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We cross-matched 1.3 million white dwarf (WD) candidates from Gaia EDR3 withspectral data from LAMOST DR7 within 3 arcsec. Applying machine learningdescribed in our previous work, we spectroscopically identified 6,190 WDobjects after visual inspection, among which 1,496 targets were firstlyconfirmed. 32 detailed classes were adopted for them, including but not limitedto DAB and DB+M. We estimated the atmospheric parameters for the DA and DB typeWD using Levenberg-Marquardt least-squares algorithm (LM). Finally, a catalogof WD spectra from LAMOST was provided online.

Identification of White Dwarf from Gaia EDR3 via Spectra from LAMOST DR7