MackSun is a solar data portal designed to provide access to high-resolution solar observations,
solar flare data, radio astronomy products, and astronomical time series generated by scientific
instruments, supporting research, education, and large-scale observational data analysis.
The platform enables access to real scientific datasets, allowing users to explore, download, validate, and analyze solar data through a structured and accessible environment.
The MackSun platform is developed and maintained by a multidisciplinary team combining solar physics, scientific validation, data engineering, platform architecture, user experience, and quality assurance.
This section presents the professionals responsible for building, validating, and evolving the platform, ensuring that solar data, solar flare observations, radio astronomy products, and astronomical time series are reliable, accessible, and usable in real-world research, engineering, and educational contexts.
Below, the team is organized by area of expertise, covering scientific leadership, data engineering, front-end development, and quality assurance.
MackSun was co-conceived through close collaboration between scientific direction and platform architecture, combining expertise in solar physics with large-scale data engineering to define both the research goals and the system design.
Scientific leadership defined the objectives, context, and research requirements, while platform architecture transformed these requirements into a scalable data infrastructure, enabling reliable ingestion, processing, validation, and access to high-volume astronomical time series.
Scientific Direction and Project Initiation
Conceived and initiated the MackSun project, defining its scientific direction, objectives, and research scope. Provides domain expertise in solar physics and acts as a scientific reference for the interpretation and contextualization of observational data.
Platform and Data Architecture Leadership
Led the architectural design and implementation of the MackSun platform, working in close collaboration with scientific leadership to transform research requirements into a scalable data infrastructure. Responsible for system design, data pipelines, distributed processing strategies, time series modeling, and large-scale scientific data engineering, ensuring reliable ingestion, partitioning, validation, and access to billions of astronomical records.
Scientific support ensures that data interpretation, validation processes, and observational context remain aligned with radio astronomy practices and solar physics research.
Scientific Support
Provides scientific support related to solar radio astronomy, contributing to data interpretation, validation, and alignment with observational research practices.
The MackSun platform is supported by front-end development, user experience design, and quality assurance practices that ensure usability, reliability, and consistency across data access, filtering, and export workflows.
UX UI, Front End and Integration
Contributes to user experience design, front-end development, and integration with platform services, enabling accessible interfaces, responsive design, and reliable interaction with APIs and data workflows.
Core Skills
HTML, CSS, JavaScript, React, React Router, Tailwind CSS, TypeScript, REST APIs, Git, GitHub, SQL, Figma, UI Design and Responsive Design.
UX UI, Front End and Integration
Contributes to front-end development and integration, supporting consistent user experience, responsive behavior, and reliable interaction with platform features and data access workflows.
Core Skills
HTML, CSS, JavaScript, React, React Router, Tailwind CSS, TypeScript, REST APIs, Git, GitHub, SQL, Figma, UI Design and Responsive Design.
UX UI, Front End and Integration
Supports front-end development and integration efforts, contributing to usability, interface consistency, and interaction with platform APIs and data services.
Core Skills
HTML, CSS, JavaScript, React, React Router, Tailwind CSS, TypeScript, REST APIs, Git, GitHub, SQL, Figma, UI Design and Responsive Design.
Quality Assurance and Validation
Responsible for quality assurance, automated validation, and verification of critical user flows, ensuring reliability, regression control, and consistency across platform behavior and data export processes.
Core Skills
Cypress, test automation, end-to-end testing, functional validation, regression testing, exploratory testing, scenario validation, bug analysis, workflow verification and quality assurance.
This section will include future contributors responsible for instrument-specific integrations, data ingestion modules, and scientific plugins related to solar observation systems such as HATS, H-Alpha and other astronomy instruments.
The goal is to expand MackSun to support multiple instruments, enabling standardized access, processing, and distribution of solar data across different observational systems.
MackSun is a platform created to make solar data collected by telescopes available in an accessible, structured, and reusable format. Its goal is to facilitate the use of this data by researchers, students, professors, and people interested in space weather and solar activity.
The portal expands the practical use of solar data, solar flare observations, radio astronomy products, and astronomical time series by making scientific datasets easier to discover, access, interpret, reuse, and export.
By connecting scientific data, observational infrastructure, and user access in a single environment, MackSun transforms raw observational records into a usable resource for research, education, and scientific dissemination.
Modern solar instruments generate large-scale observational datasets, often reaching millions or billions of records over time. These datasets are essential for studying solar activity, solar flares, radio astronomy, and long-duration astronomical time series.
MackSun addresses the challenge of accessibility and usability by organizing solar observations in a way that supports both scientific research and educational use.
These datasets enable space weather analysis, solar activity monitoring, and large-scale scientific studies based on real observational data.
Featured page: high-resolution POEMAS solar data.
MackSun is developed in collaboration with the Mackenzie Center for Radio Astronomy and Astrophysics (CRAAM) , part of Mackenzie Presbyterian University , combining scientific research, observational infrastructure, and large-scale data engineering.
The project is supported by CAPES, the Brazilian federal agency responsible for funding graduate education and academic research.
Computational infrastructure is supported by LINEA, enabling large-scale scientific data processing and storage.
The CRAAM team provides continuous support for instrument operation, data acquisition, scientific validation, and long-term reliability of the solar data available in MackSun.
CRAAM is a research center focused on solar astronomy, astrophysics, and space weather. It operates instruments such as the POEMAS and SST telescopes, used in the MackSun ecosystem. It also develops technologies for the acquisition, validation, processing, and distribution of scientific data.
Its role is central to the scientific quality of MackSun, especially in relation to observational infrastructure, scientific validation, solar data continuity, and long-term access to astronomical time series.
MackSun is connected to peer-reviewed scientific work involving large-scale astronomical time series, including datasets such as POEMAS and their associated data processing infrastructure.
This positions MackSun as part of a broader scientific effort combining data engineering, observational systems, reproducible access to solar data, and scientific dissemination.
Related publication: POEMAS Solar Data: High-Resolution Astronomical Time Series and Data Processing Infrastructure
MackSun helps make solar data more visible, more accessible, and more reusable for astronomy, astrophysics, radio astronomy, solar physics, and scientific data analysis.
By combining scientific context, institutional support, observational infrastructure, and practical access tools, the portal strengthens the ecosystem for solar data exploration and scientific collaboration.
MackSun supports research, education, and scientific dissemination by connecting observational infrastructure, validated datasets, institutional support, and accessible tools for solar data exploration.