{"id":19300207,"url":"https://github.com/mithaystack/mips","last_synced_at":"2026-06-19T00:32:01.590Z","repository":{"id":65894130,"uuid":"525117026","full_name":"MITHaystack/MIPS","owner":"MITHaystack","description":"MIPS (MIT Incoherent Scatter Performance Simulator)","archived":false,"fork":false,"pushed_at":"2025-04-15T23:38:46.000Z","size":23799,"stargazers_count":3,"open_issues_count":1,"forks_count":0,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-11-15T08:34:01.537Z","etag":null,"topics":["geospace","incoherent","radar","scatter","simulator"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/MITHaystack.png","metadata":{"files":{"readme":"README.rst","changelog":"CHANGELOG.rst","contributing":"CONTRIBUTING.rst","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2022-08-15T19:42:56.000Z","updated_at":"2025-04-15T23:38:50.000Z","dependencies_parsed_at":"2025-04-16T00:37:45.122Z","dependency_job_id":null,"html_url":"https://github.com/MITHaystack/MIPS","commit_stats":{"total_commits":72,"total_committers":2,"mean_commits":36.0,"dds":"0.36111111111111116","last_synced_commit":"c955ce6c7979d428cf8b610149766f1b3bcb92a5"},"previous_names":[],"tags_count":5,"template":false,"template_full_name":null,"purl":"pkg:github/MITHaystack/MIPS","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MITHaystack%2FMIPS","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MITHaystack%2FMIPS/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MITHaystack%2FMIPS/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MITHaystack%2FMIPS/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MITHaystack","download_url":"https://codeload.github.com/MITHaystack/MIPS/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MITHaystack%2FMIPS/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34513020,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-18T02:00:06.871Z","response_time":128,"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":["geospace","incoherent","radar","scatter","simulator"],"created_at":"2024-11-09T23:14:08.693Z","updated_at":"2026-06-19T00:32:01.547Z","avatar_url":"https://github.com/MITHaystack.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":".. -*- mode: rst -*-\n\nMIT Incoherent Scatter Performance Simulator (MIPS)\n===================================================\n\n\nMIPS is a tool for simulating the performance of incoherent scatter radar\nsystems and networks of such radars. MIPS is a physics\nbased radar performance model that incorporates first and second order effects\nand measurement statistics. The model is parameterized and allows\nstraightforward optimization and design tradeoffs to be evaluated for IS radar\nperformance metrics (e.g. SNR, measurement speed, estimation errors, etc).\n\nFor incoherent scatter radar (IS radar) applications studying the near-Earth space\nenvironment, the instrument design parameter space for a modern Geospace\nRadar is very large. Particular areas of design freedom include transmitted\nwaveforms (e.g. required bandwidth, center frequency, duty cycle), array\nconfiguration (e.g. element number and configuration), spatial diversity\n(monostatic vs. locally bistatic), receiver sensitivity tradeoffs, and power-aperture\nproduct choices (e.g. high power with few elements versus low power with many\nelements).\n\nImportant Links\n===============\n\n:Official source code repo: https://github.com/MITHaystack/MIPS\n:Issue tracker: https://github.com/MITHaystack/MIPS/issues\n\n\nCitation\n========\n\nIf you use MIPS in a scientific publication, we would appreciate a citation such as the following (BibTeX_):\n\nP. J. Erickson, J. Vierinen, F. D. Lind and R. Volz, \"The MIT Incoherent Scatter Performance Simulator (MIPS),\" 2017 United States National Committee of URSI National Radio Science Meeting\n(USNC-URSI NRSM), 2017, pp. 1-2, doi: 10.1109/USNC-URSI-NRSM.2017.7878319.\n\n.. _BibTeX: bibtex.bib\n\n\nDependencies\n============\n\nThe main package components are in the source directory and are divided into MIPS\nrelated libraries and examples of using the simulator.\n\nBuild\n-----\n\npython\n\n  * madrigalWeb\n  * numpy\n  * scipy\n  * matplotlib\n  * xarray\n  * yamale\n  * h5py\n  * iri2016\n  * ISRSpectrum\u003e=3.2.2\n  * h5netcdf\n  * netcdf4\n  * astropy\n  * cartopy\n\nInstallation\n============\n\nMake sure the above libraries have been installed.\n\nCreate the Python distribution file:\n\npython setup.py bdist_egg\n\nThen install using pip:\n\npip install -e .\n\n\nExample Usage\n=============\n\nA small set of Python examples can be found in the examples directory in the source tree.\n\nMIPS usage can be somewhat complex due to the wide range of radar configurations,\nionospheric conditions, and subtleties related to coding and radar scattering\ngeometry.\n\ncd examples\n\n   * python mips_performance_sim.py\n   * python mips_zenith_comparison.py\n   * python mips_misa_mapping.py\n   * python mips_esicat3d_mapping.py\n\nIt is recommended that you discuss applications of MIPS with the development team\nprior to use in any publications.\n\n\nAcknowledgments\n===============\n\nThis work was supported by the National Science Foundation under the AGS Geospace\nFacilities program. We are grateful for the support that made this development\npossible.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmithaystack%2Fmips","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmithaystack%2Fmips","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmithaystack%2Fmips/lists"}