HR: 1330h
AN: SH13A-11 [Abstracts]
TI: Potential Field Source Surface analysis from high resolution synoptic and heliographic maps
AU: * Tran, T V
EM: tran@astro.ucla.edu
AF: University of California, Los Angeles
Department of Physics & Astronomy, 430 Portola Plaza, Box 951547, Los Angeles, CA 90095-1547 United States
AU: Bertello, L
EM: bertello@astro.ucla.edu
AF: University of California, Los Angeles
Department of Physics & Astronomy, 430 Portola Plaza, Box 951547, Los Angeles, CA 90095-1547 United States
AU: Ulrich, R K
EM: ulrich@astro.ucla.edu
AF: University of California, Los Angeles
Department of Physics & Astronomy, 430 Portola Plaza, Box 951547, Los Angeles, CA 90095-1547 United States
AU: Boyden, J E
EM: boyden@astro.ucla.edu
AF: University of California, Los Angeles
Department of Physics & Astronomy, 430 Portola Plaza, Box 951547, Los Angeles, CA 90095-1547 United States
AB:
The well established existence of an inverse correlation between the solar magnetic flux tube expansion factor (FTE) and the solar wind speed (SWS) at the Earth allows for the possibility to
predict the SWS using observed solar photosphere magnetograms.
A widely used method to compute the FTE is the potential field source
surface (PFSS) model. Current PFSS models, however, do not always produce
good agreement between the observed and predicted SWS.
One complication is that traditional synoptic maps,
used as input in the PFSS models, use the Carrington coordinates as the
horizontal and vertical axes of the synoptic chart. Unfortunately,
this choice leads to a mix of the time and space coordinates
unless differential rotation is included in the tracking of
magnetic features.
We show here that the heliographic maps (longitude vs latitude
or sine latitude) may be a better choice for the PFSS models.
An additional problem is that the photospheric foot points
and the FTE calculated from the PFSS models depend on Nmax,
the number of multipole components used in the analysis.
Current analyses use a combination of low resolution maps and small values
of Nmax, typically around 30.
We find that using a small Nmax produces fringing patterns in the
reconstructed photospheric magnetic map. These fringing patterns alter
the locations of the computed foot prints and the computed magnetic
values on the photosphere as well as the predicted FTE. Increasing the
Nmax value will then improve the reconstructed map and reveal more detail.
In our analysis, we use high resolution synoptic and heliographic maps,
which are 512 by 256, and Nmax up to 255.
A typical simplification in previous analyses is to assume that
the line-of-sight component of the solar magnetic field in the
observed photospheric maps does not have a north-south contribution.
This assumption may not be correct if one wants to reconstruct the north-south
component map from the calculated coefficients using PFSS model.
We use the Shrauner-Scherrer method to create both line-of-sight
component and transverse component from the same observations. With the
assumption (∇ × \vec{B}) = 0,
we aim to obtain the north-south map from the
transverse map and remove the north-south component from the line-of-
sight component.
DE: 2134 Interplanetary magnetic fields
DE: 2169 Sources of the solar wind
DE: 2784 Solar wind/magnetosphere interactions
DE: 7509 Corona
DE: 7524 Magnetic fields
SC: SPA-Solar and Heliospheric Physics [SH]
MN: 2005 Joint Assembly