scholarly journals Real-time data analysis model at LHC and connections to other experiments and fields

2020 ◽  
Vol 245 ◽  
pp. 11005
Author(s):  
Arantza Oyanguren
Keyword(s):  
Real Time ◽  
Hadron Collider ◽  
Proton Collision ◽  
Analysis Model ◽  
Time Analysis ◽  
Time Data ◽  
Proton Proton ◽  
Real Time Analysis ◽  
Real Time Data ◽  
Proton Proton Collision

With the upcoming increase of proton-proton collision rates at the Large Hadron Collider (LHC) experiments, and the corresponding increase of data volumes, real-time analysis becomes a key ingredient to be able to analyse and select the interesting data within the available computing resources. In this talk I will review the main features of the techniques followed by the ATLAS, CMS and LHCb experiments. Similar challenges have to be faced in other fields, such as astronomy and cosmology, and I will comment about them.

Quick re-introduction of selective scalar interactions in a pure-shift NMR spectrum

2014 ◽  
Vol 50 (98) ◽  
pp. 15597-15600 ◽  
Author(s):  
N. Lokesh ◽  
Sachin Rama Chaudhari ◽  
N. Suryaprakash
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Time Data ◽  
Nmr Spectrum ◽  
Proton Proton ◽  
Real Time Data

A new 1D NMR experiment cited as ‘Quick G-SERF’, which re-introduces selective proton–proton scalar interactions in a pure shift spectrum during real time data acquisition, is reported.

scholarly journals Measurement of cross sections and couplings of the Higgs boson in fermionic decay modes with the ATLAS detector

2018 ◽  
Vol 182 ◽  
pp. 02119
Author(s):  
Liaoshan Shi
Keyword(s):  
Higgs Boson ◽  
Large Hadron Collider ◽  
Cross Sections ◽  
Hadron Collider ◽  
Atlas Detector ◽  
Proton Collision ◽  
Proton Proton ◽  
Decay Modes ◽  
Proton Proton Collision ◽  
The Cross

In this report, we present the latest ATLAS results on the measurement of the cross sections and couplings of the Higgs boson in the fermionic decay modes, H → μ+μ-, H → τ+τ- and H → bb. The searches are performed with proton-proton collision data delivered by the Large Hadron Collider during Run 1 and the first two years of Run 2 at √s = 7, 8 and 13 TeV.

scholarly journals Search for R-parity-violating supersymmetry in a final state containing leptons and many jets with the ATLAS experiment using $$\sqrt{s} = 13\hbox { TeV}$$ proton–proton collision data

2021 ◽  
Vol 81 (11) ◽  
Author(s):  
G. Aad ◽  
B. Abbott ◽  
D. C. Abbott ◽  
A. Abed Abud ◽  
K. Abeling ◽  
...  
Keyword(s):  
Machine Learning ◽  
Hadron Collider ◽  
Data Driven ◽  
Machine Learning Techniques ◽  
Proton Collision ◽  
Top Squark ◽  
Proton Proton ◽  
Atlas Experiment ◽  
Background Estimation ◽  
Proton Proton Collision

AbstractA search for R-parity-violating supersymmetry in final states characterized by high jet multiplicity, at least one isolated light lepton and either zero or at least three b-tagged jets is presented. The search uses $${139}\,{\text {fb}^{-1}}$$ 139 fb - 1 of $$\sqrt{s} = {13}\hbox { TeV}$$ s = 13 TeV proton–proton collision data collected by the ATLAS experiment during Run 2 of the Large Hadron Collider. The results are interpreted in the context of R-parity-violating supersymmetry models that feature gluino production, top-squark production, or electroweakino production. The dominant sources of background are estimated using a data-driven model, based on observables at medium jet multiplicity, to predict the b-tagged jet multiplicity distribution at the higher jet multiplicities used in the search. Machine-learning techniques are used to reach sensitivity to electroweakino production, extending the data-driven background estimation to the shape of the machine-learning discriminant. No significant excess over the Standard Model expectation is observed and exclusion limits at the 95% confidence level are extracted, reaching as high as 2.4 TeV in gluino mass, 1.35 TeV in top-squark mass, and 320 (365) GeV in higgsino (wino) mass.

Subway Monitoring System Based on TM30 Georobot Research and Implementation

2011 ◽  
Vol 368-373 ◽  
pp. 2109-2116 ◽  
Author(s):  
Xing Liu ◽  
Shi Yu Wei ◽  
Qiang Gao ◽  
Zhou Qing ◽  
Chun Lin Ran
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Structural Design ◽  
Monitoring Data ◽  
Analysis Model ◽  
Time Analysis ◽  
Development Environment ◽  
Basic Principles ◽  
Real Time Analysis ◽  
Visual Basic 6.0

This article describes the basic principles of TM30 Georobot and GeoCOM port, completed the structural design of subway monitoring system database; Based on development environment with Visual Basic 6.0, Monitoring data to achieve automated collection of subway, as well as real-time analysis of monitoring data, Among them, the data were analyzed using different wavelet analysis model. Finally the automatic system is provided with monitoring data acquisition, real-time analysis and pre-alarm function, and provides report output.

scholarly journals Real-Time Analysis of Online Sources for Supporting Business Intelligence Illustrated with Bitcoin Investments and IoT Smart-Meter Sensors in Smart Cities

Electronics ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. 1101 ◽  
Author(s):  
Iván García-Magariño ◽  
Moustafa M. Nasralla ◽  
Shah Nazir
Keyword(s):  
Data Management ◽  
Real Time ◽  
Business Intelligence ◽  
Smart Cities ◽  
Online Information ◽  
Smart Meter ◽  
Time Data ◽  
Real Time Analysis ◽  
Real Time Data ◽  
Historic Data

Real-time data management analytics involve capturing data in real-time and, at the same time, processing data in a light way to provide an effective real-time support. Real-time data management analytics are key for supporting decisions of business intelligence. The proposed approach covers all these phases by (a) monitoring online information from websites with Selenium-based software and incrementally conforming a database, and (b) incrementally updating summarized information to support real-time decisions. We have illustrated this approach for the investor–company field with the particular fields of Bitcoin cryptocurrency and Internet-of-Things (IoT) smart-meter sensors in smart cities. The results of 40 simulations on historic data showed that one of the proposed investor strategies achieved 7.96% of profits on average in less than two weeks. However, these simulations and other simulations of up to 69 days showed that the benefits were highly variable in these two sets of simulations (respective standard deviations were 24.6% and 19.2%).

scholarly journals DATA-DRIVEN REAL-TIME ANALYSIS SERVICE FOR SATELLITE AREA COVERAGE

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 769-774
Author(s):  
W. J. Lu ◽  
Q. Xu ◽  
C. Z. Lan ◽  
S. Q. Shi ◽  
L. Lyu ◽  
...  
Keyword(s):  
Real Time ◽  
Area Coverage ◽  
Data Driven ◽  
Analysis Model ◽  
Time Analysis ◽  
Online Services ◽  
Coverage Area ◽  
Real Time Analysis ◽  
Coverage Analysis ◽  
Ground Coverage

Abstract. Satellite area coverage analysis is complex, especially when the satellite operating state changes. Traditional algorithms cannot quickly and efficiently obtain the satellite area coverage analysis results, and are incapable of providing efficient online services. To overcome these shortcomings and meet the needs of 21st century geospatial science and applications for real-time response and online services for handling high concurrent requests, a data-driven real-time analysis service for satellite area coverage is proposed. Firstly, to optimize traditional algorithms, an extended bounding rectangle of the ground area is constructed, and the spatial relationship with the central point of satellite ground coverage area is determined to avoid large number of calculations of satellite ground coverage areas, thus, improving efficiency. Secondly, the data-driven real-time analysis model is constructed, and is used to further improve the efficiency of satellite area coverage analysis. Finally, a simulation analysis scenario is developed, the service proposed in this study is verified, and the results are visualized. The experimental results show that the proposed data-driven real-time analysis service can cope well with the requests from users for online service of satellite area coverage, improve the cognitive capability of users and operators, and help in completely utilizing the application performance of observation satellites.

scholarly journals Measurements of the Higgs boson inclusive and differential fiducial cross sections in the 4$$\ell $$ decay channel at $$\sqrt{s}$$ = 13 TeV

2020 ◽  
Vol 80 (10) ◽  
Author(s):  
G. Aad ◽  
◽  
B. Abbott ◽  
D. C. Abbott ◽  
A. Abed Abud ◽  
...  
Keyword(s):  
Higgs Boson ◽  
Standard Model ◽  
Cross Sections ◽  
Decay Channel ◽  
Standard Model Prediction ◽  
Hadron Collider ◽  
Proton Collision ◽  
Proton Proton ◽  
The Standard Model ◽  
Proton Proton Collision

AbstractInclusive and differential fiducial cross sections of the Higgs boson are measured in the $$H \rightarrow ZZ^{*} \rightarrow 4\ell $$ H → Z Z ∗ → 4 ℓ ($$\ell = e,\mu $$ ℓ = e , μ ) decay channel. The results are based on proton−proton collision data produced at the Large Hadron Collider at a centre-of-mass energy of 13 TeV and recorded by the ATLAS detector from 2015 to 2018, equivalent to an integrated luminosity of 139 $$\hbox {fb}^{-1}$$ fb - 1 . The inclusive fiducial cross section for the $$H \rightarrow ZZ^{*} \rightarrow 4\ell $$ H → Z Z ∗ → 4 ℓ process is measured to be $$\sigma _\mathrm {fid} = 3.28 \pm 0.32$$ σ fid = 3.28 ± 0.32  fb, in agreement with the Standard Model prediction of $$\sigma _\mathrm {fid, SM} = 3.41 \pm 0.18 $$ σ fid , SM = 3.41 ± 0.18  fb. Differential fiducial cross sections are measured for a variety of observables which are sensitive to the production and decay of the Higgs boson. All measurements are in agreement with the Standard Model predictions. The results are used to constrain anomalous Higgs boson interactions with Standard Model particles.

scholarly journals Searches for exotic phenomena with the ATLAS detector

2015 ◽  
Vol 39 ◽  
pp. 1560094
Author(s):  
Patrick Czodrowski
Keyword(s):  
Large Hadron Collider ◽  
Hadron Collider ◽  
Atlas Detector ◽  
Proton Collision ◽  
Proton Proton ◽  
Atlas Experiment ◽  
Proton Proton Collision ◽  
New Phenomena

Recent results of searches for exotic phenomena (new phenomena other than Supersymmetry) with the ATLAS experiment at the Large Hadron Collider conducted with proton–proton collision data at [Formula: see text][Formula: see text]TeV taken 2012 were presented.

scholarly journals Search for type-III seesaw heavy leptons in dilepton final states in pp collisions at $$ \sqrt{s} = 13\,{\text {TeV}} $$ with the ATLAS detector

2021 ◽  
Vol 81 (3) ◽  
Author(s):  
G. Aad ◽  
◽  
B. Abbott ◽  
D. C. Abbott ◽  
A. Abed Abud ◽  
...  
Keyword(s):  
Hadron Collider ◽  
Atlas Detector ◽  
Proton Collision ◽  
Final State ◽  
Proton Proton ◽  
Type Iii ◽  
Missing Transverse Momentum ◽  
Proton Proton Collision ◽  
Heavy Leptons ◽  
Two Jets

AbstractA search for the pair production of heavy leptons as predicted by the type-III seesaw mechanism is presented. The search uses proton–proton collision data at a centre-of-mass energy of 13 TeV, corresponding to $$ 139\,{\text {fb}}^{-1} $$ 139 fb - 1 of integrated luminosity recorded by the ATLAS detector during Run 2 of the Large Hadron Collider. The analysis focuses on the final state with two light leptons (electrons or muons) of different flavour and charge combinations, with at least two jets and large missing transverse momentum. No significant excess over the Standard Model expectation is observed. The results are translated into exclusion limits on heavy-lepton masses, and the observed lower limit on the mass of the type-III seesaw heavy leptons is 790 GeV at 95% confidence level.

Sign in / Sign up

Export Citation Format

Share Document