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@kratsg
kratsg / forJerry.ipynb
Created April 26, 2022 21:56
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@kratsg
kratsg / negative_yield3.py
Created April 5, 2022 21:08
import pyhf
import numpy as np
spec = {
"channels": [
{
"name": "ch",
"samples": [
{
"data": [100.0,100.0],
@kratsg
kratsg / PlotTGraphAsymmErrorsBinShift.ipynb
Created March 25, 2022 20:04
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kratsg / modifier_grid.py
Created March 1, 2022 15:10
from collections import defaultdict
import json
import pathlib
import sys
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
import pyhf
from pyhf.contrib.utils import download
@kratsg
kratsg / gist:68e27a5cf3507298b4ca1047bd8a0c34
Created February 25, 2022 14:43
Summary
------------------
channels 50
samples 3
parameters 174
modifiers 174
channels nbins
---------- -----
CRVV_MLL_hghmet_cuts 1
@kratsg
kratsg / xander.py
Created February 11, 2022 20:08
def make_dummy_event():
coords=[]
for i_eta in range(0,4):
coords.append([])
for i_phi in range(0,4):
coords[i_eta].append((i_eta,i_phi,0))
return coords
@kratsg
kratsg / .bashrc
Last active December 14, 2021 20:25
Instructions for migrating from cuda10.x/cudnn8.0.x to cuda11.2/cudnn8.2
# CUDA
export CUDA_VERSION="11.2"
export CUDA_HOME="/usr/local/cuda-${CUDA_VERSION}"
export LD_LIBRARY_PATH="/usr/local/cuda-${CUDA_VERSION}/include:/usr/local/cuda-${CUDA_VERSION}/lib64:$LD_LIBRARY_PATH"
export PATH="/usr/local/cuda-${CUDA_VERSION}/bin:$PATH"
export XLA_FLAGS=--xla_gpu_cuda_data_dir=${CUDA_HOME}
@kratsg
kratsg / 130noht16.json
Created December 2, 2021 22:19
{"channels": [{"name": "channel_16", "samples": [{"name": "signal_16", "data": [1.849763110111948, 24.26908544490349, 46.60821935768439, 21.782658172059865, 13.184121362366241, 1.177164316285278, 36.50494855566237, 66.33316709338501, 44.689030631541975, 14.83557074675295, 9.730289028555408, 5.763029776175476, 1.9133947084432548, 25.92362450719514, 16.210703011457493, 13.624598257176098, 5.317980396467731, 7.074523065479319, 4.923709821136957, 6.976264223435254, 3.9887994154533195, 3.770084093834412, 2.004375117663123, 1.6574225351718939, 1.2340554709418696, 3.6152946429007358, 3.5560372406476146, 1.9386264780136828], "modifiers": [{"name": "mu", "type": "normfactor", "data": null}, {"name": "lumi", "type": "lumi", "data": null}, {"name": "weight_btag_FT_EFF_B_systematics__1", "type": "histosys", "data": {"lo_data": [1.6856801608408862, 22.63520093730531, 44.01075078697938, 20.710848965108756, 12.537157732408732, 1.1108430596350354, 34.108877107415196, 62.55480570948989, 42.36303167063709, 14.125343254303726,
@kratsg
kratsg / HiFa.json
Created December 1, 2021 00:15
{
"channels": [
{
"name": "CR_Gtt_1L_M2_cuts",
"samples": [
{
"data": [
785.9898681640625
],
"modifiers": [
@kratsg
kratsg / get_published_likelihoods.py
Created November 9, 2021 16:57
from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from chromedriver_py import binary_path
service = Service(binary_path)
url = 'https://twiki.cern.ch/twiki/bin/view/AtlasPublic'
with webdriver.Chrome(service=service) as driver:
driver.get(url)
driver.execute_script("addKeyword('Analysischaracteristics_Likelihood@available');")