Space telescope phase B definition study. Volume 2A: Science instruments, f24 field camera

The analysis and design of the F/24 field camera for the space telescope are discussed. The camera was designed for application to the radial bay of the optical telescope assembly and has an on axis field of view of 3 arc-minutes by 3 arc-minutes

The ALICE alignement framework

The ALICE alignment framework is described. Based on the ROOT geometry package, it provides the functionality to consistently produce, store, retrieve, and apply the alignment constants

Image-charge induced localization of molecular orbitals at metal-molecule interfaces: Self-consistent GW calculations

Quasiparticle (QP) wave functions, also known as Dyson orbitals, extend the concept of single-particle states to interacting electron systems. Here we employ many-body perturbation theory in the GW approximation to calculate the QP wave functions for a semi-empirical model describing a $\pi$-conjugated molecular wire in contact with a metal surface. We find that image charge effects pull the frontier molecular orbitals toward the metal surface while orbitals with higher or lower energy are pushed away. This affects both the size of the energetic image charge shifts and the coupling of the individual orbitals to the metal substrate. Full diagonalization of the QP equation and, to some extent, self-consistency in the GW self-energy, is important to describe the effect which is not captured by standard density functional theory or Hartree-Fock. These results should be important for the understanding and theoretical modeling of electron transport across metal-molecule interfaces.Comment: 7 pages, 6 figure

Local Density of States and Angle-Resolved Photoemission Spectral Function of an Inhomogeneous D-wave Superconductor

Nanoscale inhomogeneity seems to be a central feature of the d-wave superconductivity in the cuprates. Such a feature can strongly affect the local density of states (LDOS) and the spectral weight functions. Within the Bogoliubov-de Gennes formalism we examine various inhomogeneous configurations of the superconducting order parameter to see which ones better agree with the experimental data. Nanoscale large amplitude oscillations in the order parameter seem to fit the LDOS data for the underdoped cuprates. The one-particle spectral function for a general inhomogeneous configuration exhibits a coherent peak in the nodal direction. In contrast, the spectral function in the antinodal region is easily rendered incoherent by the inhomogeneity. This throws new light on the dichotomy between the nodal and antinodal quasiparticles in the underdoped cuprates.Comment: 5 pages, 9 pictures. Phys. Rev. B (in press

Performance of P-P and P-U intensity probes using Scan & Paint

This paper aims to clarify the principal advantages and disadvantages of using sound intensity probes which implement different measurement principles: p-p probes versus p-u probes or Microflowns. A novel measurement technique based on scanning principles called “Scan & Paint” had been chosen to evaluate their performanc

Tadpole morphology of <i>Leptodactylus plaumanni</i> (Anura: Leptodactylidae), with comments on the phylogenetic significance of larval characters in <i>Leptodactylus</i>

In this paper I summarize the morphology of the Leptodactylus plaumanni tadpoles, describing the external morphology, buccal cavity, and cranial skeleton and associated muscles. A distinctive combination of traits include the truncated snout in dorsal view, dorsal fin originated anterior to the body-tail junction, submarginal papillae present in some specimens, two slight indentations in the lower lip, ceratobranchial III free from the hypobranchial plate, small ventrolateral projections of the corpus of the suprarostral cartilage, m. subarcualis rectus I with three heads, and m. subarcualis rectus II-IV inserting in ceratobranchial I and connective tissue between branchial processes II and III. The buccal cavity shares the typical features in species of the group, namely four lingual papillae, two pairs of infralabial papillae, two postnarial papillae, and one pair of not branched lateral ridge papillae. Attending to the increasing role of larval characters in phylogenetic analyses, further research is needed to understand the evolution of tadpole morphology in this genus.En este trabajo resumo la morfología larval de Leptodactylus plaumanni, describiendo su morfología externa, cavidad bucal, esqueleto craneal y músculos asociados. Una combinación distintiva de caracteres incluye el rostro truncado en vista dorsal, aleta dorsal originada anterior a la unión cuerpo-cola, papilas submarginales en algunos especímenes, dos pequeñas escotaduras en el labio inferior, ceratobranchial III no fusionado al hipobranquial, pequeños procesos en el cuerpo y alas del suprarostral, m. subarcualis rectus I con tres haces, y m. subarcualis rectus II-IV inserto en el ceratobranquial I y en tejido conectivo entre los procesos branquiales II y III. La cavidad bucal comparte los rasgos típicos de las especies del grupo, por ejemplo las cuatro papilas linguales, dos pares de papilas infralabiales, dos papilas postnariales, y un par de papilas laterales no ramificadas. Atendiendo al creciente rol de los caracteres larvales en análisis filogenéticos, investigaciones adicionales son necesarias para interpretar la evolución de la morfología larval en este género.Facultad de Ciencias Naturales y Muse

Efficient quantum transport simulation for bulk graphene heterojunctions

The quantum transport formalism based on tight-binding models is known to be powerful in dealing with a wide range of open physical systems subject to external driving forces but is, at the same time, limited by the memory requirement's increasing with the number of atomic sites in the scattering region. Here we demonstrate how to achieve an accurate simulation of quantum transport feasible for experimentally sized bulk graphene heterojunctions at a strongly reduced computational cost. Without free tuning parameters, we show excellent agreement with a recent experiment on Klein backscattering [A. F. Young and P. Kim, Nature Phys. 5, 222 (2009)].Comment: 5 pages, 3 figure

Correlated Nanoscopic Josephson Junctions

We discuss correlated lattice models with a time-dependent potential across a barrier and show how to implement a Josephson-junction-like behavior. The pairing occurs by a correlation effect enhanced by the symmetry of the system. In order to produce the effect we need a mild distortion which causes avoided crossings in the many-body spectrum. The Josephson-like response involves a quasi-adiabatic evolution in the time-dependent field. Besides, we observe an inverse-Josephson (Shapiro) current by applying an AC bias; a supercurrent in the absence of electromotive force can also be excited. The qualitative arguments are supported by explicit exact solutions in prototype 5-atom clusters with on-site repulsion. These basic units are then combined in ring-shaped systems, where one of the units sits at a higher potential and works as a barrier. In this case the solution is found by mapping the low-energy Hamiltonian into an effective anisotropic Heisenberg chain. Once again, we present evidence for a superconducting flux quantization, i.e. a Josephson-junction-like behavior suggesting the build-up of an effective order parameter already in few-electron systems. Some general implications for the quantum theory of transport are also briefly discussed, stressing the nontrivial occurrence of asymptotic current oscillations for long times in the presence of bound states.Comment: 12 pages, 2 figures, to appear in J. Phys. - Cond. Ma

Defending OC-SVM based IDS from poisoning attacks

Machine learning techniques are widely used to detect intrusions in the cyber security field. However, most machine learning models are vulnerable to poisoning attacks, in which malicious samples are injected into the training dataset to manipulate the classifier's performance. In this paper, we first evaluate the accuracy degradation of OC-SVM classifiers with 3 different poisoning strategies with the ADLA-FD public dataset and a real world dataset. Secondly, we propose a saniti-zation mechanism based on the DBSCAN clustering algorithm. In addition, we investigate the influences of different distance metrics and different dimensionality reduction techniques and evaluate the sensitivity of the DBSCAN parameters. The ex-perimental results show that the poisoning attacks can degrade the performance of the OC-SVM classifier to a large degree, with an accuracy equal to 0.5 in most settings. The proposed sanitization method can filter out poisoned samples effectively for both datasets. The accuracy after sanitization is very close or even higher to the original value.</p