Adriana Valio
Scientific Leadership
Idealization and scientific leadership of the MackSun initiative, contributing to the definition of platform objectives, scientific direction, and integration with solar physics and space weather research.
About The MackSun Portal
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.
Portal Mission
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.
Our Team
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.
Scientific Leadership
MackSun combines solar physics expertise, scientific validation, data engineering, interface design, and quality assurance to support reliable access to solar data, solar flare observations, radio astronomy products, and astronomical time series.
Carlos Giménez de Castro
Scientific Research and Data Validation
Scientific support, data validation, and contribution to solar radio astronomy research, including observational analysis and interpretation of solar flare events and astronomical time series.
Data Engineering and Platform Architecture
Wilians Conde
Software Architecture and Data Engineering
Solution architecture, data engineering, automation, scientific processing pipelines, and large-scale data infrastructure, enabling ingestion, processing, organization, and availability of high-volume astronomical datasets.
UX UI, Front End and Integration
This team contributed to user experience design, interface development, and front-end integration, helping transform MackSun into a more accessible, responsive, and usable platform for scientific data exploration, filtering, export workflows, and interaction with APIs and back-end services.
Camila Ranieri
UX UI, Front End and Integration
UX UI, front-end development, and integration with back-end services, contributing to accessible interfaces, responsive design, consistent user experience, and reliable interaction with platform workflows, APIs, filters, and export resources.
Core Skills
HTML, CSS, JavaScript, React, React Router, Tailwind CSS, TypeScript, REST APIs, Git, GitHub, SQL, Figma, UI Design and Responsive Design.
Eduardo Dias Lima
UX UI, Front End and Integration
UX UI, front-end development, and integration with back-end services, contributing to accessible interfaces, responsive design, consistent user experience, and reliable interaction with platform workflows, APIs, filters, and export resources.
Core Skills
HTML, CSS, JavaScript, React, React Router, Tailwind CSS, TypeScript, REST APIs, Git, GitHub, SQL, Figma, UI Design and Responsive Design.
Felipe Gonzalez
UX UI, Front End and Integration
UX UI, front-end development, and integration with back-end services, contributing to accessible interfaces, responsive design, consistent user experience, and reliable interaction with platform workflows, APIs, filters, and export resources.
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
Quality assurance in MackSun supports platform reliability, validation of user flows, front-end and back-end behavior, export consistency, automated checks, and confidence in critical interactions across the portal.
Monica Campos
Quality Assurance and Validation
Responsible for quality assurance, automated validation, and verification of critical user flows, contributing to platform reliability, regression control, functional consistency, workflow validation, and confidence in front-end and back-end behavior.
Core Skills
Cypress, test automation, end-to-end testing, functional validation, regression testing, exploratory testing, scenario validation, bug analysis, workflow verification and quality assurance.
Instrument Integration and Scientific Plugins
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.
Scientific And Educational Objectives
- Collect and standardize observational solar data in a single environment.
- Allow queries, views, and exports even by users without technical training.
- Support research in solar physics, solar activity, radio astronomy, and related fields.
- Serve as an educational resource with real data and supporting materials.
- Improve access to solar time series data for research, education, and scientific dissemination.
- Promote reuse, reproducibility, and visibility of astronomical datasets.
Target Audiences
- Researchers working with astronomical data and solar observations.
- Undergraduate and graduate students.
- Professors and educational institutions.
- Visitors who want to explore solar data in a simple way.
- Technical teams working with scientific data systems, pipelines, exports, and APIs.
Main Features
- Query by instrument, period, and time resolution.
- Data export in FITS, and CSV formats.
- Wiki with Python examples and technical explanations.
- Access to solar time series data and related observational products.
- Support for users interested in solar flare observations and scientific data exploration.
Scientific Relevance
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.
Explore The Platform
Institutions and Team Involved
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.
About CRAAM
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.
Scientific Publication and Data Infrastructure
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
Why MackSun Matters
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.