[PRad] [EXTERNAL] Re: Presentation for the CLAS Collaboration Meeting

gasparan at jlab.org gasparan at jlab.org
Sat Jul 8 04:17:52 EDT 2023


> Dear Jingyi
>
> I still believe that the plot is not very attractive. First, it is based
> on a very old data set from the 1990s. Then, it is not very intuitive to
> me why the reduced cross section normalized to the squared dipole form
> factor should not be within a few percent from unity, at least at low
> epsilon. At epsilon = 0, the reduced cross section equals G_M^2 and the
> value on the y-axis equals (G_M/G_D)^2, right? I believe one can easily
> produce a much more convincing plot from today's existing world data set.
> The A1 data set, Bernauer et al., has Rosenbluth separations for 77
> different Q2 values.
>
> I was referring to your label saying "Tagger" on p. 17, it gives the
> impression that it is used in the measurement.
>
> Have a nice weekend,
> Patrick
>
> ________________________________________
> From: Jingyi Zhou <jingyi.zhou at duke.edu>
> Sent: Friday, July 7, 2023 15:17
> To: Patrick Achenbach; prad at jlab.org
> Subject: Re: [PRad] [EXTERNAL] Re: Presentation for the CLAS Collaboration
>      Meeting
>
> Hi Patrick,
>
> Thanks for your questions.
>
> The plot on page 4 is from Fig.3 of this paper, I added the reference to
> the slides now.
> https://arxiv.org/pdf/hep-ph/0612014.pdf<https://urldefense.proofpoint.com/v2/url?u=https-3A__arxiv.org_pdf_hep-2Dph_0612014.pdf&d=DwMFAg&c=CJqEzB1piLOyyvZjb8YUQw&r=DexAQjBL_LBq3J1v5tq-2pUGL-q3U3lNFJACyX2xBKA&m=E_EYfRyweu3oKMK978wA9Tm_nYzjkM99u1ajkLgDfSn9CB9wOD1QEel7xDggrg2h&s=ejkZvtT8yGHmd3_8R2wNTNjWrDqn3Ic574InVqdmILw&e=>
> It is an example demonstrating the Rosenbluth separation technique. Data
> points are shown for the Q2 values of 2.5 (open triangles), 5.0 (open
> circles) and 7.0 (filled triangles) (GeV/c)^2 . The straight lines are
> linear fits to the corresponding data points.
>
> I am confused about your question on p.17. I don't have any references on
> p.17.
>
> I also changed that to "proposal" on p.23.
>
> Best,
> Jingyi
> ________________________________
> From: Patrick Achenbach <patricka at jlab.org>
> Sent: Friday, July 7, 2023 2:40 PM
> To: prad at jlab.org <prad at jlab.org>; Jingyi Zhou <jingyi.zhou at duke.edu>
> Subject: Re: [PRad] [EXTERNAL] Re: Presentation for the CLAS Collaboration
> Meeting
>
> Dear Jingyi,
>
> thanks for the nice slides. I have a few comments:
>
> I don't fully understand your plot on page 4.
> - Which data set is plotted there? Is this from PRad? No reference is
> given.
> - Why are the values between 7 and 9? Is this in per mille? The
> differences of any cross section data form the standard dipole form are
> maximum of 2-3 %.
> - What is the Q2-value for the three different data sets?
>
> I also don't quite understand the references to the tagger on p. 17. The
> tagger is not operational. I have not seen a request to upgrade the tagger
> in the DRad proposal.
>
> On p. 23 I would call the DRad a "proposal", in line of what Ashot was
> discussing.
>
> Best,
> Patrick
>
> ________________________________________
> From: PRad <prad-bounces at jlab.org> on behalf of Jingyi Zhou via PRad
> <prad at jlab.org>
> Sent: Friday, July 7, 2023 14:06
> To: prad at jlab.org
> Subject: [PRad] [EXTERNAL] Re: Presentation for the CLAS Collaboration
> Meeting
>
> Dear all,
>
> Thank you very much for your comments! Attached please find the latest
> version of my presentation.
>
> Best,
> Jingyi
> ________________________________
> From: PRad <prad-bounces at jlab.org> on behalf of Jingyi Zhou via PRad
> <prad at jlab.org>
> Sent: Wednesday, July 5, 2023 6:42 PM
> To: prad at jlab.org <prad at jlab.org>
> Subject: [PRad] [EXTERNAL] Presentation for the CLAS Collaboration Meeting
>
> Dear all,
>
> Attached are my slides for the CLAS Collaboration Meeting. The talk will
> be on next Friday (July 14th) at 10:05 am. It will be 20mins presentation
> + 5mins Q&A. Please let me know if you have any suggestions.
>
> Thanks,
> Jingyi
>
> _______________________________________________
> PRad mailing list
> PRad at jlab.org
> https://mailman.jlab.org/mailman/listinfo/prad
>




More information about the PRad mailing list