Issue |
A&A
Volume 642, October 2020
|
|
---|---|---|
Article Number | A146 | |
Number of page(s) | 7 | |
Section | Numerical methods and codes | |
DOI | https://doi.org/10.1051/0004-6361/202039001 | |
Published online | 13 October 2020 |
USuRPER: Unit-sphere representation periodogram for full spectra
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, shayz@tauex.tau.ac.il
2
School of Physics and Astronomy, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv 6997801, Israel
e-mail: sahar.shahaf@gmail.com
Received:
22
July
2020
Accepted:
24
August
2020
We introduce an extension of the periodogram concept to time-resolved spectroscopy. USuRPER, the unit-sphere representation periodogram, is a novel technique that opens new horizons in the analysis of astronomical spectra. It can be used to detect a wide range of periodic variability of the spectrum shape. Essentially, the technique is based on representing spectra as unit vectors in a multidimensional hyperspace, hence its name. It is an extension of the phase-distance correlation periodogram we had introduced in previous papers, to very high-dimensional data such as spectra. USuRPER takes the overall shape of the spectrum into account, which means that it does not need to be reduced into a single quantity such as radial velocity or temperature. Through simulations, we demonstrate its performance in various types of spectroscopic variability: single-lined and double-lined spectroscopic binary stars, and pulsating stars. We also show its performance on actual data of a rapidly oscillating Ap star. USuRPER is a new tool to explore large time-resolved spectroscopic databases such as APOGEE, LAMOST, and the RVS spectra of Gaia. We have made a public GitHub repository with a Python implementation of USuRPER available to the community, to experiment with it and apply it to a wide range of spectroscopic time series.
Key words: methods: data analysis / methods: statistical / techniques: spectroscopic / binaries: spectroscopic / stars: oscillations / stars: individual: HD 115226
© ESO 2020
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