Branching and Interacting Particle Interpretations of Rare Event Probabilities

2006 ◽  
pp. 277-323 ◽  
Author(s):  
Pierre Moral ◽  
Pascal Lezaud
Keyword(s):  
Rare Event ◽  
Interacting Particle

Optimisation of interacting particle systems for rare event estimation

2013 ◽  
Vol 66 ◽  
pp. 117-128 ◽  
Author(s):  
Jérôme Morio ◽  
Damien Jacquemart ◽  
Mathieu Balesdent ◽  
Julien Marzat
Keyword(s):  
Interacting Particle Systems ◽  
Rare Event ◽  
Particle Systems ◽  
Interacting Particle

DEVELOPMENT OF SCINTILLATING BOLOMETERS FOR DARK MATTER SEARCHES

2013 ◽  
Vol 23 ◽  
pp. 324-328 ◽  
Author(s):  
M. MARTÍNEZ ◽  
C. CUESTA ◽  
E. GARCÍA ◽  
C. GINESTRA ◽  
A. ORTIZ DE SOLÓRZANO ◽  
...  
Keyword(s):  
Dark Matter ◽  
Solid State ◽  
Low Temperature ◽  
Cross Sections ◽  
Simultaneous Detection ◽  
Rare Event ◽  
Cryogenic Detectors ◽  
Fast Neutron Flux ◽  
Interacting Particle ◽  
Wide Range

Scintillating bolometers, in which the simultaneous detection of light and heat allows to discriminate the nature of the interacting particle, are one of the most promising detectors for Dark Matter (DM) searches. One main advantage is the wide range of materials that can be used as target, that could provide a key for WIMP identification. The EURECA (European Underground Rare Event Calorimeter Array) project aims to install 1 ton of cryogenic detectors ( Ge and solid state scintillators) to explore the spin independent (SI) scalar cross sections down to the 10-46 cm2 region. In this frame, the ROSEBUD collaboration is developing low temperature scintillating materials to be installed at the Canfranc Underground Laboratory. Work on 6 Li and 10 B based targets, that could allow to monitor the thermal and fast neutron flux within the experiments, is also presented.

Optimal potential functions for the interacting particle system method

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Hassane Chraibi ◽  
Anne Dutfoy ◽  
Thomas Galtier ◽  
Josselin Garnier
Keyword(s):  
Variance Reduction ◽  
Particle System ◽  
Asymptotic Variance ◽  
Rare Event ◽  
Potential Functions ◽  
Interacting Particle System ◽  
Interacting Particle ◽  
Original Distribution ◽  
Reduction Methods ◽  
Computationally Intensive

Abstract The assessment of the probability of a rare event with a naive Monte Carlo method is computationally intensive, so faster estimation or variance reduction methods are needed. We focus on one of these methods which is the interacting particle system (IPS) method. The method is not intrusive in the sense that the random Markov system under consideration is simulated with its original distribution, but selection steps are introduced that favor trajectories (particles) with high potential values. An unbiased estimator with reduced variance can then be proposed. The method requires to specify a set of potential functions. The choice of these functions is crucial because it determines the magnitude of the variance reduction. So far, little information was available on how to choose the potential functions. This paper provides the expressions of the optimal potential functions minimizing the asymptotic variance of the estimator of the IPS method and it proposes recommendations for the practical design of the potential functions.

Proactivity after a rare event: Examining the role of empathy and attributions

2011 ◽  
Author(s):  
Shu-cheng Steve Chi ◽  
Shu-chen Chen ◽  
Ray Friedman
Keyword(s):  
Rare Event

Framework for rare event detection using Artificial Neural Network based context free grammar

2020 ◽  
Vol 39 (6) ◽  
pp. 8463-8475
Author(s):  
Palanivel Srinivasan ◽  
Manivannan Doraipandian
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Event Detection ◽  
Performance Metrics ◽  
Rare Events ◽  
Rare Event ◽  
Video Stream ◽  
Context Free Grammar ◽  
Artificial Neural ◽  
Context Free

Rare event detections are performed using spatial domain and frequency domain-based procedures. Omnipresent surveillance camera footages are increasing exponentially due course the time. Monitoring all the events manually is an insignificant and more time-consuming process. Therefore, an automated rare event detection contrivance is required to make this process manageable. In this work, a Context-Free Grammar (CFG) is developed for detecting rare events from a video stream and Artificial Neural Network (ANN) is used to train CFG. A set of dedicated algorithms are used to perform frame split process, edge detection, background subtraction and convert the processed data into CFG. The developed CFG is converted into nodes and edges to form a graph. The graph is given to the input layer of an ANN to classify normal and rare event classes. Graph derived from CFG using input video stream is used to train ANN Further the performance of developed Artificial Neural Network Based Context-Free Grammar – Rare Event Detection (ACFG-RED) is compared with other existing techniques and performance metrics such as accuracy, precision, sensitivity, recall, average processing time and average processing power are used for performance estimation and analyzed. Better performance metrics values have been observed for the ANN-CFG model compared with other techniques. The developed model will provide a better solution in detecting rare events using video streams.

Rare-event statistics and modular invariance

2017 ◽  
Vol 188 (01) ◽  
pp. 106-112 ◽  
Author(s):  
S.K. Nechaev ◽  
K. Polovnikov
Keyword(s):  
Rare Event ◽  
Modular Invariance

Giant Solitary Gastric Peutz-Jeghers Polyp Mimicking a Malignant Gastric Tumor: the Largest Described in Literature

2014 ◽  
Vol 23 (3) ◽  
pp. 321-324 ◽  
Author(s):  
Sorinel Lunca ◽  
Vlad Porumb ◽  
Natalia Velenciuc ◽  
Dan Ferariu ◽  
Gabriel Dimofte
Keyword(s):  
Upper Gastrointestinal Bleeding ◽  
Rare Event ◽  
Gastric Tumor ◽  
Node Metastasis ◽  
Mucocutaneous Pigmentation ◽  
History Of ◽  
Peutz Jeghers Syndrome ◽  
Upper Gastrointestinal ◽  
Gastric Malignancy ◽  
Polypoid Tumor

A solitary Peutz-Jeghers polyp is defined as a unique polyp occurring without associated mucocutaneous pigmentation or a family history of Peutz-Jeghers syndrome. Gastric solitary localization is a rare event, with only eight reported cases to date. We report herein the case of a 43-year old woman who presented with upper gastrointestinal bleeding, severe anemia, weight loss and asthenia. Endoscopy revealed a giant polypoid tumor with signs of neoplastic invasion of the cardia, with pathological aspect suggesting a Peutz-Jeghers hamartomatous polyp. Computed tomography suggested a malignant gastric tumor and a total gastrectomy was performed. The pathological specimen showed a giant 150/70/50 mm polypoid tumor and immunochemistry established the final diagnostic of a Peutz-Jegers type polyp. This is the largest solitary Peutz-Jeghers gastric polyp reported until now, and the second one mimicking a gastric malignancy with lymph node metastasis.

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