{"id":24623476,"url":"https://github.com/ThomasLecocq/msnoise-tomo","last_synced_at":"2025-10-06T16:31:17.882Z","repository":{"id":55525146,"uuid":"83684165","full_name":"ThomasLecocq/msnoise-tomo","owner":"ThomasLecocq","description":"The Ambient Noise Tomography Plugin for MSNoise","archived":false,"fork":false,"pushed_at":"2021-05-01T23:45:06.000Z","size":1896,"stargazers_count":21,"open_issues_count":17,"forks_count":16,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-12T16:47:22.839Z","etag":null,"topics":["imaging","noise","passive","python","research","seismic","seismology","signal-processing","tomography","volcanology"],"latest_commit_sha":null,"homepage":"http://www.msnoise.org","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"eupl-1.1","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ThomasLecocq.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2017-03-02T14:02:33.000Z","updated_at":"2024-10-17T16:00:05.000Z","dependencies_parsed_at":"2022-08-15T02:30:25.770Z","dependency_job_id":null,"html_url":"https://github.com/ThomasLecocq/msnoise-tomo","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ThomasLecocq/msnoise-tomo","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ThomasLecocq%2Fmsnoise-tomo","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ThomasLecocq%2Fmsnoise-tomo/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ThomasLecocq%2Fmsnoise-tomo/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ThomasLecocq%2Fmsnoise-tomo/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ThomasLecocq","download_url":"https://codeload.github.com/ThomasLecocq/msnoise-tomo/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ThomasLecocq%2Fmsnoise-tomo/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":278643612,"owners_count":26021150,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-06T02:00:05.630Z","response_time":65,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["imaging","noise","passive","python","research","seismic","seismology","signal-processing","tomography","volcanology"],"created_at":"2025-01-25T03:57:35.851Z","updated_at":"2025-10-06T16:31:17.113Z","avatar_url":"https://github.com/ThomasLecocq.png","language":"Python","funding_links":[],"categories":["Imaging"],"sub_categories":[],"readme":"# MSNoise-Tomo\n\n[![Build Status](https://travis-ci.org/ThomasLecocq/msnoise-tomo.png)](https://travis-ci.org/ThomasLecocq/msnoise-tomo)\n[![Build status](https://ci.appveyor.com/api/projects/status/hkaxi68hikwu6any/branch/master?svg=true)](https://ci.appveyor.com/project/ThomasLecocq/msnoise-tomo/branch/master)\n\n\nMSNoise-Tomo is a plugin to the MSNoise framework, allowing to branch from the [REF stack](http://msnoise.org/doc/workflow/006_stack.html) to compute FTAN, dispersion curves and 2D period maps. \n\nMSNoise-Tomo is developed by Thomas Lecocq (Royal Observatory of Belgium, ROB) based on original codes from A. Mordret and M. Landès (IPGP, 2013).\n\nReferences\n----------\n* Mordret, A., Landès, M., Shapiro, N.M., Singh, S.C., Roux, P., Barkved, O.I., 2013. Near-surface study at the Valhall oil field from ambient noise surface wave tomography. Geophys. J. Int. 193, 1627–1643. https://doi.org/10.1093/gji/ggt061\n* Barmin, M.P., Ritzwoller, M.H., Levshin, A.L., 2001. A Fast and Reliable Method for Surface Wave Tomography. Pure and Applied Geophysics 158, 1351–1375. https://doi.org/10.1007/PL00001225\n\nDocumentation\n-------------\n\nThe documentation is available at http://msnoise.org/plugins/msnoise-tomo/doc/\n\nInstallation\n------------\n\nCreate a new environment using conda:\n\n* conda create -n tomo -c conda-forge python=3.7 obspy=1.1.1 msnoise shapely pyproj\n* conda activate tomo\n\nThen, the code can be installed from scratch using this repository, or using precompiled python wheels:\n\n* Windows:http://msnoise.org/plugins/msnoise-tomo/msnoise_tomo-0.1b0-cp37-cp37m-win_amd64.whl \n* Linux: http://msnoise.org/plugins/msnoise-tomo/msnoise_tomo-0.1b0-cp37-cp37m-linux_x86_64.whl \n* MacOS:http://msnoise.org/plugins/msnoise-tomo/msnoise_tomo-0.1b0-cp37-cp37m-macosx_10_9_x86_64.whl\n\nRemember, always consider the current GitHub *master* as not stable!\n\nCommercial Usage\n----------------\nIf you plan to use MSNoise-TOMO for commercial purposes, please contact Thomas\nLecocq directly.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FThomasLecocq%2Fmsnoise-tomo","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FThomasLecocq%2Fmsnoise-tomo","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FThomasLecocq%2Fmsnoise-tomo/lists"}