04/02/2025
We are presenting at NEIAC 2025- April 7-8th!
We are excited to announce that we will be presenting at Northeast Astro Imaging Conference- NEIAC 2025, where we will showcase how AI4Wave is advancing telescope collimation and sensor tilt adjustment with AI-driven precision.
Presentation Title:
"Beyond FWHM: Accurate Telescope Collimation & Sensor Tilt Adjustment."
Our session will explore how AI-powered wavefront analysis enhances precision in telescopes, aerospace, research, and manufacturing applications. We invite industry professionals to join us as we discuss the future of high-accuracy optical alignment.
To learn more about AI4Wave, visit 👉[https://lnkd.in/gXtEMvbS]
Abstract:
Assessing telescope collimation (optical alignment) and sensor tilt solely by measuring star sizes, such as FWHM is common ambiguous and insufficient. This approach lacks wavefront information and cannot distinguish between FWHM variations across the field caused by sensor tilt and one resulting from telescope mis-collimation. When a telescope optics is misaligned, its focal plane tilts, leading to FWHM variations that are similar to sensor tilt effects. Additionally, advanced optical systems, such as corrected telescopes and Ritchey-Chrétien designs, require field-dependent aberration analysis even for basic collimation, let alone sensor tilt correction. The challenge becomes even greater for fast telescopes with large sensors, where sensor tilt is highly critical. Proper alignment requires separating collimation errors from sensor tilt, which is only possible by analyzing aberrations rather than just star sizes. Key aberrations such as coma, astigmatism, and defocus can be extracted from the wavefront of incoming starlight. To achieve precise collimation and sensor tilt correction, one must retrieve wavefront data across the scope field of view. This lecture will cover the fundamental principles, correct procedures, and the use of SkyWave, an AI-powered wavefront sensing software, to achieve optimal telescope alignment with stars.