text:
# Revision history [back]

Hi,

Circles that have big area are filtered out by default. Your image has rather high resolution and size of circles is bigger than the default threshold. You can change your code as this to get it working:

Mat image = imread("Untitled.png");
Size patternSize(4, 11);
vector<Point2f> centers;

SimpleBlobDetector::Params params;
params.maxArea = 10e4;
Ptr<FeatureDetector> blobDetector = new SimpleBlobDetector(params);

bool isFound = findCirclesGrid(image, patternSize, centers, CALIB_CB_ASYMMETRIC_GRID, blobDetector);

The main application of findCirclesGrid is camera calibration and so default parameters are tuned to eliminate false detections because it is much worse for calibration than several miss-detections. You can change parameters if they doen't satisfy you. For example, I use the following parameters with Kinect camera (VGA resolution):

SimpleBlobDetector::Params params;
params.minArea = 10;
params.minDistBetweenBlobs = 5;

Also I use the flag CALIB_CB_CLUSTERING. The pattern is detected in ~99% of my images with these parameters.

format: plain


text:
# BEACH2022

Europe/Warsaw
1.20 (D-17)

### 1.20

#### D-17

street Kawiory 21
,
Description

Dear participants of the conference! Let's meet for welcome coctail in building D-7 room 015 (go to map, note that this is close to however a different place that the event default Venue).

• Sunday, 5 June
• 18:00 20:00
Welcome coctail 2h 015 (D-7)

### 015

#### D-7

street Reymonta 19
• Monday, 6 June
• 08:30 10:25
Heavy Flavour session: Block 1 1.20

### 1.20

#### D-17

street Kawiory 21
Convener: Tomasz Szumlak (AGH-UST)
• 09:00
LHCb physics introductuctory talk 30m

LHCb results

Speaker: Chris Parkes (University of Manchester (GB) & CERN)
• 09:30
Rare decays at LHCb, including tests of lepton flavour universality and lepton flavour violation 30m

Flavour-Changing Neutral-Current processes, such as decays mediated by b->sll transitions, are forbidden at the lowest perturbative order in the Standard Model (SM) and hence might receive comparatively large corrections from new particles in SM extensions. This talk highlights recent measurements from LHCb on b->sll transitions, including tests of lepton flavour universality and lepton flavour violation, as well as measurements of purely leptonic transitions.

Speaker: Marcin Chrzaszcz (Polish Academy of Sciences)
• 10:00
CP violation tests of hyperon-antihyperon pairs at BESIII 25m

The hyperons are produced with a non-zero spin polarization that is straight-forward to parameterize in processes involving virtual photons or vector mesons, enable direct and precise CP violation tests.
These CP tests can be performed on e.g. J/psi -> Lambda Lambdabar, J/psi-> Sigma Sigmabar, J/psi -> Xi Xibar and psi(2S) -> Omega Omegabar. For the Xi -> Lambda pi decay the exclusive measurement of the final state particles allows for three independent CP tests and the determination of the strong and weak phase differences. Thanks to the large datasets in the tau-mass region, including the world's largest data samples at the J/psi and psi(2S) resonances collected at the BESIII experiment, the multi-dimensional analyses making use of polarization and entanglement have been performed for these processes. In the presentation an outline of the methods and recent results achieved at BESIII will be discussed.

Speaker: Varvara Batozskaya
• 10:25 12:10
Heavy Flavour session: Block 2 1.20

### 1.20

#### D-17

street Kawiory 21
Convener: Tomasz Szumlak (AGH-UST)
• 10:25
Coffee break 30m
• 10:55
Mixing and indirect CP violation in charm mesons at LHCb: 25m

LHCb has collected the world's largest sample of charmed hadrons. This sample is used to measure $D^0 -\overline{D}^0$ mixing and to search for $C\!P$ violation in mixing and interference. New measurements from several decay modes are presented, as well as prospects for future sensitivities.e sensitivities.

Speaker: Edward Shields
• 11:20
Direct CPV in charm hadrons at LHCb: 25m

LHCb has collected the world's largest sample of charmed hadrons. This sample is used to measure direct $C\!P$ violation in $D$ mesons. New measurements from several decay modes are presented, as well as prospects for future sensitivities

Speaker: Artur Ukleja (EP/ULB Company)
• 11:45
Recent results of measurement of CKM angle gamma and CPV in the beauty sector at LHCb. 25m

The latest studies of beauty-meson decay to open-charm final states from LHCb. It includes recent studies of CKM angle gamma and CPV parameters in the beauty sector, especially the recent measurement of direct CPV in B+ decays. Measurements from several decay modes are presented.

Speaker: Wojciech Krupa (AGH University of Science and Technology)
• 12:10 13:30
Lunch break 1h 20m 1.20

### 1.20

#### D-17

street Kawiory 21
• 13:30 14:45
Heavy Flavour session: Block 3 1.20

### 1.20

#### D-17

street Kawiory 21
Convener: Agnieszka Obłąkowska-Mucha (AGH-UST Krakow)
• 13:30
Measurement of $B -> D^{(*)} \tau \nu$, using semileptonic tag and leptonic $\tau$ decays with the $BABAR$ detector (cancelled) 25m

Semileptonic decays of $B$ mesons involving the high-mass $\tau$ lepton are sensitive probes for physics beyond the Standard Model. The relative rates of branching fractions $R(D) = \mathcal{B}(B \to D \tau \nu) / \mathcal{B}(B \to D l \nu)$ and $R(D^*) = \mathcal{B}(B \to D^* \tau \nu) / \mathcal{B}(B \to D^* l \nu)$ $(l=e,\mu)$ are independent of the CKM element $|V_{cb}|$ and of other theoretical uncertainties. Based on the 433 $\text{fb}^{-1}$ data collected at the $\Upsilon(4S)$ resonance by the BABAR detector at the PEP-II collider located at the SLAC National Accelerator Laboratory, we report a measurement of $R(D)$ and $R(D^{*})$ using semileptonic $B$-tagging and leptonic $\tau$ decays.

• 13:55
Semileptonic and rare decays at Belle II 25m

Decays of B mesons that proceed through electroweak and radiative penguin amplitudes attract significant attention due to a number of observed discrepancies between the standard-model predictions and the results. Belle II is expected to perform measurements on channels closely related to those exhibiting anomalies and that are uniquely available to Belle II. We present recent results on b→sℓ+ℓ− and b→sνν¯ transitions. In addition, we present recent results related to semileptonic B decay.

Speaker: Daniel Dorner (HEPHY Vienna)
• 14:20

Outstanding vertexing performance and low-background environment are key enablers of a systematic Belle II program targeted at measurements of charm hadron lifetimes Recent results from measurements of D0 meson, D+ meson and Λc baryon lifetimes are presented. The results are the most precise to date.

Speaker: Marko Staric (J. Stefan Institute, Ljubljana, Slovenia)
• 14:45 15:15
Coffee break 30m 1.20

### 1.20

#### D-17

street Kawiory 21
• 15:15 16:30
Heavy Flavour session: Block 3 1.20

### 1.20

#### D-17

street Kawiory 21
Convener: Agnieszka Obłąkowska-Mucha (AGH-UST Krakow)
• 15:15
Latest results on rare decays at the NA62 experiment at CERN 25m

The NA62 experiment at CERN collected world's largest dataset of charged kaon decays in 2016-2018, leading to the observation of the ultra-rare K+ --> pi+ nu nu decay based on 20 candidates.
Dedicated trigger lines were employed for collection of di-lepton final states, which allowed establishing stringent upper limits on the rates lepton flavor and lepton number violating kaon decays. The dataset is also exploited to search for production of light feebly interacting particles (such as heavy neutral leptons) in kaon decays. Recent NA62 results based on the 2016-2018 dataset, and the prospects of the NA62 experiment, are presented

Speaker: Alina Kleimenova (Comenius University, Bratislava)
• 15:40
Hadronic B decay at Belle II 25m

he investigation of B-meson decays to charmed and charmless hadronic final states is a keystone of the Belle II physics program. It allows for theoretically reliable and experimentally precise constraints on the CKM Unitarity Triangle fit, and is sensitive to effects from non-SM physics. Results on branching ratios, direct CP-violating asymmetries, and polarization of various charmless B decays are presented, with particular emphasis on those for which Belle II will have unique sensitivity. Perspectives on the precision achievable on the CKM angles and on the so called "Kπ puzzle” are also discussed.New results from combined analyses of Belle and Belle II data to determine the CKM angle ϕ3 (or γ) and time-dependent CP violation measurements are also presented.

Speaker: Sebastiano Raiz (BELLE (BELLE II Experiment))
• 16:30 19:00
City tour 2h 30m

St Mary’s Church and the Main Market Square Underground Museum

• Tuesday, 7 June
• 09:00 10:20
Symmetries, hyperon and neutrino session: Block 1 1.20

### 1.20

#### D-17

street Kawiory 21
Conveners: Agnieszka Obłąkowska-Mucha (AGH-UST Krakow) , Paweł Moskal
• 09:00
Studies of discrete symmetries in positronium decays using the J-PET tomograph 30m

The Jagiellonian Positron Emission Tomograph (J-PET) is the first PET scanner based on plastic scintillators.

It is designed to measure momentum vectors and the polarisation of photons originating from the decays of positronium.

In combination with the newly invented positronium imaging method, J-PET enables the study of discrete symmetries
in positronium without the use of magnetic fields. We will present the latest results of P, T, CP, and CPT symmetry studies (Nature Communication 12, 5658 (2021)) as well as explain the method of positronium imaging (Science Advances 7, eabh4394 (2021)).

Speaker: Paweł Moskal
• 09:30
Particle Physics with Neutrino Detector in Space 25m

The question of what type of new physics could be done if a neutrino detector was able to operate close to the Sun was initially raised in 2015. This idea at the time was completely unexplored but innovative. Since asking this question we have determined how such a detector might be operated in space with little shielding and have explored scientific outcomes: better understanding of the solar interior which is a NASA major goal as stated in the decadal survey and unique new particle physics that could only be done in a close proximity to the sun while changes distance. Preliminary calculations show that such a spacecraft, if properly shielded, can operate in this environment and take data of neutrino interactions which can be distinguished from random background rates of other solar emissions, Galactic charged cosmic-ray and gamma-rays by using a double pulsed signature. A NASA funded study by our group which includes simulations of backgrounds and identifying the neutrino interaction signal, a demonstrator spacecraft detector concept mission and achievable science goals from a space flight missions would enable a whole new type of science investigation to explore and study our Sun, with unique particle physics in details that could not be done with the largest neutrino detectors on Earth nor other spacecrafts that are not capable of neutrino detection.

Speaker: Nickolas Solomey (Wichita State University)
• 09:55
ATLAS measurements of CP violation and rare decay processes with beauty mesons 25m

The ATLAS experiment has performed measurements of $B$-meson rare decays proceeding via suppressed electroweak flavour changing neutral currents, and of mixing and CP violation in the neutral $B^{0}_{s}$ meson system. This talk will focus on the latest results from the ATLAS collaboration, such as rare processes $B^{0}_{s}\rightarrow\mu\mu$ and $B^{0}_{d}\rightarrow\mu\mu$ and CP violation in $B^{0}_{s}\rightarrow J/\psi\phi$decays. In the latter, the Standard Model predicts the CP violating mixing phase, $\phi_{s}$, to be very small and its SM value is very well constrained, while in many new physics models large $\phi_{s}$ values are expected. The latest measurements of $\phi_{s}$ and several other parameters describing the $B^{0}_{s}\rightarrow\mu\mu$ decays will be reported.

• 10:20 10:50
Coffee break 30m 1.20

### 1.20

#### D-17

street Kawiory 21
• 10:50 12:05
Symmetries, hyperon and neutrino session: Block 2 1.20

### 1.20

#### D-17

street Kawiory 21
Convener: Agnieszka Obłąkowska-Mucha (AGH-UST Krakow)
• 10:50
J-PET tomograph as a novel detector for discrete symmetries studies in charge leptonic system 25m

The J- PET tomograph, which consists of inexpensive plastic scintillators, has also demonstrated its
potential in the study of fundamental symmetries [1,2]. It consists of 192 plastic scintillators arranged
in 3 layers optimized for the registration of multiple annihilation photons emitted in the decays of
ortho-positronium atoms (o-Ps) [3], a triplet state of a purely charged leptonic system of electron (e-
)
and its antiparticle positron (e+). Due to the constraints imposed by charge conjugation, o-Ps decays
into an odd number of photons, predominantly 3. The J- PET detector can register all annihilation
photons simultaneously. Thus, it enables precision testing of the discrete symmetries (C, P, T) in the
decays of o-Ps by measuring the expectation value event-by-event basis of the odd symmetry
operators consisting of the momentum vector of photons and the spin of o-Ps [2,4]. Moreover, the
geometric acceptance of J- PET allows the measurement of the polarization direction of the photon
based on Compton scattering [5], and thus, for the first time, the study of a new set of symmetry
operators involving the polarization of photons.
In this work, the key features of the J- PET tomograph as a novel detector and the experimental
techniques used to perform the precision tests of the discrete symmetries will be presented and
discussed

Speaker: SUSHIL SHARMA (Jagiellonian University)
• 11:15
Measurement of the rare K+ to pi+ nu nubar decay 25m

The decay K+→π+ νν ̅, with a very precisely predicted branching ratio of less than 10-10, is among
the best processes to reveal indirect effects of new physics.
The NA62 experiment reports the branching ratio measurement BR(K+→π+νν¯) =
(10.6+4.0−3.4|stat ± 0.9syst) × 10−11 at 68% CL, based on the observation of 20 signal candidates
with an expected background of 7.0 events from the total data sample collected at the CERN SPS
during 2016-2018. This provides evidence for the very rare K+→π+νν¯ decay, observed with a
significance of 3.4σ. The experiment achieves a single event sensitivity of (0.839±0.054) × 10−11,
corresponding to 10.0 events assuming the Standard Model branching ratio of (8.4±1.0) × 10−11.
This measurement is also used to set limits on BR(K+→π+X), where X is a scalar or pseudo-scalar
particle. Details are given of the analysis of the 2018 data sample, which corresponds to about
80% of the total data sample.
Future NA62 plans and prospects are also reviewed.

Speaker: Gemma Tinti
• 11:40
Production of enigmatic X(3872) in proton-proton collisions and its structure 25m
Speaker: Prof. Szczurek Antoni (INP PAS)
• 12:05 13:10
Lunch break 1h 5m 1.20

### 1.20

#### D-17

street Kawiory 21
• 13:10 14:00
Symmetries, hyperon and neutrino session: Block 3 1.20

### 1.20

#### D-17

street Kawiory 21
Convener: Agnieszka Obłąkowska-Mucha (AGH-UST Krakow)
• 13:10
The physics case for the CP-violation tests in hyperon decays at SCTF 25m

A comparison of the hyperon and antihyperon decay parameters allows for tests of direct CP-symmetry violation complementary to the \epsilon'/\epsilon measurements in kaon decays. Importance of the new BESIII result on e+e- ->J/psi->Xi- bar-Xi+, where the final state interaction and weak phase difference are disentangled, is discussed. We show how future measurements at Super Charm-Tau Factories (SCTF) can profit from the longitudinal polarization of the electron beam.

Speaker: Nora Salone (National Centre for Nuclear Research)
• 13:35
Precision measurements with Kaons at CERN 25m

The NA62 experiment at CERN took data in 2016--2018 with the main goal of measuring the K+ -> pi+ nu nubar decay. The high-intensity fixed-target setup and the detector performance make the NA62 experiment particularly suited to investigate the Standard Model structure and its possible extensions with
precision measurements of charged kaon decays.
Results from studies of the radiative kaon decays K+ → pi0e+vg (Ke3g) are reported, using a data sample of O(100k) Ke3g candidates with sub-percent background contaminations recorded in 2017-2018. Preliminary results with the most precise measurements of the Ke3g branching ratios and of T-asymmetry in the Ke3g decay are presented.
The flavour-changing neutral current decay K+ -> pi+ mu+ mu- is induced at the one-loop level in the Standard Model. Preliminary results from an analysis of the K+ -> pi+ mu+ mu- decay are reported, using a large sample of about 3x10^12 kaon decays into two muons recorded with a downscaled di-muon trigger operating along with the main trigger. The most precise determination of the K+ -> pi+ mu+ mu- form factor parameters 𝑎+ and 𝑏+ has been made by NA62 using data collected in 2017 and 2018.
Preliminary results of the K± → μ ± π0π0ν (Kmu400) decay first observation and analysis based on the NA48/2 data collected in 2003-2004 are also presented

Speaker: Chris Parkinson
• 14:00 14:40
Coffee break 40m 1.20

### 1.20

#### D-17

street Kawiory 21
• 14:40 16:00
Poster session 1.20

### 1.20

#### D-17

street Kawiory 21
• 14:40
Angular analysis of $B_{d}^{0} \to K^{*}\mu\mu$ decays at ATLAS 20m

The large amount of Heavy Flavour data collected by the ATLAS experiment is potentially sensitive to New Physics, which could be evident in processes that are
naturally suppressed in the Standard Model. The result of the angular distribution parameters describing the decay $B_d^0 \to K^{*0}\mu^+\mu^- \to K^+\pi^-\mu^+\mu^-$ based on full Run-1 data is presented.

Speaker: Martin Sykora (Prague CU)
• 15:00
Multiplication of simulated events using Machine Learning Technique 20m

Nowadays, simulated data, are commonly used in modern high-energy physics experiments. They are used not only for determining certain performance but also in training machine learning algorithms. Generating data, especially rare heavy meson decays, requires enormous computational resources. To simplify this process, we propose a new method to replicate simulated data using existing samples. Preliminary results of the algorithm are presented.

Speakers: Wojciech Krupa (AGH University of Science and Technology) , Mr Sowa Karol (AGH UST Krakow)
• 15:20
A modern machine learning approach to statistical estimation for particle mass modeling 20m

The poster gives an overview of possible new methods in statistical estimation, an alternative to maximum likelihood methods and originating from computational intelligence. Recent advances in the machine learning field, such as Generative Adversarial Networks (GAN), are mentioned, along with their potential role in mass spectrum modeling.

Speakers: Pawel Kopciewicz (AGH) , Mr Michał Kacprzak
• 16:00 18:30
City tour 2h 30m 1.20

### 1.20

#### D-17

street Kawiory 21

The Princes Czartoryski Museum and the north part of the Old Town of Kraków

• Wednesday, 8 June
• 09:00 10:20
QCD theory and experiment: Block 1 1.20

### 1.20

#### D-17

street Kawiory 21
Convener: Nickolas Solomey (Wichita State University)
• 09:00
Exploring the QCD phase diagram with heavy-ion collisions 30m

QCD introductory talk

Speaker: Prof. Adam Bzdak (AGH-UST Kraków)
• 09:30
ATLAS measurements of correlations between Upsilon mesons and inclusive charged particles 25m

This talk presents a new measurement studying the relationship between the production of hard and soft particles through the correlation of Upsilon meson states with the inclusive-charged particle yields in 13 TeV pp collisions. Measurements are made differentially for Upsilon momentum and for different Upsilon states. The analysis is performed using the full-luminosity ATLAS Run-2 13 TeV pp data. This measurement benefits from the heavy-ion style approach to remove the combinatorial and pileup backgrounds leading to increased sensitivity. A description of the technical challenges associated with a heavy-ion style analysis in high-pileup pp data will be shown, as well as the results and their physics implications.

Speaker: Iakov Aizenberg (Weizmann Institute of Science)
• 09:55
Missing beauty of proton-proton interactions 25m

Multiparton interactions in proton-proton collisions have long been a topic of great interest. A new look at them has begun to emerge from work being done to understand the dynamics of ‘small systems’, a topic that is taking center stage in the physics of relativistic heavy-ion interactions. Numerous studies conducted at the LHC and lower energies reveal that proton-proton collisions at high energy form a system in which final state interactions substantially impact experimentally observable quantities in the soft sector. However, until recently, no evidence was shown that final state interactions could also affect observables produced in the hard scattering processes. Studies performed by the LHC experiments present strong evidence that the final state interactions in proton-proton collisions have a drastic impact on the b-quark bound states production, whose yields may be reduced by more than a factor of two.

Speaker: Alexander Milov (Weizmann Institute of Science)
• 10:20 10:50
Coffee break 30m 1.20

### 1.20

#### D-17

street Kawiory 21
• 10:50 12:05
QCD theory and experiment: Block 2 1.20

### 1.20

#### D-17

street Kawiory 21
Convener: Nickolas Solomey (Wichita State University)
• 10:50
CP violation in D decays to two pseudoscalars: A SM-based calculation 25m

In 2019 the LHCb experiment discovered for the first time a clear signal of direct CP violation in the charm meson decays to $\pi^+\pi^-$ and $K^+K^-$, a result which is expected to be further refined in the upcoming decade. However, the theoretical SM determination of the strong part of those amplitudes remains incomplete up to date. In this work, we make use of dispersion relations to properly treat final-state interactions in the 2-channel case, with the strong mixing matrix being extracted from data on pion and kaon rescattering. The results of our method are then inputted into a global fit to current experimental data on branching fractions and CP asymmetries in order to extract the magnitude of penguin diagrams.

Speaker: Eleftheria Solomonidi (IFIC (CSIC-Univ. of Valencia))
• 11:15
Charm and beauty production and hadronization with the ALICE experiment 25m

Heavy-flavor quarks (charm and beauty) are produced in early partonic processes of high-energy collisions, thus they provide a unique opportunity to probe the entire evolution of the strongly interacting system. Heavy-flavor production in proton-proton collisions serves as fundamental benchmark for QCD calculations and flavor-dependent fragmentation in the mesonic and baryonic sector. Conversely, in heavy-ion collisions it allows for the detailed mapping of transport properties, collective motion and the thermalization of the hot nuclear matter. This contribution will summarize some of the most interesting recent results from the ALICE experiment. Among those we will show the cross-section of heavy-flavor (beauty and $D^0$-tagged) jets, in pp collisions down to unprecedentedly low momenta, as well as the nuclear modification of b-jets in p-Pb, and D0-jets in Pb-Pb collisions at $\sqrt{s_{NN}}$=5.02 TeV. D-h correlations, addressing charm meson fragmentation at $\sqrt{s}$=13 TeV will also be shown. Comparison of the nuclear modification of non-prompt $D^0$ to that of prompt $D^0$ in Pb-Pb collisions at $\sqrt{s_{NN}}$=5.02 TeV, and the the first measurement of non-prompt D-mesons elliptic flow in Pb-Pb collisions will be presented. Heavy-flavor fragmentation into baryons challenges existing theoretical approaches. We present recent results of $D^0$, $D^+$ and $D_s^+$ mesons as well as new final measurements of $\Lambda_c^+$, $\Sigma^{0,+}_c$, $\Sigma^{0,++}_c$ and the first measurement of $\Omega^0_c$ baryons, performed with the ALICE detector at midrapidity in pp collisions at $\sqrt{s}$=5.02 and $\sqrt{s}$=13 TeV. Furthermore, we also show new results on the charm fragmentation fractions at $\sqrt{s}$=13 TeV.

Speaker: Robert Vertesi (Wigner Research Centre for Physics)
• 11:40
Time-like Electromagnetic Form Factors of Hyperon at BESIII 25m

Hyperons provide an unique avenue to study the strong interaction in baryon structure.
Due to their limited life time, the production in e+e- annihilations is the only viable way to obtain information on the hyperon structure and internal dynamics through their electromagnetic form factors. With the unique data sets obtained by the BESIII collaboration, the pair production cross sections for Lambda, Sigma, Xi, and Lambda_c are studied from threshold, where some abnormal threshold effects are observed. Using the self-analyzing weak decays of the Lambda and Lambda_c, the relative phase between the electric and magnetic form factors is measured. In this presentation the latest results at BESIII are discussed.

Speaker: Karin Schönning
• 12:05 13:05
Lunch break 1h 1.20

### 1.20

#### D-17

street Kawiory 21
• 16:00 18:30
City tour 2h 30m 1.20

### 1.20

#### D-17

street Kawiory 21

Kazimierz - the Jewish and Christian part

• 18:30 20:00
Conference Dinner 1h 30m Szara restaurant

#### Szara restaurant

Szara Kazimierz, Szeroka 39
• Thursday, 9 June
• 09:00 10:20
New experiment session: Block 1 1.20

### 1.20

#### D-17

street Kawiory 21
Convener: Artur Ukleja (National Centre for Nuclear Research)
• 09:00
How Unitarity in CKM Matrix of quark interactions was proven correct 30m

In 1993 a new Hyperon Beta Decay study was introduced into the KTeV experiment and although it only collected less than a 1000 events it had a major impact, because it was the first to show that the CKM matrix obeyed Unitarity. This new ideas was introduced by a new post-doc just starting his career and the 98% analyzing power of these Hyperon decays allowed us to study beta decay form factors and Branching ratio, which showed that the CKM matrix element Vus that had historically been used for 35 years was wrong and that this correction changed Vus by 6 sigma and brought a new understanding to quark flavor physics proving it obeyed Unitarity. Today this result has been confirmed by two subsequent measurements and Unitarity in the CKM matrix is a guide for a similar matrix in neutrino oscillation and continues to have an important impact on particle physics. This historical perspective shows that small new measurements can still be added to large experiments to produce major new important results.

Speaker: Nick Solomey (Wichita State University)
• 09:30
Measurement of Beam Polarization at an $e^+e^-$ $B$-Factory with New Tau Polarimetry Technique 25m

Belle II is considering upgrading SuperKEKB with a polarized electron beam. The introduction of beam polarization to the experiment would significantly expand the physics program of Belle II in the electroweak, dark , and lepton flavor universality sectors. For all of these future measurements a robust method of determining the average beam polarization is required to maximize the level of precision. The BABAR experiment has developed a new beam polarimetry technique, Tau Polarimetry, capable of measuring the average beam polarization to better than half a percent. Tau Polarimetry strongly motivates the addition of beam polarization to SuperKEKB and could also be used at future $e^+e^-$ colliders such as the ILC.

Speaker: Caleb Miller
• 09:55
Prospects of $B^+_c$ and $B^+$ to $\tau^+ \nu_{\tau}$ decays at FCC-ee 25m

The Z-pole operation at FCC-ee presents an unprecedented opportunity for heavy flavor physics, as the production of $5 \times 10^{12}$ Z bosons will result in about $8 \times 10^{11}$ b-quark pairs. Among all species of B hadrons produced at FCC-ee, the purely leptonic decays of the $B^+_c$ and $B^+$ mesons are the cleanest experimental probes to measure the off-diagonal CKM elements $|V_{cb}|$ and $|V_{ub}|$, and are highly sensitive to test BSM models such as charged Higgs bosons and leptoquarks. A complete feasibility study of the $B^+_c$ to $\tau^+ \nu_{\tau}$ measurement at FCC-ee is performed and its phenomenological impact on various new physics scenario is explored. Recent develops has also been made on the measurement of the $B^+$ to $\tau^+ \nu_{\tau}$ decay, demonstrating the feasibility of this measurement with a precision comparable to that of $B^+_c$. This set of work also showcases the FCC-ee analysis workflow fully based on common software tools from EDM4hep through to final analysis.

Speaker: Dr Xunwu Zuo (Karlsruhe Institute of Technology)
• 10:20 10:50
Coffee break 30m 1.20

### 1.20

#### D-17

street Kawiory 21
• 10:50 12:05
New experiment session: Block 2 1.20

### 1.20

#### D-17

street Kawiory 21
Convener: Artur Ukleja (National Centre for Nuclear Research)
• 10:50
MUonE experiment at SPS 25m

MUonE experiment is planned to be operating at the SPS accelerator in 2022-2023 (pilot run) and 2023-27. The MUonE project provides a great potential to search for New Physics in the sector of anomalous muon magnetic moment a_μ, independently from the searches at LHC. The discrepancy between the most accurate determination of a_μ and the Standard Model predictions lies in the 4.2 standard deviations range, being a basis for a series of pioneering experiments expected to improve the precision of a_μ determination by a factor of four. Nevertheless, an analogous improvement is therefore required in the precision of theoretical prediction, dominated by uncertainty related to hadronic contribution, expected to be the main limitation of potential discovery. MUonE experiment will allow for a precise measurement of hadronic contribution to a_μ employing the measurement of shape of the differential cross section for the μe -> μe elastic process. This would help to increase the significance of observed discrepancy to the level of 7 standard deviations.

Speaker: Marcin Kucharczyk (IFJ PAN)
• 11:15
Physics prospects, experimental challenges - LHCb Upgrade 2 25m

The second upgrade of the LHCb detector is planned for the long shutdown
4 of the LHC. In this upgrade, part of the existing spectrometer will be replaced and new tracking detectors allowing for time measurements will be installed. This upgrade will enable the exploitation of the physics potential of the high-luminosity LHC runs. The corresponding data sets will provide heavy flavour results with unprecedented precision as well as significantly increase the sensitivity of BSM searches with displaced vertices. In this talk, the physics goals of Upgrade 2 will
be reviewed, as well as the detector design and technology options which
will allow for meeting the desired specifications.

Speaker: Agnieszka Obłąkowska-Mucha (AGH-UST Krakow)
• 11:40
A new Scattering and Neutrino Detector at the LHC (SND@LHC) 25m

SND@LHC is a compact and stand-alone experiment to perform measurements with neutrinos produced at the LHC in a hitherto unexplored pseudo-rapidity region of 7.2 < 𝜂 < 8.6, complementary to all the other experiments at the LHC. The experiment is to be located 480 m downstream of IP1 in the unused TI18 tunnel. The detector is composed of a hybrid system based on an 800 kg target mass of tungsten plates, interleaved with emulsion and electronic trackers, followed downstream by a calorimeter and a muon system. The configuration allows efficiently distinguishing between all three neutrino flavours, opening a unique opportunity to probe physics of heavy flavour production at the LHC in the region that is not accessible to ATLAS, CMS and LHCb. This region is of particular interest also for future circular colliders and for predictions of very high-energy atmospheric neutrinos. The detector concept is also well suited to searching for Feebly Interacting Particles via signatures of scattering in the detector target. The first phase aims at operating the detector throughout LHC Run 3 to collect a total of 250 fb−1. The experiment was recently installed in the TI18 tunnel at CERN and has seen its first data. A new era of collider neutrino physics is just starting.

Speaker: Antonio Iuliano (Università di Napoli Federico II and INFN)
• 12:05 13:10
Lunch break 1h 5m 1.20

### 1.20

#### D-17

street Kawiory 21
• 13:10 14:25
Supersymmetry and BSM: Block 1 1.20

### 1.20

#### D-17

street Kawiory 21
Convener: Wojciech Krupa (AGH University of Science and Technology)
• 13:10
J/\psi photoproduction in semi-peripheral heavy-ion collisions 25m
Speaker: Mariola Kłusek-Gawenda (INP PAS)
• 13:35
Searches for Supersymmetry with the ATLAS detector 25m

Supersymmetry (SUSY) provides elegant solutions to several problems in the Standard Model, and searches for SUSY particles are an important component of the LHC physics program. This talk will present the latest results from SUSY searches conducted by the ATLAS experiment. The searches target multiple final states and different assumptions about the decay mode of the produced SUSY particles, including searches for both R-parity conserving models and R-parity violating models and their possible connections with the recent observation of the favour and muon g-2 anomalies. The talk will also highlight the employment of novel analysis techniques, including advanced machine learning techniques and special object reconstruction, that are necessary for many of these analyses to extend the sensitivity reach to challenging regions of the phase space.

Speaker: Flera Rizatdinova (Oklahoma State U)
• 14:00
Search for low-mass New Physics states at BABAR (cancelled) 25m

We present here the most recent BABAR results on searches for new particles with masses below the electroweak scale predicted by many extensions of the Standard Model (SM). The results are based on the full data set of about 500 $\text{fb}^{-1}$ collected at a center-of-mass energy close to 10 GeV by the BABAR detector at the $e^+e^-$ PEP-II collider. They include the search for a light dark-matter bound state (the darkonium, $\Upsilon_D$) produced in $e^+e^-\to \gamma\Upsilon_D$, with $\Upsilon_D\to A’A’A’$ and the dark photons $A’$ decaying to pair of leptons or pions. We present also a search for an Axion-Like Particle, $a$, produced in the Flavor-Changing Neutral-Current decay $B\to K a$, with $a\to \gamma\gamma$, which is expected to be competitive with the corresponding SM electroweak processes. Finally, we show the results of a search for Heavy Neutral Leptons of masses between 100 MeV and 1.3 GeV in $\tau$ decays.

Speaker: Brian Shuve
• 14:25 14:55
Coffee break 30m 1.20

### 1.20

#### D-17

street Kawiory 21
• 14:55 15:55
New experiment session: New experiments and phenomena 1.20

### 1.20

#### D-17

street Kawiory 21
Convener: Wojciech Krupa (AGH University of Science and Technology)
• 14:55
ATLAS results on exotic hadronic resonances 25m

Recent results from the proton-proton collision data taken by the ATLAS experiment on exotic resonances will be presented. A search for $J/\psi p$ resonances in $\lambda_{b}\rightarrow J/\psi p K$ decays with large $p K$ invariant masses will be reported. Searches for exotic resonances in 4 muon final states will be shown.

Speaker: Yue Xu
• 15:20
Searches for vector-like quarks with the ATLAS detector 25m

Vector like quarks appear in many theories beyond the Standard Model as a way to cancel the mass divergence for the Higgs boson. The talk will focus on the most recent results using 13 TeV pp collision data collected by the ATLAS detector. This presentation will address the analysis techniques, in particular the selection criteria, the background modelling and the related experimental uncertainties. The results and the complementarity of the various searches, along with the phenomenological implications, will be discussed.

Speaker: Joe Haley (Oklahoma State University)
• 16:00 17:30
City tour 1h 30m 1.20

### 1.20

#### D-17

street Kawiory 21

The Wawel Hill and its surroundings

• Friday, 10 June
• 09:00 12:00
New experiment session: Block 1 1.20

### 1.20

#### D-17

street Kawiory 21
Convener: Saliha Bashir (AGH University of Science and Technology)
• 09:00
The future of Machine Learning in data analysis 30m

New methods for data analysis, including machine learning techniques, will be discussed during this presentation.

Speaker: Prof. Tomasz Szumlak (AGH-UST Kraków)
• 09:30
Charmed baryons at LHCb 20m

The LHCb experiment collected the world's largest sample of charmed hadrons during LHC Run 1 and Run 2. With this data set, LHCb is currently providing the world's most precise measurements of properties (including searches for CP violation) and production of known charmed baryons, as well as discovering many previously unobserved states. The latest results from the LHCb Collaboration on charmed baryons are presented, with focus on searches for CPV.

Speaker: Jakub Ryżka (AGH UST)
• 09:50
Light cone wave functions in the context of space like transition formfactors and prompt hadroproduction of ηc(1S, 2S) 25m

We review results of pseudoscalar S-wave ηc(1S, 2S) quarkonia electromagnetic form factors for the ,(gamma star gamma star)->ηc) couplings
as well as their hadroproduction observables in kt-factorisation using the light-cone (LC) potential approach for the quarkonium wave function. The electromagnetic form factors are presented as functions of both photon virtualities. The light cone quarkonium wave functions are obtained in two steps. Firstly, the radial part of the wave function is obtained as a solution of the Schrödinger equation for five different cc potential models, then using Terentev prescription, they are translated to light-cone "radial" wave functions.We investigate the effects of the so-obtained form factors in the context of proton-proton collision, by taking into account the proper color factors and coupling constants for the off-shell gluon-gluon fusion to the meson. We have collated our findings with LHCb data for prompt production of at 7 TeV,, 8 TeV and 13 TeV.

Speaker: Izabela Babiarz
• 10:15
Coffee break 30m
• 10:45
SU(3) flavor symmetry breaking in B → DD¯ decays 25m

The weak interaction of B → DD¯ decays can be studied in the frame work of heavy flavor Effective Field Theory(EFT). An
alternative approach would be to assume flavor SU(3) symmetry between u,d and s quarks to study such (b → cc¯q¯) decays.
However, due to the mass difference (ms ? mu, md), in nature one has this flavor symmetry being broken. We calculated the
decay observables for B → DD¯ considering both exact and broken SU(3) symmetry. We performed numerical fitting of the
observables with the available data (LHCb, Belle, BaBar). We have found that the broken SU(3) picture explain the data
with more accuracy than the unbroken one. The similar SU(3) breaking effect in such decay channel is studied in terms of
topological amplitudes. Also, the sum rules between the decay modes are constructed and checked at the decay-width level
for before and after symmetry breaking.

Speaker: Rupam Samanta (AGH University of Science and Technology)
• 11:10
Influence of Pythia parameters on event multiplicity 25m

Pythia 8.3 is an evolving physics event generator tool used in particle physics experiments for the modelling of hadronic events. The events are controlled by various parameters which could be tuned to match the real data. This talk investigates how various parameters in Pythia simulation influence the hadron multiplicities in proton-proton collisions at 14 TeV centre-of-mass-energy.

Speaker: Saliha Bashir (AGH University of Science and Technology)
• 12:05 13:35
Lunch break 1h 30m 1.20

### 1.20

#### D-17

street Kawiory 21
• 16:30 18:00
City tour 1h 30m

The Oskar Schindler’s Enamel Factory


text:
10.4 Polar coordinates: graphs

 Page 1 / 16
In this section you will:
• Test polar equations for symmetry.
• Graph polar equations by plotting points.

The planets move through space in elliptical, periodic orbits about the sun, as shown in [link] . They are in constant motion, so fixing an exact position of any planet is valid only for a moment. In other words, we can fix only a planet’s instantaneous position. This is one application of polar coordinates    , represented as $\text{\hspace{0.17em}}\left(r,\theta \right).\text{\hspace{0.17em}}$ We interpret $\text{\hspace{0.17em}}r\text{\hspace{0.17em}}$ as the distance from the sun and $\text{\hspace{0.17em}}\theta \text{\hspace{0.17em}}$ as the planet’s angular bearing, or its direction from a fixed point on the sun. In this section, we will focus on the polar system and the graphs that are generated directly from polar coordinates.

Testing polar equations for symmetry

Just as a rectangular equation such as $\text{\hspace{0.17em}}y={x}^{2}\text{\hspace{0.17em}}$ describes the relationship between $\text{\hspace{0.17em}}x\text{\hspace{0.17em}}$ and $\text{\hspace{0.17em}}y\text{\hspace{0.17em}}$ on a Cartesian grid, a polar equation describes a relationship between $\text{\hspace{0.17em}}r\text{\hspace{0.17em}}$ and $\text{\hspace{0.17em}}\theta \text{\hspace{0.17em}}$ on a polar grid. Recall that the coordinate pair $\text{\hspace{0.17em}}\left(r,\theta \right)\text{\hspace{0.17em}}$ indicates that we move counterclockwise from the polar axis (positive x -axis) by an angle of $\text{\hspace{0.17em}}\theta ,\text{\hspace{0.17em}}$ and extend a ray from the pole (origin) $\text{\hspace{0.17em}}r\text{\hspace{0.17em}}$ units in the direction of $\text{\hspace{0.17em}}\theta .\text{\hspace{0.17em}}$ All points that satisfy the polar equation are on the graph.

Symmetry is a property that helps us recognize and plot the graph of any equation. If an equation has a graph that is symmetric with respect to an axis, it means that if we folded the graph in half over that axis, the portion of the graph on one side would coincide with the portion on the other side. By performing three tests, we will see how to apply the properties of symmetry to polar equations. Further, we will use symmetry (in addition to plotting key points, zeros, and maximums of $\text{\hspace{0.17em}}r\right)\text{\hspace{0.17em}}$ to determine the graph of a polar equation.

In the first test, we consider symmetry with respect to the line $\text{\hspace{0.17em}}\theta =\frac{\pi }{2}\text{\hspace{0.17em}}$ ( y -axis). We replace $\text{\hspace{0.17em}}\left(r,\theta \right)\text{\hspace{0.17em}}$ with $\text{\hspace{0.17em}}\left(-r,-\theta \right)\text{\hspace{0.17em}}$ to determine if the new equation is equivalent to the original equation. For example, suppose we are given the equation $\text{\hspace{0.17em}}r=2\mathrm{sin}\text{\hspace{0.17em}}\theta ;$

This equation exhibits symmetry with respect to the line $\text{\hspace{0.17em}}\theta =\frac{\pi }{2}.$

In the second test, we consider symmetry with respect to the polar axis ( $\text{\hspace{0.17em}}x$ -axis). We replace $\text{\hspace{0.17em}}\left(r,\theta \right)\text{\hspace{0.17em}}$ with $\text{\hspace{0.17em}}\left(r,-\theta \right)\text{\hspace{0.17em}}$ or $\text{\hspace{0.17em}}\left(-r,\pi -\theta \right)\text{\hspace{0.17em}}$ to determine equivalency between the tested equation and the original. For example, suppose we are given the equation $\text{\hspace{0.17em}}r=1-2\mathrm{cos}\text{\hspace{0.17em}}\theta .$

The graph of this equation exhibits symmetry with respect to the polar axis.

In the third test, we consider symmetry with respect to the pole (origin). We replace $\text{\hspace{0.17em}}\left(r,\theta \right)\text{\hspace{0.17em}}$ with $\text{\hspace{0.17em}}\left(-r,\theta \right)\text{\hspace{0.17em}}$ to determine if the tested equation is equivalent to the original equation. For example, suppose we are given the equation $\text{\hspace{0.17em}}r=2\mathrm{sin}\left(3\theta \right).$

$\begin{array}{c}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}r=2\mathrm{sin}\left(3\theta \right)\\ -r=2\mathrm{sin}\left(3\theta \right)\end{array}$

The equation has failed the symmetry test , but that does not mean that it is not symmetric with respect to the pole. Passing one or more of the symmetry tests verifies that symmetry will be exhibited in a graph. However, failing the symmetry tests does not necessarily indicate that a graph will not be symmetric about the line $\text{\hspace{0.17em}}\theta =\frac{\pi }{2},\text{\hspace{0.17em}}$ the polar axis, or the pole. In these instances, we can confirm that symmetry exists by plotting reflecting points across the apparent axis of symmetry or the pole. Testing for symmetry is a technique that simplifies the graphing of polar equations, but its application is not perfect.

A laser rangefinder is locked on a comet approaching Earth. The distance g(x), in kilometers, of the comet after x days, for x in the interval 0 to 30 days, is given by g(x)=250,000csc(π30x). Graph g(x) on the interval [0, 35]. Evaluate g(5)  and interpret the information. What is the minimum distance between the comet and Earth? When does this occur? To which constant in the equation does this correspond? Find and discuss the meaning of any vertical asymptotes.
The sequence is {1,-1,1-1.....} has
how can we solve this problem
Sin(A+B) = sinBcosA+cosBsinA
Prove it
Eseka
Eseka
hi
Joel
June needs 45 gallons of punch. 2 different coolers. Bigger cooler is 5 times as large as smaller cooler. How many gallons in each cooler?
7.5 and 37.5
Nando
find the sum of 28th term of the AP 3+10+17+---------
I think you should say "28 terms" instead of "28th term"
Vedant
the 28th term is 175
Nando
192
Kenneth
if sequence sn is a such that sn>0 for all n and lim sn=0than prove that lim (s1 s2............ sn) ke hole power n =n
write down the polynomial function with root 1/3,2,-3 with solution
if A and B are subspaces of V prove that (A+B)/B=A/(A-B)
write down the value of each of the following in surd form a)cos(-65°) b)sin(-180°)c)tan(225°)d)tan(135°)
Prove that (sinA/1-cosA - 1-cosA/sinA) (cosA/1-sinA - 1-sinA/cosA) = 4
what is the answer to dividing negative index
In a triangle ABC prove that. (b+c)cosA+(c+a)cosB+(a+b)cisC=a+b+c.
give me the waec 2019 questions


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text:
# Give feedback

1. Article:
The $\overline\partial$-Neumann operator on strongly pseudoconvex domain with piecewise smooth boundary
2. Author:


text:
# Thread: Limit...

1. ## Limit...

$\lim [\frac{10^n+1}{2*10^n-1}]$

here is my work:
$\lim \frac{10^n(1+1)}{10^n(2*1-1)}$ = $\frac{2}{1}$
But that was wrong..correct answer was $\frac{1}{2}$

2. There is a mistake when you factorized : $10^n+1 = 10^n\left(1+\frac 1{10^n}\right)$

3. Originally Posted by Henryt999
$\lim [\frac{10^n+1}{2*10^n-1}]$
Assuming $\color{blue}n\to\infty$:
Devide top and bottom by $\color{blue}10^n$.


text:
# Chapter 1 - Review: 17

False.

#### Work Step by Step

Since $\sqrt 4$ $=$ $2$, and $2$ is a rational number it cannot be an element of set G.

After you claim an answer you’ll have 24 hours to send in a draft. An editor will review the submission and either publish your submission or provide feedback.


text:
MacroBase: Analytic Monitoring for the Internet of Things

Reference: Bailis, Peter, et al. "Macrobase: Prioritizing attention in fast data." Proceedings of the 2017 ACM International Conference on Management of Data. ACM, 2017.

0. Abstract

An increasing proportion of data today is generated by automated processes, sensors, and devices—collectively, the Internet of Things (IoT). IoT applications’ rising data volume, demands for timesensitive analysis, and heterogeneity exacerbate the challenge of identifying and highlighting important trends in IoT deployments. In response, we present MacroBase, a data analytics engine that performs statistically-informed analytic monitoring of IoT data streams by identifying deviations within streams and generating potential explanations for each. MacroBase is the first analytics engine to combine streaming outlier detection and streaming explanation operators, allowing cross-layer optimizations that deliver order-of-magnitude speedups over existing, primarily non-streaming alternatives. As a result, MacroBase can deliver accurate results at speeds of up to 2M events per second per query on a single core. MacroBase has delivered meaningful analytic monitoring results in production, including an IoT company monitoring hundreds of thousands of vehicles.

1. Introduction

• Three key characteristics of the Internet of Things(IoT) applications: (1) generate immense data volume; (2) often require timely analyses; (3) frequently exhibit heterogeneous behaviors.
• MacroBase: a new data analysis system specialized for high-performance analytic monitoring of IoT streams.

2. Target Environment

2.1 Analytic Monitoring Scenarios

• Mobile applications(e.g., CMT)
• Datacenter operation(e.g., Amazon AWS)
• Industrial Monitoring(e.g., explosion at Horsehead Holding Corp.’s Monaca)
• Streaming and Specialized Analytics
• Outlier Detection
• Data Explanation

3. MacroBase Architecture and APIs

Principles of Pipeline Design: (1) all operators operate over stream; (2) MacroBase uses compiler’s type system to enforce a particular pipeline structure.

Pipelines

1. Ingestion: MacroBase ingests data stream from a number of external data sources. Each data point contains a set of metrics, corresponding to IoT measurements(e.g., trip time, battery drain), and attributes, corresponding to metadata about the measurements(e.g., user ID and device ID). MacroBase uses metrics to detect abnormal or unusual events, and attributes to explain behaviors. In this paper, the authors only consider real-valued metrics and categorical attributes.
2. Feature Transformation: MacroBase executes a series of optional domain-specific data transformations over the stream, allowing operations including time-series operations(e.g., windowing, seasonality removal, autocorrelation, frequency analysis), and datatype-specific operations(e.g., hue extraction for images, optical flow for video).
3. Outlier Detection: labeling each Point as an inlier or an outlier based on its input metrics and producing a stream of labeled Point outputs.
4. Explanation: MacroBase performs summarization to generate explanations by finding attributes that are common among outliers and uncommon among stream inliers. MacroBase’s explanation operators are designed to emit explanation on demand, which act as streaming view maintainer whose output can be queried at any time.
5. Presentation: Most pipelines rank explanations before presentation according to statistics corresponding to each explanation. MacroBase’s default presentation mode is a static report rendered via a REST API or via a GUI.

Extensibility: (1) user can add new domain-specific feature transformations to the start of a pipeline without modifying the other operators; (2) users can input rules and/or labels to MacroBase to perform supervised classification; (3) users can write their own feature transformation, outlier detector, data explanation operators, and pipelines.

Operating Modes: (1) graphical front-end; (2) one-shot queries; (3) streaming queries.

4. MDP Outlier Detection

MDP -> MacroBase’s Default Operator Pipeline

4.1 Use of Robust Statistics

• Limitation of Z-Score: not robust to outliers
• Robust statistical estimation: finding statistical distributions for data that is mostly well-behaved but may contain a number of ill-behaved data points.
• Robust replacement for univariate data: Median Absolute Deviation(MAD) measures the median of absolute distance from each point in the sample to the sample median.
• Robust replacement for multivariate data: Minimum Covariance Determinant(MCD) estimator finds the tightest group of points that best represents a sample, and summarizes the set of points according to its location and scatter(i.e., covariance) in metric space by computing the Mahalanobis distance.
• Classifying Outliers: MDP uses a percentile-based cutoff over scores to identify the most extreme points in the sample. Points with scores above the percentile-based cutoff are classified as outliers, reflecting their distance from the body of the distribution.

4.2 MDP Streaming Execution

Training MAD or MCD in a streaming context is problematic because as the distribution within data streams change over time.

• The ADR maintains a sample of input data that is exponentially weighted towards more recent points, and the key difference from traditional reservoir sampling is that the ADR operates over arbitrary window sizes.
• MDP maintains an ADR sample of the detector input to periodically recompute its estimator and a second ADR sample of the outlier scores to periodically recompute its classification threshold.
• ADR employed a decay policy that decays in time, not number of tuples because tuple-at-a-time decay may skew the reservoir towards periods of high stream volume. MacroBase currently supports two decay policies: (1) time-based decay; (2) batch-based decay.
• MacroBase’s MDP uses the ADR to: (1) maintain inputs for training; (2) maintain percentile threshold.

5. MDP Outlier Explanation

5.1 Semantics: Support and OI-Ratio

• OI-Ratio: MDP finds combinations with high outlier-inlier(OI-Ratio), or the ratio of its rate of occurrence(i.e., support) in the outliers to its rate of occurrence(i.e., support) in the outliers to its rate of occurrence in the inliers, such that MacroBase is able to identify combinations of attribute values that are relatively uncommon in the inliers.
• Support: MDP finds combinations with high support, or occurrence(by count) in the outliers, such that MacroBase is able to optionally eliminate explanations corresponding to rare but non-systemic combinations.

5.2 Basic Explanation Strategy

Optimization

• Item ratios are cheap. MDP first computes OI-ratios for single attribute values, then computes attribute combinations using only attribute values with sufficient OI-ratios.
• Exploit cardinality imbalance. The cardinality of the outlier input stream by definition much smaller than that of the input stream. Accordingly, MDP only searches for attributes that were supported in the outliers to reduce the space of inlier attributes to explore.

Outlier-Aware Explanation Strategy

Algorithm and Data Structures

The authors decided on prefix-tree-based approaches inspired by FPGrowth. In brief, the FPGrowth algorithm maintains a frequency-descending prefix tree of attributes that can be subsequently by mined by recursively generating a set of “conditional” trees, which was fast and proved extensible in streaming implementation.

5.3 Streaming Explanation

Single Attribute Summarization

AMC: Amortized Maintenance Counter

• Limitation of Space-Saving algorithm: not efficient to update.
• By separation of insertion and maintenance, AMC allows: (1) constant-time insertion; (2) a range of maintenance policies, including a size-based policy and a variable period policy.
• AMC has three major differences compared to SpaceSaving: (1) AMC updates are constant time(hash table insertion) compare to O($log(\frac{1}{\epsilon})$) for SpaceSaving; (2) AMC has an additional maintenance step, which is amortized across all items seen in a window; (3) AMC has higher space overhead since it must maintain all items it has seen between maintenance windows.

Streaming Combinations

• MDP adapts a combination of two data structures: AMC for counting the frequent attributes, and a novel adaption of the CPS-tree to store frequent attributes.

6. Evaluation

• MacroBase’s MDP pipeline is accurate
• MacroBase can process up to 2M points per second per query on a range of real-world datasets;
• MacroBase’s cardinality-aware explanation strategy produces meaningful speedups(average: 3.2x speedup)
• MacroBase’s use of AMC is up to 500x faster than existing sketches on production IoT data.
• MacroBase’s architecture is extensible
Written on November 27, 2016


text:
Application Domains
New Software and Platforms
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography
 PDF e-Pub

## Section: New Software and Platforms

### ByMC

Byzantine Model Checker

Keywords: Model Checker - Distributed computing - Verification

Scientific Description: In recent work, we have introduced a series of techniques for automatic verification of threshold-guarded distributed algorithms that have the following features: (1) up to $t$ of $n$ processes may exhibit crash or Byzantine failures, (2) the correct processes count messages and progress when they receive sufficiently many messages, e.g., at least $t+1$, (3) the number $n$ of processes in the system is a parameter, as well as $t$, (4) and the parameters are restricted by a resilience condition, e.g., $n>3t$.

ByMC supports a parallel mode, which allows one to run verification experiments in an MPI cluster such as Grid5000 and Vienna Scientific Cluster.

Functional Description: ByMC implements several techniques for the parameterized verification of threshold-guarded distributed algorithms such as reliable broadcast, one-step Byzantine consensus, non-blocking atomic commit, condition-based consensus, and randomized consensus. The tool accepts two kinds of inputs: (i) threshold automata (the framework of our verification techniques) and (ii) Parametric Promela (which is similar to the way in which the distributed algorithms are presented in the distributed computing literature). Internally, the tool analyzes representative executions by querying an SMT solver. Apart from verification, ByMC also implements a technique for the automatic synthesis of threshold guards.

The tool can run on a single computer as well as in an MPI cluster, e.g., Grid5000 or Vienna Scientific Cluster.

News Of The Year: In 2019, we have shown how to apply ByMC to randomized fault-tolerant consensus algorithms such as randomized consensus by Ben-Or and RS-BOSCO. This result was presented at CONCUR 2019.

• Partner: Technische Universität Wien

• Contact: Igor Konnov


text:
# Atom Diagram - Delar av en Atom Storyboard av sv-examples

Ion Mobility-Mass Spectrometry Techniques for Determining

A teaspoon of  Neutron stars are composed of the densest form of matter known to exist in our universe, and thus provide a unique laboratory for exploring the properties of A neutron has a slightly larger mass than the proton. These are often given in terms of an atomic mass unit, where one atomic mass unit (u) is defined as 1/12th   24 Feb 2018 Neutron stars are city-size stellar objects with a mass about 1.4 times that of the sun. Born from the explosive death of another, larger stars,  structure of neutron stars. We demonstrate that currently available neutron star mass and radius measurements provide strong constraints on moments of inertia,   1: Neutron star mass measurements presented in the table below, sorted by increasing mass.

Conference poster, 1982. Author. Gunnar Skarnemark. Department of Nuclear Chemistry. Other publications  that predictions based on modern nuclear interactions derived within chiral effective field theory and the observation of two-solar-mass neutron stars result in a  that predictions based on modern nuclear interactions derived within chiral effective field theory and the observation of two-solar-mass neutron stars result in a  Mass measurements on neutron-deficient Sr and neutron-rich Sn isotopes with the ISOLTRAP mass spectrometer.

A neutron is considered a type of fermion because it has a spin = 1/2. The mass of a neutron is slightly greater than the mass of a proton, which is 1 atomic mass unit (amu).

## Detection of 59Ni by accelerator mass spectrometry

Neutron stars are particularly difficult, since they are relatively small and distant. Luckily for us, the recently-discovered phenomenon of rapid X-ray intensity oscillations may allow us, for the first time, to estimate both the mass and radius of some neutron stars and thus know their equation of state. Se hela listan på byjus.com The concept of neutron star maximum mass is revisited.

### The Peculiar Type Ic Supernova 1997ef: Another Hypernova

The neutron has no measurable electric charge. Neutronen är en subatomär partikel som tillsammans med protoner bildar en atomkärna. Olika antal neutroner i kärnan ger upphov till olika isotoper av ett grundämne. Neutronen har ingen elektrisk laddning, den är neutral, har spinn ½, och massan 939,573 MeV/c². Neutronen är en baryon som tillhör familjen hadroner, och består alltså av tre kvarkar, närmare bestämt en upp-kvark och två ner-kvarkar.

The charge of the neutron is null, which implies that neutron is electrically neutral. Neutron is located inside the nucleus.

Mass of One Neutron The mass of a free neutron is 1.6749286 x 10⁻²⁷ kg or 939,565,346 eV/c ² . In common particle physics, units of mass and energy are interchangeable. Using the exact masses of 115B, 42He and 147N and the maximum energy of the neutron excited by the rays of polonium, one may calculate for the neutron a mass 1.0068 (taking 16O = 16).1 The mass of a neutron is about 1.675 × 10 −27 kg or 939, 565, 413.3 eV / c 2, or 1.00866491588 u. The mean square radius of it’s about 0.8 × 10 –15 m or 0.8 fm, and is a spin – ½ fermion. Properties of neutrons Although the mass of a proton and a neutron are comparable, especially compared with the much lighter electron, a neutron is slightly more massive than a proton.

Se hela listan på byjus.com The concept of neutron star maximum mass is revisited. In particular we show that when the dynamical processes occuring in the first few seconds after the neutron star birth are considered, the concept of neutron star maximum mass, as introduced by Oppenheimer and Volkoff, is partially inadequate. A neutron star cannot be more massive than 3. MA, a limit set by general re-lativity. It is likely that the maximum neu-tron-star mass is determined by the stiffness of the EOS, and is expected to be about .5 MA. Neutron stars also have a minimum mass limit. The minimum stable neutron-star mass is about 0.1 MA, Phisics - electrostatic Neutron Mass is on Facebook. Join Facebook to connect with Neutron Mass and others you may know.
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A neutron star has a mass of about 1.4 times the mass of the sun, but is not much bigger than a small city, about 15 km in radius. A teaspoon of  Neutron stars are composed of the densest form of matter known to exist in our universe, and thus provide a unique laboratory for exploring the properties of A neutron has a slightly larger mass than the proton. These are often given in terms of an atomic mass unit, where one atomic mass unit (u) is defined as 1/12th   24 Feb 2018 Neutron stars are city-size stellar objects with a mass about 1.4 times that of the sun. Born from the explosive death of another, larger stars,  structure of neutron stars. We demonstrate that currently available neutron star mass and radius measurements provide strong constraints on moments of inertia,   1: Neutron star mass measurements presented in the table below, sorted by increasing mass. The letter C in parentheses indicates a companion to a pulsar that  Hydrogen has no neutron, deuterium has one, and tritium has two neutrons.

What are synonyms for Neutron mass? 2010-10-27 · New observations of the binary millisecond pulsar J1614-2230 have identified one of its components as the most massive neutron star for which a precise mass is known — nearly 20% greater than Dacă un neutron se dezintegrează, acesta se separă într-un proton, un electron și un neutrin. Ajunși, prin ciocniri succesive, la energii joase și la un grad ridicat de imprăștiere, neutronii se comportă ca un gaz molecular care difuzează. For example, 63 Cu (29 protons and 34 neutrons) has a mass number of 63 and an isotopic mass in its nuclear ground state is 62.91367 u. There are two reasons for the difference between mass number and isotopic mass, known as the mass defect: The neutron is slightly heavier than the proton. A neutron star is the densest object astronomers can observe directly, crushing half a million times Earth's mass into a sphere about 12 miles across, or similar in   22 Aug 2020 The fundamental (f-) mode gravitational waves from cold low-mass neutron stars are systematically studied with various equations of state (EOSs)  The mass of a neutron is roughly equal to 1.008 atomic mass units. When converted into kilograms, the mass of the neutron can be approximated to 1.674* 10-27  neutron-electron mass ratio $m_{\rm n}/m_{\rm e}$.
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### Oskar Klein Centre - Inlägg Facebook

or 1.6749 x 10-27 kg. Compartive mass: Neutron is 1842 times heavier than an electron. Location in the atom: Neutrons are present in the nucleus of an atom. Mass of neutrons The mass of a neutron is about 1.675 × 10 −27 kg or 939 , 565 , 413.3 eV / c 2 , or 1.00866491588 u.

Open call göteborg
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### Double-humped Super-luminous Supernovae

Location in the atom: Neutrons are present in the nucleus of an atom. Mass of a neutron is a sum of the masses of composing it quarks plus mass equivalent of the strong interaction which is almost 98% of the total neutron mass. Its mass is slightly higher than than that of a proton which has great consequences for the neutron to proton ratios in nuclei and their stability. 67 rows The same value as the mass of a neutron. Mass of One Neutron The mass of a free neutron is 1.6749286 x 10⁻²⁷ kg or 939,565,346 eV/c².


text:
# Embed a certain page of pdf doesn't work in callout

### Steps to reproduce

1. make a callout box (folded by default but I think it is the same if it is not defaulted to it)
2. Put a embed link of a page of a multipage pdf file in it.
3. then try to open the callout.

### Expected result

If I embed a pdf by page in a callout box, It is suppose to show the mentioned page not the first page of the document.

### Actual result

It only show the first page of a document. It is only going to show the page if in Livepreview mode I click the "<>"beside callout and then click on somewhere outside the callout block.

### Environment

• Operating system: Windows 10, Obsidian (installer) v0.15.9
• Debug info: OS:


text:
# How do EM Wave Boundary Conditions Comply with Conservation of Energy?

One of the boundary conditions of an EM wave crossing a boundary (dielectric materials, wave is TE polarized), where part of the wave is reflected and part is refracted, is

$$E+E'=E''$$

where E is the amplitude of the oscillating electric field of the incident wave, E' is that of the reflected wave, and E'' is that of the refracted or transmitted wave.

My concern is, how does this comply with conservation of energy? Especially in the case of going from high index of refraction to low index of refraction, so E' is in the same direction as E (no phase shift), it seems that an incident wave with some E is resulting in two new waves with E' and E'', where E'>0, and E''>E.

Doesn't this violate conservation of energy?

(Note: I have seen the proof of this boundary condition from Faraday's law with the shrinking loop and it makes sense to me, but I haven't been able to reconcile it with this problem.)

(I also considered that the transmitted wave might be moving slower than the incident wave, which would mean it has a smaller energy flux despite the higher E, but this is not the case when going from high to low index of refraction).

The boundary conditions for electromagnetic field of constant frequency $\omega>0$ at an interface of two media are that the tangential components (the components in the plane of the interface) of electric and magnetic fields $\overrightarrow{E}$ and $\overrightarrow{H}$ are continuous. If these conditions are satisfied, the normal component of the Poynting vector (which vector equals $\overrightarrow{E}\times\overrightarrow{H}$ up to a constant factor) is continuous at the interface, so the energy flux is the same from both sides of the interface.
• This is my intuition of energy conservation - what goes into some area (the energy of the incident wave), must come out (the sum of the energies of the reflected and transmitted waves). So is it correct to say $|S|sin\theta=|S'|sin\theta+|S''|sin\phi$ at the interface ($\theta$ and $\phi$ are the angles of incidence and refraction respectively)? If so, is there a way to show this is consistent with the boundary conditions? I used Snell's law to cancel every $sin\theta$ and substituted each S with its respective EXH, but couldn't get a clear result. If not, what's wrong with my intuition? – Benitok Dec 11 '16 at 17:38


text:
# passing a parameter to nested macro inside caption

I'm having a really hard time understanding this error in a massive document. I took the time to work out a "minimal example", so I could post the error with precision. Please, when trying to answer, do not change the structure, assuming this "toy example" could be rearranged easily. Thanks a lot. Here the example. Bellow it I would explain more about the attempts.

% By Dr. Beco - 60 games
\documentclass[a4paper,12pt]{article}

\usepackage[utf8]{inputenc} % accented chars
\usepackage[english]{babel} % translations
\usepackage{graphicx} % includegraphics
\usepackage[ps]{skak} % chess
\usepackage{float} % figure[H]
\usepackage{xstring} % get tokens

%%%%%%%%%%%%%%%%%%%%% define \variable = value
\newcommand{\setvalue}[2]
{
\ifdefined #1
\renewcommand{#1}{#2}
\else
\newcommand{#1}{#2}
\fi
}

%%%%%%%%%%%%%%%%%%%%% fill all needed variables for a section
\newcommand{\setsec}[6]
{
\setvalue{\gnumber}{#1}
\setvalue{\gcolor}{#2}
\setvalue{\gdate}{#3}
\setvalue{\gresult}{#4}
\setvalue{\gopening}{#5}
\setvalue{\gfirstmoves}{#6}
\mysec{\gnumber}{\gcolor}{\gdate}{\gresult}{\gopening}{#6}
}

%%%%%%%%%%%%%%%%%%%%%%%%%%%% inicia seção
% parâmetros:
% #1 num. jogo
% #2 minha cor (W ou B)
% #3 Data
% #4 resultado (1:brancas, 0:pretas, 2:empate)
% #5 ECO code seguido do nome da abertura
% #6 Linha principal para mostrar a abertura
\newcommand{\mysec}[6]
{
\section*{Code #1#2, date: #3 result: #4 opening: #5}
\mygamesi{#1}{#2}{#5}{#6}
}

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% \mygamesi{Game Number}{Color}{Opening}{Moves}
\newcommand{\mygamesi}[4]
{
\newgame
\mainline{#4}
\begin{figure}[H]
\centering
\showboard
\caption{#1#2, #3}
\label{g1}
\end{figure}
}

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% show some variation on board
% #1 game number \gnumber
% #2 my color \gcolor
% #3 #2 label key for \ref{}
% #4 #3 variation to show (board and caption)
% optional #1 : s=show full var in caption, h=hide, only last move in caption
\newcommand{\myvar}[3][h]
{
\storegame{mainline}
\hidemoves{#3}
\begin{figure}[H]
\centering
\showboard

\ifthenelse{\equal{#1}{s}}{\caption{opt S:position after variation \protect\movecomment{#3}}}{}
\ifthenelse{\equal{#1}{h}}{\caption{opt H:position after variation \protect\movecomment{\protect\StrBefore[2]{#3}{ }} ... \lastmove{}}}{} %<<<<<<<<<<<<<<<<<

\label{gv}
\end{figure}
\restoregame{mainline}
}

%%%%%%%%%%%%%%%%%%%%%%%%%% fim de seção
% #1 num. jogo \gnumber
% #2 minha cor (W ou B) \gcolor
\newcommand{\myend}
{
\begin{figure}[H]
%   \includegraphics{\gnumber-graph.png}
[altern. text: evaluation graph]
\caption{\gnumber\gcolor, evaluation graph}
\label{ge}
\end{figure}
}

\tinyboard

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{document}

\setsec{1}{B}{2017.17.17}{0}{B00 Strange Defense}{1. e3 e5 2. d3 d4 3. Nc3 Bb4}

It was a serious game.

\mainline{4. a3 Bxc3+ 5. bxc3 dxe4 6. Qg4 Nf6 7. Qxg7
Rg8 8. Qh6 c5 9. Bg5 Ng4 }

after \variationcurrent{10. Qxh7 Qxg5 11. Qxe4 Nf6 12. Bb5+ Nbd7} you can see:

my var show:

\myvar[s]{v1}{10. Qxh7 Qxg5 11. Qxe4 Nf6 12. Bb5+ Nbd7}

my var hide:

\myvar[h]{v1}{10. Qxh7 Qxg5 11. Qxe4 Nf6 12. Bb5+ Nbd7}

White resigns

\myend

\end{document}

• Note: We are using PDFLatex
• The line with error is marked with %<<<<<<<<<<<<<<<<<

What I expect it to do

• \myvar[s] would show all chess moves inside the caption. That is working fine.
• \myvar[h] would show just the first move of the string, 3 dots, and the last move. That is unachievable.

The problem is that I can't give the skak command \movecomment{} a variable inside caption.

I've tried all combinations of \def and \edef, but I don't really understand those, so I prefer a LaTeX approach. I've tried \newcommand and DeclareRobustCommand also, and adding and removing \protect in many places on the way.

The idea is very simple: given a string with moves, say "1. e4 e5 2. d4 d5", I want the "first move", that is "1. e4". The skak package gives a lastmove that works inside captions, I even read its code. But I can't understand it to adapt.

My simple solution would be:

For example:

• \StrBefore[2]{#1}{ }[\firstmove]

and then

• \movecomment{\firstmove}

But who says this works? I've being trying and reading about this expansions and macros for sometime now, but I can't work it out.

Thanks any help.

Edited:

Also something that isn't working:

\newcommand{\setsec}[6]
{
\setvalue{\gnumber}{#1}
\setvalue{\gcolor}{#2}
\setvalue{\gdate}{#3}
\setvalue{\gresult}{#4}
\setvalue{\gopening}{#5}
\setvalue{\gfirstmoves}{#6}
\mysec{\gnumber}{\gcolor}{\gdate}{\gresult}{\gopening}{#6}
}

The last line should really be:

  \mysec{\gnumber}{\gcolor}{\gdate}{\gresult}{\gopening}{\gfirstmoves}

but alas...

Current solution (workaround)

• Inside command \myvar:

   \ifthenelse{\equal{#1}{s}}{\caption{THEN: position after variation \protect\movecomment{#3}}}{\caption{ELSE: position after variation \protect\movecomment{#1} \ldots\ \lastmove{}}}

• If the whole line is to be in caption:

    \myvar[s]{v1}{10. Qc4+ Kb8 11. Qd3 Qf6 12. Rd1 Qxf2}
% or
\myvar{v1}{10. Qc4+ Kb8 11. Qd3 Qf6 12. Rd1 Qxf2}

• If only first and last move is to be in caption:

    \myvar[22. Qc4+]{v1}{10. Qc4+ Kb8 11. Qd3 Qf6 12. Rd1 Qxf2}

Edited: removed package multicolumn - not a minimum example after all. ;)

• You use commands \mysec and \myend to enclose \begin{} and \end{} calls. I cannot help but believe that somewhere this approach will cause a crash. My understanding is that a better approach will be obtained by generating environments where the beginning and ending are not separated (and not themselves called within \newcommand). Have you tried using the built-in \newenvironment command or using commands in \usepackage{environ}? – Jeffrey J Weimer Sep 29 '18 at 14:35
• I see your point and I'm working towards this, probably I'll even need another question here somewhere in the future, but I'm optimist I can deal with that later. But this point is not related to this question itself. Please, if you can ofc, a little light in the passing parameters. – Dr Beco Sep 29 '18 at 14:40
• I've removed the package "multicolumn" from the "Minimal" example now. Thanks for poiting that out. – Dr Beco Sep 29 '18 at 14:44
• Thanks Jeffrey. If it helps you to just give it a try, focus on \StrBefore[2]{#1}{ }[\firstmove] where #1 is the string 1. e4 e5 2. d4 d5 and \movecomment{\firstmove} inside a caption. Any help is appreciated. Try to compile the code and, of course, you can change the code. Change any function. Any ideas I can get may help me to adapt it. – Dr Beco Sep 29 '18 at 15:37

This is a better MWE of the problem.

\documentclass[a4paper,12pt]{article}

\usepackage[ps]{skak} % chess
\usepackage{xstring} % get tokens

\begin{document}

Extracted String: \StrBefore[2]{10. Qxh7 Qxg5 11. Qxe4 Nf6 12. Bb5+ Nbd7}{ }

Move Comment: \movecomment{10. Qxh7 Qxg5 11. Qxe4 Nf6 12. Bb5+ Nbd7}

Reduced Move Comment: \movecomment{\StrBefore[2]{10. Qxh7 Qxg5 11. Qxe4 Nf6 12. Bb5+ Nbd7}{ }}

\end{document}

I believe this may show a fundamental issue within \movecomment. It may need a clever use of \expandafter. My attempts to solve it as such have failed.

Once the above works, you want to put this in yet another macro and use positional parameters. And then that gets put in yet another macro call that passes those parameters. I honestly fail to see that what you are doing is truly a best approach. I instead see an over-engineered approach that does not work directly at a minimum level, requires as-yet-unknown TeX-level primitive commands to force it to work even at a minimum level, and may then give even more problems once it is encapsulated in yet another layer of macros (upon macros upon macros) with positional parameters.

Ugh!

Here is a starting point to a cleaner approach. First, I avoid calling macros from within macros as well as passing parameters from one macro to another and then to yet another. Rather than struggle with searching the string to remove a part after a space, I just specify what is always wanted and what may be chosen to be hidden. Granted, you state this latter approach is a "work-around". I would however honestly take this "work-around" solution over what you are trying to do any day, even when what you have would work. Today the value of the position for the space you want to skip is [2]. Tomorrow, you may decide for your third example that skip value should be to [3]. Then, you have to re-hard code the LaTeX document to handle the case only at that point. In the approach below, you just have to change what is passed to the second and third parameters of the macro \myvar.

\documentclass[a4paper,12pt]{article}

\usepackage{graphicx} % includegraphics
\usepackage[ps]{skak} % chess
\usepackage{float} % figure[H]

\setlength{\parindent}{0em}

\newcommand{\setvalue}[2]
{
\ifdefined #1
\renewcommand{#1}{#2}
\else
\newcommand{#1}{#2}
\fi
}

\newcommand{\setsec}[5]
{
\setvalue{\gnumber}{#1}
\setvalue{\gcolor}{#2}
\setvalue{\gdate}{#3}
\setvalue{\gresult}{#4}
\setvalue{\gopening}{#5}
\section*{Code \gnumber\gcolor, date: \gdate result: \gresult opening: \gopening}
}

\newcommand{\mygamesi}[1]
{
\setvalue{\gfirstmoves}{#1}
\newgame
\mainline{#1}
\begin{figure}[H]
\centering
\showboard
\caption{\gnumber{}\gcolor{}\gdate{}}
\label{g1}
\end{figure}
}

\newcommand{\myvar}[3][h]
{
\storegame{mainline}
\hidemoves{#2 #3}
\begin{figure}[H]
\centering
\showboard
\ifthenelse{\equal{#1}{s}}
{\caption{opt S:position after variation \protect\movecomment{#2\ #3}}}
{\caption{opt H:position after variation \protect\movecomment{#3}} ... \lastmove{}}
\label{gv}
\end{figure}
\restoregame{mainline}
}

\newcommand{\myend}
{
\begin{figure}[H]
%   \includegraphics{\gnumber-graph.png}[altern. text: evaluation graph]
\caption{\gnumber\gcolor, evaluation graph}
\label{ge}
\end{figure}
}

\tinyboard

\begin{document}

\setsec{1}{B}{2017.17.17}{0}{B00 Strange Defense}

\mygamesi{1. e3 e5 2. d3 d4 3. Nc3 Bb4}

It was a serious game.

\mainline{4. a3 Bxc3+ 5. bxc3 dxe4 6. Qg4 Nf6 7. Qxg7
Rg8 8. Qh6 c5 9. Bg5 Ng4 }

after \variationcurrent{10. Qxh7 Qxg5 11. Qxe4 Nf6 12. Bb5+ Nbd7} you can see:

my var show:

\myvar[s]{10. Qxh7 Qxg5}{11. Qxe4 Nf6 12. Bb5+ Nbd7}

my var hide:

\myvar[h]{10. Qxh7 Qxg5}{11. Qxe4 Nf6 12. Bb5+ Nbd7}

White resigns
%
%\myend

\end{document}

I remain curious that someone will post a solution to the MWE that I have posted. But I'm not holding my breath.

• This seems to provide a document that compiles, but doesn't answer the question. – Werner Sep 30 '18 at 18:01
• Thanks, but this solution is already mentioned inside the question itself: Current solution (workaround). – Dr Beco Oct 1 '18 at 17:59
• As a workaround, it is fine, but I use latex for a long time now and I'm really wondering the intrinsic problem bellow this example. Why I can't figure out how to extract a part of a string and use it as parameter to call as many macros as I want, transparently. Somewhere in the cold there should be a trick to protect everything and work this out. – Dr Beco Oct 1 '18 at 18:00
• I leave my example posted, if nothing else because you were open to cleaner implementations of the approach that you took. – Jeffrey J Weimer Oct 2 '18 at 1:27
• Thanks a lot Jeffrey I +1 your answer and I'll wait also for some good soul to tackle the kernel of the problem (without holding my breath). If we can't find a solution, yours will be accepted in the (hopefully no so long) future. – Dr Beco Oct 3 '18 at 20:13


text:
# How to find intersections of hyperbolas by MATLAB

Let's have two hyperbolas given by equations:
$$\mathbf{r}^T\cdot \mathbf A_1\cdot\mathbf r+\mathbf b_1^T\cdot\mathbf r+c_1=0$$ $$\mathbf{r}^T\cdot \mathbf A_2\cdot\mathbf r+\mathbf b_2^T\cdot\mathbf r+c_2=0$$ where A is 2 x 2 matrix, r and b are 2 x 1 vectors, and c is scalar.

How can I find intersections of those two hyperbolas using Matlab?
I know, that there is non-linear equation to solve, but I have no idea which function to use and how. I will be very grateful for any kind of advice.

-
Since you're saying "hyperbolas", we can assume that $\mathbf r$ is a 2-vector? –  Ｊ. Ｍ. Feb 1 '12 at 0:12
Yes, you can. I hope its correct now. –  Crowley Feb 1 '12 at 0:21