Abstract
This document presents the result of recent developments within Ganga[1] project to support users from new communities outside of HEP. In particular I will examine the case of users from the Large Scale Survey Telescope (LSST) group looking to use resources provided by the UK based GridPP[2][3] DIRAC[4][5] instance. An example use case is work performed with users from the LSST Virtual Organisation (VO) to distribute the workflow used for galaxy shape identification analyses. This work highlighted some LSST specific challenges which could be well solved by common tools within the HEP community. As a result of this work the LSST community was able to take advantage of GridPP[2][3] resources to perform large computing tasks within the UK.
| Original language | English |
|---|---|
| Title of host publication | Journal of Physics: Conference Series |
| Subtitle of host publication | 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016; San Francisco Marriott Marquis Hotel San Francisco; United States; 10 October 2016 through 14 October 2016 |
| Place of Publication | Italy |
| Publisher | IOP Publishing |
| Number of pages | 5 |
| Volume | 898 |
| Edition | 5 |
| DOIs | |
| Publication status | Published - 23 Nov 2017 |
| Externally published | Yes |
| Event | International Conference on Computing in High Energy and Nuclear Physics, 2016 - San Francisco Marriott Marquis, San Francisco, United States of America Duration: 10 Oct 2016 → 14 Oct 2016 Conference number: 22nd https://chep2016.org/ |
Publication series
| Name | Journal of Physics: Conference Series |
|---|---|
| Publisher | IOP Publishing |
| Number | 5 |
| Volume | 898 |
| ISSN (Print) | 1742-6588 |
| ISSN (Electronic) | 1742-6596 |
Conference
| Conference | International Conference on Computing in High Energy and Nuclear Physics, 2016 |
|---|---|
| Abbreviated title | CHEP 2016 |
| Country/Territory | United States of America |
| City | San Francisco |
| Period | 10/10/16 → 14/10/16 |
| Other | The CHEP conferences address challenges in computing, networking and software for the world's leading data-intensive science experiments that currently analyze hundreds of petabytes of data using worldwide computing resources. |
| Internet address |
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