Add to ORKGThe most powerful method of b-jet tagging in ATLAS experiment is based on the relatively long lifetime of B-hadrons and therefore a separation of the B-hadron decay vertex from the pp interaction point . The efficiency of the method is improved while combined with another tagging algorithm using low-p_T electrons from semileptonic b-quark decays. For the first time the neural network approach is used to combine both tagging algorithms. Rejection of background u-jets is improved by 16% and c-jets by 10% comparing to the pure vertex method
The ATLAS collaboration calibrates its b-tagging algorithms using a number of data-driven methods. T...
International audienceFor many physics analyses at the LHC, the ability to identify jets containing ...
Abstract The ATLAS experiment relies on real-time hadronic jet reconstruction and b...
The identification of jets containing a $b$-hadron, referred to as $b$-tagging, plays an important r...
The identification of b-quark initiated jets (b-tagging) is a fundamental tool for the physics of AT...
The separation of b-quark initiated jets from those coming from lighter quark flavors (b-tagging) is...
The existence of heavy particles, such as Higgs bosons and top quarks, which have short lifetime, ca...
A novel $b$-jet identification algorithm is constructed with a Recurrent Neural Network (RNN) at the...
The ability to identify jets containing B hadrons is important for the high-pT physics program of a ...
A novel b-jet identification algorithm is constructed with a Recurrent Neural Network (RNN) at the A...
Analyses involving top quarks are characterised by the presence of several b-jets in the final state...
Many analyses in the ATLAS physics program are dependent on the identification of jets containing b-...
The ability to identify jets stemming from the fragmentation and hadronization of b quarks is import...
For many physics programs at the LHC, the ability to identify jets containing $B$-hadrons ($b$-taggi...
The ATLAS experiment relies on real-time hadronic jet reconstruction and b-tagging to record fully h...
The ATLAS collaboration calibrates its b-tagging algorithms using a number of data-driven methods. T...
International audienceFor many physics analyses at the LHC, the ability to identify jets containing ...
Abstract The ATLAS experiment relies on real-time hadronic jet reconstruction and b...
The identification of jets containing a $b$-hadron, referred to as $b$-tagging, plays an important r...
The identification of b-quark initiated jets (b-tagging) is a fundamental tool for the physics of AT...
The separation of b-quark initiated jets from those coming from lighter quark flavors (b-tagging) is...
The existence of heavy particles, such as Higgs bosons and top quarks, which have short lifetime, ca...
A novel $b$-jet identification algorithm is constructed with a Recurrent Neural Network (RNN) at the...
The ability to identify jets containing B hadrons is important for the high-pT physics program of a ...
A novel b-jet identification algorithm is constructed with a Recurrent Neural Network (RNN) at the A...
Analyses involving top quarks are characterised by the presence of several b-jets in the final state...
Many analyses in the ATLAS physics program are dependent on the identification of jets containing b-...
The ability to identify jets stemming from the fragmentation and hadronization of b quarks is import...
For many physics programs at the LHC, the ability to identify jets containing $B$-hadrons ($b$-taggi...
The ATLAS experiment relies on real-time hadronic jet reconstruction and b-tagging to record fully h...
The ATLAS collaboration calibrates its b-tagging algorithms using a number of data-driven methods. T...
International audienceFor many physics analyses at the LHC, the ability to identify jets containing ...
Abstract The ATLAS experiment relies on real-time hadronic jet reconstruction and b...