This article reports world averages of measurements of
b
-hadron,
c
-hadron, and
τ
-lepton properties obtained by the Heavy Flavor Averaging Group using results available through summer 2016. For the ...averaging, common input parameters used in the various analyses are adjusted (rescaled) to common values, and known correlations are taken into account. The averages include branching fractions, lifetimes, neutral meson mixing parameters,
C
P
violation parameters, parameters of semileptonic decays, and Cabbibo–Kobayashi–Maskawa matrix elements.
We describe a new B-meson full reconstruction algorithm designed for the Belle experiment at the B-factory KEKB, an asymmetric e
+e
− collider that collected a data sample of 771.6×10
6
B
B
¯
pairs ...during its running time. To maximize the number of reconstructed B decay channels, it utilizes a hierarchical reconstruction procedure and probabilistic calculus instead of classical selection cuts. The multivariate analysis package NeuroBayes was used extensively to hold the balance between highest possible efficiency, robustness and acceptable consumption of CPU time.
In total, 1104 exclusive decay channels were reconstructed, employing 71 neural networks altogether. Overall, we correctly reconstruct one B
± or B
0 candidate in 0.28% or 0.18% of the
B
B
¯
events, respectively. Compared to the cut-based classical reconstruction algorithm used at the Belle experiment, this is an improvement in efficiency by roughly a factor of 2, depending on the analysis considered.
The new framework also features the ability to choose the desired purity or efficiency of the fully reconstructed sample freely. If the same purity as for the classical full reconstruction code is desired (
∼
25
%
), the efficiency is still larger by nearly a factor of 2. If, on the other hand, the efficiency is chosen at a similar level as the classical full reconstruction, the purity rises from
∼
25
%
to nearly 90%.
► A method for full reconstruction of B-mesons was built. ► A hierarchical model with multivariate techniques in each step was used. ► Instead of cuts, probabilities were calculated and feed to higher stages. ► Compared to cut-based methods we achieved a factor of 2 in efficiency.
The recent development of Earth observation systems – like the Copernicus Sentinels – has provided access to satellite data with high spatial and temporal resolution. This is a key component for the ...accurate monitoring of state and changes in land use and land cover. In this research, the crops classification was performed by implementing two deep neural networks based on structured data. Despite the wide availability of optical satellite imagery, such as Landsat and Sentinel-2, the limitations of high quality tagged data make the training of machine learning methods very difficult. For this purpose, we have created and labeled a dataset of the crops in Slovenia for the year 2017. With the selected methods we are able to correctly classify 87% of all cultures. Similar studies have already been carried out in the past, but are limited to smaller regions or a smaller number of crop types.
BackgroundInterruptions of hospital doctors' workflow are a frequent stressor, eventually jeopardising quality of clinical performance. To enhance the safety of hospital doctors' work, it is ...necessary to analyse frequency and circumstances of workflow interruptions.AimTo quantify workflow interruptions among hospital doctors, identify frequent sources and relate sources to doctors' concurrent activities.MethodsWithin a typical hospital, 32 participant observations of doctors' full work shifts were carried out. Time–motion information was collected on types of workflow interruption and doctors' activities and analysed with logit–linear analyses.ResultsThe frequency of workflow interruptions was high, especially on the intensive care unit and emergency ward. Telephones and bleepers were the most frequently recorded type of work interruption. The combined analysis of doctors' activities and concurrent workflow interruptions revealed that the likelihood of the occurrence of certain types of interruption depended on the tasks being carried out by the doctor.ConclusionThe present method may be useful for quantifying and distinguishing sources of hospital doctors' workflow interruptions and useful in raising awareness of organisational circumstances.
Punzi-loss Abudinén, F.; Bertemes, M.; Bilokin, S. ...
The European physical journal. C, Particles and fields,
2022/2, Letnik:
82, Številka:
2
Journal Article
Recenzirano
Odprti dostop
We present the novel implementation of a non-differentiable metric approximation and a corresponding loss-scheduling aimed at the search for new particles of unknown mass in high energy physics ...experiments. We call the loss-scheduling, based on the minimisation of a figure-of-merit related function typical of particle physics, a Punzi-loss function, and the neural network that utilises this loss function a Punzi-net. We show that the Punzi-net outperforms standard multivariate analysis techniques and generalises well to mass hypotheses for which it was not trained. This is achieved by training a single classifier that provides a coherent and optimal classification of all signal hypotheses over the whole search space. Our result constitutes a complementary approach to fully differentiable analyses in particle physics. We implemented this work using PyTorch and provide users full access to a public repository containing all the codes and a training example.
Punzi-loss Abudinén, F; Bertemes, M; Bilokin, S ...
European physical journal. C, Particles and fields,
02/2022, Letnik:
82, Številka:
2
Journal Article
Recenzirano
Odprti dostop
We present the novel implementation of a non-differentiable metric approximation and a corresponding loss-scheduling aimed at the search for new particles of unknown mass in high energy physics ...experiments. We call the loss-scheduling, based on the minimisation of a figure-of-merit related function typical of particle physics, a Punzi-loss function, and the neural network that utilises this loss function a Punzi-net. We show that the Punzi-net outperforms standard multivariate analysis techniques and generalises well to mass hypotheses for which it was not trained. This is achieved by training a single classifier that provides a coherent and optimal classification of all signal hypotheses over the whole search space. Our result constitutes a complementary approach to fully differentiable analyses in particle physics. We implemented this work using PyTorch and provide users full access to a public repository containing all the codes and a training example.
Abstract This article reports world averages of measurements of b-hadron, c-hadron, and $$\tau $$ τ -lepton properties obtained by the Heavy Flavor Averaging Group using results available through ...summer 2016. For the averaging, common input parameters used in the various analyses are adjusted (rescaled) to common values, and known correlations are taken into account. The averages include branching fractions, lifetimes, neutral meson mixing parameters, $$C\!P$$ C P violation parameters, parameters of semileptonic decays, and Cabbibo–Kobayashi–Maskawa matrix elements.
Febrile illnesses following a tick bite in patients from Slovenia were evaluated for an ehrlichial etiology. A case of acute human granulocytic ehrlichiosis (HGE) was confirmed by seroconversion to ...the HGE agent or molecular identification of ehrlichial organisms. Acute infection with the HGE agent was confirmed in four patients. None of the patients had detectable antibodies to the HGE agent at their first visit, but polymerase chain reaction analysis was positive for three patients. All four patients subsequently seroconverted to the HGE agent as shown by high titers of antibody. Clinical features and laboratory findings were similar to those in reports from the United States, although the disease course was relatively mild in the Slovenian cases. All patients recovered rapidly and without sequelae, although only two received antibiotic therapy (of whom only one was treated with doxycycline). HGE is an emerging tick-borne disease in the United States and should now be included in the differential diagnosis of febrile illnesses occurring after a tick bite in Europe.
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