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CMSDAS CMS Data Analysis School 2019 Pisa
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Europe/Zurich
INFN Pisa
INFN Pisa
Largo Pontecorvo, 3
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Description
CMSDAS is designed to help CMS physicists from across the collaboration to learn, or to learn more, about CMS analysis and thereby to participate in significant ways in any physics analysis including future discoveries. It enables physicists beginning analysis to easily join an ongoing analysis in a productive way. Since 2012, our first global year, schools have been held at FNAL, Pisa, Taipei, DESY, Kolkata, Bari and Korea and over 500 CMS students have now participated in the program. The format for each CMSDAS is very similar and some of the same facilitators attend each school.
A few key components of the CMSDAS School are required “homework”, assigned to registrants prior to attending the school and during the workshop sessions, emphasizing "hands on" work with CMS data. Each school starts with a morning devoted to informational plenary talks followed by the execution of a series of short and long exercises, the essential features of the school.
Prior to the school, attendees are required to complete a list of pre-exercises in order to be able to tackle more realistic problems at the tutorial sessions. They include for example, introducing CMSSW, DAS, fitting, etc. which ensures a fast start at the event.
The short exercises (several hours duration) cover all of the objects from jets to muons and many techniques from event generators to setting upper limits. They occur during the first half of the school followed by the long exercises during the second half. Long exercises are devoted to perform detailed physics measurements using CMS data in a 2.5-day intensive period by focused teams of about 6-8 students. Both, the short and long exercises are designed and facilitated by teams of 2-3 CMS experts called facilitators. Some long exercises go beyond the current state of the art of the corresponding CMS analysis. Thus providing opportunities to get plugged in to a CMS measurement through a long exercise at the school and become a part of the CMS measurement team on the paper.
Exercises will be predominantly based on ongoing Run2 analyses in various physics groups at CMS, as well as DPG tools (tracking, electron/photon, muons and jets reconstruction), Machine Learning and Statistical tools.
To register please click on the "Registration" on the left side menu.
Participants
Alessandro Da Rold
Andrea Bellora
Andrea Carlo Marini
Arash Jofrehei
Brandon Soubasis
Brenda Fabela Enriquez
Carlo Battilana
Claudio Quaranta
Dario Mapelli
Dario Soldi
David Anthony
Davide Valsecchi
Davide Zuolo
Dimitrios Sidiropoulos Kontos
Diogo Bastos
Elisa Fontanesi
Fabrizio Palla
Federica Maria Simone
Federico Siviero
Federico Vazzoler
Florian Bury
Franco Ligabue
Gianny Mestdach
Gigi Rolandi
Giovanni Petrucciani
Giulio Mandorli
Giuseppe Bagliesi
Gourab Saha
Hesham El Faham
Hevjin Yarar
Itana Bubanja
Jelena Mijuskovic
Jonathon Mark Langford
Juan Gonzalez
Kathryn Wendy Coldham
Khawla Jaffel
Konstantin Androsov
Krunal Bipin Gedia
Leonardo Giannini
Liam Wezenbeek
Lorenzo Bianchini
Lorenzo Viliani
Luca Guzzi
Luca Lista
Marco Peruzzi
Maria Agnese Ciocci
Maria Rosaria Di Domenico
Maria Teresa Grippo
Mario Pelliccioni
Matteo Defranchis
Mattia Lizzo
Mia Tosi
Muhammad Mubasher
Natasha Mahmood
Negin Shafiei
Nicolas Stylianou
Nikita Petrov
Paolo Meridiani
Phat Srimanobhas
Piergiulio Lenzi
Pieter David
Pietro Vischia
Raffaella Tramontano
Riccardo Manzoni
Roberto Seidita
Rudy Ceccarelli
Samet Lezki
Samuele Torelli
Sara Fiorendi
Shahram Rahatlou
Shubhi Parolia
Siew Yan Hoh
Silvio Donato
Simone Calzaferri
Sitong An
Sophie Wuyckens
Suvankar Roy Chowdhury
Tatiana Nechaeva
Thong Nguyen
Tomas Kello
Tu Thong Tran
Valerio Bertacchi
Vitaliano Ciulli
Xunwu Zuo
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