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Simulated data and background - invariant mass

Search for structure in the B0sπ± invariant mass spectrum

Search for structure in the B0sπ± invariant mass spectrum

... the data are fitted with functions that include a signal component, described by a double Gaussian function with a shared mean, and a combinatorial background component, described by a polynomial ...

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Energy Calibration of the BaBar EMC. Using the Pi0 Invariant Mass Method

Energy Calibration of the BaBar EMC. Using the Pi0 Invariant Mass Method

... 3.3 Calorimeter Overview 3.3.1 Calorimetry Requirements The BaBar EMC has been designed and constructed to meet specic per- formance criteria. Reconstructing CP eigenstates containing one or more  0 's re- quires a ...

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Search for a Structure in the B_{s}^{0}π^{±} Invariant Mass Spectrum with the ATLAS Experiment.

Search for a Structure in the B_{s}^{0}π^{±} Invariant Mass Spectrum with the ATLAS Experiment.

... the background, based on MC simulation. Assigning the pion mass hypothesis to the tracks that pass these selection criteria, the mass mðB 0 s π Þ is calculated as mðJ=ψKKπ Þ − mðJ=ψKKÞ þ m fit ðB 0 s ...

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Check of the structure in photon pairs spectra at the invariant mass of about 38 MeV/c2

Check of the structure in photon pairs spectra at the invariant mass of about 38 MeV/c2

... the invariant mass spectra, a background should be sub- ...This background was subtracted from the invariant mass distributions (see ...

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Visualizing genotype × phenotype relationships in the GAW15 simulated data

Visualizing genotype × phenotype relationships in the GAW15 simulated data

... Background One of the most challenging aspects of complex genetic traits is developing intuition regarding genotype × pheno- type relationships across the distribution of a continuous covariate. Standard ...

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Deep Learning of Invariant Features via Simulated Fixations in Video

Deep Learning of Invariant Features via Simulated Fixations in Video

... extract data from the Hans van Hateren natural video repository, we apply spatial-temporal Difference-of-Gaussian blob detector and select areas of high response to simulate visual ...

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Sparse and Background-Invariant Coding of Vocalizations in Auditory Scenes

Sparse and Background-Invariant Coding of Vocalizations in Auditory Scenes

... every simulated BS neuron. We simulated multiple BS neurons, each of which had the same temporal filter but received input from a different primary AC ...tified simulated primary AC and BS spike ...

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Partially Invariant System for Spacecraft Center of  Mass Motion Stabilization

Partially Invariant System for Spacecraft Center of Mass Motion Stabilization

... The data referred to in publications [2,3] show that improved accuracy of roll stabilization in the active phase by one order results in reduction of total characteristic correction velocity for Mars ...

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The connection between mass, environment, and slow rotation in simulated galaxies

The connection between mass, environment, and slow rotation in simulated galaxies

... CL also thanks the MERAC Foundation for a Postdoctoral Re- search Award and Cardiff University for their visitor program. YB received funding from the European Union’s Horizon 2020 re- search and innovation programme ...

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Background albedo dynamics improve simulated precipitation variability in the Sahel region

Background albedo dynamics improve simulated precipitation variability in the Sahel region

... mean simulated time series, we do indeed find a good correlation between all nine simulations and the observed data, with correlation coeffi- cients lying in the range of ...

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CORONAL MASS EJECTIONS: OVERVIEW OF OBSERVATIONS. 1. Background

CORONAL MASS EJECTIONS: OVERVIEW OF OBSERVATIONS. 1. Background

... physical (mass, energy) categories. For reference we quote the average proper- ties from the different sources in Table I; these are roughly consistent among the different data sets. It is important to note ...
Shape-Invariant Models for Non-Independent Functional Data

Shape-Invariant Models for Non-Independent Functional Data

... Raw mass trajectories; (b) log-mass ...body mass from larva to pupa is because the beetle stops eating and starts searching for a place to ...birth mass, the maximum mass, and the ...

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Mass spectrometry based proteomics, background, status and future needs

Mass spectrometry based proteomics, background, status and future needs

... to mass spectrometric ...the mass spectrometer or in a two step procedure with fraction collection between the chromatographic ...the data- ...the mass spectrometer can only sequence a limited ...

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Chapter 6. The Mass Layoff Statistics Program IN THIS CHAPTER. Background

Chapter 6. The Mass Layoff Statistics Program IN THIS CHAPTER. Background

... Extended mass layoff data (quarterly) These events are based on both State administrative data and employer-provided ...a mass layoff event has triggered, the employer is contacted by the ...

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Background subtraction for the Cluster/CODIF plasma ion mass spectrometer

Background subtraction for the Cluster/CODIF plasma ion mass spectrometer

... pulse-height data give the full information recorded by the instrument for a small sample of individual ion ...PHA data are a low priority product, have a very coarse time resolution and are transmitted ...

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Consistency of metagenomic assignment programs in simulated and real data

Consistency of metagenomic assignment programs in simulated and real data

... Background: Metagenomics is the genomic study of uncultured environmental samples, which has been greatly facilitated by the advent of shotgun-sequencing technologies. One of the main focuses of metagenomics is ...

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Illumination-Invariant Image Matching Based on Simulated Kalman Filter (SKF) Algorithm

Illumination-Invariant Image Matching Based on Simulated Kalman Filter (SKF) Algorithm

... Abstract—In this paper, a novel image template matching approach to tackle illumination-invariant problem has been proposed. The traditional algorithm to solve image matching problem takes a lot of memory and ...

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Poisson models for simulated data

Poisson models for simulated data

... Overdispersion is often encountered when fitting very simple parametric models, such as those based on the Poisson distribution. The Poisson distribution has one free parameter and does not allow for the variance to be ...

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Illumination Invariant Deep Learning for Hyperspectral Data

Illumination Invariant Deep Learning for Hyperspectral Data

... hyperspectral data is difficult, thus classifiers and feature learners are often limited to using small amounts of labelled training data that do not accurately capture the variability of the ...labelled ...

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Time Scale Invariant Audio Data Embedding

Time Scale Invariant Audio Data Embedding

... high-quality data embedding in ...to data embedding. The possible data embedding rates are between 20 and 30 ...embedding data rate is around 5 bps. The algorithm is invariant after ...

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