Most high-priority Habitable Worlds Observatory targets have measured stellar activity and rotation, but long-term magnetic activity cycles are known for fewer than 20% of them.
The All Sky Automated Survey. Variable Stars in the 0h - 6h Quarter of the Southern Hemisphere
3 Pith papers cite this work, alongside 38 external citations. Polarity classification is still indexing.
abstract
This paper describes the first part of the photometric data from the 9x9 deg ASAS cameras monitoring the whole southern hemisphere in V-band. Data acquisition and reduction pipeline is described and preliminary list of variable stars is presented. Over 1,300,000 stars brighter than V=15 on 40,000 frames were analyzed and 3126 were found to be variable (1046 eclipsing, 778 regular pulsating, 132 Mira and 1170 other, mostly SR, IR and LPV stars). Periodic light curves have been classified using the fully automated algorithm, which is described in detail. Basic photometric properties are presented in the tables and thumbnail light curves are printed for reference. All photometric data is available over the INTERNET at http://www.astrouw.edu.pl/~gp/asas/asas.html or http://archive.princeton.edu/~asas .
citation-role summary
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fields
astro-ph.SR 3years
2026 3roles
background 1polarities
background 1representative citing papers
An ensemble ML framework achieves 90.7% morphology classification accuracy and R² values of 0.77–0.92 for key parameters on held-out test data, with external validation against OGLE and Kepler catalogs.
IZ Tel and UW Vir are oEA binaries with δ Sct primaries showing mass transfer, derived masses of 1.48/0.33 and 2.39/0.67 solar masses, and multi-frequency pulsations including combination modes.
citing papers explorer
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HWO Target Stars and Systems: Activity and Rotation Catalog (ARC) of Potential Target Stars for the Habitable Worlds Observatory
Most high-priority Habitable Worlds Observatory targets have measured stellar activity and rotation, but long-term magnetic activity cycles are known for fewer than 20% of them.
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Is the `Known' Enough? An Integrated Machine Learning Framework for Eclipsing Binary Classification and Parameter Estimation Based on Well-Characterized Systems
An ensemble ML framework achieves 90.7% morphology classification accuracy and R² values of 0.77–0.92 for key parameters on held-out test data, with external validation against OGLE and Kepler catalogs.
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IZ Tel and UW Vir: Southern oscillating eclipsing Algol systems with active mass transfer
IZ Tel and UW Vir are oEA binaries with δ Sct primaries showing mass transfer, derived masses of 1.48/0.33 and 2.39/0.67 solar masses, and multi-frequency pulsations including combination modes.