On Presolar Stardust Grains from CO Classical Novae

TL;DR

This study uses a Monte Carlo approach to identify presolar grains likely originating from CO novae by matching isotopic ratios without assuming ejecta dilution, revealing 18 candidate grains.

Contribution

Introduces a comprehensive Monte Carlo simulation method to better explore nova parameters and identify presolar grains from CO novae without relying on ejecta dilution assumptions.

Findings

Identified 18 presolar grains consistent with CO nova origin.

Six grains have the highest probability of being from CO novae.

Demonstrated the effectiveness of Monte Carlo sampling in nova grain analysis.

Abstract

About 30% to 40% of classical novae produce dust 20-100 days after the outburst, but no presolar stardust grains from classical novae have been unambiguously identified yet. Although several studies claimed a nova paternity for certain grains, the measured and simulated isotopic ratios could only be reconciled assuming that the grains condensed after the nova ejecta mixed with a much larger amount of close-to-solar matter. However, the source and mechanism of this potential post-explosion dilution of the ejecta remains a mystery. A major problem with previous studies is the small number of simulations performed and the implied poor exploration of the large nova parameter space. We report the results of a different strategy, based on a Monte Carlo technique, that involves the random sampling over the most important nova model parameters: the white dwarf composition; the mixing of the outer white dwarf layers with the accreted material before the explosion; the peak temperature and density; the explosion time scales; and the possible dilution of the ejecta after the outburst. We discuss and take into account the systematic uncertainties for both the presolar grain measurements and the simulation results. Only those simulations that are consistent with all measured isotopic ratios of a given grain are accepted for further analysis. We also present the numerical results of the model parameters. We identify 18 presolar grains with measured isotopic signatures consistent with a CO nova origin, without assuming any dilution of the ejecta. Among these, the grains G270 2, M11-334-2, G278, M11-347-4, M11-151-4, and Ag2 6 have the highest probability of a CO nova paternity.