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THzTools submission #209

@jsdodge

Description

@jsdodge

Submitting Author: (@jsdodge)
All current maintainers: (@jsdodge)
Package Name: THzTools
One-Line Description of Package: Data analysis software tools for terahertz time-domain spectroscopy (THz-TDS)
Repository Link: https://github.com/dodge-research-group/thztools
Version submitted: 0.5.4
EiC: @cmarmo
Editor:@banesullivan
Reviewer 1: @frank1010111
Reviewer 2: @Romain-Peretti
Archive: DOI
JOSS DOI: DOI
Version accepted: 0.5.5
Date accepted (month/day/year): 11/22/2024


Code of Conduct & Commitment to Maintain Package

Description

  • Include a brief paragraph describing what your package does:

THzTools provides tools to simplify and improve procedures for data analysis in terahertz time-domain spectroscopy (THz-TDS). Some of the methods included in the package were described previously in the paper at this link. As the name suggests, terahertz time-domain spectroscopy involves measurements of terahertz-frequency electromagnetic waveforms that are are acquired as a function of time. A variety of methods exist to transform these measurements into functions of frequency, but the standard procedures have several pitfalls. THzTools provides software tools that make it easier for researchers to use the best available methods for analyzing their data.

Scope

  • Please indicate which category or categories.
    Check out our package scope page to learn more about our
    scope. (If you are unsure of which category you fit, we suggest you make a pre-submission inquiry):

    • Data retrieval
    • Data extraction
    • Data processing/munging
    • Data deposition
    • Data validation and testing
    • Data visualization1
    • Workflow automation
    • Citation management and bibliometrics
    • Scientific software wrappers
    • Database interoperability

Domain Specific

  • Geospatial
  • Education

Community Partnerships

If your package is associated with an
existing community please check below:

  • For all submissions, explain how and why the package falls under the categories you indicated above. In your explanation, please address the following points (briefly, 1-2 sentences for each):

    • Who is the target audience and what are scientific applications of this package?
      The target audience is researchers working with THz-TDS, although the procedures may be useful in other areas that use time-domain measurement systems. The package is designed for characterizing the time-domain noise performance of THz-TDS measurement systems and for analyzing the results from these systems in the frequency domain.

    • Are there other Python packages that accomplish the same thing? If so, how does yours differ?
      The Fit-TDS package provides a graphical user interface that simplifies THz-TDS data analysis with standard analysis methods. THzTools focuses on lower-level statistical procedures, and implements algorithms that are not available in Fit-TDS.

    • If you made a pre-submission enquiry, please paste the link to the corresponding issue, forum post, or other discussion, or @tag the editor you contacted: @NickleDave

Technical checks

For details about the pyOpenSci packaging requirements, see our packaging guide. Confirm each of the following by checking the box. This package:

  • does not violate the Terms of Service of any service it interacts with.
  • uses an OSI approved license.
  • contains a README with instructions for installing the development version.
  • includes documentation with examples for all functions.
  • contains a tutorial with examples of its essential functions and uses.
  • has a test suite.
  • has continuous integration setup, such as GitHub Actions CircleCI, and/or others.

Publication Options

JOSS Checks
  • The package has an obvious research application according to JOSS's definition in their submission requirements. Be aware that completing the pyOpenSci review process does not guarantee acceptance to JOSS. Be sure to read their submission requirements (linked above) if you are interested in submitting to JOSS.
  • The package is not a "minor utility" as defined by JOSS's submission requirements: "Minor ‘utility’ packages, including ‘thin’ API clients, are not acceptable." pyOpenSci welcomes these packages under "Data Retrieval", but JOSS has slightly different criteria.
  • The package contains a paper.md matching JOSS's requirements with a high-level description in the package root or in inst/.
  • The package is deposited in a long-term repository with the DOI: https://zenodo.org/doi/10.5281/zenodo.10100093

Note: JOSS accepts our review as theirs. You will NOT need to go through another full review. JOSS will only review your paper.md file. Be sure to link to this pyOpenSci issue when a JOSS issue is opened for your package. Also be sure to tell the JOSS editor that this is a pyOpenSci reviewed package once you reach this step.

Are you OK with Reviewers Submitting Issues and/or pull requests to your Repo Directly?

This option will allow reviewers to open smaller issues that can then be linked to PR's rather than submitting a more dense text based review. It will also allow you to demonstrate addressing the issue via PR links.

  • Yes I am OK with reviewers submitting requested changes as issues to my repo. Reviewers will then link to the issues in their submitted review.

Confirm each of the following by checking the box.

  • I have read the author guide.
  • I expect to maintain this package for at least 2 years and can help find a replacement for the maintainer (team) if needed.

Please fill out our survey

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Footnotes

  1. Please fill out a pre-submission inquiry before submitting a data visualization package.

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