CryoEDM: a cryogenic experiment to measure the neutron Electric Dipole Moment
Journal of Physics: Conference Series 251:1 012055
Abstract:
We have constructed an instrument, CryoEDM, to measure the neutron electric dipole moment to a precision of 10−28 e cm at the Institut Laue-Langevin. The main characteristic is that it is operating entirely in a cryogenic environment, at temperatures of 0.7 K within superfluid helium. Ultracold neutrons are produced in a superthermal source and stored within the superfluid in a storage cell which is held in a magnetic and electric field. NMR measurements are carried out to look for any shifts in the neutron Larmor precession frequency associated with the electric field and the neutrons are detected in-situ in the superfluid. Low temperature SQUID magnetometry is used to monitor the magnetic field. We report on the current status of the project that is now being commissioned and give an outlook on the future exploitation of the instrument.ILC Vertex Tracker R&D
Office of Scientific and Technical Information (OSTI)
Jet mass and substructure of inclusive jets in sqrt(s) = 7 TeV pp collisions with the ATLAS experiment
Abstract:
Recent studies have highlighted the potential of jet substructure techniques to identify the hadronic decays of boosted heavy particles. These studies all rely upon the assumption that the internal substructure of jets generated by QCD radiation is well understood. In this article, this assumption is tested on an inclusive sample of jets recorded with the ATLAS detector in 2010, which corresponds to 35 pb^-1 of pp collisions delivered by the LHC at sqrt(s) = 7 TeV. In a subsample of events with single pp collisions, measurementes corrected for detector efficiency and resolution are presented with full systematic uncertainties. Jet invariant mass, kt splitting scales and n-subjettiness variables are presented for anti-kt R = 1.0 jets and Cambridge-Aachen R = 1.2 jets. Jet invariant-mass spectra for Cambridge-Aachen R = 1.2 jets after a splitting and filtering procedure are also presented. Leading-order parton-shower Monte Carlo predictions for these variables are found to be broadly in agreement with data. The dependence of mean jet mass on additional pp interactions is also explored.
METNet: A combined pTmiss working point using a neural network with the ATLAS detector
ATLAS-PHYS-PUB-2021-025, July 2021
Abstract:
In order to suppress pile-up effects and improve the resolution, ATLAS employs a suite of working points for missing transverse momentum (pTmiss) reconstruction, and each is optimal for different event topologies and different beam conditions. A neural network (NN) can exploit various event properties to combine complementary information from each of the working points on an event-by-event basis. The resulting regressed pTmiss (`METNet') offers improved resolution and pile-up resilience across a number of different topologies compared to the current pTmiss working points. Additionally, by using the NN's confidence in its predictions, a machine learning-based pTmiss significance (`METNetSig') can be defined. This note presents simulation-based studies of the behaviour and performance of METNet and METNetSig for several topologies compared to current ATLAS pTmiss reconstruction methods.
Measuring the electric dipole moment of the neutron: The cryoEDM experiment
Proceedings of Science EPS-HEP 2009 376