Skip to main content

A method of stellar population synthesis based on ''Equivalent Widths spectrum'', utilizing pPXF for full-spectrum fitting

Project description

pPXF-SEW: A full-spectrum fitting method of stellar population Synthesis based on ‘’Equivalent Widths spectrum’’ without attenuation curve prior based on pPXF

Description

This pPXF-SEW package contains a Python implementation of the stellar population Synthesis based on Equivalent Widths spectrum (SEW) method and the Penalized PiXel-Fitting (pPXF) method. It uses full-spectrum fitting with SED to extract stellar and gas kinematics, the stellar population, as well as the dust attenuation curve of stars and galaxies, without a prior attenuation curve. The kinematics are derived from the pPXF method, while the stellar population and attenuation curve are derived from the SEW method.

The SEW method was described in Lu (2025) (in prep.).

The pPXF method was originally described in Cappellari & Emsellem (2004) and was substantially upgraded in subsequent years, particularly in Cappellari (2017).

Installation

Install with:

pip install ppxf-sew

Without write access to the global site-packages directory, use:

pip install --user ppxf-sew

To upgrade to the latest version, use:

pip install --upgrade ppxf-sew

Usage Examples

To learn how to use the pPXF-SEW package, run the examples as Jupyter Notebooks in the ppxf-sew/example directory. It can be found within the main pPXF-SEW package installation folder inside site-packages.


License

Other/Proprietary License

Copyright (c) 2024 Jiafeng Lu

This software is provided as is with no warranty. You may use it for non-commercial purposes and modify it for personal or internal use, as long as you include this copyright and disclaimer in all copies. You may not redistribute the code.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ppxf_sew-0.7.2.tar.gz (6.4 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ppxf_sew-0.7.2-py3-none-any.whl (6.4 MB view details)

Uploaded Python 3

File details

Details for the file ppxf_sew-0.7.2.tar.gz.

File metadata

  • Download URL: ppxf_sew-0.7.2.tar.gz
  • Upload date:
  • Size: 6.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.5

File hashes

Hashes for ppxf_sew-0.7.2.tar.gz
Algorithm Hash digest
SHA256 45efbbb29aab59fccb28eaa5df3dbe3d9ba34aacae9e3326df6b94d958053260
MD5 5c72992e10b7248a0fc2f8fa216a04fd
BLAKE2b-256 7f4987c1dde278a0af23837b0fe7df9f70f18fee9428a1e5bfca071584c40305

See more details on using hashes here.

File details

Details for the file ppxf_sew-0.7.2-py3-none-any.whl.

File metadata

  • Download URL: ppxf_sew-0.7.2-py3-none-any.whl
  • Upload date:
  • Size: 6.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.5

File hashes

Hashes for ppxf_sew-0.7.2-py3-none-any.whl
Algorithm Hash digest
SHA256 6e566515a2246a25da70c7318d06e5b2135896a72b4e2c2b4c8136be45a5b9ea
MD5 fd7313dfafba6aa173930888e1527169
BLAKE2b-256 dc112da52f00b4860b37874892d61bf4331fb90a93848512ec3a8887e2437319

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page