67 research outputs found
Interplanetary magnetic field controlled Alfv\'{e}n wings at Earth during encounter of a coronal mass ejection
In the vicinity of Earth's orbit, the typical solar wind Alfv\'{e}n Mach
number exceeds 5, and the super-Alfv\'{e}nic solar wind drives a conventional
magnetosphere configuration. However, at the ejecta phase of an interplanetary
coronal mass ejection (ICME) event, the Alfv\'{e}n Mach number may experience a
significant reduction due to the intensified interplanetary magnetic field
(IMF) strength and decreased density. On 24 April 2023, an ICME reached Earth's
orbit. The solar wind density dropped to as low as 0.3 amu/cc while the IMF
strength is about 25 nT. As a result, the solar wind flow transitions to a
sub-Alfv\'{e}nic state with an Alfv\'{e}n Mach number of 0.4, providing
opportunities to investigate the interaction of planetary magnetospheres with
low Mach number solar wind. We carry out global simulations to investigate the
responses of Earth's magnetosphere to the sub-Alfv\'{e}nic ICME ejecta. The
global magnetohydrodynamic (MHD) simulation results show the formation of
Alfv\'{e}n wings as the solar wind becomes sub-Alfv\'{e}nic. Furthermore, the
sub-Alfv\'{e}nic period was characterized by the dominance of IMF By component,
causing the Alfv\'{e}n wings to extend towards the dawn and dusk sides. In this
paper, we present the structures of the magnetic field, plasma flow, and
current system around the Alfv\'{e}n wings. The global magnetospheric
convection under the sub-Alfv\'{e}nic solar wind condition is discussed in
depth. Our results achieve a new level of understanding about the interaction
between a magnetized body and sub-Alfv\'{e}nic upstream conditions, and provide
guidance for future observations
Numerical Study of Magnetic Island Coalescence Using Magnetohydrodynamics With Adaptively Embedded Particle-In-Cell Model
Collisionless magnetic reconnection typically requires kinetic treatments
that are, in general, computationally expensive compared to fluid-based models.
In this study, we use the magnetohydrodynamics with adaptively embedded
particle-in-cell (MHD-AEPIC) model to study the interaction of two magnetic
flux ropes. This innovative model embeds one or more adaptive PIC regions into
a global MHD simulation domain such that the kinetic treatment is only applied
in regions where kinetic physics is prominent. We compare the simulation
results among three cases: 1) MHD with adaptively embedded PIC regions, 2) MHD
with statically (or fixed) embedded PIC regions, and 3) a full PIC simulation.
The comparison yields good agreement when analyzing their reconnection rates
and magnetic island separations, as well as the ion pressure tensor elements
and ion agyrotropy. In order to reach a good agreement among the three cases,
large adaptive PIC regions are needed within the MHD domain, which indicates
that the magnetic island coalescence problem is highly kinetic in nature where
the coupling between the macro-scale MHD and micro-scale kinetic physics is
important.Comment: 9 pages, 10 figure
Nonlinear sub-cyclotron resonance as a formation mechanism for gaps in banded chorus
An interesting characteristic of magnetospheric chorus is the presence of a
frequency gap at , where is the electron
cyclotron angular frequency. Recent chorus observations sometimes show
additional gaps near and . Here we present a novel
nonlinear mechanism for the formation of these gaps using Hamiltonian theory
and test-particle simulations in a homogeneous, magnetized, collisionless
plasma. We find that an oblique whistler wave with frequency at a fraction of
the electron cyclotron frequency can resonate with electrons, leading to
effective energy exchange between the wave and particles
Deep Learning-based Marine Target Detection Method with Multiple Feature Fusion
Considering the problem of radar target detection in the sea clutter environment, this paper proposes a deep learning-based marine target detector. The proposed detector increases the differences between the target and clutter by fusing multiple complementary features extracted from different data sources, thereby improving the detection performance for marine targets. Specifically, the detector uses two feature extraction branches to extract multiple levels of fast-time and range features from the range profiles and the range-Doppler (RD) spectrum, respectively. Subsequently, the local-global feature extraction structure is developed to extract the sequence relations from the slow time or Doppler dimension of the features. Furthermore, the feature fusion block is proposed based on adaptive convolution weight learning to efficiently fuse slow-fast time and RD features. Finally, the detection results are obtained through upsampling and nonlinear mapping to the fused multiple levels of features. Experiments on two public radar databases validated the detection performance of the proposed detector
Applying Single-Cell Technology in Uveal Melanomas: Current Trends and Perspectives for Improving Uveal Melanoma Metastasis Surveillance and Tumor Profiling
Uveal melanoma (UM) is the most common primary adult intraocular malignancy. This rare but devastating cancer causes vision loss and confers a poor survival rate due to distant metastases. Identifying clinical and molecular features that portend a metastatic risk is an important part of UM workup and prognostication. Current UM prognostication tools are based on determining the tumor size, gene expression profile, and chromosomal rearrangements. Although we can predict the risk of metastasis fairly accurately, we cannot obtain preclinical evidence of metastasis or identify biomarkers that might form the basis of targeted therapy. These gaps in UM research might be addressed by single-cell research. Indeed, single-cell technologies are being increasingly used to identify circulating tumor cells and profile transcriptomic signatures in single, drug-resistant tumor cells. Such advances have led to the identification of suitable biomarkers for targeted treatment. Here, we review the approaches used in cutaneous melanomas and other cancers to isolate single cells and profile them at the transcriptomic and/or genomic level. We discuss how these approaches might enhance our current approach to UM management and review the emerging data from single-cell analyses in UM
Detection of magnetospheric ion drift patterns at Mars
Mars lacks a global magnetic field, and instead possesses small-scale crustal
magnetic fields, making its magnetic environment fundamentally different from
intrinsic magnetospheres like those of Earth or Saturn. Here we report the
discovery of magnetospheric ion drift patterns, typical of intrinsic
magnetospheres, at Mars usingmeasurements fromMarsAtmosphere and Volatile
EvolutioNmission. Specifically, we observewedge-like dispersion structures of
hydrogen ions exhibiting butterfly-shaped distributions within the Martian
crustal fields, a feature previously observed only in planetary-scale intrinsic
magnetospheres. These dispersed structures are the results of driftmotions that
fundamentally resemble those observed in intrinsic magnetospheres. Our findings
indicate that the Martian magnetosphere embodies an intermediate case where
both the unmagnetized and magnetized ion behaviors could be observed because of
the wide range of strengths and spatial scales of the crustal magnetic fields
around Mars.Comment: 10 pages, 6 figure
Earth's Alfv\'en wings driven by the April 2023 Coronal Mass Ejection
We report a rare regime of Earth's magnetosphere interaction with
sub-Alfv\'enic solar wind in which the windsock-like magnetosphere transforms
into one with Alfv\'en wings. In the magnetic cloud of a Coronal Mass Ejection
(CME) on April 24, 2023, NASA's Magnetospheric Multiscale mission distinguishes
the following features: (1) unshocked and accelerated cold CME plasma coming
directly against Earth's dayside magnetosphere; (2) dynamical wing filaments
representing new channels of magnetic connection between the magnetosphere and
foot points of the Sun's erupted flux rope; (3) cold CME ions observed with
energized counter-streaming electrons, evidence of CME plasma captured due to
reconnection between magnetic-cloud and Alfv\'en-wing field lines. The reported
measurements advance our knowledge of CME interaction with planetary
magnetospheres, and open new opportunities to understand how sub-Alfv\'enic
plasma flows impact astrophysical bodies such as Mercury, moons of Jupiter, and
exoplanets close to their host stars.Comment: 14 pages, including 4 figures, Under review in Geophys. Res. Let
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