We performed a detailed analysis of the main theoretical uncertainties affecting the age at the lithium depletion boundary (LDB). To do that we computed almost 12 000 pre-mainsequence models with mass in the range [0.06, 0.4] M˙ by varying input physics (nuclear reaction cross-sections, plasma electron screening, outer boundary conditions, equation of state, and radiative opacity), initial chemical elements abundances (total metallicity, helium and deuterium abundances, and heavy elements mixture), and convection efficiency (mixing length parameter, αML). As a first step, we studied the effect of varying these quantities individually within their extreme values. Then, we analysed the impact of simultaneously perturbing the main input/parameters without an a priori assumption of independence. Such an approach allowed us to build for the first time the cumulative error stripe, which defines the edges of the maximum uncertainty region in the theoretical LDB age. We found that the cumulative error stripe is asymmetric and dependent on the adopted mixing length value. For αML = 1.00, the positive relative age error ranges from 5 to 15 per cent, while for solarcalibrated mixing length, the uncertainty reduces to 5-10 per cent. A large fraction of such an error (≈40 per cent) is due to the uncertainty in the adopted initial chemical elements abundances.
Cumulative theoretical uncertainties in lithium depletion boundary age
TOGNELLI, EMANUELE;PRADA MORONI, PIER GIORGIO;DEGL'INNOCENTI, SCILLA
2015-01-01
Abstract
We performed a detailed analysis of the main theoretical uncertainties affecting the age at the lithium depletion boundary (LDB). To do that we computed almost 12 000 pre-mainsequence models with mass in the range [0.06, 0.4] M˙ by varying input physics (nuclear reaction cross-sections, plasma electron screening, outer boundary conditions, equation of state, and radiative opacity), initial chemical elements abundances (total metallicity, helium and deuterium abundances, and heavy elements mixture), and convection efficiency (mixing length parameter, αML). As a first step, we studied the effect of varying these quantities individually within their extreme values. Then, we analysed the impact of simultaneously perturbing the main input/parameters without an a priori assumption of independence. Such an approach allowed us to build for the first time the cumulative error stripe, which defines the edges of the maximum uncertainty region in the theoretical LDB age. We found that the cumulative error stripe is asymmetric and dependent on the adopted mixing length value. For αML = 1.00, the positive relative age error ranges from 5 to 15 per cent, while for solarcalibrated mixing length, the uncertainty reduces to 5-10 per cent. A large fraction of such an error (≈40 per cent) is due to the uncertainty in the adopted initial chemical elements abundances.File | Dimensione | Formato | |
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