We lifted 5 functions out of this paper's own repositories and ran 2 of them in a sandbox. "Ran" means the function executed on a synthesized input and returned a value. It is not a reproduction of the paper's results.
| Repository | Role | Ran |
|---|---|---|
| wkerzendorf/wsynphot | canonical | 2 of 5 |
| Function | Status | Where it lives |
|---|---|---|
| download_setuptools | Ran | wkerzendorf/wsynphot/ez_setup.py code served (permissive licence) · get_code("25af1837a1cb27b5") |
| formatter_message | Ran | wkerzendorf/wsynphot/wsynphot/util/colored_logger.py code served (permissive licence) · get_code("16cbdbe4cdf79f6a") |
| main | Not yet run | wkerzendorf/wsynphot/ez_setup.py code served (permissive licence) · get_code("ed75c7fad81f0b32") |
| test | Not yet run | wkerzendorf/wsynphot/wsynphot/_astropy_init.py code served (permissive licence) · get_code("e6219b8d4d197d28") |
| use_setuptools | Not yet run | wkerzendorf/wsynphot/ez_setup.py code served (permissive licence) · get_code("7de1966dd2cd04a1") |
Some links come from the archived Papers with Code dataset (CC BY-SA 4.0): attribution and licence.
Manual fits to spectral times series of Type Ia supernovae have provided a method of reconstructing the explosion from a parametric model but due to lack of information about model uncertainties or parameter degeneracies direct comparison between theory and observation is difficult. In order to mitigate this important problem we present a new way to probabilistically reconstruct the outer ejecta of the normal Type Ia supernova SN 2002bo. A single epoch spectrum, taken 10 days before maximum light, is fit by a 13-parameter model describing the elemental composition of the ejecta and the explosion physics (density, temperature, velocity, and explosion epoch). Model evaluation is performed through the application of a novel rapid spectral synthesis technique in which the radiative transfer code, TARDIS, is accelerated by a machine-learning framework. Analysis of the posterior distribution reveals a complex and degenerate parameter space and allows direct comparison to various hydrodynamic models. Our analysis favors detonation over deflagration scenarios and we find that our technique offers a novel way to compare simulation to observation.
The same record, over MCP at https://syntology.ai/mcp:
get_harvested_code_for_paper("2105.07910")
get_code_for_paper("2105.07910")
have("2105.07910")
Connect an agent — have() is free.