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Last modified by makuadm on 2026-01-07 06:21
From version 33.1
edited by sndueste
on 2023-09-28 16:51
Change comment: There is no comment for this version
To version 42.2
edited by rangeadm
on 2025-02-13 08:01
Change comment: Update document after refactoring.

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1 +FS-FLASH USER tmp.Data Acquisition and controls.DAQ and controls overview.Offline data analysis (DAQ).WebHome
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1 -XWiki.sndueste
1 +XWiki.rangeadm
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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.
1 +Experimental data is recorded as HDF files[[~[link~]>>doc:FLASHUSER.Data Acquisition and controls.DAQ and controls overview.Offline data analysis (DAQ).The FLASH HDF5 structure.WebHome]] on the GPFS 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.
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]
3 +{{info title="How to login JupyterHub"}}
4 +=== ===
4 4  
5 -\\
6 +{{view-file att--filename="tmp.mp4" height="150"/}}
7 +{{/info}}
6 6  
7 -{{expand title="How to login JupyterHub"}}
9 +{{info}}
10 +=== There are different options that help you to work with the FLASH HDF5 data in Python ===
8 8  
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"]]
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10 -{{view-file att--filename="tmp.mp4" height="250"/}}
11 -{{/expand}}
15 +(% class="Object" %)See also the collection of Demo data and sample scripts : [[doc:FLASHUSER.Data Acquisition and controls.DAQ and controls overview.Offline data analysis (DAQ).Collection of HDF5 sample data from different beamlines.WebHome]]
16 +{{/info}}
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13 -\\
14 14  
15 -link to Repos and Fab
19 +[[~[~[image:attach:image2023-9-29_11-1-37.png~]~]>>url:https://hasfcpkg.desy.de/fab/fab.html||shape="rect"]]
16 16  
17 -\\
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"]]
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19 -\\
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22 -
23 -{{expand}}
24 -\\
25 -
26 26  ----
27 27  
28 28  === TODO ===
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30 30  (% class="task-list" %)
31 31  (((
32 32  {{task reference="/Tasks/Task_18" status="InProgress"}}
33 -Short descriptions including Links:   → as Text\\
31 +Short descriptions including Links:   → as Text
34 34  
35 35  (% class="task-list" %)
36 36  (((
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67 67  {{/task}}
68 68  )))
69 69  
70 -\\
71 71  
72 72  (% class="task-list" %)
73 73  (((
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89 89  {{/task}}
90 90  )))
91 91  
92 -\\
93 93  
94 94  (% class="task-list" %)
95 95  (((
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107 107  {{/task}}
108 108  )))
109 109  
110 -\\
111 111  
112 112  (% class="task-list" %)
113 113  (((
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125 125  {{/task}}
126 126  )))
127 127  
128 -\\
129 129  
130 130  (% class="task-list" %)
131 131  (((
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159 159  {{/task}}
160 160  )))
161 161  
162 -\\
163 163  
164 -\\
165 165  
166 166  ----
167 167  
168 168  ==== under review ====
169 169  
170 -\\
171 171  
172 172  {{code language="bash"}}
173 173  conda create -n flashh5 python=3.10 # 3.10 not necessary, but would prefer 3.8 or higher
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184 184  ## delete from: /home/$USER/.local/share/jupyter/kernels/
185 185  {{/code}}
186 186  
187 -\\
188 -
189 -{{code language="py" title="moved to repository?"}}
178 +{{code language="py" title="
179 +moved to repository?"}}
190 190  class RunDirectory:
191 191  
192 192   def get_run_table(): # more or less information? RunComment | Number of Files | start & stop time ?
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231 231  # run.to_xarray(daq_map)
232 232  {{/code}}
233 233  
234 -\\
235 235  
236 -\\
225 +
237 237  {{/expand}}
238 -
239 -\\
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