New Periodograms Separating Orbital Radial Velocities and Spectral Shape Variation
arXiv:2111.02383 · doi:10.1051/0004-6361/202141406
Abstract
We present new periodograms that are effective in distinguishing Doppler shift from spectral shape variability in astronomical spectra. These periodograms, building upon the concept of partial distance correlation, separate the periodic radial velocity modulation induced by orbital motion from that induced by stellar activity. These tools can be used to explore large spectroscopic databases in search of targets in which spectral shape variations obscure the orbital motion; such systems include active planet-hosting stars or binary systems with an intrinsically variable component. We provide a detailed prescription for calculating the periodograms, demonstrate their performance via simulations and real-life case studies, and provide a public Python implementation.
10 pages, 8 figures. A&A accepted
References in corpus (15)
- Array Programming with NumPy
- Measuring and testing dependence by correlation of distances
- The generalised Lomb-Scargle periodogram. A new formalism for the floating-mean and Keplerian periodograms
- Separating planetary reflex Doppler shifts from stellar variability in the wavelength domain
- Multiplicity of Galactic Cepheids and RR Lyrae stars from Gaia DR2 - I. Binarity from proper motion anomaly
- A transiting warm giant planet around the young active star TOI-201
- TESS observations of Cepheid stars: first light results
- Binary Properties from Cepheid Radial Velocities (CRaV)
- Multiplicity of Galactic Cepheids from long-baseline interferometry. IV. New detected companions from MIRC and PIONIER observations
- A vigorous activity cycle mimicking a planetary system in HD200466
- Cepheids with giant companions. I. Revealing a numerous population of double-lined binary Cepheids
- Probing Polaris' Puzzling Radial Velocity Signals - Pulsational (In-)Stability, Orbital Motion, and Bisector Variations
- USuRPER: Unit-Sphere Representation PERiodogram for full spectra
- Identifying Exoplanets with Deep Learning. IV. Removing Stellar Activity Signals from Radial Velocity Measurements Using Neural Networks
- Detection of Periodicity Based on Independence Tests - IV. Phase Distance Correlation Periodogram for Two-Dimensional Astrometry
Cited by in corpus (8)
- Gaia Data Release 3: Gaia scan-angle dependent signals and spurious periods
- Statistical methods for exoplanet detection with radial velocities
- SOAP-GPU: Efficient Spectral Modelling of Stellar Activity Using Graphical Processing Units
- Improving Earth-like planet detection in radial velocity using deep learning
- VELOcities of CEpheids (VELOCE) II. Systematic Search for Spectroscopic Binary Cepheids
- Adaptation of the Phase Distance Correlation Periodogram to Account for Measurement Uncertainties
- The VELOCE modulation zoo III. Detecting additional pulsation modes in optical spectra of classical Cepheids using semi-partial distance correlation periodograms
- Model Independent Periodogram for Scanning Astrometry