4Misc_Start^4Platform^¿@B9èVersionCheckè ¬xHH%.îÿîÿ7@gyÞšHHdh� ¬xHH%.îÿîÿ7@gyÞšHHdh� ¬x HH%.îÿîÿ7@gyÞšHHdh� ^Graph*0†WDashSettings#úÿ  !¶‚ à»6Normalÿÿÿÿ@ ÿLucida Consoleÿÿÿÿÿÿ<ÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿHHHH$$4 4 4 4 4 4 Ýhome©¡dþÿÿÿüZ:Documents:forwa:Documents:Aspirantura:Conferences:Hyperpolarization_Perspectives:Nottingham:Software:IgorPro:semilog_T2_fitting:Z:Documents:forwa:Documents:Aspirantura:Conferences:Hyperpolarization_Perspectives:Nottingham:Software:IgorPro:semilog_T2_fitting3RecentWindowsÿGraph0:Intensity vs time_v;...Graph1:LogarithmIntensity1 vs time_v;...Graph2:LogarithmIntensity2 vs time_v;...Graph3:LogarithmIntensity3 vs time_v;...Graph4:LogarithmIntensity4 vs time_v;...Graph5:LogarithmIntensity5 vs time_v;...Igor Reference.ihf 4Misc_End^TXOPState_Start ^PeakFunctions2-64;Graph0;,4XOPState_End^lV_chisq²ëv Æ@V_numNaNsV_numINFsV_npntsY@V_nterms@V_nheldV_startRowV_endRowÀX@V_startColV_endColV_startLayerV_endLayerV_startChunkV_endChunkˆ •Make/D/N=100 time_v=0.001*p •Make/D/N=100 Intensity=70*exp(-time_v/0.005)+30*exp(-time_v/0.02) •Duplicate Intensity, LogarithmIntensity1 •LogarithmIntensity1=ln(Intensity) •Duplicate LogarithmIntensity1, LogarithmIntensity2, LogarithmIntensity3, LogarithmIntensity4 •Display Intensity vs time_v •ModifyGraph mode=3,marker=19,msize=1,rgb=(0,0,65535) •Make/D/N=4/O W_coef •W_coef[0] = {60,40,7E-3,30E-3} •FuncFit/TBOX=768 biexp W_coef Intensity /X=time_v /D 9 iterations with no decrease in chi square fit_Intensity= biexp(W_coef,x) W_coef={70,30,0.005,0.02} V_chisq= 0;V_npnts= 100;V_numNaNs= 0;V_numINFs= 0;V_startRow= 0; V_endRow= 99; W_sigma={0,0,0,0} Coefficient values ± one standard deviation I1 =70 ± 0 I2 =30 ± 0 T2f =0.005 ± 0 T2s =0.02 ± 0 •Display LogarithmIntensity1 vs time_v •ModifyGraph mode=3,marker=8,msize=1,rgb=(3,52428,1) •Make/D/N=4/O W_coef •W_coef[0] = {60,40,7E-3,25E-3} •FuncFit/TBOX=768 mylog W_coef LogarithmIntensity1 /X=time_v /D 9 iterations with no decrease in chi square fit_LogarithmIntensity1= mylog(W_coef,x) W_coef={70,30,0.005,0.02} V_chisq= 0;V_npnts= 100;V_numNaNs= 0;V_numINFs= 0;V_startRow= 0; V_endRow= 99; W_sigma={0,0,0,0} Coefficient values ± one standard deviation I1 =70 ± 0 I2 =30 ± 0 T2f =0.005 ± 0 T2s =0.02 ± 0 •Display LogarithmIntensity2 vs time_v •ModifyGraph mode=3,marker=8,msize=1,rgb=(3,52428,1) •showinfo •Make/D/N=2/O W_coef •W_coef[0] = {4,25E-3} •FuncFit/TBOX=768 myline W_coef LogarithmIntensity2[17,] /X=time_v /D Fit converged properly Curve fit with data subrange: LogarithmIntensity2[17,*] fit_LogarithmIntensity2= myline(W_coef,x) W_coef={3.469,0.019643} V_chisq= 0.055197;V_npnts= 83;V_numNaNs= 0;V_numINFs= 0; V_startRow= 17;V_endRow= 99; W_sigma={0.00751,4.61e-05} Coefficient values ± one standard deviation C =3.469 ± 0.00751 T2 =0.019643 ± 4.61e-05 •Make/D/N=2/O W_coef •W_coef[0] = {4,25E-3} •FuncFit/TBOX=768 myline W_coef LogarithmIntensity2[19,] /X=time_v /D Fit converged properly Curve fit with data subrange: LogarithmIntensity2[19,*] fit_LogarithmIntensity2= myline(W_coef,x) W_coef={3.4548,0.019719} V_chisq= 0.030823;V_npnts= 81;V_numNaNs= 0;V_numINFs= 0; V_startRow= 19;V_endRow= 99; W_sigma={0.00596,3.65e-05} Coefficient values ± one standard deviation C =3.4548 ± 0.00596 T2 =0.019719 ± 3.65e-05 •Display LogarithmIntensity3 vs time_v •ModifyGraph mode=3,marker=8,msize=1,rgb=(3,52428,1) •HideInfo •ShowInfo •Make/D/N=2/O W_coef •W_coef[0] = {4,7E-3} •FuncFit/TBOX=768 myline W_coef LogarithmIntensity3[0,8] /X=time_v /D Fit converged properly Curve fit with data subrange: LogarithmIntensity3[0,8] fit_LogarithmIntensity3= myline(W_coef,x) W_coef={4.58,0.0074609} V_chisq= 0.00229604;V_npnts= 9;V_numNaNs= 0;V_numINFs= 0; V_startRow= 0;V_endRow= 8; W_sigma={0.0111,0.00013} Coefficient values ± one standard deviation C =4.58 ± 0.0111 T2 =0.0074609 ± 0.00013 •HideInfo •ShowInfo •HideInfo •Display LogarithmIntensity4 vs time_v •ModifyGraph mode=3,marker=8,msize=1,rgb=(3,52428,1) •ShowInfo •HideInfo •Make/D/N=9 Difference •Difference=LogarithmIntensity4[p]-(3.4548-time_v[p]/0.019719) •AppendToGraph/W=Graph4 Difference vs time_v[0,8] •RemoveFromGraph Difference •AppendToGraph/W=Graph4 Difference vs time_v •ModifyGraph mode=3,msize=1,marker(Difference)=19,rgb(Difference)=(52428,17472,1) •ModifyGraph rgb(Difference)=(0,0,0) •Make/D/N=2/O W_coef •W_coef = {1,7E-3} •FuncFit/TBOX=768 myline W_coef Difference /X=time_v[0,8] /D Fit converged properly fit_Difference= myline(W_coef,x) W_coef={1.1252,0.012002} V_chisq= 0.00229604;V_npnts= 9;V_numNaNs= 0;V_numINFs= 0; V_startRow= 0;V_endRow= 8; W_sigma={0.0111,0.000337} Coefficient values ± one standard deviation C =1.1252 ± 0.0111 T2 =0.012002 ± 0.000337 •Duplicate LogarithmIntensity1, LogarithmIntensity5 •Display LogarithmIntensity5 vs time_v •ModifyGraph mode=3,marker=8,msize=1,rgb=(3,52428,1) •Make/D/N=2/O W_coef •W_coef[0] = {4,20E-3} •FuncFit/TBOX=768 myline W_coef LogarithmIntensity5 /X=time_v /D Fit converged properly fit_LogarithmIntensity5= myline(W_coef,x) W_coef={3.7991,0.01794} V_chisq= 3.76405;V_npnts= 100;V_numNaNs= 0;V_numINFs= 0; V_startRow= 0;V_endRow= 99; W_sigma={0.0389,0.000219} Coefficient values ± one standard deviation C =3.7991 ± 0.0389 T2 =0.01794 ± 0.000219 •Make/D/N=2/O W_coef •W_coef[0] = {4,20E-3} •FuncFit/TBOX=768 myline W_coef LogarithmIntensity5 /X=time_v /D Fit converged properly fit_LogarithmIntensity5= myline(W_coef,x) W_coef={3.7991,0.01794} V_chisq= 3.76405;V_npnts= 100;V_numNaNs= 0;V_numINFs= 0; V_startRow= 0;V_endRow= 99; W_sigma={0.0389,0.000219} Coefficient values ± one standard deviation C =3.7991 ± 0.0389 T2 =0.01794 ± 0.000219 •ShowInfo •ShowInfo !OIí Ë`ãí Ù Ùdtime_vdð?ð?ð?ð?ü©ñÒMbP?ü©ñÒMb`?ú~j¼t“h?ü©ñÒMbp?{®Gázt?ú~j¼t“x?yé&1¬|?ü©ñÒMb€?<ßO�—n‚?{®Gáz„?ºI +‡†?ú~j¼t“ˆ?:´Èv¾ŸŠ?yé&1¬Œ?¸…ëQ¸Ž?ü©ñÒMb�?œÄ °rh‘?<ßO�—n’?Ûù~j¼t“?{®Gáz”?/Ý$�•?ºI +‡–?Zd;ßO�—?ú~j¼t“˜?š™™™™™™?:´Èv¾Ÿš?ÙÎ÷S㥛?yé&1¬œ?V-²�?¸…ëQ¸ž?X9´Èv¾Ÿ?ü©ñÒMb ?L7‰A`å ?œÄ 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[©Ö-ü?¤¬_|û?{£ß˜JÏú?Þ©—Q{&ú?Å�²xÖ�ù?ä&:hAáø?G¿²,¢Dø?`]°ß«÷?ÿʧÂà÷?qŒöù�…ö?qœÈÏ÷õ?Ùª2i�mõ?ìo®¶æô?OÃú/cô?:Ëó:æâó?tï:éÄeó?|ö¸ëò?&.Ĭtò?y:ë�ò? U€/K�ñ?æ ¿Ñ ñ?å¡Aüµð?_ÁºôKð?:xÞÊï?WjsYÞï?7¥žCÉ?î?Ôü²+€�í?þ,ÀÌäÇì?šK¥¢Ùì? åAbë?èÙÖ‚¶ê?”[ïý ê?«;jé?°eí*>Êè?t/H4P.è?¶‚l\7–ç?î¿I~Ûç?ž©¨ %qæ??ñQýãå?ACO)MZå?»óEwÿÓä?Þxê®þPä?dé‹6Ñã?¿¶?‘Tã?�%î�üÚâ?2&{±ddâ?ÆQÖ¶ðá?òG§àá?�á?Ðá?‚¿ù-t¦à?s¶il»=à?ÔQ*Ã*¯ß?Zf¹ãçÞ?òªo$‚%Þ?Ù –6çgÝ?C·«âô®Ü?è‡0Ù�úÛ?Dƒ•JÛ?™ÑþïžÚ?dËd‚÷Ù?„EGD1TÙ?IìÒ¦ã´Ø?7Á €Ø?ãká°í�×?­1:µîÖ?&ê* Ý]Ö?J8˜1ÑÕ?åµSúGÕ?ŒI;"ÂÔ?Ÿ/¨“?Ô?,5k]:ÀÓ?-rîDÓ?â—­ùÖÊÒ?¥Öp¦TÒ?P+Èb\áÑ?LˆÝçpÑ?DÍ—ž6Ñ?SµF7˜Ð?òÞâØ/Ð?¦_9ДÏ?žD#pzÍÎ?K$‹-À Î?UÔôWÈNÍ? eòÿt–Ì?"ôdò¨âË?DrÛ³G3Ë?fit_Intensity= biexp(W_coef,x) W_coef={70,30,0.005,0.02} V_chisq= 0;V_npnts= 100;V_numNaNs= 0;V_numINFs= 0;V_startRow= 0; V_endRow= 99; W_sigma={0,0,0,0} Coefficient values ± one standard deviation I1 =70 ± 0 I2 =30 ± 0 T2f =0.005 ± 0 T2s =0.02 ± 0 �Ò[PŒ6íÙÙW_sigmað?ð?ð?ð?P>Çö<ë£?±>ÍÌî£,?Ï3à€;•íî Ùð ÙÈfit_LogarithmIntensity1Èràí":M@?ð?ð?ð?Uµ»±k@ÁqrrV@–6Ð@\HŠZ„@yÓÙÊ9@‰ ›aŒð@õìÆ§¨@ÚÛûÙ!b@À‹öTÿ@§%' ˆ²@ÇQd‰å-@Zðëä¬@ôäØ)-@C1ý± @bçPÑ7 @Kr$2cÁ @"ÏmxÁM @]�oüãÜ @΀ ÌÀn @´IDL @Ó=í/yš @F¯)é84 @4QØ}{Ð @l!zÕ/o @´COØC @X°Û–¤³@tÈ7q>Y@!Eš=ý@ð×™m̪@)·1—V@‹.ÖšH@l6X¹Ë³@¾®¹ e@{Â4þó@Û Q6pÌ@éeÊrl‚@~´b7Õ9@';Õ‰—ò@ ^Fþ ¬@ñ{UÁßg@}ÈöŸB$@F,C ¹á@hPm&3 @µ¶ µ¡_@ù<ç/ö@U!|º"á@ߥY#£@?û‰áÏe@UJ)8)@ø­OoGí@8ÊnUó±@ù…@´1w@$Paù<@ÈX­r@@ŽKuvÿÉ@Njœ/.‘@åi¯.ÅX@�*y½ @þ¡°!Òÿ?(ÌmSpcÿ?‰ë†]]õþ?wS³b݇þ?rŽSæþ?ÖþnÈn®ý?¥Ò§÷mBý?µ¬)¬ÛÖü?�î“<°kü?a¼­‚äü?N—IÓq–û?Þë‘öQ,û?R±¼ Âú? «#ëóXú?/k¾M«ïù? àú˜ †ù?•õðoÏù?ƒ¨íÂ3µø?ÊËQÊÉLø?í²ÀŽä÷?9ðš#}|÷?\Á$”÷?¨¨œ0Ьö?Õ×e¥.Eö?0¬­Ýõ?–,Ivõ?áªNÚõ?©*B$Ò§ô?xÿc6»@ô?û?^ºÙó?sï)Îró?9½ô ó?Ù¥� -¥ò?’Wïu>ò?aÛûÍ×ñ?†ü²/4qñ?ÄYC‡§ ñ??"°'¤ð?aëJï±=ð?¾Ù· Ž®ï?QÕèÌáî?¯µ:Nî?ªÏɆ~Hí?N Û\ï{ì?ó˲±n¯ë?V{ûâê?÷˜éÁ”ê?d« 9Jé?,5ZBé}è?8æ3ᢱç?{¥¢Åeåæ?¹9E1æ?\«ÄÁMå?¡–g¨ß€ä?ÈYÏpÁ´ã?$™pœ©èâ?6Ôµ—â?EòO‹Pá?ªš”„„à?¬1”ñqß?Ÿå¿¤ÙÝ?~^Ì‚AÜ?˜syõ%©Ú?|ZQq@Ù?Èâtay×?xŽˆˆáÕ?©£<;µIÔ?.½'ç±Ò?|„BëÑ?éK¯]²Ï?©çû=1ÕË?ÇBËÝ·¥È?Kà‡®EvÅ?hÛ+ÚFÂ?.äµé.¾?GL™“*з?Y¼8vq±?c÷·—%¦?å|è¨В?P=¸Mê¦z¿¸¹Ôÿ ¿:ª\AϬ¿uéß Æ´¿7 ¤Jˆ$»¿<±jÁÀ¿³"ö·ðÿGÞÔùíÇ¿l[Z¤!OÊ¿¡£ì S~Í¿¬ÒÔKÁVп)zæXîÑ¿€nòî…Ó¿žÓ ƒÕ¿“§ö|µÖ¿\ú '«LØ¿ìžÒ,>äÙ¿�rq˜Ð{Û¿QSˆubÝ¿¾ÞVÎóªÞ¿K0VB!à¿]ä;Œ íà¿Þºg�ҸῙ׀]š„â¿ÿ‹bPã¿ì5Wx)ä¿rëdÉðçä¿Ð ö·³å¿öäæ¿ÒaìEKç¿ÀAĺ 追3#nÓâè¿-ëoš®é¿Ýéw‹`zê¿r‚çø&Fë¿;LRíì¿W™³Ý쿸GžÎy©í¿|Ïô?uî¿(ŒÂ AᅥÌ fð¿_qÏIlð¿œ(áÿ+Òð¿-¬nò8ñ¿å‡Ýßñ�ñ¿Rú‹ÈÔò¿8{Ѭ·iò¿88ÿŒšÏò¿ ˆ`i}5ó¿àX;B`›ó¿=ŽÐCô¿jc\ê%gô¿h¾ºÍô¿7€3‡ë2õ¿ÙÎâQΘõ¿ÿYQ±þõ¿Ñš¨à“dö¿ô¥vÊö¿Œo¨gY0÷¿#ä•(<–÷¿ï1öçü÷¿Âçå¥bø¿¾†bäÇø¿fit_LogarithmIntensity1= mylog(W_coef,x) W_coef={70,30,0.005,0.02} V_chisq= 0;V_npnts= 100;V_numNaNs= 0;V_numINFs= 0;V_startRow= 0; V_endRow= 99; W_sigma={0,0,0,0} Coefficient values ± one standard deviation I1 =70 ± 0 I2 =30 ± 0 T2f =0.005 ± 0 T2s =0.02 ± 0  Õ€L�6íº Ù» ÙÈfit_LogarithmIntensity2È ì»œX:?ð?ð?ð?Ûù~j¼t“?…î@3 ÙcSÄ@H‘›Ç’š@\^+Òp@p� �G@…#ãòP@š©¥V�ó@®/hºÏÉ@µ* @×;í�Nv@ìÁ¯å�L@HrIÍ"@Î4­ ù@)T÷LÏ@>Ú¹t‹¥@R`|ØÊ{@fæ>< R@zl I(@�òÉþ@¤x†gÈÔ@¸þHË«@Ì„ /G�@á Î’†W@ö��öÅ-@ SZ@=:+|‰´ÿ?fF°Caÿ?ŽR5 ‡ ÿ?¸^ºÒºþ?áj?š„fþ? wÄaþ?2ƒI)‚¿ý?[�Îðlý?„›S¸ý?­§ØþÄü?Ö³]G}qü?ÿ¿âüü?(ÌgÖzÊû?QØì�ùvû?zäqex#û?£ðö,÷Ïú?Ìü{ôu|ú?õ¼ô(ú?†ƒsÕù?G! Kò�ù?p-�q.ù?™9ÚïÚø?ÁEš¡n‡ø?êQií3ø?^¤0là÷?ö?§ÂÝdëõ?0³G¥ã—õ?Z¿ÌlbDõ?‚ËQ4áðô?¬×Öû_�ô?Ôã[ÃÞIô?þïàŠ]öó?&üeRÜ¢ó?Pë[Oó?xpáÙûò?¢ õ¨X¨ò?Ê,zp×Tò?ô8ÿ7Vò?E„ÿÔ­ñ?FQ ÇSZñ?p]ŽŽÒñ?˜iVQ³ð?Âu˜Ð_ð?ê�åN ð?(EY›qï?t4Oè˜Êî?ÈLYw–#î?ec”|í?p}m•‘Õì?¼•w$�.ì? ®�³Œ‡ë?`Æ‹BŠàê?°Þ•ч9ê?÷Ÿ`…’é?Tªï‚ëè?¨'´~€Dè?ø?¾ ~�ç?LXÈœ{öæ?œpÒ+yOæ?ðˆÜºv¨å?@¡æItå?”¹ðØqZä?äÑúgo³ã?8ê÷l ã?ˆ†jeâ?Üh¾á?,3#¤eá?€K-3cpà? Çn„Á’ß?Hø‚¢¼DÞ?ð(—À·öÜ?�Y«Þ²¨Û?8Š¿ü­ZÚ?غÓ© Ù?€ëç8¤¾×? üVŸpÖ?ÈLuš"Õ?`}$“•ÔÓ?®8±�†Ò?¨ÞLÏ‹8Ñ?�ÂÚ ÕÏ?àê9Í? áSúœÊ?pB;�ðÈ?°£cËædÅ?ŒÝÈÂ?@f´CÓ,À? �¹ÿ’!»? Q xéµ?@[ðk±°?€­WѰò¦?€eòƒ™?¾Õ”“p?†‡¹ˆ»�¿>"lëÍ¢¿À¸€{>­¿à™oÅ׳¿@×M0¹¿ÀÎÔCG¾¿©>®«¿Á¿ÀGrµ[Ä¿€æí5¿÷Æ¿0…Åùȓɿð#�½Ò/Ì¿ Ât�ÜËο°0¦"ó³Ð¿’øÒ¿pÏ}æüOӿОiÈžÔ¿(nUªìÕ¿ˆ=AŒ :׿à -nˆØ¿@ÜPÖÙ¿˜«2$Û¿øzðrÜ¿PJÜõ#ÀÝ¿°È×(ß¿„ôÙÜ.à¿4ÜÏMÕà¿àÞ|á¿�«»/#â¿@“±  Êâ¿èz§#q㿘b�‚%ä¿HJ“ó'¿ä¿ø1‰d*få¿ Õ, æ¿XuF/´æ¿éj·1[ç¿°Ð`(4è¿`¸V™6©è¿ L 9Pé¿À‡B{;÷é¿ho8ì=žê¿W.]@Eë¿È>$ÎBìë¿p&?E“ì¿ °G:í¿Ðõ!Jáí¿€Ýû‘Lˆî¿(ÅñO/ï¿Ø¬çsQÖï¿DÊnò©>ð¿¾é*+’ð¿ð±dc¬åð¿È¥ß›-9ñ¿ ™ZÔ®Œñ¿x�Õ 0àñ¿L�PE±3ò¿$uË}2‡ò¿ühF¶³Úò¿Ô\Áî4.ó¿¨P<'¶�ó¿€D·_7Õó¿X82˜¸(ô¿0,­Ð9|ô¿ ( »Ïô¿à£A<#õ¿¸z½võ¿Œû˜²>Êõ¿dïë¿ö¿<ãŽ#Aqö¿× \ÂÄö¿èÊ„”C÷¿À¾ÿÌÄk÷¿˜²zF¿÷¿p¦õ=Çø¿DšpvHfø¿Žë®É¹ø¿ô�fçJ ù¿Curve fit with data subrange: LogarithmIntensity2[19,*] fit_LogarithmIntensity2= myline(W_coef,x) W_coef={3.4548,0.019719} V_chisq= 0.030823;V_npnts= 81;V_numNaNs= 0;V_numINFs= 0; V_startRow= 19;V_endRow= 99; W_sigma={0.00596,3.65e-05} Coefficient values ± one standard deviation C =3.4548 ± 0.00596 T2 =0.019719 ± 3.65e-05  É&€DÕûí Ù ÙÈfit_LogarithmIntensity3È¡‰É°?ð?ð?ð?@RÔ°ðQ@Õê£4lL@jƒs¸çF@þC@å·/ó‹8@zPÿv3@éÎú‚-@£�ž~þ'@8nz"@Ͳ=†õ@bK q@÷ãÜ�ì@Œ|¬h @ |•ã@µ­K_@JF�Úû@ßÞê Vö@twº¤Ñð@Š(Më@�¨Y¬Èå@2A)0Dà@ÇÙø³¿Ú@\rÈ7;Õ@𠘻¶Ï@…£g?2Ê@<7íÄ@¯ÔG)¿@DmÖʤ¹@ئN ´@mžuÒ›®@7EV©@—ÏÚ’£@,hä]ž@À´á‰˜@U™ƒe“@ê1Sé€�@Ê"mü‡@còðw‚@¨ûÁtó|@=”‘ønw@Ò,a|êq@gÅ0fl@ü]„áf@�öÏ]a@%�Ÿ‹Ø[@º'oTV@OÀ>“ÏP@äXKK@xñÝšÆE@ Š­B@@¢"}¢½:@7»L&95@ÌSª´/@`ìë-0*@õ„»±«$@Š‹5'@¶Z¹¢@´N*=@HçùÀ™@ÝÉD @r™È�@bјü@8“p ñ@aĨæ@Šõ®¯ýÚ@´&N·ôÏ@ÞWí¾ëÄ@‰ŒÆâ¹@1º+ÎÙ®@[ëÊÕУ@„jÝǘ@®M å¾�@Ø~¨ìµ‚@°Gô¬w@+áæû£l@T†›a@~C% ’V@¨tĉK@Ñ¥c€@@ûÖ"w5@$¢)n*@N9A1e@xjà8\@¡›@S @ËÌHJþ@ôý½OAó@/]W8è@H`ü^/Ý@q‘›f&Ò@›Â:nÇ@ÅóÙu¼@î$y} ±@V…¦@B‡·Œùš@k¸V”ð�@”éõ›ç„@¾•£Þy@èK4«Õn@}Ó²Ìc@;®rºÃX@eߺM@ޱɱB@¸APѨ7@ârïØŸ,@ ¤Žà–!@5Õ-è�@^Íï„ @ˆ7l÷{@²h ÿrõ @Û™ªjê @ËIaß @.üèXÔ @X-ˆOÉ @‚^'%F¾ @«�Æ,=³ @ÕÀe44¨ @þñ<+� @(#¤C"’ @RTCK‡ @{…âR| @¥¶�Zq @Îç bþe @øÀiõZ @"J_qìO @K{þxãD @u¬�€Ú9 @žÝ<ˆÑ. @ÈÜ�È# @ò?{—¿ @qŸ¶ @E¢¹¦­ @nÓX®¤÷ @˜øµ›ì @Â5—½’á @ëf6Å‰Ö @˜ÕÌ€Ë @?ÉtÔwÀ @húÜnµ @’+³ãeª @¼\Rë\Ÿ @å�ñòS” @¿�úJ‰ @8ð/B~ @b!Ï 9s @ŒRn0h @µƒ '] @Þ´¬ R @æK(G @2ë/ < @\HŠ71 @…y)?ú% @®ªÈFñ @ØÛgNè @Curve fit with data subrange: LogarithmIntensity3[0,8] fit_LogarithmIntensity3= myline(W_coef,x) W_coef={4.58,0.0074609} V_chisq= 0.00229604;V_npnts= 9;V_numNaNs= 0;V_numINFs= 0; V_startRow= 0;V_endRow= 8; W_sigma={0.0111,0.00013} Coefficient values ± one standard deviation C =4.58 ± 0.0111 T2 =0.0074609 ± 0.00013 È'šˆ”íá Ù– Ù Difference ð?ð?ð?ð?òËq‘êgò?’$<¹žÆð?¤aÍy†sî?ÜcFÚ’„ë?pj1ÉäÁè?ä|&HŽ,æ?( ¶q%Åã?ă㽋á?àòǺÏÿÞ?ÇÖ+€ÑŒ6í-Ù/ÙÈfit_DifferenceÈ¡‰É°?ð?ð?ð?€_/pæò?íG8.óñ?Œz`våñ?yȽ×ñ?™•‘�Êñ?#ªXM¼ñ?¥°Â •®ñ?+>ÛèÜ ñ?±Ëó°$“ñ?7Y yl…ñ?½æ$A´wñ?Dt= üiñ?ÊVÑC\ñ?P�n™‹Nñ?Ö‡aÓ@ñ?\ªŸ)3ñ?â7¸ñb%ñ?hÅйªñ?îRé�ò ñ?uàJ:üð?ûm‚îð?�û2ÚÉàð?‰K¢Óð?�djYÅð?¤|2¡·ð?™1•úè©ð? ¿­Â0œð?¦LÆŠxŽð?,ÚÞRÀ€ð?²g÷sð?8õãOeð?¾‚(«—Wð?DAsßIð?Ê�Y;'<ð?Q+ro.ð?׸ŠË¶ ð?]F£“þð?ãÓ»[Fð?Ò¨Gïï?ßÝÙ׫Óï?ëø h;¸ï?÷<øÊœï?/mˆZ�ï?Jžêeï?eϨyJï?(€9 /ï?4›1ɘï?A¶bY(øî?MÑ“é·Üî?ZìÄyGÁî?fö ×¥î?r"'šfŠî?~=X*önî?ŠX‰º…Sî?—sºJ8î?£ŽëÚ¤î?¯©k4î?¼ÄMûÃåí?Èß~‹SÊí?Ôú¯ã®í?àá«r“í?í0<xí?ùKCÌ‘\í?gt\!Aí?‚¥ì°%í?�Ö|@ í?*¸ Ðîì?6Ó8�_Óì?Bîi-ï·ì?O ›½~œì?[$ÌM�ì?g?ýÝ�eì?tZ.n-Jì?€u_þ¼.ì?Œ��ŽLì?˜«ÁÜ÷ë?¤Æò®kÜë?±á#?ûÀë?¾üTÏŠ¥ë?ʆ_Šë?Ö2·ï©në?âMè9Së?îhÉ7ë?úƒJ Xë?Ÿ{0èë?º¬Àwåê? ÕÝPÊê?,ðá–®ê?8 @q&“ê?D&q¶wê?PA¢‘E\ê?\\Ó!Õ@ê?iw²d%ê?v’5Bô ê?‚­fÒƒîé?ŽÈ—bÓé?šãÈò¢·é?¦þù‚2œé?³+€é?¾4\£Qeé?ËO�3áIé?Øj¾Ãp.é?ä…ïSé?ð  ä�÷è?ü»QtÜè?ׂ¯Àè?ò³”>¥è?! å$Ήè?.(µ]nè?:CGEíRè?F^xÕ|7è?Ry©e è?^”Úõ›è?k¯ †+åç?xÊ<»Éç?ƒåm¦J®ç?�Ÿ6Ú’ç?œÐÆiwç?¨6Wù[ç?´Q2çˆ@ç?Àlcw%ç?͇”¨ ç?ڢŗ7îæ?æ½ö'ÇÒæ?òØ'¸V·æ?þóXHæ›æ? ŠØu€æ?*»heæ?#Eìø”Iæ?0`‰$.æ?;{N´æ?H–©C÷å?T±°9ÓÛå?`ÌáÉbÀå?lçZò¤å?xDê�‰å?…uznå?’8¦ ¡Rå?žSך07å?ªn+Àå?¶‰9»Oå?¤jKßää?ο›ÛnÉä?ÛÚÌkþ­ä?èõýû�’ä?ô/Œwä?,`­[ä? G‘¬<@ä?bÂ<Ì$ä?%}óÌ[ ä?1˜$]ëíã?=³UízÒã?IΆ} ·ã?Vé· š›ã?bé�)€ã?n.¹dã?{:K¾HIã?‡U|NØ-ã?“p­Þgã?Ÿ‹Þn÷öâ?¬¦ÿ†Ûâ?·Á@�Àâ?ÄÜq¦¤â?Ð÷¢¯5‰â?ÝÔ?Åmâ?é-ÐTRâ?õH6`ä6â?dgðsâ?˜€â?šÉ“äá?&µú "Éá?3Ð+1²­á??ë\ÁA’á?KŽQÑvá?W!¿á`[á?d<ðqð?á?pW!€$á?|rR’ á?ˆ�ƒ"Ÿíà?•¨´².Òà?¡ÃåB¾¶à?­ÞÓM›à?¹ùGcÝà?Æyóldà?Ò/ªƒüHà?ÞJÛŒ-à?ëe ¤à?î{hVíß?8݈u¶ß?n?©”ß?8¤¡É³Hß?PÚêÒß?hf òÚÞ?€FÈ*¤Þ?š|*K0mÞ?²²ŒkO6Þ?Ìèî‹nÿÝ?âQ¬�ÈÝ?úT³Ì¬‘Ý?‹íËZÝ?fit_Difference= myline(W_coef,x) W_coef={1.1252,0.012002} V_chisq= 0.00229604;V_npnts= 9;V_numNaNs= 0;V_numINFs= 0; V_startRow= 0;V_endRow= 8; W_sigma={0.0111,0.000337} Coefficient values ± one standard deviation C =1.1252 ± 0.0111 T2 =0.012002 ± 0.000337  4Ü`Í�6ínÙnÙdLogarithmIntensity5dð?ð?ð?ð?Uµ»±k@¼ÉªÊpÏ@JK˜ðK8@Jª�¦@`‰ŠÄ;@YØòE'@&ºAÇ�%@ PŸíY/ @pª8vˆD @3�µÕßd @™Å{v� @ Ä&e�Å @J¾DÈê @u³ÉˆM@*Ö[™Åž@¢¦Ã;ù÷@�xÜçyX@:P)ËŸ¿@ø¶È,@ í1ˆWŸ@égŒÏ»@m{Zúl’@„\ãí@£l[fÌ”@ÝÐ,8¡@D:•€£@ÿ IÄ-@$ð×Ïuº@‘ÊÌâH@8`£±ÿ?û´zÇÔþ?ªÈÌ&âøý?¹¯ þœý?·�ö² Hü?§¡oiöqû?ª}Óö&�ú?¦µ3ðqÉù?!Ò°öø?Oy@Â$ø?Ø.`\‰S÷?E"o.í‚ö?l2*#زõ?‘IÔ—7ãô?§&Ùuûô?¡A#ÛEó?¡×Ízvò?|%ú¨ñ?=«€xüÙð?3•mœ ð?¨™”‘{|î?SŸ•,áì?݉sFë?|EL¶<«é?/0Œè?ßINJvæ?ÙÀî™Ûä?ö‰¼[NAã? »÷�§á?4Ê®þ à?럿ûååÜ?ÌÊ|bï±Ù?PÌÿ~Ö?{_—PJÓ?ŒöQ9 Ð?*'‹ÆÉ?µá~ƒä^Ã?”[e¾ï¹?ͤìÀCª?ÙP–(ñ U?‡5fßò¨¿Ä¶^ðêF¹¿Ü‰áð& ÿæhÂôÍpÉ¿þÒ¤øk×Ï¿ËÉ·Ó¿î!¬ëHRÖ¿|@Ú�…Ù¿»ª.PиܿPئìß¿x Ô“§�῎Õ F)ã¿ùÊ·ÔãÂä¿Ù› �\æ¿Þ.é¼öç¿Æºº�é¿JèU)ë¿}˜|ñÂ쿵šÉŒ\î¿ÂÇ_Ú'öï¿¢hq[áÇð¿¡5³®”ñ¿ý}ž÷{aò¿E<^+I.ó¿ôÆPûó¿ý×iãÇô¿CuIx°”õ¿ ,–}}aö¿R/{J.÷¿¬qû÷¿Â†bäÇø¿ÎPO€ÌûíÙÙÈfit_LogarithmIntensity5Èràí":M@?ð?ð?ð?Î8<ë™d@¬–¨Ï+@‹ô&ó @iR�C9º @H°í`n� @&Z~£H @lÆ›Ø @ãÉ2¹ × @Á'ŸÖBž @ … ôwe @~ãw­, @\Aä.âó @;ŸPL» @ý¼iL‚ @øZ)‡�I @Ö¸•¤¶ @µÂë× @“tnß Ÿ @rÒÚüUf @P0G‹- @.޳7Àô @ ìUõ» @ëIŒr*ƒ @ʧø�_J @¨e­” @†cÑÊÉØ@eÁ=èþŸ@Cª4g@"}#i.@Û‚@žõ@Þ8ï]Ó¼@½–[{„@›ôǘ=K@zR4¶r@X° Ó§Ù@6 ñÜ @lyh@ôÉå+G/@Ò'RI|ö@°…¾f±½@�ã*„æ„@mA—¡L@LŸ¿P@*ýoÜ…Ú@[Üùº¡@ç¸Hðh@ŵ4%0@¤t!RZ÷@‚Ò�o�¾@`0úŒÄ…@?ŽfªùL@ìÒÇ.@üI?åcÛ@Ú§«™¢@¸ Îi@—c„=1@uÁðZ8ø@T]xm¿@2}É•¢†@Û5³×M@ï8¢Ð @ΖîAÜ@¬ôz w£@ŠRç(¬j@h°SFá1@Ž€Ç,òÿ?JØX—€ÿ?”1=ÿ?ÅO xk�þ?� ã²Õ+þ?>Ç»í?ºý?ü‚”(ªHý?¸>mc×ü?túEž~eü?2¶Ùèóû?îq÷S‚û?¬-ÐN½û?h騉'Ÿú?$¥�Ä‘-ú?â`Zÿû»ù? 3:fJù?\Ø uÐØø?”ä¯:gø?ÔO½ê¤õ÷?’ –%„÷?PÇn`y÷? ƒG›ã ö?È> ÖM/ö?„úø¸½õ?B¶ÑK"Lõ?rª†ŒÚô?¼-ƒÁöhô?xé[ü`÷ó?4¥47Ë…ó?ò` r5ó?°欟¢ò?lؾç 1ò?(”—"t¿ñ?äOp]ÞMñ?¢ I˜HÜð?`Ç!Ó²jð?8õ:òï?°}¦‘ï?,õWã+î?¤l }·Hí? äºò‹eì?˜[lh`‚ë?ÓÞ4Ÿê?ŒJÏS ¼é?€ÉÝØè?€92?²õç?ø°ã´†ç?p(•*[/æ?ìŸF /Lå?døiä?àŽ©‹Ø…ã?X[­¢â?Ô} w�¿á?Lõ½ìUÜà?ˆÙÞÄTòß?€ÈA°ý+Þ?p·¤›¦eÜ?h¦‡OŸÚ?X•jrøØØ?H„Í]¡×?@s0IJLÕ?8b“4ó…Ó?(Qöœ¿Ñ?0€²ŠòÏ?^xíÛeÌ?<>Ä-ÙÈ?à›LÅ?À÷ÉqÑ¿Á?€«‘Ff¼?@g«>êLµ?@FnØg¬?€{ gÆhœ?TÓé¨ê>€¦–,bœ¿ÀÛ3»Æc¬¿2°?Kµ¿@v‚œd¼¿ ]{*ü¾Á¿@µSªKÅ¿`¡ï|XØÈ¿€Ã)¦eÌ¿ åcÏ´ñÏ¿ÐO|1¿Ñ¿àì�ˆ…Ó¿ð%‰¥ßKÕ¿7&º6׿HÃÎ�ØØ¿Y`ãäžÚ¿ jý÷;eÜ¿0{š “+Þ¿@Œ7!êñß¿¨Nêš Üà¿(×8%L¿á¿°_‡¯w¢â¿8èÕ9£…㿸p$ÄÎhä¿@ùrNúKå¿È�ÁØ%/æ¿P cQç¿Ø’^í|õç¿`­w¨Øè¿è£ûÔ»é¿h,JŒÿžê¿ð´˜+‚ë¿x=ç Veì¿øÅ5+‚Hí¿€N„µ­+î¿×Ò?Ùï¿�_!Êòï¿ ô7*˜jð¿P8_ï-Üð¿”|†´ÃMñ¿ÔÀ­yY¿ñ¿Õ>ï0ò¿XIü…¢ò¿œ�#Éó¿àÑJް…ó¿$rSF÷ó¿hZ™Ühô¿¬žÀÝqÚô¿ðâç¢Lõ¿4'h�½õ¿tk6-3/ö¿¸¯]òÈ ö¿øó„·^÷¿<8¬|ôƒ÷¿€|ÓAŠõ÷¿ÄÀú gø¿"ÌµØø¿LII‘KJù¿��pVá»ù¿ÔÑ—w-ú¿¿à Ÿú¿XZ楢û¿˜ž k8‚û¿fit_LogarithmIntensity5= myline(W_coef,x) W_coef={3.7991,0.01794} V_chisq= 3.76405;V_npnts= 100;V_numNaNs= 0;V_numINFs= 0; V_startRow= 0;V_endRow= 99; W_sigma={0.0389,0.000219} Coefficient values ± one standard deviation C =3.7991 ± 0.0389 T2 =0.01794 ± 0.000219 *”// Platform=WindowsNT, IGORVersion=8.030, architecture=Intel, systemTextEncoding="Windows-1251", historyTextEncoding="UTF-8", procwinTextEncoding="UTF-8", recreationTextEncoding="UTF-8", build=33570 #pragma TextEncoding = "UTF-8" Silent 101 // use | as bitwise or -- not comment. DefaultFont "Arial" MoveWindow/P 5.25,44.75,705,500 Graph0() Graph4() MoveWindow/C 7.5,546.5,1432.5,720.5 Graph5() Graph1() Graph2() Graph3() KillStrings/Z root:gWMSetNextTextFilesTextEncoding Window Graph3() : Graph PauseUpdate; Silent 1 // building window... Display /W=(677.25,293,1071.75,501.5) LogarithmIntensity3 vs time_v AppendToGraph fit_LogarithmIntensity3 ModifyGraph mode(LogarithmIntensity3)=3 ModifyGraph marker(LogarithmIntensity3)=8 ModifyGraph rgb(LogarithmIntensity3)=(3,52428,1) ModifyGraph msize(LogarithmIntensity3)=1 Cursor/P A LogarithmIntensity3 0;Cursor/P B LogarithmIntensity3 8 ShowInfo TextBox/C/N=CF_LogarithmIntensity3 "Coefficient values ± one standard deviation\r\tC \t=4.58 ± 0.0111\r\tT2\t=0.0074609 ± 0.00013" EndMacro Window Graph2() : Graph PauseUpdate; Silent 1 // building window... Display /W=(270,290,664.5,498.5) LogarithmIntensity2 vs time_v AppendToGraph fit_LogarithmIntensity2 ModifyGraph mode(LogarithmIntensity2)=3 ModifyGraph marker(LogarithmIntensity2)=8 ModifyGraph rgb(LogarithmIntensity2)=(3,52428,1) ModifyGraph msize(LogarithmIntensity2)=1 Cursor/P A LogarithmIntensity2 19;Cursor/P/A=0 B LogarithmIntensity2 99 ShowInfo TextBox/C/N=CF_LogarithmIntensity2 "Coefficient values ± one standard deviation\r\tC \t=3.4548 ± 0.00596\r\tT2\t=0.019719 ± 3.65e-05" EndMacro Window Graph1() : Graph PauseUpdate; Silent 1 // building window... Display /W=(713.25,45.5,1107.75,254) LogarithmIntensity1 vs time_v AppendToGraph fit_LogarithmIntensity1 ModifyGraph mode(LogarithmIntensity1)=3 ModifyGraph marker(LogarithmIntensity1)=8 ModifyGraph rgb(LogarithmIntensity1)=(3,52428,1) ModifyGraph msize(LogarithmIntensity1)=1 TextBox/C/N=CF_LogarithmIntensity1/X=0.46/Y=0.00 "Coefficient values ± one standard deviation\r\tI1 \t=70 ± 0\r\tI2 \t=30 ± 0\r\tT2f\t=0.005 ± 0\r\tT2s\t=0.02 ± 0" EndMacro Window Graph5() : Graph PauseUpdate; Silent 1 // building window... Display /W=(1038.75,47,1433.25,255.5) LogarithmIntensity5 vs time_v AppendToGraph fit_LogarithmIntensity5 ModifyGraph mode(LogarithmIntensity5)=3 ModifyGraph marker(LogarithmIntensity5)=8 ModifyGraph rgb(LogarithmIntensity5)=(3,52428,1) ModifyGraph msize(LogarithmIntensity5)=1 TextBox/C/N=CF_LogarithmIntensity5 "Coefficient values ± one standard deviation\r\tC \t=3.7991 ± 0.0389\r\tT2\t=0.01794 ± 0.000219" EndMacro Window Graph4() : Graph PauseUpdate; Silent 1 // building window... Display /W=(1061.25,296,1455.75,504.5) LogarithmIntensity4 vs time_v AppendToGraph Difference vs time_v AppendToGraph fit_Difference ModifyGraph mode(LogarithmIntensity4)=3,mode(Difference)=3 ModifyGraph marker(LogarithmIntensity4)=8,marker(Difference)=19 ModifyGraph rgb(LogarithmIntensity4)=(3,52428,1),rgb(Difference)=(0,0,0) ModifyGraph msize(LogarithmIntensity4)=1,msize(Difference)=1 TextBox/C/N=CF_Difference "Coefficient values ± one standard deviation\r\tC \t=1.1252 ± 0.0111\r\tT2\t=0.012002 ± 0.000337" EndMacro Window Graph0() : Graph PauseUpdate; Silent 1 // building window... Display /W=(317.25,41.75,711.75,250.25) Intensity vs time_v AppendToGraph fit_Intensity ModifyGraph mode(Intensity)=3 ModifyGraph marker(Intensity)=19 ModifyGraph rgb(Intensity)=(0,0,65535) ModifyGraph msize(Intensity)=1 TextBox/C/N=CF_Intensity "Coefficient values ± one standard deviation\r\tI1 \t=70 ± 0\r\tI2 \t=30 ± 0\r\tT2f\t=0.005 ± 0\r\tT2s\t=0.02 ± 0" EndMacro ¡#pragma TextEncoding = "UTF-8" #pragma rtGlobals=3 // Use modern global access method and strict wave access. Function myline(w,t) : FitFunc Wave w Variable t //CurveFitDialog/ These comments were created by the Curve Fitting dialog. Altering them will //CurveFitDialog/ make the function less convenient to work with in the Curve Fitting dialog. //CurveFitDialog/ Equation: //CurveFitDialog/ f(t) = C-t/T2 //CurveFitDialog/ End of Equation //CurveFitDialog/ Independent Variables 1 //CurveFitDialog/ t //CurveFitDialog/ Coefficients 2 //CurveFitDialog/ w[0] = C //CurveFitDialog/ w[1] = T2 return w[0]-t/w[1] End Function biexp(w,t) : FitFunc Wave w Variable t //CurveFitDialog/ These comments were created by the Curve Fitting dialog. Altering them will //CurveFitDialog/ make the function less convenient to work with in the Curve Fitting dialog. //CurveFitDialog/ Equation: //CurveFitDialog/ f(t) = I1*exp(-t/T2f)+I2*exp(-t/T2s) //CurveFitDialog/ End of Equation //CurveFitDialog/ Independent Variables 1 //CurveFitDialog/ t //CurveFitDialog/ Coefficients 4 //CurveFitDialog/ w[0] = I1 //CurveFitDialog/ w[1] = I2 //CurveFitDialog/ w[2] = T2f //CurveFitDialog/ w[3] = T2s return w[0]*exp(-t/w[2])+w[1]*exp(-t/w[3]) End Function mylog(w,t) : FitFunc Wave w Variable t //CurveFitDialog/ These comments were created by the Curve Fitting dialog. Altering them will //CurveFitDialog/ make the function less convenient to work with in the Curve Fitting dialog. //CurveFitDialog/ Equation: //CurveFitDialog/ f(t) = ln(I1*exp(-t/T2f)+I2*exp(-t/T2s)) //CurveFitDialog/ End of Equation //CurveFitDialog/ Independent Variables 1 //CurveFitDialog/ t //CurveFitDialog/ Coefficients 4 //CurveFitDialog/ w[0] = I1 //CurveFitDialog/ w[1] = I2 //CurveFitDialog/ w[2] = T2f //CurveFitDialog/ w[3] = T2s return ln(w[0]*exp(-t/w[2])+w[1]*exp(-t/w[3])) End