US ATLAS HL-LHC computing discussion

[pcalafiura AT lbl.gov]

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BEGIN:VEVENT
DTSTART:20200303T180000Z
DTEND:20200303T200000Z
DTSTAMP:20200228T000624Z
ORGANIZER;CN=kaminskaya AT google.com:mailto:kaminskaya AT google.com
UID:23vjcfq50l9piov0mcsvv462pq AT google.com
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 ;CN=mileseu AT google.com;X-NUM-GUESTS=0:mailto:mileseu AT google.com
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X-MICROSOFT-CDO-OWNERAPPTID:-755600064
CREATED:20200124T204301Z
DESCRIPTION:Hi All\, <br><br>Please hold this date\, March 3rd\, 10 am to 1
 2 pm Pacific Time for an Atlas ML Track Meeting at Google. You can attend i
 n person or join the video call. <br><br>The goal of the meeting is to disc
 uss Paolo's team tracking algorithm and see what improvements can be made t
 o it. <br><br>Please let me know if the proposed date/time works for you an
 d I will start planning the meeting. <br><br>Ema<br>-----------------------
 ---------------------------------------------------------------------------
 ----------------------------------------<br>Background Information from Pao
 lo:<br><br><br>The Kaggle challenge and dataset are at<br><a href="https://
 www.kaggle.com/c/trackml-particle-identification">https://www.kaggle.com/c/
 <u></u>trackml-particle-<u></u>identification</a>&nbsp\;<br>The page contai
 ns several notebooks that help understand the problem and the language.<br>
 <br>We currently have a prototype algorithm that uses Graph Neural Network 
 to solve the problem<br><a href="https://github.com/exatrkx/exatrkx-neurips
 19/tree/master/gnn-tracking" id="ow1921" __is_owner="true">https://github.c
 om/exatrkx/<u></u>exatrkx-neurips19/tree/master/<u></u>gnn-tracking</a>&nbs
 p\;&nbsp\;<br><br><br>The GitHub also has a link to our neurips paper&nbsp\
 ;<br><br><a href="https://ml4physicalsciences.github.io/files/NeurIPS_ML4PS
 _2019_83.pdf">https://ml4physicalsciences.<u></u>github.io/files/NeurIPS_ML
 4PS_<u></u>2019_83.pdf<br></a><br><br>We have achieved excellent results in
  deciding which hit doublets (segments) are likely to belong to a track. We
  do not have a good architecture to solve the track following step of the a
 lgorithm: given a variable-length list of "good" segments\, produce a varia
 ble-length list of likely track candidates. Currently\, we are doing this w
 ith some simple heuristic that does not perform as well as the doublet clas
 sifier.\n\n-::~:~::~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:
 ~:~:~:~:~:~:~:~::~:~::-\nPlease do not edit this section of the description
 .\n\nThis event has a video call.\nJoin: https://meet.google.com/vqf-buju-a
 tx\n+1 319-343-8105 PIN: 149094#\nView more phone numbers: https://tel.meet
 /vqf-buju-atx?pin=9263524416967&hs=7\n\nView your event at https://www.goog
 le.com/calendar/event?action=VIEW&eid=MjN2amNmcTUwbDlwaW92MG1jc3Z2NDYycHEgd
 XNhdGxhcy1obGxoYy1jb21wdXRpbmctbEBsaXN0cy5ibmwuZ292&tok=MjEja2FtaW5za2F5YUB
 nb29nbGUuY29tOWUwZDkxMzk4ZjAwZjQwMmYwYmM1N2M5NDcwMDQxNDM1NzVlMmU0Mg&ctz=Ame
 rica%2FLos_Angeles&hl=en&es=1.\n-::~:~::~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~
 :~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~::~:~::-
LAST-MODIFIED:20200228T000622Z
LOCATION:SVL-MP2-8-Jannu (13) [GVC]
SEQUENCE:2
STATUS:CONFIRMED
SUMMARY:Atlas ML Track: Tech meetings at Google\, Sunnyvale\, CA  
TRANSP:TRANSPARENT
END:VEVENT
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