Skip to main content

Tools for the analysis of stellar spectropolarimetric data

Project description

Welcome to SpecpolFlow!

NOTICE TO ALL USERS:

SpecpolFlow's beta release is live at:

pip install specpolFlow

The code is still in active development, while the current modules are well tested, some details may change.

Installing SpecpolFlow will automatically install LSDpy.

The spectrum normalization tool NormPlot is an optional extra. It can be installed at the same time as SpecpolFlow using:

pip install specpolFlow[norm]

or NormPlot can be installed separately using:

pip install normPlot

About SpecpolFlow

SpecpolFlow is a software package that provides a completely pythonic workflow for the analysis of spectropolarimetric observations of stellar sources (for example, data acquired from ESPaDOnS at CFHT, Narval at TBL, etc). It is designed to provide a single, user-friendly pipeline from telescope to science product.

SpecpolFlow incorporates tools for spectra normalization (Github: folsomcp/normPlot) and LSD profile calculation (Github: folsomcp/LSDpy). It also provides several supporting tools, including tools for developing and cleaning line masks, calculating the longitudinal magnetic field, and visualizing LSD profiles. These tools can be used through a fully documented Python API, or through a command line interface.

We also maintain a series of detailed tutorials, with examples of how to construct a flexible workflow from SpecpolFlow's tools for your specific needs (e.g., automation for very large datasets using tools like pandas = Python for Data Analysis). These tutorials are in the form of Jupyter Notebooks, which can also be run using collaborative platforms such as Google Colab.

The full documentation can be found here: folsomcp.github.io/specpolFlow/

Contact us!

You can reach the SpF Development Team at: specpolflow@gmail.com

SpF Development Team:

  • Christi Erba (co-PI)
  • Colin Folsom (co-PI)
  • Veronique Petit
  • Shaquann Seadrow
  • Patrick Stanley
  • Tali Natan
  • Bonnie Zaire

Current Contributors:

  • Gregg Wade
  • Mary Oksala

Past Contributors:

  • Federico Villadiego Forero
  • DJ Meleney
  • Robin Moore
  • Dax Moraes
  • Marisol Catalan Olais

Logo:

The SpecpolFlow logo was created by the talented Tali Natan! Please contact the SpF team if you would like to use this graphic in a publication.

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

specpolFlow-0.3.4.tar.gz (57.7 kB view details)

Uploaded Source

Built Distribution

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

specpolFlow-0.3.4-py3-none-any.whl (63.3 kB view details)

Uploaded Python 3

File details

Details for the file specpolFlow-0.3.4.tar.gz.

File metadata

  • Download URL: specpolFlow-0.3.4.tar.gz
  • Upload date:
  • Size: 57.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.12

File hashes

Hashes for specpolFlow-0.3.4.tar.gz
Algorithm Hash digest
SHA256 e1ef95a447ec59d9c0dc8423e7238c190fc1409c0c120644e1b773d328204bb6
MD5 48b87faab916f712a10da4bd363a346a
BLAKE2b-256 1cea92ab666827ddc0e326b67a6223a18b5994189116e49a18dedb5a969a4376

See more details on using hashes here.

File details

Details for the file specpolFlow-0.3.4-py3-none-any.whl.

File metadata

  • Download URL: specpolFlow-0.3.4-py3-none-any.whl
  • Upload date:
  • Size: 63.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.12

File hashes

Hashes for specpolFlow-0.3.4-py3-none-any.whl
Algorithm Hash digest
SHA256 f32ec1a0bf458c9447124ae00879bd239fd5b9568ece7a134dd4e8b3121cf081
MD5 0aeeddd88c6043c40ce3aa70307dee07
BLAKE2b-256 fc599ed0a8c6b681f22ac0a529a16b15af86be0ccc42fd04ea6290c937d67aa9

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