Indico is back online after maintenance on Tuesday, April 30, 2024.
Please visit Jefferson Lab Event Policies and Guidance before planning your next event:

May 8 – 12, 2023
Norfolk Waterside Marriott
US/Eastern timezone

Data handling of CYGNO experiment using INFN-Cloud solution

May 8, 2023, 3:00 PM
Marriott Ballroom IV (Norfolk Waterside Marriott)

Marriott Ballroom IV

Norfolk Waterside Marriott

235 East Main Street Norfolk, VA 23510
Oral Track 7 - Facilities and Virtualization Track 7 - Facilities and Virtualization


Dr Mazzitelli, Giovanni (Laboratori Nazionali di Frascati)


The INFN Cloud project was launched at the beginning of 2020, aiming to build a distributed Cloud infrastructure and provide advanced services for the INFN scientific communities. A Platform as a Service (PaaS) was created inside INFN Cloud that allows the experiments to develop and access resources as a Software as a Service (SaaS), and CYGNO is the beta-tester of this system. The aim of the CYGNO experiment is to realize a large gaseous Time Projection Chamber based on the optical readout of the photons produced in the avalanche multiplication of ionization electrons in a GEM stack. To this extent, CYGNO exploits the progress in commercial scientific Active Pixel Sensors based on Scientific CMOS for Dark Matter search and Solar Neutrino studies. CYGNO, like many other astroparticle experiments, requires a computing model to acquire, store, simulate and analyze data typically far from High Energy Physics (HEP) experiments. Indeed, astroparticle experiments are typically characterized by the fact to be less demanding from computing resources with respect to HEP one but have to deal with unique and unrepeatable data, sometimes collected in extreme conditions, with extensive use of templates and Montecarlo, and are often re-calibrated and reconstructed many times for a given data sets. Moreover, the varieties and the scale of computing models and requirements are extremely large. In this scenario, the Cloud infrastructure with standardized and optimized services offered to the scientific community could be a useful solution able to match the requirements of many small/medium size experiments. In this work, we will present the CYGNO computing model based on the INFN cloud infrastructure where the experiment software, easily extendible to similar experiments to similar applications on other similar experiments, provides tools as a service to store, archive, analyze, and simulate data.

Consider for long presentation Yes

Primary authors

ABRITTA COSTA, IGOR (Università degli Studi Roma Tre and INFN) Dr Mazzitelli, Giovanni (Laboratori Nazionali di Frascati)

Presentation materials

Peer reviewing