44 research outputs found
Certainty Closure: Reliable Constraint Reasoning with Incomplete or Erroneous Data
Constraint Programming (CP) has proved an effective paradigm to model and
solve difficult combinatorial satisfaction and optimisation problems from
disparate domains. Many such problems arising from the commercial world are
permeated by data uncertainty. Existing CP approaches that accommodate
uncertainty are less suited to uncertainty arising due to incomplete and
erroneous data, because they do not build reliable models and solutions
guaranteed to address the user's genuine problem as she perceives it. Other
fields such as reliable computation offer combinations of models and associated
methods to handle these types of uncertain data, but lack an expressive
framework characterising the resolution methodology independently of the model.
We present a unifying framework that extends the CP formalism in both model
and solutions, to tackle ill-defined combinatorial problems with incomplete or
erroneous data. The certainty closure framework brings together modelling and
solving methodologies from different fields into the CP paradigm to provide
reliable and efficient approches for uncertain constraint problems. We
demonstrate the applicability of the framework on a case study in network
diagnosis. We define resolution forms that give generic templates, and their
associated operational semantics, to derive practical solution methods for
reliable solutions.Comment: Revised versio
Grasp It Loudly! Supporting Actions with Semantically Congruent Spoken Action Words
Evidence for cross-talk between motor and language brain structures has accumulated over the past several years. However, while a significant amount of research has focused on the interaction between language perception and action, little attention has been paid to the potential impact of language production on overt motor behaviour
Pushing the high count rate limits of scintillation detectors for challenging neutron-capture experiments
One of the critical aspects for the accurate determination of neutron capture
cross sections when combining time-of-flight and total energy detector
techniques is the characterization and control of systematic uncertainties
associated to the measuring devices. In this work we explore the most
conspicuous effects associated to harsh count rate conditions: dead-time and
pile-up effects. Both effects, when not properly treated, can lead to large
systematic uncertainties and bias in the determination of neutron cross
sections. In the majority of neutron capture measurements carried out at the
CERN n\_TOF facility, the detectors of choice are the CD
liquid-based either in form of large-volume cells or recently commissioned sTED
detector array, consisting of much smaller-volume modules. To account for the
aforementioned effects, we introduce a Monte Carlo model for these detectors
mimicking harsh count rate conditions similar to those happening at the CERN
n\_TOF 20~m fligth path vertical measuring station. The model parameters are
extracted by comparison with the experimental data taken at the same facility
during 2022 experimental campaign. We propose a novel methodology to consider
both, dead-time and pile-up effects simultaneously for these fast detectors and
check the applicability to experimental data from Au(,),
including the saturated 4.9~eV resonance which is an important component of
normalization for neutron cross section measurements
Advances and new ideas for neutron-capture astrophysics experiments at CERN n_TOF
This article presents a few selected developments and future ideas related to the measurement of (n,Îł) data of astrophysical interest at CERN n_TOF. The MC-aided analysis methodology for the use of low-efficiency radiation detectors in time-of-flight neutron-capture measurements is discussed, with particular emphasis on the systematic accuracy. Several recent instrumental advances are also presented, such as the development of total-energy detectors with Îł-ray imaging capability for background suppression, and the development of an array of small-volume organic scintillators aimed at exploiting the high instantaneous neutron-flux of EAR2. Finally, astrophysics prospects related to the intermediate i neutron-capture process of nucleosynthesis are discussed in the context of the new NEAR activation area
Advances and new ideas for neutron-capture astrophysics experiments at CERN n_TOF
This article presents a few selected developments and future ideas related to the measurement of (n,Îł) data of astrophysical interest at CERN n_TOF. The MC-aided analysis methodology for the use of low-efficiency radiation detectors in time-of-flight neutron-capture measurements is discussed, with particular emphasis on the systematic accuracy. Several recent instrumental advances are also presented, such as the development of total-energy detectors with Îł-ray imaging capability for background suppression, and the development of an array of small-volume organic scintillators aimed at exploiting the high instantaneous neutron-flux of EAR2. Finally, astrophysics prospects related to the intermediate i neutron-capture process of nucleosynthesis are discussed in the context of the new NEAR activation area
Genomics and transcriptomics of Xanthomonas campestris species challenge the concept of core type III effectome
OC-0349: DVH comparison of whole breast radiotherapy (WBRT) in prone and supine position
Apport de la fibre optique pour l’étude des ancrages passifs scellés au rocher en milieu fracturé
International audienceLa fracturation des massifs rocheux impacte le comportement des ancrages passifs scellés au rocher utilisés pour la gestion du risque rocheux. Nous présentons les résultats d’essais d’arrachement instrumentés par fibre optique réalisés sur trois sites présentant des niveaux de fracturation variables. Ces résultats couplés avec de l’endoscopie permettent de mieux comprendre les sollicitations en profondeur