{"id":21494113,"url":"https://github.com/grburgess/pyipn","last_synced_at":"2026-02-25T07:04:21.374Z","repository":{"id":49449536,"uuid":"183258579","full_name":"grburgess/pyipn","owner":"grburgess","description":"A time-delayed light curve simulation code for GRB location triangulation via random Fourier features.","archived":false,"fork":false,"pushed_at":"2021-06-17T09:42:02.000Z","size":49895,"stargazers_count":7,"open_issues_count":1,"forks_count":6,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-07-16T13:22:59.328Z","etag":null,"topics":["astronomy","bayesian-inference","grb","ipn","localization","multi-messenger","poisson-process","random-fourier-features","stan","time-series-analysis"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/grburgess.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"docs/contributing.rst","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2019-04-24T15:38:18.000Z","updated_at":"2024-05-17T06:08:37.000Z","dependencies_parsed_at":"2022-09-06T13:13:26.899Z","dependency_job_id":null,"html_url":"https://github.com/grburgess/pyipn","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/grburgess/pyipn","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/grburgess%2Fpyipn","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/grburgess%2Fpyipn/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/grburgess%2Fpyipn/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/grburgess%2Fpyipn/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/grburgess","download_url":"https://codeload.github.com/grburgess/pyipn/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/grburgess%2Fpyipn/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29813409,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-25T05:36:42.804Z","status":"ssl_error","status_checked_at":"2026-02-25T05:36:31.934Z","response_time":61,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["astronomy","bayesian-inference","grb","ipn","localization","multi-messenger","poisson-process","random-fourier-features","stan","time-series-analysis"],"created_at":"2024-11-23T15:49:06.106Z","updated_at":"2026-02-25T07:04:21.348Z","avatar_url":"https://github.com/grburgess.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"[![Travis CI w/ Logo](https://img.shields.io/travis/grburgess/pyipn/master.svg?logo=travis)](https://travis-ci.org/grburgess/pyipn)  [![codecov](https://codecov.io/gh/grburgess/pyipn/branch/master/graph/badge.svg)](https://codecov.io/gh/grburgess/pyipn)\n[![PyPi Downloads](http://pepy.tech/badge/pyipn)](http://pepy.tech/project/pyipn)\n[![PyPI version fury.io](https://badge.fury.io/py/pyipn.svg)](https://pypi.python.org/pypi/pyipn/)\n[![Documentation Status](https://readthedocs.org/projects/pyipn/badge/?version=latest)](https://pyipn.readthedocs.io/?badge=latest)\n![GitHub contributors](https://img.shields.io/github/contributors/grburgess/pyipn)\n[![astropy](http://img.shields.io/badge/powered%20by-AstroPy-orange.svg?style=flat)](http://www.astropy.org/)\n\n\n# pyipn\n\n![alt text](https://raw.githubusercontent.com/grburgess/pyipn/master/logo.png)\n\nPyIPN is a tool for simulating GRB light curves observed by gamma-ray detectors dispersed throughout the Universe (theorectically, but mostly in the Sol system). \n\nThe sister fitting code that recovers the time-delays and localizations of the simulated GRBs is [Nazgul](https://github.com/grburgess/nazgul). \n\nThis work is built upon the classical [InterPlanetary Network (IPN)](http://www.ssl.berkeley.edu/ipn3/) developed to do source tringulation via cross-corelation of the observed light curves. \n\n---\n\nThis work is a joint effort by:\n\n* J. Michael Burgess\n* Ewan Cameron\n* Dmitry Svinkin\n\n---\n\nIf you find this work useful, please cite  our paper [here](https://arxiv.org/abs/2009.08350)\n\n## Install\n\n```bash\n$\u003e pip install pyipn\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgrburgess%2Fpyipn","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgrburgess%2Fpyipn","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgrburgess%2Fpyipn/lists"}