Bibliographic record
Abstract
Experienced optical designers and engineers often develop personal ‘bags of tricks’ in the course of their careers. These tricks may, for example, involve special techniques to design lens systems, or perhaps they may be simple methods to align components. A designer's bag of tricks saves time in typical modern fast-paced product development commercial projects. If you are an early-career designer, perhaps the hardest part about product development is knowing how to get started on applying the fundamentals to a real-world design within a tight schedule. Modern Classical Optical System Design (MCOSD) is a book that, hopefully, can save you some needed time. MCOSD shares this author's bag of tricks to help get you started in optical system design in a modern, fast-paced product development context. Design techniques, tips, and tricks for general optical systems are written with simple explanations and illustrations, but in-depth discussions (with mathematical rigor) are also provided for further study (you can procrastinate, but you ought to eventually know this material well because deep knowledge is the ultimate power of a designer). The term ‘modern classical’ in the title of the book is meant to convey the message that well-established principles are applied to the design of optical systems by way of using specific tools and features of a modern optical design program (in this book, I have used the Ansys Zemax OpticStudio® program). Also, some well-known concepts and formulas are re-interpreted (i.e., proven and derived differently, or expressed in a different form) and specific examples are provided to show how they can be applied to the design of optical systems. Part of IOP Series in Emerging Technologies in Optics and Photonics. Key features • Shares of special techniques, tips, and tricks in industrial practice not found in many textbooks. • Helps early-career optical designers and engineers get started with easy-to-understand and illustrative examples. • Quick reference for design methods using Zemax OpticStudio. • Relatable to modern optical product development.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.050 | 0.024 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".