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Last modified by makuadm on 2026-01-07 06:21
From version 40.1
edited by sndueste
on 2023-11-01 16:52
Change comment: There is no comment for this version
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 -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.
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 -\\
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11 -{{info}}
12 -=== There are different options that help you to work with the FLASH HDF5 data in Python ===
13 -
14 -* The currently developed option for large data sets: [[the FAB package>>url:https://hasfcpkg.desy.de/fab/fab.html||shape="rect"]] ... see below
15 -* 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 -
17 -(% class="Object" %)See also the collection of Demo data and sample scripts : [[doc:FLASHUSER.Data Acquisition and controls.Data Access at FLASH (DAQ, gpfs,\.\.\.).Offline data analysis (DAQ).Collection of HDF5 sample data from different beamlines.WebHome]]
18 -{{/info}}
19 -
20 -\\
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22 -[[~[~[image:attach:image2023-9-29_11-1-37.png~]~]>>url:https://hasfcpkg.desy.de/fab/fab.html||shape="rect"]]
23 -
24 -\\
25 -
26 -{{expand title="older ideas ..."}}
27 -(% class="Object" %)(object oriented) [[https:~~/~~/gitlab.desy.de/christopher.passow/fdh-builder>>url:https://gitlab.desy.de/christopher.passow/fdh-builder.git||shape="rect"]]
28 -
29 29  ----
30 30  
31 31  === TODO ===
32 32  
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34 -(((
35 -{{task reference="/Tasks/Task_18" status="InProgress"}}
36 -Short descriptions including Links:   → as Text\\
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8 +* Short descriptions including Links:   → as Text\\
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10 +** GPFS
11 +** JupyterHub
12 +** conda ?
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39 -(((
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41 -
42 -{{task reference="/Tasks/Task_19" status="InProgress"}}
43 -GPFS
44 -{{/task}}
45 -
46 -{{task reference="/Tasks/Task_40" status="InProgress"}}
47 -Access rights
48 -{{/task}}
49 -
50 -{{task reference="/Tasks/Task_41" status="InProgress"}}
51 -Gamma Portal
52 -{{/task}}
53 -
54 -{{task reference="/Tasks/Task_42" status="InProgress"}}
55 -Maxwell
56 -{{/task}}
57 -
58 -{{task reference="/Tasks/Task_20" status="InProgress"}}
59 -JupyterHub
60 -{{/task}}
61 -
62 -{{task reference="/Tasks/Task_21" status="InProgress"}}
63 -conda ?
64 -{{/task}}
65 -
66 -{{task reference="/Tasks/Task_36" status="InProgress"}}
67 -explain install from channel instead of fixed environment, but can use environment file from example repository
68 -{{/task}}
69 -)))
70 -{{/task}}
71 -)))
72 -
73 73  \\
74 74  
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76 -(((
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78 -distribution
16 +* distribution
17 +** channel  (where to host?)
18 +** environment file (repository with examples)
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81 -(((
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83 -
84 -{{task reference="/Tasks/Task_23" status="InProgress"}}
85 -channel  (where to host?)
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87 -
88 -{{task reference="/Tasks/Task_24" status="InProgress"}}
89 -environment file (repository with examples)
90 -{{/task}}
91 -)))
92 -{{/task}}
93 -)))
94 -
95 95  \\
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100 -Documentation
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23 +* Documentation
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25 +** here VS repository vs sphinx
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105 -
106 -{{task reference="/Tasks/Task_26" status="InProgress"}}
107 -here VS repository VS sphinx
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112 -
113 113  \\
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116 -(((
117 -{{task reference="/Tasks/Task_27" status="InProgress"}}
118 -Binder
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30 +* Binder
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32 +** examples with Stefan
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125 -examples with Stefan
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131 131  \\
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136 -Screencast
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37 +* Screencast
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39 +** login in jupyter hub
40 +** login maxwell display
41 +** use slix
42 +** use hdfview plugin in jupterLab
43 +** create conda env with flashh5
137 137  
138 -(% class="task-list" %)
139 -(((
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142 -{{task reference="/Tasks/Task_30" status="InProgress"}}
143 -login in jupyter hub
144 -{{/task}}
145 -
146 -{{task reference="/Tasks/Task_31" status="InProgress"}}
147 -login maxwell display
148 -{{/task}}
149 -
150 -{{task reference="/Tasks/Task_32" status="InProgress"}}
151 -use slix
152 -{{/task}}
153 -
154 -{{task reference="/Tasks/Task_33" status="InProgress"}}
155 -use hdfview plugin in jupterLab
156 -{{/task}}
157 -
158 -{{task reference="/Tasks/Task_34" status="InProgress"}}
159 -create conda env with flashh5
160 -{{/task}}
161 -)))
162 -{{/task}}
163 -)))
164 -
165 165  \\
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203 -class Run: # constructor optional without RunDirectory or use there self.path
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205 205   def get_files():
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235 235  {{/code}}
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