Figures & Tables
Adapted from Kalée Tock and Ryan Caputo
Effective visual elements are the cornerstone of scientific communication. In double star research, your figures and tables must clearly convey your measurements, analyses, and conclusions to your audience. This page covers best practices for creating compelling visual content for your presentations and papers.
The Power of Visual Communication
Figures and tables serve distinct purposes in scientific communication:
- Figures (images, plots, diagrams) show patterns, relationships, and visual data
- Tables organize precise numerical values and categorical information
Together, they transform abstract numbers into meaningful insights that your audience can grasp quickly and intuitively.
Essential Figures for Double Star Research
Star System Images
Your audience needs to see the stars you're studying:
- Measurement Screenshots: Include clear images showing your measurement process
- Raw vs. Processed: Consider showing before/after images if processing significantly improves clarity
- Field of View: Include both wide-field context and zoomed-in detail when appropriate
- Identification: Clearly mark primary and secondary stars
- Scale Bar: Include angular scale (arcseconds) for reference
Capture Quality
When including measurement software screenshots, ensure all text is legible and the measurement compass rose is clearly visible. Resize your application window so stars take up most of the frame while keeping interface elements readable.
Historical Data Plots
These plots show how your measurements fit into historical context:
- Coordinate System: Plot position angle and separation in Cartesian coordinates
- Time Element: Use color, size, or labeling to indicate measurement dates
- Distinctive Marking: Highlight your own measurements with distinctive symbols
- Equal Scaling: Ensure x and y axes have the same scale
- Primary at Origin: Remember the primary star should be at position (0,0)
- Comparison: Include any existing orbital or linear solutions alongside your plot
Plot Orientation
Your plot may need to be rotated or flipped to match WDS convention (Celestial North facing down). Consider this adjustment to facilitate comparison with published solutions.
Additional Visualization Types
Depending on your analysis, consider including:
- HR Diagrams: To show stellar classification
- Proper Motion Vectors: To visualize relative motion
- Parallax Comparisons: To demonstrate physical relationship
- Orbital Solutions: If proposing or refining an orbit
Creating Effective Tables
Essential Tables for Double Star Research
Your presentation should include these key tables:
- Measurement Table: Individual measurements from each image
- Include filename, position angle, separation, and notes about image quality
-
Specify aperture size used
-
Summary Table: Averaged measurements with error analysis
- System identification
- Observation date (decimal format)
- Number of images analyzed
- Position angle with standard error
-
Separation with standard error
-
Gaia Data Table: Stellar parameters from Gaia database
- Parallax values for both stars
- Proper motion components (RA and Dec separately)
- rPM values
- Color indices
Table Design Principles
Make your tables clear and accessible:
- Minimalist Design: Use minimal gridlines and no background colors
- Consistent Units: Include units in column headers, not in individual cells
- Precision Control: Show appropriate decimal places for each measurement type
- Alignment: Right-align numerical data, left-align text
- Clarity: Use clear, descriptive column headers
Design Principles for Maximum Impact
Color Usage
Color can enhance understanding when used purposefully:
- Purposeful Color: Use color to convey meaning, not just for decoration
- Colorblind-Friendly: Choose palettes accessible to those with color vision deficiencies
- Consistency: Use the same colors to represent the same concepts across all figures
- Contrast: Ensure sufficient contrast between data elements and background
- Print Consideration: Verify figures remain clear when printed in grayscale
Typography in Figures
Text elements in figures require special attention:
- Readability: All labels must be legible at the size they'll be displayed
- Font Consistency: Use the same font family throughout all figures
- Axis Labels: Include clear labels with units
- Legend Clarity: Ensure legends clearly explain all symbols and colors
- Caption Integration: Make sure figure captions complement rather than repeat axis labels
Technical Implementation
Software Tools
Several tools are available for creating scientific figures:
- Python with Matplotlib/Seaborn: Powerful for custom scientific plots
- R with ggplot2: Excellent for statistical visualizations
- AstroImageJ: For measurement screenshots and image processing
- Excel/Google Sheets: For simpler plots and tables
- Adobe Illustrator/Inkscape: For final touch-ups and annotations
File Formats and Resolution
Prepare figures properly for different presentation contexts:
- Vector Formats (SVG, PDF, EPS): Best for posters and publications
- Raster Formats (PNG, TIFF): Use high resolution (300+ dpi) for images
- Dimensions: Create figures at their final intended size
- Compression: Avoid JPG format for astronomy images and plots due to compression artifacts
Integration with Text
Your figures and tables must work hand-in-hand with your written content:
- Text References: Every figure and table must be referenced in your text
- Placement: Position figures near their text references
- Stand-Alone Quality: Figures should be comprehensible without reading the main text
- Captions: Include informative captions that explain significance, not just description
Caption Writing
For figures, captions should: - Be placed below the figure - Use italicized, centered text - Explain what the figure shows and its significance - Not end with a period
For tables, captions should: - Be placed above the table - Use non-italicized, centered text - Include a descriptive title - End with a period
Common Pitfalls to Avoid
- Obscuring Data: Avoid hiding important patterns with poor design choices
- Chart Junk: Remove unnecessary decorative elements
- Misleading Scales: Don't manipulate axes to exaggerate or minimize effects
- Information Overload: Limit each figure to one main message
- Missing Context: Always include necessary reference information
Checklist for Publication-Quality Figures
Before finalizing your figures for presentation:
- [ ] All text is legible at final viewing size
- [ ] Axes are properly labeled with units
- [ ] Color choices are purposeful and accessible
- [ ] Data points are distinguishable
- [ ] Error bars are included where appropriate
- [ ] Primary finding is visually apparent
- [ ] Image credits are included for any externally sourced images
- [ ] Captions are informative and properly formatted
Next Steps
With effective figures and tables prepared, you're ready to incorporate them into presentations that will engage and inform your audience about your double star research.