41,133 research outputs found
Collisionless Damping of Fast MHD Waves in Magneto-rotational Winds
We propose collisionless damping of fast MHD waves as an important mechanism
for the heating and acceleration of winds from rotating stars. Stellar rotation
causes magnetic field lines anchored at the surface to form a spiral pattern
and magneto-rotational winds can be driven. If the structure is a magnetically
dominated, fast MHD waves generated at the surface can propagate almost
radially outward and cross the field lines. The propagating waves undergo
collisionless damping owing to interactions with particles surfing on magnetic
mirrors that are formed by the waves themselves. The damping is especially
effective where the angle between the wave propagation and the field lines
becomes moderately large ( to ). The angle tends naturally
to increase into this range because the field in magneto-rotational winds
develops an increasingly large azimuthal component. The dissipation of the wave
energy produces heating and acceleration of the outflow. We show using
specified wind structures that this damping process can be important in both
solar-type stars and massive stars that have moderately large rotation rates.
This mechanism can play a role in coronae of young solar-type stars which are
rapidly rotating and show X-ray luminosities much larger than the sun. The
mechanism could also be important for producing the extended X-ray emitting
regions inferred to exist in massive stars of spectral type middle B and later.Comment: 12 pages, including 7 figures, accepted for publication in Ap
Detection of Children Abuse by Voice and Audio Classification by Short-Time Fourier Transform Machine Learning implemented on Nvidia Edge GPU device
The safety of children in children home has become an increasing social
concern, and the purpose of this experiment is to use machine learning applied
to detect the scenarios of child abuse to increase the safety of children. This
experiment uses machine learning to classify and recognize a child's voice and
predict whether the current sound made by the child is crying, screaming or
laughing. If a child is found to be crying or screaming, an alert is
immediately sent to the relevant personnel so that they can perceive what the
child may be experiencing in a surveillance blind spot and respond in a timely
manner. Together with a hybrid use of video image classification, the accuracy
of child abuse detection can be significantly increased. This greatly reduces
the likelihood that a child will receive violent abuse in the nursery and
allows personnel to stop an imminent or incipient child abuse incident in time.
The datasets collected from this experiment is entirely from sounds recorded on
site at the children home, including crying, laughing, screaming sound and
background noises. These sound files are transformed into spectrograms using
Short-Time Fourier Transform, and then these image data are imported into a CNN
neural network for classification, and the final trained model can achieve an
accuracy of about 92% for sound detection.Comment: 5 pages, 7 figures, PRAI 202
Probabilistic teleportation of unknown two-particle state via POVM
We propose a scheme for probabilistic teleportation of unknown two-particle
state with partly entangled four-particle state via POVM. In this scheme the
teleportation of unknown two-particle state can be realized with certain
probability by performing two Bell state measurements, a proper POVM and a
unitary transformation.Comment: 5 pages, no figur
Calculations of polarizabilities and hyperpolarizabilities for the Be ion
The polarizabilities and hyperpolarizabilities of the Be ion in the
state and the state are determined. Calculations are performed
using two independent methods: i) variationally determined wave functions using
Hylleraas basis set expansions and ii) single electron calculations utilizing a
frozen-core Hamiltonian. The first few parameters in the long-range interaction
potential between a Be ion and a H, He, or Li atom, and the leading
parameters of the effective potential for the high- Rydberg states of
beryllium were also computed. All the values reported are the results of
calculations close to convergence. Comparisons are made with published results
where available.Comment: 18 pp; added details to Sec. I
Fano interference and cross-section fluctuations in molecular photodissociation
We derive an expression for the total photodissociation cross section of a
molecule incorporating both indirect processes that proceed through excited
resonances, and direct processes. We show that this cross section exhibits
generalized Beutler-Fano line shapes in the limit of isolated resonances.
Assuming that the closed system can be modeled by random matrix theory, we
derive the statistical properties of the photodissociation cross section and
find that they are significantly affected by the direct processes. We identify
a unique signature of the direct processes in the cross-section distribution in
the limit of isolated resonances.Comment: 4 pages, 4 figure
Exploring the quantum critical behaviour in a driven Tavis-Cummings circuit
Quantum phase transitions play an important role in many-body systems and
have been a research focus in conventional condensed matter physics over the
past few decades. Artificial atoms, such as superconducting qubits that can be
individually manipulated, provide a new paradigm of realising and exploring
quantum phase transitions by engineering an on-chip quantum simulator. Here we
demonstrate experimentally the quantum critical behaviour in a
highly-controllable superconducting circuit, consisting of four qubits coupled
to a common resonator mode. By off-resonantly driving the system to renormalise
the critical spin-field coupling strength, we have observed a four-qubit
non-equilibrium quantum phase transition in a dynamical manner, i.e., we sweep
the critical coupling strength over time and monitor the four-qubit scaled
moments for a signature of a structural change of the system's eigenstates. Our
observation of the non-equilibrium quantum phase transition, which is in good
agreement with the driven Tavis-Cummings theory under decoherence, offers new
experimental approaches towards exploring quantum phase transition related
science, such as scaling behaviours, parity breaking and long-range quantum
correlations.Comment: Main text with 3 figure
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