Changes for page DEMO - Working with FLASH data
Last modified by makuadm on 2026-01-07 06:21
From version 20.1
edited by cpassow
on 2022-04-04 15:18
on 2022-04-04 15:18
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To 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!
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... ... @@ -1,1 +1,1 @@ 1 -DEMO - Documentation1 +DEMO - Working with FLASH data - Parent
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... ... @@ -1,0 +1,1 @@ 1 +FLASHUSER.Offline data analysis (DAQ).WebHome - Author
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... ... @@ -1,1 +1,1 @@ 1 -XWiki. cpassow1 +XWiki.makuadm - Content
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... ... @@ -1,41 +1,133 @@ 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 ? 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. 7 7 8 -\\ 3 +{{info title="How to login JupyterHub"}} 4 +=== === 9 9 10 -(% style="list-style-type: square;" %) 11 -* Links Repository 12 -(% style="list-style-type: square;" %) 13 -** including Method Description: Readme or Sphinx ? 6 +{{view-file att--filename="tmp.mp4" height="150"/}} 7 +{{/info}} 14 14 15 -\\ 9 +{{info}} 10 +=== There are different options that help you to work with the FLASH HDF5 data in Python === 16 16 17 - (%style="list-style-type:square;"%)18 -* LinkstoBinder12 +* 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"]] 19 19 20 -\\ 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}} 21 21 22 -(% style="list-style-type: square;" %) 23 -* Screencast 24 24 25 - \\19 +[[~[~[image:attach:image2023-9-29_11-1-37.png~]~]>>url:https://hasfcpkg.desy.de/fab/fab.html||shape="rect"]] 26 26 27 -\\ 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"]] 28 28 29 - Questions:24 +---- 30 30 31 -(% style="list-style-type: square;" %) 32 -* distribution\\ 33 -(% style="list-style-type: square;" %) 34 -** channel 35 -** enviroment → as example for binder 26 +=== TODO === 36 36 37 -\\ 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 +))) 38 38 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 + 39 39 {{code language="bash"}} 40 40 conda create -n flashh5 python=3.10 # 3.10 not necessary, but would prefer 3.8 or higher 41 41 source activate flashh5 ... ... @@ -51,19 +51,19 @@ 51 51 ## delete from: /home/$USER/.local/share/jupyter/kernels/ 52 52 {{/code}} 53 53 54 -\\ 55 - 56 -{{code language="py" title="moved to repository?"}} 146 +{{code language="py" title=" 147 +moved to repository?"}} 57 57 class RunDirectory: 58 58 59 - def get_run_table(): # more or less information? RunComment | Number of Files 150 + def get_run_table(): # more or less information? RunComment | Number of Files | start & stop time ? 60 60 ... 61 61 62 - def get_run(daq, run_number): # daq is not needed 153 + def get_run(daq, run_number): # daq is not needed! 154 + 63 63 ... 64 64 65 65 66 -class Run: 158 +class Run: # constructor optional without RunDirectory or use there self.path 67 67 68 68 def get_files(): 69 69 ... ... ... @@ -76,9 +76,6 @@ 76 76 77 77 def get_stop_time(): # which? | better as attribute? 78 78 ... 79 - 80 -### for following methods to restrict number of files or separate method 81 -### e.g. create_df(files) 82 82 83 83 def to_df(daq_map): # to_df(daq_map, slice) slice=[0:4] -> throw Exception 84 84 ... ... ... @@ -95,9 +95,11 @@ 95 95 run.to_series(daq_adr or daq_map) # on channel only? 96 96 run.to_array(daq_adr) # on channel only? 97 97 98 -## i s this interesting?187 +## interesting? 99 99 # run.to_dask(daq_map) 100 100 # run.to_xarray(daq_map) 101 101 {{/code}} 102 102 103 -\\ 192 + 193 + 194 +{{/expand}}
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