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TZID:US/Arizona
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DTSTART:20221106T000000
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SUMMARY:O-type Stars' Stellar Parameter Estimation with ANN - Luis J. Corr
 al
DTSTART;TZID=US/Arizona:20231106T083000
DTEND;TZID=US/Arizona:20231106T083000
DTSTAMP:20260818T170326Z
UID:pretalx-adass2023-QAPC3H@pretalx.com
DESCRIPTION:We present the results of the implementation of a deep learnin
 g system that estimates the effective temperature and surface gravity of O
 -type stars. The proposed system was trained with a database of 5\,557 syn
 thetic spectra calculated with the CMFGEN stellar atmosphere code and cove
 rs stars with Teff from ∼20000 K to ∼58000 K\, log(L/L⊙)  from 4.3 t
 o 6.3 dex\, log g from 2.4 to 4.2 dex\, and mass from 9 to 120 M⊙\nThe v
 alidation of the system was performed by processing a sample of twenty O-t
 ype stars taken from the IACOB database\, and a subgroup of eleven stars o
 f those twenty taken from The Galactic O-Star Spectroscopic Catalog (GOSC)
  with lower resolution.
LOCATION:Posters
URL:https://pretalx.com/adass2023/talk/QAPC3H/
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