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Cluster Association Members Analysis in Astrophysics

Explore the benefits of considering cluster association members in astrophysical research for precise age, distance, and reddening values with minimal errors. Utilize cluster properties like age and distance for improved data accuracy.

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Cluster Association Members Analysis in Astrophysics

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  1. Cluster & Association Members Ernst Paunzen IfA, Vienna

  2. Why consider Clusters Members? • Clusters offer astrophysical properties “for free”: • Age • Distance • Reddening • Not depending on any temperature, log g, absolute magnitude calibration

  3. The BRITE HRD Without reddening: M(V) = -5 mag and V = 4 mag => distance = 630 pc -6; 4; 1000 -5; 4; 630 -4; 4; 400 -3; 4; 250 -2; 4; 160 -1; 4; 100 +0; 4; 65

  4. Clusters within 750 pc -6; 4; 1000 -5; 4; 630 -4; 4; 400 -3; 4; 250 -2; 4; 160 -1; 4; 100 +0; 4; 65 log t < 8.0 (blue) log t < 9.0 (yellow) log t > 9.0 (red) Several Cluster Members in the BRITE sample! WEBDA: http://www.univie.ac.at/webda

  5. Cluster Properties and Membership • Cluster formation within a few Myrs • From one large Molecular Cloud • Membership criteria due to proper motions and radial velocities

  6. Isochrones I Padova Isochrones

  7. Isochrones II Huge Errors! 280K

  8. Lines of Equal Masses Error: DM(V) = 0.1 mag DMass = 0.1 M(sun) + Error in log Teff 2.5 mag Padova Isochrones

  9. Precision of Age Determination Values from the Literature Paunzen & Netopil, 2006, MNRAS, 371, 1641

  10. Why consider Clusters Members? • Clusters offer astrophysical properties “for free”: • Age, error about 15% • Distance, error less than 10% • Reddening, error less than 5% • Values can be improved! • “Only positive membership needed” • Precise mass estimation possible • Huge data base (WEBDA) in Vienna

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