102 research outputs found
Mode Switching and Subpulse Drifting in PSR B0826-34
We present high-quality observations of PSR B0826-34 at 1374 MHz. The
emission from this pulsar exhibits strong bursts of pulses followed by long
periods of `null' pulses. When it is strong, the radiation extends through the
whole pulse period. We show for the first time that there is weak emission
during the `null' phases, which should therefore be considered to be a
different mode rather than a null. During this weak mode the profile is similar
to that observed in the strong mode at low radio frequency. Using a
phase-tracking method, the pattern of drifting subpulses during the strong mode
is seen to be coherent across the whole profile. The drift rate is variable and
includes positive and negative values. Thirteen subpulse bands have been
directly observed, covering the whole longitude range. The subpulses and their
spacings () are wider in one half of the profile than those in the other
half. This difference, and the variation of observed within the two
regions, can be accounted for if the magnetic pole is inclined to the rotation
axis by about 0.5 degrees. These two regions appear to represent radiation from
outer and inner cones. The intensity modulation of subpulses in all longitude
ranges is related to the magnitude of the drift rate.Comment: 8 pages, 10 figures. Accepted for publication in MNRA
A detection of the layered structure of nearby open clusters
We applied the newly developed rose diagram overlay method to detect the
layered structure of 88 nearby open clusters (500~pc) on the three
projections after the distance correction of their member stars, based on the
catalog in literature. The results show that with the rose diagram overlay
method, a total of 74 clusters in our sample have a layered structure, while
the remaining clusters are without a clear layered structure. We for the first
time defined the layered structure parameters for the sample clusters.
Meanwhile, we found that the layered circle core area () has a strong
positive correlation with the number of cluster members, while the kernel
instability index () has a strong negative correlation with the number of
cluster members. Our study provides a novel perspective for the detection of
the layered structure of open clusters.Comment: 11 pages, 9 figures, 6 tables, accepted for publication in A&
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