Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries?

Find out: bit.ly/3QsTGBk

🤔 #DYK The world’s largest digital camera is preparing to ship from SLAC to Rubin Observatory in Chile right now?!

Well, now you do.

#capturethecosmos #SLACexplains

⚙️ For more than 20 years in experimental particle physics and astrophysics, machine learning has been accelerating the pace of science, helping scientists tackle problems of greater and greater complexity.

More: bit.ly/4aTxsAG

#machinelearning #AI

🧬 DNA this! DNA that!

But did you know that a team of scientists used SLAC’s #LCLS to reveal valuable details about how DNA’s building blocks form? Well, now you do!

#NationalDNADay

stanford.io/3FiC6K0

🥵 We’re turning up the heat with our next SLAC on Tap!

On May 9, SLAC scientist/rock star Arianna Gleason will share the secrets scientists are squeezing out of Earth and other celestial bodies, from the origin of life to the future of clean energy.

🌏 stanford.io/3wadfY4

10 years may seem like a long time for a photography project, but not when the the photos are mapping the cosmos. The team SLAC finished building the LSST Camera, as covered The Verge. Once it's installed Rubin Observatory, it will take photographs for a decade: theverge.com/2024/4/3/24120…

Tech similar to the type used for rewritable DVDs may one day be used for quantum computers. In DVDs, lasers shift the material between 2 phases. Rice University, Berkeley Lab, SLAC & Brookhaven Lab researchers found a phase-changing quantum material: news.rice.edu/news/2024/disc…

#DidYouKnow that there are 6 kinds of quarks? They're up, down, charm, strange, top, and bottom. Quarks and gluons are the building blocks of protons and neutrons. Learn about U.S. Department of Energy's research on quarks Brookhaven Lab, Jefferson Lab, SLAC & Fermilab: energy.gov/science/doe-ex…

Learn more about the incredible camera that’ll #CaptureTheCosmos ! 👇

🛠️ Hannah Pollek, SLAC mechanical engineer, gives us an inside look at how the LSST camera will photograph the southern night sky once it gets installed at Rubin Observatory.

stanford.io/3CTulcw

#SLACExplains #RubinObservatory #capturethecosmos #Astronomy #DarkMatter #DarkEnergy

🥰 Last week, 100+ SLAC staff gathered for a volunteer appreciation lunch, where we recognized staff who participated in SLAC programs or supported activities.

Thank you to our volunteers who help make our events and programs possible!

#NationalVolunteerWeek

🤔 How do physicists work with computer scientists in academia and industry to advance machine learning?

Find out here: bit.ly/4aNY7hZ

♻️ SLAC scientist Christopher Tassone discusses research focused on developing tools to help refine chemical and biological recycling processes and assessing the recyclability and environmental impact of new polymers.

#EarthDay

bit.ly/3UdcvJw | stanford.io/4b3QTGz

📚 As the teams prepare to go to Washington D.C., we’re wishing Lynbrook High School and Joaquin Miller Middle School good luck at the National Science Bowl!

#NSB2024

stanford.io/43pxuNE

💫 Congratulations to SLAC's Thomas Devereaux, who has been named a AAAS Fellow for his contributions to computational materials science.

AAAS

Read more: stanford.io/49DHkwJ

😵‍💫 Don’t know your convolutional neural networks from your boosted decision trees?

Symmetry is here to help: bit.ly/4b48TRb

#AI #machinelearning

🤖 In the coming weeks, Symmetry will explore the ways scientists are using artificial intelligence to advance particle physics and astrophysics—in a series of articles written and illustrated entirely by humans!

Check out the first article now: bit.ly/3Uk4Sm6

✨ Bon voyage!

LSST Camera project staff and partners gathered yesterday for a celebration before the world’s largest camera gets sent off to Chile. They were joined by Kathy Turner, program manager U.S. Department of Energy, which funded the camera construction and will support Rubin operations.

Great new work by Daniel Ratner Sean Gasiorowski Kazuhiro Terao et al SLAC Stanford University Laboratoire Astroparticule & Cosmologie Université Paris Cité CNRS 🌍 -'Differentiable #simulation of a liquid #argon time projection chamber'-iopscience.iop.org/article/10.108… #machinelearning #HEP #particlephysics #AI #neutrinos Deep Underground Neutrino Experiment

✨ SLAC and Stanford University researchers open a new quantum realm by developing a method that harnesses the structure of light to twist and tweak the properties of 2D materials: stanford.io/3JhJ4RE