64 research outputs found
Efficiency of gratings for silica fiber-coupled internal Smith-Purcell radiation and Cherenkov diffraction radiation -- a quantitative numerical study
We propose a setup for measuring visible and near-visible internal
Smith-Purcell radiation and Cherenkov Diffraction Radiation, based on silica
and silicon, and perform quantitative numerical analysis of its radiation
efficiency. We calculate the total radiated energy per electron and the
spectral distribution of different radiation orders, taking into account
material dispersion and absorption. For an optimized silica grating of 200
micrometer length, the total radiated energy reaches 2~eV per electron for 2
MeV electrons. Above the Cherenkov threshold, in most cases the energy of
Cherenkov diffraction radiation is several times higher than the energy of
internal Smith-Purcell radiation, but for some geometries and frequency ranges
first or second order radiation may dominate over Cherenkov radiation (zeroth
order). Radiation up to the 4th order is detected in the simulation. The
spectrum of Cherenkov radiation is highly resonant, with local minima for
frequencies where maxima of the other radiation orders occur. The spectrum of
Cherenkov radiation takes a frequency comb-like shape for a uniform layer of Si
on SiO2 substrate, due to a Fabry-Perot effect occurring for the evanescent
field of the moving electron. The proposed setup could become a prototype of a
non-invasive particle beam monitor for both conventional and laser particle
accelerators
Movement variability in stroke patients and controls performing two upper limb functional tasks: a new assessment methodology
Background: In the evaluation of upper limb impairment post stroke there remains a gap between detailed kinematic analyses with expensive motion capturing systems and common clinical assessment tests. In particular, although many clinical tests evaluate the performance of functional
tasks, metrics to characterise upper limb kinematics are generally not applicable to such tasks and very limited in scope. This paper reports on a novel, user-friendly methodology that allows for the assessment of both signal magnitude and timing variability in upper limb movement trajectories during functional task performance. In order to demonstrate the technique, we report on a study
in which the variability in timing and signal magnitude of data collected during the performance of two functional tasks is compared between a group of subjects with stroke and a group of individually matched control subjects.
Methods: We employ dynamic time warping for curve registration to quantify two aspects of movement variability: 1) variability of the timing of the accelerometer signals' characteristics and 2) variability of the signals' magnitude. Six stroke patients and six matched controls performed several trials of a unilateral ('drinking') and a bilateral ('moving a plate') functional task on two different days, approximately 1 month apart. Group differences for the two variability metrics were investigated on both days.
Results: For 'drinking from a glass' significant group differences were obtained on both days for
the timing variability of the acceleration signals' characteristics (p = 0.002 and p = 0.008 for test and
retest, respectively); all stroke patients showed increased signal timing variability as compared to
their corresponding control subject. 'Moving a plate' provided less distinct group differences.
Conclusion: This initial application establishes that movement variability metrics, as determined
by our methodology, appear different in stroke patients as compared to matched controls during unilateral task performance ('drinking'). Use of a user-friendly, inexpensive accelerometer makes this methodology feasible for routine clinical evaluations. We are encouraged to perform larger studies to further investigate the metrics' usefulness when quantifying levels of impairment
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