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Mario Lassnig (CERN)11/10/2019, 09:45
We propose to integrate the Rucio data management system with SWAN. This will allow users, such as ATLAS and CMS scientists, to interact with experiment data without having to resort to manual operations for searching and downloading files. We will present several user workflow scenarios, the boundaries of the experiment infrastructure, and propose potential architectures to support this development.
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Heather Russell (McGill University (CA))11/10/2019, 10:05
This talk will provide a short overview on how we use SWAN within ATLAS trigger and DAQ operations. I will cover both live, online use and also show how this transitions into offline use.
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Matteo Bonanomi (Centre National de la Recherche Scientifique (FR))11/10/2019, 10:55
The CMS detector at the Large Hadron Collider (LHC) is currently being upgraded in the context of the future High-Luminosity (HL-LHC) phase, which will integrate 10 times the LHC luminosity. The CMS experiment plans to replace the current endcap calorimeter with a high granularity calorimeter (HGCAL).
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In this talk I will focus on my personal usecase concerning the HGCAL test beam data... -
Bong-Hwi Lim (Pusan National University (KR))11/10/2019, 11:15
ALICE Data Analysis without wired PC feat. SWAN
Bong-Hwi LimMany devices have been used for the HEP data analysis. Most of them were wired desktop, which has a stable network connection, enough storage and analysis specific software. Thanks to the abundant computing resources provided by CERN computing group, we could bring it to the client devices based on CERNbox and SWAN. In this...
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Nicolo Jacazio (Universita e INFN, Bologna (IT))11/10/2019, 11:30
In my day to day work, I usually use SWAN when I need to share with my colleagues some fast computation, some toy Monte Carlo or some quick analysis.
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I also use SWAN when performing some tests or preparing some physics figures so I can always have them stored for future reference.
I find the usage of SWAN useful when working together with many people, it is nice to have an isolated... -
Leszek Grzanka (AGH University of Science and Technology (PL))11/10/2019, 11:45
The TOTEM and CMS experiments use the software framework for offline data processing, namely CMSSW. The framework provides necessary data formats for accessing and analysing RECO and AOD objects. In our study we investigated the feasibility of using SWAN, RDataFrame and Spark technologies to examine, analyse and reduce 500 TB data sample generated by the TOTEM detectors. The sample itself is a...
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Brian Ventura (Université Paris-Saclay (FR))11/10/2019, 12:05
SWAN usage at COMPASS
My PhD subject in COMPASS is the extraction of the cross section of the Deeply Virtual Compton Scattering process ($\mu p \to \mu p \gamma$), in order to get insights on the structure of the proton. The collaboration already has working softwares for reconstruction of the data, and also for the further analysis.
I chose to extract from the existing software all the...
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Spencer Gessner (SLAC National Accelerator Laboratory (US))11/10/2019, 12:20
I will discuss the AWAKE dataset and analysis package, focusing on image analysis techniques.
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Piotr Sowinski (CERN)11/10/2019, 14:00
NXCALS system provided by BE-CO is a successor of CALS, based on Hadoop Big Data technologies using cluster computing power for Data Analysis. It stores data from accelerator complex related devices. It is perfectly integrated into SWAN environment which is proposed as one of the NXCALS data access methods.
The presentation will focus on how SWAN helps our users to perform logging data...
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Riccardo De Maria (CERN)11/10/2019, 14:20
SWAN can be used to extract machine measurements, query machine settings and beam dynamics simulations out of the box thanks to the pytimber, pjlsa, cpymad packages installed in the LCG stack. We present the status of those packages and our wishes for the SWAN platform.
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Francesco Maria Velotti (CERN)11/10/2019, 14:40
The CERN SWAN service is being extensively used in the ABT group. In this presentation, the main use cases with some examples are reported. Also, some feature requests are highlighted which are believed that could improve our experience with this already very complete system.
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Michal Maciejewski (CERN)11/10/2019, 15:00
The Large Hadron Collider is a complex machine composed of many interconnected systems serving a broad scientific community. Although its performance has been a considerable achievement, there have been already several cases of hardware deterioration. An early detection of fault precursors reduces the fault severity and facilitates maintenance planning. To this end, LHC undergoes a rigorous...
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Vincent Alexander Croft (Nikhef National institute for subatomic physics (NL))11/10/2019, 15:20
High energy physics requires the massive data sets that it does because the quantum randomness of nature is baked into our results. Only with orders of magnitude more data than other disciplines do we achieve any results at all. All this data needs some rather advanced, novel and specific statistical tools.
The [statistical...
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Alajos Makovec (CERN)11/10/2019, 15:50
The SWAN web interface for Jupyter notebooks provides several advantages compared to the commonly used offline data analysis tools (Root, Matlab, Python etc.). A SWAN project is practically a directory in the user's CERNBox folder. It can contain input data (e.g. a radionuclide inventory in txt format), Jupyter notebooks with Python scripts for data analysis, step-to-step documentation using...
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Federica Murgia (Universita e INFN, Bologna (IT))11/10/2019, 16:05
A SWAN notebook was developed, which automatically generates input files for a tool of the STEAM framework (https:\cern.ch\steam) called LEDET, which is used to simulate electromagnetic and thermal transient in superconducting magnets. This program was used to simulate quench transients in more than 25 magnets for LHC, HL-LHC, FCC, and other project. In the coming years, it is expected to...
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Fabian Bernstein (CERN, Johann-Wolfgang-Goethe Univ. (DE)), Oliver Michael Keller (Universite de Geneve (CH))11/10/2019, 16:20
Services like SWAN offer exciting prospects in the realm of education. However, educational scenarios also pose additional requirements which we will discuss from a user’s perspective.
Firstly, we’ll report on the use of CoCalc (a similar service) with high school students on standard curricular physics topics and what can be derived from this.
Secondly, we’ll present an example where...
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Mr Georgios Kaklamanos (CERN)11/10/2019, 16:35
The LHC data are stored mainly on tape. When the experiments want to analyse a dataset, they issue a recall request, to move the data from tape to disk so that they are available for analysis.
The request propagates through a number of systems with a number of distinct events the process: user issues the request, the request is received by the tape system, the tape is mounted, etc.
In...
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Stefan Wunsch (KIT - Karlsruhe Institute of Technology (DE))11/10/2019, 16:55
The CERN Open Data portal provides access to a rapidly growing collection of data and software originating from the research at CERN. Included are as well documentation and examples, which makes the platform well suited for newcomers in the HEP community and the general public.
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This talk presents how SWAN currently integrates into this ecosystem and discusses additional requirements for...
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