Far-infrared constraints on the contamination by dust-obscured galaxies of high-z dropout searches

The spectral energy distributions (SED) of dusty galaxies at intermediate redshift may look similar to very high-redshift galaxies in the optical/near infrared (NIR) domain. This can lead to the contamination of high-redshift galaxy searches based on broad-band optical/NIR photometry by lower redshift dusty galaxies because both kind of galaxies cannot be distinguished. The contamination rate could be as high as 50%. This work shows how the far-infrared (FIR) domain can help to recognize likely low-z interlopers in an optical/NIR search for high-z galaxies. We analyze the FIR SEDs of two galaxies that are proposed to be very high-redshift (z > 7) dropout candidates based on deep Hawk-I/VLT observations. The FIR SEDs are sampled with PACS/Herschel at 100 and 160 μm, with SPIRE/Herschel at 250, 350 and 500 μm and with LABOCA/APEX at 870 μm. We find that redshifts > 7 would imply extreme FIR SEDs (with dust temperatures >100 K and FIR luminosities >10^13 L_⊙). At z ~ 2, instead, the SEDs of both sources would be compatible with those of typical ultra luminous infrared galaxies or submillimeter galaxies. Considering all available data for these sources from visible to FIR we re-estimate the redshifts and find z ~ 1.6–2.5. Owing to the strong spectral breaks observed in these galaxies, standard templates from the literature fail to reproduce the visible-to-near-IR part of the SEDs even when additional extinction is included. These sources strongly resemble dust-obscured galaxies selected in Spitzer observations with extreme visible-to-FIR colors, and the galaxy GN10 at z = 4. Galaxies with similar SEDs could contaminate other high-redshift surveys.

The Herschel Lensing Survey (HLS): Overview

The Herschel Lensing Survey (HLS) will conduct deep PACS and SPIRE imaging of ~40 massive clusters of galaxies. The strong gravitational lensing power of these clusters will enable us to penetrate through the confusion noise, which sets the ultimate limit on our ability to probe the Universe with Herschel. Here we present an overview of our survey and a summary of the major results from our science demonstration phase (SDP) observations of the Bullet cluster (z = 0.297). The SDP data are rich and allow us to study not only the background high-redshift galaxies (e. g., strongly lensed and distorted galaxies at z = 2.8 and 3.2) but also the properties of cluster-member galaxies. Our preliminary analysis shows a great diversity of far-infrared/submillimeter spectral energy distributions (SEDs), indicating that we have much to learn with Herschel about the properties of galaxy SEDs. We have also detected the Sunyaev-Zel'dovich (SZ) effect increment with the SPIRE data. The success of this SDP program demonstrates the great potential of the Herschel Lensing Survey to produce exciting results in a variety of science areas.

Improving the identification of high-z Herschel sources with position priors and optical/NIR and FIR/mm photometric redshifts

We present preliminary results about the detection of high redshift (U)LIRGs in the Bullet cluster field by the PACS and SPIRE instruments within the Herschel Lensing Survey (HLS) Program. We describe in detail a photometric procedure designed to recover robust fluxes and deblend faint Herschel sources near the confusion noise. The method is based on the use of the positions of Spitzer/MIPS 24 μm sources as priors. Our catalogs are able to reliably (5σ) recover galaxies with fluxes above 6 and 10 mJy in the PACS 100 and 160 μm channels, respectively, and 12 to 18 mJy in the SPIRE bands. We also obtain spectral energy distributions covering the optical through the far-infrared/millimeter spectral ranges of all the Herschel detected sources, and analyze them to obtain independent estimations of the photometric redshift based on either stellar population or dust emission models. We exemplify the potential of the combined use of Spitzer position priors plus independent optical and IR photometric redshifts to robustly assign optical/NIR counterparts to the sources detected by Herschel and other (sub-)mm instruments.

Integrating Scientific Publication into an Applied Gaming Ecosystem

Salman, M. et al. (2016). Integrating Scientific Publication into an Applied Gaming Ecosystem. GSTF Journal on Computing (JoC), Volume 5 (Issue 1), pp. 45-51.

Organisation und Management von Weiterbildung und Lebenslangem Lernen an Hochschulen

Im Bund-Länder-Wettbewerb Aufstieg durch Bildung: offene Hochschulen fokussiert das Teilprojekt Organisation und Management der Universität Oldenburg Erfolgsfaktoren und Hemmnisse zur nachhaltigen Implementierung von Weiterbildung und Lebenslangem Lernen an Hochschulen. Im Spannungsfeld von Kulturen, Strukturen, Strategien und Interessen sowie den sehr spezifischen Governance- und Steuerungsstrukturen von Hochschulen stehen die geförderten Vorhaben vor besonderen Anforderungen, die mit klassischen Instrumenten des Projektmanagements allein kaum zu bewältigen sind. Die bei der Planung, Entwicklung und organisatorischen Verankerung von weiterbildenden Studienangeboten gewählten Lösungsansätze werden aufgezeigt und theoriegeleitet analysiert. Zudem unterstreichen Fallberichte ausgewählter Projekte die mit der nachhaltigen Implementierung von Weiterbildung und Lebenslangem Lernen an Hochschulen verbundenen Herausforderungen und zeigen mögliche Herangehensweisen auf.

Informelles Lernen Studierender mit Social Software unterstützen

E-Learning-Aktivitäten von Hochschulen haben häufig eine einseitige Ausrichtung auf die Unterstützung von Lehrveranstaltungen durch Technologien, insbesondere Lernmanagementsysteme. Dabei geraten die Studierenden als Zielgruppe nur mittelbar in den Blick. Diese Beobachtung nehmen die Autorinnen und Autoren des Bandes zum Anlass, das Lern-Erleben und die unterschiedlichen Phasen des Studiums aus Perspektive der Studierenden zu betrachten. Untersucht wird zudem, welche Unterstützungsangebote Hochschulen in welchen Phasen idealerweise bereitstellen. Die Autorinnen und Autoren formulieren detailliert, wie Hochschulen das studentische Lernen mit Hilfe von Social Software unterstützen können. Diese Empfehlungen basieren auf den Ergebnissen empirischer Untersuchungen sowie auf Fallstudien nationaler und internationaler Beispiele guter Praxis, die ausführlich präsentiert werden. Mit diesem Band möchten die Autorinnen und Autoren denjenigen, die in Bildungseinrichtungen des tertiären Sektors (aber auch in anderen Sektoren) tätig sind, konkrete Anregungen liefern, Unterstützungsangebote für das informelle Lernen von Studierenden mit Social Software stärker in den Blick zu nehmen und geeignete Angebote zu entwickeln. Die Publikation basiert auf Ergebnissen des Projekts „Learner Communities of Practice“, das zwischen 2009 und 2012 als Verbundprojekt sächsischer Hochschulen mit Förderung durch das SMWK unter Leitung des Medienzentrums der TU Dresden bearbeitet wurde.

Emergence and Innovation in Digital Learning: Foundations and Applications

Educational systems worldwide are facing an enormous shift as a result of sociocultural, political, economic, and technological changes. The technologies and practices that have developed over the last decade have been heralded as opportunities to transform both online and traditional education systems. While proponents of these new ideas often postulate that they have the potential to address the educational problems facing both students and institutions and that they could provide an opportunity to rethink the ways that education is organized and enacted, there is little evidence of emerging technologies and practices in use in online education. Because researchers and practitioners interested in these possibilities often reside in various disciplines and academic departments the sharing and dissemination of their work across often rigid boundaries is a formidable task. Contributors to Emergence and Innovation in Digital Learning include individuals who are shaping the future of online learning with their innovative applications and investigations on the impact of issues such as openness, analytics, MOOCs, and social media. Building on work first published in Emerging Technologies in Distance Education, the contributors to this collection harness the dispersed knowledge in online education to provide a one-stop locale for work on emergent approaches in the field. Their conclusions will influence the adoption and success of these approaches to education and will enable researchers and practitioners to conceptualize, critique, and enhance their understanding of the foundations and applications of new technologies.

Context-aware framework for collaborative applications

Future pervasive environments will take into consideration not only individual user’s interest, but also social relationships. In this way, pervasive communities can lead the user to participate beyond traditional pervasive spaces, enabling the cooperation among groups and taking into account not only individual interests, but also the collective and social context. Social applications in CSCW (Computer Supported Cooperative Work) field represent new challenges and possibilities in terms of use of social context information for adaptability in pervasive environments. In particular, the research describes the approach in the design and development of a context.aware framework for collaborative applications (CAFCA), utilizing user’s context social information for proactive adaptations in pervasive environments. In order to validate the proposed framework an evaluation was conducted with a group of users based on enterprise scenario. The analysis enabled to verify the impact of the framework in terms of functionality and efficiency in real-world conditions. The main contribution of this thesis was to provide a context-aware framework to support collaborative applications in pervasive environments. The research focused on providing an innovative socio-technical approach to exploit collaboration in pervasive communities. Finally, the main results reside in social matching capabilities for session formation, communication and coordinations of groupware for collaborative activities.

Federated architecture for biomedical data integration

The last decades have been characterized by a continuous adoption of IT solutions in the healthcare sector, which resulted in the proliferation of tremendous amounts of data over heterogeneous systems. Distinct data types are currently generated, manipulated, and stored, in the several institutions where patients are treated. The data sharing and an integrated access to this information will allow extracting relevant knowledge that can lead to better diagnostics and treatments. This thesis proposes new integration models for gathering information and extracting knowledge from multiple and heterogeneous biomedical sources. The scenario complexity led us to split the integration problem according to the data type and to the usage specificity. The first contribution is a cloud-based architecture for exchanging medical imaging services. It offers a simplified registration mechanism for providers and services, promotes remote data access, and facilitates the integration of distributed data sources. Moreover, it is compliant with international standards, ensuring the platform interoperability with current medical imaging devices. The second proposal is a sensor-based architecture for integration of electronic health records. It follows a federated integration model and aims to provide a scalable solution to search and retrieve data from multiple information systems. The last contribution is an open architecture for gathering patient-level data from disperse and heterogeneous databases. All the proposed solutions were deployed and validated in real world use cases.

A functional specification and validation model for networks on chip in the ACL2 logic

International audience

From Hardware Processes to asynchronous circuits via petri nets: An Application to Arbiter Design

International audience

Asynchronus design for improved EMC behavior of ICs

International audience

An 8x8 thermopile based uncooled infrared sensor

International audience

Optimisation of digitally coded test vectors for mixed-signal components

International audience