scispace - formally typeset
Search or ask a question

What is higgsed phase? 


Best insight from top research papers

The Higgs phase refers to a phase of matter in which the Higgs field is condensed and the gauge symmetry is spontaneously broken. It is characterized by a gap in the excitation spectrum and the absence of a local order parameter. The Higgs phase can display rich phenomenology, such as superconductivity, and is proposed to be a symmetry-protected topological (SPT) phase. In particular, it is protected by a higher-form magnetic symmetry and a matter symmetry, which depend on the physical context . The Higgs phase can be classified as an SPT phase in the presence of a global U(1) symmetry associated with the Higgs field and a (d-2)-form U(1) magnetic symmetry, where d is the spatial dimension . The Higgs phase is related to the broken custodial symmetry and is associated with a transition between different types of confinement in gauge Higgs theories .

Answers from top 4 papers

More filters
Papers (4)Insight
The paper does not explicitly define the term "higgsed phase."
The paper does not explicitly define the term "higgsed phase."
The paper does not explicitly define the term "Higgsed phase." However, it mentions that the Higgs phase is a phase of spontaneously broken custodial symmetry.
The paper does not explicitly define the term "higgsed phase".

Related Questions

What lagged phase synchronisation reffering to eeg analysis?5 answersLagged phase synchronization in EEG analysis refers to the phenomenon where signals from brain regions with different frequencies exhibit a delay in their phase relationship. This lag synchronization can be observed between different brain oscillators, indicating interactions among multiple brain regions. Studies have shown that the direction of phase delay between EEG channels is influenced by the characteristic frequency of the sources, with a higher frequency channel leading to a phase delay towards a lower frequency channel. Lag synchronization in EEG can provide insights into the coordination and communication between different brain regions, shedding light on the underlying dynamics of brain networks.
What is meant by a higgs condensate?5 answersA Higgs condensate refers to the phenomenon where the Higgs field acquires a non-zero vacuum expectation value, leading to the spontaneous breaking of symmetry in certain phases of matter. This condensate plays a crucial role in the Higgs mechanism, which gives mass to particles in the Standard Model of particle physics. The Higgs condensate is considered a symmetry-protected topological (SPT) phase, characterized by higher-form symmetries and boundary anomalies. It is associated with rich phenomenology, such as superconductivity, and can exhibit edge modes and phase transitions in the presence of specific symmetries. Overall, the Higgs condensate represents a fundamental aspect of modern theoretical physics, explaining the origin of mass and the behavior of particles in the universe.
What are the subtypes of HIGM?5 answersThe subtypes of Hyper IgM syndrome (HIGM) include mutations in CD40 ligand (CD40L) and IKK-gamma (NEMO) genes, both X-linked, as well as mutations in CD40, Activation-Induced Cytidine Deaminase (AICDA), and Uracil-DNA Glycosylase (UNG), associated with autosomal recessive HIGM syndromes. In a study of Tunisian patients, three CD40LG mutations and three AICDA mutations were identified as the molecular basis of HIGM syndrome, with AID deficiency being the most frequent underlying molecular basis. Other subtypes of HIGM syndrome include autosomal dominant gain-of-function (GOF) mutations in PIK3CD and PIK3R1, which cause combined immunodeficiencies that can also present as CSR/HIGM defects.
What is the Haldane insulator phase?5 answersThe Haldane insulator phase is a gapped phase characterized by an exotic non-local order parameter that emerges in certain models, such as the one-dimensional Bose-Hubbard model with on-site and nearest-neighbor interactions. In these models, the Haldane insulator phase is characterized by the absence of current flow and the presence of a non-local order parameter. The Haldane insulator phase can also be found in modified Haldane models, where the strength of hopping terms is made unequal and certain symmetries are broken. In these models, the Haldane insulator phase can transition to a higher-order topological insulator phase at specific parameter values. The existence and properties of the Haldane insulator phase have been studied using various methods, including quantum Monte Carlo simulations and analytical calculations.
What are the phases of the cell cycle?5 answersThe cell cycle is composed of four phases: G1 (gap 1), S (DNA synthesis), G2 (gap 2), and M (mitosis).
What is phase singularity?5 answersStep 1: Phase singularity refers to points in space where the phase of a wave becomes undefined or singular. It can be seen in various fields such as optics, cardiac electrophysiology, and computational simulations. In optics, phase singularities are observed in optical vortex beams and can be exploited for improved sensing techniques and device design (Han et al.). In the context of cardiac electrophysiology, phase singularity identification systems are used to locate the organizing centers of spiral waves in the heart muscle, which are targeted for ablation therapy in treating certain heart rhythm disorders (Nam & Seop, Li et al.). Computational simulations also study the influence of phase singularity population size on the dynamics of topological defects, providing insights into the behavior of phase singularities in human atrial and ventricular fibrillation (Jenkins et al.). Step 3: Phase singularity refers to points in space where the phase of a wave becomes undefined or singular. It can be seen in various fields such as optics, cardiac electrophysiology, and computational simulations. In optics, phase singularities are observed in optical vortex beams and can be exploited for improved sensing techniques and device design (Han et al.). In the context of cardiac electrophysiology, phase singularity identification systems are used to locate the organizing centers of spiral waves in the heart muscle, which are targeted for ablation therapy in treating certain heart rhythm disorders (Nam & Seop, Li et al.). Computational simulations also study the influence of phase singularity population size on the dynamics of topological defects, providing insights into the behavior of phase singularities in human atrial and ventricular fibrillation (Jenkins et al.).

See what other people are reading

What is dressed quark in lattice qcd calculation?
4 answers
What is higgs boson?
5 answers
How does th?
5 answers
How does th?
5 answers
What is the temperature when the volume is equal to zero? Hypothetically speaking, what does this indicate? _________________________________________ ________________________________________________?
5 answers
How fractals involved in glass art?
5 answers
How fractals involved in glass art?
5 answers
What implications could have in a family problem?
4 answers
The "family problem" in particle physics refers to the mystery surrounding why there are precisely three generations of particles in our universe. One proposed solution involves extending the Standard Model to include an SU_f(3) symmetry, introducing family gauge bosons known as familons that interact with neutrinos to potentially explain dark matter's prevalence over visible matter. In the context of heterotic line bundle models, research suggests that N=1 vacua leading to a small number of chiral families are favored, with a peak distribution at three chiral families for certain manifold volumes, hinting at a potential link between the maximal number of families and gauge couplings. Additionally, abnormalities in infants' ribs were found to indicate a dominantly inherited risk of serious health issues within their families, emphasizing the importance of genetic implications within family structures.
What is dark matter and anti-matter?
4 answers
Dark matter is a mysterious form of matter that does not emit, absorb, or reflect light, making it invisible and detectable only through its gravitational effects. It is postulated to constitute about 27% of the universe's composition, influencing the structure and dynamics of galaxies and the cosmos. Anti-matter, on the other hand, is a mirror image of regular matter, with properties like electric charge reversed. When matter and anti-matter collide, they annihilate each other, releasing energy. Theoretical models propose that interactions between ordinary particles and their mirror world counterparts could generate baryon asymmetries and induce oscillations between different sectors, leading to intriguing physical consequences. Cosmic-ray studies, like those by the Alpha Magnetic Spectrometer, utilize antimatter particles to explore phenomena such as dark matter annihilation in the Galaxy.
How is homophily used in social sciences?
5 answers
Homophily, the tendency for individuals with similar traits to form social connections, plays a crucial role in various social science studies. It is identified as a significant factor influencing the formation of social groups. Homophily can impact the spread of health conditions like obesity and psychological states among friends and relatives, leading to peer effects. In socio-spatial networks, homophily can hinder resourcefulness in hazard-prone areas, affecting community vulnerability and resilience to hazards. Additionally, homophily is observed in children's interactions, where individuals with developmental disabilities and typical development tend to preferentially interact with peers sharing similar characteristics. Overall, homophily is utilized in social sciences to understand how individuals with common traits or opinions tend to cluster together, influencing various aspects of social dynamics and network formations.
How to analyse data collected in physical testing?
5 answers
To analyze data collected in physical testing, various methods can be employed. Initially, the data needs to be calibrated and particle identification should be done, followed by event selection, background estimation, and signal extraction. Statistical and systematic errors should be considered, along with confidence intervals, credible ranges, and hypothesis testing. Techniques like linear regression can be used to fit optimal lines to experimental data, aiding in result determination. Additionally, graphical representation of data, gradual deduction, and Monte Carlo techniques can be utilized for accurate analysis and achieving experiment objectives. By following these steps, one can ensure precise analysis of physical testing data, leading to valuable insights and informed decision-making.