The Physics EDI bookclub on 'Einstein on Race and Racism' concluded in February. During the bookclub we come together to talk frankly about race and how we can use our collective mass to change the shape of racial bias in physics. For EDI details: ow.ly/6Gdi50DUk9S

Our proof-of-concept paper using instance segmentation methods for particle tracking is up on arxiv! A work in progress, but I'm very excited to see where this work goes! arxiv.org/abs/2103.06509

Our vCHEP paper characterizing Interaction Networks for particle tracking is up! We show that networks with as few as 6k parameters reach nearly perfect edge classification efficiency (eg more likely to fit on FPGAs 😉) Gage DeZoort Mark Neubauer Javier M. Duarte arxiv.org/abs/2103.16701

So proud of the Princeton Physics community for pulling off the first P4 (Prospective Physics PhD Preview), here's to many more! PrincetonPhysics

We're happy to welcome the Princeton Physics Ambassadors to Twitter! Be sure to check out the videos from their first Prospective Physics PhD Preview (P4) program, and feel free to ask them anything about grad life, apps, and research.

The 2022 Prospective Physics PhD Review is accepting applications! P4 runs Jan 28th-30th and helps students engage in research, identify ideal grad programs, and develop a competitive grad app. Click here for details and how to apply! phy-ambassadors.princeton.edu/p4/

Do you want to learn about Physics grad admissions from a Princeton perspective? Attend the Grad Life, Grad App, and CV & SOP webinars! Register ASAP, first event is in 10/20. See our site for more details! phy-ambassadors.princeton.edu/grad-admission…

I've started a research blog! gagedezoort.github.io My first posts focus on 1) correcting the "missing mass" carried away by neutrinos in tau-tau mass spectra and 2) particle tracking using a conformal mapping of tracker hit coordinates... more to come!

Our paper titled “Graph Neural Networks for Charged Particle Tracking on FPGAs” is now published in Frontiers in Big Data (Efficient #AI in #ParticlePhysics and #Astrophysics)! frontiersin.org/article/10.338… Javier M. Duarte Savannah Thais 👩🏼‍💻 وصال بی مثال ⁦🇮🇷⁩ Shih-Chieh Hsu Gage DeZoort IRIS-HEP

Sequel to a previous such review with Peter Battaglia "GNN at the LHC" now online doi.org/10.1038/s42254… at Nature Reviews Physics. Shout out to Gage DeZoort and CatherineBiscarat for all the work !

Check out our review of graph neural networks at the LHC! Complete with intros to both LHC physics and GNN methods to engage both audiences :)

Very nice and informative read! 🎉 (Missed it until now 🙃) nature.com/articles/s4225…

In our May issue: 🎇Graph neural networks at the Large Hadron Collider 🤖Science in the age of LLMs ✨Density matrix renormalization group 🥪Superconductivity & correlated phases in non-twisted bilayer & trilayer graphene nature.com/natrevphys/vol…

Art and science collide!

Check out our recent proceedings on object condensation applied to charged particle tracking! TL;DR, condensing tracks in a learned latent space is a powerful way to render tracks downstream from an edge classifier arxiv.org/abs/2309.16754