Research in the realm of accelerator physics focuses a lot on where you get the particles from. My group’s expertise is creating and manipulating electron beams. We’re typically interested in studying a process called photon emission by way of using light to impinge on a specially engineered material that will emit electrons when illuminated. My group are experts in generating high brightness electron beams via photoemission, using light to generate electrons.
I joined the Compact Muon Solenoid (CMS) experiment at the Large Hadron Collider (LHC) in 2005. The project then was already in the middle of construction and primarily I worked on the pixel detector and getting that ready for data taking, which started in 2010. But already I was thinking about what we want to do in the future. So I got involved with the H luminosity LHC upgrade, the next major upgrade of the facility at CERN that will allow us to take data at a rate that is in order of magnitude higher than what we have been doing so far. Starting about 2014, we really started seriously to make the plans for this work which had been listed as the highest priority project for the LHC upgrades.
As a graduate student in Germany at a national research lab, students weren’t allowed to do many thing for themselves. My advisor sent me to Cornell for six months to learn how to do things. In Newman Lab, the students do everything – how to use the clean room, how to solder, etc. So after I finished my PhD I came back to Newman Lab and Cornell.
A field experiment investigating how GPT-3 might be used to generate constituent email messages showed that legislators were only slightly less likely to respond to AI-generated messages than human-generated.