https://aurorax.space/assets/HomePage-DZfBlDJs.js

1import{a as e}from"./rolldown-runtime-B0Z9INg1.js";import{m as t}from"./echarts-vendor-DwyZT1B4.js";import{i as n,r,t as i}from"./react-vendor-BV-d5lPe.js";import{i as a,r as o,t as s}from"./newsPosts-Dw3ZQzlY.js";var c=e(t(),1),l=i(),u=({count:e=3})=>{let t=a(e);return t.length===0?null:(0,l.jsx)(`section`,{className:`home-news`,"aria-labelledby":`home-news-heading`,children:(0,l.jsxs)(`div`,{className:`home-news-inner`,children:[(0,l.jsxs)(`div`,{className:`home-news-header`,children:[(0,l.jsx)(`h3`,{id:`home-news-heading`,children:`Latest News`}),(0,l.jsx)(r,{to:`/news`,className:`home-news-all`,children:`All news →`})]}),(0,l.jsx)(`div`,{className:`home-news-cards`,children:t.map(e=>(0,l.jsxs)(r,{to:`/news#${e.id}`,className:`home-news-card`,children:[(0,l.jsx)(`time`,{className:`home-news-date`,dateTime:e.date,children:o(e.date)}),(0,l.jsx)(`span`,{className:`home-news-title`,children:e.title}),(0,l.jsx)(`span`,{className:`home-news-excerpt`,children:e.excerpt})]},e.id))}),(0,l.jsxs)(`p`,{className:`home-news-elsewhere`,children:[`More news:`,` `,s.map((e,t)=>(0,l.jsxs)(c.Fragment,{children:[t>0?` · `:null,(0,l.jsx)(`a`,{href:e.href,target:`_blank`,rel:`noreferrer`,children:e.label})]},e.href))]})]})})},d=`/assets/banner-0DBFamUH.jpg`,f=`/assets/realtime_viewer_preview-DkWaAVLs.jpg`,p=`/assets/conjunction_search_preview-BBg69O_l.jpg`,m=`/assets/swarm_aurora_preview-CF4VlJSe.jpg`,h=`/assets/aurorax_documentation-BmAyPv5Y.jpg`,g=`/assets/github_screenshot-C_OwHSO3.jpg`,_=()=>(0,l.jsxs)(`div`,{className:`home-container`,children:[(0,l.jsx)(`div`,{className:`home-banner`,style:{backgroundImage:`url(${d})`},children:(0,l.jsx)(`div`,{className:`home-banner--container`,children:(0,l.jsx)(`div`,{className:`home-banner--content-container container`,children:(0,l.jsx)(`div`,{className:`home-banner--text row`,children:(0,l.jsxs)(`div`,{className:`col-12 col-lg-8`,children:[(0,l.jsx)(`h1`,{className:`home-banner--title display-2`,children:`AuroraX`}),(0,l.jsx)(`p`,{className:`d-inline-block d-table`,children:`Auroral data and tools for researchers and citizen scientists`}),(0,l.jsx)(n,{className:`btn btn-home`,to:`/conjunctionSearch`,children:`Conjunction Search`}),(0,l.jsx)(n,{className:`btn btn-home`,to:`/realtimeViewer`,children:`Real-Time Viewer`}),(0,l.jsx)(n,{className:`btn btn-home`,to:`/eventExplorer`,children:`Event Explorer`}),(0,l.jsx)(`div`,{className:`w-100`}),(0,l.jsx)(n,{className:`btn btn-home`,to:`/keogramist`,children:`Keogramist`}),(0,l.jsx)(n,{className:`btn btn-home`,to:`/auroradome`,children:`AuroraDome`})]})})})})}),(0,l.jsxs)(`div`,{className:`home-text`,children:[(0,l.jsx)(u,{}),(0,l.jsx)(`div`,{className:`home-counter`,children:(0,l.jsxs)(`div`,{className:`home-counter--row row`,children:[(0,l.jsxs)(`div`,{className:`counter-item col-12 col-lg-3`,children:[(0,l.jsx)(`p`,{className:`counter-item--title`,children:`IMAGES`}),(0,l.jsx)(`h1`,{className:`counter-item--value`,children:`1 billion+`})]}),(0,l.jsxs)(`div`,{className:`counter-item col-12 col-lg-3`,children:[(0,l.jsx)(`p`,{className:`counter-item--title`,children:`NEW IMAGES PER DAY`}),(0,l.jsx)(`h1`,{className:`counter-item--value`,children:`1 million+`})]}),(0,l.jsxs)(`div`,{className:`counter-item col-12 col-lg-3`,children:[(0,l.jsx)(`p`,{className:`counter-item--title`,children:`INSTRUMENT ARRAYS`}),(0,l.jsx)(`h1`,{className:`counter-item--value`,children:`10+`})]}),(0,l.jsxs)(`div`,{className:`counter-item col-12 col-lg-3`,children:[(0,l.jsx)(`p`,{className:`counter-item--title`,children:`ALL-SKY CAMERAS`}),(0,l.jsx)(`h1`,{className:`counter-item--value`,children:`100+`})]})]})}),(0,l.jsxs)(`div`,{className:`home-about`,children:[(0,l.jsx)(`p`,{children:`AuroraX is the world's first and foremost data platform for auroral science. The primary objective of AuroraX is to enable mining and exploration of existing and future auroral data, enabling key science and enhancing the benefits of the world's investment in auroral instrumentation. This will be accomplished with the development of 

1key systems/standards for uniform metadata generation and search, image content analysis, interfaces to leading international tools, and a community involvement that includes more than 80% of the world's data providers.`}),(0,l.jsxs)(`div`,{className:`row mb-3`,children:[(0,l.jsxs)(`div`,{className:`col-text-container col-md-6 col-lg-4`,children:[(0,l.jsxs)(`div`,{className:`col-header`,children:[(0,l.jsx)(`i`,{className:`fa-light fa-database fa-fw`}),(0,l.jsx)(`h6`,{className:`col-title-text`,children:`Data Repository`})]}),(0,l.jsx)(`div`,{className:`col-text d-inline-block`,children:`A uniform, open data repository that contains more than 80% of the world's geospace all sky auroral camera data and associated metadata, calibration information, etc.`})]}),(0,l.jsxs)(`div`,{className:`col-text-container col-md-6 col-lg-4`,children:[(0,l.jsxs)(`div`,{className:`col-header`,children:[(0,l.jsx)(`i`,{className:`fa-light fa-eye fa-fw`}),(0,l.jsx)(`h6`,{className:`col-title-text`,children:`Virtual Observatory`})]}),(0,l.jsx)(`div`,{className:`col-text d-inline-block`,children:`Virtual Observatory that visualizes and distributes auroral data to scientists, coupled to other leading international virtual observatory programs.`})]}),(0,l.jsxs)(`div`,{className:`col-text-container col-md-6 col-lg-4`,children:[(0,l.jsxs)(`div`,{className:`col-header`,children:[(0,l.jsx)(`i`,{className:`fa-light fa-microchip-ai fa-fw`}),(0,l.jsx)(`h6`,{className:`col-title-text`,children:`Machine Learning`})]}),(0,l.jsx)(`div`,{className:`col-text d-inline-block`,children:`Machine vision/learning tools and products that enable strategic mining and exploration of the world's auroral data based on image content.`})]}),(0,l.jsxs)(`div`,{className:`col-text-container col-md-6 col-lg-4`,children:[(0,l.jsxs)(`div`,{className:`col-header`,children:[(0,l.jsx)(`i`,{className:`fa-light fa-wrench fa-fw`}),(0,l.jsx)(`h6`,{className:`col-title-text`,children:`APIs and Libraries`})]}),(0,l.jsx)(`div`,{className:`col-text d-inline-block`,children:`APIs, libraries, and additional tools that facilitate programmatic access to AuroraX from key international virtual observatories and toolsets.`})]}),(0,l.jsxs)(`div`,{className:`col-text-container col-md-6 col-lg-4`,children:[(0,l.jsxs)(`div`,{className:`col-header`,children:[(0,l.jsx)(`i`,{className:`fa-light fa-earth-americas fa-fw`}),(0,l.jsx)(`h6`,{className:`col-title-text`,children:`Aggregation Tools`})]}),(0,l.jsx)(`div`,{className:`col-text d-inline-block`,children:`Software that will facilitate ease of adoption by existing optical observing programs around the world.`})]}),(0,l.jsxs)(`div`,{className:`col-text-container col-md-6 col-lg-4`,children:[(0,l.jsxs)(`div`,{className:`col-header`,children:[(0,l.jsx)(`i`,{className:`fa-light fa-camera fa-fw`}),(0,l.jsx)(`h6`,{className:`col-title-text`,children:`Tools for Citizen Scientists`})]}),(0,l.jsx)(`div`,{className:`col-text d-inline-block`,children:`Tools designed to assist citizen scientists with their aurora chasing endeavours.`})]})]}),(0,l.jsx)(`p`,{children:`AuroraX significantly lowers the barrier of entry to the global network of auroral data, and provides the foundation for efficiency and inter-operability of existing auroral instrument networks and data streams. Use of cutting-edge web frameworks, enhanced metadata, and discovery tools we allow for rapid access and utilization of auroral data by the space physics and citizen science communities. Enabled by key international partnerships and Canada's leading role in auroral instrumentation, AuroraX hopes to fundamentally change the data landscape for auroral science.`})]}),(0,l.jsxs)(`div`,{className:`home-feature row alt-bg`,children:[(0,l.jsx)(`div`,{className:`d-none d-lg-block col-lg-1`}),(0,l.jsxs)(`div`,{className:`home-feature--text col-lg-5 col-md-6 col-sm-12 col-xs-12`,children:[(0,l.jsx)(`h3`,{children:`Swarm-Aurora`}),(0,l.jsx)(`p`,{children:`The Swarm-Aurora project was designed to facilitate and drive the use of Swarm in auroral science and push Swarm beyond its primary mission objective to become a key instrument in auroral science research. The primary objective of Swarm-Aurora is to build a bridge between Swarm data, the Swarm science community, and optical images of the aurora collected primarily by ground-based All-Sky Imagers (ASIs).`}),(0,l.jsx)(`p`,{children:`We aim to achieve this by providing an easy-to-use and fast web interface to interact with a large array of summary data products from both ground-based and satellite instruments.`}),(0,l.jsx)(`p`,{children:(0,l.jsx)(`a`,{href:`https://swarm-aurora.com/`,target:`_blank`,rel:`noopener noreferrer`,children:`Go to Swarm-Aurora →`})})]}),(0,l.jsx)(`div`,{className:`col-lg-5 col-md-6 d-none d-md-block`,children:(0,l.jsx)(`a`,{href:`https://swarm-aurora.com/`,target:`_blank`,rel:`noopener noreferrer`,children:(0,l.jsx)(`img`,{alt:`Swarm-Aurora preview`,src:m,className:`img-thumbnail`})})})]}),(0,l.jsxs)(`div`,{className:`home-feature row`,children:[(0,l.jsx)(`div`,{className:`d-none d-lg-block col-lg-1`}),(0,l.jsx)(`div`,{className:`col-lg-5 col-md-6 d-none d-md-block`,children:(0,l.jsx)(n,{to:`/conjunctionSearch`,children:(0,l.jsx)(`img`,{alt:`conjunction searach preview`,src:p,className:`img-thumbnail`})})}),(0,l.jsxs)(`div`,{className:`home-feature--text col-lg-5 col-md-6 col-sm-12 col-xs-12`,children:[(0,l.jsx)(`h3`,{children:`Conjunction Search`}),(0,l.jsx)(`p`,{children:`AuroraX provides a way to search for in-situ and ground-based instrument conjunctions based on a set of user inputs. Searches can be specified in different ways such as a plain English sentence, an interactive map, or using a series of dropdowns/selectors.`}),(0,l.jsx)(`p`,{children:(0,l.jsx)(n,{to:`/conjunctionSearch`,children:`Search for Conjunctions →`})})]})]}),(0,l.jsxs)(`div`,{className:`home-feature row alt-bg`,children:[(0,l.jsx)(`div`,{className:`d-none d-lg-block col-lg-1`}),(0,l.jsxs)(`div`,{className:`home-feature--text col-lg-5 col-md-6 col-sm-12 col-xs-12`,children:[(0,l.jsx)(`h3`,{children:`Virtual Observatory`}),(0,l.jsx)(`p`,{children:`The AuroraX platform contains billions of auroral images, so browsing summary data and quickly finding the exact images that you're interested in is crucial. The AuroraX Virtual Observatory aims to 

1solve this problem by providing an interactive visualization of AuroraX data along with mechanisms for downloading and processing raw data.`}),(0,l.jsx)(`p`,{children:(0,l.jsx)(n,{to:`/vo`,children:`Go to the Virtual Observatory →`})})]}),(0,l.jsx)(`div`,{className:`col-lg-5 col-md-6 d-none d-md-block`,children:(0,l.jsx)(n,{to:`/vo`,children:(0,l.jsx)(`img`,{alt:`Real-Time Viewer showing spacecraft positions on the globe`,src:f,className:`img-thumbnail home-feature--img-small`})})})]}),(0,l.jsxs)(`div`,{className:`home-feature row`,children:[(0,l.jsx)(`div`,{className:`d-none d-lg-block col-lg-1`}),(0,l.jsx)(`div`,{className:`col-lg-5 col-md-6 d-none d-md-block`,children:(0,l.jsx)(n,{to:`/docs/developer/overview`,children:(0,l.jsx)(`img`,{alt:`virtual observatory preview`,src:g,className:`img-thumbnail`})})}),(0,l.jsxs)(`div`,{className:`home-feature--text col-lg-5 col-md-6 col-sm-12 col-xs-12`,children:[(0,l.jsx)(`h3`,{children:`API and Libraries`}),(0,l.jsx)(`p`,{children:`The AuroraX Platform is built on top of a powerful set of APIs which enables data mining and exploration through programmatic code. To leverage that API further, we provide client libraries for Python and IDL. The code for these libraries is open-source and available on Github.`}),(0,l.jsx)(`p`,{children:(0,l.jsx)(n,{to:`/docs/developer/overview`,children:`More information →`})}),(0,l.jsx)(`p`,{children:(0,l.jsx)(`a`,{href:`https://github.com/aurorax-space`,target:`_blank`,rel:`noreferrer`,children:`View open-source code on Github →`})})]})]}),(0,l.jsxs)(`div`,{className:`home-feature row alt-bg`,children:[(0,l.jsx)(`div`,{className:`d-none d-lg-block col-lg-1`}),(0,l.jsxs)(`div`,{className:`home-feature--text col-lg-5 col-md-6 col-sm-12 col-xs-12`,children:[(0,l.jsx)(`h3`,{children:`AuroraX Documentation`}),(0,l.jsx)(`p`,{children:`The documentation goes into more technical depth about every part of the platform: what is in the database and how it is organized, how to get the most out of the conjunction search, how we use machine learning, and how to drive all of it from your own code.`}),(0,l.jsxs)(`p`,{children:[`The documentation pages also include a complete API reference for both client libraries,`,` `,(0,l.jsx)(r,{to:`/docs/developer/pyaurorax`,children:`PyAuroraX`}),` and`,` `,(0,l.jsx)(r,{to:`/docs/developer/idl-aurorax`,children:`IDL-AuroraX`}),`, generated directly from their source.`]}),(0,l.jsx)(`p`,{children:(0,l.jsx)(r,{to:`/docs`,children:`Go to AuroraX documentation →`})})]}),(0,l.jsx)(`div`,{className:`col-lg-5 col-md-6 d-none d-md-block`,children:(0,l.jsx)(r,{to:`/docs`,children:(0,l.jsx)(`img`,{alt:`AuroraX documentation`,src:h,className:`img-thumbnail`})})})]})]})]});export{_ as default};