Deconvolution uncertainty for power sensors at the National Ignition Facility

Dominic M. Carrano; Ryan D. Muir

doi:10.1117/12.2511521

4 March 2019 Deconvolution uncertainty for power sensors at the National Ignition Facility

Dominic M. Carrano, Ryan D. Muir

Proceedings Volume 10898, High Power Lasers for Fusion Research V; 108980Q (2019) https://doi.org/10.1117/12.2511521
Event: SPIE LASE, 2019, San Francisco, California, United States

Abstract

We used a Monte Carlo method to generate error bars for deconvolved measurements from diagnostics on the National Ignition Facility (NIF). Through a process of masking and normalization of the diagnostic system’s known Impulse Response Function (IRF), we were able to diminish the deconvolved measurement error for all points of the waveform by a factor of < 2. This technique is generally applicable to deconvolutions with measured IRFs.

Citation Download Citation

Dominic M. Carrano and Ryan D. Muir "Deconvolution uncertainty for power sensors at the National Ignition Facility", Proc. SPIE 10898, High Power Lasers for Fusion Research V, 108980Q (4 March 2019); https://doi.org/10.1117/12.2511521

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available