[Primex2] Compton result from Li
li ye
yeli.ciae at gmail.com
Mon Feb 15 20:34:58 EST 2016
Hi Ilya,
sorry it should be acceptance = yield / input ;
&y = aqrt(yield) / yield about aqrt(10000)/10000 = 1/100 ;
&input : aqrt(60000)/60000 = 1/245 ;
so stat. error = acc* aqrt( 1/100^2 + 1/245^2) = 0.2%
so the stat. error can not be that much jump
may be I use the wrong mc file , I will re-run the simulation file to make
sure no error files and discuss with you tomorrow .
Thanks
Li
2016-02-15 20:21 GMT-05:00 Ilia Larin <ilarin at jlab.org>:
>
> Hi Li,
>
> I think I don't completely understand what means
> "acceptance = input number / yield",
> and acceptance function on the plot does not necessarily
> look wrong - depends on stat. errors.
>
> Ilya
>
> ps: yes, sure we can discuss tomorrow.
>
>
> ----- Original Message -----
> From: "li ye" <yeli.ciae at gmail.com>
> To: "ganl" <ganl at uncw.edu>
> Cc: "Ilya Larin" <ilarin at jlab.org>, "pawel" <pawel at jlab.org>, "primex2" <
> primex2 at jlab.org>
> Sent: Monday, February 15, 2016 8:08:53 PM
> Subject: Re: Compton result from Li
>
> Hi Ilia,
>
> here I attached flux plot and MCinput plot , they looks like same shape
> that's why I assume the MC input number should proportional to the flux,
> of course the final cross section has nothing to do with this input, only
> depend on the acceptance and the yield .
> if you make the input number has some random variation , that also
> make sense, I just want to make sure what you did in the simulation.
> but either way , I must have the smooth acceptance right ?
> I plot the acceptance , which = input number / yield , here the yield is
> what I got from reconstructed simulation result , without any cut .
> but the acceptance still look not right .
> may be we can talk more face to face . are you available tomorrow ?
> Thanks
> Li
>
> 2016-02-15 17:22 GMT-05:00 li ye <yeli.ciae at gmail.com>:
>
> > Hi Ilia,
> > regarding your questions:
> > 1) the vertical axis is the input events number / data flux* 10e9
> > 2) 10 combined Echannel is one energy bin first bin (4.4Gev) is for
> > Echannel 170- 180
> > 3) MC input is the generated events number which put in the simulation
> > for each Echannel , not reconstructed number
> > 4) I will show you more plot later
> > 5) flux means data flux
> >
> > Cheers
> >
> >
> > 2016-02-16 6:11 GMT+08:00 Gan, Liping <ganl at uncw.edu>:
> >
> >> Hi, Li,
> >>
> >> Would you please answer Ilya's questions?
> >>
> >> Liping
> >>
> >> -----Original Message-----
> >> From: Ilia Larin [mailto:ilarin at jlab.org]
> >> Sent: Monday, February 15, 2016 4:04 PM
> >> To: Gan, Liping
> >> Cc: li ye; pawel; primex2
> >> Subject: Re: Compton result from Li
> >>
> >>
> >> I Liping,
> >> I thing I need to clarify some details about page 17 bottom plot, so I
> >> can look at MC:
> >>
> >> 1) what are the units on vertical axis?
> >> 2) what is exact energy bin definition?
> >> 3) "the Monte Carlo event number" means generated or reconstructed
> >> number?
> >> 4) if he checked the photon flux distribution - why not show it as well
> >> on the presentation
> >> 5) flux in denominator means data flux, not mc flux
> >>
> >> Ilya
> >>
> >>
> >>
> >> ----- Исходное сообщение -----
> >> От: "ganl" <ganl at uncw.edu>
> >> Кому: "Ilya Larin" <ilarin at jlab.org>
> >> Копия: "li ye" <yeli.ciae at gmail.com>, "pawel" <pawel at jlab.org>,
> >> "primex2" <primex2 at jlab.org>
> >> Отправленные: Понедельник, 15 Февраль 2016 г 15:28:59
> >> Тема: RE: Compton result from Li
> >>
> >> HI, Ilya,
> >>
> >> Please look at page 17 in his presentation. The top figure shows the
> >> extracted cross section and the bottom figure shows the ratio of the
> Monte
> >> Carlo event number per energy bin over the photon flux. Both
> >> distributions have quite similar shapes. On the other hand, one should
> >> expect the bottom distribution should only be related to the
> experimental
> >> photon flux and Monte Carlo Compton sample, and it has nothing to do
> with
> >> actually experimental Compton production. He said that he checked the
> photo
> >> flux distribution and found relatively smooth distribution. Therefore he
> >> conclude that the fluctuation in the figures on the page 17 might be
> caused
> >> by the Monte Carlo sample.
> >>
> >> Liping
> >>
> >> -----Original Message-----
> >> From: Ilia Larin [mailto:ilarin at jlab.org]
> >> Sent: Monday, February 15, 2016 3:11 PM
> >> To: Gan, Liping
> >> Cc: li ye; pawel; primex2
> >> Subject: Re: Compton result from Li
> >>
> >>
> >> Hi Liping,
> >> There's no comments on his slides,
> >> what MC issue did he demonstrate?
> >> Ilya
> >>
> >>
> >> ----- Исходное сообщение -----
> >> От: "ganl" <ganl at uncw.edu>
> >> Кому: "li ye" <yeli.ciae at gmail.com>, "pawel" <pawel at jlab.org>, "Ilya
> >> Larin" <ilarin at jlab.org>
> >> Копия: "primex2" <primex2 at jlab.org>
> >> Отправленные: Понедельник, 15 Февраль 2016 г 14:51:28
> >> Тема: RE: Compton result from Li
> >>
> >> Hi, Pawel and Ilya,
> >>
> >> Li demonstrated in his presentation on last Friday that the fluctuation
> >> in his extracted Compton cross section might be caused by MC simulation
> >> sample. I think that it is very important. Would you please take a close
> >> look at his presentation? I would suggest to investigate the MC
> simulation
> >> as soon as possible.
> >>
> >> Cheers,
> >> Liping
> >>
> >>
> >>
> >> From: Primex2 [mailto:primex2-bounces at jlab.org] On Behalf Of li ye
> >> Sent: Friday, February 12, 2016 3:03 PM
> >> To: Yang Zhang
> >> Cc: primex2 at jlab.org
> >> Subject: Re: [Primex2] PrimEx-II analysis meeting reminder
> >>
> >> Hi powel , Ilia ,
> >> Please take a look the slides I have for todays meeting .
> >> I use the Tfraction fitter to fit the data and get the cross section
> >> result, the fitting is much better , but I still have some jump for the
> >> cross section , so I checked the calculation all over again and found a
> >> problem.
> >>
> >> in the simulation in my understanding ,the N-input for each Echannel
> >> should be like :
> >> cross-theory = Yield-mc / (const * flux * Acc ) where const is
> >> constant from target information , Acc is acceptance = Yield-mc /
> >> N-input ,
> >> so cross-theory = Yield-mc *(N-input/Yield-mc) /(const*flux)
> >> cross-theory = N-input /(const*flux)
> >> N-input = const*flux*cross-theory
> >>
> >> means N-input should proportional to the cross-theory but if you check
> >> the last slides plot , the N-input number I got looks not right
> behavior .
> >> Please correct me if i am wrong .
> >> Yang , would you please also check the simulation input / flux for pi0 ?
> >> see if it is mach the theory shape ?
> >>
> >> Cheers
> >> Li
> >>
> >> 2016-02-11 22:18 GMT-05:00 Yang Zhang <yzhang132 at gmail.com<mailto:
> >> yzhang132 at gmail.com>>:
> >> Dear collaborators,
> >>
> >> We'll have our weekly meeting on February 12th, this Friday afternoon at
> >> 1:30pm in F227.
> >>
> >> please log onto https://jlab.bluejeans.com/2265619819/ to view the
> >> sharing. And Make sure your microphone and speaker are ok before
> entering
> >> our meeting.
> >>
> >> You can also dial phone number +1 888-240-2560<tel:+1%20888-240-2560>
> to
> >> join the meeting with meeting ID 2265619819<tel:2265619819>.
> >>
> >> Meeting webpage:
> >>
> http://wwwold.jlab.org/primex/weekly_meetings/primexII/slides_2016_02_12
> >>
> >> Directory for your presentation files:
> >> /group/primex/html/weekly_meetings/primexII/slides_2016_02_12
> >> Best
> >> Yang
> >>
> >> _______________________________________________
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> >>
> >
> >
>
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