Confidence levels of evolutionary synthesis models III: On sampling and Poissonian fluctuations
M. Cervino (1,2,3), D. Valls-Gabaud (1), V. Luridiana (4,5), J.M., Mas-Hesse (6) ((1) OMP, (2) CESR, (3) MPE, (4) IA-Unam, (5) ESO, (6) LAEFF)

TL;DR
This paper introduces a statistical formalism to estimate uncertainties in stellar population synthesis models caused by sampling fluctuations, improving accuracy without extensive simulations, especially for young starburst populations.
Contribution
It presents a generic formalism for quantifying sampling errors in synthesis models, applicable to various stellar populations, and demonstrates its use in analyzing young starburst clusters.
Findings
UV continuum is more reliable for model comparison.
Clusters >10^5 M_sun have ~10% dispersion in Q(He+) for ages <3 Myr.
The WR bump ratio is the most reliable indicator for WR populations.
Abstract
In terms of statistical fluctuations, stellar population synthesis models are only asymptotically correct in the limit of a large number of stars, where sampling errors become asymptotically small. When dealing with stellar clusters, starbursts, dwarf galaxies or stellar populations within pixels, sampling errors introduce a large dispersion in the predicted integrated properties of these populations. We present here an approximate but generic statistical formalism which allows a very good estimation of the uncertainties and confidence levels in any integrated property, bypassing extensive Monte Carlo simulations, and including the effects of partial correlations between different observables. Tests of the formalism are presented and compared with proper estimates. We derive the minimum mass of stellar populations which is required to reach a given confidence limit for a given…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomy and Astrophysical Research
