Simon Birrer

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Simon Birrer

Simon Birrer

@sibirrer

Assistant Professor at Stony Brook

Katılım Haziran 2012
25 Takip Edilen25 Takipçiler
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Dan Scolnic
Dan Scolnic@DScol·
Wow, big congrats to TDCOSMO for their `Milestone’ paper: arxiv.org/abs/2506.03023 . They analyze 8 strongly lensed quasars and find Hubble constant of 72+-3 km/s/Mpc with supernova prior on Omega_M, and H0=73+-3 with DESI BAO prior. This was one of the two local H0 studies from JWST I was most excited to see this year because the teams and tools are independent of SH0ES (other was the TRGB-SBF Project, got 73.8+-2.4). This was an amazing 6 year (!!) journey by TDCOSMO to get here..Story time..
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Simon Birrer
Simon Birrer@sibirrer·
Excited to share the latest work on measuring the Hubble constant by the TDCOSMO collaboration: arxiv.org/abs/2506.03023 This work was five years in the making by many excellent people
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Anna M Nierenberg
Anna M Nierenberg@annanierenberg·
Announcing the first paper from our JWST lensed quasar dark matter survey. TLDR: We are optimistic we will be able to to use the full survey to confirm the existence of completely dark, dark matter halos if they exist. arxiv.org/abs/2309.10101
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Dr. Mia de los Reyes
Dr. Mia de los Reyes@MiaDoesAstro·
omg @Stanford already starting with blatant union-busting rhetoric: "Stanford’s relationship with our graduate students is, first and foremost, an educational one." babe no, grad students are *workers* whose labor props up the university, come on we've been through this
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Stony Brook Student Employees Union
What is the first thing you would do if you had a living wage? SBU and other (grad) workers reply here to answer!
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Ji Won Park
Ji Won Park@jiwoncpark·
Bonus: We use raytracing in Lenstronomy to enhance the lensing scales of large-scale simulations. Starting with convergence computed on a coarse ~1' grid, we introduce finer fluctuations on galaxy lensing scales of ~1" to generate our training set. github.com/lenstronomy/le…
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Ji Won Park
Ji Won Park@jiwoncpark·
Paper alert🚨 Proteins are my new dark energy, but my latest paper employs hierarchical Bayesian inference, importance sampling, deep sets – all methods close to my heart! 🧵arxiv.org/abs/2211.07807
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KIPAC
KIPAC@KIPAC1·
We are super excited to announce a mini lecture series on #JWST early science! How is this legendary telescope changing our understanding of first galaxies, cosmology, and exoplanets? Join us on Oct. 25 for the first talk in the series. 🌌 More info: goto.stanford.edu/jwst-galaxies
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