Changes for page DEMO - Working with FLASH data
Last modified by makuadm on 2026-01-07 06:21
From version 49.1
edited by makuadm
on 2026-01-07 01:26
on 2026-01-07 01:26
Change comment:
Task [xwiki:FLASHUSER.Offline data analysis (DAQ).DEMO - Working with FLASH data.Tasks.Task_27.WebHome] has been updated!
To version 37.1
edited by sndueste
on 2023-09-29 11:13
on 2023-09-29 11:13
Change comment:
There is no comment for this version
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... ... @@ -1,23 +1,31 @@ 1 -Experimental data is recorded as HDF files[[~[link~]>>doc:F S-FLASHUSERtmp.Data Acquisition and controls1.DAQandcontrolsoverview.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 +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. 2 2 3 -{{info title="How to login JupyterHub"}} 4 -=== === 3 +\\ 5 5 6 -{{view-file att--filename="tmp.mp4" height="150"/}} 7 -{{/info}} 5 +{{expand title="How to login JupyterHub"}} 8 8 7 + 8 +{{view-file att--filename="tmp.mp4" height="250"/}} 9 +{{/expand}} 10 + 11 +\\ 12 + 13 +\\ 14 + 9 9 {{info}} 10 -=== There are different options that help you to work with the FLASH HDF5 data in Python === 16 +=== There are different options that help you to work with the FLASH HDF5 data in Python === 11 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"]] 18 +The currently developed option for large data sets: [[the FAB package>>url:https://hasfcpkg.desy.de/fab/fab.html||shape="rect"]] ... see below 14 14 15 -(% class="Object" %) See also the collection of Demo dataandsamplescripts: [[doc:FS-FLASH USERtmp.DataAcquisitionandcontrols1.DAQ andcontrolsoverview.Offline data analysis(DAQ).Collection ofHDF5 sampledata fromdifferentbeamlines.WebHome]]20 +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 16 {{/info}} 17 17 23 +\\ 18 18 19 19 [[~[~[image:attach:image2023-9-29_11-1-37.png~]~]>>url:https://hasfcpkg.desy.de/fab/fab.html||shape="rect"]] 20 20 27 +\\ 28 + 21 21 {{expand title="older ideas ..."}} 22 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 23 ... ... @@ -27,12 +27,45 @@ 27 27 28 28 (% class="task-list" %) 29 29 ((( 30 -{{task reference="/Tasks/Task_18" status="InProgress" completeDate="" createDate="2026-01-06" reporter=""}} 31 -Short descriptions including Links: → as Text 32 -\\ 38 +{{task reference="/Tasks/Task_18" status="InProgress"}} 39 +Short descriptions including Links: → as Text\\ 40 + 41 +(% class="task-list" %) 42 +((( 43 + 44 + 45 +{{task reference="/Tasks/Task_19" status="InProgress"}} 46 +GPFS 33 33 {{/task}} 48 + 49 +{{task reference="/Tasks/Task_40" status="InProgress"}} 50 +Access rights 51 +{{/task}} 52 + 53 +{{task reference="/Tasks/Task_41" status="InProgress"}} 54 +Gamma Portal 55 +{{/task}} 56 + 57 +{{task reference="/Tasks/Task_42" status="InProgress"}} 58 +Maxwell 59 +{{/task}} 60 + 61 +{{task reference="/Tasks/Task_20" status="InProgress"}} 62 +JupyterHub 63 +{{/task}} 64 + 65 +{{task reference="/Tasks/Task_21" status="InProgress"}} 66 +conda ? 67 +{{/task}} 68 + 69 +{{task reference="/Tasks/Task_36" status="InProgress"}} 70 +explain install from channel instead of fixed environment, but can use environment file from example repository 71 +{{/task}} 34 34 ))) 73 +{{/task}} 74 +))) 35 35 76 +\\ 36 36 37 37 (% class="task-list" %) 38 38 ((( ... ... @@ -43,7 +43,7 @@ 43 43 ((( 44 44 45 45 46 -{{task reference="/Tasks/Task_23" status="InProgress" completeDate="" createDate="2026-01-06" reporter=""}}87 +{{task reference="/Tasks/Task_23" status="InProgress"}} 47 47 channel (where to host?) 48 48 {{/task}} 49 49 ... ... @@ -54,6 +54,7 @@ 54 54 {{/task}} 55 55 ))) 56 56 98 +\\ 57 57 58 58 (% class="task-list" %) 59 59 ((( ... ... @@ -71,30 +71,67 @@ 71 71 {{/task}} 72 72 ))) 73 73 116 +\\ 74 74 75 75 (% class="task-list" %) 76 76 ((( 77 -{{task reference="/Tasks/Task_27" status="InProgress" completeDate="" createDate="2026-01-07" reporter=""}}120 +{{task reference="/Tasks/Task_27" status="InProgress"}} 78 78 Binder 79 -\\ 122 + 123 +(% class="task-list" %) 124 +((( 125 + 126 + 127 +{{task reference="/Tasks/Task_28" status="InProgress"}} 128 +examples with Stefan 80 80 {{/task}} 81 81 ))) 131 +{{/task}} 132 +))) 82 82 134 +\\ 83 83 84 84 (% class="task-list" %) 85 85 ((( 86 -{{task reference="/Tasks/Task_29" status="InProgress" completeDate="" createDate="2026-01-07" reporter=""}}138 +{{task reference="/Tasks/Task_29" status="InProgress"}} 87 87 Screencast 88 -\\ 140 + 141 +(% class="task-list" %) 142 +((( 143 + 144 + 145 +{{task reference="/Tasks/Task_30" status="InProgress"}} 146 +login in jupyter hub 89 89 {{/task}} 148 + 149 +{{task reference="/Tasks/Task_31" status="InProgress"}} 150 +login maxwell display 151 +{{/task}} 152 + 153 +{{task reference="/Tasks/Task_32" status="InProgress"}} 154 +use slix 155 +{{/task}} 156 + 157 +{{task reference="/Tasks/Task_33" status="InProgress"}} 158 +use hdfview plugin in jupterLab 159 +{{/task}} 160 + 161 +{{task reference="/Tasks/Task_34" status="InProgress"}} 162 +create conda env with flashh5 163 +{{/task}} 90 90 ))) 165 +{{/task}} 166 +))) 91 91 168 +\\ 92 92 170 +\\ 93 93 94 94 ---- 95 95 96 96 ==== under review ==== 97 97 176 +\\ 98 98 99 99 {{code language="bash"}} 100 100 conda create -n flashh5 python=3.10 # 3.10 not necessary, but would prefer 3.8 or higher ... ... @@ -111,8 +111,9 @@ 111 111 ## delete from: /home/$USER/.local/share/jupyter/kernels/ 112 112 {{/code}} 113 113 114 -{{code language="py" title=" 115 -moved to repository?"}} 193 +\\ 194 + 195 +{{code language="py" title="moved to repository?"}} 116 116 class RunDirectory: 117 117 118 118 def get_run_table(): # more or less information? RunComment | Number of Files | start & stop time ? ... ... @@ -157,6 +157,7 @@ 157 157 # run.to_xarray(daq_map) 158 158 {{/code}} 159 159 240 +\\ 160 160 161 - 242 +\\ 162 162 {{/expand}}
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