Record the conditions
Keep source, date, time, equipment, processing state and analysis settings with every result.
Education & Research
Turn astronomical images into structured learning.
Practical workflows for educators, astronomy clubs, student groups and small observatories that want to move beyond attractive images and begin inspecting, measuring, comparing and documenting real data.
Offline-first softwareFITS-aware workflowsExportable resultsClear methodological limits
From image to evidence
Observe. Measure. Compare. Explain.
Each activity connects an astronomical question with a repeatable workflow and a result that can be reviewed or shared.
Structured activities
Four practical starting points.
Choose a workflow based on the data available and the learning or operational objective.
Solar observation
Sunspot measurement for schools and observatories
Build a repeatable record of sunspot groups, visible evolution, measurements and annotated reports with AIT Solar Insight.
Data literacyFITS analysis in the classroom
Teach headers, metadata, frame quality, background, star shape and evidence-based comparison using valid FITS files.
Observatory workflowImage-quality control before stacking
Use consistent diagnostics to identify clouds, tracking changes, vibration, weak frames and session-level patterns.
Citizen scienceSeestar and Universal FITS projects
Organize repeat observations, preserve context and prepare comparable datasets for educational or community projects.
A responsible approach
Useful analysis starts with honest limits.
Metrics need context
A score or detection is evidence to inspect, not a substitute for visual review or a project-specific scientific protocol.
No unsupported claims
AIT tools support education, inspection and documentation. They do not replace calibrated professional instruments or formal validation.
For institutions
Planning a class, club project or observatory workflow?
Describe the available equipment, dataset, number of participants and desired output. We can discuss product fit, demonstrations and practical deployment without assuming that one workflow suits every institution.