Dusty Clump Survival in Supernova Ejecta: Dust-Mediated Growth vs. Crushing by the Reverse Shock
arXiv:2509.08887 · doi:10.1051/0004-6361/202556389
Abstract
Understanding the interaction of dense, cold ejecta clumps with a fast reverse shock, an instance of the "cloud-crushing" problem, is essential to assess whether core-collapse supernovae act as net dust factories or net dust destroyers. This work assesses whether dusty ejecta clumps are destroyed by the reverse shock or instead cool, condense, and grow in mass under realistic supernova-remnant conditions. Cloud-crushing timescales are computed and compared to radiative cooling timescales, including both gas-phase cooling and dust-induced cooling, for a large grid of clump densities, dust-to-gas mass ratios, and shock velocities. When the dust-to-gas mass ratio exceeds , gas-grain collisions become efficient enough that the cooling timescale falls below the cloud-crushing timescale over a broad span of clump densities and shock velocities, enabling dusty clumps to survive even fast reverse shocks. For example, at clump densities cm, dust-to-gas mass ratios , and shock velocities up to km s, enhanced gas-grain cooling drives the system into a regime where dusty clumps can gain additional cold mass and increase their dust masses. Strong radiative cooling can shield dust-rich clumps in supernova remnants, enabling a significant fraction of ejecta dust to be injected into the interstellar medium. These results mirror the "growth" regime found in studies of circumgalactic clouds and rapidly cooling shocked stellar winds, implying a larger dust survival in supernova remnants. Indeed, the dusty globules seen in the Crab Nebula occupy the predicted survival regime across a wide range of physical parameters.
4 pages, 2 figures. Accepted as a Letter in Astronomy & Astrophysics
References in corpus (17)
- Array Programming with NumPy
- The Clustering of the SDSS DR7 Main Galaxy Sample I: A 4 per cent Distance Measure at z=0.15
- Dark energy constraints from cosmic shear power spectra: impact of intrinsic alignments on photometric redshift requirements
- Extended Limber Approximation
- The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Baryon acoustic oscillations with Lyman- forests
- The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: measurement of the BAO and growth rate of structure of the luminous red galaxy sample from the anisotropic correlation function between redshifts 0.6 and 1
- The fourth data release of the Kilo-Degree Survey: ugri imaging and nine-band optical-IR photometry over 1000 square degrees
- Intrinsic galaxy alignments from the 2SLAQ and SDSS surveys: luminosity and redshift scalings and implications for weak lensing surveys
- The Clustering of the SDSS Main Galaxy Sample II: Mock galaxy catalogues and a measurement of the growth of structure from Redshift Space Distortions at
- Constraints on intrinsic alignment contamination of weak lensing surveys using the MegaZ-LRG sample
- Estimating the Redshift Distribution of Faint Galaxy Samples
- KiDS+VIKING-450 and DES-Y1 combined: Mitigating baryon feedback uncertainty with COSEBIs
- KiDS+VIKING-450: Improved cosmological parameter constraints from redshift calibration with self-organising maps
- Statistical Inconsistencies in the KiDS-450 Dataset
- The fifth data release of the Kilo Degree Survey: Multi-epoch optical/NIR imaging covering wide and legacy-calibration fields
- Dark Energy Survey internal consistency tests of the joint cosmological probes analysis with posterior predictive distributions
- The impact of signal-to-noise, redshift, and angular range on the bias of weak lensing 2-point functions