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Cataclysmic Variables in the First Year of the Zwicky Transient Facility

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arxiv 2002.08447 v1 pith:YKD6T3CL submitted 2020-02-19 astro-ph.SR astro-ph.HE

classification astro-ph.SRastro-ph.HE
keywords candidatescataclysmiccolorconfirmedduringemissionfacilityfirst
verification ladder T0 review T1 audit T2 compute T3 formal
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Using selection criteria based on amplitude, time and color, we have identified 329 objects as known or candidate cataclysmic variable (CVs) during the first year of testing and operation of the Zwicky Transient Facility (ZTF). Of these, 90 are previously confirmed CVs, 218 are strong candidates based on the shape and color of their light curves obtained during 3-562 days of observations, and the remaining 21 are possible CVs but with too few data points to be listed as good candidates. Almost half the strong candidates are within 10 deg of the galactic plane, in contrast to most other large surveys which have avoided crowded fields. The available Gaia parallaxes are consistent with sampling the low mass transfer CVs, as predicted by population models. Our followup spectra have confirmed Balmer/helium emission lines in 27 objects, with four showing high excitation HeII emission, including candidates for an AM CVn, a polar and an intermediate polar. Our results demonstrate that a complete survey of the galactic plane is needed to accomplish an accurate determination of the number of CVs existing in the Milky Way.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Cataclysmic variables from Gaia XP spectra: The Gaia emission-line magnitude (GEM) diagram

    astro-ph.SR 2026-07 conditional novelty 6.0 of 10

    A Gaia-based emission-line magnitude diagram separates cataclysmic variables from white dwarfs, hot subdwarfs and WD+MS binaries, recovering known CVs and yielding three new candidates within 250 pc.

  2. 1000 cataclysmic variables identified from DESI spectroscopy

    astro-ph.SR 2026-07 conditional novelty 6.0 of 10

    1,029 cataclysmic variables (221 new) were identified from 98.97 million DESI spectra using a CNN trained on SDSS CVs.

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