Hutch: MFX,  Beam_energy: 9.8keV

Investigate the crosstalk with masks

ePixM Unit: RX0003

SoftHigh: CompTH_ePixM = 0;  Precharge_DAC_ePixM = 45
SoftLow:  CompTH_ePixM = 44; Precharge_DAC_ePixM = 45
Auto:       CompTH_ePixM = 24; Precharge_DAC_ePixM = 45

Mesurement Plan:

Beamtime ePixM Measurements Plan Sep_01_2024.xlsx

Run summary:

summary_of_measurements_Sep_1_2024_beamtime.xlsx


Git_Scripts_Introduction

Introduction and orientation Created by Philip Hart, last modified on Aug 30, 2024 

Sept1 beamtime analysis instructions Created by Nayak, Bhavna

Running analysis and plotting results in psana2 parallel scripts Created by Philip Hart, last modified by Defay, Xavier on Feb 09, 2024


Data analysis slides:

!!!Linearity Scans during beamtime_Bhavna.pptx

!!!20240901_beamtime_crosstalk_Kaz.pptx

!!!Introduction for RIXS to functionality and observed performance of the ePixM detector - share 2_Conny.pdf

!!!Initial testing of the ePixHR and bringing up the LCLS-II DAQ in ASC v2_Conny.pptx


Data analysis git update:

Nolan's instructions for analysts:
git fetch
git checkout beamtime_september_1_2024
and then to push any additional fixes you make:
git add -u //or 'git add <filename>' for individual files
git commit -m "fix..."
git push origin beamtime_september_1_2024
and to get fix someone else made:
// make sure you don't have important unsaved changes (can 'git stash' if u want to clear any current unimportant changes)
git pull origin beamtime_september_1_2024

 There is a more general page for understanding the basic suite analysis here: https://confluence.slac.stanford.edu/display/LCLSDET/Introduction+and+orientation

It points to Nolan's git documentation and a variety of other things, most relevantly a page for the coming beamtime that Bhavna is working on: https://confluence.slac.stanford.edu/display/LCLSDET/Sept1+beamtime+analysis+instructions



Setup_Photos:


Slack thread plots:

AMI display during the beamtiem. Crosstalk with different masks (Conny)



Data_result:

Gain map&Hiato


Photon cluster analysis: python cluster_photons.py -r 250 -e rixx1005922 -f /sdf/data/lcls/ds/rix/rixx1005922/results/lowFlux/SimpleClusters__c0_r248_n666.h5,/sdf/data/lcls/ds/rix/rixx1005922/results/lowFlux/SimpleClusters__c0_r250_n666.h5 -p /sdf/data/lcls/ds/rix/rixx1005922/results/lowFlux/test
cluster_photons.py Expand source


Photon cluster per pixel analysis: 

python cluster_photons_v2.py -r 150 -e rixx1005922 -f /sdf/data/lcls/ds/rix/rixx1005922/results/lowFlux/SimpleClusters__c0_r150_n1.h5 -p /sdf/data/lcls/ds/rix/rixx1005922/results/lowFlux/test/

Bad pixels in ASIC3

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