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Pakiet: python3-sncosmo (2.10.4-1build1)

Python library for high-level supervova cosmology analysis

SNCosmo synthesizes supernova spectra and photometry from SN models, and has functions for fitting and sampling SN model parameters given photometric light curve data. It offers fast implementations of several commonly used extinction laws and can be used to construct SN models that include dust. The SNCosmo library includes supernova models such as SALT2, MLCS2k2, Hsiao, Nugent, PSNID, SNANA and Whalen models, as well as a variety of built-in bandpasses and magnitude systems, and provides convenience functions for reading and writing peculiar data formats used in other packages. The library is extensible, allowing new models, bandpasses, and magnitude systems to be defined using an object-oriented interface.

Inne pakiety związane z python3-sncosmo

  • wymaga
  • poleca
  • sugeruje
  • dep: libc6 (>= 2.14) [amd64]
    GNU C Library: Shared libraries
    również pakiet wirtualny udostępniany przez libc6-udeb
    dep: libc6 (>= 2.17) [arm64, ppc64el]
    dep: libc6 (>= 2.27) [riscv64]
    dep: libc6 (>= 2.4) [armhf]
  • dep: python3
    interactive high-level object-oriented language (default python3 version)
    dep: python3 (<< 3.13)
    dep: python3 (>= 3.12~)
  • dep: python3-astropy
    Core functionality for performing astrophysics with Python
  • dep: python3-extinction
    Fast interstellar dust extinction laws (Python 3)
  • dep: python3-numpy (>= 1:1.25.0)
    Fast array facility to the Python language (Python 3)
  • dep: python3-numpy-abi9
    pakiet wirtualny udostępniany przez python3-numpy
  • dep: python3-scipy
    scientific tools for Python 3
  • dep: python3-yaml
    YAML parser and emitter for Python3
  • sug: python3-emcee
    Affine-invariant ensemble MCMC sampling for Python 3
  • sug: python3-iminuit
    Robust Python minimisation library based around MINUIT2

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amd64 281,3 KiB950 KiB [lista plików]
arm64 277,2 KiB937 KiB [lista plików]
armhf 272,1 KiB869 KiB [lista plików]
ppc64el 303,7 KiB1065 KiB [lista plików]
riscv64 283,1 KiB909 KiB [lista plików]