6,039 research outputs found
Data Acquisition in the EUDET Project
The goal of the EUDET project is the development and construction of
infrastructure to permit detector R&D for the International Linear Collider
(ILC) with larger scale prototypes. It encompasses major detector components:
the vertex detector, the tracker and the calorimeters. We describe here the
status and plans of the project with emphasis on issues related to data
acquisition for future test beam experiments.Comment: 4 pages, 2 figures, to appear in the proceedings of Linear Collider
Workshop (LCWS06), Bangalore, Indi
Parameterized complexity of machine scheduling: 15 open problems
Machine scheduling problems are a long-time key domain of algorithms and
complexity research. A novel approach to machine scheduling problems are
fixed-parameter algorithms. To stimulate this thriving research direction, we
propose 15 open questions in this area whose resolution we expect to lead to
the discovery of new approaches and techniques both in scheduling and
parameterized complexity theory.Comment: Version accepted to Computers & Operations Researc
The TESLA Time Projection Chamber
A large Time Projection Chamber is proposed as part of the tracking system
for a detector at the TESLA electron positron linear collider. Different
ongoing R&D studies are reviewed, stressing progress made on a new type readout
technique based on Micro-Pattern Gas Detectors.Comment: 5 pages, 8 figures; Proceeding for the topical Seminar on Innovative
Particle and Radiation Detectors Siena, 21-24 October 2002; to appear in
Nucl.Phys. B (Proceedings Supplement
Basic Study of Synchronization in a Two Degree of Freedom, Duffing Based System
The issue of synchronization has been analyzed from many points of view since it was first
described in 17th century. Nowadays the theory that stands behind it is so developed,
it might be difficult to understand where it all comes from. This paper reminds the
key concepts of synchronization by examination of two coupled Duffing oscillators. It
describes also the origins of Duffing equation and proves its ability to behave chaotically
Uniqueness, intractability and exact algorithms: reflections on level-k phylogenetic networks
Phylogenetic networks provide a way to describe and visualize evolutionary
histories that have undergone so-called reticulate evolutionary events such as
recombination, hybridization or horizontal gene transfer. The level k of a
network determines how non-treelike the evolution can be, with level-0 networks
being trees. We study the problem of constructing level-k phylogenetic networks
from triplets, i.e. phylogenetic trees for three leaves (taxa). We give, for
each k, a level-k network that is uniquely defined by its triplets. We
demonstrate the applicability of this result by using it to prove that (1) for
all k of at least one it is NP-hard to construct a level-k network consistent
with all input triplets, and (2) for all k it is NP-hard to construct a level-k
network consistent with a maximum number of input triplets, even when the input
is dense. As a response to this intractability we give an exact algorithm for
constructing level-1 networks consistent with a maximum number of input
triplets
On Routing Disjoint Paths in Bounded Treewidth Graphs
We study the problem of routing on disjoint paths in bounded treewidth graphs
with both edge and node capacities. The input consists of a capacitated graph
and a collection of source-destination pairs . The goal is to maximize the number of pairs that
can be routed subject to the capacities in the graph. A routing of a subset
of the pairs is a collection of paths such that,
for each pair , there is a path in
connecting to . In the Maximum Edge Disjoint Paths (MaxEDP) problem,
the graph has capacities on the edges and a routing
is feasible if each edge is in at most of
the paths of . The Maximum Node Disjoint Paths (MaxNDP) problem is
the node-capacitated counterpart of MaxEDP.
In this paper we obtain an approximation for MaxEDP on graphs of
treewidth at most and a matching approximation for MaxNDP on graphs of
pathwidth at most . Our results build on and significantly improve the work
by Chekuri et al. [ICALP 2013] who obtained an approximation
for MaxEDP
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