| 1. |
- Aamodt, K., et al.
(författare)
-
The ALICE experiment at the CERN LHC
- 2008
-
Ingår i: Journal of Instrumentation. - 1748-0221. ; 3:S08002
-
Forskningsöversikt (refereegranskat)abstract
- ALICE (A Large Ion Collider Experiment) is a general-purpose, heavy-ion detector at the CERN LHC which focuses on QCD, the strong-interaction sector of the Standard Model. It is designed to address the physics of strongly interacting matter and the quark-gluon plasma at extreme values of energy density and temperature in nucleus-nucleus collisions. Besides running with Pb ions, the physics programme includes collisions with lighter ions, lower energy running and dedicated proton-nucleus runs. ALICE will also take data with proton beams at the top LHC energy to collect reference data for the heavy-ion programme and to address several QCD topics for which ALICE is complementary to the other LHC detectors. The ALICE detector has been built by a collaboration including currently over 1000 physicists and engineers from 105 Institutes in 30 countries, Its overall dimensions are 16 x 16 x 26 m(3) with a total weight of approximately 10 000 t. The experiment consists of 18 different detector systems each with its own specific technology choice and design constraints, driven both by the physics requirements and the experimental conditions expected at LHC. The most stringent design constraint is to cope with the extreme particle multiplicity anticipated in central Pb-Pb collisions. The different subsystems were optimized to provide high-momentum resolution as well as excellent Particle Identification (PID) over a broad range in momentum, up to the highest multiplicities predicted for LHC. This will allow for comprehensive studies of hadrons, electrons, muons, and photons produced in the collision of heavy nuclei. Most detector systems are scheduled to be installed and ready for data taking by mid-2008 when the LHC is scheduled to start operation, with the exception of parts of the Photon Spectrometer (PHOS), Transition Radiation Detector (TRD) and Electro Magnetic Calorimeter (EMCal). These detectors will be completed for the high-luminosity ion run expected in 2010. This paper describes in detail the detector components as installed for the first data taking in the summer of 2008.
|
|
| 2. |
- Lilliesköld, Joakim, 1973-
(författare)
-
Managing Complex Industrial Projects : A comparison between holistic models
- 2005
-
Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Even though the management of large projects has been studied for many years, the track record is still poor, especially for those projects developing complex systems. This thesis studies projects such as these and attempts to find clues as to why some succeed while others do not. Among the challenges, is the specific yet basic need to create a shared understanding in a group of hundreds engineering specialists with their own ideas (biases) of how things actually work. Further, complex development projects are likely to change, especially those projects involved with new technologies that should be state of the art when they hit the market after several years of development time. Thus, there is a need for a tool that can be used to adapt to changes. An important part of this thesis is the evaluation of different diagram systems that have been used in different development projects. These diagrams function as a device to create a shared understanding of the project and enable those involved to maneuver the project through changes. The evaluation focuses on what the diagrams can express and how easy it is to understand their content. In terms of expressiveness, one of the three evaluated models: the Anatomy Model, answers the largest number of questions relevant to the total project manager. In terms of ease of use, the evaluation shows that the Anatomy did not only answer more questions relevant to the total project manager, but was also easier to maneuver through compared to the alternative models. The thesis concludes that when working with complex development projects, a model like the anatomy provides the project manager with a simple tool that can be used to maneuver through changes and create a communal understanding. Such a simplified model addresses more questions that are relevant to the project manager and is easier to update than the traditional tools that are suggested in most literature.
|
|
