Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
By Kerstin Perez. 2014
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Subfields: AI for Physical Sciences
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- Deep Unsupervised Learning using Nonequilibrium Thermodynamics (2015, neutral): “…Langevin dynamics [23] which show how to define a Gaussian diffusion process which has any target distribution as its equilibrium; and the Kolmogorov forward and backward equations [7] which show that forward and reverse diffusion processes can be described using the same functional form.”
- Generative Moment Matching Networks (2015, neutral): “MacKay (1995) proposed a model that is closely related to ours, which also used a feed-forward network to map the prior samples to the data space.”
- Charged lepton flavor violation: An experimenter’s guide (2013, positive): “The calorimeter was an early use of the Shaslyk design as described in Atoyan et al. [1992].”
- Validated Explicit and Implicit Runge-Kutta Methods (2016, neutral): “Moreover, except for [25] and [28] which use Taylor models, Taylor series approaches provide validated result for small uncertainties on the initial values.”
- Resonant X-Ray Scattering Studies of Charge Order in Cuprates (2015, neutral): “The first concept of a two-circle diffractometer (with independent sample and detector rotations in the scattering plane) was pioneered already in the late 1980’s (84) and further advancements were realized throughout the 1990’s and early 2000’s at different facilities including Brookhaven National ”
- Determining the neutrino mass with cyclotron radiation emission spectroscopy-Project 8 (2017, positive): “An appropriate magnetic field geometry is a Ioffe trap like the one used to trap anti-hydrogen in the ALPHA experiment [25].”
- Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows (2018, neutral): “Such simulator models lend themselves naturally to modelling mechanistic processes such as particle collisions in high energy physics [1, 70], universe evolution in cosmology [2, 66], stochastic dynamical systems in ecology and evolutionary biology [63, 64, 82, 83], macroeconomic models in econometr”
- The major upgrade of the MAGIC telescopes, Part I: The hardware improvements and the commissioning of the system (2014, positive): “The structure reuires an automatic mirror control (AMC) to maintain the best posible optical point spread function at different zenith angles of obervations [7,8].”
- Solving ill-posed inverse problems using iterative deep neural networks (2017, neutral): “An example of such an approach for solving small scale tomographic reconstruction problems is given in [28, 4].”
- Waveform lidar over vegetation: An evaluation of inversion methods for estimating return energy (2015, neutral): “The fewer samples there are across a feature the more uncertain the location and reflectance of that feature (Landi, 2002).”
- Design and construction of the MicroBooNE detector (2016, positive): “The feedthrough is based on an ICARUS design [5]; a 2.”
- Measurement of neutrino and antineutrino oscillations by the T2K experiment including a new additional sample of nu(e) interactions at the far detector (2017, neutral): “The T2K far detector is Super-Kamiokande (SK) [74], a 50 kton water Cherenkov detector located in the Kamioka Observatory, Gifu, Japan.”
- Applications of laser wakefield accelerator-based light sources (2016, neutral): “Recent developments in X-ray imaging include detector improvements in resolution and sensitivity, energy resolution and monochromatic imaging and fast scanning techniques [184].”
- Lattice swelling and modulus change in a helium-implanted tungsten alloy: X-ray micro-diffraction, surface acoustic wave measurements, and multiscale modelling (2014, neutral): “[36] Hofmann F, Eve S, Belnoue J, Micha J-‐S, Korsunsky AM.”
- Sensitivity of the high altitude water Cherenkov detector to sources of multi-TeV gamma rays (2013, positive): “The air shower is modeled using CORSIKA [13] and the detector components are modeled with Geant4 [14].”
- A facility to Search for Hidden Particles (SHiP) at the CERN SPS (2015, neutral): “For the NA62 straw tracker the CARIOCA chip was used [131].”