jbernhard

jbernhard

      integer nbin_t,bindim=1000
      real*8 minbin_t,maxbin_t,dxbin_t,x_axis_observable,t_histo(1:bindim),
     &       t_dnsgrd(1:bindim),t_errgrd(1:bindim)


      minbin_t=1
      maxbin_t=101
      nbin_t=50
      dxbin_t=(maxbin_t-minbin_t)/nbin_t

jbernhard

#
# ~/.ssh/config
#


# how to automate ssh logins
# this is my setup, obviously change your username and grads-XX
# I use
# ssh phy : for the main physics login server
# ssh ws  : my workstation, while on campus

jbernhard

#!/usr/bin/env python

import numpy as np
import matplotlib.pyplot as plt
from numpy.random import random
import itertools


colors = ('b', 'g', 'r')

jbernhard

(* Content-type: application/vnd.wolfram.mathematica *)

(*** Wolfram Notebook File ***)
(* http://www.wolfram.com/nb *)

(* CreatedBy='Mathematica 9.0' *)

(*CacheID: 234*)
(* Internal cache information:
NotebookFileLineBreakTest

jbernhard

globus-url-copy file:///home/jeb65/testfile gsiftp://osg-xsede.grid.iu.edu/home/jeb65/testfile-copied

jbernhard

#!/usr/bin/env python3

"""
Calculate v2{2} for an isotropic emission law (zero flow).  Will converge
to zero as the number of particles -> infinity.
"""

import itertools
import sys

jbernhard

def event_generator(phi_column_number, pT_column_number):
    """
    Lazily generate arrays of phi angles and pT for each event.
    
    Fastest way I can find to read a numerical text file in chunks,
    where the chunks are of non-uniform size and separated by markers in the text file.
    
    """
  
    event = []

jbernhard

<?xml version='1.0'?>
<!DOCTYPE fontconfig SYSTEM 'fonts.dtd'>

<fontconfig>

  <match target="font">
    <test name="family">
      <string>Inconsolatazi4</string>
    </test>
    <edit name="pixelsize" mode="assign">

jbernhard

#
# ~/.ssh/config
#


# share connections
Host *
  ControlMaster auto
  ControlPersist 5m
  ControlPath /tmp/ssh-%r@%h:%p