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 21.1
edited by cpassow
on 2022-04-05 14:40
Change comment: There is no comment for this version

Summary

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1 -DEMO - Working with FLASH data
1 +DEMO - Documentation
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1 -FLASHUSER.Offline data analysis (DAQ).WebHome
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1 -XWiki.makuadm
1 +XWiki.cpassow
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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 +test
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 -
24 24  ----
25 25  
26 26  === TODO ===
27 27  
28 -(% class="task-list" %)
29 -(((
30 -{{task reference="/Tasks/Task_18" status="InProgress" completeDate="" createDate="2026-01-06" reporter=""}}
31 -Short descriptions including Links:   → as Text
32 -\\
33 -{{/task}}
34 -)))
7 +(% style="list-style-type: square;" %)
8 +* Short descriptions including Links:   → as Text\\
9 +(% style="list-style-type: square;" %)
10 +** GPFS
11 +** JupyterHub
12 +** conda ?
35 35  
14 +\\
36 36  
37 -(% class="task-list" %)
38 -(((
39 -{{task reference="/Tasks/Task_22" status="InProgress"}}
40 -distribution
16 +* distribution
17 +** channel  (where to host?)
18 +** environment file (repository with examples)
41 41  
42 -(% class="task-list" %)
43 -(((
44 -
20 +\\
45 45  
46 -{{task reference="/Tasks/Task_23" status="InProgress"}}
47 -channel  (where to host?)
48 -{{/task}}
22 +(% style="list-style-type: square;" %)
23 +* Documentation
24 +(% style="list-style-type: square;" %)
25 +** here VS repository vs sphinx
49 49  
50 -{{task reference="/Tasks/Task_24" status="InProgress"}}
51 -environment file (repository with examples)
52 -{{/task}}
53 -)))
54 -{{/task}}
55 -)))
27 +\\
56 56  
29 +(% style="list-style-type: square;" %)
30 +* Binder
31 +(% style="list-style-type: square;" %)
32 +** examples with Stefan
57 57  
58 -(% class="task-list" %)
59 -(((
60 -{{task reference="/Tasks/Task_25" status="InProgress"}}
61 -Documentation
34 +\\
62 62  
63 -(% class="task-list" %)
64 -(((
65 -
36 +(% style="list-style-type: square;" %)
37 +* Screencast
38 +(% style="list-style-type: square;" %)
39 +** login in jupyter hub
40 +** login maxwell display
41 +** use slix
42 +** use hdfview plugin in jupterLab
43 +** create conda env with flashh5
66 66  
67 -{{task reference="/Tasks/Task_26" status="InProgress"}}
68 -here VS repository VS sphinx
69 -{{/task}}
70 -)))
71 -{{/task}}
72 -)))
45 +\\
73 73  
47 +\\
74 74  
75 -(% class="task-list" %)
76 -(((
77 -{{task reference="/Tasks/Task_27" status="InProgress"}}
78 -Binder
79 -
80 -(% class="task-list" %)
81 -(((
82 -
83 -
84 -{{task reference="/Tasks/Task_28" status="InProgress"}}
85 -examples with Stefan
86 -{{/task}}
87 -)))
88 -{{/task}}
89 -)))
90 -
91 -
92 -(% class="task-list" %)
93 -(((
94 -{{task reference="/Tasks/Task_29" status="InProgress"}}
95 -Screencast
96 -
97 -(% class="task-list" %)
98 -(((
99 -
100 -
101 -{{task reference="/Tasks/Task_30" status="InProgress"}}
102 -login in jupyter hub
103 -{{/task}}
104 -
105 -{{task reference="/Tasks/Task_31" status="InProgress"}}
106 -login maxwell display
107 -{{/task}}
108 -
109 -{{task reference="/Tasks/Task_32" status="InProgress"}}
110 -use slix
111 -{{/task}}
112 -
113 -{{task reference="/Tasks/Task_33" status="InProgress"}}
114 -use hdfview plugin in jupterLab
115 -{{/task}}
116 -
117 -{{task reference="/Tasks/Task_34" status="InProgress"}}
118 -create conda env with flashh5
119 -{{/task}}
120 -)))
121 -{{/task}}
122 -)))
123 -
124 -
125 -
126 126  ----
127 127  
128 128  ==== under review ====
129 129  
53 +\\
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?"}}
70 +\\
71 +
72 +{{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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155 155   ...
156 156  
157 157  
158 -class Run: # constructor optional without RunDirectory or use there self.path
83 +class Run:
159 159  
160 160   def get_files():
161 161   ...
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189 189  # run.to_xarray(daq_map)
190 190  {{/code}}
191 191  
192 -
193 -
194 -{{/expand}}
117 +\\
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