8 research outputs found
Multivariate discrimination in quantum target detection
We describe a simple multivariate technique of likelihood ratios for improved discrimination of signal and background in multi-dimensional quantum target detection. The technique combines two independent variables, time difference and summed energy, of a photon pair from the spontaneous parametric downconversion source into an optimal discriminant. The discriminant performance was studied using experimental data and Monte Carlo modeling with clear improvement shown compared to previous techniques. As novel detectors become available, we expect this type of multivariate analysis to become increasingly important in multi-dimensional quantum optics
Angle-dependent strong-field ionization and fragmentation of carbon dioxide measured using rotational wave packets
In this work, we experimentally study the angle-dependent single ionization of carbon
dioxide (CO2) by linearly and circularly polarized pulses. The angle dependence of the ionization probability by linearly polarized pulses extracted from time-domain measurements on an impulsively excited rotational wave packet is compared with data obtained from a direct angle-scan measurement. The results from the measurement with linear and circular polarization are consistent with the adiabatic ionization approximation. We extend the time-domain method to extract the dependence of the asymptotic momentum distribution of fragment ions on the orientation of the molecular axis, and apply it to investigate dissociative double ionization of CO2. We show that such measurements can directly test the validity of the axial recoil approximation
Biology of the Invasive Banded Elm Bark Beetle (Coleoptera: Scolytidae) in the Western United States
The LHCb VELO Upgrade module construction
Abstract
The LHCb detector has undergone a major upgrade for LHC
Run 3. This Upgrade I detector facilitates operation at higher
luminosity and utilises full-detector information at the LHC
collision rate, critically including the use of vertex
information. A new vertex locator system, the VELO Upgrade, has been
constructed. The core element of the new VELO are the double-sided
pixelated hybrid silicon detector modules which operate in vacuum
close to the LHC beam in a high radiation environment. The
construction and quality assurance tests of these modules are
described in this paper. The modules incorporate
200 μm thick, n-on-p silicon sensors bump-bonded to
130 nm technology ASICs. These are attached with high precision to
a silicon microchannel substrate that uses evaporative CO2
cooling. The ASICs are controlled and read out with flexible printed
circuits that are glued to the substrate and wire-bonded to the
chips. The mechanical support of the module is given by a carbon
fibre plate, two carbon fibre rods and an aluminium plate. The
sensor attachment was achieved with an average precision of
21 μm, more than 99.5% of all pixels are fully
functional, and a thermal figure of merit of
3 Kcm2W-1 was achieved. The production of the
modules was successfully completed in 2021, with the final assembly
and installation completed in time for data taking in 2022.</jats:p