Will M Farr

6.4K posts

Will M Farr

Will M Farr

@farrwill

Astrophysicist, formerly of @unibirmingham & @UoBIGWaves, currently lead gravitational wave group at @flatironCCA, Assoc. Prof @stonybrooku.

Stony Brook, NY Katılım Temmuz 2011
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Will M Farr
Will M Farr@farrwill·
At the prompting of @cplberry , a thread about LIGO's recent H0 measurement. It will be long (but hopefully informative). Gird yourselves!
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CIERA
CIERA@NUCIERA·
Ready to level up your data science skills and explore the universe at scale? Designed for graduate students in astronomy and related fields,, the LSST-DA Data Science Fellowship Program is now accepting applications! 🔗 Learn more and apply: bit.ly/4rKEmzQ
CIERA tweet media
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Steven Balbus
Steven Balbus@StevenBalbus·
@curiouswavefn The classical local gravitational redshift calculation by the EP, is unaffected by spatial curvature and is correct. See my book: An Introduction to General Relativity and Cosmology (2026, Princeton) for a detailed calculation and discussion.
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John F. Wu
John F. Wu@jwuphysics·
The best part about finding out my JWST proposal was ranked in the bottom quintile: it forces me to be humble and reminds me that I have lots to learn. Sure, it's frustrating and slightly demoralizing, but it's also relieving -- I haven't peaked yet (or so I tell myself).
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Alex Lupsasca
Alex Lupsasca@ALupsasca·
Interested in the future of black hole imaging? I will be giving a public talk in NYC next week on Wednesday (3/18) about "The Black Hole Explorer: Tracing an Edge of the Visible Universe". This is part of the Simons Presidential Lecture series hosted by the Simons Foundation.
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Scott Dodelson
Scott Dodelson@ScottDodelson·
"DESI is now state-of-the-art, giving us insight into how fast the universe has been expanding over the past 5-10 billion years. The fiducial cosmological model predicts the distance-redshift relation. So, these measurements allow us to test ΛCDM. And the model seems to fail ..."
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Dan Scolnic
Dan Scolnic@DScol·
Really impressive H0-related paper by Richard Stiskalek et al. arxiv.org/pdf/2603.09880 to make full Bayesian forward model of the Milky Way Gaia+HST Cepheid sample—periods, parallaxes, magnitudes, MW disk geometry, and survey selection all modeled together. Key: Bayesian model must reproduce the data. A recent reanalysis (HM26) that lowered H₀ modeled the MW disk as a sphere and ignored selection, pushing Cepheids farther away. With a realistic disk + selection, the Cepheid calibration and the Hubble tension remain. Thread.
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Will M Farr
Will M Farr@farrwill·
@WKCosmo @Kaju_Nut Yeah, I used to do this, and then I realized I was spending all my time talking in general terms about my group, and not actually getting to the cool result or science I was here to talk about.
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Nirmalya Kajuri
Nirmalya Kajuri@Kaju_Nut·
There's a practice, which I also follow, of flashing pictures of my collaborators at the beginning of the talk. I do this because I hope it will help my student collaborators. But as an audience member, I am bored by those slides and can never remember the names/faces afterwards. Fellow academics: what are your thoughts on this?
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Alex Lupsasca
Alex Lupsasca@ALupsasca·
Our recent preprint on gluon amplitudes has sparked a lot of discussion, so I want to share the backstory — including how AI helped crack a problem that had stumped us for a year. I'll also be giving a public lecture at Harvard this week. Details at the end.
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Jonathan Gorard
Jonathan Gorard@getjonwithit·
Like @davidbessis and others, I think that Hinton is wrong. To explain why, let me tell you a brief story. About a decade ago, in 2017, I developed an automated theorem-proving framework that was ultimately integrated into Mathematica (see: youtube.com/watch?v=mMaid2…) (1/15)
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YouTube
vitrupo@vitrupo

Geoffrey Hinton says mathematics is a closed system, so AIs can play it like a game. They can pose problems to themselves, test proofs, and learn from what works, without relying on human examples. “I think AI will get much better at mathematics than people, maybe in the next 10 years or so.”

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Jonathan Gorard
Jonathan Gorard@getjonwithit·
Here's an important question that we must contend with increasingly as AI-for-Mathematics pipelines become more commonplace: Why do we care about solving hard problems? Almost always, the answer is *not* because we particularly want the hard problem to be solved. (1/12)
Budden@davidmbudden

I really don't know why this needs saying, but can we all stop pretending a buggy line of math proof is inherently more catastrophic than a buggy line of code? Sure. Some are. I would wager (metaphorically!!!!) the median published math paper has > 0 bugs. Without invalidating.

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Phil Armitage
Phil Armitage@philip_armitage·
Xmas paper! Matteo Cantiello @kantyellow @FlatironInst shows that supermassive gas envelopes supported by black hole accretion possess an instability strip. Observing this variability is a decisive test of the quasi-star model for Little Red Dots. arxiv.org/abs/2512.17997
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Keşfet

@curiouswavefn @WKCosmo @Kaju_Nut @Yale @NANOGrav @davidbessis @kantyellow @FlatironInst