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The Deep Space Network is NASA's international array of antennas that support interplanetary spacecraft missions. A track is a block of multi-dimensional time series from the beginning to end of DSN communication with the target spacecraft,…

Machine Learning · Computer Science 2021-11-03 Kyongsik Yun , Rishi Verma , Umaa Rebbapragada

Space-borne interferometric gravitational-wave detectors, sensitive in the low-frequency (mHz) band, will fly in the next decade. In these detectors, the spacecraft-to-spacecraft light-travel times will necessarily be unequal and…

General Relativity and Quantum Cosmology · Physics 2009-11-10 Massimo Tinto , Michele Vallisneri , J. W. Armstrong

Stellar activity features such as spots can create complications in determining planetary parameters through spectroscopic and photometric observations. The overlap of a transiting planet and a stellar spot, for instance, can produce…

Earth and Planetary Astrophysics · Physics 2013-10-31 M. Oshagh , N. C. Santos , I. Boisse , G. Boué , M. Montalto , X. Dumusque , N. Haghighipour

A persistent challenge in astronomical machine learning is a systematic bias where predictions compress the dynamic range of true values-high values are consistently predicted too low while low values are predicted too high. Understanding…

Instrumentation and Methods for Astrophysics · Physics 2025-07-17 Yuan-Sen Ting

In a quest towards an intelligent decision-making machine, the ability to make plausible predictions is the central pillar of its intelligence. A predicting algorithm's central idea is to understand the governing physical rules and make…

Instrumentation and Methods for Astrophysics · Physics 2021-01-01 Shashwat Singh , Ankul Prajapati , Kamlesh N Pathak

A binary system embedded in a Dark Matter (DM) background may experience a change in its orbital period due to dynamical friction as the binary moves through a wind of DM particles. We compute such a perturbative effect on the binary…

Astrophysics of Galaxies · Physics 2019-07-12 L. Gabriel Gómez

Deep neural networks (DNNs) are widely used in autonomous driving due to their high accuracy for perception, decision, and control. In safety-critical systems like autonomous driving, executing tasks like sensing and perception in real-time…

Machine Learning · Computer Science 2022-09-14 Liangkai Liu , Yanzhi Wang , Weisong Shi

The Pioneer 10/11 spacecraft yielded the most precise navigation in deep space to date. However, their radio-metric tracking data has consistently indicated the presence of a small, anomalous, Doppler frequency drift. The drift is a…

General Relativity and Quantum Cosmology · Physics 2009-11-11 Slava G. Turyshev , Michael Martin Nieto , John D. Anderson

We propose here an explanation of the Pioneer anomaly which is not in conflict with the cartography of the solar system. In our model, the spaceship does not suffer any extra acceleration but follows the trajectory predicted by standard…

General Relativity and Quantum Cosmology · Physics 2009-09-03 Antonio F. Ranada , Alfredo Tiemblo

The recent advances in Gravitational-wave astronomy have greatly accelerated the study of Multimessenger astrophysics. There is a need for the development of fast and efficient algorithms to detect non-astrophysical transients and noises…

Signal Processing · Electrical Eng. & Systems 2020-09-28 Rahul Nigam , Amit Mishra , Pranath Reddy

Upcoming galaxy surveys will allow us to probe the growth of the cosmic large-scale structure with improved sensitivity compared to current missions, and will also map larger areas of the sky. This means that in addition to the increased…

Cosmology and Nongalactic Astrophysics · Physics 2022-01-31 Matteo Martinelli , Roohi Dalal , Fereshteh Majidi , Yashar Akrami , Stefano Camera , Elena Sellentin

Astrometry - the precise measurement of celestial positions and motions - is entering the micro-arcsecond ($\mu$as) era at multiple wavelengths, enabling new insights on compact objects across all mass scales. Here we review how…

High Energy Astrophysical Phenomena · Physics 2026-05-21 P. Gandhi

This paper deals with the problem of astrometric determination of the orbital elements of the outer planets, in particular by assessing the ability of astrometric observations to detect perturbations of the sort expected from the Pioneer…

Earth and Planetary Astrophysics · Physics 2010-01-15 Gary L. Page , John F. Wallin , David S. Dixon

Fluctuations in ultralight dark matter produce significant metric perturbations, which may be detected by monitoring the arrival times of light from millisecond pulsars. While searches using this technique are already underway, they do not…

High Energy Physics - Phenomenology · Physics 2025-11-25 Kimberly K. Boddy , Jeff A. Dror , Austin Lam

A pulsar's pulse profile gets broadened at low frequencies due to dispersion along the line of sight or due to multi-path propagation. The dynamic nature of the interstellar medium makes both of these effects time-dependent and introduces…

Deep learning techniques are subject to increasing adoption for a wide range of micro-Doppler applications, where predictions need to be made based on time-frequency signal representations. Most, if not all, of the reported applications…

Signal Processing · Electrical Eng. & Systems 2024-04-25 Mikolaj Czerkawski , Christos Ilioudis , Carmine Clemente , Craig Michie , Ivan Andonovic , Christos Tachtatzis

We propose a method to account for the Earth oblateness effect in preliminary orbit determination of satellites in low orbits with radar observations. This method is an improvement of the one described in (Gronchi et al 2015), which uses a…

Space Physics · Physics 2018-10-24 Helene Ma , Giovanni F. Gronchi , Davide Bracali Cioci

Time-delay strong lensing provides a unique way to directly measure the Hubble constant ($H_{0}$). The precision of the $H_{0}$ measurement depends on the uncertainties in the time-delay measurements, the mass distribution of the main…

Ultralight dark matter induces time-dependent perturbations in the spacetime metric, enabling its gravitational direct detection. In this work, we propose using astrometry to detect dark matter. After reviewing the calculation of the metric…

High Energy Physics - Phenomenology · Physics 2025-08-06 Jeff A. Dror , Sarunas Verner

A concept of the ground-based optical astronomical observations efficiency is considered in this paper. We believe that a telescope efficiency can be increased by properly allocating observation tasks with respect to the current environment…

Instrumentation and Methods for Astrophysics · Physics 2018-06-26 Matwey V. Kornilov