Abstract TBA
In-person attendance will be capped at 20 people on a first-come, first-served basis, according to the current Yale policies.
More Information: https://covid19.yale.edu/campus-life/events-gatherings-meetings
This workshop will cover an introduction to Python and the powerful libraries numpy and matplotlib. In the process, we will cover array manipulation, plotting, histogramming, and efficient file IO. Finally, we pull these tools together to analyze some real-world data collected at Wright Lab.
Host:
Thomas Langford
In this workshop we will cover the equipment available at the Wright Lab Advanced Prototyping Center and how to get started designing parts. Basics of CNC laser and abrasive water jet cutting will be included, as well as an introduction to 3D printing. No prior experience is required, but having an idea for a project that you may want to get started on would be great. We will start off with a classroom presentation and then have a quick tour of the facilities. Attendance will be limited to 15, but additional sessions will be arranged if the session fills.
Host:
Neutrino Astronomy allows us to observe the distant, high-energy universe. It was born when the IceCube experiment reported the first observation of neutrinos with energies in the PeV regime. Neutrinos with higher energies, called ultra-high energy (UHE) neutrinos, are predicted to exist, but they have not been observed yet due to their extremely low flux, requiring immense detection volume.
We are delighted that famed author and mathematician Jordan Ellenberg will be joining us for a virtual talk this semester. In his words, our speaker wrote a book about geometry and found himself, surprisingly, constantly talking about poetry.
Dark matter is one of the most intriguing problems in physics today, and axions have become a popular dark matter candidate in recent years. HAYSTAC is a quantum-enhanced dark matter experiment which uses novel techniques to search for axions. In this talk I will give an introduction to dark matter, axions, and the HAYSTAC experiment. Then I will discuss a blinding technique called “salting” and my progress with implementing a salting analysis on the HAYSTAC.
In-person attendance will be capped at 20 people on a first-come, first-served basis, according to the current Yale policies.
More Information: https://covid19.yale.edu/campus-life/events-gatherings-meetings
Please email the host for the Zoom connection information.
Host: Michael Jewell
In-person attendance will be capped at 20 people on a first-come, first-served basis, according to the current Yale policies.
More Information: https://covid19.yale.edu/campus-life/events-gatherings-meetings
Please email the host for the Zoom connection information.
Host:Laura Havener
The validity of the Statistical Hadronization Model (SHM) has been successfully tested to adequately reproduce hadronic particle abundances over nine orders of magnitude in high energy collisions of heavy ions. Assuming a thermally equilibrated system, experimental particle yields at RHIC and the LHC serve as an anchor for the determination of common freeze-out parameters in the QCD phase diagram – namely, the baryo-chemical potential (µB) and the chemical freeze-out temperature (Tch) - via thermal fits in the SHM framework.
High-energy jets experience severe modifications along their passage through the quark-gluon plasma (QGP), a new state of matter created in ultra-relativistic heavy ion collisions. Due to the steeply falling jet spectrum, when we measure jets we are typically looking at the jets that lost the least energy. This selection bias hinders our ability to study true jet modifications, resulting in a more limited knowledge of the way the QGP interacts with the energetic partons.
