read~vmeoffline~

we read asc data files from CAEN - created by gregory (or mc2). Create histograms, count zeroes etc...

Usage - brief version 2022

We try to update - with experiment 2021 12 03

./bin_readvme cut ~/09_DATA_ANALYSIS/20211203_54fe_nfs_ganil/Evaluation_1_fe40/run0055_211203_203227_1Fe40p3.asc 0 5 15

cuts channel 0 from 5sec to 15 sec

eva~cuttime~

• simple_read.eva_cut_time
  • calls general.readtable
  • calls general.select_channels
  • calls general.enhance_by_dtus...
  • call general.detect_zeroes for timewindow 4.2us

offers

Usage -brief version (OLD)

# convert asc to h5
read_vme_offline a2df run0022_20190719_070923.asc

# create spectra and table and ORG (text) file
read_vme_offline df2s run0014_20190718_165928.h5 --Emax 15200 -Ethres 5

# MASS CONVERT:
ls -1 *asc | xargs -n 1 -I III  read_vme_offline a2df III
ls -1 *h5 | xargs -n 1 -I III  read_vme_offline df2s  III  --Emax 15200 -Ethres 5

Installation

• you can use ./pipall.py to get all python modules needed
• since this is an exprerimental project, the recommended way to install is
  • pip3 install -e .
  • then you work on the code in local repo and run it globally in the same time
  • remove with pip3 uninstall project

Installation of ROOT

• we start the manual with 6.22:

• the file root_v6.22.06.Linux-ubuntu20-x86_64-gcc9.3.tar.gz

• create/unpack in in ~/root

• run source ~/root/bin/thisroot/sh

• go to ~/root/tutorials/pyroot and run python3 demo.py

• something works, but there is a lot of problems

Connecting together

• in the terminal, where source thisroot.sh was run try to call read_vme_offline
• install

dependent module's details

root~numpy~

See

• create and FILL HISTOGRAMS from numpy array
• an efficient interface between ROOT and NumPy
• At the core of root~numpy~ are powerful and flexible functions for converting ROOT TTrees into structured NumPy arrays
• converting NumPy arrays back into ROOT TTrees
• function for creating a random NumPy array by sampling a ROOT function or histogram:

from root_numpy import fill_hist
import numpy as np

# Fill a ROOT histogram from a NumPy array
hist = TH2D('name', 'title', 20, -3, 3, 20, -3, 3)
fill_hist(hist, np.random.randn(1000000, 2))
hist.Draw('LEGO2')

pylatex

library for creating and compiling LaTeX files or snippets

• dependencies maybe sudo apt-get install texlive-pictures texlive-science texlive-latex-extra latexmk

History

• jm entered 2020 05 26
• jm access 2021 02 19