scholar.google.com › citations
Dec 28, 2017 · This article presents a distributed computing approach to detect cosmic rays in images taken by the Hubble Space Telescope (HST). A cloud ...
(2017b), we deployed a cloud based distributed computing platform for processing HST observations to identify and analyze comsic rays. This early implementation ...
Distributed Cosmic Ray Detection Using Cloud Computing. - dblp
dblp.org › conf › carla › SchnyderNT17
Germán Schnyder , Sergio Nesmachnow, Gonzalo Tancredi: Distributed Cosmic Ray Detection Using Cloud Computing. CARLA 2017: 414-429. manage site settings.
Jul 6, 2021 · The Latin American Giant Observatory (LAGO) is a distributed cosmic ray observatory at a regional scale in Latin America, by deploying a ...
Abstract: This article presents two scheduling algorithms applied to the processing of astronomical images to detect cosmic rays on distributed memory high ...
E-mail: a [email protected]. We present a current status of data center based on KCDC (KASCADE Cosmic Ray Data Centre),.
... cloud computing have been developed to handle massive data streams. In this paper we describe how cloud computing, and in particular the mapreduce paradigm ...
We describe the software design of a mobile application which collects data from smartphone cameras without overburdening the phone's CPU or battery.
Mar 13, 2024 · In this paper we propose the method for detecting potential anomalous cosmic ray particle tracks in big data image dataset acquired by ...
People also ask
How do we detect cosmic rays?
Can cosmic rays be captured?
Two scheduling algorithms applied to the processing of astronomical images to detect cosmic rays on distributed memory high performance computing systems ...