Enhancing the scan rate for axion dark matter: Quantum noise evasion and maximally informative analysis
Author | |
---|---|
Abstract |
|
Year of Publication |
2020
|
Academic Department |
Department of Physics
|
Degree |
Ph.D.
|
Number of Pages |
325
|
Date Published |
2020-05
|
University |
University of Colorado Boulder
|
City |
Boulder
|
JILA PI Advisors | |
Daniel_Palken_Thesis.pdf57.81 MB
|
|
Download citation | |
Publication Status |