Understanding the lomb–scargle periodogram
JT VanderPlas - The Astrophysical Journal Supplement Series, 2018 - iopscience.iop.org
Abstract The Lomb–Scargle periodogram is a well-known algorithm for detecting and
characterizing periodic signals in unevenly sampled data. This paper presents a conceptual …
characterizing periodic signals in unevenly sampled data. This paper presents a conceptual …
Computational intelligence challenges and applications on large-scale astronomical time series databases
Time-domain astronomy (TDA) is facing a paradigm shift caused by the exponential growth
of the sample size, data complexity and data generation rates of new astronomical sky …
of the sample size, data complexity and data generation rates of new astronomical sky …
[HTML][HTML] Review of X-ray pulsar spacecraft autonomous navigation
W Yidi, W Zheng, S Zhang, GE Minyu… - Chinese Journal of …, 2023 - Elsevier
This article provides a review on X-ray pulsar-based navigation (XNAV). The review starts
with the basic concept of XNAV, and briefly introduces the past, present and future projects …
with the basic concept of XNAV, and briefly introduces the past, present and future projects …
Causal recurrent variational autoencoder for medical time series generation
We propose causal recurrent variational autoencoder (CR-VAE), a novel generative model
that is able to learn a Granger causal graph from a multivariate time series x and …
that is able to learn a Granger causal graph from a multivariate time series x and …
Application of TQWT based filter-bank for sleep apnea screening using ECG signals
The sleep apnea is a disease in which there is the absence of airflow during respiration for
at least 10 s. It may occur several times during the night sleep. This disease can lead to …
at least 10 s. It may occur several times during the night sleep. This disease can lead to …
A comparison of period finding algorithms
This paper presents a comparison of popular period finding algorithms applied to the light
curves of variable stars from the Catalina Real-Time Transient Survey, MACHO and ASAS …
curves of variable stars from the Catalina Real-Time Transient Survey, MACHO and ASAS …
Using conditional entropy to identify periodicity
This paper presents a new period-finding method based on conditional entropy that is both
efficient and accurate. We demonstrate its applicability on simulated and real data. We find …
efficient and accurate. We demonstrate its applicability on simulated and real data. We find …
A ring accelerator? Unusual jet dynamics in the IceCube candidate PKS 1502+ 106
ABSTRACT On 2019/07/30.86853 ut, IceCube detected a high-energy astrophysical
neutrino candidate. The Flat Spectrum Radio Quasar PKS 1502+ 106 is located within the …
neutrino candidate. The Flat Spectrum Radio Quasar PKS 1502+ 106 is located within the …
Bayesian nonparametric spectral estimation
F Tobar - Advances in Neural Information Processing …, 2018 - proceedings.neurips.cc
Spectral estimation (SE) aims to identify how the energy of a signal (eg, a time series) is
distributed across different frequencies. This can become particularly challenging when only …
distributed across different frequencies. This can become particularly challenging when only …
Clustering-based feature learning on variable stars
The success of automatic classification of variable stars depends strongly on the lightcurve
representation. Usually, lightcurves are represented as a vector of many descriptors …
representation. Usually, lightcurves are represented as a vector of many descriptors …