Adaptive Management of Multimodel Data and Heterogeneous Workloads

Data management systems are facing a growing demand for a tighter integration of heterogeneous data from different applications and sources for both operational and analytical purposes in real-time. However, the vast diversification of the data management landscape has led to a situation where there is a trade-off between high operational performance and a tight integration of data. The difference between the growth of data volume and the growth of computational power demands a new approach for managing multimodel data and handling heterogeneous workloads. With PolyDBMS we present a novel class of database management systems, bridging the gap between multimodel database and polystore systems. This new kind of database system combines the operational capabilities of traditional database systems with the flexibility of polystore systems. This includes support for data modifications, transactions, and schema changes at runtime. With native support for multiple data models and query languages, a PolyDBMS presents a holistic solution for the management of heterogeneous data. This does not only enable a tight integration of data across different applications, it also allows a more efficient usage of resources. By leveraging and combining highly optimized database systems as storage and execution engines, this novel class of database system takes advantage of decades of database systems research and development. In this thesis, we present the conceptual foundations and models for building a PolyDBMS. This includes a holistic model for maintaining and querying multiple data models in one logical schema that enables cross-model queries. With the PolyAlgebra, we present a solution for representing queries based on one or multiple data models while preserving their semantics. Furthermore, we introduce a concept for the adaptive planning and decomposition of queries across heterogeneous database systems with different capabilities and features. The conceptual contributions presented in this thesis materialize in Polypheny-DB, the first implementation of a PolyDBMS. Supporting the relational, document, and labeled property graph data model, Polypheny-DB is a suitable solution for structured, semi-structured, and unstructured data. This is complemented by an extensive type system that includes support for binary large objects. With support for multiple query languages, industry standard query interfaces, and a rich set of domain-specific data stores and data sources, Polypheny-DB offers a flexibility unmatched by existing data management solutions

BDAQ53, a versatile pixel detector readout and test system for the ATLAS and CMS HL-LHC upgrades

BDAQ53 is a readout system and verification framework for hybrid pixel detector readout chips of the RD53 family. These chips are designed for the upgrade of the inner tracking detectors of the ATLAS and CMS experiments. BDAQ53 is used in applications where versatility and rapid customization are required, such as in laboratory testing environments, test beam campaigns, and permanent setups for quality control measurements. It consists of custom and commercial hardware, a Python-based software framework, and FPGA firmware. BDAQ53 is developed as open source software with both software and firmware being hosted in a public repository.Comment: 6 pages, 6 figure

Radiation tolerant, thin, passive CMOS sensors read out with the RD53A chip

The radiation hardness of passive CMOS pixel sensors fabricated in 150nm LFoundry technology is investigated. CMOS process lines are especially of interest for large-scale silicon detectors as they offer high production throughput at comparatively low cost. Moreover, several features like poly-silicon resistors, MIM-capacitors and several metal layers are available which can help enhance the sensor design. The performance of a 100µm thin passive CMOS sensor with a pixel pitch of 50µm at different irradiation levels, 5 × 10$^{15}$ne$_{qc}$m$^{−2}$ and 1 × 10$^{16}$ne$_{qc}$m$^{−2}$, is presented. The sensor was bump-bonded and read out using the RD53A readout chip. After the highest fluence a hit-detection efficiency larger than 99% is measured for minimum ionising particles. The measured equivalent noise charge is comparable to conventional planar pixel sensors. Passive CMOS sensors are thus an attractive option for silicon detectors operating in radiation harsh environments like the upgrades for the LHC experiments

Radiation tolerant, thin, passive CMOS sensors read out with the RD53A chip

The radiation hardness of passive CMOS pixel sensors fabricated in 150nm LFoundry technology is investigated. CMOS process lines are especially of interest for large-scale silicon detectors as they offer high production throughput at comparatively low cost. Moreover, several features like poly-silicon resistors, MIM-capacitors and several metal layers are available which can help enhance the sensor design. The performance of a 100µm thin passive CMOS sensor with a pixel pitch of 50µm at different irradiation levels, 5 × 10$^{15}$ne$_{qc}$m$^{−2}$ and 1 × 10$^{16}$ne$_{qc}$m$^{−2}$, is presented. The sensor was bump-bonded and read out using the RD53A readout chip. After the highest fluence a hit-detection efficiency larger than 99% is measured for minimum ionising particles. The measured equivalent noise charge is comparable to conventional planar pixel sensors. Passive CMOS sensors are thus an attractive option for silicon detectors operating in radiation harsh environments like the upgrades for the LHC experiments

CCDC 228464: Experimental Crystal Structure Determination

Related Article: J.I.van der Vlugt, M.Fioroni, J.Ackerstaff, R.W.J.M.Hanssen, A.M.Mills, A.L.Spek, A.Meetsma, H.C.L.Abbenhuis, D.Vogt|2003|Organometallics|22|5297|doi:10.1021/om030522y,An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

CCDC 228463: Experimental Crystal Structure Determination

Related Article: J.I.van der Vlugt, M.Fioroni, J.Ackerstaff, R.W.J.M.Hanssen, A.M.Mills, A.L.Spek, A.Meetsma, H.C.L.Abbenhuis, D.Vogt|2003|Organometallics|22|5297|doi:10.1021/om030522y,An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

CCDC 228465: Experimental Crystal Structure Determination

Related Article: J.I.van der Vlugt, M.Fioroni, J.Ackerstaff, R.W.J.M.Hanssen, A.M.Mills, A.L.Spek, A.Meetsma, H.C.L.Abbenhuis, D.Vogt|2003|Organometallics|22|5297|doi:10.1021/om030522y,An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

CCDC 228462: Experimental Crystal Structure Determination

Related Article: J.I.van der Vlugt, M.Fioroni, J.Ackerstaff, R.W.J.M.Hanssen, A.M.Mills, A.L.Spek, A.Meetsma, H.C.L.Abbenhuis, D.Vogt|2003|Organometallics|22|5297|doi:10.1021/om030522y,An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.