diff --git a/bachelorarbeit/exports/delta.txt b/bachelorarbeit/exports/delta.txt
new file mode 100644
index 0000000..1f037f1
--- /dev/null
+++ b/bachelorarbeit/exports/delta.txt
@@ -0,0 +1 @@
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diff --git a/bachelorarbeit/exports/omnes.txt b/bachelorarbeit/exports/omnes.txt
new file mode 100644
index 0000000..d731b6b
--- /dev/null
+++ b/bachelorarbeit/exports/omnes.txt
@@ -0,0 +1 @@
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diff --git a/bachelorarbeit/exports/omnes_integrand.txt b/bachelorarbeit/exports/omnes_integrand.txt
new file mode 100644
index 0000000..eba444a
--- /dev/null
+++ b/bachelorarbeit/exports/omnes_integrand.txt
@@ -0,0 +1 @@
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diff --git a/bachelorarbeit/exports/omnes_integrand_tan.txt b/bachelorarbeit/exports/omnes_integrand_tan.txt
new file mode 100644
index 0000000..afb8329
--- /dev/null
+++ b/bachelorarbeit/exports/omnes_integrand_tan.txt
@@ -0,0 +1 @@
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diff --git a/bachelorarbeit/exports/omnes_integrand_zoom.txt b/bachelorarbeit/exports/omnes_integrand_zoom.txt
new file mode 100644
index 0000000..fee0fb0
--- /dev/null
+++ b/bachelorarbeit/exports/omnes_integrand_zoom.txt
@@ -0,0 +1 @@
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diff --git a/bachelorarbeit/exports/phi0.txt b/bachelorarbeit/exports/phi0.txt
new file mode 100644
index 0000000..f8c4b37
--- /dev/null
+++ b/bachelorarbeit/exports/phi0.txt
@@ -0,0 +1 @@
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diff --git a/bachelorarbeit/exports/phi0_delta_rel_diff.txt b/bachelorarbeit/exports/phi0_delta_rel_diff.txt
new file mode 100644
index 0000000..4401957
--- /dev/null
+++ b/bachelorarbeit/exports/phi0_delta_rel_diff.txt
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diff --git a/bachelorarbeit/exports/phi0_integrand.txt b/bachelorarbeit/exports/phi0_integrand.txt
new file mode 100644
index 0000000..01e45e7
--- /dev/null
+++ b/bachelorarbeit/exports/phi0_integrand.txt
@@ -0,0 +1 @@
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diff --git a/bachelorarbeit/exports/phi0_integrand_tan.txt b/bachelorarbeit/exports/phi0_integrand_tan.txt
new file mode 100644
index 0000000..3399d19
--- /dev/null
+++ b/bachelorarbeit/exports/phi0_integrand_tan.txt
@@ -0,0 +1 @@
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diff --git a/bachelorarbeit/exports/phi0_integrand_zoom.txt b/bachelorarbeit/exports/phi0_integrand_zoom.txt
new file mode 100644
index 0000000..3a16ee9
--- /dev/null
+++ b/bachelorarbeit/exports/phi0_integrand_zoom.txt
@@ -0,0 +1 @@
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@@ -488,4 +488,4 @@ function search(term) {
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     return n.toFixed(4) + "%";
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0.91%)</title><rect x="52.2135%" y="245" width="0.9115%" height="15" fill="rgb(224,169,11)" fg:x="401" fg:w="7"/><text x="52.4635%" y="255.50"></text></g><g><title>[unknown] (7 samples, 0.91%)</title><rect x="52.2135%" y="229" width="0.9115%" height="15" fill="rgb(250,166,2)" fg:x="401" fg:w="7"/><text x="52.4635%" y="239.50"></text></g><g><title>[unknown] (7 samples, 0.91%)</title><rect x="52.2135%" y="213" width="0.9115%" height="15" fill="rgb(242,216,29)" fg:x="401" fg:w="7"/><text x="52.4635%" y="223.50"></text></g><g><title>[unknown] (7 samples, 0.91%)</title><rect x="52.2135%" y="197" width="0.9115%" height="15" fill="rgb(230,116,27)" fg:x="401" fg:w="7"/><text x="52.4635%" y="207.50"></text></g><g><title>[unknown] (6 samples, 0.78%)</title><rect x="52.3438%" y="181" width="0.7812%" height="15" fill="rgb(228,99,48)" fg:x="402" fg:w="6"/><text x="52.5938%" y="191.50"></text></g><g><title>dashmap::lock::RawRwLock::lock_exclusive_slow (8 samples, 1.04%)</title><rect x="52.2135%" 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(1 samples, 0.13%)</title><rect x="73.3073%" y="309" width="0.1302%" height="15" fill="rgb(240,187,13)" fg:x="563" fg:w="1"/><text x="73.5573%" y="319.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="73.3073%" y="293" width="0.1302%" height="15" fill="rgb(223,113,26)" fg:x="563" fg:w="1"/><text x="73.5573%" y="303.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="73.3073%" y="277" width="0.1302%" height="15" fill="rgb(206,192,2)" fg:x="563" fg:w="1"/><text x="73.5573%" y="287.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="73.3073%" y="261" width="0.1302%" height="15" fill="rgb(241,108,4)" fg:x="563" fg:w="1"/><text x="73.5573%" y="271.50"></text></g><g><title>bachelorarbeit::calc::omnes (492 samples, 64.06%)</title><rect x="9.5052%" y="437" width="64.0625%" height="15" fill="rgb(247,173,49)" fg:x="73" fg:w="492"/><text x="9.7552%" 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fg:w="1"/><text x="73.6875%" y="287.50"></text></g><g><title>indicatif::state::BarState::draw (1 samples, 0.13%)</title><rect x="73.5677%" y="437" width="0.1302%" height="15" fill="rgb(221,13,13)" fg:x="565" fg:w="1"/><text x="73.8177%" y="447.50"></text></g><g><title>indicatif::draw_target::ProgressDrawTarget::width (1 samples, 0.13%)</title><rect x="73.5677%" y="421" width="0.1302%" height="15" fill="rgb(238,131,9)" fg:x="565" fg:w="1"/><text x="73.8177%" y="431.50"></text></g><g><title>__isatty (1 samples, 0.13%)</title><rect x="73.5677%" y="405" width="0.1302%" height="15" fill="rgb(211,50,8)" fg:x="565" fg:w="1"/><text x="73.8177%" y="415.50"></text></g><g><title>__GI___tcgetattr (1 samples, 0.13%)</title><rect x="73.5677%" y="389" width="0.1302%" height="15" fill="rgb(245,182,24)" fg:x="565" fg:w="1"/><text x="73.8177%" y="399.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="73.5677%" y="373" width="0.1302%" height="15" fill="rgb(242,14,37)" fg:x="565" 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samples, 0.78%)</title><rect x="73.6979%" y="325" width="0.7812%" height="15" fill="rgb(219,102,11)" fg:x="566" fg:w="6"/><text x="73.9479%" y="335.50"></text></g><g><title>[unknown] (6 samples, 0.78%)</title><rect x="73.6979%" y="309" width="0.7812%" height="15" fill="rgb(243,110,44)" fg:x="566" fg:w="6"/><text x="73.9479%" y="319.50"></text></g><g><title>[unknown] (6 samples, 0.78%)</title><rect x="73.6979%" y="293" width="0.7812%" height="15" fill="rgb(222,74,54)" fg:x="566" fg:w="6"/><text x="73.9479%" y="303.50"></text></g><g><title>[unknown] (6 samples, 0.78%)</title><rect x="73.6979%" y="277" width="0.7812%" height="15" fill="rgb(216,99,12)" fg:x="566" fg:w="6"/><text x="73.9479%" y="287.50"></text></g><g><title>[unknown] (6 samples, 0.78%)</title><rect x="73.6979%" y="261" width="0.7812%" height="15" fill="rgb(226,22,26)" fg:x="566" fg:w="6"/><text x="73.9479%" y="271.50"></text></g><g><title>[unknown] (6 samples, 0.78%)</title><rect x="73.6979%" y="245" width="0.7812%" height="15" fill="rgb(217,163,10)" fg:x="566" fg:w="6"/><text x="73.9479%" y="255.50"></text></g><g><title>[unknown] (5 samples, 0.65%)</title><rect x="73.8281%" y="229" width="0.6510%" height="15" fill="rgb(213,25,53)" fg:x="567" fg:w="5"/><text x="74.0781%" y="239.50"></text></g><g><title>[unknown] (5 samples, 0.65%)</title><rect x="73.8281%" y="213" width="0.6510%" height="15" fill="rgb(252,105,26)" fg:x="567" fg:w="5"/><text x="74.0781%" y="223.50"></text></g><g><title>[unknown] (5 samples, 0.65%)</title><rect x="73.8281%" y="197" width="0.6510%" height="15" fill="rgb(220,39,43)" fg:x="567" fg:w="5"/><text x="74.0781%" y="207.50"></text></g><g><title>[unknown] (5 samples, 0.65%)</title><rect x="73.8281%" y="181" width="0.6510%" height="15" fill="rgb(229,68,48)" fg:x="567" fg:w="5"/><text x="74.0781%" y="191.50"></text></g><g><title>rayon::iter::plumbing::bridge_producer_consumer::helper (504 samples, 65.62%)</title><rect x="9.3750%" y="517" width="65.6250%" height="15" fill="rgb(252,8,32)" fg:x="72" fg:w="504"/><text x="9.6250%" y="527.50">rayon::iter::plumbing::bridge_producer_consumer::helper</text></g><g><title>rayon_core::join::join_context::_{{closure}} (504 samples, 65.62%)</title><rect x="9.3750%" y="501" width="65.6250%" height="15" fill="rgb(223,20,43)" fg:x="72" fg:w="504"/><text x="9.6250%" y="511.50">rayon_core::join::join_context::_{{closure}}</text></g><g><title>rayon_core::registry::WorkerThread::wait_until_cold (4 samples, 0.52%)</title><rect x="74.4792%" y="485" width="0.5208%" height="15" fill="rgb(229,81,49)" fg:x="572" fg:w="4"/><text x="74.7292%" y="495.50"></text></g><g><title>&lt;rayon_core::job::StackJob&lt;L,F,R&gt; as rayon_core::job::Job&gt;::execute (4 samples, 0.52%)</title><rect x="74.4792%" y="469" width="0.5208%" height="15" fill="rgb(236,28,36)" fg:x="572" fg:w="4"/><text x="74.7292%" y="479.50"></text></g><g><title>rayon::iter::plumbing::bridge_producer_consumer::helper (4 samples, 0.52%)</title><rect x="74.4792%" y="453" width="0.5208%" height="15" fill="rgb(249,185,26)" fg:x="572" fg:w="4"/><text x="74.7292%" y="463.50"></text></g><g><title>bachelorarbeit::calc::omnes (4 samples, 0.52%)</title><rect x="74.4792%" y="437" width="0.5208%" height="15" fill="rgb(249,174,33)" fg:x="572" fg:w="4"/><text x="74.7292%" y="447.50"></text></g><g><title>bachelorarbeit::calc::delta_with_lut (4 samples, 0.52%)</title><rect x="74.4792%" y="421" width="0.5208%" height="15" fill="rgb(233,201,37)" fg:x="572" fg:w="4"/><text x="74.7292%" y="431.50"></text></g><g><title>dashmap::lock::RawRwLock::lock_shared_slow (1 samples, 0.13%)</title><rect x="74.8698%" y="405" width="0.1302%" height="15" fill="rgb(221,78,26)" fg:x="575" fg:w="1"/><text x="75.1198%" y="415.50"></text></g><g><title>__tan_fma (1 samples, 0.13%)</title><rect x="75.1302%" y="421" width="0.1302%" height="15" fill="rgb(250,127,30)" fg:x="577" fg:w="1"/><text x="75.3802%" y="431.50"></text></g><g><title>rayon::iter::plumbing::bridge_producer_consumer::helper (519 samples, 67.58%)</title><rect x="9.3750%" y="549" width="67.5781%" height="15" fill="rgb(230,49,44)" fg:x="72" fg:w="519"/><text x="9.6250%" y="559.50">rayon::iter::plumbing::bridge_producer_consumer::helper</text></g><g><title>rayon_core::join::join_context::_{{closure}} (519 samples, 67.58%)</title><rect x="9.3750%" y="533" width="67.5781%" height="15" fill="rgb(229,67,23)" fg:x="72" fg:w="519"/><text x="9.6250%" y="543.50">rayon_core::join::join_context::_{{closure}}</text></g><g><title>rayon_core::registry::WorkerThread::wait_until_cold (15 samples, 1.95%)</title><rect x="75.0000%" y="517" width="1.9531%" height="15" fill="rgb(249,83,47)" fg:x="576" fg:w="15"/><text x="75.2500%" y="527.50">r..</text></g><g><title>&lt;rayon_core::job::StackJob&lt;L,F,R&gt; as rayon_core::job::Job&gt;::execute (15 samples, 1.95%)</title><rect x="75.0000%" y="501" width="1.9531%" height="15" fill="rgb(215,43,3)" fg:x="576" fg:w="15"/><text x="75.2500%" y="511.50">&lt;..</text></g><g><title>rayon::iter::plumbing::bridge_producer_consumer::helper (15 samples, 1.95%)</title><rect x="75.0000%" y="485" width="1.9531%" height="15" fill="rgb(238,154,13)" fg:x="576" fg:w="15"/><text x="75.2500%" y="495.50">r..</text></g><g><title>rayon_core::join::join_context::_{{closure}} (15 samples, 1.95%)</title><rect x="75.0000%" y="469" width="1.9531%" height="15" fill="rgb(219,56,2)" fg:x="576" fg:w="15"/><text x="75.2500%" y="479.50">r..</text></g><g><title>rayon::iter::plumbing::bridge_producer_consumer::helper (15 samples, 1.95%)</title><rect x="75.0000%" y="453" width="1.9531%" height="15" fill="rgb(233,0,4)" fg:x="576" fg:w="15"/><text x="75.2500%" y="463.50">r..</text></g><g><title>bachelorarbeit::calc::omnes (15 samples, 1.95%)</title><rect x="75.0000%" y="437" width="1.9531%" height="15" fill="rgb(235,30,7)" fg:x="576" fg:w="15"/><text x="75.2500%" y="447.50">b..</text></g><g><title>bachelorarbeit::calc::delta_with_lut (13 samples, 1.69%)</title><rect x="75.2604%" y="421" width="1.6927%" height="15" fill="rgb(250,79,13)" fg:x="578" fg:w="13"/><text x="75.5104%" y="431.50"></text></g><g><title>dashmap::lock::RawRwLock::lock_shared_slow (9 samples, 1.17%)</title><rect x="75.7812%" y="405" width="1.1719%" height="15" fill="rgb(211,146,34)" fg:x="582" fg:w="9"/><text x="76.0312%" y="415.50"></text></g><g><title>__cos_fma (1 samples, 0.13%)</title><rect x="77.4740%" y="421" width="0.1302%" height="15" fill="rgb(228,22,38)" fg:x="595" fg:w="1"/><text x="77.7240%" y="431.50"></text></g><g><title>do_sin (1 samples, 0.13%)</title><rect x="77.4740%" y="405" width="0.1302%" height="15" fill="rgb(235,168,5)" fg:x="595" fg:w="1"/><text x="77.7240%" y="415.50"></text></g><g><title>__tan_fma (1 samples, 0.13%)</title><rect x="77.6042%" y="421" width="0.1302%" height="15" fill="rgb(221,155,16)" fg:x="596" fg:w="1"/><text x="77.8542%" y="431.50"></text></g><g><title>rayon::iter::plumbing::bridge_producer_consumer::helper (48 samples, 6.25%)</title><rect x="76.9531%" y="485" width="6.2500%" height="15" fill="rgb(215,215,53)" fg:x="591" fg:w="48"/><text x="77.2031%" y="495.50">rayon::i..</text></g><g><title>rayon_core::join::join_context::_{{closure}} (48 samples, 6.25%)</title><rect x="76.9531%" y="469" width="6.2500%" height="15" fill="rgb(223,4,10)" fg:x="591" fg:w="48"/><text x="77.2031%" y="479.50">rayon_co..</text></g><g><title>rayon::iter::plumbing::bridge_producer_consumer::helper (48 samples, 6.25%)</title><rect x="76.9531%" y="453" width="6.2500%" height="15" fill="rgb(234,103,6)" fg:x="591" fg:w="48"/><text x="77.2031%" y="463.50">rayon::i..</text></g><g><title>bachelorarbeit::calc::omnes (48 samples, 6.25%)</title><rect x="76.9531%" y="437" width="6.2500%" height="15" fill="rgb(227,97,0)" fg:x="591" fg:w="48"/><text x="77.2031%" y="447.50">bachelor..</text></g><g><title>bachelorarbeit::calc::delta_with_lut (42 samples, 5.47%)</title><rect x="77.7344%" y="421" width="5.4688%" height="15" fill="rgb(234,150,53)" fg:x="597" fg:w="42"/><text x="77.9844%" y="431.50">bachelo..</text></g><g><title>dashmap::lock::RawRwLock::lock_shared_slow (29 samples, 3.78%)</title><rect x="79.4271%" y="405" width="3.7760%" height="15" fill="rgb(228,201,54)" fg:x="610" fg:w="29"/><text x="79.6771%" y="415.50">dash..</text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="83.0729%" y="389" width="0.1302%" height="15" fill="rgb(222,22,37)" fg:x="638" fg:w="1"/><text x="83.3229%" y="399.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="83.0729%" y="373" width="0.1302%" height="15" fill="rgb(237,53,32)" fg:x="638" fg:w="1"/><text x="83.3229%" y="383.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="83.0729%" y="357" width="0.1302%" height="15" fill="rgb(233,25,53)" fg:x="638" fg:w="1"/><text x="83.3229%" y="367.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="83.0729%" y="341" width="0.1302%" height="15" fill="rgb(210,40,34)" fg:x="638" fg:w="1"/><text x="83.3229%" y="351.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="83.0729%" y="325" width="0.1302%" height="15" fill="rgb(241,220,44)" fg:x="638" fg:w="1"/><text x="83.3229%" y="335.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="83.0729%" y="309" width="0.1302%" height="15" fill="rgb(235,28,35)" fg:x="638" fg:w="1"/><text x="83.3229%" y="319.50"></text></g><g><title>rayon_core::join::join_context::_{{closure}} (570 samples, 74.22%)</title><rect x="9.3750%" y="565" width="74.2188%" height="15" fill="rgb(210,56,17)" fg:x="72" fg:w="570"/><text x="9.6250%" y="575.50">rayon_core::join::join_context::_{{closure}}</text></g><g><title>rayon_core::registry::WorkerThread::wait_until_cold (51 samples, 6.64%)</title><rect x="76.9531%" y="549" width="6.6406%" height="15" fill="rgb(224,130,29)" fg:x="591" fg:w="51"/><text x="77.2031%" y="559.50">rayon_cor..</text></g><g><title>&lt;rayon_core::job::StackJob&lt;L,F,R&gt; as rayon_core::job::Job&gt;::execute (51 samples, 6.64%)</title><rect x="76.9531%" y="533" width="6.6406%" height="15" fill="rgb(235,212,8)" fg:x="591" fg:w="51"/><text x="77.2031%" y="543.50">&lt;rayon_co..</text></g><g><title>rayon::iter::plumbing::bridge_producer_consumer::helper (51 samples, 6.64%)</title><rect x="76.9531%" y="517" width="6.6406%" height="15" fill="rgb(223,33,50)" fg:x="591" fg:w="51"/><text x="77.2031%" y="527.50">rayon::it..</text></g><g><title>rayon_core::join::join_context::_{{closure}} (51 samples, 6.64%)</title><rect x="76.9531%" y="501" width="6.6406%" height="15" fill="rgb(219,149,13)" fg:x="591" fg:w="51"/><text x="77.2031%" y="511.50">rayon_cor..</text></g><g><title>rayon_core::registry::WorkerThread::wait_until_cold (3 samples, 0.39%)</title><rect x="83.2031%" y="485" width="0.3906%" height="15" fill="rgb(250,156,29)" fg:x="639" fg:w="3"/><text x="83.4531%" y="495.50"></text></g><g><title>&lt;rayon_core::job::StackJob&lt;L,F,R&gt; as rayon_core::job::Job&gt;::execute (3 samples, 0.39%)</title><rect x="83.2031%" y="469" width="0.3906%" height="15" fill="rgb(216,193,19)" fg:x="639" fg:w="3"/><text x="83.4531%" y="479.50"></text></g><g><title>rayon::iter::plumbing::bridge_producer_consumer::helper (3 samples, 0.39%)</title><rect x="83.2031%" y="453" width="0.3906%" height="15" fill="rgb(216,135,14)" fg:x="639" fg:w="3"/><text x="83.4531%" y="463.50"></text></g><g><title>bachelorarbeit::calc::omnes (3 samples, 0.39%)</title><rect x="83.2031%" y="437" width="0.3906%" height="15" fill="rgb(241,47,5)" fg:x="639" fg:w="3"/><text x="83.4531%" y="447.50"></text></g><g><title>bachelorarbeit::calc::delta_with_lut (3 samples, 0.39%)</title><rect x="83.2031%" y="421" width="0.3906%" height="15" fill="rgb(233,42,35)" fg:x="639" fg:w="3"/><text x="83.4531%" y="431.50"></text></g><g><title>dashmap::lock::RawRwLock::lock_shared_slow (1 samples, 0.13%)</title><rect x="83.4635%" y="405" width="0.1302%" height="15" fill="rgb(231,13,6)" fg:x="641" fg:w="1"/><text x="83.7135%" y="415.50"></text></g><g><title>__cos_fma (2 samples, 0.26%)</title><rect x="83.9844%" y="405" width="0.2604%" height="15" fill="rgb(207,181,40)" fg:x="645" fg:w="2"/><text x="84.2344%" y="415.50"></text></g><g><title>do_sin (1 samples, 0.13%)</title><rect x="84.1146%" y="389" width="0.1302%" height="15" fill="rgb(254,173,49)" fg:x="646" fg:w="1"/><text x="84.3646%" y="399.50"></text></g><g><title>__tan_fma (5 samples, 0.65%)</title><rect x="84.2448%" y="405" width="0.6510%" height="15" fill="rgb(221,1,38)" fg:x="647" fg:w="5"/><text x="84.4948%" y="415.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="84.7656%" y="389" width="0.1302%" height="15" fill="rgb(206,124,46)" fg:x="651" fg:w="1"/><text x="85.0156%" y="399.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="84.7656%" y="373" width="0.1302%" height="15" fill="rgb(249,21,11)" fg:x="651" fg:w="1"/><text x="85.0156%" y="383.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="84.7656%" y="357" width="0.1302%" height="15" fill="rgb(222,201,40)" fg:x="651" fg:w="1"/><text x="85.0156%" y="367.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="84.7656%" y="341" width="0.1302%" height="15" fill="rgb(235,61,29)" fg:x="651" fg:w="1"/><text x="85.0156%" y="351.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="84.7656%" y="325" width="0.1302%" height="15" fill="rgb(219,207,3)" fg:x="651" fg:w="1"/><text x="85.0156%" y="335.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="84.7656%" y="309" width="0.1302%" height="15" fill="rgb(222,56,46)" fg:x="651" fg:w="1"/><text x="85.0156%" y="319.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="84.7656%" y="293" width="0.1302%" height="15" fill="rgb(239,76,54)" fg:x="651" fg:w="1"/><text x="85.0156%" y="303.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="84.7656%" y="277" width="0.1302%" height="15" fill="rgb(231,124,27)" fg:x="651" fg:w="1"/><text x="85.0156%" y="287.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="84.7656%" y="261" width="0.1302%" height="15" fill="rgb(249,195,6)" fg:x="651" fg:w="1"/><text x="85.0156%" y="271.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="84.7656%" y="245" width="0.1302%" height="15" fill="rgb(237,174,47)" fg:x="651" fg:w="1"/><text x="85.0156%" y="255.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="84.7656%" y="229" width="0.1302%" height="15" fill="rgb(206,201,31)" fg:x="651" fg:w="1"/><text x="85.0156%" y="239.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="84.7656%" y="213" width="0.1302%" height="15" fill="rgb(231,57,52)" fg:x="651" fg:w="1"/><text x="85.0156%" y="223.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="84.7656%" y="197" width="0.1302%" height="15" fill="rgb(248,177,22)" fg:x="651" fg:w="1"/><text x="85.0156%" y="207.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="84.7656%" y="181" width="0.1302%" height="15" fill="rgb(215,211,37)" fg:x="651" fg:w="1"/><text x="85.0156%" y="191.50"></text></g><g><title>rayon::iter::plumbing::bridge_producer_consumer::helper (65 samples, 8.46%)</title><rect x="83.5938%" y="469" width="8.4635%" height="15" fill="rgb(241,128,51)" fg:x="642" fg:w="65"/><text x="83.8438%" y="479.50">rayon::iter:..</text></g><g><title>rayon_core::join::join_context::_{{closure}} (65 samples, 8.46%)</title><rect x="83.5938%" y="453" width="8.4635%" height="15" fill="rgb(227,165,31)" fg:x="642" fg:w="65"/><text x="83.8438%" y="463.50">rayon_core::..</text></g><g><title>rayon::iter::plumbing::bridge_producer_consumer::helper (64 samples, 8.33%)</title><rect x="83.7240%" y="437" width="8.3333%" height="15" fill="rgb(228,167,24)" fg:x="643" fg:w="64"/><text x="83.9740%" y="447.50">rayon::iter:..</text></g><g><title>bachelorarbeit::calc::omnes (64 samples, 8.33%)</title><rect x="83.7240%" y="421" width="8.3333%" height="15" fill="rgb(228,143,12)" fg:x="643" fg:w="64"/><text x="83.9740%" y="431.50">bachelorarbe..</text></g><g><title>bachelorarbeit::calc::delta_with_lut (55 samples, 7.16%)</title><rect x="84.8958%" y="405" width="7.1615%" height="15" fill="rgb(249,149,8)" fg:x="652" fg:w="55"/><text x="85.1458%" y="415.50">bachelorar..</text></g><g><title>dashmap::lock::RawRwLock::lock_shared_slow (29 samples, 3.78%)</title><rect x="88.2812%" y="389" width="3.7760%" height="15" fill="rgb(243,35,44)" fg:x="678" fg:w="29"/><text x="88.5312%" y="399.50">dash..</text></g><g><title>rayon::iter::plumbing::bridge_producer_consumer::helper (66 samples, 8.59%)</title><rect x="83.5938%" y="501" width="8.5938%" height="15" fill="rgb(246,89,9)" fg:x="642" fg:w="66"/><text x="83.8438%" y="511.50">rayon::iter:..</text></g><g><title>rayon_core::join::join_context::_{{closure}} (66 samples, 8.59%)</title><rect x="83.5938%" y="485" width="8.5938%" height="15" fill="rgb(233,213,13)" fg:x="642" fg:w="66"/><text x="83.8438%" y="495.50">rayon_core::..</text></g><g><title>rayon_core::registry::WorkerThread::wait_until_cold (1 samples, 0.13%)</title><rect x="92.0573%" y="469" width="0.1302%" height="15" fill="rgb(233,141,41)" fg:x="707" fg:w="1"/><text x="92.3073%" y="479.50"></text></g><g><title>&lt;rayon_core::job::StackJob&lt;L,F,R&gt; as rayon_core::job::Job&gt;::execute (1 samples, 0.13%)</title><rect x="92.0573%" y="453" width="0.1302%" height="15" fill="rgb(239,167,4)" fg:x="707" fg:w="1"/><text x="92.3073%" y="463.50"></text></g><g><title>rayon::iter::plumbing::bridge_producer_consumer::helper (1 samples, 0.13%)</title><rect x="92.0573%" y="437" width="0.1302%" height="15" fill="rgb(209,217,16)" fg:x="707" fg:w="1"/><text x="92.3073%" y="447.50"></text></g><g><title>bachelorarbeit::calc::omnes (1 samples, 0.13%)</title><rect x="92.0573%" y="421" width="0.1302%" height="15" fill="rgb(219,88,35)" fg:x="707" fg:w="1"/><text x="92.3073%" y="431.50"></text></g><g><title>bachelorarbeit::calc::delta_with_lut (1 samples, 0.13%)</title><rect x="92.0573%" y="405" width="0.1302%" height="15" fill="rgb(220,193,23)" fg:x="707" fg:w="1"/><text x="92.3073%" y="415.50"></text></g><g><title>[unknown] (718 samples, 93.49%)</title><rect x="0.2604%" y="581" width="93.4896%" height="15" fill="rgb(230,90,52)" fg:x="2" fg:w="718"/><text x="0.5104%" y="591.50">[unknown]</text></g><g><title>rayon_core::registry::WorkerThread::wait_until_cold (78 samples, 10.16%)</title><rect x="83.5938%" y="565" width="10.1562%" height="15" fill="rgb(252,106,19)" fg:x="642" fg:w="78"/><text x="83.8438%" y="575.50">rayon_core::reg..</text></g><g><title>&lt;rayon_core::job::StackJob&lt;L,F,R&gt; as rayon_core::job::Job&gt;::execute (78 samples, 10.16%)</title><rect x="83.5938%" y="549" width="10.1562%" height="15" fill="rgb(206,74,20)" fg:x="642" fg:w="78"/><text x="83.8438%" y="559.50">&lt;rayon_core::jo..</text></g><g><title>rayon::iter::plumbing::bridge_producer_consumer::helper (78 samples, 10.16%)</title><rect x="83.5938%" y="533" width="10.1562%" height="15" fill="rgb(230,138,44)" fg:x="642" fg:w="78"/><text x="83.8438%" y="543.50">rayon::iter::pl..</text></g><g><title>rayon_core::join::join_context::_{{closure}} (78 samples, 10.16%)</title><rect x="83.5938%" y="517" width="10.1562%" height="15" fill="rgb(235,182,43)" fg:x="642" fg:w="78"/><text x="83.8438%" y="527.50">rayon_core::joi..</text></g><g><title>rayon_core::registry::WorkerThread::wait_until_cold (12 samples, 1.56%)</title><rect x="92.1875%" y="501" width="1.5625%" height="15" fill="rgb(242,16,51)" fg:x="708" fg:w="12"/><text x="92.4375%" y="511.50"></text></g><g><title>&lt;rayon_core::job::StackJob&lt;L,F,R&gt; as rayon_core::job::Job&gt;::execute (12 samples, 1.56%)</title><rect x="92.1875%" y="485" width="1.5625%" height="15" fill="rgb(248,9,4)" fg:x="708" fg:w="12"/><text x="92.4375%" y="495.50"></text></g><g><title>rayon::iter::plumbing::bridge_producer_consumer::helper (12 samples, 1.56%)</title><rect x="92.1875%" y="469" width="1.5625%" height="15" fill="rgb(210,31,22)" fg:x="708" fg:w="12"/><text x="92.4375%" y="479.50"></text></g><g><title>rayon_core::join::join_context::_{{closure}} (12 samples, 1.56%)</title><rect x="92.1875%" y="453" width="1.5625%" height="15" fill="rgb(239,54,39)" fg:x="708" fg:w="12"/><text x="92.4375%" y="463.50"></text></g><g><title>rayon::iter::plumbing::bridge_producer_consumer::helper (12 samples, 1.56%)</title><rect x="92.1875%" y="437" width="1.5625%" height="15" fill="rgb(230,99,41)" fg:x="708" fg:w="12"/><text x="92.4375%" y="447.50"></text></g><g><title>bachelorarbeit::calc::omnes (12 samples, 1.56%)</title><rect x="92.1875%" y="421" width="1.5625%" height="15" fill="rgb(253,106,12)" fg:x="708" fg:w="12"/><text x="92.4375%" y="431.50"></text></g><g><title>bachelorarbeit::calc::delta_with_lut (12 samples, 1.56%)</title><rect x="92.1875%" y="405" width="1.5625%" height="15" fill="rgb(213,46,41)" fg:x="708" fg:w="12"/><text x="92.4375%" y="415.50"></text></g><g><title>dashmap::lock::RawRwLock::lock_shared_slow (9 samples, 1.17%)</title><rect x="92.5781%" y="389" width="1.1719%" height="15" fill="rgb(215,133,35)" fg:x="711" fg:w="9"/><text x="92.8281%" y="399.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="93.7500%" y="565" width="0.1302%" height="15" fill="rgb(213,28,5)" fg:x="720" fg:w="1"/><text x="94.0000%" y="575.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="93.7500%" y="549" width="0.1302%" height="15" fill="rgb(215,77,49)" fg:x="720" fg:w="1"/><text x="94.0000%" y="559.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="93.7500%" y="533" width="0.1302%" height="15" fill="rgb(248,100,22)" fg:x="720" 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height="15" fill="rgb(221,220,41)" fg:x="721" fg:w="1"/><text x="94.1302%" y="351.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="93.8802%" y="325" width="0.1302%" height="15" fill="rgb(218,133,21)" fg:x="721" fg:w="1"/><text x="94.1302%" y="335.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="93.8802%" y="309" width="0.1302%" height="15" fill="rgb(221,193,43)" fg:x="721" fg:w="1"/><text x="94.1302%" y="319.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="93.8802%" y="293" width="0.1302%" height="15" fill="rgb(240,128,52)" fg:x="721" fg:w="1"/><text x="94.1302%" y="303.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="93.8802%" y="277" width="0.1302%" height="15" fill="rgb(253,114,12)" fg:x="721" fg:w="1"/><text x="94.1302%" y="287.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="93.8802%" y="261" width="0.1302%" height="15" fill="rgb(215,223,47)" fg:x="721" fg:w="1"/><text 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1.17%)</title><rect x="96.2240%" y="341" width="1.1719%" height="15" fill="rgb(226,80,48)" fg:x="739" fg:w="9"/><text x="96.4740%" y="351.50"></text></g><g><title>[unknown] (8 samples, 1.04%)</title><rect x="96.3542%" y="325" width="1.0417%" height="15" fill="rgb(238,224,15)" fg:x="740" fg:w="8"/><text x="96.6042%" y="335.50"></text></g><g><title>[unknown] (8 samples, 1.04%)</title><rect x="96.3542%" y="309" width="1.0417%" height="15" fill="rgb(241,136,10)" fg:x="740" fg:w="8"/><text x="96.6042%" y="319.50"></text></g><g><title>[unknown] (6 samples, 0.78%)</title><rect x="96.6146%" y="293" width="0.7812%" height="15" fill="rgb(208,32,45)" fg:x="742" fg:w="6"/><text x="96.8646%" y="303.50"></text></g><g><title>[unknown] (6 samples, 0.78%)</title><rect x="96.6146%" y="277" width="0.7812%" height="15" fill="rgb(207,135,9)" fg:x="742" fg:w="6"/><text x="96.8646%" y="287.50"></text></g><g><title>[unknown] (6 samples, 0.78%)</title><rect x="96.6146%" y="261" width="0.7812%" height="15" 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0.13%)</title><rect x="97.7865%" y="485" width="0.1302%" height="15" fill="rgb(226,211,11)" fg:x="751" fg:w="1"/><text x="98.0365%" y="495.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="97.7865%" y="469" width="0.1302%" height="15" fill="rgb(236,162,54)" fg:x="751" fg:w="1"/><text x="98.0365%" y="479.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="97.7865%" y="453" width="0.1302%" height="15" fill="rgb(220,229,9)" fg:x="751" fg:w="1"/><text x="98.0365%" y="463.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="97.7865%" y="437" width="0.1302%" height="15" fill="rgb(250,87,22)" fg:x="751" fg:w="1"/><text x="98.0365%" y="447.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="97.7865%" y="421" width="0.1302%" height="15" fill="rgb(239,43,17)" fg:x="751" fg:w="1"/><text x="98.0365%" y="431.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="97.7865%" y="405" width="0.1302%" height="15" 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0.13%)</title><rect x="98.0469%" y="341" width="0.1302%" height="15" fill="rgb(233,210,1)" fg:x="753" fg:w="1"/><text x="98.2969%" y="351.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="98.0469%" y="325" width="0.1302%" height="15" fill="rgb(244,137,37)" fg:x="753" fg:w="1"/><text x="98.2969%" y="335.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="98.0469%" y="309" width="0.1302%" height="15" fill="rgb(240,136,2)" fg:x="753" fg:w="1"/><text x="98.2969%" y="319.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="98.0469%" y="293" width="0.1302%" height="15" fill="rgb(239,18,37)" fg:x="753" fg:w="1"/><text x="98.2969%" y="303.50"></text></g><g><title>core::ptr::drop_in_place&lt;bachelorarbeit::App&gt; (1 samples, 0.13%)</title><rect x="98.1771%" y="485" width="0.1302%" height="15" fill="rgb(218,185,22)" fg:x="754" fg:w="1"/><text x="98.4271%" 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0.13%)</title><rect x="98.1771%" y="405" width="0.1302%" height="15" fill="rgb(234,209,42)" fg:x="754" fg:w="1"/><text x="98.4271%" y="415.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="98.1771%" y="389" width="0.1302%" height="15" fill="rgb(227,7,12)" fg:x="754" fg:w="1"/><text x="98.4271%" y="399.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="98.1771%" y="373" width="0.1302%" height="15" fill="rgb(245,203,43)" fg:x="754" fg:w="1"/><text x="98.4271%" y="383.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="98.1771%" y="357" width="0.1302%" height="15" fill="rgb(238,205,33)" fg:x="754" fg:w="1"/><text x="98.4271%" y="367.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="98.1771%" y="341" width="0.1302%" height="15" fill="rgb(231,56,7)" fg:x="754" fg:w="1"/><text x="98.4271%" y="351.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="98.1771%" y="325" width="0.1302%" height="15" fill="rgb(244,186,29)" fg:x="754" fg:w="1"/><text x="98.4271%" y="335.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="98.1771%" y="309" width="0.1302%" height="15" fill="rgb(234,111,31)" fg:x="754" fg:w="1"/><text x="98.4271%" y="319.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="98.1771%" y="293" width="0.1302%" height="15" fill="rgb(241,149,10)" fg:x="754" fg:w="1"/><text x="98.4271%" y="303.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="98.1771%" y="277" width="0.1302%" height="15" fill="rgb(249,206,44)" fg:x="754" fg:w="1"/><text x="98.4271%" y="287.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="98.1771%" y="261" width="0.1302%" height="15" fill="rgb(251,153,30)" fg:x="754" fg:w="1"/><text x="98.4271%" y="271.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="98.1771%" y="245" width="0.1302%" height="15" fill="rgb(239,152,38)" fg:x="754" fg:w="1"/><text x="98.4271%" 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0.78%)</title><rect x="98.3073%" y="293" width="0.7812%" height="15" fill="rgb(236,59,4)" fg:x="755" fg:w="6"/><text x="98.5573%" y="303.50"></text></g><g><title>[unknown] (6 samples, 0.78%)</title><rect x="98.3073%" y="277" width="0.7812%" height="15" fill="rgb(254,179,45)" fg:x="755" fg:w="6"/><text x="98.5573%" y="287.50"></text></g><g><title>[unknown] (6 samples, 0.78%)</title><rect x="98.3073%" y="261" width="0.7812%" height="15" fill="rgb(226,14,10)" fg:x="755" fg:w="6"/><text x="98.5573%" y="271.50"></text></g><g><title>[unknown] (6 samples, 0.78%)</title><rect x="98.3073%" y="245" width="0.7812%" height="15" fill="rgb(244,27,41)" fg:x="755" fg:w="6"/><text x="98.5573%" y="255.50"></text></g><g><title>[unknown] (6 samples, 0.78%)</title><rect x="98.3073%" y="229" width="0.7812%" height="15" fill="rgb(235,35,32)" fg:x="755" fg:w="6"/><text x="98.5573%" y="239.50"></text></g><g><title>[unknown] (6 samples, 0.78%)</title><rect x="98.3073%" y="213" width="0.7812%" height="15" fill="rgb(218,68,31)" fg:x="755" fg:w="6"/><text x="98.5573%" y="223.50"></text></g><g><title>bachelorarbeit (762 samples, 99.22%)</title><rect x="0.0000%" y="597" width="99.2188%" height="15" fill="rgb(207,120,37)" fg:x="0" fg:w="762"/><text x="0.2500%" y="607.50">bachelorarbeit</text></g><g><title>_start (12 samples, 1.56%)</title><rect x="97.6562%" y="581" width="1.5625%" height="15" fill="rgb(227,98,0)" fg:x="750" fg:w="12"/><text x="97.9062%" y="591.50"></text></g><g><title>_dl_start (1 samples, 0.13%)</title><rect x="99.0885%" y="565" width="0.1302%" height="15" fill="rgb(207,7,3)" fg:x="761" fg:w="1"/><text x="99.3385%" y="575.50"></text></g><g><title>_dl_start_final (1 samples, 0.13%)</title><rect x="99.0885%" y="549" width="0.1302%" height="15" fill="rgb(206,98,19)" fg:x="761" fg:w="1"/><text x="99.3385%" y="559.50"></text></g><g><title>_dl_sysdep_start (1 samples, 0.13%)</title><rect x="99.0885%" y="533" width="0.1302%" height="15" fill="rgb(217,5,26)" fg:x="761" 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0.13%)</title><rect x="99.0885%" y="357" width="0.1302%" height="15" fill="rgb(229,209,22)" fg:x="761" fg:w="1"/><text x="99.3385%" y="367.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="99.0885%" y="341" width="0.1302%" height="15" fill="rgb(234,138,34)" fg:x="761" fg:w="1"/><text x="99.3385%" y="351.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="99.0885%" y="325" width="0.1302%" height="15" fill="rgb(212,95,11)" fg:x="761" fg:w="1"/><text x="99.3385%" y="335.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="99.0885%" y="309" width="0.1302%" height="15" fill="rgb(240,179,47)" fg:x="761" fg:w="1"/><text x="99.3385%" y="319.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="99.0885%" y="293" width="0.1302%" height="15" fill="rgb(240,163,11)" fg:x="761" fg:w="1"/><text x="99.3385%" y="303.50"></text></g><g><title>[unknown] (1 samples, 0.13%)</title><rect x="99.0885%" y="277" width="0.1302%" height="15" 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y="431.50"></text></g><g><title>[unknown] (6 samples, 0.78%)</title><rect x="99.2188%" y="405" width="0.7812%" height="15" fill="rgb(206,91,31)" fg:x="762" fg:w="6"/><text x="99.4688%" y="415.50"></text></g><g><title>[unknown] (5 samples, 0.65%)</title><rect x="99.3490%" y="389" width="0.6510%" height="15" fill="rgb(211,154,13)" fg:x="763" fg:w="5"/><text x="99.5990%" y="399.50"></text></g><g><title>[unknown] (5 samples, 0.65%)</title><rect x="99.3490%" y="373" width="0.6510%" height="15" fill="rgb(225,148,7)" fg:x="763" fg:w="5"/><text x="99.5990%" y="383.50"></text></g><g><title>[unknown] (5 samples, 0.65%)</title><rect x="99.3490%" y="357" width="0.6510%" height="15" fill="rgb(220,160,43)" fg:x="763" fg:w="5"/><text x="99.5990%" y="367.50"></text></g><g><title>[unknown] (5 samples, 0.65%)</title><rect x="99.3490%" y="341" width="0.6510%" height="15" fill="rgb(213,52,39)" fg:x="763" fg:w="5"/><text x="99.5990%" y="351.50"></text></g><g><title>[unknown] (5 samples, 0.65%)</title><rect 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5.36%)</title><rect x="39.2857%" y="341" width="5.3571%" height="15" fill="rgb(225,111,53)" fg:x="44" fg:w="6"/><text x="39.5357%" y="351.50">[unknow..</text></g><g><title>[unknown] (6 samples, 5.36%)</title><rect x="39.2857%" y="325" width="5.3571%" height="15" fill="rgb(238,160,17)" fg:x="44" fg:w="6"/><text x="39.5357%" y="335.50">[unknow..</text></g><g><title>[unknown] (6 samples, 5.36%)</title><rect x="39.2857%" y="309" width="5.3571%" height="15" fill="rgb(214,148,48)" fg:x="44" fg:w="6"/><text x="39.5357%" y="319.50">[unknow..</text></g><g><title>[unknown] (6 samples, 5.36%)</title><rect x="39.2857%" y="293" width="5.3571%" height="15" fill="rgb(232,36,49)" fg:x="44" fg:w="6"/><text x="39.5357%" y="303.50">[unknow..</text></g><g><title>[unknown] (6 samples, 5.36%)</title><rect x="39.2857%" y="277" width="5.3571%" height="15" fill="rgb(209,103,24)" fg:x="44" fg:w="6"/><text x="39.5357%" y="287.50">[unknow..</text></g><g><title>[unknown] (6 samples, 5.36%)</title><rect 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fill="rgb(208,69,12)" fg:x="49" fg:w="1"/><text x="44.0000%" y="111.50"></text></g><g><title>[unknown] (1 samples, 0.89%)</title><rect x="43.7500%" y="85" width="0.8929%" height="15" fill="rgb(235,93,37)" fg:x="49" fg:w="1"/><text x="44.0000%" y="95.50"></text></g><g><title>[unknown] (1 samples, 0.89%)</title><rect x="43.7500%" y="69" width="0.8929%" height="15" fill="rgb(213,116,39)" fg:x="49" fg:w="1"/><text x="44.0000%" y="79.50"></text></g><g><title>[unknown] (1 samples, 0.89%)</title><rect x="43.7500%" y="53" width="0.8929%" height="15" fill="rgb(222,207,29)" fg:x="49" fg:w="1"/><text x="44.0000%" y="63.50"></text></g><g><title>[unknown] (1 samples, 0.89%)</title><rect x="43.7500%" y="37" width="0.8929%" height="15" fill="rgb(206,96,30)" fg:x="49" fg:w="1"/><text x="44.0000%" y="47.50"></text></g><g><title>rayon::iter::plumbing::bridge_producer_consumer::helper (14 samples, 12.50%)</title><rect x="44.6429%" y="485" width="12.5000%" height="15" fill="rgb(218,138,4)" fg:x="50" 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(1 samples, 0.89%)</title><rect x="62.5000%" y="517" width="0.8929%" height="15" fill="rgb(233,208,19)" fg:x="70" fg:w="1"/><text x="62.7500%" y="527.50"></text></g><g><title>[unknown] (1 samples, 0.89%)</title><rect x="62.5000%" y="501" width="0.8929%" height="15" fill="rgb(216,164,2)" fg:x="70" fg:w="1"/><text x="62.7500%" y="511.50"></text></g><g><title>[unknown] (1 samples, 0.89%)</title><rect x="62.5000%" y="485" width="0.8929%" height="15" fill="rgb(220,129,5)" fg:x="70" fg:w="1"/><text x="62.7500%" y="495.50"></text></g><g><title>[unknown] (1 samples, 0.89%)</title><rect x="62.5000%" y="469" width="0.8929%" height="15" fill="rgb(242,17,10)" fg:x="70" fg:w="1"/><text x="62.7500%" y="479.50"></text></g><g><title>[unknown] (1 samples, 0.89%)</title><rect x="62.5000%" y="453" width="0.8929%" height="15" fill="rgb(242,107,0)" fg:x="70" fg:w="1"/><text x="62.7500%" y="463.50"></text></g><g><title>[unknown] (1 samples, 0.89%)</title><rect x="62.5000%" y="437" width="0.8929%" 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x="94.8929%" y="463.50"></text></g><g><title>_dl_catch_exception (1 samples, 0.89%)</title><rect x="94.6429%" y="437" width="0.8929%" height="15" fill="rgb(231,13,6)" fg:x="106" fg:w="1"/><text x="94.8929%" y="447.50"></text></g><g><title>openaux (1 samples, 0.89%)</title><rect x="94.6429%" y="421" width="0.8929%" height="15" fill="rgb(207,181,40)" fg:x="106" fg:w="1"/><text x="94.8929%" y="431.50"></text></g><g><title>_dl_map_object (1 samples, 0.89%)</title><rect x="94.6429%" y="405" width="0.8929%" height="15" fill="rgb(254,173,49)" fg:x="106" fg:w="1"/><text x="94.8929%" y="415.50"></text></g><g><title>_dl_map_object_from_fd (1 samples, 0.89%)</title><rect x="94.6429%" y="389" width="0.8929%" height="15" fill="rgb(221,1,38)" fg:x="106" fg:w="1"/><text x="94.8929%" y="399.50"></text></g><g><title>elf_get_dynamic_info (1 samples, 0.89%)</title><rect x="94.6429%" y="373" width="0.8929%" height="15" fill="rgb(206,124,46)" fg:x="106" fg:w="1"/><text x="94.8929%" 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x="94.6429%" y="277" width="0.8929%" height="15" fill="rgb(239,76,54)" fg:x="106" fg:w="1"/><text x="94.8929%" y="287.50"></text></g><g><title>[unknown] (1 samples, 0.89%)</title><rect x="94.6429%" y="261" width="0.8929%" height="15" fill="rgb(231,124,27)" fg:x="106" fg:w="1"/><text x="94.8929%" y="271.50"></text></g><g><title>[unknown] (1 samples, 0.89%)</title><rect x="94.6429%" y="245" width="0.8929%" height="15" fill="rgb(249,195,6)" fg:x="106" fg:w="1"/><text x="94.8929%" y="255.50"></text></g><g><title>[unknown] (1 samples, 0.89%)</title><rect x="94.6429%" y="229" width="0.8929%" height="15" fill="rgb(237,174,47)" fg:x="106" fg:w="1"/><text x="94.8929%" y="239.50"></text></g><g><title>[unknown] (1 samples, 0.89%)</title><rect x="94.6429%" y="213" width="0.8929%" height="15" fill="rgb(206,201,31)" fg:x="106" fg:w="1"/><text x="94.8929%" y="223.50"></text></g><g><title>[unknown] (1 samples, 0.89%)</title><rect x="94.6429%" y="197" width="0.8929%" height="15" fill="rgb(231,57,52)" fg:x="106" fg:w="1"/><text x="94.8929%" y="207.50"></text></g><g><title>[unknown] (1 samples, 0.89%)</title><rect x="94.6429%" y="181" width="0.8929%" height="15" fill="rgb(248,177,22)" fg:x="106" fg:w="1"/><text x="94.8929%" y="191.50"></text></g><g><title>[unknown] (1 samples, 0.89%)</title><rect x="94.6429%" y="165" width="0.8929%" height="15" fill="rgb(215,211,37)" fg:x="106" fg:w="1"/><text x="94.8929%" y="175.50"></text></g><g><title>[unknown] (1 samples, 0.89%)</title><rect x="94.6429%" y="149" width="0.8929%" height="15" fill="rgb(241,128,51)" fg:x="106" fg:w="1"/><text x="94.8929%" y="159.50"></text></g><g><title>all (112 samples, 100%)</title><rect x="0.0000%" y="565" width="100.0000%" height="15" fill="rgb(227,165,31)" fg:x="0" fg:w="112"/><text x="0.2500%" y="575.50"></text></g><g><title>perf-exec (5 samples, 4.46%)</title><rect x="95.5357%" y="549" width="4.4643%" height="15" fill="rgb(228,167,24)" fg:x="107" fg:w="5"/><text x="95.7857%" y="559.50">perf-..</text></g><g><title>[unknown] (5 samples, 4.46%)</title><rect x="95.5357%" y="533" width="4.4643%" height="15" fill="rgb(228,143,12)" fg:x="107" fg:w="5"/><text x="95.7857%" y="543.50">[unkn..</text></g><g><title>[unknown] (5 samples, 4.46%)</title><rect x="95.5357%" y="517" width="4.4643%" height="15" fill="rgb(249,149,8)" fg:x="107" fg:w="5"/><text x="95.7857%" y="527.50">[unkn..</text></g><g><title>[unknown] (5 samples, 4.46%)</title><rect x="95.5357%" y="501" width="4.4643%" height="15" fill="rgb(243,35,44)" fg:x="107" fg:w="5"/><text x="95.7857%" y="511.50">[unkn..</text></g><g><title>[unknown] (5 samples, 4.46%)</title><rect x="95.5357%" y="485" width="4.4643%" height="15" fill="rgb(246,89,9)" fg:x="107" fg:w="5"/><text x="95.7857%" y="495.50">[unkn..</text></g><g><title>[unknown] (5 samples, 4.46%)</title><rect x="95.5357%" y="469" width="4.4643%" height="15" fill="rgb(233,213,13)" fg:x="107" fg:w="5"/><text x="95.7857%" y="479.50">[unkn..</text></g><g><title>[unknown] (5 samples, 4.46%)</title><rect x="95.5357%" y="453" width="4.4643%" height="15" fill="rgb(233,141,41)" fg:x="107" fg:w="5"/><text x="95.7857%" y="463.50">[unkn..</text></g><g><title>[unknown] (5 samples, 4.46%)</title><rect x="95.5357%" y="437" width="4.4643%" height="15" fill="rgb(239,167,4)" fg:x="107" fg:w="5"/><text x="95.7857%" y="447.50">[unkn..</text></g><g><title>[unknown] (5 samples, 4.46%)</title><rect x="95.5357%" y="421" width="4.4643%" height="15" fill="rgb(209,217,16)" fg:x="107" fg:w="5"/><text x="95.7857%" y="431.50">[unkn..</text></g><g><title>[unknown] (5 samples, 4.46%)</title><rect x="95.5357%" y="405" width="4.4643%" height="15" fill="rgb(219,88,35)" fg:x="107" fg:w="5"/><text x="95.7857%" y="415.50">[unkn..</text></g><g><title>[unknown] (5 samples, 4.46%)</title><rect x="95.5357%" y="389" width="4.4643%" height="15" fill="rgb(220,193,23)" fg:x="107" fg:w="5"/><text x="95.7857%" y="399.50">[unkn..</text></g><g><title>[unknown] (5 samples, 4.46%)</title><rect x="95.5357%" y="373" width="4.4643%" height="15" fill="rgb(230,90,52)" fg:x="107" fg:w="5"/><text x="95.7857%" y="383.50">[unkn..</text></g><g><title>[unknown] (5 samples, 4.46%)</title><rect x="95.5357%" y="357" width="4.4643%" height="15" fill="rgb(252,106,19)" fg:x="107" fg:w="5"/><text x="95.7857%" y="367.50">[unkn..</text></g><g><title>[unknown] (5 samples, 4.46%)</title><rect x="95.5357%" y="341" width="4.4643%" height="15" fill="rgb(206,74,20)" fg:x="107" fg:w="5"/><text x="95.7857%" y="351.50">[unkn..</text></g><g><title>[unknown] (5 samples, 4.46%)</title><rect x="95.5357%" y="325" width="4.4643%" height="15" fill="rgb(230,138,44)" fg:x="107" fg:w="5"/><text x="95.7857%" y="335.50">[unkn..</text></g><g><title>[unknown] (5 samples, 4.46%)</title><rect x="95.5357%" y="309" width="4.4643%" height="15" fill="rgb(235,182,43)" fg:x="107" fg:w="5"/><text x="95.7857%" 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\ No newline at end of file
diff --git a/bachelorarbeit/perf.data b/bachelorarbeit/perf.data
index 0f95457..afe4925 100644
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diff --git a/bachelorarbeit/perf.data.old b/bachelorarbeit/perf.data.old
new file mode 100644
index 0000000..89d58bf
Binary files /dev/null and b/bachelorarbeit/perf.data.old differ
diff --git a/bachelorarbeit/plotter.py b/bachelorarbeit/plotter.py
new file mode 100644
index 0000000..8a8c7c4
--- /dev/null
+++ b/bachelorarbeit/plotter.py
@@ -0,0 +1,125 @@
+import numpy as np
+import matplotlib.pyplot as plt
+import scienceplots
+
+i = 1
+
+names = [
+    "omnes_integrand",
+    "omnes_integrand_zoom",
+    "omnes_integrand_tan",
+    "phi0_integrand",
+    "phi0_integrand_zoom",
+    "phi0_integrand_tan",
+    "delta",
+    "omnes",
+    "phi0",
+    "phi0_delta_rel_diff",
+]
+
+files = [open("exports/" + n + ".txt") for n in names]
+
+export_filenames = ["figures/" + n + ".png" for n in names]
+
+titles = [
+    r"$\frac{\delta_1^1(s') - \delta_1^1(s)}{s'(s'-s)}$, $\sqrt{s}=1$ GeV",
+    r"$\frac{\delta_1^1(s') - \delta_1^1(s)}{s'(s'-s)}$, $\sqrt{s}=1$ GeV",
+    r"$\frac{1}{\cos^2(u)}\frac{\delta_1^1(\tan{u}) - \delta_1^1(s)}{\tan{u}(\tan{u}-s)}$, $\sqrt{s}=1$ GeV",
+    r"$\frac{\ln{|\frac{F(s')}{F(s)}|^2}}{(x^2+s_0)(x^2+s_0-s)}$, $\sqrt{s}=1$ GeV",
+    r"$\frac{\ln{|\frac{F(s')}{F(s)}|^2}}{(x^2+s_0)(x^2+s_0-s)}$, $\sqrt{s}=1$ GeV",
+    r"$\frac{1}{\cos^2(u)}\frac{\ln{|\frac{F(\tan^2{u}+s_0)}{F(s)}|^2}}{(\tan^2{u}+s_0)(\tan^2{u}+s_0-s)}$, $\sqrt{s}=1$ GeV",
+    "",
+    "",
+    "",
+    "",
+]
+
+xlabels = [
+    r"$\sqrt{s}$ [GeV]",
+    r"$\sqrt{s}$ [GeV]",
+    r"$u$",
+    r"$x$",
+    r"$x$",
+    r"$u$",
+    r"$\sqrt{s}$ [GeV]",
+    r"$\sqrt{s}$ [GeV]",
+    r"$\sqrt{s}$ [GeV]",
+    r"$\sqrt{s}$ [GeV]",
+]
+
+ylabels = [
+    r"integrand",
+    r"integrand",
+    r"integrand",
+    r"integrand",
+    r"integrand",
+    r"integrand",
+    r"$\delta_1^1(s)$",
+    r"$|\Omega(s)|^2$",
+    r"$\phi_0(s)$",
+    r"$\frac{\phi_0(s)}{\delta_1^1(s)}$",
+]
+
+y_logarithmic = [
+    False,
+    False,
+    False,
+    False,
+    False,
+    False,
+    False,
+    True,
+    False,
+    False,
+]
+
+x_sqrt = [
+    True,
+    True,
+    False,
+    False,
+    False,
+    False,
+    True,
+    True,
+    True,
+    True,
+]
+
+for i in range(len(names)):
+    print(i)
+    plt.figure()
+    filecont = []
+    for line in files[i]:
+        filecont.append(line.split(','))
+
+    data = []
+    for curve in filecont:
+        curve_numbers = []
+        for val in curve:
+            try:
+                curve_numbers.append(float(val))
+            except ValueError:
+                continue
+        if x_sqrt[i]:
+            curve_numbers_paired = np.array([[x**0.5 for x in curve_numbers[0::2]], curve_numbers[1::2]])
+        else:
+            curve_numbers_paired = np.array([curve_numbers[0::2], curve_numbers[1::2]])
+        data.append(curve_numbers_paired)
+
+    # Plotting
+
+    plt.style.use(['science'])
+
+    plt.figure(figsize=(4,3))
+    plt.title(titles[i], fontsize = 15)
+    if y_logarithmic[i]:
+        plt.yscale('log')
+    for j in range(len(data)):
+        plt.plot(data[j][0], data[j][1])
+    plt.xlabel(xlabels[i], fontsize = 12)
+    plt.ylabel(ylabels[i], fontsize = 12)
+    plt.grid(which='major', color='#000000', linestyle='-', alpha = 0.3)
+    plt.grid(which='minor', color='#000000', linestyle='-', alpha=0.1)
+    plt.savefig(export_filenames[i], dpi=400)
+    plt.close()
diff --git a/bachelorarbeit/src/calc.rs b/bachelorarbeit/src/calc.rs
index f752319..cc1079e 100644
--- a/bachelorarbeit/src/calc.rs
+++ b/bachelorarbeit/src/calc.rs
@@ -13,18 +13,18 @@ use crate::gq_storage;
 
 pub type Complex = num::complex::Complex<f64>;
 
-const M_ROH: f64 = 0.7736;
-const M_PI: f64 = 0.13957;
+pub const M_ROH: f64 = 0.7736;
+pub const M_PI: f64 = 0.13957;
 pub const S0: f64 = 4.0 * M_PI * M_PI;
-const M_K: f64 = 0.496;
-const B0: f64 = 1.055;
-const B1: f64 = 0.15;
-const LAMBDA1: f64 = 1.57;
-const LAMBDA2: f64 = -1.96;
-const LAMBDA_HIGH: f64 = 10.0;
+pub const M_K: f64 = 0.496;
+pub const B0: f64 = 1.055;
+pub const B1: f64 = 0.15;
+pub const LAMBDA1: f64 = 1.57;
+pub const LAMBDA2: f64 = -1.96;
+pub const LAMBDA_HIGH: f64 = 10.0;
 pub const EPSILON: f64 = 1e-15;
-const S_MID_CUTOFF: f64 = 1.42 * 1.42;
-const INF: f64 = 1e6;
+pub const S_MID_CUTOFF: f64 = 1.42;
+pub const INF: f64 = 1e6;
 
 #[derive(Default)]
 pub struct Cache {
@@ -105,12 +105,8 @@ impl Cache {
 
 // derivated values
 
-fn lambda_0() -> f64 {
-    delta((2.0 * M_K).powi(2))
-}
-
-fn delta_mid_cutoff() -> f64 {
-    delta(S_MID_CUTOFF)
+fn lambda_0(cache: &Cache) -> f64 {
+    delta_with_lut(cache, (2.0 * M_K).powi(2))
 }
 
 fn atan_shift(x: f64) -> f64 {
@@ -133,7 +129,6 @@ fn integrate<G: Fn(f64) -> f64 + Send + Sync>(
     if roots.len() != weights.len() {
         panic!("Error: roots and weights are of different length");
     }
-    println!("Calculating single integration: ");
     let prog = indicatif::ProgressBar::new(roots.len() as u64);
     let prog_ = prog.clone();
     let sum:f64 = (weights.par_iter(), roots.par_iter()).into_par_iter().map(move |(weight,root)| {
@@ -183,30 +178,69 @@ fn k(s: f64) -> f64 {
 }
 
 pub fn delta_with_lut(cache: &Cache, s: f64) -> f64 {
-    // println!("delta_with_lut");
     match cache.delta_lut.get(&s.to_bits()) {
         Some(val) => *val,
         None => {
-            let val = delta(s);
+            let val = delta(cache, s);
             let _ = cache.delta_lut.insert(s.to_bits(), val);
             val
         }
     }
 }
 
-pub fn delta(s: f64) -> f64 {
-    if s <= 2.0 * M_K {
+
+
+const BLEND_RANGE: f64 = 0.1;
+
+#[allow(unused)]
+pub fn delta_low(cache: &Cache, s: f64) -> f64 {
+    atan_shift(
+        (s.sqrt() / (2.0 * k(s).powi(3))
+            * (M_ROH.powi(2) - s)
+            * ((2.0 * M_PI.powi(3)) / (M_ROH.powi(2) * s.sqrt()) + B0 + B1 * omega(s)))
+        .powi(-1),
+    )
+}
+
+#[allow(unused)]
+pub fn delta_mid(cache: &Cache, s: f64) -> f64 {
+    let par = 0.5 * s.sqrt() / M_K - 1.0;
+    lambda_0(cache) + LAMBDA1 * par + LAMBDA2 * par.powi(2)
+}
+
+#[allow(unused)]
+pub fn delta_high(cache: &Cache, s: f64) -> f64 {
+    PI + (delta(cache, S_MID_CUTOFF.powi(2)) - PI) * (LAMBDA_HIGH * LAMBDA_HIGH + S_MID_CUTOFF)
+        / (LAMBDA_HIGH * LAMBDA_HIGH + s)
+}
+
+#[allow(unused)]
+pub fn delta_blend(cache: &Cache, s: f64) -> f64 {
+    if (s - 4.0*M_K.powi(2)).abs() < BLEND_RANGE {
+        let t = (s - 4.0*M_K.powi(2) + BLEND_RANGE) / (2.0*BLEND_RANGE);
+        (1.0 - t) * delta_low(cache, s) + t * delta_mid(cache, s)
+    } else if (s - S_MID_CUTOFF.powi(2)).abs() < BLEND_RANGE {
+        let t = (s - S_MID_CUTOFF.powi(2) + BLEND_RANGE) / (2.0*BLEND_RANGE);
+        (1.0 - t) * delta_mid(cache, s) + t * delta_high(cache, s)
+    } else {
+        delta(cache, s)
+    }
+}
+
+fn delta(cache: &Cache, s: f64) -> f64 {
+    let s_sqrt = s.sqrt();
+    if s <= 4.0 * M_K.powi(2) {
         atan_shift(
-            (s.sqrt() / (2.0 * k(s).powi(3))
+            (s_sqrt / (2.0 * k(s).powi(3))
                 * (M_ROH.powi(2) - s)
-                * ((2.0 * M_PI.powi(3)) / (M_ROH.powi(2) * s.sqrt()) + B0 + B1 * omega(s)))
+                * ((2.0 * M_PI.powi(3)) / (M_ROH.powi(2) * s_sqrt) + B0 + B1 * omega(s)))
             .powi(-1),
         )
-    } else if s <= S_MID_CUTOFF {
-        let par = 0.5 * s.sqrt() / M_K - 1.0;
-        lambda_0() + LAMBDA1 * par + LAMBDA2 * par.powi(2)
+    } else if s <= S_MID_CUTOFF.powi(2) {
+        let par = 0.5 * s_sqrt / M_K - 1.0;
+        lambda_0(cache) + LAMBDA1 * par + LAMBDA2 * par.powi(2)
     } else {
-        PI + (delta_mid_cutoff() - PI) * (LAMBDA_HIGH * LAMBDA_HIGH + S_MID_CUTOFF)
+        PI + (delta_with_lut(cache, S_MID_CUTOFF.powi(2)) - PI) * (LAMBDA_HIGH * LAMBDA_HIGH + S_MID_CUTOFF)
             / (LAMBDA_HIGH * LAMBDA_HIGH + s)
     }
 }
@@ -218,13 +252,11 @@ pub fn omnes_integrand_tan(cache: &Cache, s_tick: f64, s: f64) -> Complex {
 }
 
 pub fn omnes_integrand_notan(cache: &Cache, s_tick: f64, s: f64) -> Complex {
-    // println!("omnes_integrand_notan");
     (delta_with_lut(cache, s_tick) - delta_with_lut(cache, s))
         / (s_tick * (s_tick - s + Complex::new(0.0, EPSILON)))
 }
 
 pub fn omnes(cache: &Cache, s: f64, n: u32, use_tan: bool) -> Complex {
-    // println!("Omnes");
     if let Some(inner_lut) = cache.omnes_lut.get(&n) {
         if let Some(res) = inner_lut.get(&s.to_bits()) {
             return *res;
@@ -236,24 +268,20 @@ pub fn omnes(cache: &Cache, s: f64, n: u32, use_tan: bool) -> Complex {
             .insert(n, DashMap::with_hasher(Default::default()));
     }
 
-    // println!("Retrieving roots and weights omnes");
     let roots: Arc<[f64]>;
     let weights: Arc<[f64]>;
     match cache.gauss_quad_lut.get(&n) {
         Some(gq_values) => {
-            // println!("Somobomo");
             roots = Arc::clone(&gq_values.0);
             weights = Arc::clone(&gq_values.1);
         }
         None => {
-            // println!("Nononono");
             let gq_values = GaussLegendre::nodes_and_weights(n.try_into().unwrap());
             roots = Arc::from(gq_values.0.as_slice());
             weights = Arc::from(gq_values.1.as_slice());
         }
     }
 
-    // println!("will maybe calc n_omnes");
     if !cache.gauss_quad_lut.contains_key(&n) {
         println!("n_omnes={} is not included in the lookup file. Consider generating a new lookup file via the appropriate function in gq_storage.rs", n);
         let gq_values = GaussLegendre::nodes_and_weights(n.try_into().unwrap());
@@ -262,7 +290,6 @@ pub fn omnes(cache: &Cache, s: f64, n: u32, use_tan: bool) -> Complex {
             .insert(n, (Arc::from(gq_values.0), Arc::from(gq_values.1)));
     }
 
-    // println!("Will calculate integrate complex");
     let intgrl = if use_tan {
         integrate_complex(&roots, &weights, S0.atan(), PI / 2.0, |s_tick| {
             omnes_integrand_tan(cache, s_tick, s)
@@ -297,21 +324,14 @@ pub fn phi0_integrand(
     cutoff_s: f64,
     cutoff_factor: Complex,
 ) -> f64 {
-    // println!("phi0_integrand");
     let sub = match (use_tan_phi0, use_xsub) {
         (true, true) => s_tick.tan().powi(2) + S0,
         (true, false) => s_tick.tan(),
         (false, true) => s_tick.powi(2) + S0,
         (false, false) => s_tick,
     };
-    // let omnes_s = if use_cutoff && s >= cutoff_s {
-    //     cutoff_factor * s.powf(cutoff_power)
-    // } else {
-    //     omnes(cache, s, n_omnes, use_tan_omnes)
-    // };
     let omnes_sub = if use_cutoff && sub >= cutoff_s {
         cutoff_factor * sub.powf(cutoff_power)
-        // Complex::new((0.00002f64).powf(cutoff_power), 0.0)
     } else {
         omnes(cache, sub, n_omnes, use_tan_omnes)
     };
@@ -340,7 +360,6 @@ pub fn phi0(
     cutoff_power: f64,
     cutoff_s: f64
 ) -> f64 {
-    // println!("phi0");
     if !cache.gauss_quad_lut.contains_key(&n_phi0) {
         let gq_values = GaussLegendre::nodes_and_weights(n_phi0.try_into().unwrap());
         let _ = cache
@@ -353,14 +372,13 @@ pub fn phi0(
         (Arc::clone(&ent.0), Arc::clone(&ent.1))
     };
 
-    // println!("Will run omnes");
     let analyt = if use_reduced_integrand {
-        omnes(cache, s, n_omnes, use_tan_omnes).norm().ln() / S0.sqrt()
-    } else {
         (omnes(cache, s, n_omnes, use_tan_omnes) / omnes(cache, S0, n_omnes, use_tan_omnes))
             .norm()
             .ln()
             / (s * (s - S0).powf(1.5))
+    } else {
+        omnes(cache, s, n_omnes, use_tan_omnes).norm().ln() / S0.sqrt()
     };
 
     let cutoff_factor = omnes(cache, cutoff_s, n_omnes, use_tan_omnes) * cutoff_s.powf(-cutoff_power);
diff --git a/bachelorarbeit/src/main.rs b/bachelorarbeit/src/main.rs
index 1f04f0d..66bc7f1 100644
--- a/bachelorarbeit/src/main.rs
+++ b/bachelorarbeit/src/main.rs
@@ -4,10 +4,12 @@
 
 use indicatif;
 use std::time::Instant;
+use std::fs;
+use core::f64::consts::PI;
 
 use egui_plot::{log_grid_spacer, AxisHints, GridInput, GridMark, Legend, Line, Plot};
 use num::{complex::ComplexFloat, Float};
-
+use eframe::Theme;
 // use scc::HashMap;
 
 mod calc;
@@ -15,7 +17,7 @@ mod gq_storage;
 
 struct App {
     plot_data: Vec<PlotCurve>,
-    plots_available: [String; 7],
+    plots_available: [String; 9],
     calc_cache: calc::Cache,
     scaling_type: ScalingType,
     a: f64,
@@ -30,6 +32,7 @@ struct App {
     use_cutoff: bool,
     cutoff_power: f64,
     cutoff_s: f64,
+    export_filename: String,
 }
 
 #[derive(Clone)]
@@ -48,27 +51,31 @@ impl Default for App {
                 "Phi0".to_string(),
                 "Phi0 / delta".to_string(),
                 "s^cutoff_power".to_string(),
+                "Omnes integrand".to_string(),
                 "phi0 integrand".to_string(),
                 "Phi0_cut / Phi0".to_string(),
+                "Phi0 / delta".to_string(),
             ],
             calc_cache: calc::Cache::default(),
             scaling_type: ScalingType::default(),
             a: calc::S0,
             b: 9.0,
-            n_points: 500,
-            n_omnes: 500,
-            n_phi0: 500,
+            n_points:2500,
+            n_omnes:2500,
+            n_phi0:2500,
             
             // Substitutions params
             use_tan_omnes: true,
             use_tan_phi0: true,
             use_xsub_phi0: true,
-            use_reduced_integrand: true,
+            use_reduced_integrand: false,
 
             // Cutoff params
             use_cutoff: false,
             cutoff_power: -1.0,
             cutoff_s: 100.0, 
+
+            export_filename: "plot_data".to_string(),
         }
     }
 }
@@ -83,6 +90,7 @@ enum ScalingType {
 impl eframe::App for App {
     fn update(&mut self, ctx: &egui::Context, _frame: &mut eframe::Frame) {
         egui::CentralPanel::default().show(ctx, |ui| {
+            ui.set_min_width(ui.available_width());
             let cur_scaling_type = self.scaling_type;
 
             ui.vertical(|ui| {
@@ -97,12 +105,20 @@ impl eframe::App for App {
                                     "the lower bound of the interval that functions are calculated in",
                                 );
                                 float_text_edit_singleline(ui, &mut self.a, true);
+                                let seta_pi2 = ui.button("S0");
+                                if seta_pi2.clicked() {
+                                    self.a = calc::S0;
+                                }
                                 ui.end_row();
 
                                 ui.label("calc interval end:").on_hover_text(
                                     "the upper bound of the interval that functions are calculated in",
                                 );
                                 float_text_edit_singleline(ui, &mut self.b, true);
+                                let setb_pi2 = ui.button("pi/2");
+                                if setb_pi2.clicked() {
+                                    self.b = 1.5707963268;
+                                }
                                 ui.end_row();
 
                                 ui.label("N for omnes:").on_hover_text(
@@ -180,6 +196,25 @@ impl eframe::App for App {
                             float_text_edit_singleline(ui, &mut self.cutoff_s, true);
                             ui.end_row();
                         });
+                        let textedit = egui::TextEdit::singleline(&mut self.export_filename);
+                        ui.add(textedit);
+                        let button_export = ui.button("Export data");
+                        if button_export.clicked() {
+                            let mut plot_data_str = String::new();
+                            for curve in &mut self.plot_data {
+                                for point in &mut curve.points {
+                                    plot_data_str.push_str(&point[0].to_string());
+                                    plot_data_str.push_str(",");
+                                    plot_data_str.push_str(&point[1].to_string());
+                                    plot_data_str.push_str(",");
+                                }
+                                plot_data_str.push_str("\n");
+                            }
+                            let mut filename = "./exports/".to_owned();
+                            filename.push_str(&self.export_filename);
+                            filename.push_str(".txt");
+                            fs::write(filename, plot_data_str).expect("Unable to write file");
+                        }
                     })
                 });
 
@@ -199,76 +234,52 @@ impl eframe::App for App {
                                 .collect();
                             match i {
                                 0 => {
-                                    let y_values_delta: Vec<f64> = if self.scaling_type
-                                        == ScalingType::Linear
-                                    {
-                                        x_values
-                                            .iter()
-                                            .map(|&x| calc::delta_with_lut(&mut self.calc_cache, x))
-                                            .collect()
-                                    } else {
-                                        x_values
-                                            .iter()
-                                            .map(|&x| {
-                                                calc::delta_with_lut(&mut self.calc_cache, x)
-                                                    .log10()
-                                            })
-                                            .collect()
-                                    };
+                                    let y_values: Vec<f64> = x_values.iter().map(|&x| {
+                                        let val = calc::delta_with_lut(&mut self.calc_cache, x);
+                                        match self.scaling_type {
+                                            ScalingType::Linear => {
+                                                val
+                                            }
+                                            ScalingType::Logarithmic => {
+                                                val.log10()
+                                            }
+                                        }
+                                    }).collect();
 
                                     self.plot_data.push(PlotCurve {
                                         points: x_values
                                             .iter()
-                                            .zip(y_values_delta.iter())
-                                            .map(|(&x, &y)| [x.powf(0.5), y])
+                                            .zip(y_values.iter())
+                                            .map(|(&x, &y)| [x, y])
                                             .collect(),
                                         name: format!("(#{}) Delta", self.plot_data.len() + 1),
-                                    })
+                                    });
                                 }
                                 1 => {
-                                    let y_values_omnes: Vec<f64> = if self.scaling_type
-                                        == ScalingType::Linear
-                                    {
-                                        print!("Calculating all plot points: ");
-                                        let bar =
-                                            indicatif::ProgressBar::new(u64::from(self.n_points));
-                                        let res = x_values
-                                            .iter()
-                                            .map(|&x| {
-                                                bar.inc(1);
-                                                calc::omnes(
-                                                    &mut self.calc_cache,
-                                                    x,
-                                                    self.n_omnes,
-                                                    self.use_tan_omnes,
-                                                )
-                                                .abs()
-                                                .powi(2)
-                                            })
-                                            .collect();
-                                        bar.finish();
-                                        res
-                                    } else {
-                                        x_values
-                                            .iter()
-                                            .map(|&x| {
-                                                calc::omnes(
-                                                    &mut self.calc_cache,
-                                                    x,
-                                                    self.n_omnes,
-                                                    self.use_tan_omnes,
-                                                )
-                                                .abs()
-                                                .powi(2)
-                                                .log10()
-                                            })
-                                            .collect()
-                                    };
+                                    let cutoff_factor = calc::omnes(&mut self.calc_cache, self.cutoff_s, self.n_omnes, self.use_tan_omnes) * self.cutoff_s;
+
+                                    let y_values: Vec<f64> = x_values.iter().map(|&x| {
+                                       let val = calc::omnes(
+                                            &mut self.calc_cache,
+                                            x,
+                                            self.n_omnes,
+                                            self.use_tan_omnes,
+                                        ).abs().powi(2);
+                                        match self.scaling_type {
+                                            ScalingType::Linear => {
+                                                val
+                                            }
+                                            ScalingType::Logarithmic => {
+                                                val.log10()
+                                            }
+                                        }
+                                    }).collect();
+
                                     self.plot_data.push(PlotCurve {
                                         points: x_values
                                             .iter()
-                                            .zip(y_values_omnes.iter())
-                                            .map(|(&x, &y)| [x.powf(0.5), y])
+                                            .zip(y_values.iter())
+                                            .map(|(&x, &y)| [x, y])
                                             .collect(),
                                         name: format!(
                                             "(#{}) Omnes, {} ot, n_o={}",
@@ -318,7 +329,7 @@ impl eframe::App for App {
                                         points: x_values
                                             .iter()
                                             .zip(y_values_phi0.iter())
-                                            .map(|(&x, &y)| [x.powf(0.5), y])
+                                            .map(|(&x, &y)| [x, y])
                                             .collect(),
                                         name: format!(
                                             "(#{}) phi0, {} ot, {} pt, {} ss, n_o={}, n_p={}",
@@ -333,10 +344,13 @@ impl eframe::App for App {
                                 }
                                 3 => {
                                     let y_values_phi0: Vec<f64> = {
+                                        let bar =
+                                            indicatif::ProgressBar::new(u64::from(self.n_points));
+                                        let t0 = Instant::now();
                                         x_values
                                             .iter()
                                             .map(|&x| {
-                                                let val = calc::phi0(
+                                                        let val = calc::phi0(
                                                     &mut self.calc_cache,
                                                     x,
                                                     self.n_omnes,
@@ -352,7 +366,7 @@ impl eframe::App for App {
                                                 ) / calc::delta_with_lut(
                                                     &mut self.calc_cache,
                                                     x,
-                                                );
+                                                ) - 1.0;
                                                 match self.scaling_type {
                                                     ScalingType::Linear => {
                                                         val
@@ -368,7 +382,7 @@ impl eframe::App for App {
                                         points: x_values
                                             .iter()
                                             .zip(y_values_phi0.iter())
-                                            .map(|(&x, &y)| [x.powf(0.5), y])
+                                            .map(|(&x, &y)| [x, y])
                                             .collect(),
                                         name: format!(
                                             "(#{}) phi0 / delta, {} ot, {} pt, {} ss, n_o={}, n_p={}",
@@ -400,21 +414,52 @@ impl eframe::App for App {
                                         points: x_values
                                             .iter()
                                             .zip(y_values_func.iter())
-                                            .map(|(&x, &y)| [x.powf(0.5), y])
+                                            .map(|(&x, &y)| [x, y])
                                             .collect(),
                                         name:"cont. polynomial".to_string()
                                     });
                                 }
                                 5 => {
-                                    let cutoff_factor = calc::omnes(&mut self.calc_cache, self.cutoff_s, self.n_omnes, self.use_tan_omnes) * self.cutoff_s;
-                                    println!("{:?}", cutoff_factor);
                                     let y_values_func: Vec<f64> = x_values
                                         .iter()
                                         .map(|&x| { 
+                                            let val = if self.use_tan_omnes {
+                                                calc::omnes_integrand_tan(&self.calc_cache, x, 1.2).abs()
+                                            } else {
+                                                calc::omnes_integrand_notan(&self.calc_cache, x, 1.2).abs()
+                                            };
+                                            match self.scaling_type {
+                                                ScalingType::Linear => {
+                                                    val
+                                                }
+                                                ScalingType::Logarithmic => {
+                                                    val.log10()
+                                                }
+                                            }
+                                        }).collect();
+                                    self.plot_data.push(PlotCurve {
+                                        points: x_values
+                                            .iter()
+                                            .zip(y_values_func.iter())
+                                            .map(|(&x, &y)| [x, y])
+                                            .collect(),
+                                        name: format!(
+                                            "(#{}) omnes integrand",
+                                            self.plot_data.len() + 1,
+                                        ),
+                                    })
+                                }
+                                6 => {
+                                    let bar = indicatif::ProgressBar::new(u64::from(self.n_points));
+                                    let cutoff_factor = calc::omnes(&mut self.calc_cache, self.cutoff_s, self.n_omnes, self.use_tan_omnes) * self.cutoff_s;
+                                    let y_values_func: Vec<f64> = x_values
+                                        .iter()
+                                        .map(|&x| { 
+                                            bar.inc(1);
                                             let val = calc::phi0_integrand(
                                                 &mut self.calc_cache, 
                                                 x, 
-                                                2.0, 
+                                                1.0, 
                                                 self.n_omnes, 
                                                 self.use_tan_omnes, 
                                                 self.use_tan_phi0, 
@@ -438,7 +483,7 @@ impl eframe::App for App {
                                         points: x_values
                                             .iter()
                                             .zip(y_values_func.iter())
-                                            .map(|(&x, &y)| [x.powf(0.5), y])
+                                            .map(|(&x, &y)| [x, y])
                                             .collect(),
                                         name: format!(
                                             "(#{}) phi0 integrand",
@@ -446,7 +491,7 @@ impl eframe::App for App {
                                         ),
                                     })
                                 }
-                                6 => {
+                                7 => {
                                     let bar = indicatif::ProgressBar::new(u64::from(self.n_points));
                                     let y_values: Vec<f64> =
                                         x_values.iter().map(|&x| {
@@ -492,7 +537,7 @@ impl eframe::App for App {
                                         points: x_values
                                             .iter()
                                             .zip(y_values.iter())
-                                            .map(|(&x, &y)| [x.powf(0.5), y])
+                                            .map(|(&x, &y)| [x, y])
                                             .collect(),
                                         name: format!(
                                             "(#{}) phi0_cut / phi0, cutoff power: {}",
@@ -501,7 +546,43 @@ impl eframe::App for App {
                                         ),
                                     });
                                 }
-                                7_usize.. => {
+                                8 => {
+                                    let bar = indicatif::ProgressBar::new(u64::from(self.n_points));
+                                    let y_values_func: Vec<f64> = x_values.iter().map(|&x| {
+                                        bar.inc(1);
+                                        let val = calc::phi0(
+                                            &mut self.calc_cache,
+                                            x,
+                                            self.n_omnes,
+                                            self.n_phi0,
+                                            self.use_tan_omnes,
+                                            self.use_tan_phi0,
+                                            self.use_xsub_phi0,
+                                            self.use_reduced_integrand,
+                                            x == self.a,
+                                            self.use_cutoff, 
+                                            self.cutoff_power,
+                                            self.cutoff_s
+                                        ) / calc::delta_with_lut(&mut self.calc_cache, x);
+                                        match self.scaling_type {
+                                            ScalingType::Linear => {
+                                                val
+                                            }
+                                            ScalingType::Logarithmic => {
+                                                val.log10()
+                                            }
+                                        }
+                                    }).collect();
+                                    self.plot_data.push(PlotCurve {
+                                        points: x_values
+                                            .iter()
+                                            .zip(y_values_func.iter())
+                                            .map(|(&x, &y)| [x, y])
+                                            .collect(),
+                                        name:"cont. polynomial".to_string()
+                                    });
+                                }
+                                9_usize.. => {
                                     panic!("This button has no assigned purpose!");
                                 }
                             }
@@ -524,7 +605,7 @@ impl eframe::App for App {
 
             let plot = Plot::new("my_plot")
                 .grid_spacing(5.0f32..=300.0f32)
-                .x_axis_label("sqrt(s) [GeV]")
+                .x_axis_label("s [GeV^2]")
                 .legend(Legend::default());
 
             let plot = match self.scaling_type {
@@ -545,7 +626,7 @@ impl eframe::App for App {
                             if v.value - v.value.floor() < 0.9 {
                                 log_gridmarks.push(GridMark {
                                     value: log_map(v.value),
-                                    step_size: v.step_size / 1.14,
+                                    step_size: v.step_size / 1.14, // This value just looks best
                                 });
                             }
                         }
@@ -563,7 +644,7 @@ impl eframe::App for App {
                     plot_ui.line(
                         Line::new(self.plot_data[i].points.clone())
                             .name(self.plot_data[i].name.clone()),
-                    ); // is clone necessary?
+                    );
                 }
             });
         });
@@ -574,6 +655,7 @@ impl eframe::App for App {
 fn main() {
     let mut app = App::default();
     app.calc_cache = calc::Cache::from_file("./gauss_quad_lut.morello").unwrap();
+    println!("{}", (2.0 * calc::M_K).powi(2));
 
     // let x_values: Vec<f64> = (0..app.n_points)
     //     .map(|x| -> f64 { f64::from(x) * ((app.b - app.a) / f64::from(app.n_points)) + app.a })
@@ -603,19 +685,30 @@ fn main() {
     // for (o,n_o) in accuracies.iter().enumerate() {
     //     println!("{:?}", n_o);
     //     for (p,n_p) in accuracies.iter().enumerate() {
-    //         let phi0 = calc::phi0(&mut app.calc_cache, 10000.0, *n_o, *n_p , true, true, true, true, true, false, 0.0, 0.0);
+    //         let phi0 = calc::phi0(&mut app.calc_cache, 10000.0, *n_o, *n_p , true, true, true, false, true, false, 0.0, 0.0);
     //         results[o][p] = phi0 / calc::delta(10000.0) - 1.0;
     //     }
     // }
 
     // println!("{:#?}", results);
     
-    let phi0 = calc::phi0(&mut app.calc_cache, 10000.0, 1000, 1000, true, true, true, true, true, false, 0.0, 0.0);
-    println!("relative difference: {:e}", phi0 / calc::delta(10000.0) - 1.0);
+    let phi0 = calc::phi0(&mut app.calc_cache, 2.0158, 100, 100, true, true, true, false, true, false, 0.0, 0.0);
+    println!("relative difference: {:e}", phi0 / calc::delta_with_lut(&mut app.calc_cache, 2.0158) - 1.0);
+
+    // let A = 1.42;
+    // let numerator = 4.0*A*A*calc::M_K * (calc::delta_with_lut(&mut app.calc_cache, A*A) - PI);
+    // let denominator = calc::LAMBDA1 + 2.0*calc::LAMBDA2 * (0.5*A/calc::M_K - 1.0);
+    // println!("{:?}", - numerator / denominator - A*A);
+
+    let options = eframe::NativeOptions {
+        viewport: egui::ViewportBuilder::default().with_inner_size([1500 as f32, 1000 as f32]),
+        default_theme: Theme::Dark,
+        ..Default::default()
+    };
 
     // eframe::run_native(
     //     "Omnes Calculator",
-    //     eframe::NativeOptions::default(),
+    //     options,
     //     Box::new(|_cc| Box::new(app)),
     // )
     // .unwrap();