From chemistry-request@ccl.net Mon May 23 05:15:14 2005 Received: from smtp101.mail.sc5.yahoo.com (smtp101.mail.sc5.yahoo.com [216.136.174.139]) by server.ccl.net (8.13.1/8.13.1) with SMTP id j4N9F8NA017049 for ; Mon, 23 May 2005 05:15:09 -0400 Received: from unknown (HELO yahoo.com.cn) (yanliangren?2002@61.183.207.53 with plain) by smtp101.mail.sc5.yahoo.com with SMTP; 23 May 2005 09:15:06 -0000 Message-ID: <42919FE2.1030406 ~~ yahoo.com.cn> Date: Mon, 23 May 2005 17:18:26 +0800 From: yanliangren_2002 User-Agent: Mozilla/5.0 (X11; U; Linux i686; zh-CN; rv:1.2.1) Gecko/20030225 X-Accept-Language: zh-cn,zh MIME-Version: 1.0 To: chemistry ~~ ccl.net Subject: How to fit the two peak into one peak by gaussian fitting? Content-Type: multipart/mixed; boundary="------------080901000104080302040006" X-Spam-Status: No, score=3.4 required=5.0 tests=DNS_FROM_RFC_ABUSE, FROM_ENDS_IN_NUMS,UNIQUE_WORDS autolearn=no version=3.0.3 X-Spam-Level: *** X-Spam-Checker-Version: SpamAssassin 3.0.3 (2005-04-27) on server.ccl.net This is a multi-part message in MIME format. --------------080901000104080302040006 Content-Type: text/plain; charset=gb2312 Content-Transfer-Encoding: 7bit Dear everybody: Now, i have one problem, there are two peak in my hand, the data is list in the attenchment, I intand to fit the two peak to one peak which should be the supraposition of the previous two peak, somebody can give some advice. I can use some soft, such as the origin or sigmaplot etc. Thank u very much. 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References: <42919FE2.1030406 _+_ yahoo.com.cn> In-Reply-To: <42919FE2.1030406 _+_ yahoo.com.cn> Content-Type: text/plain; charset=GB2312 Content-Transfer-Encoding: 7bit X-Spam-Status: No, score=0.0 required=5.0 tests=none autolearn=failed version=3.0.3 X-Spam-Checker-Version: SpamAssassin 3.0.3 (2005-04-27) on server.ccl.net > Dear everybody: > Now, i have one problem, there are two peak in my hand, the data is list > in the attenchment, I intand to fit the two peak to one peak which > should be the supraposition of the previous two peak, somebody can give > some advice. I can use some soft, such as the origin or sigmaplot etc. > Thank u very much. > Best wish to u! If I understand correctly, you mean that you have some function y=f(x, Theta) with unknown parameters Theta and two series of experimental results {y1i, x1i} and {y2i, x2i}. If you mean that the function is the same, that is, y1i = f(x1i, Theta) + e1i y2i = f(x2i, Theta) + e2i where e1i and e2i are observation errors, a good approach is to minimize the sum of squares SS = Sum_i {y1i - f(x1i, Theta)}^2 w1i + Sum_i {y2i - f(x2i, Theta)}^2 w2i where w1i and w2i are some weights (usually w_i ~ 1/variance(e_i)). If functions are different but parameters are the same, actually nothing changes, just use f1 and f2 instead of f. A bigger problem if you have systematic errors, that is, errors within a series are correlated with each other. In this case, I have used an approach based on variance component analysis. You can find more detail at http://evgenii.rudnyi.ru/doc/misc/ExperimentalDatasets.html If I have misunderstood your question, please write more on your problem. Best wishes, Evgenii Rudnyi -- IMTEK-Institute for Microsystem Technology Simulation of Microsystems Freiburg University Georges-Koehler-Allee 103 D-79110 Freiburg i. Br. Germany Tel. (+49 761) 203 7383 Fax (+49 761) 203 7437 http://www.imtek.uni-freiburg.de/simulation/ http://Evgenii.Rudnyi.Ru/