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.

Experiment News

  • "Tritium Beta Spectrum and Neutrino Mass Limit from Cyclotron Radiation Emission Spectroscopy" paper on the arXiv. This is a major paper about our latest results from Phase II of our experiment. It's here in publications.

  • "Viterbi Decoding of CRES signals in Project 8" paper on the arXiv. This paper is about a novel application of the Viterbi algorithm to cyclotron radiation signals. Look out for it too be published soon, and find the pre-print in Publications. -March 25, 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

  • KATRIN releases the first sub-eV neutrino mass limit. Congrats to the KATRIN neutrino mass experiment, who have released the first ever neutrino mass limit below 1 eV/c^2. Look at their results here.

  • 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