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Low mass X-ray binaries, which contain neutron stars, provide a number of methods to constrain the stellar parameters.
This model uses the Bayesian analysis and Monte Carlo methods to constrain the smoothing age depth model using the R statistical software package (cf., De Vleeschouwer et al. 2012; Shanahan et al. 2012).
This study introduced new methods to constrain the temporal and geographic distribution of volcanic ash deposition at distances > 1000 km from a volcano, at or below the visible limit for deposition.
We used X-ray CT images, digital radiographs, and fracture casts as independent methods to constrain the resulting architecture of the evolved fracture porosity, and developed a simple process-based model to examine the relative roles of asperity removal and free-face dissolution.
We simulated the distribution of crabs in an area and repeatedly sampled from the area using a range of true values of catchability and four methods to constrain the sampling area: perfect knowledge, buoy deployment, high-accuracy GPS, and consumer-grade GPS.
To do this suitable proxies are required using multiple methods to constrain inevitable uncertainties.
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Also, we present an efficient method to constrain horizontal wells to preset minimum well spacing constraints.
Here, we propose a method to constrain the growth of yeast colonies into simple geometric shapes such as cylinders.
For this, we used a double-difference relocation method to constrain high-resolution hypocenter locations by cross-correlation differential times as well as the NIED Hi-net catalog differential times.
We have developed a new method to constrain the intrinsic three-dimensional shape of galaxy clusters using combined Sunyaev Zel'dovich effect and X-ray observations.
Based on the special model, a frequency equation to predict the frequency variation at both the targeted and off-target modes due to inserting a resonator into the enclosure is provided, and a method to constrain the worsened noise level at off-target modes is also discussed.
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