Skip to content
Sections
>> Trisquel >> パッケージ >> ecne (12.0LTS) >> python >> python3-sncosmo
[  ecne  ] [  xolotl  ]
[ ソース: sncosmo  ]

パッケージ: 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.

その他の python3-sncosmo 関連パッケージ

  • 依存
  • 推奨
  • 提案
  • dep: libc6 (>= 2.14)
    GNU C Library: Shared libraries
    以下のパッケージによって提供される仮想パッケージでもあります: libc6-udeb
  • 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
    以下のパッケージによって提供される仮想パッケージです: 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

python3-sncosmo のダウンロード

すべての利用可能アーキテクチャ向けのダウンロード
アーキテクチャ パッケージサイズ インストールサイズ ファイル
amd64 281.3 kB950 kB [ファイル一覧]