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Last modified by makuadm on 2026-01-07 06:21
From version 22.1
edited by cpassow
on 2022-04-05 14:42
Change comment: There is no comment for this version
To version 45.1
edited by makuadm
on 2026-01-06 21:19
Change comment: Task [xwiki:FLASHUSER.Offline data analysis (DAQ).DEMO - Working with FLASH data.Tasks.Task_34.WebHome] has been updated!

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1 +FLASHUSER.Offline data analysis (DAQ).WebHome
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1 -XWiki.cpassow
1 +XWiki.makuadm
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1 -test
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.
2 2  
3 +{{info title="How to login JupyterHub"}}
4 +=== ===
5 +
6 +{{view-file att--filename="tmp.mp4" height="150"/}}
7 +{{/info}}
8 +
9 +{{info}}
10 +=== There are different options that help you to work with the FLASH HDF5 data in Python ===
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 +
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]]
16 +{{/info}}
17 +
18 +
19 +[[~[~[image:attach:image2023-9-29_11-1-37.png~]~]>>url:https://hasfcpkg.desy.de/fab/fab.html||shape="rect"]]
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"]]
23 +
3 3  ----
4 4  
5 5  === TODO ===
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6 6  
7 7  (% class="task-list" %)
8 8  (((
9 -{{task reference="/Tasks/Task_18" status="InProgress"}}
10 -Short descriptions including Links:   → as Text\\
11 -
12 -(% class="task-list" %)
13 -(((
14 -
15 -
16 -{{task reference="/Tasks/Task_19" status="InProgress"}}
17 -GPFS
30 +{{task reference="/Tasks/Task_18" status="InProgress" completeDate="" createDate="2026-01-06" reporter=""}}
31 +Short descriptions including Links:   → as Text
32 +\\
18 18  {{/task}}
19 -
20 -{{task reference="/Tasks/Task_20" status="InProgress"}}
21 -JupyterHub
22 -{{/task}}
23 -
24 -{{task reference="/Tasks/Task_21" status="InProgress"}}
25 -conda ?
26 -{{/task}}
27 27  )))
28 -{{/task}}
29 -)))
30 30  
31 -\\
32 32  
33 33  (% class="task-list" %)
34 34  (((
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50 50  {{/task}}
51 51  )))
52 52  
53 -\\
54 54  
55 55  (% class="task-list" %)
56 56  (((
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68 68  {{/task}}
69 69  )))
70 70  
71 -\\
72 72  
73 73  (% class="task-list" %)
74 74  (((
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86 86  {{/task}}
87 87  )))
88 88  
89 -\\
90 90  
91 91  (% class="task-list" %)
92 92  (((
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109 109  use slix
110 110  {{/task}}
111 111  
112 -{{task reference="/Tasks/Task_33" status="InProgress"}}
113 +{{task reference="/Tasks/Task_33" status="InProgress" completeDate="" createDate="2026-01-06" reporter=""}}
113 113  use hdfview plugin in jupterLab
114 114  {{/task}}
115 115  
116 -{{task reference="/Tasks/Task_34" status="InProgress"}}
117 +{{task reference="/Tasks/Task_34" status="InProgress" completeDate="" createDate="2026-01-06" reporter=""}}
117 117  create conda env with flashh5
118 118  {{/task}}
119 119  )))
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120 120  {{/task}}
121 121  )))
122 122  
123 -\\
124 124  
125 -\\
126 126  
127 127  ----
128 128  
129 129  ==== under review ====
130 130  
131 -\\
132 132  
133 133  {{code language="bash"}}
134 134  conda create -n flashh5 python=3.10 # 3.10 not necessary, but would prefer 3.8 or higher
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145 145  ## delete from: /home/$USER/.local/share/jupyter/kernels/
146 146  {{/code}}
147 147  
148 -\\
149 -
150 -{{code language="py" title="moved to repository?"}}
146 +{{code language="py" title="
147 +moved to repository?"}}
151 151  class RunDirectory:
152 152  
153 153   def get_run_table(): # more or less information? RunComment | Number of Files | start & stop time ?
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158 158   ...
159 159  
160 160  
161 -class Run:
158 +class Run: # constructor optional without RunDirectory or use there self.path
162 162  
163 163   def get_files():
164 164   ...
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192 192  # run.to_xarray(daq_map)
193 193  {{/code}}
194 194  
195 -\\
192 +
193 +
194 +{{/expand}}
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