摘要: Helioseismic holography is a useful method to detect active regions on the
Sun's far side and improve space weather forecasts. We aim to improve
helioseismic holography by using a clear formulation of the problem, an
accurate forward solver in the frequency domain, and a better understanding of
the noise properties. Building on the work of Lindsey et al., we define the
forward- and backward-propagated wave fields (ingression and egression) in
terms of a Green's function. This Green's function is computed using an
accurate forward solver in the frequency domain. We analyse overlapping
segments of 31 hr of SDO/HMI dopplergrams, with a cadence of 24 hr. Phase
shifts between the ingression and the egression are measured and averaged to
detect active regions on the far side. The phase maps are compared with direct
EUV intensity maps from STEREO/EUVI. We confirm that medium-size active regions
can be detected on the far side with high confidence. Their evolution (and
possible emergence) can be monitored on a daily time scale. Seismic maps
averaged over 3 days provide an active region detection rate as high as 75% and
a false discovery rate only as low as 7%, for active regions with areas above
one thousandth of an hemisphere. For a large part, these improvements can be
attributed to the use of a complete Green's function (all skips) and to the use
of all observations on the front side (full pupil). Improved helioseismic
holography enables the study of the evolution of medium-size active regions on
the Sun's far side.