STAR HardProbes PWG

[Nihar Sahoo <nihar AT rcf.rhic.bnl.gov>]

Hello Youqi,

Your abstract looks in good shape.
I sign-off.

Regards
Nihar

On 2022-06-21 02:01, Youqi Song wrote:
> 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 AffiliateNuclear Science Division
> > Lawrence Berkeley National Lab
> > MS70R0319, One Cyclotron Road
> > Berkeley, CA 94720
> > Ph: 510-495-2473 [1]
> >
> > Email: skradhakrishnan AT lbl.gov
>
>
> Links:
> ------
> [1] tel:%28510%29%20495-2473