15065761 report - OSSR Reports

Repository Information

Repository Name: CTLearn: Deep learning for imaging atmospheric Cherenkov telescopes event reconstruction
Record ID: 15065761
Repository URL: https://github.com/ctlearn-project/ctlearn
Tool Type: SoftwareSourceCode
Version: 0.10.2

Results

Indicator	generated by	evidence	Value	Run Status	Check passed
https://w3id.org/everse/i/indicators/codemeta_completeness	Codemeta Completeness Tool	Codemeta completeness = 37.8%, minimal threshold to consider this check to pass is set to 20.0%. Found ['codeRepository', 'programmingLanguage', 'applicationCategory', 'downloadUrl', 'operatingSystem', 'softwareRequirements', 'softwareVersion', 'author', 'contributor', 'dateModified', 'datePublished', 'funder', 'keywords', 'license', 'version', 'isPartOf', 'description', 'identifier', 'name', 'identifier', 'name', 'maintainer', 'contIntegration', 'developmentStatus', 'funding', 'issueTracker', 'referencePublication', 'readme'] keys in codemeta file.	0.3783783783783784	✅	✅
https://w3id.org/everse/i/indicators/codemeta_completeness	Codemeta Completeness Tool	Codemeta completeness = 37.8%, minimal threshold to consider this check to pass is set to 50.0%. Found ['codeRepository', 'programmingLanguage', 'applicationCategory', 'downloadUrl', 'operatingSystem', 'softwareRequirements', 'softwareVersion', 'author', 'contributor', 'dateModified', 'datePublished', 'funder', 'keywords', 'license', 'version', 'isPartOf', 'description', 'identifier', 'name', 'identifier', 'name', 'maintainer', 'contIntegration', 'developmentStatus', 'funding', 'issueTracker', 'referencePublication', 'readme'] keys in codemeta file.	0.3783783783783784	✅	❌
https://w3id.org/everse/i/indicators/doi_presence	SOMEF	DOI not found in SOMEF output. Confidence: 0.0%		❌	❌
https://w3id.org/everse/i/indicators/codemeta_discrepancy	SOMEF, Codemeta Completeness Tool	Comparison value: 0.6176470588235294, Threshold: 0.5, Status: True	0.6176470588235294	❌	✅

Results Output

https://w3id.org/everse/i/indicators/codemeta_completeness

Status: CompletedActionStatus
Value: 0.38
Evidence: Codemeta completeness = 37.8%, minimal threshold to consider this check to pass is set to 20.0%. Found ['codeRepository', 'programmingLanguage', 'applicationCategory', 'downloadUrl', 'operatingSystem', 'softwareRequirements', 'softwareVersion', 'author', 'contributor', 'dateModified', 'datePublished', 'funder', 'keywords', 'license', 'version', 'isPartOf', 'description', 'identifier', 'name', 'identifier', 'name', 'maintainer', 'contIntegration', 'developmentStatus', 'funding', 'issueTracker', 'referencePublication', 'readme'] keys in codemeta file.
Output:

{"pass": true, "value": 0.3783783783783784, "codemeta_dict": {"@context": "https://doi.org/10.5063/schema/codemeta-2.0", "@type": "SoftwareSourceCode", "license": "https://spdx.org/licenses/BSD-3-Clause", "codeRepository": "https://github.com/ctlearn-project/ctlearn", "contIntegration": "https://github.com/ctlearn-project/ctlearn/actions", "datePublished": "2023-05-08", "dateModified": "2025-03-21", "downloadUrl": "https://zenodo.org/record/5947837/files/ctlearn-project/ctlearn-v0.10.2.zip", "issueTracker": "https://github.com/ctlearn-project/ctlearn/issues", "name": "CTLearn: Deep learning for imaging atmospheric Cherenkov telescopes event reconstruction", "readme": "https://ctlearn.readthedocs.io", "version": "0.10.2", "softwareVersion": "0.10.2", "identifier": "10.5281/zenodo.3342952", "description": "CTLearn is a high-level Python package providing a backend for training deep learning models for the reconstruction of imaging atmospheric Cherenkov telescope events using TensorFlow.", "applicationCategory": "Astronomy", "funding": "ESCAPE 824064", "developmentStatus": "active", "isPartOf": "https://github.com/ctlearn-project", "referencePublication": "https://doi.org/10.5281/zenodo.3342952", "funder": {"@type": "Organization", "name": "European Union's Horizon 2020 research and innovation programme"}, "keywords": ["Imaging atmospheric Cherenkov telescopes", "Deep learning", "High energy physics", "Event reconstruction"], "programmingLanguage": ["Python 3"], "operatingSystem": ["Linux", "MacOS"], "softwareRequirements": ["Python 3", "TensorFlow 2", "astropy", "scikit-learn", "ctapipe", "DL1DataHandler", "numba", "NumPy", "PyYAML", "PyDot", "Pandas"], "author": [{"@type": "Person", "@id": "https://orcid.org/0000-0003-1821-7964", "givenName": "Tjark", "familyName": "Miener", "affiliation": {"@type": "Organization", "name": "D\u00e9partement de Physique Nucl\u00e9aire et Corpusculaire, Univertit\u00e9 de Gen\u00e8ve, Gen\u00e8ve, Switzerland"}}, {"@type": "Person", "@id": "https://orcid.org/0000-0003-3343-0755", "givenName": "Daniel", "familyName": "Nieto", "email": "d.nieto@ucm.es", "affiliation": {"@type": "Organization", "name": "Instituto de F\u00edsica de Part\u00edculas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain "}}, {"@type": "Person", "@id": " https://orcid.org/ 0000-0002-6208-5244", "givenName": "Ari", "familyName": "Brill"}, {"@type": "Person", "givenName": "Bryan", "familyName": "Kim", "affiliation": {"@type": "Organization", "name": "University of California Los Angeles, Division of Astronomy and Astrophysics, Los Angeles, CA, USA"}}, {"@type": "Person", "@id": " https://orcid.org/0000-0001-6674-4238", "givenName": "Qi", "familyName": "Feng", "affiliation": {"@type": "Organization", "name": "Barnard College, Columbia University, New York, NY, USA"}}], "contributor": [{"@type": "Person", "@id": " https://orcid.org/0009-0007-1566-9507", "givenName": "Alexander", "familyName": "Cervi\u00f1o Cort\u00ednez", "affiliation": {"@type": "Organization", "name": "Instituto de F\u00edsica de Part\u00edculas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain"}}, {"@type": "Person", "@id": " https://orcid.org/0000-0002-4454-1146", "givenName": "Jaime", "familyName": "Sevilla", "affiliation": {"@type": "Organization", "name": "Facultad de Ingenier\u00eda Inform\u00e1tica, Universidad Complutense de Madrid, Madrid, Spain"}}], "maintainer": [{"@type": "Person", "@id": "https://orcid.org/0000-0003-3343-0755", "givenName": "Daniel", "familyName": "Nieto", "email": "d.nieto@ucm.es", "affiliation": {"@type": "Organization", "name": "Instituto de F\u00edsica de Part\u00edculas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain "}}, {"@type": "Person", "@id": "https://orcid.org/0000-0003-1821-7964", "givenName": "Tjark", "familyName": "Miener", "affiliation": {"@type": "Organization", "name": "D\u00e9partement de Physique Nucl\u00e9aire et Corpusculaire, Univertit\u00e9 de Gen\u00e8ve, Gen\u00e8ve, Switzerland"}}]}, "threshold": 0.2}

https://w3id.org/everse/i/indicators/codemeta_completeness

Status: CompletedActionStatus
Value: 0.38
Evidence: Codemeta completeness = 37.8%, minimal threshold to consider this check to pass is set to 50.0%. Found ['codeRepository', 'programmingLanguage', 'applicationCategory', 'downloadUrl', 'operatingSystem', 'softwareRequirements', 'softwareVersion', 'author', 'contributor', 'dateModified', 'datePublished', 'funder', 'keywords', 'license', 'version', 'isPartOf', 'description', 'identifier', 'name', 'identifier', 'name', 'maintainer', 'contIntegration', 'developmentStatus', 'funding', 'issueTracker', 'referencePublication', 'readme'] keys in codemeta file.
Output:

{"pass": false, "value": 0.3783783783783784, "codemeta_dict": {"@context": "https://doi.org/10.5063/schema/codemeta-2.0", "@type": "SoftwareSourceCode", "license": "https://spdx.org/licenses/BSD-3-Clause", "codeRepository": "https://github.com/ctlearn-project/ctlearn", "contIntegration": "https://github.com/ctlearn-project/ctlearn/actions", "datePublished": "2023-05-08", "dateModified": "2025-03-21", "downloadUrl": "https://zenodo.org/record/5947837/files/ctlearn-project/ctlearn-v0.10.2.zip", "issueTracker": "https://github.com/ctlearn-project/ctlearn/issues", "name": "CTLearn: Deep learning for imaging atmospheric Cherenkov telescopes event reconstruction", "readme": "https://ctlearn.readthedocs.io", "version": "0.10.2", "softwareVersion": "0.10.2", "identifier": "10.5281/zenodo.3342952", "description": "CTLearn is a high-level Python package providing a backend for training deep learning models for the reconstruction of imaging atmospheric Cherenkov telescope events using TensorFlow.", "applicationCategory": "Astronomy", "funding": "ESCAPE 824064", "developmentStatus": "active", "isPartOf": "https://github.com/ctlearn-project", "referencePublication": "https://doi.org/10.5281/zenodo.3342952", "funder": {"@type": "Organization", "name": "European Union's Horizon 2020 research and innovation programme"}, "keywords": ["Imaging atmospheric Cherenkov telescopes", "Deep learning", "High energy physics", "Event reconstruction"], "programmingLanguage": ["Python 3"], "operatingSystem": ["Linux", "MacOS"], "softwareRequirements": ["Python 3", "TensorFlow 2", "astropy", "scikit-learn", "ctapipe", "DL1DataHandler", "numba", "NumPy", "PyYAML", "PyDot", "Pandas"], "author": [{"@type": "Person", "@id": "https://orcid.org/0000-0003-1821-7964", "givenName": "Tjark", "familyName": "Miener", "affiliation": {"@type": "Organization", "name": "D\u00e9partement de Physique Nucl\u00e9aire et Corpusculaire, Univertit\u00e9 de Gen\u00e8ve, Gen\u00e8ve, Switzerland"}}, {"@type": "Person", "@id": "https://orcid.org/0000-0003-3343-0755", "givenName": "Daniel", "familyName": "Nieto", "email": "d.nieto@ucm.es", "affiliation": {"@type": "Organization", "name": "Instituto de F\u00edsica de Part\u00edculas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain "}}, {"@type": "Person", "@id": " https://orcid.org/ 0000-0002-6208-5244", "givenName": "Ari", "familyName": "Brill"}, {"@type": "Person", "givenName": "Bryan", "familyName": "Kim", "affiliation": {"@type": "Organization", "name": "University of California Los Angeles, Division of Astronomy and Astrophysics, Los Angeles, CA, USA"}}, {"@type": "Person", "@id": " https://orcid.org/0000-0001-6674-4238", "givenName": "Qi", "familyName": "Feng", "affiliation": {"@type": "Organization", "name": "Barnard College, Columbia University, New York, NY, USA"}}], "contributor": [{"@type": "Person", "@id": " https://orcid.org/0009-0007-1566-9507", "givenName": "Alexander", "familyName": "Cervi\u00f1o Cort\u00ednez", "affiliation": {"@type": "Organization", "name": "Instituto de F\u00edsica de Part\u00edculas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain"}}, {"@type": "Person", "@id": " https://orcid.org/0000-0002-4454-1146", "givenName": "Jaime", "familyName": "Sevilla", "affiliation": {"@type": "Organization", "name": "Facultad de Ingenier\u00eda Inform\u00e1tica, Universidad Complutense de Madrid, Madrid, Spain"}}], "maintainer": [{"@type": "Person", "@id": "https://orcid.org/0000-0003-3343-0755", "givenName": "Daniel", "familyName": "Nieto", "email": "d.nieto@ucm.es", "affiliation": {"@type": "Organization", "name": "Instituto de F\u00edsica de Part\u00edculas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain "}}, {"@type": "Person", "@id": "https://orcid.org/0000-0003-1821-7964", "givenName": "Tjark", "familyName": "Miener", "affiliation": {"@type": "Organization", "name": "D\u00e9partement de Physique Nucl\u00e9aire et Corpusculaire, Univertit\u00e9 de Gen\u00e8ve, Gen\u00e8ve, Switzerland"}}]}, "threshold": 0.5}

https://w3id.org/everse/i/indicators/codemeta_discrepancy

Status: FailedActionStatus
Value: 0.62
Evidence: Comparison value: 0.6176470588235294, Threshold: 0.5, Status: True
Output:

{"pass": true, "value": 0.6176470588235294, "threshold": 0.5, "results": {"completeness_1": 0.3783783783783784, "codemeta_version_1": "codemeta-2.0", "codemeta_version_2": "codemeta-3.0", "completeness_2": 0.0, "missing_keys_1": ["runtimePlatform", "targetProduct", "applicationSubCategory", "fileSize", "installUrl", "memoryRequirements", "permissions", "processorRequirements", "releaseNotes", "softwareHelp", "storageRequirements", "supportingData", "citation", "copyrightHolder", "copyrightYear", "dateCreated", "editor", "encoding", "fileFormat", "producer", "provider", "publisher", "sponsor", "isAccessibleForFree", "hasPart", "position", "sameAs", "url", "relatedLink", "givenName", "familyName", "email", "affiliation", "address", "", "", "softwareSuggestions", "buildInstructions", "embargoDate", "creator", "", "", "", "endDate", "roleName", "startDate"], "missing_keys_2": ["codeRepository", "programmingLanguage", "runtimePlatform", "targetProduct", "applicationCategory", "applicationSubCategory", "downloadUrl", "fileSize", "installUrl", "memoryRequirements", "operatingSystem", "permissions", "processorRequirements", "releaseNotes", "softwareHelp", "softwareRequirements", "softwareVersion", "storageRequirements", "supportingData", "author", "citation", "contributor", "copyrightHolder", "copyrightYear", "dateCreated", "dateModified", "datePublished", "editor", "encoding", "fileFormat", "funder", "keywords", "license", "producer", "provider", "publisher", "sponsor", "version", "isAccessibleForFree", "isPartOf", "hasPart", "position", "description", "identifier", "name", "sameAs", "url", "relatedLink", "givenName", "familyName", "email", "affiliation", "identifier", "name", "address", "", "", "softwareSuggestions", "maintainer", "continuousIntegration", "buildInstructions", "developmentStatus", "embargoEndDate", "funding", "issueTracker", "referencePublication", "readme", "creator", "review", "reviewAspect", "reviewBody", "endDate", "roleName", "startDate"], "existing_keys_1": ["codeRepository", "programmingLanguage", "applicationCategory", "downloadUrl", "operatingSystem", "softwareRequirements", "softwareVersion", "author", "contributor", "dateModified", "datePublished", "funder", "keywords", "license", "version", "isPartOf", "description", "identifier", "name", "identifier", "name", "maintainer", "contIntegration", "developmentStatus", "funding", "issueTracker", "referencePublication", "readme"], "existing_keys_2": [], "differences": {"codeRepository": {"value_in_1": "https://github.com/ctlearn-project/ctlearn", "value_in_2": null}, "programmingLanguage": {"value_in_1": ["Python 3"], "value_in_2": null}, "applicationCategory": {"value_in_1": "Astronomy", "value_in_2": null}, "downloadUrl": {"value_in_1": "https://zenodo.org/record/5947837/files/ctlearn-project/ctlearn-v0.10.2.zip", "value_in_2": null}, "operatingSystem": {"value_in_1": ["Linux", "MacOS"], "value_in_2": null}, "softwareRequirements": {"value_in_1": ["Python 3", "TensorFlow 2", "astropy", "scikit-learn", "ctapipe", "DL1DataHandler", "numba", "NumPy", "PyYAML", "PyDot", "Pandas"], "value_in_2": null}, "softwareVersion": {"value_in_1": "0.10.2", "value_in_2": null}, "author": {"value_in_1": [{"@type": "Person", "@id": "https://orcid.org/0000-0003-1821-7964", "givenName": "Tjark", "familyName": "Miener", "affiliation": {"@type": "Organization", "name": "D\u00e9partement de Physique Nucl\u00e9aire et Corpusculaire, Univertit\u00e9 de Gen\u00e8ve, Gen\u00e8ve, Switzerland"}}, {"@type": "Person", "@id": "https://orcid.org/0000-0003-3343-0755", "givenName": "Daniel", "familyName": "Nieto", "email": "d.nieto@ucm.es", "affiliation": {"@type": "Organization", "name": "Instituto de F\u00edsica de Part\u00edculas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain "}}, {"@type": "Person", "@id": " https://orcid.org/ 0000-0002-6208-5244", "givenName": "Ari", "familyName": "Brill"}, {"@type": "Person", "givenName": "Bryan", "familyName": "Kim", "affiliation": {"@type": "Organization", "name": "University of California Los Angeles, Division of Astronomy and Astrophysics, Los Angeles, CA, USA"}}, {"@type": "Person", "@id": " https://orcid.org/0000-0001-6674-4238", "givenName": "Qi", "familyName": "Feng", "affiliation": {"@type": "Organization", "name": "Barnard College, Columbia University, New York, NY, USA"}}], "value_in_2": null}, "contributor": {"value_in_1": [{"@type": "Person", "@id": " https://orcid.org/0009-0007-1566-9507", "givenName": "Alexander", "familyName": "Cervi\u00f1o Cort\u00ednez", "affiliation": {"@type": "Organization", "name": "Instituto de F\u00edsica de Part\u00edculas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain"}}, {"@type": "Person", "@id": " https://orcid.org/0000-0002-4454-1146", "givenName": "Jaime", "familyName": "Sevilla", "affiliation": {"@type": "Organization", "name": "Facultad de Ingenier\u00eda Inform\u00e1tica, Universidad Complutense de Madrid, Madrid, Spain"}}], "value_in_2": null}, "dateModified": {"value_in_1": "2025-03-21", "value_in_2": null}, "datePublished": {"value_in_1": "2023-05-08", "value_in_2": null}, "funder": {"value_in_1": {"@type": "Organization", "name": "European Union's Horizon 2020 research and innovation programme"}, "value_in_2": null}, "keywords": {"value_in_1": ["Imaging atmospheric Cherenkov telescopes", "Deep learning", "High energy physics", "Event reconstruction"], "value_in_2": null}, "license": {"value_in_1": "https://spdx.org/licenses/BSD-3-Clause", "value_in_2": null}, "version": {"value_in_1": "0.10.2", "value_in_2": null}, "isPartOf": {"value_in_1": "https://github.com/ctlearn-project", "value_in_2": null}, "description": {"value_in_1": "CTLearn is a high-level Python package providing a backend for training deep learning models for the reconstruction of imaging atmospheric Cherenkov telescope events using TensorFlow.", "value_in_2": null}, "identifier": {"value_in_1": "10.5281/zenodo.3342952", "value_in_2": null}, "name": {"value_in_1": "CTLearn: Deep learning for imaging atmospheric Cherenkov telescopes event reconstruction", "value_in_2": null}, "maintainer": {"value_in_1": [{"@type": "Person", "@id": "https://orcid.org/0000-0003-3343-0755", "givenName": "Daniel", "familyName": "Nieto", "email": "d.nieto@ucm.es", "affiliation": {"@type": "Organization", "name": "Instituto de F\u00edsica de Part\u00edculas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain "}}, {"@type": "Person", "@id": "https://orcid.org/0000-0003-1821-7964", "givenName": "Tjark", "familyName": "Miener", "affiliation": {"@type": "Organization", "name": "D\u00e9partement de Physique Nucl\u00e9aire et Corpusculaire, Univertit\u00e9 de Gen\u00e8ve, Gen\u00e8ve, Switzerland"}}], "value_in_2": null}, "contIntegration": {"value_in_1": "https://github.com/ctlearn-project/ctlearn/actions", "value_in_2": null}, "developmentStatus": {"value_in_1": "active", "value_in_2": null}, "funding": {"value_in_1": "ESCAPE 824064", "value_in_2": null}, "issueTracker": {"value_in_1": "https://github.com/ctlearn-project/ctlearn/issues", "value_in_2": null}, "referencePublication": {"value_in_1": "https://doi.org/10.5281/zenodo.3342952", "value_in_2": null}, "readme": {"value_in_1": "https://ctlearn.readthedocs.io", "value_in_2": null}}, "equivalences": {"runtimePlatform": null, "targetProduct": null, "applicationSubCategory": null, "fileSize": null, "installUrl": null, "memoryRequirements": null, "permissions": null, "processorRequirements": null, "releaseNotes": null, "softwareHelp": null, "storageRequirements": null, "supportingData": null, "citation": null, "copyrightHolder": null, "copyrightYear": null, "dateCreated": null, "editor": null, "encoding": null, "fileFormat": null, "producer": null, "provider": null, "publisher": null, "sponsor": null, "isAccessibleForFree": null, "hasPart": null, "position": null, "sameAs": null, "url": null, "relatedLink": null, "givenName": null, "familyName": null, "email": null, "affiliation": null, "address": null, "": null, "softwareSuggestions": null, "buildInstructions": null, "embargoDate": null, "creator": null, "endDate": null, "roleName": null, "startDate": null}}}

Logs

Log File: docs/records/15065761/15065761_codemeta_completeness_tool_log.txt

[codemeta completeness tool] Running Codemeta Completeness Tool on record ID: 15065761

Log File: docs/records/15065761/15065761_somef_log.txt

Running SOMEF on repository: https://github.com/ctlearn-project/ctlearn
SOftware Metadata Extraction Framework (SOMEF) Command Line Interface

Error: Please provide a config.json file or run somef configure.

[Somef Tool] Error occurred while processing record ID 15065761: somef file docs/records/15065761/15065761_somef.json does not exist

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