2,439 research outputs found
An interpolated periodogram-based metric for comparison of time series with unequal lengths
We propose a periodogram-based metric for classification and clustering of time series with different sample sizes. For such cases, we know that the Euclidean distance between the periodogram ordinates cannot be used. One possible way to deal with this problem is to interpolate lineary one of the periodograms in order to estimate ordinates of the same frequencies.Classification; Cluster analysis; Interpolation; Periodogram; Time series
An interpolated periodogram-based metric for comparison of time series with unequal lengths
We propose a periodogram-based metric for classification and clustering of time series with different sample sizes. For such cases, we know that the Euclidean distance between the periodogram ordinates cannot be used. One possible way to deal with this problem is to interpolate lineary one of the periodograms in order to estimate ordinates of the same frequencies
An interpolated periodogram-based metric for comparison of time series with unequal lengths
We propose a periodogram-based metric for classification and clustering of time series with different sample sizes. For such cases, we know that the Euclidean distance between the periodogram ordinates cannot be used. One possible way to deal with this problem is to interpolate lineary one of the periodograms in order to estimate ordinates of the same frequencies
Period Estimation in Astronomical Time Series Using Slotted Correntropy
In this letter, we propose a method for period estimation in light curves
from periodic variable stars using correntropy. Light curves are astronomical
time series of stellar brightness over time, and are characterized as being
noisy and unevenly sampled. We propose to use slotted time lags in order to
estimate correntropy directly from irregularly sampled time series. A new
information theoretic metric is proposed for discriminating among the peaks of
the correntropy spectral density. The slotted correntropy method outperformed
slotted correlation, string length, VarTools (Lomb-Scargle periodogram and
Analysis of Variance), and SigSpec applications on a set of light curves drawn
from the MACHO survey
Discrete hierarchy of sizes and performances in the exchange-traded fund universe
Using detailed statistical analyses of the size distribution of a universe of
equity exchange-traded funds (ETFs), we discover a discrete hierarchy of sizes,
which imprints a log-periodic structure on the probability distribution of ETF
sizes that dominates the details of the asymptotic tail. This allows us to
propose a classification of the studied universe of ETFs into seven size layers
approximately organized according to a multiplicative ratio of 3.5 in their
total market capitalization. Introducing a similarity metric generalising the
Herfindhal index, we find that the largest ETFs exhibit a significantly
stronger intra-layer and inter-layer similarity compared with the smaller ETFs.
Comparing the performance across the seven discerned ETF size layers, we find
an inverse size effect, namely large ETFs perform significantly better than the
small ones both in 2014 and 2015
Detections and Constraints on White Dwarf Variability from Time-Series GALEX Observations
We search for photometric variability in more than 23,000 known and candidate
white dwarfs, the largest ultraviolet survey compiled for a single study of
white dwarfs. We use gPhoton, a publicly available calibration/reduction
pipeline, to generate time-series photometry of white dwarfs observed by GALEX.
By implementing a system of weighted metrics, we select sources with
variability due to pulsations and eclipses. Although GALEX observations have
short baselines (< 30 min), we identify intrinsic variability in sources as
faint as Gaia G = 20 mag. With our ranking algorithm, we identify 49 new
variable white dwarfs (WDs) in archival GALEX observations. We detect 41 new
pulsators: 37 have hydrogen-dominated atmospheres (DAVs), including one
possible massive DAV, and four are helium-dominated pulsators (DBVs). We also
detect eight new eclipsing systems; five are new discoveries, and three were
previously known spectroscopic binaries. We perform synthetic injections of the
light curve of WD 1145+017, a system with known transiting debris, to test our
ability to recover similar systems. We find that the 3{\sigma} maximum
occurrence rate of WD 1145+017-like transiting objects is < 0.5%.Comment: 17 pages, 13 figure
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