11,587 research outputs found
Optimized Blind Gamma-ray Pulsar Searches at Fixed Computing Budget
The sensitivity of blind gamma-ray pulsar searches in multiple years worth of
photon data, as from the Fermi LAT, is primarily limited by the finite
computational resources available. Addressing this "needle in a haystack"
problem, we here present methods for optimizing blind searches to achieve the
highest sensitivity at fixed computing cost. For both coherent and semicoherent
methods, we consider their statistical properties and study their search
sensitivity under computational constraints. The results validate a multistage
strategy, where the first stage scans the entire parameter space using an
efficient semicoherent method and promising candidates are then refined through
a fully coherent analysis. We also find that for the first stage of a blind
search incoherent harmonic summing of powers is not worthwhile at fixed
computing cost for typical gamma-ray pulsars. Further enhancing sensitivity, we
present efficiency-improved interpolation techniques for the semicoherent
search stage. Via realistic simulations we demonstrate that overall these
optimizations can significantly lower the minimum detectable pulsed fraction by
almost 50% at the same computational expense.Comment: 22 pages, 13 figures; includes ApJ proof correction
Search method for long-duration gravitational-wave transients from neutron stars
We introduce a search method for a new class of gravitational-wave signals,
namely long-duration O(hours - weeks) transients from spinning neutron stars.
We discuss the astrophysical motivation from glitch relaxation models and we
derive a rough estimate for the maximal expected signal strength based on the
superfluid excess rotational energy. The transient signal model considered here
extends the traditional class of infinite-duration continuous-wave signals by a
finite start-time and duration. We derive a multi-detector Bayes factor for
these signals in Gaussian noise using \F-statistic amplitude priors, which
simplifies the detection statistic and allows for an efficient implementation.
We consider both a fully coherent statistic, which is computationally limited
to directed searches for known pulsars, and a cheaper semi-coherent variant,
suitable for wide parameter-space searches for transients from unknown neutron
stars. We have tested our method by Monte-Carlo simulation, and we find that it
outperforms orthodox maximum-likelihood approaches both in sensitivity and in
parameter-estimation quality.Comment: 20 pages, 9 figures; submitted to PR
A two-dimensional Kolmogorov-Smirnov test for crowded field source detection: ROSAT sources in NGC 6397
We present a two-dimensional version of the classical one-dimensional
Kolmogorov-Smirnov (K-S) test, extending an earlier idea due to Peacock (1983)
and an implementation proposed by Fasano & Franceschini (1987). The
two-dimensional K-S test is used to optimise the goodness of fit in an
iterative source-detection scheme for astronomical images. The method is
applied to a ROSAT/HRI x-ray image of the post core-collapse globular cluster
NGC 6397 to determine the most probable source distribution in the cluster
core. Comparisons to other widely-used source detection methods, and to a
Chandra image of the same field, show that our iteration scheme is superior in
measuring statistics-limited sources in severely crowded fields.Comment: 12 pages, 6 figures, 6 tables. Accepted by MNRA
Resampling to accelerate cross-correlation searches for continuous gravitational waves from binary systems
Continuous-wave (CW) gravitational waves (GWs) call for
computationally-intensive methods. Low signal-to-noise ratio signals need
templated searches with long coherent integration times and thus fine
parameter-space resolution. Longer integration increases sensitivity. Low-mass
x-ray binaries (LMXBs) such as Scorpius X-1 (Sco X-1) may emit accretion-driven
CWs at strains reachable by current ground-based observatories. Binary orbital
parameters induce phase modulation. This paper describes how resampling
corrects binary and detector motion, yielding source-frame time series used for
cross-correlation. Compared to the previous, detector-frame, templated
cross-correlation method, used for Sco X-1 on data from the first Advanced LIGO
observing run (O1), resampling is about 20x faster in the costliest,
most-sensitive frequency bands. Speed-up factors depend on integration time and
search setup. The speed could be reinvested into longer integration with a
forecast sensitivity gain, 20 to 125 Hz median, of approximately 51%, or from
20 to 250 Hz, 11%, given the same per-band cost and setup. This paper's timing
model enables future setup optimization. Resampling scales well with longer
integration, and at 10x unoptimized cost could reach respectively 2.83x and
2.75x median sensitivities, limited by spin-wandering. Then an O1 search could
yield a marginalized-polarization upper limit reaching torque-balance at 100
Hz. Frequencies from 40 to 140 Hz might be probed in equal observing time with
2x improved detectors.Comment: 28 pages, 7 figures, 3 table
Astrometry and geodesy with radio interferometry: experiments, models, results
Summarizes current status of radio interferometry at radio frequencies
between Earth-based receivers, for astrometric and geodetic applications.
Emphasizes theoretical models of VLBI observables that are required to extract
results at the present accuracy levels of 1 cm and 1 nanoradian. Highlights the
achievements of VLBI during the past two decades in reference frames, Earth
orientation, atmospheric effects on microwave propagation, and relativity.Comment: 83 pages, 19 Postscript figures. To be published in Rev. Mod. Phys.,
Vol. 70, Oct. 199
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