Analyzing Fragmentation of Simple Fluids with Percolation Theory

We show that the size distributions of fragments created by high energy nuclear collisions are remarkably well reproduced within the framework of a parameter free percolation model. We discuss two possible scenarios to explain this agreement and suggest that percolation could be an universal mechanism to explain the fragmentation of simple fluids.Comment: 12 pages, 11 figure

Partial energies fluctuations and negative heat capacities

We proceed to a critical examination of the method used in nuclear fragmentation to exhibit signals of negative heat capacity. We show that this method leads to unsatisfactory results when applied to a simple and well controlled model. Discrepancies are due to incomplete evaluation of potential energies.Comment: Modified figures 3 and

LISACode : A scientific simulator of LISA

A new LISA simulator (LISACode) is presented. Its ambition is to achieve a new degree of sophistication allowing to map, as closely as possible, the impact of the different sub-systems on the measurements. LISACode is not a detailed simulator at the engineering level but rather a tool whose purpose is to bridge the gap between the basic principles of LISA and a future, sophisticated end-to-end simulator. This is achieved by introducing, in a realistic manner, most of the ingredients that will influence LISA's sensitivity as well as the application of TDI combinations. Many user-defined parameters allow the code to study different configurations of LISA thus helping to finalize the definition of the detector. Another important use of LISACode is in generating time series for data analysis developments

A Little Big Bang scenario of fragmentation

We suggest a multifragmentation scenario in which fragments are produced at an early, high temperature and high density, stage of the reaction. In this scenario, self-bound clusters of particles in the hot and dense fluid are the precursors of the observed fragments. This solves a number of recurrent problems concerning the kinetic energies and the temperature of the fragments, encountered with the standard low density fragmentation picture. The possibility to recover the initial thermodynamic parameters from the inspection of the asymptotic fragment size and kinetic energy distributions is discussed

A "Little Big Bang" Scenario of Multifragmentation

We suggest a multifragmentation scenario in which fragments are produced at an early, high temperature and high density, stage of the reaction. In this scenario, self-bound clusters of particles in the hot and dense fluid are the precursors of the observed fragments. This solves a number of recurrent problems concerning the kinetic energies and the temperature of the fragments, encountered with the standard low density fragmentation picture. The possibility to recover the initial thermodynamic parameters from the inspection of the asymptotic fragment size and kinetic energy distributions is discussed.Comment: 15 pages, 12 figure

The eLISA/NGO Data Processing Centre

International audienceData analysis for the eLISA/NGO mission is going to be performed in several steps. The telemetry is unpacked and checked at ESA's Science Operations Centre (SOC). The instrument teams are providing the necessary calibration files for the SOC to process the Level 1 data. The next steps, the source identification, parameter extraction and construction of a catalogue of sources is performed at the Data Processing Centre (DPC). This includes determining the physical and astrophysical parameters of the sources and their strain time series. At the end of the processing, the produced Level 2 and Level 3 data are then transferred back to the SOC, which provides the data archive and the interface for the scientific community. The DPC is organised by the member states of the consortium. In this paper we describe a possible outline of the data processing centre, including the tasks to be performed, and the organisational structure

How does the elastic scattering of 12C + 20Ne compare with that of 16O + 16O ?

Excitation functions for 5 exit channels of the 12C + 20Ne system are given in the range 22-28 MeV centre of mass incident energy. An important structure is observed in the elastic scattering excitation functions taken at 90° and 130° (C.M.). This structure, which reminds one of the 16O + 16O case, is studied in terms of angular momentum matching. An angular distribution taken at 24.7 MeV (C.M.) is also presented. The direct channel absorption is shown to be intermediate between the 16O + 16O and 18O + 18O cases

How signature strengths develop positive interdependence and empowerment in an inclusive education context

This study evaluates the Individual Strengths, Collective Power! program in fostering students' use of strengths vocabulary and improving classroom relationships in an inclusive education setting in Switzerland, where students with and without special educational needs and disabilities (SEND) attend school together. The study involved 179 students, ages 8 to 12, divided into an experimental group that received specific training and an active control group that had access to program resources, regardless of their SEND status. The study used the Strengths Use Scale (SUS) and the Gratitude Questionnaire to measure students' awareness of their strengths and gratitude. In addition, a sociometric measure, the Peer Acceptance Index (PAI), was developed to assess classroom dynamics. Results indicate that strengths-based interventions significantly expanded students' vocabulary of strengths and increased positive discourse, particularly among girls. Time and age were the main predictors of positive peer commentary, rather than the interventions themselves, which had no significant effect on PAI scores. The study suggests that strengths-based tools, even without guided use, can positively influence students' language about strengths, although they did not change classroom relationships within the 9-week period. Further research is recommended to explore the specific effects and mechanisms of strengths-based interventions in inclusive settings