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+\bibstyle{unsrt}
+\bibdata{bib/General}
+\bibcite{akrawy1989measurement}{1}
+\bibcite{thomson2013modern}{2}
+\bibcite{abe2008precision}{3}
+\bibcite{adamson2011measurement}{4}
+\bibcite{blondel2013research}{5}
+\bibcite{augustin2017mupix}{6}
+\bibcite{philipp2015hv}{7}
+\bibcite{augustin2015mupix}{8}
+\bibcite{connor1994recurrent}{9}
+\bibcite{grossberg2013recurrent}{10}
+\bibcite{ML:XGBoost}{11}
+\bibcite{chollet2015keras}{12}
+\bibcite{abadi2016tensorflow}{13}
+\bibcite{klambauer2017self}{14}
+\bibcite{chilimbi2014project}{15}
+\bibcite{ioffe2015batch}{16}
+\bibcite{cooijmans2016recurrent}{17}
+\bibcite{schuster1997bidirectional}{18}
+\bibcite{gers1999learning}{19}
+\bibcite{chung2014empirical}{20}
+\bibcite{agostinelli2003s}{21}
+\bibcite{pedregosa2011scikit}{22}
+\bibcite{ML:ROC_AUC:Bradley:1997:UAU:1746432.1746434}{23}
+\bibcite{gent1992special}{24}
+\bibcite{graves2013speech}{25}
diff --git a/thesis/00_main.bbl b/thesis/00_main.bbl
new file mode 100644
index 0000000..56b45f4
--- /dev/null
+++ b/thesis/00_main.bbl
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+\begin{thebibliography}{10}
+
+\bibitem{akrawy1989measurement}
+MZ~Akrawy, G~Alexander, J~Allison, PP~Allport, KJ~Anderson, JC~Armitage, GTJ
+  Arnison, P~Ashton, G~Azuelos, JTM Baines, et~al.
+\newblock Measurement of the z0 mass and width with the opal detector at lep.
+\newblock {\em Physics Letters B}, 231(4):530--538, 1989.
+
+\bibitem{thomson2013modern}
+Mark Thomson.
+\newblock {\em Modern particle physics}.
+\newblock Cambridge University Press, 2013.
+
+\bibitem{abe2008precision}
+S~Abe, T~Ebihara, S~Enomoto, K~Furuno, Y~Gando, K~Ichimura, H~Ikeda, K~Inoue,
+  Y~Kibe, Y~Kishimoto, et~al.
+\newblock Precision measurement of neutrino oscillation parameters with
+  kamland.
+\newblock {\em Physical Review Letters}, 100(22):221803, 2008.
+
+\bibitem{adamson2011measurement}
+P~Adamson, C~Andreopoulos, R~Armstrong, DJ~Auty, DS~Ayres, C~Backhouse, G~Barr,
+  M~Bishai, A~Blake, GJ~Bock, et~al.
+\newblock Measurement of the neutrino mass splitting and flavor mixing by
+  minos.
+\newblock {\em Physical Review Letters}, 106(18):181801, 2011.
+
+\bibitem{blondel2013research}
+A~Blondel, A~Bravar, M~Pohl, S~Bachmann, N~Berger, M~Kiehn, A~Sch{\"o}ning,
+  D~Wiedner, B~Windelband, P~Eckert, et~al.
+\newblock Research proposal for an experiment to search for the decay $\mu
+  \rightarrow eee$.
+\newblock {\em arXiv preprint arXiv:1301.6113}, 2013.
+
+\bibitem{augustin2017mupix}
+Heiko Augustin, Niklaus Berger, Sebastian Dittmeier, Carsten Grzesik, Jan
+  Hammerich, Qinhua Huang, Lennart Huth, Moritz Kiehn, Alexandr Kozlinskiy,
+  Frank~Meier Aeschbacher, et~al.
+\newblock The mupix system-on-chip for the mu3e experiment.
+\newblock {\em Nuclear Instruments and Methods in Physics Research Section A:
+  Accelerators, Spectrometers, Detectors and Associated Equipment},
+  845:194--198, 2017.
+
+\bibitem{philipp2015hv}
+Jonathan Philipp, Lennart Huth, Heiko Augustin, Raphael Philipp, Dirk Wiedner,
+  Niklaus Berger, Mu3e Collaboration, et~al.
+\newblock Das hv-maps basierte mupix teleskop.
+\newblock Technical report, Detector RD at DESY Test beam, 2015.
+
+\bibitem{augustin2015mupix}
+Heiko Augustin, N~Berger, S~Bravar, Simon Corrodi, A~Damyanova, F~F{\"o}rster,
+  R~Gredig, A~Herkert, Q~Huang, L~Huth, et~al.
+\newblock The mupix high voltage monolithic active pixel sensor for the mu3e
+  experiment.
+\newblock {\em Journal of Instrumentation}, 10(03):C03044, 2015.
+
+\bibitem{connor1994recurrent}
+Jerome~T Connor, R~Douglas Martin, and Les~E Atlas.
+\newblock Recurrent neural networks and robust time series prediction.
+\newblock {\em IEEE transactions on neural networks}, 5(2):240--254, 1994.
+
+\bibitem{grossberg2013recurrent}
+Stephen Grossberg.
+\newblock Recurrent neural networks.
+\newblock {\em Scholarpedia}, 8(2):1888, 2013.
+
+\bibitem{ML:XGBoost}
+Tianqi Chen and Carlos Guestrin.
+\newblock Xgboost: {A} scalable tree boosting system.
+\newblock {\em CoRR}, abs/1603.02754, 2016.
+
+\bibitem{chollet2015keras}
+Fran{\c{c}}ois Chollet et~al.
+\newblock Keras: Deep learning library for theano and tensorflow.
+\newblock {\em URL: https://keras. io/k}, 7(8), 2015.
+
+\bibitem{abadi2016tensorflow}
+Mart{\'\i}n Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey
+  Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, et~al.
+\newblock Tensorflow: a system for large-scale machine learning.
+\newblock In {\em OSDI}, volume~16, pages 265--283, 2016.
+
+\bibitem{klambauer2017self}
+G{\"u}nter Klambauer, Thomas Unterthiner, Andreas Mayr, and Sepp Hochreiter.
+\newblock Self-normalizing neural networks.
+\newblock In {\em Advances in Neural Information Processing Systems}, pages
+  971--980, 2017.
+
+\bibitem{chilimbi2014project}
+Trishul~M Chilimbi, Yutaka Suzue, Johnson Apacible, and Karthik Kalyanaraman.
+\newblock Project adam: Building an efficient and scalable deep learning
+  training system.
+\newblock In {\em OSDI}, volume~14, pages 571--582, 2014.
+
+\bibitem{ioffe2015batch}
+Sergey Ioffe and Christian Szegedy.
+\newblock Batch normalization: Accelerating deep network training by reducing
+  internal covariate shift.
+\newblock {\em arXiv preprint arXiv:1502.03167}, 2015.
+
+\bibitem{cooijmans2016recurrent}
+Tim Cooijmans, Nicolas Ballas, C{\'e}sar Laurent, {\c{C}}a{\u{g}}lar
+  G{\"u}l{\c{c}}ehre, and Aaron Courville.
+\newblock Recurrent batch normalization.
+\newblock {\em arXiv preprint arXiv:1603.09025}, 2016.
+
+\bibitem{schuster1997bidirectional}
+Mike Schuster and Kuldip~K Paliwal.
+\newblock Bidirectional recurrent neural networks.
+\newblock {\em IEEE Transactions on Signal Processing}, 45(11):2673--2681,
+  1997.
+
+\bibitem{gers1999learning}
+Felix~A Gers, J{\"u}rgen Schmidhuber, and Fred Cummins.
+\newblock Learning to forget: Continual prediction with lstm.
+\newblock 1999.
+
+\bibitem{chung2014empirical}
+Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio.
+\newblock Empirical evaluation of gated recurrent neural networks on sequence
+  modeling.
+\newblock {\em arXiv preprint arXiv:1412.3555}, 2014.
+
+\bibitem{agostinelli2003s}
+S~Agostinelli.
+\newblock S. agostinelli et al.(geant4 collaboration), nucl. instrum. methods
+  phys. res., sect. a 506, 250 (2003).
+\newblock {\em Nucl. Instrum. Methods Phys. Res., Sect. A}, 506:250, 2003.
+
+\bibitem{pedregosa2011scikit}
+Fabian Pedregosa, Ga{\"e}l Varoquaux, Alexandre Gramfort, Vincent Michel,
+  Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron
+  Weiss, Vincent Dubourg, et~al.
+\newblock Scikit-learn: Machine learning in python.
+\newblock {\em Journal of machine learning research}, 12(Oct):2825--2830, 2011.
+
+\bibitem{ML:ROC_AUC:Bradley:1997:UAU:1746432.1746434}
+Andrew~P. Bradley.
+\newblock The use of the area under the roc curve in the evaluation of machine
+  learning algorithms.
+\newblock {\em Pattern Recogn.}, 30(7):1145--1159, July 1997.
+
+\bibitem{gent1992special}
+CR~Gent and CP~Sheppard.
+\newblock Special feature. predicting time series by a fully connected neural
+  network trained by back propagation.
+\newblock {\em Computing \& Control Engineering Journal}, 3(3):109--112, 1992.
+
+\bibitem{graves2013speech}
+Alex Graves, Abdel-rahman Mohamed, and Geoffrey Hinton.
+\newblock Speech recognition with deep recurrent neural networks.
+\newblock In {\em Acoustics, speech and signal processing (icassp), 2013 ieee
+  international conference on}, pages 6645--6649. IEEE, 2013.
+
+\end{thebibliography}
diff --git a/thesis/00_main.blg b/thesis/00_main.blg
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+\documentclass[12pt,a4paper]{article}
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+\usepackage{hyperref}
+\usepackage{physics}
+\usepackage{tabstackengine}
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+\setlength{\skip\footins}{1.2pc plus 5pt minus 2pt}
+\title{Hunting for $B\rightarrow K \tau \tau$ imprints on the $B\rightarrow K \mu \mu$ dimuon spectrum}
+\author{\textit{Master thesis of}\\ Sascha Liechti}
+\date{08.08.2018}
+
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+
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+
+\begin{center}
+N. Serra, P. Owen, G. Isidori, C. Cornella, M. Koenig\\
+\end{center}
+
+\textbf{\large{Abstract}}\\
+.....
+Fill in abstract here .....
+
+\newpage
+\tableofcontents
+
+\newpage
+
+\include{01_Introduction}
+
+
+
+\bibliographystyle{unsrt}
+\bibliography{bib/General}
+\end{document}
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+\citation{gent1992special}
+\citation{graves2013speech}
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+\setcounter{page}{44}
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diff --git a/thesis/07_Anlysis.aux b/thesis/07_Anlysis.aux
new file mode 100644
index 0000000..f424641
--- /dev/null
+++ b/thesis/07_Anlysis.aux
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+\relax 
+\providecommand\hyper@newdestlabel[2]{}
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diff --git a/thesis/08_Appendix.aux b/thesis/08_Appendix.aux
new file mode 100644
index 0000000..76bead3
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+++ b/thesis/08_Appendix.aux
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+\relax 
+\providecommand\hyper@newdestlabel[2]{}
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+\@setckpt{08_Appendix}{
+\setcounter{page}{45}
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diff --git a/thesis/General.bib b/thesis/General.bib
new file mode 100644
index 0000000..587bb6e
--- /dev/null
+++ b/thesis/General.bib
@@ -0,0 +1,8 @@
+%%% General Books and Citations
+
+@book{thomson2013modern,
+  title={Modern particle physics},
+  author={Thomson, Mark},
+  year={2013},
+  publisher={Cambridge University Press}
+}
\ No newline at end of file
diff --git a/thesis/ML.bib b/thesis/ML.bib
new file mode 100644
index 0000000..a78211b
--- /dev/null
+++ b/thesis/ML.bib
@@ -0,0 +1,52 @@
+
+@article{ML:ROC_AUC:Bradley:1997:UAU:1746432.1746434,
+ author = {Bradley, Andrew P.},
+ title = {The Use of the Area Under the ROC Curve in the Evaluation of Machine Learning Algorithms},
+ journal = {Pattern Recogn.},
+ issue_date = {July, 1997},
+ volume = {30},
+ number = {7},
+ month = jul,
+ year = {1997},
+ issn = {0031-3203},
+ pages = {1145--1159},
+ numpages = {15},
+ url = {http://dx.doi.org/10.1016/S0031-3203(96)00142-2},
+ doi = {10.1016/S0031-3203(96)00142-2},
+ acmid = {1746434},
+ publisher = {Elsevier Science Inc.},
+ address = {New York, NY, USA},
+ keywords = {Accuracy measures, Cross-validation, Standard error, The ROC curve, The area under the ROC curve (AUC), Wilcoxon statistic},
+}
+
+% Gradient boosted reweighting
+@article{Rogozhnikov:boostedreweighting,
+      author         = "Alves~Jr., A. A. and others",
+      title          = "{The \lhcb detector at the LHC}",
+      collaboration  = "LHCb collaboration",
+      journal        = "JINST",
+      volume         = "3",
+      pages          = "S08005",
+      doi            = "10.1088/1748-0221/3/08/S08005",
+      year           = "2008",
+}
+
+
+
+
+@article{LHCb-DP-2016-001,
+      author         = "Aaij, R. and others",
+      title          = "{Tesla: an application for real-time data analysis in High Energy Physics}",
+      year           = "2016",
+      eprint         = "1604.05596",
+      archivePrefix  = "arXiv",
+      primaryClass   = "physics.ins-det",
+      reportNumber   = "LHCB-DP-2016-001",
+      SLACcitation   = "%%CITATION = ARXIV:1604.05596;%%",
+      journal        = "Comput. Phys. Commun.",
+      volume         = "208",
+      year           = "2016",
+      pages          = "35-42",
+      doi            = "10.1016/j.cpc.2016.07.022",
+}
+
diff --git a/thesis/Presentation/~$Bachelor_thesis_defense_presentation.pptx b/thesis/Presentation/~$Bachelor_thesis_defense_presentation.pptx
new file mode 100644
index 0000000..241aa26
--- /dev/null
+++ b/thesis/Presentation/~$Bachelor_thesis_defense_presentation.pptx
Binary files differ
diff --git a/thesis/bib/General.bib b/thesis/bib/General.bib
new file mode 100644
index 0000000..ec9dd5e
--- /dev/null
+++ b/thesis/bib/General.bib
@@ -0,0 +1,295 @@
+%%% General Books and Citations
+
+%Z-width at LEP
+@article{akrawy1989measurement,
+  title={Measurement of the Z0 Mass and Width with the OPAL Detector at LEP},
+  author={Akrawy, MZ and Alexander, G and Allison, J and Allport, PP and Anderson, KJ and Armitage, JC and Arnison, GTJ and Ashton, P and Azuelos, G and Baines, JTM and others},
+  journal={Physics Letters B},
+  volume={231},
+  number={4},
+  pages={530--538},
+  year={1989},
+  publisher={Elsevier}
+}
+
+%beam search
+@inproceedings{graves2013speech,
+  title={Speech recognition with deep recurrent neural networks},
+  author={Graves, Alex and Mohamed, Abdel-rahman and Hinton, Geoffrey},
+  booktitle={Acoustics, speech and signal processing (icassp), 2013 ieee international conference on},
+  pages={6645--6649},
+  year={2013},
+  organization={IEEE}
+}
+
+%Fully connected NN
+@article{gent1992special,
+  title={Special Feature. Predicting time series by a fully connected neural network trained by back propagation},
+  author={Gent, CR and Sheppard, CP},
+  journal={Computing \& Control Engineering Journal},
+  volume={3},
+  number={3},
+  pages={109--112},
+  year={1992},
+  publisher={IET}
+}
+
+%Geant4
+@article{agostinelli2003s,
+  title={S. Agostinelli et al.(GEANT4 Collaboration), Nucl. Instrum. Methods Phys. Res., Sect. A 506, 250 (2003).},
+  author={Agostinelli, S},
+  journal={Nucl. Instrum. Methods Phys. Res., Sect. A},
+  volume={506},
+  pages={250},
+  year={2003}
+}
+
+%sklearn
+@article{pedregosa2011scikit,
+  title={Scikit-learn: Machine learning in Python},
+  author={Pedregosa, Fabian and Varoquaux, Ga{\"e}l and Gramfort, Alexandre and Michel, Vincent and Thirion, Bertrand and Grisel, Olivier and Blondel, Mathieu and Prettenhofer, Peter and Weiss, Ron and Dubourg, Vincent and others},
+  journal={Journal of machine learning research},
+  volume={12},
+  number={Oct},
+  pages={2825--2830},
+  year={2011}
+}
+
+%Thomson book
+@book{thomson2013modern,
+  title={Modern particle physics},
+  author={Thomson, Mark},
+  year={2013},
+  publisher={Cambridge University Press}
+}
+
+%Neutrino mixing angle measruements KamLAND
+@article{abe2008precision,
+  title={Precision measurement of neutrino oscillation parameters with KamLAND},
+  author={Abe, S and Ebihara, T and Enomoto, S and Furuno, K and Gando, Y and Ichimura, K and Ikeda, H and Inoue, K and Kibe, Y and Kishimoto, Y and others},
+  journal={Physical Review Letters},
+  volume={100},
+  number={22},
+  pages={221803},
+  year={2008},
+  publisher={APS}
+}
+
+%Neutrino mixing angle measruements MINOS
+@article{adamson2011measurement,
+  title={Measurement of the neutrino mass splitting and flavor mixing by MINOS},
+  author={Adamson, P and Andreopoulos, C and Armstrong, R and Auty, DJ and Ayres, DS and Backhouse, C and Barr, G and Bishai, M and Blake, A and Bock, GJ and others},
+  journal={Physical Review Letters},
+  volume={106},
+  number={18},
+  pages={181801},
+  year={2011},
+  publisher={APS}
+}
+
+%mu to eee paper
+@article{blondel2013research,
+  title={Research Proposal for an Experiment to Search for the Decay $\mu \rightarrow eee$},
+  author={Blondel, A and Bravar, A and Pohl, M and Bachmann, S and Berger, N and Kiehn, M and Sch{\"o}ning, A and Wiedner, D and Windelband, B and Eckert, P and others},
+  journal={arXiv preprint arXiv:1301.6113},
+  year={2013}
+}
+
+%GRU
+@article{chung2014empirical,
+  title={Empirical evaluation of gated recurrent neural networks on sequence modeling},
+  author={Chung, Junyoung and Gulcehre, Caglar and Cho, KyungHyun and Bengio, Yoshua},
+  journal={arXiv preprint arXiv:1412.3555},
+  year={2014}
+}
+
+%LSTM
+@article{gers1999learning,
+  title={Learning to forget: Continual prediction with LSTM},
+  author={Gers, Felix A and Schmidhuber, J{\"u}rgen and Cummins, Fred},
+  year={1999},
+  publisher={IET}
+}
+
+%ROC curve
+@article{ML:ROC_AUC:Bradley:1997:UAU:1746432.1746434,
+ author = {Bradley, Andrew P.},
+ title = {The Use of the Area Under the ROC Curve in the Evaluation of Machine Learning Algorithms},
+ journal = {Pattern Recogn.},
+ issue_date = {July, 1997},
+ volume = {30},
+ number = {7},
+ month = jul,
+ year = {1997},
+ issn = {0031-3203},
+ pages = {1145--1159},
+ numpages = {15},
+ url = {http://dx.doi.org/10.1016/S0031-3203(96)00142-2},
+ doi = {10.1016/S0031-3203(96)00142-2},
+ acmid = {1746434},
+ publisher = {Elsevier Science Inc.},
+ address = {New York, NY, USA},
+ keywords = {Accuracy measures, Cross-validation, Standard error, The ROC curve, The area under the ROC curve (AUC), Wilcoxon statistic},
+}
+
+%XGBoost
+@article{ML:XGBoost,
+  author    = {Tianqi Chen and
+               Carlos Guestrin},
+  title     = {XGBoost: {A} Scalable Tree Boosting System},
+  journal   = {CoRR},
+  volume    = {abs/1603.02754},
+  year      = {2016},
+  url       = {http://arxiv.org/abs/1603.02754},
+  timestamp = {Sat, 02 Apr 2016 11:49:48 +0200},
+  biburl    = {http://dblp.uni-trier.de/rec/bib/journals/corr/ChenG16},
+  bibsource = {dblp computer science bibliography, http://dblp.org}
+}
+
+%Selu and other activation functions
+@inproceedings{klambauer2017self,
+  title={Self-normalizing neural networks},
+  author={Klambauer, G{\"u}nter and Unterthiner, Thomas and Mayr, Andreas and Hochreiter, Sepp},
+  booktitle={Advances in Neural Information Processing Systems},
+  pages={971--980},
+  year={2017}
+}
+
+%Mupix detector
+@article{augustin2017mupix,
+  title={The MuPix system-on-chip for the Mu3e experiment},
+  author={Augustin, Heiko and Berger, Niklaus and Dittmeier, Sebastian and Grzesik, Carsten and Hammerich, Jan and Huang, Qinhua and Huth, Lennart and Kiehn, Moritz and Kozlinskiy, Alexandr and Aeschbacher, Frank Meier and others},
+  journal={Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment},
+  volume={845},
+  pages={194--198},
+  year={2017},
+  publisher={Elsevier}
+}
+
+@techreport{philipp2015hv,
+  title={Das HV-MAPS basierte MuPix Teleskop},
+  author={Philipp, Jonathan and Huth, Lennart and Augustin, Heiko and Philipp, Raphael and Wiedner, Dirk and Berger, Niklaus and Mu3e Collaboration and others},
+  year={2015},
+  institution={Detector RD at DESY Test beam}
+}
+
+@article{augustin2015mupix,
+  title={The MuPix high voltage monolithic active pixel sensor for the Mu3e experiment},
+  author={Augustin, Heiko and Berger, N and Bravar, S and Corrodi, Simon and Damyanova, A and F{\"o}rster, F and Gredig, R and Herkert, A and Huang, Q and Huth, L and others},
+  journal={Journal of Instrumentation},
+  volume={10},
+  number={03},
+  pages={C03044},
+  year={2015},
+  publisher={IOP Publishing}
+}
+
+%Keras
+@article{chollet2015keras,
+  title={Keras: Deep learning library for theano and tensorflow},
+  author={Chollet, Fran{\c{c}}ois and others},
+  journal={URL: https://keras. io/k},
+  volume={7},
+  number={8},
+  year={2015}
+}
+
+%Tensorflow
+@inproceedings{abadi2016tensorflow,
+  title={Tensorflow: a system for large-scale machine learning.},
+  author={Abadi, Mart{\'\i}n and Barham, Paul and Chen, Jianmin and Chen, Zhifeng and Davis, Andy and Dean, Jeffrey and Devin, Matthieu and Ghemawat, Sanjay and Irving, Geoffrey and Isard, Michael and others},
+  booktitle={OSDI},
+  volume={16},
+  pages={265--283},
+  year={2016}
+}
+
+%Batchnorm in between layers
+@article{cooijmans2016recurrent,
+  title={Recurrent batch normalization},
+  author={Cooijmans, Tim and Ballas, Nicolas and Laurent, C{\'e}sar and G{\"u}l{\c{c}}ehre, {\c{C}}a{\u{g}}lar and Courville, Aaron},
+  journal={arXiv preprint arXiv:1603.09025},
+  year={2016}
+}
+
+@article{ioffe2015batch,
+  title={Batch normalization: Accelerating deep network training by reducing internal covariate shift},
+  author={Ioffe, Sergey and Szegedy, Christian},
+  journal={arXiv preprint arXiv:1502.03167},
+  year={2015}
+}
+
+%XGBoost
+@inproceedings{chen2016xgboost,
+  title={Xgboost: A scalable tree boosting system},
+  author={Chen, Tianqi and Guestrin, Carlos},
+  booktitle={Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining},
+  pages={785--794},
+  year={2016},
+  organization={ACM}
+}
+
+%ROC curve
+@article{ML:ROC_AUC:Bradley:1997:UAU:1746432.1746434,
+ author = {Bradley, Andrew P.},
+ title = {The Use of the Area Under the ROC Curve in the Evaluation of Machine Learning Algorithms},
+ journal = {Pattern Recogn.},
+ issue_date = {July, 1997},
+ volume = {30},
+ number = {7},
+ month = jul,
+ year = {1997},
+ issn = {0031-3203},
+ pages = {1145--1159},
+ numpages = {15},
+ url = {http://dx.doi.org/10.1016/S0031-3203(96)00142-2},
+ doi = {10.1016/S0031-3203(96)00142-2},
+ acmid = {1746434},
+ publisher = {Elsevier Science Inc.},
+ address = {New York, NY, USA},
+ keywords = {Accuracy measures, Cross-validation, Standard error, The ROC curve, The area under the ROC curve (AUC), Wilcoxon statistic},
+}
+
+%RNN
+@article{grossberg2013recurrent,
+  title={Recurrent neural networks},
+  author={Grossberg, Stephen},
+  journal={Scholarpedia},
+  volume={8},
+  number={2},
+  pages={1888},
+  year={2013}
+}
+
+@article{connor1994recurrent,
+  title={Recurrent neural networks and robust time series prediction},
+  author={Connor, Jerome T and Martin, R Douglas and Atlas, Les E},
+  journal={IEEE transactions on neural networks},
+  volume={5},
+  number={2},
+  pages={240--254},
+  year={1994},
+  publisher={IEEE}
+}
+
+%Adam
+@inproceedings{chilimbi2014project,
+  title={Project Adam: Building an Efficient and Scalable Deep Learning Training System.},
+  author={Chilimbi, Trishul M and Suzue, Yutaka and Apacible, Johnson and Kalyanaraman, Karthik},
+  booktitle={OSDI},
+  volume={14},
+  pages={571--582},
+  year={2014}
+}
+
+%Bidirectional RNN
+@article{schuster1997bidirectional,
+  title={Bidirectional recurrent neural networks},
+  author={Schuster, Mike and Paliwal, Kuldip K},
+  journal={IEEE Transactions on Signal Processing},
+  volume={45},
+  number={11},
+  pages={2673--2681},
+  year={1997},
+  publisher={IEEE}
+}
\ No newline at end of file
diff --git a/thesis/bib/ML.bib b/thesis/bib/ML.bib
new file mode 100644
index 0000000..628c980
--- /dev/null
+++ b/thesis/bib/ML.bib
@@ -0,0 +1,36 @@
+%%% Machine Learning Papers
+
+
+
+%Gradient boosted reweighting
+@article{Rogozhnikov:boostedreweighting,
+      author         = "Alves~Jr., A. A. and others",
+      title          = "{The \lhcb detector at the LHC}",
+      collaboration  = "LHCb collaboration",
+      journal        = "JINST",
+      volume         = "3",
+      pages          = "S08005",
+      doi            = "10.1088/1748-0221/3/08/S08005",
+      year           = "2008",
+}
+
+
+
+
+@article{LHCb-DP-2016-001,
+      author         = "Aaij, R. and others",
+      title          = "{Tesla: an application for real-time data analysis in High Energy Physics}",
+      year           = "2016",
+      eprint         = "1604.05596",
+      archivePrefix  = "arXiv",
+      primaryClass   = "physics.ins-det",
+      reportNumber   = "LHCB-DP-2016-001",
+      SLACcitation   = "%%CITATION = ARXIV:1604.05596;%%",
+      journal        = "Comput. Phys. Commun.",
+      volume         = "208",
+      year           = "2016",
+      pages          = "35-42",
+      doi            = "10.1016/j.cpc.2016.07.022",
+}
+
+
diff --git a/thesis/bib/texput.log b/thesis/bib/texput.log
new file mode 100644
index 0000000..bf84e59
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+++ b/thesis/bib/texput.log
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+**General.tex
+
+! Emergency stop.
+<*> General.tex
+               
+*** (job aborted, file error in nonstop mode)
+
+ 
+Here is how much of TeX's memory you used:
+ 2 strings out of 492973
+ 17 string characters out of 3135932
+ 55972 words of memory out of 3000000
+ 3978 multiletter control sequences out of 15000+200000
+ 3640 words of font info for 14 fonts, out of 3000000 for 9000
+ 1141 hyphenation exceptions out of 8191
+ 0i,0n,0p,1b,6s stack positions out of 5000i,500n,10000p,200000b,50000s
+!  ==> Fatal error occurred, no output PDF file produced!
diff --git a/thesis/mu3e-paper.pdf b/thesis/mu3e-paper.pdf
new file mode 100644
index 0000000..c2ca738
--- /dev/null
+++ b/thesis/mu3e-paper.pdf
Binary files differ