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-0.3.0.tar.gz (4.2 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-0.3.0-py3-none-any.whl (4.2 MB view details)

Uploaded Python 3

File details

Details for the file ppxf_sew-0.3.0.tar.gz.

File metadata

  • Download URL: ppxf_sew-0.3.0.tar.gz
  • Upload date:
  • Size: 4.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.11.5

File hashes

Hashes for ppxf_sew-0.3.0.tar.gz
Algorithm Hash digest
SHA256 16e67918f557af950faa41bb1af978ff944e64d51b5375076339abe78b9b82d4
MD5 4eaf77e6ec20f8eba58df6a646850ea9
BLAKE2b-256 ef8082302d0723325a74840789e61c6645dc6d2d368895fe08a77e8f463bf98d

See more details on using hashes here.

File details

Details for the file ppxf_sew-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: ppxf_sew-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 4.2 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.11.5

File hashes

Hashes for ppxf_sew-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 150df84ee7eb4b50fb21b6bb43744e38256ebecbb59cdcc0cbe2c5d373423b3f
MD5 167400467364a0a412833578fd3bf3d0
BLAKE2b-256 95048b03d3379843fac7246da2bccf8b8e65de8d1ab5069da6d5ed9618ec73b5

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