| Issue |
A&A
Volume 675, July 2023
|
|
|---|---|---|
| Article Number | A124 | |
| Number of page(s) | 7 | |
| Section | Numerical methods and codes | |
| DOI | https://doi.org/10.1051/0004-6361/202245803 | |
| Published online | 11 July 2023 | |
Model-independent periodogram for scanning astrometry
1
Porter School of the Environment and Earth Sciences, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University,
Tel Aviv
6997801, Israel
e-mail: avrahambinn@gmail.com
2
Department of Particle Physics and Astrophysics, Weizmann Institute of Science,
Rehovot
7610001, Israel
Received:
27
December
2022
Accepted:
6
June
2023
We present a new periodogram for the periodicity detection in one-dimensional time-series data from scanning astrometry space missions such as HIPPARCOS or Gaia. The periodogram is non-parametric and does not rely on a full or approximate orbital solution. Since no specific properties of the periodic signal are assumed, the method is expected to be suitable for the detection of various types of periodic phenomena, from highly eccentric orbits to periodic variability-induced movers. The periodogram is an extension of the phase-distance correlation periodogram we introduced in previous papers based on the statistical concept of distance correlation. We demonstrate the performance of the periodogram using publicly available HIPPARCOS data, as well as simulated data. We also discuss its applicability for Gaia epoch astrometry that is to be published in the future data release 4.
Key words: methods: data analysis / methods: statistical / astrometry / binaries: general / planets and satellites: detection
© The Authors 2023
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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