Changes for page DEMO - Working with FLASH data
Last modified by makuadm on 2026-01-07 06:21
From version 43.1
edited by makuadm
on 2026-01-06 20:39
on 2026-01-06 20:39
Change comment:
Task [xwiki:FLASHUSER.Offline data analysis (DAQ).DEMO - Working with FLASH data.Tasks.Task_18.WebHome] has been updated!
To version 33.1
edited by sndueste
on 2023-09-28 16:51
on 2023-09-28 16:51
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... ... @@ -1,26 +1,28 @@ 1 -Experimental data is recorded as HDF files[ [~[link~]>>doc:FS-FLASHUSER tmp.Data Acquisitionand controls 1.DAQ and controls overview.Offline data analysis (DAQ).TheFLASH HDF5 structure.WebHome]] on theGPFS file system[[~[link~]>>https://docs.desy.de/asap3/]].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 -{{info title="How to login JupyterHub"}} 4 -=== === 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] 5 5 6 -{{view-file att--filename="tmp.mp4" height="150"/}} 7 -{{/info}} 5 +\\ 8 8 9 -{{info}} 10 -=== There are different options that help you to work with the FLASH HDF5 data in Python === 7 +{{expand title="How to login JupyterHub"}} 11 11 12 -* The currently developed option for large data sets: [[the FAB package>>url:https://hasfcpkg.desy.de/fab/fab.html||shape="rect"]] ... see below 13 -* 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"]] 14 14 15 - (% class="Object" %)See also the collection of Demo data and sample scripts : [[doc:FS-FLASH USER tmp.Data Acquisition and controls 1.DAQ and controls overview.Offlinedata analysis (DAQ).Collectionof HDF5 sampledata fromdifferent beamlines.WebHome]]16 -{{/ info}}10 +{{view-file att--filename="tmp.mp4" height="250"/}} 11 +{{/expand}} 17 17 13 +\\ 18 18 19 - [[~[~[image:attach:image2023-9-29_11-1-37.png~]~]>>url:https://hasfcpkg.desy.de/fab/fab.html||shape="rect"]]15 +link to Repos and Fab 20 20 21 -{{expand title="older ideas ..."}} 22 -(% class="Object" %)(object oriented) [[https:~~/~~/gitlab.desy.de/christopher.passow/fdh-builder>>url:https://gitlab.desy.de/christopher.passow/fdh-builder.git||shape="rect"]] 17 +\\ 23 23 19 +\\ 20 + 21 +\\ 22 + 23 +{{expand}} 24 +\\ 25 + 24 24 ---- 25 25 26 26 === TODO === ... ... @@ -27,12 +27,45 @@ 27 27 28 28 (% class="task-list" %) 29 29 ((( 30 -{{task reference="/Tasks/Task_18" status="InProgress" completeDate="" createDate="2026-01-06" reporter=""}} 31 -Short descriptions including Links: → as Text 32 -\\ 32 +{{task reference="/Tasks/Task_18" status="InProgress"}} 33 +Short descriptions including Links: → as Text\\ 34 + 35 +(% class="task-list" %) 36 +((( 37 + 38 + 39 +{{task reference="/Tasks/Task_19" status="InProgress"}} 40 +GPFS 33 33 {{/task}} 42 + 43 +{{task reference="/Tasks/Task_40" status="InProgress"}} 44 +Access rights 45 +{{/task}} 46 + 47 +{{task reference="/Tasks/Task_41" status="InProgress"}} 48 +Gamma Portal 49 +{{/task}} 50 + 51 +{{task reference="/Tasks/Task_42" status="InProgress"}} 52 +Maxwell 53 +{{/task}} 54 + 55 +{{task reference="/Tasks/Task_20" status="InProgress"}} 56 +JupyterHub 57 +{{/task}} 58 + 59 +{{task reference="/Tasks/Task_21" status="InProgress"}} 60 +conda ? 61 +{{/task}} 62 + 63 +{{task reference="/Tasks/Task_36" status="InProgress"}} 64 +explain install from channel instead of fixed environment, but can use environment file from example repository 65 +{{/task}} 34 34 ))) 67 +{{/task}} 68 +))) 35 35 70 +\\ 36 36 37 37 (% class="task-list" %) 38 38 ((( ... ... @@ -54,6 +54,7 @@ 54 54 {{/task}} 55 55 ))) 56 56 92 +\\ 57 57 58 58 (% class="task-list" %) 59 59 ((( ... ... @@ -71,6 +71,7 @@ 71 71 {{/task}} 72 72 ))) 73 73 110 +\\ 74 74 75 75 (% class="task-list" %) 76 76 ((( ... ... @@ -88,6 +88,7 @@ 88 88 {{/task}} 89 89 ))) 90 90 128 +\\ 91 91 92 92 (% class="task-list" %) 93 93 ((( ... ... @@ -121,12 +121,15 @@ 121 121 {{/task}} 122 122 ))) 123 123 162 +\\ 124 124 164 +\\ 125 125 126 126 ---- 127 127 128 128 ==== under review ==== 129 129 170 +\\ 130 130 131 131 {{code language="bash"}} 132 132 conda create -n flashh5 python=3.10 # 3.10 not necessary, but would prefer 3.8 or higher ... ... @@ -143,8 +143,9 @@ 143 143 ## delete from: /home/$USER/.local/share/jupyter/kernels/ 144 144 {{/code}} 145 145 146 -{{code language="py" title=" 147 -moved to repository?"}} 187 +\\ 188 + 189 +{{code language="py" title="moved to repository?"}} 148 148 class RunDirectory: 149 149 150 150 def get_run_table(): # more or less information? RunComment | Number of Files | start & stop time ? ... ... @@ -189,6 +189,9 @@ 189 189 # run.to_xarray(daq_map) 190 190 {{/code}} 191 191 234 +\\ 192 192 193 - 236 +\\ 194 194 {{/expand}} 238 + 239 +\\
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