2,963 research outputs found
Three editions of the Star Catalogue of Tycho Brahe
Tycho Brahe completed his catalogue with the positions and magnitudes of 1004
fixed stars in 1598. This catalogue circulated in manuscript form. Brahe edited
a shorter version with 777 stars, printed in 1602, and Kepler edited the full
catalogue of 1004 stars, printed in 1627. We provide machine-readable versions
of the three versions of the catalogue, describe the differences between them
and briefly discuss their accuracy on the basis of comparison with modern data
from the Hipparcos Catalogue. We also compare our results with earlier analyses
by Dreyer (1916) and Rawlins (1993), finding good overall agreement. The
magnitudes given by Brahe correlate well with modern values, his longitudes and
latitudes have error distributions with widths of about 2 arcmin, with excess
numbers of stars with larger errors (as compared to Gaussian distributions), in
particular for the faintest stars. Errors in positions larger than 10 arcmin,
which comprise about 15 per cent of the entries, are likely due to computing or
copying errors.Comment: Accepted by Astronomy and Astrophysics; 24 pages; 63 figures; 3
machine readable tables made available at CD
No evidence for an early seventeenth-century Indian sighting of Keplers supernova (SN1604)
In a recent paper Sule et al. (Astronomical Notes, vol. 332 (2011), 655)
argued that an early 17th-century Indian mural of the constellation Sagittarius
with a dragon-headed tail indicated that the bright supernova of 1604 was also
sighted by Indian astronomers. In this paper it will be shown that this
identification is based on a misunderstanding of traditional Islamic
astrological iconography and that the claim that the mural represents an early
17th-century Indian sighting of the supernova of 1604 has to be rejected.Comment: 7 pages, 6 figures. To appear in Astronomical Notes, vol. 334, issue
5 (2013), DOI number 1172
The Star Catalogue of Hevelius
The catalogue by Johannes Hevelius with the positions and magnitudes of 1564
entries was published by his wife Elisabeth Koopman in 1690. We provide a
machine-readable version of the catalogue, and briefly discuss its accuracy on
the basis of comparison with data from the modern Hipparcos Catalogue. We
compare our results with an earlier analysis by Rybka (1984), finding good
overall agreement. The magnitudes given by Hevelius correlate well with modern
values. The accuracy of his position measurements is similar to that of Brahe,
with sigma=2 arcmin for with more errors larger than 5 arcmin than expected for
a Gaussian distribution. The position accuracy decreases slowly with magnitude.
The fraction of stars with position errors larger than a degree is 1.5 per
cent, rather smaller than the fraction of 5 per cent in the star catalogue of
Brahe.Comment: Accepted by Astronomy and Astrophysics; 23 pages; 62 figures; 1 table
made accessible via CD
Early star catalogues of the southern sky: De Houtman, Kepler (Second and Third Classes), and Halley
De Houtman in 1603, Kepler in 1627 and Halley in 1679 published the earliest
modern catalogues of the southern sky. We provide machine-readable versions of
these catalogues, make some comparisons between them, and briefly discuss their
accuracy on the basis of comparison with data from the modern Hipparcos
Catalogue. We also compare our results for De Houtman with those by Knobel
(1917) finding good overall agreement. About half of the about 200 new stars
(with respect to Ptolemaios) added by De Houtman are in twelve new
constellations, half in old constellations like Centaurus, Lupus and Argo. The
right ascensions and declinations given by De Houtman have error distributions
with widths of about 40 arcmin, the longitudes and latitudes given by Kepler
have error distributions with widths of about 45 arcmin. Halley improves on
this by more than an order of magnitude to widths of about 3 arcmin, and all
entries in his catalogue can be identified. The measurement errors of Halley
are due to a systematic deviation of his sextant (increasing with angle to 2
arcmin at 60 degrees) and random errors of 0.7 arcmin. The position errors in
the catalogue of Halley are dominated by the position errors in the reference
stars, which he took from Brahe.Comment: 26 pages, 58 figures. Tables will become available at CDS once the
article appears in Astronomy and Astrophysic
Number Partitioning on a Quantum Computer
We present an algorithm to compute the number of solutions of the
(constrained) number partitioning problem. A concrete implementation of the
algorithm on an Ising-type quantum computer is given.Comment: 5 pages, 1 figure, see also
http://rugth30.phys.rug.nl/compphys/qce.ht
Sputum Induction in Children Is Feasible and Useful in a Bustling General Hospital Practice
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The Jeroen Bosch Hospital funded this study.Peer reviewedPublisher PD
Ocean circulation and Tropical Variability in the Coupled Model ECHAM5/MPI-OM
This paper describes the mean ocean circulation and the tropical variability simulated by the Max Planck Institute for Meteorology (MPI-M) coupled atmosphere–ocean general circulation model (AOGCM). Results are presented from a version of the coupled model that served as a prototype for the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4) simulations. The model does not require flux adjustment to maintain a stable climate. A control simulation with present-day greenhouse gases is analyzed, and the simulation of key oceanic features, such as sea surface temperatures (SSTs), large-scale circulation, meridional heat and freshwater transports, and sea ice are compared with observations.
A parameterization that accounts for the effect of ocean currents on surface wind stress is implemented in the model. The largest impact of this parameterization is in the tropical Pacific, where the mean state is significantly improved: the strength of the trade winds and the associated equatorial upwelling weaken, and there is a reduction of the model’s equatorial cold SST bias by more than 1 K. Equatorial SST variability also becomes more realistic. The strength of the variability is reduced by about 30% in the eastern equatorial Pacific and the extension of SST variability into the warm pool is significantly reduced. The dominant El Niño–Southern Oscillation (ENSO) period shifts from 3 to 4 yr. Without the parameterization an unrealistically strong westward propagation of SST anomalies is simulated. The reasons for the changes in variability are linked to changes in both the mean state and to a reduction in atmospheric sensitivity to SST changes and oceanic sensitivity to wind anomalies
Optimization by Quantum Annealing: Lessons from hard 3-SAT cases
The Path Integral Monte Carlo simulated Quantum Annealing algorithm is
applied to the optimization of a large hard instance of the Random 3-SAT
Problem (N=10000). The dynamical behavior of the quantum and the classical
annealing are compared, showing important qualitative differences in the way of
exploring the complex energy landscape of the combinatorial optimization
problem. At variance with the results obtained for the Ising spin glass and for
the Traveling Salesman Problem, in the present case the linear-schedule Quantum
Annealing performance is definitely worse than Classical Annealing.
Nevertheless, a quantum cooling protocol based on field-cycling and able to
outperform standard classical simulated annealing over short time scales is
introduced.Comment: 10 pages, 6 figures, submitted to PR
Random Costs in Combinatorial Optimization
The random cost problem is the problem of finding the minimum in an
exponentially long list of random numbers. By definition, this problem cannot
be solved faster than by exhaustive search. It is shown that a classical
NP-hard optimization problem, number partitioning, is essentially equivalent to
the random cost problem. This explains the bad performance of heuristic
approaches to the number partitioning problem and allows us to calculate the
probability distributions of the optimum and sub-optimum costs.Comment: 4 pages, Revtex, 2 figures (eps), submitted to PR
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