Pregled bibliografske jedinice broj: 789693
Predicting Coronal Mass Ejections transit times to Earth with neural network
Predicting Coronal Mass Ejections transit times to Earth with neural network // Monthly notices of the Royal Astronomical Society, 456 (2016), 2; 1542-1548 doi:10.1093/mnras/stv2782 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 789693 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Predicting Coronal Mass Ejections transit times to Earth with neural network
Autori
Sudar, Davor ; Vršnak, Bojan ; Dumbović, Mateja
Izvornik
Monthly notices of the Royal Astronomical Society (0035-8711) 456
(2016), 2;
1542-1548
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Sun: coronal mass ejections (CMEs) ; solar-terrestrial relations
Sažetak
Predicting transit times of Coronal Mass Ejections (CMEs) from their initial parameters is a very important subject, not only from the scientific perspective, but also because CMEs represent a hazard for human technology. We used a neural network to analyze transit times for 153 events with only two input parameters: initial velocity of the CME, v, and Central Meridian Distance, CMD, of its associated flare. We found that transit time dependence on v is showing a typical drag-like pattern in the solar wind. The results show that the speed at which acceleration by drag changes to deceleration is around 500 km/s. Transit times are also found to be shorter for CMEs associated with flares on the western hemisphere than those originating on the eastern side of the Sun. We attribute this difference to the eastward deflection of CMEs on their path to 1 AU. The average error of the NN prediction in comparison to observations is around 12 hours which is comparable to other studies on the same subject.
Izvorni jezik
Engleski
Znanstvena područja
Fizika
POVEZANOST RADA
Projekti:
HRZZ-IP-2013-11-6212 - Promjenjivost Sunca i zvijezda (SOLSTEL) (Vršnak, Bojan, HRZZ - 2013-11) ( CroRIS)
Ustanove:
Geodetski fakultet, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus