1,970 research outputs found
Fermi Large Area Telescope observations of the supernova remnant HESS J1731-347
Context: HESS J1731-347 has been identified as one of the few TeV-bright
shell-type supernova remnants (SNRs). These remnants are dominated by
nonthermal emission, and the nature of TeV emission has been continuously
debated for nearly a decade.
Aims: We carry out the detailed modeling of the radio to gamma-ray spectrum
of HESS J1731-347 to constrain the magnetic field and energetic particles
sources, which we compare with those of the other TeV-bright shell-type SNRs
explored before.
Methods: Four years of data from Fermi Large Area Telescope (LAT)
observations for regions around this remnant are analyzed, leading to no
detection correlated with the source discovered in the TeV band. The Markov
Chain Monte Carlo method is used to constrain parameters of one-zone models for
the overall emission spectrum.
Results: Based on the 99.9% upper limits of fluxes in the GeV range, one-zone
hadronic models with an energetic proton spectral slope greater than 1.8 can be
ruled out, which favors a leptonic origin for the gamma-ray emission, making
this remnant a sibling of the brightest TeV SNR RX J1713.7-3946, the Vela
Junior SNR RX J0852.0-4622, and RCW 86. The best-fit leptonic model has an
electron spectral slope of 1.8 and a magnetic field of about 30 muG, which is
at least a factor of 2 higher than those of RX J1713.7-3946 and RX
J0852.0-4622, posing a challenge to the distance estimate and/or the energy
equipartition between energetic electrons and the magnetic field of this
source. A measurement of the shock speed will address this challenge and has
implications on the magnetic field evolution and electron acceleration driven
by shocks of SNRs.Comment: 7 pages, 3 fogures, A&A in pres
Tentative evidence of spatially extended GeV emission from SS433/W50
We analyze 10 years of Fermi-LAT data towards the SS433/W50 region. With the
latest source catalog and diffuse background models, the gamma-ray excess from
SS433/W50 is detected with a significance of 6{\sigma} in the photon energy
range of 500 MeV - 10 GeV. Our analysis indicates that an extended flat disk
morphology is preferred over a point-source description, suggesting that the
GeV emission region is much larger than that of the TeV emission detected by
HAWC. The size of the GeV emission is instead consistent with the extent of the
radio nebula W50, a supernova remnant being distorted by the jets, so we
suggest that the GeV emission may originate from this supernova remnant. The
spectral result of the GeV emission is also consistent with an supernova
remnant origin. We also derive the GeV flux upper limits on the TeV emission
region, which put moderate constrains on the leptonic models to explain the
multiwavelength data.Comment: 7 pages, 4 figures, accepted for publication in A&
A Delay Compensation Framework Based on Eye-Movement for Teleoperated Ground Vehicles
An eye-movement-based predicted trajectory guidance control (ePTGC) is
proposed to mitigate the maneuverability degradation of a teleoperated ground
vehicle caused by communication delays. Human sensitivity to delays is the main
reason for the performance degradation of a ground vehicle teleoperation
system. The proposed framework extracts human intention from eye-movement.
Then, it combines it with contextual constraints to generate an
intention-compliant guidance trajectory, which is then employed to control the
vehicle directly. The advantage of this approach is that the teleoperator is
removed from the direct control loop by using the generated trajectories to
guide vehicle, thus reducing the adverse sensitivity to delay. The delay can be
compensated as long as the prediction horizon exceeds the delay. A
human-in-loop simulation platform is designed to evaluate the teleoperation
performance of the proposed method at different delay levels. The results are
analyzed by repeated measures ANOVA, which shows that the proposed method
significantly improves maneuverability and cognitive burden at large delay
levels (>200 ms). The overall performance is also much better than the PTGC
which does not employ the eye-movement feature.Comment: 9 pages, 11 figure
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