STAR HardProbes PWG

[Youqi Song <youqi.song AT yale.edu>]

Hi Nihar and Sooraj,

Thanks for the comments! I just updated my abstract on the drupal page. Regarding the statement on L12, I mean unfolding in higher dimensions can give us correlations between multiple observables. We don't get this correlation information from one dimensional unfolding. Hopefully the way I phrase it now in the abstract makes it clearer.

Best,

Youqi  

On Mon, Jun 20, 2022 at 12:53 PM Sooraj Radhakrishnan <skradhakrishnan AT lbl.gov> wrote:

Hi Youqi,

   Thanks for preparing the nice abstract. 

L12: Potentially its more useful ...: Could you rephrase/expand this part? Why is it more useful? Are our existing measurements carrying some bias? Does it help reduce systematic uncertainties? Or is it the observables studied making multidimensional unfolding more useful?

thanks

Sooraj

On Sat, Jun 18, 2022 at 8:02 AM Nihar Sahoo via Star-hp-l <star-hp-l AT lists.bnl.gov> wrote:

Hello Youqi,

Please find my additional comments below.


Line#10: "non-perturbative processes like fragmentation and
hadronization." -> "non-perturbative processes, like fragmentation and
hadronization."
Line#18-19: "…and neutral energy towers from the Barrel Electromagnetic
Calorimeter." -> "…and neutral particles from the Barrel Electromagnetic
Calorimeter."
Line20-21: "We will present preliminary studies of jet substructure
observables from this dataset, unfolded with MultiFold1, a machine
learning method that simultaneously considers…" -> "We will present
preliminary studies of jet substructure observables unfolded with
MultiFold1, a machine learning method, that simultaneously considers…"
("From this dataset" not required; "a machine learning method" is a
parenthetical element here, not "unfolded with MultiFold")
Line23: "…jet observables." -> "…jet observables in the STAR
experiment."

Regards
Nihar


On 2022-06-18 00:35, Youqi Song wrote:
> Hi Nihar,
>
> Thanks for the comments! I have updated the abstract on the drupal
> page. I removed the sentense of jet substructure observables being
> useful for heavy-ions since I noticed that there's a character limit
> of 1300 and I am slightly over that. I am also not too sure how to
> include the reference of MultiFold since there doesn't seem to be a
> place for footnotes on the submission page wordbox.
>
> Best,
> Youqi
>
> On Fri, Jun 17, 2022 at 1:07 PM Nihar Sahoo via Star-hp-l
> <star-hp-l AT lists.bnl.gov> wrote:
>
>> Hello Youqi,
>>
>> My comment and suggestion on your nice abstract can be found below.
>>
>> Title: "UNFOLDING JET SUBSTRUCTURE OBSERVABLES WITH  MACHINE
>> LEARNING
>> METHOD IN STAR √s = 200 GEV pp COLLISIONS"
>> -> "UNFOLDING JET SUBSTRUCTURE OBSERVABLES WITH  MACHINE LEARNING
>> METHOD
>> AT √s = 200 GEV IN pp COLLISIONS IN STAR"
>>
>> Line#6_ "       …from a common initial parton …" -> "…from an
>> initial parton…"
>> Line#8-9: "jet substructure measurements can provide insights into
>> perturbative evolution of the parton, and  the ensuing
>> non-perturbative
>> processes." -> "jet substructure measurements in vacuum can provide
>> insights into the parton evolution and  the ensuing non-perturbative
>>
>> processes like the fragmentation and hadronization."
>> Line#18:                MultiFold  -> provide reference of PRL
>> paper.
>> Line#23: "We will compare the “MultiFolded” spectra of the
>> observables
>> with the previously published STAR data "  I think  better not to
>> promise too much at this moment. Otherwise You have good abstract;
>> so my
>> suggestion would be just to focus on MultiFold Method and procedures
>>
>> only on data. You can add all these comparison later stage if you
>> will
>> have.
>>
>> Besides, you could mention a couple of sentences in the first part
>> of
>> your abstract on "ML part of unfolding" like why it is useful and
>> important to adopt, etc? For example before line#12 or 17.
>>
>> Regards,
>> Nihar
>>
>> On 2022-06-09 02:28, webmaster--- via Star-hp-l wrote:
>>> Dear Star-hp-l AT lists.bnl.gov members,
>>>
>>> Youqi Song (youqi.song AT yale.edu) has submitted a material for a
>> review,
>>> please have a look:
>>> https://drupal.star.bnl.gov/STAR/node/59908
>>>
>>> ---
>>> If you have any problems with the review process, please contact
>>> webmaster AT www.star.bnl.gov
>>> _______________________________________________
>>> Star-hp-l mailing list
>>> Star-hp-l AT lists.bnl.gov
>>> https://lists.bnl.gov/mailman/listinfo/star-hp-l
>> _______________________________________________
>> Star-hp-l mailing list
>> Star-hp-l AT lists.bnl.gov
>> https://lists.bnl.gov/mailman/listinfo/star-hp-l
_______________________________________________
Star-hp-l mailing list
Star-hp-l AT lists.bnl.gov
https://lists.bnl.gov/mailman/listinfo/star-hp-l

--

Sooraj Radhakrishnan

Research Scientist,

Department of Physics

Kent State University

Kent, OH 44243

Physicist Postdoctoral Affiliate

Nuclear Science Division
Lawrence Berkeley National Lab
MS70R0319, One Cyclotron Road

Berkeley, CA 94720

Ph: 510-495-2473

Email: skradhakrishnan AT lbl.gov