def test_read_abstract(self):
"""Test read_abstract function."""
some_string = string.ascii_lowercase
testfile = "testfile.txt"
self.addCleanup(os.remove, testfile)
with open(testfile, "w") as f:
f.write(some_string)
test_submission = Submission()
test_submission.read_abstract(testfile)
self.assertEqual(test_submission.comment, some_string)
self.doCleanups()
#!/usr/bin/python
from __future__ import print_function
from hepdata_lib import Variable, Uncertainty
from hepdata_lib import Uncertainty
import hepdata_lib
from hepdata_lib import Submission
import numpy as np
submission = Submission()
lumi_sf = 1.0 / 35800.0
submission.read_abstract("hepdata_lib/examples/example_inputs/abstract.txt")
submission.add_link(
"Webpage with all figures and tables",
"https://cms-results.web.cern.ch/cms-results/public-results/publications/B2G-16-029/"
)
submission.add_link("arXiv", "http://arxiv.org/abs/arXiv:1802.09407")
submission.add_record_id(1657397, "inspire")
### Table
from hepdata_lib import Table
from hepdata_lib import Variable
from hepdata_lib import RootFileReader
### Begin covariance mumu dressed
# Create a reader for the input file
reader_covariance_mm_Pt = RootFileReader(
"HEPData/inputs/smp17010/folders_dressedleptons/output_root/matrix03__XSRatioSystPt.root"
from __future__ import print_function
import os
import numpy as np
from hepdata_lib import Submission, Table, Variable, Uncertainty
#INITIALIZE
submission = Submission()
#ABSTRACT
submission.read_abstract("input/abstract.txt")
submission.add_link(
"Webpage with all figures and tables",
"https://cms-results.web.cern.ch/cms-results/public-results/publications/SMP-19-013/"
)
submission.add_link("arXiv", "http://arxiv.org/abs/arXiv:2105.12780")
submission.add_record_id(1865855, "inspire")
#FIGURE 2 UPPER LEFT
fig2_ul = Table("Figure 2 (upper left)")
fig2_ul.description = "Distribution of the transverse momentum of the diphoton system for the $\mathrm{W}\gamma\gamma$ electron channel. The predicted yields are shown with their pre-fit normalisations. The observed data, the expected signal contribution and the background estimates are presented with error bars showing the corresponding statistical uncertainties."
fig2_ul.location = "Data from Figure 2 on Page 6 of the preprint"
fig2_ul.keywords["observables"] = ["Diphoton pT"]
fig2_ul.keywords["reactions"] = [
"P P --> W GAMMA GAMMA --> ELECTRON NU GAMMA GAMMA"
]
fig2_ul_in = np.loadtxt("input/fig2_ul.txt", skiprows=1)
#diphoton pT
fig2_ul_pt = Variable("$p_T^{\gamma\gamma}$",
is_independent=True,
from hepdata_lib import Uncertainty
from hepdata_lib import RootFileReader
import hepdata_lib
from hepdata_lib import Submission
from hepdata_lib import Table
from hepdata_lib import Variable
import numpy as np
submission = Submission()
sig_digits = 3
submission.read_abstract("HEPData/inputs/hig20017/abstract.txt")
submission.add_link(
"Webpage with all figures and tables",
"http://cms-results.web.cern.ch/cms-results/public-results/publications/HIG-20-017/index.html"
)
#submission.add_link("arXiv", "http://arxiv.org/abs/arXiv:xxxx.xxxxx")
#submission.add_record_id(1818160, "inspire")
### Begin Table 2
table2 = Table("Table 2")
table2.description = "Summary of the impact of the systematic uncertainties on the extracted signal strength; for the case of a background-only simulated data set, i.e., assuming no contributions from the $\mathrm{H}^{\pm}$ and $\mathrm{H}^{\pm\pm}$ processes, and including a charged Higgs boson signal for values of $s_{\mathrm{H}}=1.0$ and $m_{\mathrm{H}_{5}}=500$ GeV in the GM model."
table2.location = "Data from Table 2"
table2.keywords["observables"] = ["Uncertainty"]
table2.keywords["reactions"] = ["P P --> W W j j", "P P --> W Z j j"]
table2.keywords["phrases"] = [
from __future__ import print_function
from hepdata_lib import Variable, Uncertainty
from hepdata_lib import Uncertainty
from hepdata_lib import RootFileReader
import hepdata_lib
from hepdata_lib import Submission
from hepdata_lib import Table
from hepdata_lib import Variable
import numpy as np
submission = Submission()
submission.read_abstract("HEPData/inputs/smp18003/abstract.txt")
submission.add_link(
"Webpage with all figures and tables",
"https://cms-results.web.cern.ch/cms-results/public-results/publications/SMP-18-003/"
)
submission.add_link("arXiv", "https://arxiv.org/abs/2012.09254")
submission.add_record_id(999999999, "inspire")
### Begin Figure 2
figure2 = Table("Figure 2")
figure2.description = "The measured and predicted inclusive fiducial cross sections in fb. The experimental measurement includes both statistical and systematics uncertainties. The theoretical prediction includes both the QCD scale and PDF uncertainties."
figure2.location = "Data from Figure 2"
figure2.keywords["observables"] = ["SIG"]
figure2.keywords["phrases"] = [
"Electroweak", "Cross Section", "Proton-Proton", "Z boson production"
from __future__ import print_function
from hepdata_lib import Variable, Uncertainty
from hepdata_lib import Uncertainty
from hepdata_lib import RootFileReader
import hepdata_lib
from hepdata_lib import Submission
from hepdata_lib import Table
from hepdata_lib import Variable
import numpy as np
submission = Submission()
submission.read_abstract("HEPData/inputs/smp20006/abstract.txt")
submission.add_link("Webpage with all figures and tables", "http://cms-results.web.cern.ch/cms-results/public-results/publications/SMP-20-006/index.html")
submission.add_link("arXiv", "http://arxiv.org/abs/arXiv:2009.09429")
submission.add_record_id(1818160, "inspire")
### Begin Table 4
table4 = Table("Table 4")
table4.description = "Systematic uncertainties of the $\mathrm{W}^\pm_{\mathrm{L}}\mathrm{W}^\pm_{\mathrm{L}}$ and $\mathrm{W}^\pm_{\mathrm{X}}\mathrm{W}^\pm_{\mathrm{T}}$, and $\mathrm{W}^\pm_{\mathrm{L}}\mathrm{W}^\pm_{\mathrm{X}}$ and $\mathrm{W}^\pm_{\mathrm{T}}\mathrm{W}^\pm_{\mathrm{T}}$ cross section measurements in units of percent."
table4.location = "Data from Table 4"
table4.keywords["observables"] = ["Uncertainty"]
table4.keywords["reactions"] = ["P P --> W W j j"]
table4.keywords["phrases"] = ["VBS", "Polarized", "Same-sign WW"]
data4 = np.loadtxt("HEPData/inputs/smp20006/systematics.txt", dtype='string', skiprows=2)