Hidden Valley searches at CLIC

The sensitivity studies to observe long-lived particles predicted by a set of beyond the Standard Model theoretical models are reported. The analysis is based on a data sample of $e^+e^-$ collisions at sqrt(s) = 3 TeV, simulated with the CLIC_ILD detector model and corresponding to an integrated luminosity of 3 ab-1. Long-lived particle decay products are subsequently combined to reconstruct the parent bosons employing secondary vertices displaced from the beam axis. The upper limits on the production cross section for the long-lived particle lifetimes from 1 to 300 ps, masses between 25 and 50 GeV/c2, and a parent Higgs mass of 126 GeV/c2 are determined.Comment: Talk presented at the International Workshop on Future Linear Colliders (LCWS2018), Arlington, Texas, 22-26 October 2018. C18-10-2

Track finding with deep neural networks

High-energy physics experiments require fast and efficient methods for reconstructing the tracks of charged particles. The commonly used algorithms are sequential, and the required CPU power increases rapidly with the number of tracks. Neural networks can speed up the process due to their capability of modeling complex non-linear data dependencies and finding all tracks in parallel. In this paper, we describe the application of a deep neural network for reconstructing straight tracks in a toy two-dimensional model. It is planned to apply this method to the experimental data obtained by the MUonE experiment at CERN

Machine learning based event reconstruction for the MUonE experiment

A proof-of-concept solution based on the machine learning techniques has been implemented and tested within the MUonE experiment designed to search for New Physics in the sector of anomalous magnetic moment of a muon. The results of the DNN based algorithm are comparable to the classical reconstruction, reducing enormously the execution time for the pattern recognition phase. The present implementation meets the conditions of classical reconstruction, providing an advantageous basis for further studies

The analysis of suburban housing features based on the example of development investments realised in the vicinity of Krakow

Krakow, as many other developing metropolitan areas, undergoes dynamic suburban processes. Underinvested areas located in direct range of influence of large scale urban centers are becoming a scene of spontaneous city-creating processes. The paper presents results of analyses of new building complexes in the Krakow suburbia. Studies have proved weak spatial relation between particular investments, which may bear witness to an increasing role of network type relation in creating contemporary urban structures. Network type urban relations are not conducive to large-scale social structures in the way public spaces of streets and squares used to be in the traditional urban design. The “new order”, that is being shaped in suburban areas, seems to question some traditional social rules. Therefore the question of relation between these two: social and spatial dimensions of a city became up-to-date. Are new urban structures going to shape a new society, or maybe on the contrary – suburban neoplasm is a result of a contemporary civilization disease

Track Finding with Deep Neural Networks

High Energy Physics experiments require fast and efficient methods toreconstruct the tracks of charged particles. Commonly used algorithms aresequential and the CPU required increases rapidly with a number of tracks.Neural networks can speed up the process due to their capability to modelcomplex non-linear data dependencies and finding all tracks in parallel.In this paper we describe the application of the Deep Neural Networkto the reconstruction of straight tracks in a toy two-dimensional model. It isplanned to apply this method to the experimental data taken by the MUonEexperiment at CERN

Wpływ hałasu drogowego na ptaki

The dynamic development of road infrastructure negatively influences the natural environment and animals using habitats near roads. The main negative effects of this process are primarily: loss and fragmentation of habitats. Another problem is an increase in pollutants and noise intensity in the vicinity of roads. An important problem is negative influence of traffic noise on animals and especially birds. Road noise generate by vehicles disturb vocal communication between birds, mainly in the time of pair formation and early incubation period. Difficulties in communication evoked by noise seem to be one of the main problems in functioning in noisy surroundings. The main functions of birds’ singing are related with territorial defence and mating a partner. Another important effect on birds’ functioning near roads results in the masking of important biological signals due to noise. Masking important signals for territorial defence or partner selection can have as a consequence a negative influence on reproductive success. Species of birds which emit low frequency sounds are particularly exposed to this negative impact. As a results of traffic noise the changes in the volume and frequency of emitted sounds during singing are observed. Some authors pay attention to such factors as local climate or habitat and vegetation structure, because they have an important influence on the propagation of traffic noise. Most of the studies carried out previously concerns the breeding season, and only a few works to describe the impact of noise on birds during migration or wintering. The most frequently reported problem for researchers is to assess the densities of breeding birds near the roadside. The majority of species react with a drop in numbers at roadsides. There are species which are also known to appear with higher density at roadsides. Usually this is related with a richer plant vegetation structure at roadsides and the appearance of the so-called “edge effect”. Some results indicate that bird density at forest peripheries can reach values 40% higher than in the deep forest. An explanation of causes for such a state of matters are the higher numbers of invertebrates found at forest edges. The important factor influencing bird populations breeding at roadsides is also nest predation. Noise and visual disturbance can modifying predator pressure near roads.Szybki rozwój sieci drogowej oraz infrastruktury z nią związanej wywiera silną presję na środowisko oraz żywe organizmy, wykorzystujące siedliska zlokalizowane w pobliżu dróg. Negatywne skutki tego procesu polegają na utracie i fragmentacji siedlisk użytkowanych przez zwierzęta. Osobnym zagadnieniem jest wzrost zanieczyszczeń powietrza i gleby w sąsiedztwie szlaków komunikacyjnych. Ważnym problemem jest oddziaływanie hałasu na zwierzęta egzystujące w pobliżu dróg, w tym szczególnie na ptaki. Hałas generowany przez pojazdy zakłóca komunikację dźwiękową ptaków zwłaszcza w okresie formowania się par i wczesnej inkubacji jaj. Zasadnicze funkcje śpiewu ptaków to sygnalizacja rywalom własnego gatunku zajęcia terytorium oraz co najważniejsze przywabienie partnera. Hałaśliwe „tło” w sąsiedztwie drogi powoduje trudności w porozumiewaniu się osobników. Ogólnie zjawisko zakłócania komunikacji głosowej pomiędzy osobnikami przez hałas drogowy, wywołuje tzw. „maskowanie” ważnych sygnałów biologicznych. Najbardziej wrażliwe na wpływ hałasu drogowego okazują się gatunki wydające dźwięki o niskim paśmie częstotliwości ze względu na skuteczność ich maskowania przez hałas charakteryzujący się podobnym spektrum częstotliwości. W efekcie działania hałasu drogowego powstają zmiany w natężeniu a nawet częstotliwości śpiewu ptaków. Niektórzy autorzy zwracają również uwagę na modyfikujący wpływ czynników klimatycznych oraz struktury i typu siedliska w rozprzestrzenianiu się hałasu. Większość wykonanych dotychczas badań dotyczy okresu lęgowego, a tylko nieliczne prace zajmują się oddziaływaniem hałasu na ptaki w okresie migracji lub w okresie zimowania. Najczęściej podejmowanym zagadnieniem przez badaczy jest ocena zagęszczeń lęgowych ptaków przy drodze. W większości badań zaobserwowano spadek liczebności i bogactwa gatunkowego osobników w sąsiedztwie szlaków komunikacyjnych. Jednak niektóre gatunki ptaków, ze względu na tzw. „efekt krawędzi”, który modyfikuje zasobność bazy pokarmowej oraz mikroklimat, występują w większych zagęszczeniach właśnie przy drogach. Ważnym zagadnieniem jest również modyfikujący wpływ hałasu na drapieżnictwo przy drogach

Focus topics for the ECFA study on Higgs / Top / EW factories

In order to stimulate new engagement and trigger some concrete studies in areas where further work would be beneficial towards fully understanding the physics potential of an $e^+e^-$ Higgs / Top / Electroweak factory, we propose to define a set of focus topics. The general reasoning and the proposed topics are described in this document.Comment: v3: fixed spelling of two author

Measurement of the forward Z boson production cross-section in pp collisions at s=13\sqrt{s} = 13 TeV

A measurement of the production cross-section of Z bosons in pp collisions at $\sqrt{s} = 13$ TeV is presented using dimuon and dielectron final states in LHCb data. The cross-section is measured for leptons with pseudorapidities in the range $2.0 \eta 4.5$, transverse momenta $p_\text{T} 20$ GeV and dilepton invariant mass in the range $60 m(\ell\ell) 120$ GeV. The integrated cross-section from averaging the two final states is \begin{equation*}\sigma_{\text{Z}}^{\ell\ell} = 194.3 \pm 0.9 \pm 3.3 \pm 7.6\text{ pb,}\end{equation*} where the first uncertainty is statistical, the second is due to systematic effects, and the third is due to the luminosity determination. In addition, differential cross-sections are measured as functions of the Z boson rapidity, transverse momentum and the angular variable $\phi^*_\eta$