Imaging the Thermal and Kinematic Sunyaev-Zel'dovich Effect Signals in a Sample of Ten Massive Galaxy Clusters: Constraints on Internal Velocity Structures and Bulk Velocities

We have imaged the Sunyaev-Zel'dovich (SZ) effect signals at 140 and 270 GHz towards ten galaxy clusters with Bolocam and AzTEC/ASTE. We also used Planck data to constrain the signal at large angular scales, Herschel-SPIRE images to subtract the brightest galaxies that comprise the cosmic infrared background (CIB), Chandra imaging to map the electron temperature $T_e$ of the intra-cluster medium (ICM), and HST imaging to derive models of each galaxy cluster's mass density. The galaxy clusters gravitationally lens the background CIB, which produced an on-average reduction in brightness towards the galaxy clusters' centers after the brightest galaxies were subtracted. We corrected for this deficit, which was between 5-25% of the 270 GHz SZ effect signal within $R_{2500}$. Using the SZ effect measurements, along with the X-ray constraint on $T_e$, we measured each galaxy cluster's average line of sight (LOS) velocity $v_z$ within $R_{2500}$, with a median per-cluster uncertainty of +-700 km/s. We found an ensemble-mean of 430+-210 km/s, and an intrinsic cluster-to-cluster scatter $\sigma_{int}$ of 470+-340 km/s. We also obtained maps of $v_z$ over each galaxy cluster's face with an angular resolution of 70". All four galaxy clusters previously identified as having a merger oriented along the LOS showed an excess variance in these maps at a significance of 2-4$\sigma$, indicating an internal $v_z$ rms of $\gtrsim$1000 km/s. None of the six galaxy clusters previously identified as relaxed or plane of sky mergers showed any such excess variance.Comment: Accepted for publication in Ap

Enterprise architecture framework oriented to cloud computing services

Cloud Computing (CC) is a computing infrastructure paradigm that provides elasticity to software or hardware solutions on organizations, and is more powerful than traditional architectures for storage, processing, and distribution of data. Meanwhile, Enterprise Architecture (EA) describes organization's structure and allows assurance its objectives. Recent studies face to integration of EA with CC convergence analysis between EA and CC is required to facilitate true integration in organization. This paper aims contribute to reduce the EA and CC gap. Analysis of importance and benefits of EA-CC integrated approach is presented, beside a proposed EA-CC framework that can be extended to corporate governance models. Phases, activities, artifacts and deliverables from framework are described.Cloud Computing (CC) es un paradigma de infraestructura informática que proporciona elasticidad a las soluciones de software o hardware en las organizaciones, y es más poderoso que las arquitecturas tradicionales para el almacenamiento, procesamiento y distribución de datos. Mientras tanto, Enterprise Architecture (EA) describe la estructura de la organización y permite garantizar sus objetivos. Se requieren estudios recientes para la integración de EA con el análisis de convergencia de CC entre EA y CC para facilitar la verdadera integración en la organización. El objetivo de este trabajo es contribuir a reducir la brecha entre EA y CC. Se presenta un análisis de la importancia y los beneficios del enfoque integrado de EA-CC, junto con el marco propuesto de EA-CC que puede extenderse a los modelos de gobierno corporativo. Se describen las fases, actividades, artefactos y entregables del marco

Next-generation forward genetic screens: using simulated data to improve the design of mapping-by-sequencing experiments in Arabidopsis

Forward genetic screens have successfully identified many genes and continue to be powerful tools for dissecting biological processes in Arabidopsis and other model species. Next-generation sequencing technologies have revolutionized the time-consuming process of identifying the mutations that cause a phenotype of interest. However, due to the cost of such mapping-by-sequencing experiments, special attention should be paid to experimental design and technical decisions so that the read data allows to map the desired mutation. Here, we simulated different mapping-by-sequencing scenarios. We first evaluated which short-read technology was best suited for analyzing gene-rich genomic regions in Arabidopsis and determined the minimum sequencing depth required to confidently call single nucleotide variants. We also designed ways to discriminate mutagenesis-induced mutations from background Single Nucleotide Polymorphisms in mutants isolated in Arabidopsis non-reference lines. In addition, we simulated bulked segregant mapping populations for identifying point mutations and monitored how the size of the mapping population and the sequencing depth affect mapping precision. Finally, we provide the computational basis of a protocol that we already used to map T-DNA insertions with paired-end Illumina-like reads, using very low sequencing depths and pooling several mutants together; this approach can also be used with single-end reads as well as to map any other insertional mutagen. All these simulations proved useful for designing experiments that allowed us to map several mutations in Arabidopsis

Estudio preliminar de IoT aplicado a smart campus para registro de documentos académicos por medio del desarrollo de un prototipo utilizando Beacons

En el presente documento se observará el funcionamiento y creación de un prototipo con el uso de Beacons para la visualización de documentos académicos, y comunicados que manejan los profesores, esto con el propósito de obtener un medio de comunicación acorde a las facilidades del uso de herramientas IoT para el funcionamiento óptimo de un Smart Campus, teniendo en cuenta el uso de una aplicación creada en Android Studio.In this document the operation and creation of a prototype will be observed with the use of Beacons for the visualization of academic documents, and communications that the teachers handle, this with the purpose of obtaining a means of communication according to the facilities of the use of tools IoT for the optimal operation of a Smart Campus, taking into account the use of an application created in Android Studio

Regresión Lineal para la Identificación del Punto de Máxima Potencia en Microrredes Híbridas Implementado en HYPERSIM

El presente trabajo se enfoca en la optimización del seguimiento de máxima potencia (MPPT) en sistemas fotovoltaicos mediante el empleo de un enfoque basado en regresión lineal. El objetivo principal consiste en desarrollar un algoritmo de MPPT que utilice técnicas de regresión lineal para mejorar la precisión en la identificación y seguimiento del punto de máxima potencia. El algoritmo propuesto se desarrolla en el software MATLAB/Simulink, validándose a través de pruebas experimentales. Posteriormente, se amplía la aplicación del algoritmo a una red eléctrica modelada y simulada en el entorno de la herramienta HYPERSIM, este software permitirá abordar de manera más detallada y precisa la dinámica instantánea de las variables eléctricas y de control en sistemas complejos, mediante la variación de variables como temperatura e irradiación. La contribución innovadora de este trabajo no solo se circunscribe a la mejora de los algoritmos de MPPT, sino que también aborda de manera integral la integración de energías renovables en sistemas eléctricos. La eficacia del algoritmo basado en regresión lineal representa un avance crucial para maximizar la eficiencia y respuesta del control en sistemas fotovoltaicos. La optimización de la conversión de energía solar en electricidad utilizable no solo eleva la rentabilidad y sostenibilidad de estos sistemas, sino que también destaca el papel fundamental que desempeñan en la transición hacia un suministro eléctrico más sostenible

Identificar las dificultades y demandas que tienen los estudiantes con diversidad en el acceso a primer curso de los estudios de UCM

Analizar las dificultades que tienen los alumnos de primero de grado mediante grupos de discusión y entrevistas

Creativity identity in Colombia : the advertising creatives' perspective

This exploratory paper analyzes the way in which context influences advertising creativity practices. To establish the role of context this paper utilized both Social Identity theory and Systems Model of Creativity. Twenty four in-depth interviews with top Creative Directors of the main advertising agencies in Colombia (Latin America) were performed to discover if there is a country Creative Identity. Data suggests there is an identity of sorts but this is still under construction. However, some facets of a Colombian creative identity and the way in which Directors' perceive differences in creativity identity also emerged. A key contribution of the paper is to establish the influence of the broader Colombian social context on shaping the overarching creative identity including the unique business characteristics in the Colombian communications industry. These findings extend the Systems Model of Creativity to include social hardships (e.g., within the socio economic environment), and also incorporate industry level characteristics (e.g., a vast number of conservative and risk adverse clients). These factors contribute to a developing identity. These results when reflected on against the Systems Model of Creativity highlight several practical implications not only in relation to Colombia, but also the broader global advertising industry

Distinguishing between wet and dry atmospheres of TRAPPIST-1 e and f

The nearby TRAPPIST-1 planetary system is an exciting target for characterizing the atmospheres of terrestrial planets. The planets e, f and g lie in the circumstellar habitable zone and could sustain liquid water on their surfaces. During the extended pre-main sequence phase of TRAPPIST-1, however, the planets may have experienced extreme water loss, leading to a desiccated mantle. The presence or absence of an ocean is challenging to determine with current and next generation telescopes. Therefore, we investigate whether indirect evidence of an ocean and/or a biosphere can be inferred from observations of the planetary atmosphere. We introduce a newly developed photochemical model for planetary atmospheres, coupled to a radiative-convective model and validate it against modern Earth, Venus and Mars. The coupled model is applied to the TRAPPIST-1 planets e and f, assuming different surface conditions and varying amounts of CO$_2$ in the atmosphere. As input for the model we use a constructed spectrum of TRAPPIST-1, based on near-simultaneous data from X-ray to optical wavelengths. We compute cloud-free transmission spectra of the planetary atmospheres and determine the detectability of molecular features using the Extremely Large Telescope (ELT) and the James Webb Space Telescope (JWST). We find that under certain conditions, the existence or non-existence of a biosphere and/or an ocean can be inferred by combining 30 transit observations with ELT and JWST within the K-band. A non-detection of CO could suggest the existence of an ocean, whereas significant CH$_4$ hints at the presence of a biosphere.Comment: 37 pages, 18 figures, accepted for publication in Ap

ICM-SHOX. Paper I: Methodology overview and discovery of a baryon--dark matter velocity decoupling in the MACS J0018.5+1626 merger

Galaxy cluster mergers are rich sources of information to test cluster astrophysics and cosmology. However, cluster mergers produce complex projected signals that are difficult to interpret physically from individual observational probes. Multi-probe constraints on both the baryonic and dark matter cluster components are necessary to infer merger parameters that are otherwise degenerate. We present ICM-SHOX (Improved Constraints on Mergers with SZ, Hydrodynamical simulations, Optical, and X-ray), a systematic framework to jointly infer multiple merger parameters quantitatively via a pipeline that directly compares a novel combination of multi-probe observables to mock observables derived from hydrodynamical simulations. We report on a first application of the ICM-SHOX pipeline to the MACS J0018.5+1626 system, wherein we systematically examine simulated snapshots characterized by a wide range of initial parameters to constrain the MACS J0018.5+1626 merger parameters. We strongly constrain the observed epoch of MACS J0018.5+1626 to within $\approx -10$--$50$ Myr of the pericenter passage, and the observed viewing angle is inclined $\approx 25$--$38$ degrees from the merger axis. We obtain less precise constraints for the impact parameter ($\approx 100$--250 kpc), the mass ratio ($\approx 1.5$--$3.0$), and the initial relative velocity when the cluster components are separated by 3 Mpc ($\approx 1700$--3000 km s$^{-1}$). The primary and secondary cluster components initially (at 3 Mpc) have gas distributions that are moderately and strongly disturbed, respectively. We further discover a velocity space decoupling of the dark matter and baryonic distributions in MACS J0018.5+1626, which we attribute to the different collisional natures of the two distributions.Comment: 25 pages, 13 figures; submitted to Ap