Cataclysmic variables from Gaia XP spectra: The Gaia emission-line magnitude (GEM) diagram
Ilkham Galiullin, Vladislav Dodon, Antonio C. Rodriguez, Askar Sibgatullin
astro-ph.SR, astro-ph.GA, astro-ph.HE
Submitted: 2026-07-30
Comments: 17 pages, 10 figures, 1 table. Submitted to OJAp
Code: https://github.com/jobovy/mwdust
Project page: https://gaia-dpci.github.io/GaiaXPy-website/3
License: http://creativecommons.org/licenses/by/4.0/
The gist: Gaia DR3 opens a new window for the census of Galactic stellar populations in all-sky surveys, specifically for identifying cataclysmic variables (CVs).
Terminology
Abstract
Gaia DR3 opens a new window for the census of Galactic stellar populations in all-sky surveys, specifically for identifying cataclysmic variables (CVs). While the majority of CVs are distributed below the main sequence on the Gaia HR diagram, identifying them among dominant background stellar populations remains a significant challenge. Here, we present the Gaia Emission-line Magnitude (GEM) diagram - a tool designed to isolate CV candidates from background stars located below the main sequence. Using Gaia photometric data and low-resolution BP/RP (XP) spectra, we construct the GEM diagram by plotting the extinction-corrected absolute magnitude (M G0) against the pseudo-equivalent width of the H alpha line (pgEW H alpha), which is computed via a Gaussian line-profile approximation. We find that known CVs and major stellar background populations, including white dwarfs, hot subdwarfs, and white dwarf-main sequence binaries, occupy distinct regions on the GEM diagram, reflecting both their physical properties and the low-resolution nature of the Gaia XP spectra. We define an empirical selection line on the GEM diagram to separate true H alpha-emitting CVs from background contaminants. As a proof of concept, we apply the GEM diagram to a Gaia volume-limited sample within 250 pc (G<17.5 mag) distributed below the main sequence, recovering known CVs. Additionally, we identify three new CV candidates whose accreting nature is supported by archival X-ray data and optical variability. Compared to traditional optical color-based selection techniques, the GEM diagram uses Gaia's low-resolution spectra for initial target identification in all-sky surveys. This provides a more reliable framework for the statistical selection of CV candidates prior to ground-based spectroscopic follow-up and can be scaled to future Gaia data releases to map Galactic emission-line star populations.
Sources
- X-ray Emissions from Accreting White Dwarfs: a Review
- Accreting White Dwarfs: An Unreview
- Cataclysmic Variables from SDSS I. The First Results
- SDSS unveils a population of intrinsically faint cataclysmic variables at the minimum orbital period
- Cataclysmic Variables in the First Year of the Zwicky Transient Facility
- From Active Stars to Black Holes: A Tool for the SRG/eROSITA X-ray Survey and New Discoveries as Proof of Concept
- Searching for New Cataclysmic Variables in the Chandra Source Catalog
- Cataclysmic Variables and AM CVn Binaries in SRG/eROSITA + Gaia: Volume Limited Samples, X-ray Luminosity Functions, and Space Densities
- Searching for Accreting Compact Object Binaries in SRG/eROSITA eRASS1
- The Gaia mission
- Gaia Data Release 2. Summary of the contents and survey properties
- Gaia Early Data Release 3: Summary of the contents and survey properties
- Gaia Data Release 3: Summary of the content and survey properties
- Gaia Data Release 3: Processing and validation of BP/RP low-resolution spectral data
- Gaia Data Release 3: Analysis of the Gaia BP/RP spectra using the General Stellar Parameterizer from Photometry
- Robust Data-driven Metallicities for 175 Million Stars from Gaia XP Spectra
- Parameters of 220 million stars from Gaia BP/RP spectra
- XP-TEAL: Gaia XP tool for emission and absorption lines. I. Balmer lines in open clusters
- XP-TEAL: Gaia XP Tool for Emission and Absorption Lines II. Gaia-HELIX catalogue of H alpha emitters in Gaia BP/RP spectra
- Identifying new high-confidence polluted white dwarf candidates using Gaia XP spectra and Self-Organizing Maps
Related papers
- HXI-DLA2: A Physics-Constrained Deep Learning Algorithm for the ASO-S Hard X-ray Imager
- Effect of Neutron Star Jets on Common Envelope Evolution
- Constraining the origin of magnetic white dwarfs
- JW-FD: A 15-Year Multimodal Dataset for Solar Flare Forecasting
- Phlegethon: a fully compressible magnetohydrodynamic code for simulations in stellar astrophysics
- Can MHD Oscillations Modulate Quasi-Periodic Plasma Release from Coronal Streamers?