BOOST 2016: 8th International Workshop on Boosted Object Phenomenology, Reconstruction and Searches in HEP

18 Jul 2016, 08:00 → 22 Jul 2016, 18:00 Europe/Zurich

RAI-H-041 (Zurich)

Andreas Hinzmann (Universitaet Zuerich (CH)), Ben Kilminster (Universitaet Zuerich (CH)), Charalampos Anastasiou (ETH Zurich), Florencia Canelli (Universitaet Zuerich (CH)), Gino Isidori (Universitaet Zuerich (CH)), Gregor Kasieczka (Eidgenoessische Tech. Hochschule Zuerich (CH)), Guenther Dissertori (Eidgenoessische Tech. Hochschule Zuerich (CH)), Rainer Wallny (Eidgenoessische Tech. Hochschule Zuerich (CH)), Thomas Gehrmann (Univ. Zurich)

BOOST2016 is the eighth of a series of successful joint theory/experiment workshops that bring together the world's leading experts from theory and LHC experiments to discuss the latest progress and develop new approaches on the reconstruction of and use of boosted decay topologies in order to search for new physics. This year, the workshop is jointly hosted by the University of Zurich and ETH Zurich.

Conference Poster

GroupPicture.jpg

Public Event Poster

Excursions

• Bike-trip.pdf
• Hiking-trip-v2.pdf
• Swim-trip.pdf

Monday, 18 July

Break: Welcome Coffee + Registration

Plenary: Opening + Session I - CALCULATIONS

Convener: Florencia Canelli (Universitaet Zuerich (CH))

1 Welcome

Speaker: Florencia Canelli (Universitaet Zuerich (CH))

Boost2016-intro.pdf

2 Theory Opening

40' + 10'

Speakers: Prof. Frank Petriello (Northwestern University and Argonne National Lab), Frank Petriello Petriello (University of Wisconsin-Madison)

petriello-Boost2016.pdf

3 Highlights from ATLAS and CMS

40' + 10'

Speaker: Robin Erbacher (University of California Davis (US))

Erbacher-BOOST2016.key.pdf

4 Factorization and Resummation of Soft Dropped D2

In experimental studies which use boosted taggers, groomers are typically used to reduce sensitivity to wide angle soft radiation. It is therefore important to understand the behavior of these groomers to all orders in QCD. In this talk, I will discuss the factorization of groomed two prong substructure observables, focusing in particular on the $D_2$ observable. I will show that for a particular groomer, soft drop, this observable can be factorized to all orders in perturbation theory. I will discuss theoretical and experimental advantages and disadvantages of soft dropped $D_2$ as a tagger, as well as present numerical results. This analysis sheds considerable light into the behavior of groomed substructure observables and their calculability.

Speaker: Ian Moult

IanMoult_boost2016.pdf

Break: Lunch

Plenary: Session II - CALCULATION AND MEASUREMENT

Convener: Matthew Schwartz

5 A QCD description of jet shapes for boosted jets

Jet shapes are commonly used as discriminative variables to tag boosted objects. In this talk, I will present a method to compute jet shapes for boosted objects which retains the dominant contributions coming either from the large boost or, when appropriate, from the smallness of the shape itself. I will mostly focus on the case of 2-subjettiness but will also show that the method can be applied to other observables like N-subjettiness with grooming or Energy-Correlation functions.

Speaker: Gregory Soyez (IPhT, CEA Saclay)

gsoyez_boost16.pdf

6 Jet Substructure at NNLL

I will discuss recent advances in precision jet substructure calculations. The soft drop groomed mass has been calculated to next-to-next-to-leading logarithmic accuracy and matched to relative $\alpha_s^2$ fixed-order corrections for jets in $pp\to Z+j$ events. The normalized soft drop mass distribution is insensitive to underlying event and pileup, depends only on collinear physics, and only requires determination of the relative quark and gluon jet fractions from fixed-order calculations. This is the first jet substructure calculation to this accuracy and opens the door to precision theory and data comparisons.

Speaker: Andrew Larkoski (Harvard University)

BOOST_2016_Larkoski.pdf

7 Measurements of jet properties in CMS

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Speakers: Debarati Roy (University of the Witwatersrand (ZA)), Debarati Roy (Saha Institute of Nuclear Physics (IN))

BoostTalk_final.pdf

8 Jet properties at ATLAS

Jet properties

Speaker: Ben Nachman (SLAC National Accelerator Laboratory (US))

BOOST16.pdf

Break: Coffee

Plenary: Session III - TOP TAGGING: PERFORMANCE AND APPLICATION

Convener: Lily Asquith (University of Sussex (UK))

9 Top differential cross section and charge asymmetry at ATLAS

Top differential cross section and charge asymmetry

Speaker: Matteo Negrini (Universita e INFN, Bologna (IT))

boost16_negrini.pdf

boost16_negrini.pdf

10 Top quark measurements in boosted topologies in CMS

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Speaker: Louise Skinnari (Cornell University (US))

skinnari_BOOST2016.pdf

11 New massive resonances with boosted top signatures at ATLAS

New massive resonances with boosted top signatures

Speaker: Aine Kobayashi (University of Tokyo (JP))

20160718BOOST_TtbarResonance_AK.pdf

12 Search for New Massive Resonances with Boosted Top Signatures at CMS

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Speakers: Kevin Connor Nash (Rutgers, State Univ. of New Jersey (US)), Kevin Connor Nash (Rutgers, State Univ. of New Jersey (US))

BOOST_2016_Draft_Final.pdf

13 How to get to the Apero

Speaker: Gregor Kasieczka (Eidgenoessische Tech. Hochschule Zuerich (CH))

apero.pdf

Break: Welcome Apero

Tuesday, 19 July

Plenary: Session IV - FLAVOR

Convener: Alexander Schmidt (University of Hamburg)

14 Identification of b jets in boosted event topologies with CMS

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Speaker: Dinko Ferencek (Institute Rudjer Boskovic (HR))

Boosted_b_jets_CMS.pdf

15 Identification of b jets in boosted event topologies at ATLAS

Identification of b jets in boosted event topologies

Speaker: Nikola Lazar Whallon (University of Washington (US))

boost_dense_environments.pdf

16 X-> bbbar tagging ATLAS

X-> bbbar tagging ATLAS

Speaker: Qi Zeng (SLAC National Accelerator Laboratory (US))

ATL-COM-PHYS-2016-871.pdf

17 Tagging $b$ quarks at extreme energies without tracks

Many of the most exciting searches for new physics beyond the Standard Model,
as well as further studies of the Standard Model itself, benefit from being
able to identify high-energy jets containing $b$ quarks (``$b$-jets'').
Examples include Higgs pair production and decay via
$HH\rightarrow b\overline{b}b\overline{b}$, sensitive to Higgs trilinear
couplings~\cite{Behr:2015oqq}; graviton and radion decays to heavy fermions
and bosons in warped extra dimension models~\cite{Gouzevitch:2013qca}; third-generation
superpartners in supersymmetry~\cite{Alwall:2008ag}; and indeed any new
physics with preferential couplings to heavy Standard Model particles or
third-generation fermions in particular.

One of the most distinctive features of a $b$-jet is the relatively long life
(on the order of 1.5~ps) of the $B$ hadron, resulting in charged particle
tracks displaced from the primary interaction vertex. For this reason, almost
all modern collider-based particle physics experiments deploy several layers of
high-granularity silicon detectors near the interaction point, and algorithms
for distinguishing $b$-jets from jets originating from lighter quarks rely on
the ability to reconstruct high-resolution tracks in these finely grained
subsystems.

However, with increasingly stringent limits placed on the energy scale for new physics,
distinguishing displaced tracks within increasingly energetic jets
becomes simultaneously more important and more challenging. Two effects in
particular make $b$-tagging in TeV-scale jets difficult: First,
more tracks are collimated into a small angle, resulting in a higher hit
density and a more ambiguous association of hits with tracks.
A single mis-assignment can steer a track off-course and produce an
erroneous impact parameter. Second, at extreme energies, an increasing
fraction of $B$ hadrons will decay after crossing the innermost layers of the
silicon detector: in the best case scenario, this situation merely reduces the
number of hits available for reconstruction and thus degrades the impact
parameter resolution of the track. A worse scenario is that the track picks up
a spurious hit in the densely populated inner layer.

Results on conventional $b$-tagger efficiencies from the LHC experiments typically
are limited to momenta transverse to the beam ($p_T$) below roughly
500 GeV. Early simulation
results indicated a falling tagging efficiency beyond approximately 150 GeV.
Even with considerable optimization, results remain
consistent with a falling efficiency at high energies, though obscured somewhat
by the restricted momentum range published.

This article investigates a new method which, by relying only on Si detector hits rather
than the reconstructed tracks, better maintains its efficiency at extreme energies,
by which we mean energies of at least 300 GeV, above which conventional
$b$-tagging performance degrades rapidly.

Speaker: Todd Brian Huffman (University of Oxford (GB))

BOOST2016JmpMultBtag20160718v3.pdf

BOOST2016JmpMultBtag20160718v3.pptx

18 Social Program

Speaker: Ben Kilminster (Universitaet Zuerich (CH))

Excursions-Boost-2016.pdf

Break: Coffee

Plenary: Session V - W/Z TAGGERS

Convener: Andreas Hinzmann (Universitaet Zuerich (CH))

19 Thinking outside the ROCs: Designing Decorrelated Taggers (DDT) for jet substructure

We explore the scale-dependence and correlations of jet substructure observables to improve upon existing techniques in the identification of highly Lorentz-boosted objects. Modified observables are designed to remove correlations from existing theoretically well-understood observables, providing practical advantages for experimental measurements and searches for new phenomena. We study such observables in W jet tagging and provide recommendations for observables based on considerations beyond signal and background efficiencies.

Speaker: Salvatore Rappoccio (State University of New York (US))

rappoccio_ddt_boost2016.pdf

20 Boosted W/Z-tagging at ATLAS

Boosted W/Z-tagging

Speakers: Aparajita Dattagupta (University of Oregon (US)), Aparajita Dattagupta (Indiana University (US))

BoostedWZtagging_ATLAS_aparajita.pdf

21 Boosted W/Z tagging in CMS

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Speaker: Luca Brianza (Universita & INFN, Milano-Bicocca (IT))

Boost_Zurich_v3.pdf

Break: Lunch

Plenary: Session VI - TOP: CALCULATION AND MEASUREMENT

Conveners: Thomas Gehrmann (Univ. Zurich), Thomas Gehrmann

22 QCD resummation for boosted top production

The LHC is starting to study the regime where top-quark pairs are produced with energies much larger than the top mass. In this "boosted regime", large QCD corrections can arise both from soft-gluon emissions and from emissions collinear to the energetic top quarks, which become singular in the boosted limit. In this talk I discuss a theoretical framework which can be used to resum both types of potentially large corrections in the boosted regime, and compare some of its numerical predictions for differential cross sections with LHC data.

Speaker: Ben Pecjak

BOOST2016.pdf

23 Kinematic Extraction of Short Distance Top Mass at the LHC

The top quark mass is one of the most important standard model parameters. The most precise method for top mass extraction comes from kinematic extraction. However, there's an O(1) GeV theory uncertainty associated with the fact these methods rely on Monte Carlo simulations which do not have a fully specified field theoretic mass scheme definition. I will describe our proposal for using a 2-jettiness variable with a boosted top sample to extract the top mass at the LHC. This variable obeys a factorization theorem which allow the associated cross section to be calculated with a well defined top mass scheme, and has the same strong sensitivity as the currently used template method.

Speaker: Aditya Pathak (Massachusetts Institute of Technology)

Boost-16-final.pdf

24 Boosted top tagging in CMS

-

Speaker: Roman Kogler (Hamburg University (DE))

BOOST16_toptagging_CMS.pdf

25 Boosted top-tagging at ATLAS

Boosted top-tagging

Speaker: Christoph Falk Anders (Ruprecht-Karls-Universitaet Heidelberg)

Anders_Boost16.pdf

Break: Coffee

Plenary: Session VII - FUTURE

Convener: Jesse Thaler (MIT)

26 Detectors for Superboosted Jet Substructure at Future Circular Colliders

We study the detector performance with an emphasis on jet substructure variables for extremely boosted objects at very high energy proton colliders using Geant4 simulation. We focus on the calorimeter performance and study hadronically-decaying W bosons with transverse momentum in the multi-TeV range (5-20 TeV). The calorimeter segmentation is benchmarked in order to understand the impact of granularity and resolution on boosted boson discrimination.

Speaker: Nhan Viet Tran (Fermi National Accelerator Lab. (US))

boost_fcc_v3.pdf

27 Jet reconstruction at future e+e- colliders

Abstract: The linear collider experiments require excellent performance of jet clustering algorithms in high-energy electron-positron with non-negligible gamma gamma -> hadrons background. The ILC and CLIC detector concepts have studied the performance of several algorithms under realistic conditions and with a detailed model of the detector response. Results on jet energy and substructure response are presented for several key benchmark processes. The identification of boosted objects in TeV electron-positron collisions is also discussed.

Speaker: Rosa Simoniello (CERN)

rosa_lc_boost16_19july2016.pdf

28 Boosted tops and the time-structure of the hot dense-medium of heavy-ion collisions

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Speaker: Gavin Salam (CERN)

Boost-HI-Top-salam.pdf

Public Evening Event

Wednesday, 20 July

Plenary: Session VIII - PILE UP AND CALCULATIONS

Convener: Ariel Gustavo Schwartzman (SLAC National Accelerator Laboratory (US))

29 Factorization and resummation of non-global logarithms

In this talk I will introduce our recent work about factorization and resummation for jet processes. From a detailed analysis of Sterman-Weinberg cone-jet cross sections in effective field theory, we obtain novel factorization theorems which separate the physics associated with different energy scales present in such processes. The relevant low-energy physics is encoded in Wilson lines along the directions of the energetic particles inside the jets. This multi-Wilson-line structure is present even for narrow-cone jets due to the relevance of small-angle soft radiation. We discuss the renormalization-group equations satisfied by these operators. Their solution resums all logarithmically enhanced contributions to such processes, including non-global logarithms. Such logarithms arise in many observables, in particular whenever hard phase-space constraints are imposed, and are not captured with standard resummation techniques. Our formalism provides the basis for higher-order logarithmic resummations of jet and other non-global observables. As a nontrivial consistency check, we use it to obtain explicit two-loop results for all logarithmically enhanced terms in cone-jet cross sections and verify those against numerical fixed-order computations. This talk is based on arXiv:1508.06645, arXiv:1605.02737 and some recent progress about numerical results.

Speaker: Dr dingyu shao

boost_2016_DYS.pdf

30 Pile-up mitigation techniques at ATLAS

Pile-up mitigation techniques

Speaker: Matthew Henry Klein (Columbia University (US))

pileupB2016.pdf

31 Using wavelets for pile-up mitigation in hadron collisions

Measuring inclusive quantities, both global (missing and sum transverse energy) and local (jet mass and substructure), after the high luminosity LHC upgrade will be extremely challenging, and will require new pile-up mitigation techniques that correct more than local jet energies. To this end, one can use the fact that pile-up has no angular structure while hard processes are characterised by small-angle emissions and are therefore highly sparse in the frequency domain. Using wavelet functions, intermediates between a standard pixel basis and a Fourier basis, which are localised in position ($y - \phi$) as well as frequency (angular) space, we can naturally and efficiently perform an event-wide classification of signal and pile-up particles by filtering in the frequency domain. In this talk, we will motivate the use of wavelets in high energy physics, describe the procedure behind a wavelet analysis, and present a few concrete methods and results. In particular, using a generator-level overlay of signal and pile-up events, we demonstrate that, using wavelet techniques, a significant improvement in e.g.~missing transverse energy reconstruction may be possible even up to $\langle\mu\rangle$ of 300 or beyond.

Speaker: Andreas Sogaard (University of Edinburgh (GB))

BOOST2016_20160720_AndreasSogaard.pdf

LearningMaximallySparseBasis.mov

Break: Coffee

Plenary: Session IX - SEARCHES

Convener: Ben Kilminster (Universitaet Zuerich (CH))

32 Search for Higgs-boson production in association with a top-quark pair at CMS

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Speakers: Shawn Darrell Williamson (KIT - Karlsruhe Institute of Technology (DE)), Shawn Darrell Williamson (KIT - Karlsruhe Institute of Technology (DE))

ttH@CMS_williamson_KIT.pdf

33 Search for light Z' to qq produced in association with a jet in CMS

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Speaker: Nhan Viet Tran (Fermi National Accelerator Lab. (US))

boost_zprime_nt.pdf

34 Search for beyond the Standard Model Higgs boson decaying to a pair of new light bosons in boosted dimuon final states in CMS

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Speakers: Jamal Rorie (University of Hawaii at Manoa), Jamal Tildon Rorie (Rice University (US)), Jamal Tildon Rorie (Rice University (US))

2016-07-20_BOOST2016_JRorie_FINAL_10MIN.pdf

35 Jet mass response ATLAS

Jet mass response ATLAS

Speakers: Roland Jansky (University of Innsbruck (AT)), Roland Wolfgang Jansky (University of Innsbruck (AT))

JetMassAtBOOST162.pdf

Break: Sandwich Lunch

Plenary: Mid-Week Session

Convener: Marcel Vos (IFIC Valencia (ES))

36 Mid-week refocus

Speaker: Jesse Thaler (MIT)

jthaler_Boost_2016.pdf

37 Open discussion

Break: Excursions

Thursday, 21 July

Plenary: Session X - SEARCHES

Convener: Andrea Rizzi (Universita di Pisa & INFN (IT))

38 SUSY using boosted techniques at ATLAS

SUSY using boosted techniques

Speaker: Giordon Holtsberg Stark (University of Chicago (US))

BOOST_2016.pdf

39 SUSY searches using boosted techniques at 13 TeV in CMS

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Speaker: Miaoyuan Liu (Fermi National Accelerator Lab. (US))

BoostTalk2016.pdf

40 Search for New Resonances Decaying to Boosted Higgs Signatures at CMS

Speakers: Vieri Candelise (National Central University (TW)), Vieri Candelise (National Central University (TW)), Vieri Candelise (Universita di Roma I "La Sapienza"-Universita & INFN, Roma I)

BOOST2016_higgs.pdf

41 New resonances decaying to boosted Higgs signatures at ATLAS

New resonances decaying to boosted Higgs signatures

Speaker: Chris Pollard (University of Glasgow (GB))

PollardBoost20160721.pdf

Break: Coffee

Plenary: Session XI - SEARCHES AND TAGGING

Convener: Jonathan Butterworth (University College London (UK))

42 Search for New Resonances Decaying to Boosted Diboson Signatures at CMS

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Speaker: Petar Maksimovic (Johns Hopkins University (US))

boost2016_VV.pdf

43 New resonances decaying to boosted diboson signatures at ATLAS

New resonances decaying to boosted diboson signatures (no abstract received)

Speaker: Francesco De Lorenzi (Iowa State University (US))

VVResonance_delorenzi_boost16.pdf

44 Resolved Top Tagger in CMS

Speaker: Stanislava Sevova (Northwestern University (US))

RTTBoost2016Talk.pdf

Break: Lunch

Plenary: Session XII - TAGGING

Convener: Gavin Salam (CERN)

45 Jet Images with Deep Learning

Building on the jet-image based representation of high energy jets, we develop computer vision based techniques for jet-tagging through the use of Deep Neural Networks. Jet-images enabled the connection between jet substructure and tagging with the fields of computer vision and image processing. We show how applying such techniques using Deep Neural Networks can improve the performance to identify highly boosted W bosons with respect to state-of-the-art substructure methods. In addition, we explore new ways to extract and visualize the discriminating features of different classes of jets, adding a new capability to understand the physics within jets and to design more powerful jet tagging methods.

Speakers: Ben Nachman (SLAC National Accelerator Laboratory (US)), Michael Aaron Kagan (SLAC National Accelerator Laboratory (US))

BOOST2016_DeepLearning_Nachman.pdf

46 Deep Learning for Boosted Objects

Deducing whether the substructure of an observed jet is due to a low-mass single particle or due to multiple decay objects of a massive particle is an important problem in the analysis of collider data. Traditional approaches have relied on expert features designed to detect energy deposition patterns in the calorimeter, but the complexity of the data make this task an excellent candidate for the application of machine learning tools. The data collected by the detector can be treated as a two-dimensional image, lending itself to the natural application of image classification techniques. In this work, we apply deep neural networks with a mixture of locally-connected and fully-connected nodes. Our experiments demonstrate that without the aid of expert features, such networks match or modestly outperform the current state-of-the-art approach for discriminating between jets from single hadronic particles and overlapping jets from pairs of collimated hadronic particles, and that such performance gains persist in the presence of pileup interactions.

In addition, we will present initial studies on using deep networks to perform b-tagging inside boosted objects.

Speaker: Daniel Hay Guest (University of California Irvine (US))

dguest_dl.pdf

47 New Multivariate Approach to Tagging Highly Boosted Top Quarks, Higgs Bosons, and W and Z Bosons

We present a new approach for efficiently and selectively identifying high-momentum, hadronically decaying top quarks, Higgs bosons, and W and Z bosons, distinguishing them from jets from light quarks and gluons in proton-proton collisions at the LHC or future colliders. This technique yields variables that can be combined with those from current approaches to boosted particle tagging in multivariate classifiers such as deep neural networks or boosted decision trees to yield estimators which can be used in a broad range of analyses in which such highly boosted particles play a role. The technique is capable of identifying subjets which overlap strongly in the tracking and calorimetry systems, allowing good performance even in the multi-TeV regime. The performance of the method is studied in various scenarios and shows promise for actual use at the LHC experiments.

Speaker: John Conway (University of California, Davis)

Conway-BOOST.pdf

48 A new tagger for hadronically decaying heavy particles at the LHC

We present a new algorithm developed for the identification of boosted heavy particles at the LHC, the Heavy Object Tagger with Variable R (HOTVR). The algorithm is based on jet clustering with a variable distance parameter $R$ combined with a mass jump condition. The variable $R$ approach adapts the jet size to the transverse momentum $p_T$, resulting in smaller jets for increasing values of $p_T$, making the jet mass less susceptible to radiation. Two and three prong decays are identified using subjets, formed by the mass jump condition. The resulting algorithm combines the jet clustering, subjet finding and rejection of soft clusters in one step, making it robust and simple. We present performance tests for the identification of boosted top quarks, which show that the HOTVR algorithm has similar or better performance over a large range in $p_T$ compared to other algorithms commonly used at the LHC.

Speaker: Tobias Lapsien (Hamburg University (DE))

boost2016_tlapsien_hotvr.pdf

Break: Coffee

Plenary: Session XIII - PERFORMANCE

Convener: Peter Loch (University of Arizona (US))

49 Jet performance in Run 2 at CMS

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Speaker: Giorgia Rauco (Universitaet Zuerich (CH))

JetPerformance@BOOST_Rauco.pdf

50 Jet performance in Run 2 at ATLAS

Jet performance in Run 2

Speaker: Takuto Kunigo (Kyoto University (JP))

atlas_jetperformance_in_run2.pdf

51 Tau identification in boosted topologies in CMS

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Speaker: Camilla Galloni (Universitaet Zuerich (CH))

Galloni_boost_2016.pdf

52 Y-splitter with grooming as an effective boosted object tagger

It has recently been shown that the Y-splitter method with trimming is a very effective method for tagging boosted electroweak bosons, outperforming several standard taggers at high pt. Here we analytically investigate this observation and explain the performance of Y-splitter with a range of grooming techniques from first principles of QCD. We also suggest modifications that considerably simplify the analytical results, thereby increasing robustness, and make the results largely independent of the details of grooming.

Speaker: Laís Sarem Schunk (IPhT, CEA - Saclay)

schunk-boost-2016.pdf

53 How to get to the Dinner

Speaker: Gregor Kasieczka (Eidgenoessische Tech. Hochschule Zuerich (CH))

Dinner.pdf

Break: Conference Dinner

Friday, 22 July

Plenary: Session XIV - SEARCHES AND TAGGING

Convener: Salvatore Rappoccio (State University of New York (US))

54 Splitting function in pp and PbPb collisions at 5 TeV in CMS

Heavy Ion z-fragmentation measurement in pp and PbPb

Speaker: Marta Verweij (CERN)

160721_BoostMVerweij.pdf

55 Massive vector-like quarks using boosted particle reconstructions ATLAS

Massive vector-like quarks using boosted particle reconstructions

Speaker: Trisha Farooque (Universitat Autònoma de Barcelona (ES))

VLQ_BOOST2016.pdf

56 Search for Massive Vector-like Quarks using Boosted Particle Reconstruction in CMS

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Speaker: Julie Hogan (Brown University (US))

VLQatBOOST_072216.pdf

Break: Coffee

Plenary: Closing

Convener: Gregor Kasieczka (Eidgenoessische Tech. Hochschule Zuerich (CH))

57 Experimental summary

Speaker: Philip Coleman Harris (CERN)

PCH_Boost_13_07.pdf

58 Theory summary

Speaker: Simone Marzani (University of Durham (GB))

boost_th.pdf

59 Open discussion

60 BOOST 2017

Speaker: Salvatore Rappoccio (State University of New York (US))

ub_boost2017.pdf

61 Farewell

Speaker: Gregor Kasieczka (Eidgenoessische Tech. Hochschule Zuerich (CH))