Changes for page DEMO - Working with FLASH data
Last modified by makuadm on 2026-01-07 06:21
From version 43.1
edited by makuadm
on 2026-01-06 20:39
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 20.1
edited by cpassow
on 2022-04-04 15:18
on 2022-04-04 15:18
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There is no comment for this version
Summary
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... ... @@ -1,1 +1,1 @@ 1 -DEMO - Working with FLASH data1 +DEMO - Documentation - Parent
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... ... @@ -1,1 +1,0 @@ 1 -FLASHUSER.Offline data analysis (DAQ).WebHome - Author
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... ... @@ -1,1 +1,1 @@ 1 -XWiki. makuadm1 +XWiki.cpassow - Content
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... ... @@ -1,133 +1,41 @@ 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 +(% style="list-style-type: square;" %) 2 +* Short descriptions including Links: → as Text\\ 3 +(% style="list-style-type: square;" %) 4 +** GPFS 5 +** JupyterHub 6 +** conda ? 2 2 3 -{{info title="How to login JupyterHub"}} 4 -=== === 8 +\\ 5 5 6 -{{view-file att--filename="tmp.mp4" height="150"/}} 7 -{{/info}} 10 +(% style="list-style-type: square;" %) 11 +* Links Repository 12 +(% style="list-style-type: square;" %) 13 +** including Method Description: Readme or Sphinx ? 8 8 9 -{{info}} 10 -=== There are different options that help you to work with the FLASH HDF5 data in Python === 15 +\\ 11 11 12 - *The currentlydeveloped option forlarge datasets: [[theFABpackage>>url:https://hasfcpkg.desy.de/fab/fab.html||shape="rect"]]... see below13 -* and forsmallerprojects:(% class="Object" %)[[https:~~/~~/gitlab.desy.de/christopher.passow/flash-daq-hdf>>url:https://gitlab.desy.de/christopher.passow/flash-daq-hdf||shape="rect"]]17 +(% style="list-style-type: square;" %) 18 +* Links to Binder 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]] 16 -{{/info}} 20 +\\ 17 17 22 +(% style="list-style-type: square;" %) 23 +* Screencast 18 18 19 - [[~[~[image:attach:image2023-9-29_11-1-37.png~]~]>>url:https://hasfcpkg.desy.de/fab/fab.html||shape="rect"]]25 +\\ 20 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"]] 27 +\\ 23 23 24 - ----29 +Questions: 25 25 26 -=== TODO === 31 +(% style="list-style-type: square;" %) 32 +* distribution\\ 33 +(% style="list-style-type: square;" %) 34 +** channel 35 +** enviroment → as example for binder 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 -))) 37 +\\ 35 35 36 - 37 -(% class="task-list" %) 38 -((( 39 -{{task reference="/Tasks/Task_22" status="InProgress"}} 40 -distribution 41 - 42 -(% class="task-list" %) 43 -((( 44 - 45 - 46 -{{task reference="/Tasks/Task_23" status="InProgress"}} 47 -channel (where to host?) 48 -{{/task}} 49 - 50 -{{task reference="/Tasks/Task_24" status="InProgress"}} 51 -environment file (repository with examples) 52 -{{/task}} 53 -))) 54 -{{/task}} 55 -))) 56 - 57 - 58 -(% class="task-list" %) 59 -((( 60 -{{task reference="/Tasks/Task_25" status="InProgress"}} 61 -Documentation 62 - 63 -(% class="task-list" %) 64 -((( 65 - 66 - 67 -{{task reference="/Tasks/Task_26" status="InProgress"}} 68 -here VS repository VS sphinx 69 -{{/task}} 70 -))) 71 -{{/task}} 72 -))) 73 - 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 ----- 127 - 128 -==== under review ==== 129 - 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 133 133 source activate flashh5 ... ... @@ -143,19 +143,19 @@ 143 143 ## delete from: /home/$USER/.local/share/jupyter/kernels/ 144 144 {{/code}} 145 145 146 -{{code language="py" title=" 147 -moved to repository?"}} 54 +\\ 55 + 56 +{{code language="py" title="moved to repository?"}} 148 148 class RunDirectory: 149 149 150 - def get_run_table(): # more or less information? RunComment | Number of Files | start & stop time ?59 + def get_run_table(): # more or less information? RunComment | Number of Files 151 151 ... 152 152 153 - def get_run(daq, run_number): # daq is not needed! 154 - 62 + def get_run(daq, run_number): # daq is not needed 155 155 ... 156 156 157 157 158 -class Run: # constructor optional without RunDirectory or use there self.path66 +class Run: 159 159 160 160 def get_files(): 161 161 ... ... ... @@ -168,6 +168,9 @@ 168 168 169 169 def get_stop_time(): # which? | better as attribute? 170 170 ... 79 + 80 +### for following methods to restrict number of files or separate method 81 +### e.g. create_df(files) 171 171 172 172 def to_df(daq_map): # to_df(daq_map, slice) slice=[0:4] -> throw Exception 173 173 ... ... ... @@ -184,11 +184,9 @@ 184 184 run.to_series(daq_adr or daq_map) # on channel only? 185 185 run.to_array(daq_adr) # on channel only? 186 186 187 -## interesting? 98 +## is this interesting? 188 188 # run.to_dask(daq_map) 189 189 # run.to_xarray(daq_map) 190 190 {{/code}} 191 191 192 - 193 - 194 -{{/expand}} 103 +\\
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