preparations for new vegas

latex/tex/pdf/results.tex

@@ -92,3 +92,5 @@ For the numeric analysis a proton beam energy of
 \result{xs/python/pdf/e_proton} has been chosen, in accordance to
 \lhc{} beam energies. As for the cuts, \result{xs/python/pdf/eta} and
 \result{xs/python/pdf/min_pT} have been set.
+
+The result

prog/python/qqgg/parton_density_function_stuff.org

@@ -29,7 +29,7 @@
 ** Global Config
 #+begin_src jupyter-python :exports both :results raw drawer
   η = 1
-  min_pT = 20
+  min_pT = 1000
   e_proton = 6500  # GeV
   interval_η = [-η, η]
   interval = η_to_θ([-η, η])
@@ -37,6 +37,10 @@
   pdf = lhapdf.mkPDF("NNPDF31_lo_as_0118", 0)
 #+end_src
 
+#+RESULTS:
+: LHAPDF 6.2.3 loading /usr/share/lhapdf/LHAPDF/NNPDF31_lo_as_0118/NNPDF31_lo_as_0118_0000.dat
+: NNPDF31_lo_as_0118 PDF set, member #0, version 1; LHAPDF ID = 315000
+
 We gonna export that for reference in the tex document.
 #+begin_src jupyter-python :exports both :results raw drawer
   tex_value(min_pT, prefix=r"\pt \geq ", prec=0, unit=r"\giga\electronvolt", save=("results/pdf/", "min_pT.tex"))
@@ -486,23 +490,23 @@ Now, it would be interesting to know the total cross section.
   xs_int_res, xs_sample = monte_carlo.integrate(
       lambda x: gev_to_pb(2 * np.pi * dist_η_vec(x)),
       np.array([interval_η, [pdf.xMin, 1], [pdf.xMin, 1]]),
-      num_points=20000000,
+      num_points=100000,  #40000000,
       adapt=False,
       return_sample=True,
-      cache="cache/pdf/total_xs_20",
+      #cache="cache/pdf/total_xs_20",
   )
-  xs_int_res.result, xs_int_res.sigma
+  xs_int_res.result*2, xs_int_res.sigma*2
 #+end_src
 
 #+RESULTS:
-| 4.749435703415442 | 0.22221593406904638 |
+| 2.9756849800991106e-05 | 6.610709581501955e-07 |
 
 #+begin_src jupyter-python :exports both :results raw drawer
   xs_int_res.result*(3/2)**2, xs_int_res.sigma*(3/2)**2
 #+end_src
 
 #+RESULTS:
-| 10.686230332684746 | 0.49998585165535436 |
+| 10.160028081500599 | 0.33149821547417074 |
 
 #+begin_src jupyter-python :exports both :results raw drawer
   sherpa, sherpa_σ = np.loadtxt("../../runcards/pp_sherpa_299_port/sherpa_xs")[0:2]
@@ -520,7 +524,7 @@ there are two identical protons.
 #+end_src
 
 #+RESULTS:
-: 1.4743867004729503
+: 1.512085037578425
 
 A factor of (3/2)^2. Hmm.
 #+begin_src jupyter-python :exports both :results raw drawer
@@ -528,7 +532,7 @@ np.abs(sherpa - xs_int_res.result*(3/2)**2)
 #+end_src
 
 #+RESULTS:
-: 0.36183033268474496
+: 0.16437191849940191
 
 We use this as upper bound, as the maximizer is bogus because of the
 cuts!

prog/runcards/pp/Sherpa.yaml

@@ -12,7 +12,7 @@ BEAMS: [2212, 2212]
 BEAM_ENERGIES: 6500
 PDF_LIBRARY: LHAPDFSherpa
 PDF_SET: NNPDF31_lo_as_0118
-PDF_SET_VERSIONS: [0, 1]
+PDF_SET_VERSIONS: [0, 0]
 
 # SHERPA_LDADD:
 # - FlatPDF
@@ -43,7 +43,7 @@ MI_HANDLER: None
 # cuts
 SELECTORS:
 - [Eta, 22, -1, 1]
-- [PT, 22, 20, 200000000]
+- [PT, 22, 1000, 200000000]
 
 # no transverse impulses
 BEAM_REMNANTS: false

prog/runcards/pp/makefile

@@ -1,5 +1,5 @@
 sherpa_xs: Sherpa.yaml
-	Sherpa -e 0 -a "" 'GENERATE_RESULT_DIRECTORY: false' | sed 's/\x1b\[[0-9;]*m//g' | perl -ne 'while(/.*\s:\s([0-9]\.[0-9]+(?:e-?[0-9]+)?)\spb\s\+-\s\(\s([0-9]\.[0-9]+(?:e-?[0-9]+)?).*$$/g){print "$$1\n$$2";}'  > sherpa_xs
+	Sherpa -e 0 -a "" 'GENERATE_RESULT_DIRECTORY: false' | sed 's/\x1b\[[0-9;]*m//g' | perl -ne 'while(/.*\s:\s([0-9]\.[0-9]+(?:e-?[0-9]+)?)\spb\s\+-\s\(\s([0-9]\.[0-9]+(?:e-?[0-9]+)?).*$$/g){print "$$1\n$$2";}' | tee sherpa_xs
 
 ROOT_DIR:=$(shell dirname $(realpath $(firstword $(MAKEFILE_LIST))))
 analysis: Sherpa.yaml

prog/runcards/pp/sherpa_xs

@@ -1,2 +1,2 @@
-9.72383
-0.00966458
+2.88725e-05
+3.86638e-08