3,360 research outputs found
Revealing Compressed Stops Using High-Momentum Recoils
Searches for supersymmetric top quarks at the LHC have been making great
progress in pushing sensitivity out to higher mass, but are famously plagued by
gaps in coverage around lower-mass regions where the decay phase space is
closing off. Within the common stop-NLSP / neutralino-LSP simplified model, the
line in the mass plane where there is just enough phase space to produce an
on-shell top quark remains almost completely unconstrained. Here, we show that
is possible to define searches capable of probing a large patch of this
difficult region, with S/B ~ 1 and significances often well beyond 5 sigma. The
basic strategy is to leverage the large energy gain of LHC Run 2, leading to a
sizable population of stop pair events recoiling against a hard jet. The recoil
not only re-establishes a MET signature, but also leads to a distinctive
anti-correlation between the MET and the recoil jet transverse vectors when the
stops decay all-hadronically. Accounting for jet combinatorics, backgrounds,
and imperfections in MET measurements, we estimate that Run 2 will already
start to close the gap in exclusion sensitivity with the first few 10s of
inverse-fb. By 300/fb, exclusion sensitivity may extend from stop masses of 550
GeV on the high side down to below 200 GeV on the low side, approaching the
"stealth" point at m(stop) = m(top) and potentially overlapping with limits
from top pair cross section and spin correlation measurements.Comment: 17 pages, 6 figure
System dynamic simulation of precision segmented reflector
A joint effort was undertaken on a Precision Segmented Reflector (PSR) Project. The missions in which the PSR is to be used will use large (up to 20 m in diameter) telescopes. The essential requirement for the telescopes is that the reflector surface of the primary mirror must be made extremely precise to allow no more than a few microns of errors and, additionally, this high surface precision must be maintained when the telescope is subjected to on-orbital mechanical and thermal disturbances. Based on the mass, size, and stability considerations, reflector surface formed by segmented, probably actively or passively controlled, composite panels are regarded as most suitable for future space based astronomical telescope applications. In addition to the design and fabrication of composite panels with a surface error of less than 3 microns RMS, PSR also develops related reflector structures, materials, control, and sensing technologies. As part of the planning effort for PSR Technology Demonstration, a system model which couples the reflector, consisting of panels, support truss and actuators, and the optical bench was assembled for dynamic simulations. Random vibration analyses using seismic data obtained from actual measurements at the test site designated for PSR Technology Demonstration are described
Distributed Low-rank Subspace Segmentation
Vision problems ranging from image clustering to motion segmentation to
semi-supervised learning can naturally be framed as subspace segmentation
problems, in which one aims to recover multiple low-dimensional subspaces from
noisy and corrupted input data. Low-Rank Representation (LRR), a convex
formulation of the subspace segmentation problem, is provably and empirically
accurate on small problems but does not scale to the massive sizes of modern
vision datasets. Moreover, past work aimed at scaling up low-rank matrix
factorization is not applicable to LRR given its non-decomposable constraints.
In this work, we propose a novel divide-and-conquer algorithm for large-scale
subspace segmentation that can cope with LRR's non-decomposable constraints and
maintains LRR's strong recovery guarantees. This has immediate implications for
the scalability of subspace segmentation, which we demonstrate on a benchmark
face recognition dataset and in simulations. We then introduce novel
applications of LRR-based subspace segmentation to large-scale semi-supervised
learning for multimedia event detection, concept detection, and image tagging.
In each case, we obtain state-of-the-art results and order-of-magnitude speed
ups
Atomtronics with a spin: statistics of spin transport and non-equilibrium orthogonality catastrophe in cold quantum gases
We propose to investigate the full counting statistics of nonequilibrium spin
transport with an ultracold atomic quantum gas. The setup makes use of the spin
control available in atomic systems to generate spin transport induced by an
impurity atom immersed in a spin-imbalanced two-component Fermi gas. In
contrast to solid-state realizations, in ultracold atoms spin relaxation and
the decoherence from external sources is largely suppressed. As a consequence,
once the spin current is turned off by manipulating the internal spin degrees
of freedom of the Fermi system, the nonequilibrium spin population remains
constant. Thus one can directly count the number of spins in each reservoir to
investigate the full counting statistics of spin flips, which is notoriously
challenging in solid state devices. Moreover, using Ramsey interferometry, the
dynamical impurity response can be measured. Since the impurity interacts with
a many-body environment that is out of equilibrium, our setup provides a way to
realize the non-equilibrium orthogonality catastrophe. Here, even for spin
reservoirs initially prepared in a zero-temperature state, the Ramsey response
exhibits an exponential decay, which is in contrast to the conventional
power-law decay of Anderson's orthogonality catastrophe. By mapping our system
to a multi-step Fermi sea, we are able to derive analytical expressions for the
impurity response at late times. This allows us to reveal an intimate
connection of the decay rate of the Ramsey contrast and the full counting
statistics of spin flips.Comment: 9+11 pages, 10 figure
Quantitative Robustness Analysis of Quantum Programs (Extended Version)
Quantum computation is a topic of significant recent interest, with practical
advances coming from both research and industry. A major challenge in quantum
programming is dealing with errors (quantum noise) during execution. Because
quantum resources (e.g., qubits) are scarce, classical error correction
techniques applied at the level of the architecture are currently
cost-prohibitive. But while this reality means that quantum programs are almost
certain to have errors, there as yet exists no principled means to reason about
erroneous behavior. This paper attempts to fill this gap by developing a
semantics for erroneous quantum while-programs, as well as a logic for
reasoning about them. This logic permits proving a property we have identified,
called -robustness, which characterizes possible "distance" between
an ideal program and an erroneous one. We have proved the logic sound, and
showed its utility on several case studies, notably: (1) analyzing the
robustness of noisy versions of the quantum Bernoulli factory (QBF) and quantum
walk (QW); (2) demonstrating the (in)effectiveness of different error
correction schemes on single-qubit errors; and (3) analyzing the robustness of
a fault-tolerant version of QBF.Comment: 34 pages, LaTeX; v2: fixed typo
Health-Related Quality of Life after Cystectomy and Urinary Diversion for Bladder Cancer
With multiple options for urinary diversion after radical cystectomy for bladder cancer that have comparable cancer control and complication rates, health-related quality of life (HRQOL) has become an important consideration. This article reviews the methods for defining HRQOL, the challenges in measuring HRQOL in bladder cancer, and the literature comparing HRQOL after various methods of urinary diversion. Recent contributions include the validation of HRQOL instruments specific to bladder cancer and the publication of several prospective studies measuring HRQOL outcomes after cystectomy and urinary diversion. There is no convincing evidence from existing literature that any particular method of urinary diversion offers superior HRQOL outcomes. Rather, there is growing evidence that good HRQOL can be achieved with patient education and consideration of each patient's clinical and psychosocial situation. Future research should utilize the validated bladder cancer specific HRQOL instruments and perhaps explore the impact of preoperative counseling on postoperative HRQOL
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