ossr-curation merge requestshttps://gitlab.in2p3.fr/escape2020/wp3/ossr-curation/-/merge_requests2023-01-18T17:58:13+01:00https://gitlab.in2p3.fr/escape2020/wp3/ossr-curation/-/merge_requests/55[CURATE] Access and use of astronomy-related data from Python : a series of J...2023-01-18T17:58:13+01:00CI[CURATE] Access and use of astronomy-related data from Python : a series of Jupyter notebooks tutorials=== Record #7547627 ===
Title: Access and use of astronomy-related data from Python : a series of Jupyter notebooks tutorials
DOI: 10.5281/zenodo.7547627
URL: https://zenodo.org/record/7547627
Euro-VO/ESCAPE repositor...=== Record #7547627 ===
Title: Access and use of astronomy-related data from Python : a series of Jupyter notebooks tutorials
DOI: 10.5281/zenodo.7547627
URL: https://zenodo.org/record/7547627
Euro-VO/ESCAPE repository of Python tutorials
This repository contains Jupyter notebooks illustrating how astronomers can search, find, and access data they need from archives across the world.
We offer a focus on data hosted at the Strasbourg astronomical Data Center (CDS) and on archives compliant with Virtual Observatory (VO) protocols and standards, as defined by the International Virtual Observatory Alliance (IVOA).
How to explore the tutorials
The tutorials can be read as a website https://cds-astro.github.io/tutorials/intro.html on they can be loaded in a Binder online environnement where you can edit the code and re-execute the cells.
For a local installation, dowload the content of the notebook folder to your personnal machine. Install the Jupyter and the Python libraries in the
requirements.txt
file, then enable the ipyaladin jupyter extension by executing the command lines in the PostBuild file.
Changelog:
- v1.0.0: https://github.com/cds-astro/tutorials/commits/v1.0.0
- v1.0.2: https://github.com/cds-astro/tutorials/compare/v1.0.0...v1.0.2
- V1.0.3: https://github.com/cds-astro/tutorials/compare/v1.0.2...v1.0.3
## Check the software checklist for the entry
- [ ] Contains valid codemeta.json (see validator output)
- [ ] Documentation is provided in the Zenodo entry (at least through codemeta)
- [ ] a stable versioned release of the project
- [ ] It is under an open-source license (see SPDX [https://spdx.org/licenses/])
- [ ] Follows a reasonable set of software development / software engineering practices (rough by-eye quality estimate)
## Complete onboarding issue
Related onboarding issue: XXX (to be entered by onboarding manager)
- [ ] Make sure all boxes of the checklist up to "Uploaded to Zenodo" are ticked
- [ ] Tick "software checklist completed" when done with the above
- [ ] When cleared for merging, tick "Added to Zenodo community/published" and change issue status to "closed"
----
There are 5 missing recommended keys:['memoryRequirements', 'processorRequirements', 'releaseNotes', 'storageRequirements', 'copyrightHolder']https://gitlab.in2p3.fr/escape2020/wp3/ossr-curation/-/merge_requests/52[CURATE] Access and use of astronomy-related data from Python : a series of J...2023-01-18T17:44:35+01:00CI[CURATE] Access and use of astronomy-related data from Python : a series of Jupyter notebooks tutorials=== Record #7547627 ===
Title: Access and use of astronomy-related data from Python : a series of Jupyter notebooks tutorials
DOI: 10.5281/zenodo.7547627
URL: https://zenodo.org/record/7547627
Euro-VO/ESCAPE repositor...=== Record #7547627 ===
Title: Access and use of astronomy-related data from Python : a series of Jupyter notebooks tutorials
DOI: 10.5281/zenodo.7547627
URL: https://zenodo.org/record/7547627
Euro-VO/ESCAPE repository of Python tutorials
This repository contains Jupyter notebooks illustrating how astronomers can search, find, and access data they need from archives across the world.
We offer a focus on data hosted at the Strasbourg astronomical Data Center (CDS) and on archives compliant with Virtual Observatory (VO) protocols and standards, as defined by the International Virtual Observatory Alliance (IVOA).
How to explore the tutorials
The tutorials can be read as a website https://cds-astro.github.io/tutorials/intro.html on they can be loaded in a Binder online environnement where you can edit the code and re-execute the cells.
For a local installation, dowload the content of the notebook folder to your personnal machine. Install the Jupyter and the Python libraries in the
requirements.txt
file, then enable the ipyaladin jupyter extension by executing the command lines in the PostBuild file.
Changelog:
- v1.0.0: https://github.com/cds-astro/tutorials/commits/v1.0.0
- v1.0.2: https://github.com/cds-astro/tutorials/compare/v1.0.0...v1.0.2
- V1.0.3: https://github.com/cds-astro/tutorials/compare/v1.0.2...v1.0.3
## Check the software checklist for the entry
- [ ] Contains valid codemeta.json (see validator output)
- [ ] Documentation is provided in the Zenodo entry (at least through codemeta)
- [ ] a stable versioned release of the project
- [ ] It is under an open-source license (see SPDX [https://spdx.org/licenses/])
- [ ] Follows a reasonable set of software development / software engineering practices (rough by-eye quality estimate)
## Complete onboarding issue
Related onboarding issue: XXX (to be entered by onboarding manager)
- [ ] Make sure all boxes of the checklist up to "Uploaded to Zenodo" are ticked
- [ ] Tick "software checklist completed" when done with the above
- [ ] When cleared for merging, tick "Added to Zenodo community/published" and change issue status to "closed"
----
There are 5 missing recommended keys:['memoryRequirements', 'processorRequirements', 'releaseNotes', 'storageRequirements', 'copyrightHolder']https://gitlab.in2p3.fr/escape2020/wp3/ossr-curation/-/merge_requests/51[CURATE] Access and use of astronomy-related data from Python : a series of J...2023-01-18T17:15:02+01:00CI[CURATE] Access and use of astronomy-related data from Python : a series of Jupyter notebooks tutorials=== Record #7547627 ===
Title: Access and use of astronomy-related data from Python : a series of Jupyter notebooks tutorials
DOI: 10.5281/zenodo.7547627
URL: https://zenodo.org/record/7547627
Euro-VO/ESCAPE repositor...=== Record #7547627 ===
Title: Access and use of astronomy-related data from Python : a series of Jupyter notebooks tutorials
DOI: 10.5281/zenodo.7547627
URL: https://zenodo.org/record/7547627
Euro-VO/ESCAPE repository of Python tutorials
This repository contains Jupyter notebooks illustrating how astronomers can search, find, and access data they need from archives across the world.
We offer a focus on data hosted at the Strasbourg astronomical Data Center (CDS) and on archives compliant with Virtual Observatory (VO) protocols and standards, as defined by the International Virtual Observatory Alliance (IVOA).
How to explore the tutorials
The tutorials can be read as a website https://cds-astro.github.io/tutorials/intro.html on they can be loaded in a Binder online environnement where you can edit the code and re-execute the cells.
For a local installation, dowload the content of the notebook folder to your personnal machine. Install the Jupyter and the Python libraries in the
requirements.txt
file, then enable the ipyaladin jupyter extension by executing the command lines in the PostBuild file.
Changelog:
- v1.0.0: https://github.com/cds-astro/tutorials/commits/v1.0.0
- v1.0.2: https://github.com/cds-astro/tutorials/compare/v1.0.0...v1.0.2
- V1.0.3: https://github.com/cds-astro/tutorials/compare/v1.0.2...v1.0.3
## Check the software checklist for the entry
- [ ] Contains valid codemeta.json (see validator output)
- [ ] Documentation is provided in the Zenodo entry (at least through codemeta)
- [ ] a stable versioned release of the project
- [ ] It is under an open-source license (see SPDX [https://spdx.org/licenses/])
- [ ] Follows a reasonable set of software development / software engineering practices (rough by-eye quality estimate)
## Complete onboarding issue
Related onboarding issue: XXX (to be entered by onboarding manager)
- [ ] Make sure all boxes of the checklist up to "Uploaded to Zenodo" are ticked
- [ ] Tick "software checklist completed" when done with the above
- [ ] When cleared for merging, tick "Added to Zenodo community/published" and change issue status to "closed"
----
There are 5 missing recommended keys:['memoryRequirements', 'processorRequirements', 'releaseNotes', 'storageRequirements', 'copyrightHolder']https://gitlab.in2p3.fr/escape2020/wp3/ossr-curation/-/merge_requests/50[CURATE] Access and use of astronomy-related data from Python : a series of J...2023-01-18T16:50:39+01:00CI[CURATE] Access and use of astronomy-related data from Python : a series of Jupyter notebooks tutorials=== Record #7547627 ===
Title: Access and use of astronomy-related data from Python : a series of Jupyter notebooks tutorials
DOI: 10.5281/zenodo.7547627
URL: https://zenodo.org/record/7547627
Euro-VO/ESCAPE repositor...=== Record #7547627 ===
Title: Access and use of astronomy-related data from Python : a series of Jupyter notebooks tutorials
DOI: 10.5281/zenodo.7547627
URL: https://zenodo.org/record/7547627
Euro-VO/ESCAPE repository of Python tutorials
This repository contains Jupyter notebooks illustrating how astronomers can search, find, and access data they need from archives across the world.
We offer a focus on data hosted at the Strasbourg astronomical Data Center (CDS) and on archives compliant with Virtual Observatory (VO) protocols and standards, as defined by the International Virtual Observatory Alliance (IVOA).
How to explore the tutorials
The tutorials can be read as a website https://cds-astro.github.io/tutorials/intro.html on they can be loaded in a Binder online environnement where you can edit the code and re-execute the cells.
For a local installation, dowload the content of the notebook folder to your personnal machine. Install the Jupyter and the Python libraries in the
requirements.txt
file, then enable the ipyaladin jupyter extension by executing the command lines in the PostBuild file.
Changelog:
- v1.0.0: https://github.com/cds-astro/tutorials/commits/v1.0.0
- v1.0.2: https://github.com/cds-astro/tutorials/compare/v1.0.0...v1.0.2
- V1.0.3: https://github.com/cds-astro/tutorials/compare/v1.0.2...v1.0.3
## Check the software checklist for the entry
- [ ] Contains valid codemeta.json (see validator output)
- [ ] Documentation is provided in the Zenodo entry (at least through codemeta)
- [ ] a stable versioned release of the project
- [ ] It is under an open-source license (see SPDX [https://spdx.org/licenses/])
- [ ] Follows a reasonable set of software development / software engineering practices (rough by-eye quality estimate)
## Complete onboarding issue
Related onboarding issue: XXX (to be entered by onboarding manager)
- [ ] Make sure all boxes of the checklist up to "Uploaded to Zenodo" are ticked
- [ ] Tick "software checklist completed" when done with the above
- [ ] When cleared for merging, tick "Added to Zenodo community/published" and change issue status to "closed"
----
There are 5 missing recommended keys:['memoryRequirements', 'processorRequirements', 'releaseNotes', 'storageRequirements', 'copyrightHolder']https://gitlab.in2p3.fr/escape2020/wp3/ossr-curation/-/merge_requests/49[CURATE] WRaINfo - An open source library for weather radar information2023-01-11T10:14:48+01:00CI[CURATE] WRaINfo - An open source library for weather radar information=== Record #7521387 ===
Title: WRaINfo - An open source library for weather radar information
DOI: 10.5281/zenodo.7521387
URL: https://zenodo.org/record/7521387
WRaINfo is a software for real-time weather radar data p...=== Record #7521387 ===
Title: WRaINfo - An open source library for weather radar information
DOI: 10.5281/zenodo.7521387
URL: https://zenodo.org/record/7521387
WRaINfo is a software for real-time weather radar data processing developed by FERN.Lab, a technology and innovation platform of the German Research Centre for Geosciences Potsdam (GFZ). WRaINfo is specifically designed for processing X-band weather radar data of FURUNO. The submodules of the package allow to read raw data of the WR2120 and WR2100 and further process it to remove ground clutter, apply attenuation correction, estimate precipitation and georeference and grid the final data.
## Check the software checklist for the entry
- [ ] Contains valid codemeta.json (see validator output)
- [ ] Documentation is provided in the Zenodo entry (at least through codemeta)
- [ ] a stable versioned release of the project
- [ ] It is under an open-source license (see SPDX [https://spdx.org/licenses/])
- [ ] Follows a reasonable set of software development / software engineering practices (rough by-eye quality estimate)
## Complete onboarding issue
Related onboarding issue: XXX (to be entered by onboarding manager)
- [ ] Make sure all boxes of the checklist up to "Uploaded to Zenodo" are ticked
- [ ] Tick "software checklist completed" when done with the above
- [ ] When cleared for merging, tick "Added to Zenodo community/published" and change issue status to "closed"
----
**There are 9 warnings:**
- `memoryRequirements` not provided in the codemeta schema but is recommended
- `processorRequirements` not provided in the codemeta schema but is recommended
- `releaseNotes` not provided in the codemeta schema but is recommended
- `storageRequirements` not provided in the codemeta schema but is recommended
- `copyrightHolder` not provided in the codemeta schema but is recommended
- `funder` not provided in the codemeta schema but is recommended
- `identifier` not provided in the codemeta schema but is recommended
- `funding` not provided in the codemeta schema but is recommended
- `issueTracker` not provided in the codemeta schema but is recommended
----
**There are 1 errors:**.
- 'maintainer not provided in the codemeta schema but is required'https://gitlab.in2p3.fr/escape2020/wp3/ossr-curation/-/merge_requests/27[CURATE] GammaLearn2022-11-30T17:56:05+01:00Vuillaume[CURATE] GammaLearn=== Record #6522736 ===
Title: GammaLearn
DOI: 10.5281/zenodo.6522736
URL: https://zenodo.org/record/6522736
GammaLearn is a collaborative project to apply deep learning to the analysis of low-level Imaging Atmospheri...=== Record #6522736 ===
Title: GammaLearn
DOI: 10.5281/zenodo.6522736
URL: https://zenodo.org/record/6522736
GammaLearn is a collaborative project to apply deep learning to the analysis of low-level Imaging Atmospheric Cherenkov Telescopes such as CTA. It provides a framework to easily train and apply models from a configuration file. Learn more at https://purl.org/gammalearn
## Check the software checklist for the entry
- [x] Contains valid codemeta.json (see validator output)
- [x] Documentation is provided in the Zenodo entry (at least through codemeta)
- [x] a stable versioned release of the project
- [x] It is under an open-source license (see SPDX [https://spdx.org/licenses/])
- [x] Follows a reasonable set of software development / software engineering practices (rough by-eye quality estimate)
## Complete onboarding issue
Related onboarding issue: https://project.escape2020.de/issues/25
- [x] Make sure all boxes of the checklist up to "Uploaded to Zenodo" are ticked
- [x] Tick "software checklist completed" when done with the above
- [ ] When cleared for merging, tick "Added to Zenodo community/published" and change issue status to "closed"
----
**There are 5 warnings and 3 errors to take care of**.
Please check the CI
```
/Users/thomasvuillaume/Work/ESCAPE/dev/eossr/eossr/metadata/codemeta.py:70: CodemetaRecommendedWarning: `memoryRequirements` not provided in the codemeta schema but is recommended
warn(
/Users/thomasvuillaume/Work/ESCAPE/dev/eossr/eossr/metadata/codemeta.py:70: CodemetaRecommendedWarning: `processorRequirements` not provided in the codemeta schema but is recommended
warn(
/Users/thomasvuillaume/Work/ESCAPE/dev/eossr/eossr/metadata/codemeta.py:70: CodemetaRecommendedWarning: `storageRequirements` not provided in the codemeta schema but is recommended
warn(
/Users/thomasvuillaume/Work/ESCAPE/dev/eossr/eossr/metadata/codemeta.py:70: CodemetaRecommendedWarning: `copyrightHolder` not provided in the codemeta schema but is recommended
warn(
/Users/thomasvuillaume/Work/ESCAPE/dev/eossr/eossr/metadata/codemeta.py:70: CodemetaRecommendedWarning: `identifier` not provided in the codemeta schema but is recommended
warn(
'softwareVersion not provided in the codemeta schema but is required'
'maintainer not provided in the codemeta schema but is required'
'readme not provided in the codemeta schema but is required'
```Jutta SchnabelJutta Schnabelhttps://gitlab.in2p3.fr/escape2020/wp3/ossr-curation/-/merge_requests/39[CURATE] LOFAR software stack (ESCAPE 2020 edition)2022-09-21T15:12:38+02:00CI[CURATE] LOFAR software stack (ESCAPE 2020 edition)=== Record #7099820 ===
Title: LOFAR software stack (ESCAPE 2020 edition)
DOI: 10.5281/zenodo.7099820
URL: https://zenodo.org/record/7099820
LOFAR software stack for usage in the ESCAPE project. This is a Singularity ...=== Record #7099820 ===
Title: LOFAR software stack (ESCAPE 2020 edition)
DOI: 10.5281/zenodo.7099820
URL: https://zenodo.org/record/7099820
LOFAR software stack for usage in the ESCAPE project. This is a Singularity image of a specific version of the LOFAR software stack.
## Check the software checklist for the entry
- [x] Contains valid codemeta.json (see validator output)
- [x] Documentation is provided in the Zenodo entry (at least through codemeta)
- [x] a stable versioned release of the project
- [x] It is under an open-source license (see SPDX [https://spdx.org/licenses/])
- [x] Follows a reasonable set of software development / software engineering practices (rough by-eye quality estimate)
## Complete onboarding issue
Related onboarding issue: https://project.escape2020.de/issues/120
- [x] Make sure all boxes of the checklist up to "Uploaded to Zenodo" are ticked
- [x] Tick "software checklist completed" when done with the above
- [x] When cleared for merging, tick "Added to Zenodo community/published" and change issue status to "closed"
----
**There are 6 warnings:**
- `memoryRequirements` not provided in the codemeta schema but is recommended
- `processorRequirements` not provided in the codemeta schema but is recommended
- `releaseNotes` not provided in the codemeta schema but is recommended
- `storageRequirements` not provided in the codemeta schema but is recommended
- `copyrightHolder` not provided in the codemeta schema but is recommended
- `issueTracker` not provided in the codemeta schema but is recommended
----
**There are 3 errors:**.
- 'softwareVersion not provided in the codemeta schema but is required'
- 'maintainer not provided in the codemeta schema but is required'
- 'readme not provided in the codemeta schema but is required'VuillaumeVuillaumehttps://gitlab.in2p3.fr/escape2020/wp3/ossr-curation/-/merge_requests/28[CURATE] JColl88/sdc1-solution-binder: SDC1 Solution 1.0.02022-08-09T15:15:51+02:00Vuillaume[CURATE] JColl88/sdc1-solution-binder: SDC1 Solution 1.0.0=== Record #5526844 ===
Title: JColl88/sdc1-solution-binder: SDC1 Solution 1.0.0
DOI: 10.5281/zenodo.5526844
URL: https://zenodo.org/record/5526844
The SKA Science Data Challenge 1 (SDC1, https://astronomers.skatelesc...=== Record #5526844 ===
Title: JColl88/sdc1-solution-binder: SDC1 Solution 1.0.0
DOI: 10.5281/zenodo.5526844
URL: https://zenodo.org/record/5526844
The SKA Science Data Challenge 1 (SDC1, https://astronomers.skatelescope.org/ska-science-data-challenge-1/) tasked participants with identifying and classifying sources in synthetic radio images. Here we present an environment and workflow for producing a solution to this challenge that can easily be reproduced and developed further. Release 1.0.0 created to generate DOI and project on Zenodo.
## Check the software checklist for the entry
- [ ] Contains valid codemeta.json (see validator output)
- [ ] Documentation is provided in the Zenodo entry (at least through codemeta)
- [ ] a stable versioned release of the project
- [ ] It is under an open-source license (see SPDX [https://spdx.org/licenses/])
- [ ] Follows a reasonable set of software development / software engineering practices (rough by-eye quality estimate)
## Complete onboarding issue
Related onboarding issue: XXX (to be entered by onboarding manager)
- [ ] Make sure all boxes of the checklist up to "Uploaded to Zenodo" are ticked
- [ ] Tick "software checklist completed" when done with the above
- [ ] When cleared for merging, tick "Added to Zenodo community/published" and change issue status to "closed"
'softwareVersion not provided in the codemeta schema but is required'
'maintainer not provided in the codemeta schema but is required'
'readme not provided in the codemeta schema but is required'
----
**There are 7 warnings and 3 errors to take care of**.
Please check the CIhttps://gitlab.in2p3.fr/escape2020/wp3/ossr-curation/-/merge_requests/9[CURATE] cWB pipeline library: 6.4.12022-06-27T11:12:49+02:00CI[CURATE] cWB pipeline library: 6.4.1=== Record #5798976 ===
Title: cWB pipeline library: 6.4.1
DOI: 10.5281/zenodo.5798976
URL: https://zenodo.org/record/5798976
This new release (cWB-6.4.1) is a major upgrade of cWB: it fixes minor problems with the pr...=== Record #5798976 ===
Title: cWB pipeline library: 6.4.1
DOI: 10.5281/zenodo.5798976
URL: https://zenodo.org/record/5798976
This new release (cWB-6.4.1) is a major upgrade of cWB: it fixes minor problems with the previous version, and it extends some functionalities (such as cwb_gwosc interface) to gwosc data from the latest O3b data release. It is fully compatible (i.e. in terms of results) with the latest LIGO-Virgo-KAGRA published analyses/results on the data collected during the Third Observing run O3.
Besides the standard Makefiles, we provide an alternative installation method based on cmake, which should simplify the installation process.
See https://gwburst.gitlab.io/ for more details.
Public git repository: https://gitlab.com/gwburst/public/library
## Software Package Checklist
- [x] Stable Release
- [x] Open-Source License
- [ ] Provide a pointer to your version control development platform (GitHub, GitLab...) (optional)
- [ ] Consider providing a container image (optional)
- [ ] Reasonable set of software development / software engineering practices
- See for example:
[WOSSL docs](https://gitlab.in2p3.fr/escape2020/wp3/wossl/-/wikis/Best-Practices-for-software-development),
[Research Software Engineers](https://rse.dlr.de/), or
[Netherlands eScience Center Guide](https://guide.esciencecenter.nl/)
- [ ] Add a reasonably complete `codemeta.json` to your repository
- Check the
[codemeta.json docs here](https://escape2020.pages.in2p3.fr/wp3/ossr-pages/page/services/codemeta.md)
- Check our
[metadata template](https://gitlab.in2p3.fr/escape2020/wp3/escape_metadata_template)
- [ ] the ESCAPE grant has been added in Zenodo metadata (if applies)
## Onboarding Procedure Checklist
- [ ] Request [an issue](https://project.escape2020.de/issues/8) in the
[project platform](https://project.escape2020.de/projects/wp3-ossr)
to start the onboarding process by filling this [registration form](https://forms.gle/dLGjvEQ9BHfSQkcz7),
or contacting a repository maintainer.
- [ ] A short onboarding presentation should be held during an FG1 call using
[this template](https://cloud.escape2020.de/index.php/s/uDEC7oTMNsCfYAv),
an example can be found in
[this talk](https://indico.in2p3.fr/event/22516/contributions/87503/attachments/60378/82050/20201016%20-%20ESCAPE_GammaLearn.pdf).
Please book your date
[in this poll](https://terminplaner2.dfn.de/kb7eJw5inAICldFE).
- [ ] A technical report should be filed using [this template](https://cloud.escape2020.de/index.php/s/e2HIqX6Lerjs2Xx), an example can be found at [this tech report](https://cloud.escape2020.de/index.php/s/NFYygFz2uPZYBUF).Kay GrafKay Grafhttps://gitlab.in2p3.fr/escape2020/wp3/ossr-curation/-/merge_requests/22validate codemeta and add message to merge request2022-04-01T22:51:15+02:00Vuillaumevalidate codemeta and add message to merge requesthttps://gitlab.in2p3.fr/escape2020/wp3/ossr-curation/-/merge_requests/13Update ossr_curation/checklist.md2022-02-28T17:02:35+01:00VuillaumeUpdate ossr_curation/checklist.mdhttps://gitlab.in2p3.fr/escape2020/wp3/ossr-curation/-/merge_requests/11[CURATE] Dark matter constraints from dwarf galaxies: a data-driven LAT analysis2022-02-04T16:31:51+01:00CI[CURATE] Dark matter constraints from dwarf galaxies: a data-driven LAT analysis=== Record #5592836 ===
Title: Dark matter constraints from dwarf galaxies: a data-driven LAT analysis
DOI: 10.5281/zenodo.5592836
URL: https://zenodo.org/record/5592836
Python code to derive data-driven upper limits ...=== Record #5592836 ===
Title: Dark matter constraints from dwarf galaxies: a data-driven LAT analysis
DOI: 10.5281/zenodo.5592836
URL: https://zenodo.org/record/5592836
Python code to derive data-driven upper limits on the thermally averaged, velocity-weighted pair-annihilation cross-section (velocity-independent) of a user-defined particle dark matter model using the expected differential gamma-ray spectrum of pair-annihilation events (provided by the user) as well as 10 years of Fermi-LAT data from observations of the Milky Way´s dwarf spheroidal galaxies.
## Software Package Checklist
- [ ] Stable Release
- [ ] Open-Source License
- [ ] Provide a pointer to your version control development platform (GitHub, GitLab...) (optional)
- [ ] Consider providing a container image (optional)
- [ ] Reasonable set of software development / software engineering practices
- See for example:
[WOSSL docs](https://gitlab.in2p3.fr/escape2020/wp3/wossl/-/wikis/Best-Practices-for-software-development),
[Research Software Engineers](https://rse.dlr.de/), or
[Netherlands eScience Center Guide](https://guide.esciencecenter.nl/)
- [ ] Add a reasonably complete `codemeta.json` to your repository
- Check the
[codemeta.json docs here](https://escape2020.pages.in2p3.fr/wp3/ossr-pages/page/services/codemeta.md)
- Check our
[metadata template](https://gitlab.in2p3.fr/escape2020/wp3/escape_metadata_template)
- [ ] the ESCAPE grant has been added in Zenodo metadata (if applies)
## Onboarding Procedure Checklist
- [ ] Request [an issue](https://project.escape2020.de/issues/8) in the
[project platform](https://project.escape2020.de/projects/wp3-ossr)
to start the onboarding process by filling this [registration form](https://forms.gle/dLGjvEQ9BHfSQkcz7),
or contacting a repository maintainer.
- [ ] A short onboarding presentation should be held during an FG1 call using
[this template](https://cloud.escape2020.de/index.php/s/uDEC7oTMNsCfYAv),
an example can be found in
[this talk](https://indico.in2p3.fr/event/22516/contributions/87503/attachments/60378/82050/20201016%20-%20ESCAPE_GammaLearn.pdf).
Please book your date
[in this poll](https://terminplaner2.dfn.de/kb7eJw5inAICldFE).
- [ ] A technical report should be filed using [this template](https://cloud.escape2020.de/index.php/s/e2HIqX6Lerjs2Xx), an example can be found at [this tech report](https://cloud.escape2020.de/index.php/s/NFYygFz2uPZYBUF) or a sufficiently detailed documentation should be provided with the software