ÔÆÌ⺣ - רҵÎÄÕ·¶ÀýÎĵµ×ÊÁÏ·ÖÏíÆ½Ì¨

µ±Ç°Î»ÖãºÊ×Ò³ > ºËÊý¾Ý´¦Àí¿Î³ÌÉè¼Æ±¨¸æÕýʽ¸å

ºËÊý¾Ý´¦Àí¿Î³ÌÉè¼Æ±¨¸æÕýʽ¸å

  • 62 ´ÎÔĶÁ
  • 3 ´ÎÏÂÔØ
  • 2025/12/4 16:50:57

ºËÊý¾Ý´¦Àí¿Î³ÌÉè¼Æ

Ìâ Ä¿£º?Äܯׯ×Êý¾Ý·Ö½â·½·¨Ñо¿

Ó¢ÎÄÌâÄ¿£º

? Spectroscopy spectral data

Decomposition Method

ѧ Ôº£ººË¹¤³ÌÓëµØÇòÎïÀíѧԺ ѧÉúÐÕÃû£ºÁõ ìÏ ïÇ ×¨ÒµÄê¼¶£ººË¹¤³ÌÓëºË¼¼Êõ0 9¼¶ ѧ ºÅ£º0 9 0 2 1 1 3 5 Ö¸µ¼½Ìʦ£ºÎâ ºÍ Ï² ÀÏ Ê¦

¶þÁãÒ»¶þÄêÁùÔÂ

ºËÊý¾Ý´¦Àí¿Î³ÌÉè¼Æ±¨¸æ

?Äܯׯ×Êý¾Ý·Ö½â·½·¨Ñо¿

ÕªÒª

ÓɶàµÀÂö³å·ÖÎöÆ÷»ñÈ¡µÄÆ×Êý¾ÝÐèÒªÒÔÒ»¶¨µÄÊýѧ·½·¨½øÐд¦Àí²ÅÄܵõ½ÊµÑéÒªÇóµÄ

×îÖÕ½á¹û¡£Äܯ׵ÄÊý¾Ý´¦Àí´óÖ¿ÉÒÔ·ÖΪÁ½¸ö²½Öè¡£Ê×ÏȽøÐзå·ÖÎö£¬¼´ÓÉÄÜÆ×Êý¾ÝÖÐÕÒµ½È«²¿ÓÐÒâÒåµÄ·å£¬²¢¼ÆËã³ö¿Û³ý±¾µ×Ö®ºóÿ¸ö·åµÄ¾»Ãæ»ý¡£µÚ¶þ²½ÊÇ·ÅÉäÐÔºËËØµÄ»î¶È»òÑùÆ·ÖÐÔªËØÅ¨¶ÈµÄ¼ÆË㣬¼´ÓÉ·åλËù¶ÔÓ¦µÄÄÜÁ¿Ê¶±ð³ö±»²âÑùÆ·Öк¬ÓÐÄÄЩ·ÅÉäÐÔºËËØ»ò±»¼¤·¢µÄÔªËØ£¬²¢ÇÒÓÉ·åµÄ¾»Ãæ»ý¼ÆËã³ö·ÅÉäÐÔºËËØµÄ»î¶È»òÔªËØÔÚÑùÆ·ÖеÄŨ¶È¡£

²ÉÓò»Í¬µÄÎïÀíʵÑé·½·¨£¬Ê¹Óò»Í¬µÄ̽²âÆ÷ʱ£¬Äܯ׵ÄÊý¾Ý´¦Àí·½·¨Ò²ÓÐËù²»Í¬¡£ÔÚ±¾¿Î³ÌÉè¼Æ±¨¸æÖвÉÓÃÄÜÆ×Êý¾Ý´¦ÀíÖо­³£Óõ½µÄ·å·ÖÎö·½·¨£¬°üÀ¨Æ×Êý¾ÝµÄƽ»¬´¦Àí£¬±¾µ×¿Û³ý¡¢Ñ°·å¡¢·å¾»Ãæ»ý¼ÆËãºÍº¯ÊýÄâºÏ·¨½âÆ×¡£È»ºó£¬ÒÔ?Æ×·ÖÎöΪÀý£¬ÌÖÂÛ»ùÓÚ¼ÆËã»úµÄ¶àµÀÂö³å·ÖÎöϵͳÖÐµÄÆ×ÔÚmatlabÈí¼þƽ̨µÄÊý¾Ý·Ö½â¡£

¹Ø¼ü´Ê£º?Äܯף¬½âÆ×£¬Æ½»¬´¦Àí£¬Ñ°·åѰ·å

2

ºËÊý¾Ý´¦Àí¿Î³ÌÉè¼Æ±¨¸æ

? Spectroscopy spectral data Decomposition

Method

Abstract

Spectral data obtained by multi-channel pulse analyzer need to be the end result of certain mathematical methods to deal with to get the experimental requirements. The energy spectrum of data processing can be divided into two steps. First peak analysis, all the significant peaks from the spectral data, and calculate the net area of each peak after deducting the background. The second step is Radionuclides or the calculation of element concentrations in the samples, energy identified by the peak position corresponding to the tested samples containing radionuclides or excited elements and calculate the net area of the peak radionuclides or elements in the sample concentration.

Different physical experiments, using a different detector, the energy spectrum of data processing methods are different. This course is designed report using the peak analysis method often used in the spectral data processing, including spectral data smoothing, background subtraction, peak search, peak net area calculations and functions fitting solution spectrum. Then, spectral analysis, for example, the discussion of the data decomposition in matlab software platform based on the spectrum in the multi-channel analyzer computer.

Key Words£º?Spectroscopy, deconvolution, smoothing, peak searching to find the peak

3

ºËÊý¾Ý´¦Àí¿Î³ÌÉè¼Æ±¨¸æ

Ŀ¼

Ŀ¼ ...................................................................................................................................................................... 4 1ǰÑÔ ................................................................................................................................................................... 5

1.1 ?Äܯ׷ÖÎöµÄÄ¿µÄ¡¢ÒâÒå ................................................................................................................. 5 1.2 ?Äܯ׷ÖÎöµÄÖ÷ÒªÄÑÌâ ..................................................................................................................... 5 1.3 ?Äܯ׽âÆ×µÄÑо¿¼ò½é ..................................................................................................................... 6 1.4 ±¾´Î¿Î³ÌÉè¼Æ?Äܯ׷ÖÎöµÄÑо¿ÄÚÈÝ ............................................................................................. 6

Æ×Êý¾ÝµÄƽ»¬ ....................................................................................................................................... 8

2

?2.1 ÖØÐÄ·¨ ................................................................................................................................................... 8 2.2 ¶àÏîʽ×îС¶þ³ËÒÆ¶¯Æ½»¬·¨ ............................................................................................................... 8 2.3¸µÀïÒ¶±ä»»·¨ ........................................................................................................................................ 9 2.4 С²¨±ä»»·¨ ......................................................................................................................................... 10 3 ·åλÓë·åÇøµÄÈ·¶¨ ........................................................................................................................................ 10 4 ·åÃæ»ý·½·¨¼òÊö .............................................................................................................................................11 5 ·åÏà¹Ø²ÎÊý¼ò½é ............................................................................................................................................ 12 6 ÄÜÁ¿¿Ì¶È ........................................................................................................................................................ 13 7 ³ÌÐòµÄ²âÊÔ .................................................................................................................................................... 14

7.1ʵÑé½á¹û .............................................................................................................................................. 14 7.2Êý¾Ý·ÖÎö .............................................................................................................................................. 17 7.3˵Ã÷ ...................................................................................................................................................... 17 8 ÐĵÃÌå»á ........................................................................................................................................................ 18

4

ËÑË÷¸ü¶à¹ØÓÚ£º ºËÊý¾Ý´¦Àí¿Î³ÌÉè¼Æ±¨¸æÕýʽ¸å µÄÎĵµ
  • ÊÕ²Ø
  • Î¥¹æ¾Ù±¨
  • °æÈ¨ÈÏÁì
ÏÂÔØÎĵµ10.00 Ôª ¼ÓÈëVIPÃâ·ÑÏÂÔØ
ÍÆ¼öÏÂÔØ
±¾ÎÄ×÷Õߣº...

¹²·ÖÏí92ƪÏà¹ØÎĵµ

Îĵµ¼ò½é£º

ºËÊý¾Ý´¦Àí¿Î³ÌÉè¼Æ Ìâ Ä¿£º?Äܯׯ×Êý¾Ý·Ö½â·½·¨Ñо¿ Ó¢ÎÄÌâÄ¿£º ? Spectroscopy spectral data Decomposition Method ѧ Ôº£ººË¹¤³ÌÓëµØÇòÎïÀíѧԺ ѧÉúÐÕÃû£ºÁõ ìÏ ïÇ ×¨ÒµÄê¼¶£ººË¹¤³ÌÓëºË¼¼Êõ0 9¼¶ ѧ ºÅ£º0 9 0 2 1 1 3 5 Ö¸µ¼½Ìʦ£ºÎâ ºÍ Ï² ÀÏ Ê¦ ¶þÁãÒ»¶þÄêÁùÔ ºËÊý¾Ý´¦Àí¿Î³ÌÉè¼Æ±¨¸æ ?Äܯׯ×Êý¾Ý·Ö½â·½·¨

¡Á ÓοͿì½ÝÏÂÔØÍ¨µÀ£¨ÏÂÔØºó¿ÉÒÔ×ÔÓɸ´ÖƺÍÅŰ棩
µ¥Æª¸¶·ÑÏÂÔØ
ÏÞÊ±ÌØ¼Û£º10 Ôª/·Ý Ô­¼Û:20Ôª
VIP°üÔÂÏÂÔØ
ÌØ¼Û£º29 Ôª/Ô ԭ¼Û:99Ôª
µÍÖÁ 0.3 Ôª/·Ý ÿÔÂÏÂÔØ150·Ý
ȫվÄÚÈÝÃâ·Ñ×ÔÓɸ´ÖÆ
VIP°üÔÂÏÂÔØ
ÌØ¼Û£º29 Ôª/Ô ԭ¼Û:99Ôª
µÍÖÁ 0.3 Ôª/·Ý ÿÔÂÏÂÔØ150·Ý
ȫվÄÚÈÝÃâ·Ñ×ÔÓɸ´ÖÆ
×¢£ºÏÂÔØÎĵµÓпÉÄÜ¡°Ö»ÓÐĿ¼»òÕßÄÚÈݲ»È«¡±µÈÇé¿ö£¬ÇëÏÂÔØÖ®Ç°×¢Òâ±æ±ð£¬Èç¹ûÄúÒѸ¶·ÑÇÒÎÞ·¨ÏÂÔØ»òÄÚÈÝÓÐÎÊÌ⣬ÇëÁªÏµÎÒÃÇЭÖúÄã´¦Àí¡£
΢ÐÅ£ºfanwen365 QQ£º370150219
Copyright © ÔÆÌ⺣ All Rights Reserved. ËÕICP±¸16052595ºÅ-3 ÍøÕ¾µØÍ¼ ¿Í·þQQ£º370150219 ÓÊÏ䣺370150219@qq.com