9,147 research outputs found
Research on Cascading Use of Waste Heat Technical Program in Heavy Oil Exploitation by SAGD Technology
AbstractIn Du 84 block Shu 1 area in Liaohe oilfield where used SAGD technology to exploit heavy oil, the temperature of wellhead produced fluid can reach up to 170-180Β°C, In view of this problem of wasting large amount of thermal energy, this paper proposes a set of technical program of cascading use of waste heat with the combination of generation of electrical energy and heating. Meanwhile, the generating capacity and heating area of the program as well as its economic efficiency are also calculated and analyzed. In addition, the parameters of generating system's condenser are optimized by taking the annual total cost of the condenser as the objective function and using majorized function fminsearch in MATLAB software, and the most superior technical parameters are determined. The result can offer some reference in using of waste heat in practical project
Possible Molecular Structure of the Newly Observed Y(4260)
We suggest that the newly observed resonance Y(4260) is a
molecule, which is an isovector. In this picture, we can easily interpret why
has a larger rate than which
has not been observed, and we also predict existence of the other two
components of the isotriplet and another two possible partner states which may
be observed in the future experiments. A direct consequence of this structure
is that for this molecular structure mode is more
favorable than which may have a larger fraction if
other proposed structures prevail.Comment: 5 pages, 2 figures. Some descriptions changed, more references added
and typos corrected. Published version in PR
Resolving Galactic binaries in LISA data using particle swarm optimization and cross-validation
The space-based gravitational wave detector Laser Interferometric Space Antenna is expected to observe signals from a large population of compact object binaries, comprised predominantly of white dwarfs, in the Milky Way. Resolving individual sources from this population against its self-generated confusion noise poses a major data analysis problem. We present an iterative source estimation and subtraction method to address this problem based on the use of particle swarm optimization (PSO). In addition to PSO, a novel feature of the method is the cross-validation of sources estimated from the same data using different signal parameter search ranges. This is found to greatly reduce contamination by spurious sources and may prove to be a useful addition to any multisource resolution method. Applied to a recent mock data challenge, the method is able to find O(104) Galactic binaries across a signal frequency range of [0.1, 15] mHz and, for frequency β³4ββmHz, reduces the residual data after subtracting out estimated signals to the instrumental noise level
Resolving Galactic binaries in LISA data using particle swarm optimization and cross-validation
The space-based gravitational wave (GW) detector LISA is expected to observe
signals from a large population of compact object binaries, comprised
predominantly of white dwarfs, in the Milky Way. Resolving individual sources
from this population against its self-generated confusion noise poses a major
data analysis problem. We present an iterative source estimation and
subtraction method to address this problem based on the use of particle swarm
optimization (PSO). In addition to PSO, a novel feature of the method is the
cross-validation of sources estimated from the same data using different signal
parameter search ranges. This is found to greatly reduce contamination by
spurious sources and may prove to be a useful addition to any multi-source
resolution method. Applied to a recent mock data challenge, the method is able
to find Galactic binaries across a signal frequency range of
mHz, and, for frequency mHz, reduces the residual data
after subtracting out estimated signals to the instrumental noise level.Comment: 17 pages, 11 figures; Accepted in Phys. Rev. D; Correct spellings of
author name
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