Download Seestar Photometry v5.18

CURRENT RELEASE

Seestar Photometry v5.18-beta

This page provides the downloadable packages for the Seestar Photometry pipeline. The software is distributed for practical differential photometry on linear Seestar S50 FITS data, with Gaia DR3-based calibration and batch processing tools.

New in v5.18-beta:
- robust masking of invalid pixels caused by black borders in derotated or mosaicked images
- improved sky background estimation and SNR stability
- improved reference-star consistency across frames
- more stable light curves on real-world stacked datasets

Important note for Windows users:
The executable is not digitally signed. Windows SmartScreen may display a warning such as “Windows protected your PC”. This is expected for independently distributed scientific software. If you downloaded the file from this official page, you can proceed by clicking:

More info → Run anyway

Windows package

Recommended for Windows users who do not want to install Python. The package contains the standalone executable and documentation files.

Seestar_Photometry_5_18_beta.exe
readme_en.txt
license.txt

Format: ZIP package

Download Windows ZIP

Python source package

For Mac, Linux, or advanced Windows users who prefer to run the Python script directly. Install the dependencies using pip install -r requirements.txt.

Seestar_Photometry_5_18_beta.py
requirements.txt
readme_en.txt
license.txt

Format: ZIP package

Download Source ZIP

Sample FITS data

Example FITS files used to test the workflow and reproduce a basic reduction session. These files are useful for verifying installation and understanding the expected input format.

Linear Seestar FITS files
Suitable for testing batch loading
Useful for checking Gaia matching and CSV export

Format: ZIP package

Download FITS Data

CHANGELOG

Release Notes

v5.18-beta

Added robust masking of invalid pixels and black borders from derotated / mosaicked frames.
Improved background estimation by excluding invalid footprint regions from statistics.
Improved source detection stability near frame edges.
Improved SNR calculation on Siril-processed or derotated datasets.
Improved reference-star consistency across accepted frames.
Maintained Gaia DR3-based differential aperture photometry workflow.

v5.16-beta

Introduced handling improvements for derotated / mosaicked datasets.
Improved statistical robustness of photometric measurements.
Added traceability fields in CSV export.
Improved Blink Viewer and GIF export workflow.

INSTALLATION NOTES

Before You Start

Windows executable

Extract the ZIP package and run the executable. No Python installation is required. If SmartScreen appears, click More info and then Run anyway, only if you downloaded the file from this official page.

Python source version

Extract the source package, open a terminal in the extracted folder, and run:

pip install -r requirements.txt

Then launch the program with:

python Seestar_Photometry_5_18_beta.py

Linux note

The graphical interface uses tkinter. It is usually included with Python, but on some Linux systems it must be installed separately, for example with sudo apt-get install python3-tk.

FEEDBACK

Testing and Feedback

This is an empirical photometry workflow under active validation. Feedback is welcome, especially if you compare the output against independent datasets or identify reproducible problems with specific FITS files.

Please send comments, bug reports, or validation results to:
silvio.barbero@gmail.com