the reconstruction of images of BHs from EHT interferometric observations. The image shows simulated results. UL is a high fidelity GR+MHD simulation at 1.3mm of an accreting BH of the mass and distance of M87.
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PRIMO uses Principal Components Analysis (PCA) and a large library of high-fidelity simulations to reconstruct an image that is both consistent with the data, and lies in the space of images predicted by the simulations. This allows us to reconstruct higher-resolution images.
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This is so important. I am constantly telling students the same thing, physics/astro is put on a pedestal that can be really discouraging, especially for minority students, but you don’t have to be a “genius” to do this.
Replying to @NASAUniverse
You do not need to have some innate genius ability to work in the field of astrophysics. Rather, it is more important that you have grit, drive, and passion to overcome the hurdles that arise when conducting research. /rml
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