202 research outputs found
Noms vernaculaires et usages traditionnels de quelques coquillages des Marquises
LavondÚs Henri, Richard Georges, Salvat Bernard. Noms vernaculaires et usages traditionnels de quelques coquillages des Marquises. In: Journal de la Société des océanistes, n°39, tome 29, 1973. pp. 121-137
Fast Monte Carlo Simulation for Patient-specific CT/CBCT Imaging Dose Calculation
Recently, X-ray imaging dose from computed tomography (CT) or cone beam CT
(CBCT) scans has become a serious concern. Patient-specific imaging dose
calculation has been proposed for the purpose of dose management. While Monte
Carlo (MC) dose calculation can be quite accurate for this purpose, it suffers
from low computational efficiency. In response to this problem, we have
successfully developed a MC dose calculation package, gCTD, on GPU architecture
under the NVIDIA CUDA platform for fast and accurate estimation of the x-ray
imaging dose received by a patient during a CT or CBCT scan. Techniques have
been developed particularly for the GPU architecture to achieve high
computational efficiency. Dose calculations using CBCT scanning geometry in a
homogeneous water phantom and a heterogeneous Zubal head phantom have shown
good agreement between gCTD and EGSnrc, indicating the accuracy of our code. In
terms of improved efficiency, it is found that gCTD attains a speed-up of ~400
times in the homogeneous water phantom and ~76.6 times in the Zubal phantom
compared to EGSnrc. As for absolute computation time, imaging dose calculation
for the Zubal phantom can be accomplished in ~17 sec with the average relative
standard deviation of 0.4%. Though our gCTD code has been developed and tested
in the context of CBCT scans, with simple modification of geometry it can be
used for assessing imaging dose in CT scans as well.Comment: 18 pages, 7 figures, and 1 tabl
Development of a GPU-based Monte Carlo dose calculation code for coupled electron-photon transport
Monte Carlo simulation is the most accurate method for absorbed dose
calculations in radiotherapy. Its efficiency still requires improvement for
routine clinical applications, especially for online adaptive radiotherapy. In
this paper, we report our recent development on a GPU-based Monte Carlo dose
calculation code for coupled electron-photon transport. We have implemented the
Dose Planning Method (DPM) Monte Carlo dose calculation package (Sempau et al,
Phys. Med. Biol., 45(2000)2263-2291) on GPU architecture under CUDA platform.
The implementation has been tested with respect to the original sequential DPM
code on CPU in phantoms with water-lung-water or water-bone-water slab
geometry. A 20 MeV mono-energetic electron point source or a 6 MV photon point
source is used in our validation. The results demonstrate adequate accuracy of
our GPU implementation for both electron and photon beams in radiotherapy
energy range. Speed up factors of about 5.0 ~ 6.6 times have been observed,
using an NVIDIA Tesla C1060 GPU card against a 2.27GHz Intel Xeon CPU
processor.Comment: 13 pages, 3 figures, and 1 table. Paper revised. Figures update
New result for the neutron -asymmetry parameter from UCNA
The neutron -decay asymmetry parameter defines the correlation
between the spin of the neutron and the momentum of the emitted electron, which
determines , the ratio of the axial-vector to
vector weak coupling constants. The UCNA Experiment, located at the Ultracold
Neutron facility at the Los Alamos Neutron Science Center, is the first to
measure such a correlation coefficient using ultracold neutrons (UCN).
Following improvements to the systematic uncertainties and increased
statistics, we report the new result which yields . Combination with the previous UCNA result and
accounting for correlated systematic uncertainties produces
and .Comment: 9 pages, 7 figures, updated to as-published versio
Search for neutron dark decay: nâââÏâ+âeâșeâ»
In January, 2018, Fornal and Grinstein proposed that a previously unobserved neutron decay branch to a dark matter particle (Ï) could account for the discrepancy in the neutron lifetime observed in two different types of experiments. One of the possible final states discussed includes a single Ï along with an eâșeâ» pair. We use data from the UCNA (Ultracold Neutron Asymmetry) experiment to set limits on this decay channel. Coincident electron-like events are detected with ⌠4Ï acceptance using a pair of detectors that observe a volume of stored Ultracold Neutrons (UCNs). We use the timing information of coincidence events to select candidate dark sector particle decays by applying a timing calibration and selecting events within a physically-forbidden timing region for conventional n â p + eâ» + ÎœÌ
_e decays. The summed kinetic energy (E_(eâșeâ»)) from such events is reconstructed and used to set limits, as a function of the Ï mass, on the branching fraction for this decay channel
The Standard Model in Strong Fields: Electroweak Radiative Corrections for Highly Charged Ions
Electroweak radiative corrections to the matrix elements are calculated for highly charged hydrogenlike ions. These
matrix elements constitute the basis for the description of the most parity
nonconserving (PNC) processes in atomic physics. The operator
represents the parity nonconserving relativistic effective atomic Hamiltonian
at the tree level. The deviation of these calculations from the calculations
valid for the momentum transfer demonstrates the effect of the strong
field, characterized by the momentum transfer ( is the
electron mass). This allows for a test of the Standard Model in the presence of
strong fields in experiments with highly charged ions.Comment: 27 LaTex page
Final results for the neutron ÎČ-asymmetry parameter Aâ from the UCNA experiment
The UCNA experiment was designed to measure the neutron ÎČ-asymmetry parameter A0 using polarized ultracold neutrons (UCN). UCN produced via downscattering in solid deuterium were polarized via transport through a 7âT magnetic field, and then directed to a 1âT solenoidal electron spectrometer, where the decay electrons were detected in electron detector packages located on the two ends of the spectrometer. A value for A0 was then extracted from the asymmetry in the numbers of counts in the two detector packages. We summarize all of the results from the UCNA experiment, obtained during run periods in 2007, 2008â2009, 2010, and 2011â2013, which ultimately culminated in a 0.67% precision result for Aâ
GPU-based fast Monte Carlo simulation for radiotherapy dose calculation
Monte Carlo (MC) simulation is commonly considered to be the most accurate
dose calculation method in radiotherapy. However, its efficiency still requires
improvement for many routine clinical applications. In this paper, we present
our recent progress towards the development a GPU-based MC dose calculation
package, gDPM v2.0. It utilizes the parallel computation ability of a GPU to
achieve high efficiency, while maintaining the same particle transport physics
as in the original DPM code and hence the same level of simulation accuracy. In
GPU computing, divergence of execution paths between threads can considerably
reduce the efficiency. Since photons and electrons undergo different physics
and hence attain different execution paths, we use a simulation scheme where
photon transport and electron transport are separated to partially relieve the
thread divergence issue. High performance random number generator and hardware
linear interpolation are also utilized. We have also developed various
components to handle fluence map and linac geometry, so that gDPM can be used
to compute dose distributions for realistic IMRT or VMAT treatment plans. Our
gDPM package is tested for its accuracy and efficiency in both phantoms and
realistic patient cases. In all cases, the average relative uncertainties are
less than 1%. A statistical t-test is performed and the dose difference between
the CPU and the GPU results is found not statistically significant in over 96%
of the high dose region and over 97% of the entire region. Speed up factors of
69.1 ~ 87.2 have been observed using an NVIDIA Tesla C2050 GPU card against a
2.27GHz Intel Xeon CPU processor. For realistic IMRT and VMAT plans, MC dose
calculation can be completed with less than 1% standard deviation in 36.1~39.6
sec using gDPM.Comment: 18 pages, 5 figures, and 3 table
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