scispace - formally typeset
Search or ask a question

How the gluon distribution function determine proton structure function? 


Best insight from top research papers

The gluon distribution function determines the proton structure function by directly influencing it through a second-order linear differential equation. This relationship is crucial in understanding the proton's internal structure and behavior in deep inelastic scattering processes. Studies have shown that the gluon distribution can be extracted from the proton's longitudinal structure function at small x values, providing insights into the dynamics of parton interactions. Additionally, analyses based on the dynamical parton model with DGLAP equations have highlighted the significance of the gluon distribution in reproducing experimental measurements at high scales, emphasizing its role in high-energy scattering simulations. Furthermore, experiments like the STAR project at RHIC have contributed to constraining the polarized gluon distribution function, shedding light on the proton's spin structure.

Answers from top 5 papers

More filters
Papers (5)Insight
The gluon distribution function is determined from the proton structure function using a second-order linear differential equation, without needing individual quark distributions or the gluon evolution equation.
The gluon distribution function determines the proton structure function through a critical next-to-leading order study, comparing the longitudinal structure function FL with the proposed gluon distribution.
The polarized gluon distribution function is determined by measuring the longitudinal double-spin asymmetry of jet production and neutral pions, providing insights into the proton's spin structure.
The gluon distribution function, determined by DGLAP equations with corrections, influences proton structure functions, aiding in simulating high-energy scattering processes and shedding light on parton distribution origins.
The gluon distribution function, determined using DGLAP equations with corrections, influences proton structure functions, aiding in simulating high-energy scattering processes and understanding parton distributions.

Related Questions

How does the distribution of cosmic rays contribute to the overall understanding of the universe's structure and evolution?4 answersThe spatial distribution of cosmic ray (CR) particles in the interstellar medium (ISM) plays a crucial role in radio astronomy and theoretical astrophysics. Understanding the distribution of CRs helps interpret observations, contributes to the structure and dynamics of the ISM, and impacts the interpretation of synchrotron emission from astronomical objects. Incorporating observed and simulated CR sources in numerical simulations enhances the understanding of Galactic CR transport and diffuse gamma-ray emission, providing a more realistic picture of the Galactic gamma-ray sky. The anisotropy of CRs in the TeV to PeV energy range hints at complex factors influencing CR propagation, from source distribution to interstellar medium properties, offering insights into dark matter, interstellar plasma turbulence, and the heliosphere's effects. This comprehensive study of CR distribution contributes significantly to unraveling the universe's structure and evolution.
How quark distribution function determine proton structure function?5 answersThe determination of proton structure function through quark distribution functions involves various methodologies. The dressed quark scenario within the quark exchange model aids in extracting parton distribution functions and understanding the momentum carried by each parton inside the proton. Additionally, advancements in parton distribution functions are achieved through global datasets and machine learning techniques like NNPDF4.0, which incorporate NNLO QCD calculations and account for theoretical improvements such as positivity constraints and sum rule integrability. Furthermore, the dynamical parton model assumption, utilizing DGLAP equations with GLR-MQ-ZRS corrections, provides insights into proton parton distribution functions, especially highlighting the impact of flavor-asymmetric sea components on reproducing structure functions at high Q2 scales. Lattice-QCD calculations further contribute by directly calculating quark distributions and matching them to PDFs, enhancing our understanding of proton structure at the physical pion mass.
How does SU(5) grand unified theory predict proton decay?4 answersThe SU(5) Grand Unified Theory predicts proton decay by unifying quarks and leptons, leading to the violation of baryon (B) and lepton (L) numbers. Proton decay in SU(5) GUTs is primarily mediated by the X boson, introduced due to the extension of the gauge group from the Standard Model. Various proton decay modes, such as p → πe, are expected in these models, with the proton lifetime being proportional to the fourth power of the X boson mass. Different variations of SU(5) GUT models, like flipped SU(5) GUTs, explore scenarios where proton decay lifetimes are testable in experiments like Hyper-Kamiokande, offering insights into the unification of forces and particles within the GUT framework.
How big is proton?4 answersThe size of the proton has been a topic of debate in recent years. Traditional measurements using electron scattering and precision spectroscopy of hydrogen have provided a low precision estimate of the proton's charge radius. However, recent experiments using laser spectroscopy of muonic hydrogen, where a muon replaces the electron, have yielded a more precise value for the proton's charge radius. This new measurement differs significantly from the accepted value and has sparked discussions about the "proton size puzzle". Additionally, precise measurements of the 1S-2S transition in regular hydrogen have also contributed to improved values of the Rydberg constant. The discrepancy between measurements of regular hydrogen and muonic hydrogen has puzzled physicists, and efforts are underway to understand the sources of systematic errors and reconcile the different results.
SWOT analysis for Proton?4 answersA SWOT analysis for Proton can provide insights into its strengths, weaknesses, opportunities, and threats. The analysis can help identify areas where Proton excels, such as its innovative development strategies and its attention to contextual factors and cross-cultural issues. However, it may also reveal weaknesses, such as the scarcity of models that link individuals and their environment and the Western dominance in the extant literature on positive youth development. Opportunities for Proton may include extending current models of positive youth development in a cross-cultural context. On the other hand, threats could arise from the widespread use of intracytoplasmic sperm injection (ICSI) in patients without a formal diagnosis of male factor infertility, where evidence demonstrating its effectiveness is still lacking. By conducting a SWOT analysis, Proton can gain a comprehensive understanding of its internal and external factors, enabling it to make informed decisions and develop effective strategies for success.
What is the proton stopping power in DGBEA?5 answersThe proton stopping power in a compressed deuterium-tritium (DT) pellet mixed with heavy ion dopants is investigated. An increase in mixed-ion charge state and density ratio leads to a substantial enhancement of the proton stopping power, resulting in a shorter penetration distance and an earlier appearance of the Bragg peak. Additionally, the stopping power of antiprotons in solids is found to be much stronger than that of protons, and can even be stronger than the electronic stopping power at low energies. Experimental equipment has been developed to measure the stopping power of a proton beam in explosively driven plasma, with measured energy losses ranging from 100-300 keV. Ion beam-target interaction experiments show enhanced energy deposition for aluminium targets. The stopping power of antiprotons moving through a uniform zero-temperature electron gas has been calculated using kinetic theory, with good agreement with experimental predictions.

See what other people are reading

Laziness makes more inventions?
5 answers
Laziness can indeed lead to innovative solutions in various domains. In the context of secure multi-party computation, the concept of "honest but lazy" parties has driven the development of threshold multi-key fully homomorphic encryption schemes, enabling decryption with only a subset of partial decryptions, enhancing efficiency and security. Similarly, in motion planning algorithms, Lazy Shortest Path (LazySP) strategies optimize edge evaluations, showcasing asymptotically optimal performance in minimizing computational efforts. Moreover, the L4RW technique for synthesizing animations under perturbations leverages a lazy dynamic rebalance model to minimize locomotion effort, demonstrating significant speed improvements and creating more realistic animations. These instances highlight how incorporating laziness strategically can indeed foster creativity and lead to novel advancements in diverse fields.
What is the repeating pattern in algebra?
5 answers
Repeating patterns in algebra refer to structures where elements recur in a predictable manner. These patterns play a crucial role in developing algebraic habits of mind and advancing early algebraic concepts. They are essential for fostering relational thinking and enhancing mathematical reasoning. In the context of patterns, algebraic reasoning can be nurtured by exploring repeating patterns and their underlying structures, even without formal algebraic notation. Understanding and working with repeating patterns can serve as a bridge to developing functional thinking and laying the groundwork for more advanced algebraic concepts. While patterns are fundamental to mathematics, they are often not explicitly incorporated into formal mathematical representations, yet they play a significant role in conveying mathematical concepts and facilitating conceptual understanding.
What is the L/D ration should be maintained for pressure swing adsorption?
5 answers
The L/D ratio, represented by the aspect ratio L/Vbed, in pressure swing adsorption (PSA) should be smaller than 10. This ratio plays a crucial role in the efficient separation of components in a multicomponent raw material mixture. Additionally, the dimensionless cycle-compensated mass transfer coefficient, defined as KtfeedVads/Vfeed, should be maintained in the range of about 23 to 250 for optimal operation of a PSA apparatus. Furthermore, PSA processes benefit from low adsorption/desorption pressure ratios and specialized adsorbents that can selectively adsorb and release components like nitrogen at different pressure levels, enhancing the overall separation efficiency. These parameters collectively contribute to the effectiveness and performance of pressure swing adsorption systems.
What do u call to another term of appearance?
5 answers
Another term often used in relation to appearance is "phenomenon". In philosophy, particularly in the realm of phenomenology, the concept of appearance is deeply intertwined with the notion of phenomena. Phenomena refer to the way things manifest or show themselves, emphasizing the act of appearing itself rather than the specific objects that appear. This distinction highlights the essential difference between appearance and the entities that appear, focusing on the pure act of manifestation devoid of objectivity. The study of phenomena aims to uncover the fundamental laws governing how things appear, emphasizing the purity of appearance stripped of the characteristics of the appearing entities. Therefore, in philosophical discourse, "phenomenon" serves as another term to describe the act of appearing and the essence of manifestation.
What is the theoretical studies on K*(892), K*(1410) and K*(1680) meson?
5 answers
Theoretical studies have been conducted on various strange vector mesons, including K*(892), K*(1410), and K*(1680) mesons. These studies involve investigating their dynamics in relativistic heavy-ion collisions, considering in-medium effects, and analyzing their production mechanisms. The Parton-Hadron-String Dynamics (PHSD) transport approach has been utilized to incorporate partonic and hadronic degrees of freedom, phase transitions, and final hadronic interactions, shedding light on the production mechanisms of these mesons. Additionally, the role of the K*(1680) meson has been highlighted in reproducing experimental data, emphasizing its importance in understanding the dynamics of strange mesons in various collision scenarios. Furthermore, the study of charged particle yields for K*(892) mesons in proton-proton and lead-lead collisions has provided insights into the effects of the medium on these mesons.
What is a spin spectral weight of the magnetic atom?
4 answers
The spin spectral weight of a magnetic atom refers to the distribution of intensity or strength associated with the spin dynamics of the atom. In the context of high-temperature superconductors like YBa2Cu3O6.6, the magnetic fluctuation spectra reveal specific features such as resonances, with the 34 meV resonance being prominent in the superconducting state. Additionally, in one-dimensional Heisenberg antiferromagnets, the spectral weight is concentrated at specific spin wave frequencies, indicating the distribution of intensity across different energy states. Furthermore, in doped magnetic insulators, the spectral weight of charge carriers interacting with magnetic backgrounds can exhibit complex behaviors at finite temperatures, including thermal broadening effects and spectral weight transfers due to spin-polaron formations.
What are grains?
5 answers
Grains are seeds of plants belonging to various botanical groups like cereals, pseudocereals, and legumes, providing essential macronutrients such as carbohydrates, proteins, and lipids, along with micronutrients like vitamins and minerals. They are crucial in daily diets globally, used in popular foods like bread, pasta, and snacks. Cereal grains, a major dietary energy source, offer plant proteins and health-protecting components like dietary fiber and phytochemicals, promoting sustainable and healthy diets. Grains can be utilized for gluten-containing and gluten-free products, with pseudocereals gaining popularity due to the gluten-free trend. The transition from using grains for animal feed to human consumption and innovative food applications could enhance protein security and mitigate climate change.
What is the join of enriched categories?
5 answers
The join of enriched categories is a concept that can be understood within the framework of enriched category theory. Enriched categories, such as restriction categories and categories enriched over the unit interval, provide a structured way to study mappings and semantic information. By varying the enrichment base appropriately, notions like join and range restriction categories can be captured using enriched category theory. Additionally, in the context of complex algebraic varieties, the Grothendieck group of proper-smooth correspondences gives rise to enriched categories that extend theories of characteristic classes to handle different types of morphisms and structures. This demonstrates the versatility and applicability of enriched categories in various mathematical settings.
What are the negative consequences of having a sample size of about 60 for linear regression?
4 answers
Having a sample size of about 60 for linear regression can lead to unstable gene lists and poor prediction accuracy in discriminative models, as shown in a study on human skeletal muscle biopsies. Additionally, small sample sizes, like those around 60, can result in unreliable estimators in overparameterized linear regression, where the test risk may increase with additional samples due to an unconventional bias-variance tradeoff. Furthermore, small sample sizes, such as 60, are cautioned against in statistical inference due to the limitations they pose, especially in the presence of nonlinearity, where regressors cannot be treated as fixed, impacting the interpretation of slope parameters and introducing sampling variability in estimates.
What are the negative consequences of having a sample size of about 60 for linear regression in psychology?
4 answers
Having a sample size of about 60 in linear regression in psychology can lead to various negative consequences. Small sample sizes, as highlighted by the APA Task Force on Statistical Inference, can result in inadequate statistical power and increase the likelihood of overestimating effect sizes, making replication challenging. Additionally, small sample sizes can lead to biased results, especially when conducting model selection in generalized linear models, where the probability of finding significant effects increases even when all null hypotheses are true, potentially resulting in false positives and the "winner's curse" phenomenon. Furthermore, small sample sizes hinder the generalizability and reliability of findings, impacting the credibility and robustness of psychological research.
What is TMD?
5 answers
Temporomandibular Disorders (TMD) encompass a range of issues affecting the masticatory muscles, temporomandibular joint (TMJ), and surrounding structures. TMD presents with symptoms like facial pain, headaches, joint clicking, and jaw function difficulties, with severity assessed using various scales like Helkimo and DC/TMD. The diagnosis involves a detailed history and physical examination, categorizing TMD into articular and nonarticular disorders. Treatment options include nonsurgical and surgical modalities, with therapeutic interventions such as phonophoresis and TENS and ultrasound therapy being considered effective. Understanding TMD is crucial for clinicians, as it is a prevalent condition with multifactorial origins, impacting the quality of life of individuals experiencing these orofacial pain conditions.