102 research outputs found
Multiplicity Structure of the Hadronic Final State in Diffractive Deep-Inelastic Scattering at HERA
The multiplicity structure of the hadronic system X produced in
deep-inelastic processes at HERA of the type ep -> eXY, where Y is a hadronic
system with mass M_Y< 1.6 GeV and where the squared momentum transfer at the pY
vertex, t, is limited to |t|<1 GeV^2, is studied as a function of the invariant
mass M_X of the system X. Results are presented on multiplicity distributions
and multiplicity moments, rapidity spectra and forward-backward correlations in
the centre-of-mass system of X. The data are compared to results in e+e-
annihilation, fixed-target lepton-nucleon collisions, hadro-produced
diffractive final states and to non-diffractive hadron-hadron collisions. The
comparison suggests a production mechanism of virtual photon dissociation which
involves a mixture of partonic states and a significant gluon content. The data
are well described by a model, based on a QCD-Regge analysis of the diffractive
structure function, which assumes a large hard gluonic component of the
colourless exchange at low Q^2. A model with soft colour interactions is also
successful.Comment: 22 pages, 4 figures, submitted to Eur. Phys. J., error in first
submission - omitted bibliograph
Jets and energy flow in photon-proton collisions at HERA
Properties of the hadronic final state in photoproduction events with large transverse energy are studied at the electron-proton collider HERA. Distributions of the transverse energy, jets and underlying event energy are compared to \overline{p}p data and QCD calculations. The comparisons show that the \gamma p events can be consistently described by QCD models including -- in addition to the primary hard scattering process -- interactions between the two beam remnants. The differential jet cross sections d\sigma/dE_T^{jet} and d\sigma/d\eta^{jet} are measured
Разработка интерактивной моделирующей системы технологии низкотемпературной сепарации газа
We present a study of J ψ meson production in collisions of 26.7 GeV electrons with 820 GeV protons, performed with the H1-detector at the HERA collider at DESY. The J ψ mesons are detected via their leptonic decays both to electrons and muons. Requiring exactly two particles in the detector, a cross section of σ(ep → J ψ X) = (8.8±2.0±2.2) nb is determined for 30 GeV ≤ W γp ≤ 180 GeV and Q 2 ≲ 4 GeV 2 . Using the flux of quasi-real photons with Q 2 ≲ 4 GeV 2 , a total production cross section of σ ( γp → J / ψX ) = (56±13±14) nb is derived at an average W γp =90 GeV. The distribution of the squared momentum transfer t from the proton to the J ψ can be fitted using an exponential exp(− b ∥ t ∥) below a ∥ t ∥ of 0.75 GeV 2 yielding a slope parameter of b = (4.7±1.9) GeV −2
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Schlussbericht des Verbundes
Das Forschungsprojekt „Ausbau von Ladeinfrastruktur durch gezielte Netzunterstützung (ALigN)“ wurde vom 01.09.20218 bis 31.12.2023 durchgeführt im Rahmen des Sofortprogramms Saubere Luft 2017 bis 2020. Die übergeordnete Motivation für das Projekt im Sinn des Sofortprogramms ist die Reduzierung von NOX- und CO2-Belastung im Stadtgebiet Aachen.
Ausgangspunkt des Forschungsprojekt ALigN war die Hypothese, dass für den Hochlauf von Elektromobilität nicht nur eine zu geringe Anzahl an Ladepunkten ein Hindernis darstellt, sondern gleichzeitig eine hohe Ladepunktkonzentration im Bereich von Hotspots zu Herausforderungen bezüglich Netzauslastung und -stabilität führt.
Das Ziel des Verbundprojekts war daher, einen massiven, bedarfsgerechten Auf- und Ausbau von Ladeinfrastruktur bei gleichzeitiger Implementierung eines intelligenten Lastmanagements voranzutreiben.
Ein weiterer Schwerpunkt des Projektes war die Erforschung von technischen, ökonomischen und kommunikativen Konzepten zum nachhaltigen Ausbau von Ladeinfrastruktur. Der technische Fokus liegt auf dem Abbau von Netzhemmnissen, insbesondere im Bereich von Hotspots. Erforscht und z. T. erprobt werden eine übergeordnetes Netz- und Energiemanagement, der Einsatz eines Batteriespeichers und ein Solid-State-Transformator (SST). Aus ökonomischer Sicht werden Geschäfts- und Angebotsmodelle untersucht und erprobt. Die Entwicklung kommunikativer Konzepte beinhaltete die Identifizierung von Akteuren, ihren Rollen und Bedarfen in Bezug auf den Ladeinfrastrukturausbau, akzeptanzfördernde und -hemmende Aspekte sowie für die Erhebung von Anforderungen an die Gestaltung akteurs- und rollenspezifischer Kommunikations- und Entscheidungswege.
Datei-Upload durch TIBThe research project "Ausbau von Ladeinfrastruktur durch gezielte Netzunterstützung (ALigN)" was carried out from 01.09.20218 to 31.12.2023 as part of the “Sofortprogramm Saubere Luft 2017 bis 2020“. The motivation for the project is the reduction of NOX and CO2 pollution in the Aachen urban area.
The ALigN research project was initiated based on the hypothesis that the bottleneck to the widespread adoption of electromobility is not just the insufficient number of charging points, but also the high concentration of charging infrastructure in hotspot areas, posing challenges to network utilization and stability.
Hence, the primary objective of this collaborative project was to drive a substantial, demand-driven development and expansion of charging infrastructure while concurrently implementing intelligent load management solutions.
Furthermore, the project aimed to explore technical, economic, and communicative strategies for the sustainable growth of charging infrastructure. On the technical front, the focus lies in mitigating network obstacles, particularly in hotspot regions, through the exploration and, in some cases, testing of higher-level grid and energy management systems, as well as the utilization of battery storage systems and solid-state transformers (SST).
From an economic standpoint, the project delved into examining and piloting various business and supply models.
In terms of communicative strategies, efforts were directed towards identifying stakeholders, understanding their roles and needs concerning charging infrastructure expansion, recognizing factors that influence or hinder acceptance, and pinpointing requirements for designing tailored communication and decision-making channels for different stakeholders and roles
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Research and Design of a Routing Protocol in Large-Scale Wireless Sensor Networks
无线传感器网络,作为全球未来十大技术之一,集成了传感器技术、嵌入式计算技术、分布式信息处理和自组织网技术,可实时感知、采集、处理、传输网络分布区域内的各种信息数据,在军事国防、生物医疗、环境监测、抢险救灾、防恐反恐、危险区域远程控制等领域具有十分广阔的应用前景。 本文研究分析了无线传感器网络的已有路由协议,并针对大规模的无线传感器网络设计了一种树状路由协议,它根据节点地址信息来形成路由,从而简化了复杂繁冗的路由表查找和维护,节省了不必要的开销,提高了路由效率,实现了快速有效的数据传输。 为支持此路由协议本文提出了一种自适应动态地址分配算——ADAR(AdaptiveDynamicAddre...As one of the ten high technologies in the future, wireless sensor network, which is the integration of micro-sensors, embedded computing, modern network and Ad Hoc technologies, can apperceive, collect, process and transmit various information data within the region. It can be used in military defense, biomedical, environmental monitoring, disaster relief, counter-terrorism, remote control of haz...学位:工学硕士院系专业:信息科学与技术学院通信工程系_通信与信息系统学号:2332007115216
Towards reliable self-integrative IT systems
IT components with information processing and communication capabilities are embedded in almost all commonplace and industrial objects. In our daily life we depend more and more on these IT components. On the other hand, users will increasingly expect that those IT components collaborate autonomously and thus provide emergent properties
Integrating Sensor Nodes into a Middleware for Ambient Intelligence
The development of infrastructures enabling dynamic and automated composition of IT systems is a big challenge. This paper addresses a new idea of allowing component-based systems to reconfigure themselves. Therefore, the authors propose DAiSI - a Dynamic Adaptive System Infrastructure for dynamic integration of components as well as their reconfiguration during runtime. Thereby, one of the features of the infrastructure is that it is capable of binding components based on their availability. In this paper the authors concentrate on presenting how resource constrained sensor nodes can be integrated into a system using this infrastructure.</jats:p
Integrating Sensor Nodes into a Middleware for Ambient Intelligence
The development of infrastructures enabling dynamic and automated composition of IT systems is a big challenge. This paper addresses a new idea of allowing component-based systems to reconfigure themselves. Therefore, the authors propose DAiSI - a Dynamic Adaptive System Infrastructure for dynamic integration of components as well as their reconfiguration during runtime. Thereby, one of the features of the infrastructure is that it is capable of binding components based on their availability. In this paper the authors concentrate on presenting how resource constrained sensor nodes can be integrated into a system using this infrastructure.</p
Guaranteeing correctness of component bindings in dynamic adaptive systems based on runtime testing
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