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Tuesday 21st April 2015 from 11:00 (Europe/Zurich)

Run-1 Searches for Beyond-SM Physics with the ATLAS Experiment

by Haas Andrew

As excitement grows for the upcoming start of Run 2 of the LHC, we review the ATLAS searches for physics beyond the SM from Run 1 and present new analyses. These searches have covered a wide range of new physics scenarios including Supersymmetry, other top partners, new resonances, additional Higgs bosons, new Higgs boson decays, new hidden sectors, other dark-matter, and multi-charged particles - just to name a few. In addition to reviewing some of the techniques that made the analyses possib...

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Run-1 Searches for Beyond-SM Physics with the ATLAS Experiment
As excitement grows for the upcoming start of Run 2 of the LHC, we review the ATLAS searches for physics beyond the SM from Run 1 and present new analyses. These searches have covered a wide range of new physics scenarios including Supersymmetry, other top partners, new resonances, additional Higgs bosons, new Higgs boson decays, new hidden sectors, other dark-matter, and multi-charged particles - just to name a few. In addition to reviewing some of the techniques that made the analyses possible, we will summarize what we have learned from the results.
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Upcoming Events

Special CMS General Meeting

by Camporesi Tiziano

 

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Special CMS General Meeting
 

HEPiX Summary

by Reguero Ignacio

This is a joint Computing Seminar - ITTF session reporting on the HEPiX meeting in Oxford.

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HEPiX Summary
This is a joint Computing Seminar - ITTF session reporting on the HEPiX meeting in Oxford.
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IT Lightning Talks: session #5

by Dr. Di Meglio Alberto, Lopienski Sebastian

IT Lightning Talks (ITLT) are short presentations on any topic related to computing technology or to the IT department. See more here: https://twiki.cern.ch/IT/LightningTalks/

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IT Lightning Talks: session #5
IT Lightning Talks (ITLT) are short presentations on any topic related to computing technology or to the IT department. See more here: https://twiki.cern.ch/IT/LightningTalks/
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WMO Secretary-General introduces WMO to the CERN internal audience

by Mr. Jarraud Michel

This is the second in the “International Geneva comes to CERN” series of seminars, which aims to present other Geneva-based international organisations to CERN’s internal audience. At his seminar, Michel Jarraud, the WMO Secretary-General, will discuss the many fields for which the WMO provides world leadership expertise. They include weather, climate, hydrology and water resources, as well as all the related environmental issues.

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WMO Secretary-General introduces WMO to the CERN internal audience
This is the second in the “International Geneva comes to CERN” series of seminars, which aims to present other Geneva-based international organisations to CERN’s internal audience. At his seminar, Michel Jarraud, the WMO Secretary-General, will discuss the many fields for which the WMO provides world leadership expertise. They include weather, climate, hydrology and water resources, as well as all the related environmental issues.
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Higgs Machine Learning Challenge visits CERN

Please note the one hour shift wrt the original schedule. The Higgs Machine Learning challenge (HiggsML https://higgsml.lal.in2p3.fr) ran on the Kaggle platform in summer 2014. Official simulated ATLAS events were publicly released, and participants competed to invent the most powerful algorithms to improve the statistical significance of the Higgs to tau+tau- signal. The participation was overwhelming with more than 1700 teams, Machine learning specialists, physicists and students, submitted more than 30.000 solutions, making it the most popular Kaggle challenge to date. During these few months, a typical HEP problem has been tackled with the most advanced machine learning techniques. This mini workshop is a step towards importing the lessons of the challenge back into High Energy Physics. A mailing list HEP-data-science@googlegroups.com has just been created to deal with anything concerning both HEP and Data Science, in particular Machine Learning. Announcement/discussion about challenges, workshops, relevant papers, tools, etc... Subscription by sending a mail to HEP-data-science+subscribe@googlegroups.com.

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Higgs Machine Learning Challenge visits CERN
Please note the one hour shift wrt the original schedule. The Higgs Machine Learning challenge (HiggsML https://higgsml.lal.in2p3.fr) ran on the Kaggle platform in summer 2014. Official simulated ATLAS events were publicly released, and participants competed to invent the most powerful algorithms to improve the statistical significance of the Higgs to tau+tau- signal. The participation was overwhelming with more than 1700 teams, Machine learning specialists, physicists and students, submitted more than 30.000 solutions, making it the most popular Kaggle challenge to date. During these few months, a typical HEP problem has been tackled with the most advanced machine learning techniques. This mini workshop is a step towards importing the lessons of the challenge back into High Energy Physics. A mailing list HEP-data-science@googlegroups.com has just been created to deal with anything concerning both HEP and Data Science, in particular Machine Learning. Announcement/discussion about challenges, workshops, relevant papers, tools, etc... Subscription by sending a mail to HEP-data-science+subscribe@googlegroups.com.
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