In 8.13 and 8.14, the 18-credit-hour classes known as Physics Junior Lab, students are introduced to experimental physics by replicating classic early-20th-century discoveries in such things as special relativity, quantum mechanics, and nuclear physics. The labs involve a lot of finessing of equipment, connecting of cables, and twiddling of knobs—not the sort of thing you can easily put online.
But Junior Lab professors Gunther Roland and Phil Harris, PhD ’11, both regularly collaborate with researchers around the globe on particle physics experiments requiring the analysis of enormous data sets. These big projects require that all of them be able not just to communicate across time zones but also to access experiments and data remotely.
So when the classes went online, they had students use data from the Large Hadron Collider at CERN to replicate the analysis that confirmed the existence of the Higgs boson. Students also got to work with data from the Laser Interferometer Gravitational-Wave Observatory (LIGO) and repeat the analysis that identified the gravitational waves caused by the collision of two black holes—work published in 2016 that led to a Nobel Prize for MIT professor Rainer Weiss.
Junior Lab students, who work in pairs, could no longer look at each other’s notebooks in the lab, but Roland says having lab partners use a shared online notebook encouraged more collaboration, an essential skill for experimental physicists. Students both edited the same document, and instructors could scroll through their notebooks in Zoom meetings and see their plots and calculations. Roland and Harris plan to keep the online shared notebooks—and may add a menu of projects like those using LIGO and LHC data—when everyone’s back on campus.
“I don’t think it should be the only thing,” Roland says, since that sort of analysis-based work lacks what he calls the “fiddling-with-the-knobs part” so essential in experimental physics. “The hands-on component is also very important. But it allows the students to do things that are cutting-edge right now instead of cutting-edge in the 1920s.”
The hype around DeepMind’s new AI model misses what’s actually cool about it
Some worry that the chatter about these tools is doing the whole field a disservice.
The walls are closing in on Clearview AI
The controversial face recognition company was just fined $10 million for scraping UK faces from the web. That might not be the end of it.
A quick guide to the most important AI law you’ve never heard of
The European Union is planning new legislation aimed at curbing the worst harms associated with artificial intelligence.
These materials were meant to revolutionize the solar industry. Why hasn’t it happened?
Perovskites are promising, but real-world conditions have held them back.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.