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Last modified by makuadm on 2026-01-07 06:21
From version 43.1
edited by makuadm
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 37.1
edited by sndueste
on 2023-09-29 11:13
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1 -FLASHUSER.Offline data analysis (DAQ).WebHome
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1 -XWiki.makuadm
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1 -Experimental data is recorded as HDF files[[~[link~]>>doc:FS-FLASH USER tmp.Data Acquisition and controls 1.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.
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.
2 2  
3 -{{info title="How to login JupyterHub"}}
4 -=== ===
3 +\\
5 5  
6 -{{view-file att--filename="tmp.mp4" height="150"/}}
7 -{{/info}}
5 +{{expand title="How to login JupyterHub"}}
8 8  
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8 +{{view-file att--filename="tmp.mp4" height="250"/}}
9 +{{/expand}}
10 +
11 +\\
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13 +\\
14 +
9 9  {{info}}
10 -=== There are different options that help you to work with the FLASH HDF5 data in Python ===
16 +=== There are different options that help you to work with the FLASH HDF5 data in Python ===
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"]]
18 +The currently developed option for large data sets: [[the FAB package>>url:https://hasfcpkg.desy.de/fab/fab.html||shape="rect"]] ... see below
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.Offline data analysis (DAQ).Collection of HDF5 sample data from different beamlines.WebHome]]
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"]]
16 16  {{/info}}
17 17  
23 +\\
18 18  
19 19  [[~[~[image:attach:image2023-9-29_11-1-37.png~]~]>>url:https://hasfcpkg.desy.de/fab/fab.html||shape="rect"]]
20 20  
27 +\\
28 +
21 21  {{expand title="older ideas ..."}}
22 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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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 -\\
38 +{{task reference="/Tasks/Task_18" status="InProgress"}}
39 +Short descriptions including Links:   → as Text\\
40 +
41 +(% class="task-list" %)
42 +(((
43 +
44 +
45 +{{task reference="/Tasks/Task_19" status="InProgress"}}
46 +GPFS
33 33  {{/task}}
48 +
49 +{{task reference="/Tasks/Task_40" status="InProgress"}}
50 +Access rights
51 +{{/task}}
52 +
53 +{{task reference="/Tasks/Task_41" status="InProgress"}}
54 +Gamma Portal
55 +{{/task}}
56 +
57 +{{task reference="/Tasks/Task_42" status="InProgress"}}
58 +Maxwell
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60 +
61 +{{task reference="/Tasks/Task_20" status="InProgress"}}
62 +JupyterHub
63 +{{/task}}
64 +
65 +{{task reference="/Tasks/Task_21" status="InProgress"}}
66 +conda ?
67 +{{/task}}
68 +
69 +{{task reference="/Tasks/Task_36" status="InProgress"}}
70 +explain install from channel instead of fixed environment, but can use environment file from example repository
71 +{{/task}}
34 34  )))
73 +{{/task}}
74 +)))
35 35  
76 +\\
36 36  
37 37  (% class="task-list" %)
38 38  (((
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54 54  {{/task}}
55 55  )))
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57 57  
58 58  (% class="task-list" %)
59 59  (((
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71 71  {{/task}}
72 72  )))
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74 74  
75 75  (% class="task-list" %)
76 76  (((
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88 88  {{/task}}
89 89  )))
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91 91  
92 92  (% class="task-list" %)
93 93  (((
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121 121  {{/task}}
122 122  )))
123 123  
168 +\\
124 124  
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125 125  
126 126  ----
127 127  
128 128  ==== under review ====
129 129  
176 +\\
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
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143 143  ## delete from: /home/$USER/.local/share/jupyter/kernels/
144 144  {{/code}}
145 145  
146 -{{code language="py" title="
147 -moved to repository?"}}
193 +\\
194 +
195 +{{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 ?
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189 189  # run.to_xarray(daq_map)
190 190  {{/code}}
191 191  
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194 194  {{/expand}}
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