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wangdongwind金蟲 (正式寫手)
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[求助]
幫我看看我文章的狀態(tài) 咋回事?
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我投稿Optical engineering一文章 現(xiàn)在是大修稿件頭上去的狀態(tài) 疑惑為啥有兩次Contacting Potential Reviewers!不是我的文章要悲劇了嗎??? Under Review 2012-05-29 11:04:50 Contacting Potential Reviewers 2012-05-29 11:04:31 Under Review 2012-05-23 21:55:16 Contacting Potential Reviewers 2012-05-23 12:55:02 Potential Reviewers Assigned 2012-05-23 12:54:18 Under Consideration - Associate Editor 2012-05-23 12:53:42 Under Consideration - Editor 2012-05-23 01:31:55 Author-Approved Files Submitted 2012-05-23 01:31:54 Awaiting Author Approval of Converted Files 2012-05-23 01:18:54 Revision Received 2012-05-23 01:18:24 Waiting for Revision 2012-05-07 12:28:34 Decision Sent 2012-05-07 12:28:34 Decision Letter Being Prepared 2012-05-07 06:03:56 Under Review 2012-04-16 23:34:02 Contacting Potential Reviewers 2012-04-16 17:27:34 Potential Reviewers Assigned 2012-04-14 01:01:30 Under Consideration - Associate Editor 2012-04-10 16:57:49 Under Consideration - Editor 2012-04-08 04:59:48 Author-Approved Files Submitted 2012-04-08 04:59:48 Manuscript Files Uploaded |
至尊木蟲 (職業(yè)作家)

至尊木蟲 (文壇精英)

榮譽(yù)版主 (知名作家)
斷翼天使
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專家經(jīng)驗(yàn): +1 |

榮譽(yù)版主 (知名作家)
Peter

金蟲 (正式寫手)
金蟲 (正式寫手)
金蟲 (正式寫手)
金蟲 (正式寫手)
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疑惑的是我的大修稿子 編輯是返回給 原來的來的兩個(gè)reviewer了,啊嗎 這里附上一審結(jié)果 Reviewer Comments: Reviewer #1 Evaluations: Appropriateness for OE: Satisfactory Quality of writing: Satisfactory Clarity: Satisfactory Conciseness: Marginal References to literature: Good Relevance of figures: Good Originality: Marginal Significance of results: Marginal Technical accuracy of results: Satisfactory Rigor: Satisfactory Detail level of procedures: Good Substantiation of conclusions: Poor Reviewer #1 (Reviewer Comments Required): The authors propose an iterative algorithm for designing a phase element which will be applied to beam shape the TEM00 mode laser beam into the expected diameter or shape flat-top intensity profile laser beam in the far-field, with a low mean square error and a high diffraction efficiency. The authors coin their algorithm as adaptive weight FFT-based iterative algorithm (AWFFT-IA). In this algorithm, the initial phase distribution for the first time iteration is coded by pseudo-random coding technique (to avoid falling into local minima which leads to a local stagnation) while the far-field amplitude for the IFFT is adaptively modified during each iteration by using an optimized weight strategy. Some of this is not new by the way as the authors themselves indicate in the introduction. Although the paper contains some novelty, the authors failed in convincing the general reader in the added value that their technique has to offer. The paper might be suitable for publication however a major revision and a re-review are needed in order to better convince the reader in the added value existing in the proposed concept. Although their approach may avoid the iterations from being stuck in local stagnations, nevertheless, the computation of the c coefficient for the AWFFT-IA significantly increases the computational load and complexity and thus it is not clear if this additional computational load cannot be used in a more straight forward manner of examining all possible options for the optimization process. In general, I think the authors did not properly compare the gain in the final performance of their approach in comparison to other available techniques. They should repeat their simulations in identical conditions for all the other competing approaches that t hey have mentioned in their introduction in order to better validate and demonstrate the gain they have to offer. Reviewer #2 Evaluations: Appropriateness for OE: Good Quality of writing: Good Clarity: No Comment Conciseness: Good References to literature: Good Relevance of figures: Good Originality: Satisfactory Significance of results: Satisfactory Technical accuracy of results: Good Rigor: Satisfactory Detail level of procedures: Good Substantiation of conclusions: Good Reviewer #2 (Reviewer Comments Required): The paper is well written and the authors present an interesting new approach, an adaptive weight FFT-based iterative algorithm (AWFFT-IA) for flat-top laser beam shaping. The paper is of interest for the readers of OE and will certainly inspire other researchers to follow this approach. Comments: 1) If you introduce a "AWFFT-IA" algorithm it makes sense to mention and explain the name also in the abstract and conclusion. 2) Saving computer time for calculation is not really the figure of merit in 2012 and typically everybody wants to have a flat-top with 98% efficiency, no 0th order problem and no straylight outside the flat-top. This should be considered - at least if you intend to continue to further improve AWFFT-IA and test it in experiment. |
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