In a world increasingly facing new challenges at the forefront of plasma scientific research and technological innovation, CNR and ISTP pledge progress and achieve an impact in the integration of research into societal practices and policy

Home
Research Products
CONFERENCE ABSTRACTS
STRIKE beam characterization by means of machine learning tecniques: application on experimental data

STRIKE beam characterization by means of machine learning tecniques: application on experimental data

Delogu R.S.; Montisci A.; Pimazzoni A.; Serianni G.; Sias G.

Conference: 32nd Symposium on Fusion Technology - SOFT 2022, , Dubrovnik, Croatia / hybrid , 18-23 September 2022 Year: 2022
ISTP Authors:
Gianluigi Serianni
Keywords: STRIKE, Short-Time Retractable Instrumented Kalorimeter Experiment, Calorimeter
Research Activitie: CONFERENCE ABSTRACTS

Additional information


ID	471453
PRODUCT TYPE	Conference Abstract
LAST UPDATE	2022-09-29T16:24:43Z

MILANO

Via Roberto Cozzi 53 – 20125 Milano (MI)
Phone: + 39 02 66173238
Fax: +39 02 66173239

PADOVA

Corso Stati Uniti, 4 – 35127 Padova (PD)
Phone: +39 049 829500/1
Fax: +39 049 8700718

BARI

Via Amendola, 122/D – 70126 Bari (BA)
Phone: +39 080 5929507

Designed with love by HANDMEDIA