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Last modified by makuadm on 2026-01-07 06:21
From version 37.1
edited by sndueste
on 2023-09-29 11:13
Change comment: There is no comment for this version
To version 31.1
edited by sndueste
on 2022-10-27 11:19
Change comment: There is no comment for this version

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1 -Experimental data is recorded as HDF files[[~[link~]>>doc:FLASHUSER.Data Acquisition and controls.Data Access at FLASH (DAQ, gpfs,\.\.\.).Offline data analysis (DAQ).The FLASH HDF5 structure.WebHome]] on the GPFS file system[[~[link~]>>doc:ASAP3.ASAP3 Data Storage for PETRA III]]. The access rights are linked to the user's DESY account and can be managed by the PI via the GAMMA portal[[~[link~]>>url:https://gamma-portal.desy.de/||shape="rect"]]. The experimental data can be downloaded via the GAMMA portal, but it is advised to use the DESY computing infrastructure. Access point are via ssh, Maxwell-Display Server[[~[link~]>>url:https://confluence.desy.de/display/MXW/Maxwell+Cluster||shape="rect"]] or JuyterHub[[~[link~]>>url:https://confluence.desy.de/display/MXW/JupyterHub+on+Maxwell||shape="rect"]]. We recommend using the JupyterHub for data exploration and the SLURM resources for high performances computing - see FAB for easy usage of the infrastructure.
1 +Experimental data is recorded as HDF files[link] on the GPFS file system[link]. The access rights[link to ACLs] are linked to the user's DESY account and can be managed by the PI via the GAMMA portal[link]. The experimental data can be downloaded via the GAMMA portal, but it is advised to use the DESY computing infrastructure. Access point are via ssh[link], Maxwell-Display Server[link] or JuyterHub[link]. We recommmend using the JupyterHub for data exploration and the SLURM resources[link] for high performances computing.
2 2  
3 +For simplified acccess we provide a conda module flashh5[link] which can be installed in a personal conda environment[link] on the Maxwell Cluster. Example on the usage can be found here [link - repo + binder]
4 +
3 3  \\
4 4  
5 -{{expand title="How to login JupyterHub"}}
7 +{{expand title="TEST - How to login JupyterHub"}}
6 6  
7 7  
8 8  {{view-file att--filename="tmp.mp4" height="250"/}}
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12 12  
13 13  \\
14 14  
15 -{{info}}
16 -=== There are different options that help you to work with the FLASH HDF5 data in Python ===
17 -
18 -The currently developed option for large data sets: [[the FAB package>>url:https://hasfcpkg.desy.de/fab/fab.html||shape="rect"]] ... see below
19 -
20 -and for smaller projects:  (% class="Object" %)[[https:~~/~~/gitlab.desy.de/christopher.passow/flash-daq-hdf>>url:https://gitlab.desy.de/christopher.passow/flash-daq-hdf||shape="rect"]]
21 -{{/info}}
22 -
23 -\\
24 -
25 -[[~[~[image:attach:image2023-9-29_11-1-37.png~]~]>>url:https://hasfcpkg.desy.de/fab/fab.html||shape="rect"]]
26 -
27 -\\
28 -
29 -{{expand title="older ideas ..."}}
30 -(% class="Object" %)(object oriented) [[https:~~/~~/gitlab.desy.de/christopher.passow/fdh-builder>>url:https://gitlab.desy.de/christopher.passow/fdh-builder.git||shape="rect"]]
31 -
32 32  ----
33 33  
34 34  === TODO ===
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58 58  Maxwell
59 59  {{/task}}
60 60  
61 -{{task reference="/Tasks/Task_20" status="InProgress"}}
46 +{{task reference="/Tasks/Task_20" status="Done"}}
62 62  JupyterHub
63 63  {{/task}}
64 64  
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240 240  \\
241 241  
242 242  \\
243 -{{/expand}}