切换到宽版
  • 广告投放
  • 稿件投递
  • 繁體中文
    • 7030阅读
    • 10回复

    [原创]展示最近的一个重量级CCL:各种算法套样板 [复制链接]

    上一主题 下一主题
    离线strategy
     
    发帖
    293
    光币
    6
    光券
    0
    只看楼主 倒序阅读 楼主  发表于: 2013-08-26
    OSLO中的样板数据分析是个鸡肋,功能简单不实用,OSLO的最大缺点是为用户考虑的太少,尽管它的灵活性可以让我为所欲为。当镜头面数很多时,套样板的方法显得至关重要,程序提供自动套样板功能,其结果也许并非最佳结果,但也能相当程度地反应样板套取方法的优劣趋势,设计人员可以在此基础上根据自己的理论知识和经验作进一步的改善优化,鉴于此,用CCL将Zemax的样板套取功能完全复现,除实现了Zemax中的4种算法,还添加了额外3种算法。 { .*y  
        程序的难点有:1、对样板文件的处理,难处是用CCL提供的有限的文件处理命令和就那么几个文本操作函数实现起来,有很多东西要自己代码实现,这里的样板文件格式与Zemax的全同,Zemax的现成样板文件必须拿过来就能用;2、对OSLO中的系统数据的操作,诸如变量的保存、中间优化结果的存储、套样板后数据如何恢复等等,这里涉及的问题,OSLO提供的内部命令及变量都能解决;3、算法问题,也就是该如何套,可以参考Zemax现成的几种算法,<<Modern lens desgin>>一书中提到的算法也尽量实现;4、其他细节问题,如样板半径如何算是符合套样标准(可以参考Zemax的),对文本行的解析得到样板数据等等 DhX#E&  
    程序框架如下: % , N<  
    FitGlass(...)  f>s?4  
    { 6<'rG''  
          while(1) e#,~,W.H  
          { #U*_1P0h  
             read_plate_file(...); Wm H~m k"  
             GetOneLine(...); _{Sm k [  
             parse_string_line(...) / }Rz=&  
            //将数据存入样板数组 >7roe []-|  
             .... Ja SI^go  
           } Yp0/Ab(v  
          Fit_ShortToLong(...); d/}SAvtt  
          Fit_LongToShort(...); u7xDau(c  
          Fit_BestToWorst(...); <BSc* 9Q  
          Fit_WorstToBest(...); ]uspx [UIc  
          Fit_Power_BigToSmall(...); gtYAHi  
          Fit_Abr_BigToSmall(...); n39t}`WIl  
          Fit_MF_BigToSmall(...); ltkI}h,e  
          //下面开始选择处理结果 ;SwMu@tg  
          ... X*Z8CM_  
    } 4O:W#bx  
    程序代码量还是很多的,取个中等复杂镜头样板的套取结果例子如下 ~V/?H!r'{}  
    GZ{]0$9I'  
    TestPlate File's name:yangzhou.tpd oQv3GpO  
    Init MF Value:0.00062 oG7q_4+&  
    Method: Short to Long(1) yQ3OL#  
    Srf     Old Radius     New Radius     MF Value     MF Change +kq'+Y7  
      6        5.57706        5.57000      0.00101      62.51945% .))v0   
      8      -12.55338      -12.57300      0.00542     771.03542% 6YuY|JD  
      9       18.37981       18.36500      0.00202     221.96974% '|7Woxl9  
      3       18.58131       18.53500      0.00915    1359.96125% /T,Z>R  
      7      -24.70139      -24.66000      0.00178     184.01078% ^m/14MN|  
      5      -28.55608      -28.58000      0.00068       8.79409% =?h~.lo  
      2      -53.96599      -53.94000      0.00100      59.93393% RNPbH.  
    10       57.91138       57.93000      0.00064       2.94712% tTN?r 8  
      1      121.60450      121.89600      0.00175     180.28879% GabYfUkO  
      4      125.85170      122.46000      0.00940    1400.41107% }Z TGi,P c  
    Final MF Value:0.00064    Relative change:3.07884% (~$/$%b  
    Method: Long to Short(2) q~L^au8  
    Srf     Old Radius     New Radius     MF Value     MF Change U!XS;a)  
      4      125.20984      122.46000      0.00768    1133.54154% 0wFH!s/B  
      1      121.51149      121.89600      0.00225     260.91411% 3+J0!FVla  
    10       58.31318       57.93000      0.00320     412.26872% M7>(hVEAW'  
      2      -54.00322      -53.94000      0.00200     221.25579% -`f04_@>d  
      5      -28.87047      -28.76000      0.00137     119.38819% *_ +7ni  
      7      -24.41613      -24.49000      0.00308     393.92127% )RYG%  
      3       18.54773       18.53500      0.00258     313.92207% =pA IvU  
      9       18.36134       18.36500      0.00078      25.56252% ~^ ^ NHq  
      8      -12.55473      -12.57300      0.00506     710.82362% c9j*n;Q  
      6        5.56698        5.57000      0.00211      -4.68411% uY< H#k  
    Final MF Value:0.00065    Relative change:3.58804% 83cW=?UgA  
    Method: Best to Worst(3) h;V,n  
    Srf     Old Radius     New Radius     MF Value     MF Change r-kMLw/)  
      1      121.74488      121.89600      0.00105      69.09700% DFO7uw1  
      9       18.36994       18.36500      0.00089      41.17665% WZ!WxX>zO  
      2      -54.11743      -53.94000      0.00537     761.51122% 4f~["[*ea  
      3       18.56222       18.53500      0.00540     764.71352% "4H8A =  
    10       58.36529       57.93000      0.00361     479.27779% fWF |,A>>b  
      6        5.56872        5.57000      0.00064       2.65958% FuX 8v  
      4      124.36063      122.46000      0.00536     757.60693% -Q;#sJ?  
      5      -28.80466      -28.76000      0.00080      27.59264% {F N;'Uc  
      7      -24.45357      -24.49000      0.00161     158.36958% (-NHx o  
      8      -12.55595      -12.57300      0.00473     656.84819% 0)Rw|(Fpo]  
    Final MF Value:0.00413    Relative change:562.97392% l7JY]?p  
    Method: Worst to Best(4) s7r9,8$  
    Srf     Old Radius     New Radius     MF Value     MF Change xt4)Ya  
      8      -12.55755      -12.57300      0.00429     588.97585% \Hqc 9&0  
      7      -24.41497      -24.49000      0.00313     395.98642% 3`HnLD/  
      5      -28.74963      -28.76000      0.00064       1.64985% `(0LK%w  
      2      -54.11607      -53.94000      0.00534     748.41314% kl1Y] ?z}  
      6        5.58904        5.60000      0.00138     121.28941% ;Qi }{;+  
      4      125.16569      122.46000      0.00755    1106.10971% TP1S[`nR  
    10       58.29969       57.93000      0.00309     384.03213% 7GZgu$'  
      3       18.56110       18.53500      0.00520     589.38016% 5FC4@Ms`  
      9       18.34017       18.36500      0.00328     419.68931% cgC\mM4Nla  
      1      118.01930      117.83000      0.00130     106.87009% U-0#0}_  
    Final MF Value:0.00063    Relative change:0.71571% /w]&t\]*  
    Method: Power_BigToSmall(5) }<MR`h1  
    Srf     Old Radius     New Radius     MF Value     MF Change Q36)7=at  
      6        5.57706        5.57000      0.00101      62.51945% 8*g ^o\M  
      8      -12.55338      -12.57300      0.00542     771.03542% S bsouGD,{  
      9       18.37981       18.36500      0.00202     221.96974% %lr|xX  
      3       18.58131       18.53500      0.00915    1359.96125% L;W.pe0  
      7      -24.70139      -24.66000      0.00178     184.01078% kqvow3u  
      2      -53.96973      -53.94000      0.00109      74.29882% IGFGa@C  
    10       57.90009       57.93000      0.00067       7.45080% I~'*$l  
      5      -28.54594      -28.58000      0.00073      17.14607% '?o9VrO  
      1      121.61780      121.89600      0.00169     169.13653% 92dF`sv  
      4      125.83316      122.46000      0.00935    1392.62223% SW(q$i  
    Final MF Value:0.00066    Relative change:5.41330% nY `2uN~9  
    Method: Abr_BigToSmall(6) K:yr-#(P/  
    Srf     Old Radius     New Radius     MF Value     MF Change ~9D~7UR  
      1      121.74488      121.89600      0.00105      69.09700% AF4?IH  
      2      -54.12133      -53.94000      0.00546     763.02456% K8^kJSF\  
      3       18.56394       18.53500      0.00574     820.72132% __p_8P  
      4      124.51666      122.46000      0.00579     828.65062% +c206.  
      5      -28.81629      -28.76000      0.00088      41.21174% Snf"z8sw  
      6        5.58064        5.57000      0.00136     115.96495% i(2y:U3[@  
      9       18.36617       18.36500      0.00064       2.94035% >s*DrfX6  
    10       58.33624       57.93000      0.00338     440.27551% =OTm2:j#yQ  
      7      -24.39810      -24.32000      0.00637      98.68410% }xn_6  
      8      -12.54258      -12.57300      0.00842    1236.91311% y[0`hSQ)~  
    Final MF Value:0.00069    Relative change:11.14449% F.q|x|9j  
    Method: MF_BigToSmall(7) =lr)gj  
    Srf     Old Radius     New Radius     MF Value     MF Change \tJFAc  
      4      125.20984      122.46000      0.00768    1133.54154% 6R}j-1 <n  
      8      -12.55752      -12.57300      0.00430     589.34823% Q^eJ4{Ya:  
      3       18.55995       18.53500      0.00495     689.30381% 3$M3Q]z  
    10       58.46434       58.88000      0.00339     438.53372% 9w;?-  
      7      -24.41102      -24.49000      0.00329     422.92209% Aq#/2t  
      1      121.30507      120.78000      0.00305     385.48025% dc0@Y  
      2      -54.01247      -53.94000      0.00226     260.45623% H!IDV }dn  
      5      -28.95689      -29.11000      0.00178     184.06356% }GHxG9!z  
      6        5.59661        5.60000      0.00073      16.98172% f1{z~i9@$  
      9       18.36951       18.36500      0.00086      36.64230% n l/UdgI  
    Final MF Value:0.00063    Relative change:0.47395% Y'"N"$n'_  
    Best Method:Fit_MF_BigToSmall s<T?pH  
    h.tY 'F  
    结果一般是Fit_MF_BigToSmall和Fit_WorstToBest方法较好,Fit_MF_BigToSmall算是很BT的方法,其次是ShortToLong和Power_BitToSmall,我比较看重看依据像差来套的方法,但其结果最好时的情况不多,因为这个方法主观因素比较严重,很难用程序去精确实现,这是手动套样板的方法首选。
    1条评分光币+20
    cyqdesign 光币 +20 原创内容,奖励! 2013-08-26
     
    分享到
    离线hzdp
    发帖
    1004
    光币
    7897
    光券
    0
    只看该作者 1楼 发表于: 2013-10-08
    版主威武
    离线guapiqlh
    发帖
    858
    光币
    848
    光券
    0
    只看该作者 2楼 发表于: 2014-03-11
    都是手工套的
    1条评分光币+5
    linlin911911 光币 +5 精彩回帖,奖励! 2014-04-23
    离线g1137
    发帖
    297
    光币
    807
    光券
    0
    只看该作者 3楼 发表于: 2015-04-15
    版主威武
    离线drymatini
    发帖
    1184
    光币
    1762
    光券
    0
    只看该作者 4楼 发表于: 2015-10-28
    高手贴
    离线wsgui
    发帖
    449
    光币
    0
    光券
    0
    只看该作者 5楼 发表于: 2016-01-23
    好厉害
    离线jsmcu
    发帖
    344
    光币
    83
    光券
    7
    只看该作者 6楼 发表于: 2016-03-17
    看看了
    离线xia0ya0
    发帖
    200
    光币
    143
    光券
    0
    只看该作者 7楼 发表于: 2016-09-07
    很有技术的样子
    离线chenhuanqy
    发帖
    270
    光币
    15
    光券
    0
    只看该作者 8楼 发表于: 2018-10-12
    好厉害的感觉
    离线Optic_Stud
    发帖
    307
    光币
    88
    光券
    0
    只看该作者 9楼 发表于: 2018-11-22
    多谢楼主分享