• Aucun résultat trouvé

A Time-Evolving 3D Method Dedicated to the Reconstruction of Solar plumes and Results Using Extreme Ultra-Violet Data

N/A
N/A
Protected

Academic year: 2021

Partager "A Time-Evolving 3D Method Dedicated to the Reconstruction of Solar plumes and Results Using Extreme Ultra-Violet Data"

Copied!
17
0
0

Texte intégral

Loading

Figure

Figure 1. Sheme of the data aquisition geometry. ( O ; x, y, z) denes the Carrington helio-
Figure 2. Tomographi Reonstrution with Temporal Evolution Algorithm
Table 2. Simulation Denition: Geometri Parameters
Figure 4. Comparison of x◦ g simulated and reonstruted at dierent times. ∆T is the time
+4

Références

Documents relatifs

\les" (each le being a multivariate time sequence for the data acquired during the a particular reactor operation), we will compute the parameters of the mixture associated to

Fig 07: Integrated RMS displacement of the beam excited by the measured displacement on an active table It is important to note that the values obtained in the above illustration

The yearly performance to be estimated and guaranteed with this methodology is the fractional energy savings ܨܵܣܸ ௧௛ (eq. 1), which represent the auxiliary energy ܳ ஺௨௫

In characterizing the local time-scales of variability of the solar resource, the main contributions of the study are the introduction of the amplitude modulation-frequency

Numerical values of ultraviolet and visible irradiation fluxes used in this work are given for aeronomic modeling purposes and a possible variability related to the 11-year

While the geomagnetic indices are also well correlated with the other solar wind parameters considered in this study (the solar wind dynamic pressure, velocity, density, and magnetic

In Section VI-A, we discuss the results of data treatment methods proposed by our industry partners, informed by their own experience and the state of the literature (Section

The bootstrap is a computer-based method proposed by Efron et al, 1993 to simulate the sample distribution around a meaningful statistic value (e.g., mean, median,