The Project 8 Experiment
Welcome to the Project 8 website!
Project 8 is a neutrino mass experiment. Navigate through this website to find out more about who we are and the science that we do. You can also find links to all our recent publications as well as contact information.
"Tritium Beta Spectrum and Neutrino Mass Limit from Cyclotron Radiation Emission Spectroscopy" paper has been published in Physical Review Letters. This is a major paper about our latest results from Phase II of our experiment. Find it in Publications and check out the Physics highlight article. -September 6, 2023
"SYNCA: A Synthetic Cyclotron Antenna for the Project 8 Collaboration" has been published in the Journal of Instrumentation. This paper describes how we mimicked cyclotron radiation with a custom antenna. Get the link in Publications. - January 27, 2023
"Viterbi Decoding of CRES signals in Project 8" paper has been published in New Journal of Physics. This paper is about a novel application of the Viterbi algorithm to cyclotron radiation signals. You can find it in Publications. -May 20, 2022
"The Project 8 Experiment" Snowmass White Paper on the arXiv. Look at this white paper if you want to know about the status of the experiment and our outlook for the future. A part of the Snowmass process. Find it in Publications. -March 14, 2022
Congratulations, Dr. Luis Saldaña! Luis defended his thesis and received his PhD from Yale University. Thesis link in Publications. -August 6, 2021
Congratulations, Dr. Nick Buzinsky! Nick defended his thesis and received his PhD from Massachusetts Institute of Technology. Thesis link in Publications. -July 21, 2021
Bayesian Sensitivity paper published. This paper explores Bayesian techniques to determine how far down in mass values a future neutrino mass experiment could reach. Check it out here: Publications. -June 2021
Congratulations, Dr. Christine Claessens! Christine defended her thesis and received her PhD from Johanes Gutenberg Universitat in Mainz. You can find her thesis here. -March 10, 2020
Signal Classification with Machine Learning paper published. In this paper, we describe our machine learning algorithm for analyzing our experiment signals, as well as relevant results. Find it in Publications. -March 2020
Hooray for Dr. Ali Ashtari Esfahani! Ali defended his thesis and received his PhD from the University of Washington. Read his thesis here. -August 6, 2020