Abstract
In e{sup +}e{sup -} events, the jets have a spherical 3D symmetry. A set of invariants are defined for 3D objects with a spherical symmetry. These new invariants are used to tag the number of jets in e{sup +}e{sup -} events. (K.A.) 3 refs.
Citation Formats
Proriol, J.
Pattern recognition: invariants in 3D. Application to tag the number of jets in e{sup +}e{sup -} events with a neural network.
France: N. p.,
1992.
Web.
Proriol, J.
Pattern recognition: invariants in 3D. Application to tag the number of jets in e{sup +}e{sup -} events with a neural network.
France.
Proriol, J.
1992.
"Pattern recognition: invariants in 3D. Application to tag the number of jets in e{sup +}e{sup -} events with a neural network."
France.
@misc{etde_10137027,
title = {Pattern recognition: invariants in 3D. Application to tag the number of jets in e{sup +}e{sup -} events with a neural network}
author = {Proriol, J}
abstractNote = {In e{sup +}e{sup -} events, the jets have a spherical 3D symmetry. A set of invariants are defined for 3D objects with a spherical symmetry. These new invariants are used to tag the number of jets in e{sup +}e{sup -} events. (K.A.) 3 refs.}
place = {France}
year = {1992}
month = {Dec}
}
title = {Pattern recognition: invariants in 3D. Application to tag the number of jets in e{sup +}e{sup -} events with a neural network}
author = {Proriol, J}
abstractNote = {In e{sup +}e{sup -} events, the jets have a spherical 3D symmetry. A set of invariants are defined for 3D objects with a spherical symmetry. These new invariants are used to tag the number of jets in e{sup +}e{sup -} events. (K.A.) 3 refs.}
place = {France}
year = {1992}
month = {Dec}
}