3,181 research outputs found
Survey of the ATLAS Pixel Detector Components
This document provides a description of the survey performed on different components of the ATLAS Pixel Detector at different stages of its assembly
ERA5 reanalysis for the data interpretation on polarization laser sensing of high-level clouds
Interpreting the results of a high-level clouds (HLCs) lidar study requires a comparison with the vertical proďŹles of meteorological quantities. There are no regular radiosonde measurements of vertical proďŹles of meteorological quantities in Tomsk. The nearest aerological stations are several hundred kilometers away from the lidar and perform radiosonde measurements only a few times a day, whereas lidar experiments are performed continuously throughout the day. To estimate meteorological conditions at the HLC altitudes, we propose to use the ERA5 reanalysis. Its reliability was tested by comparing with the data from ďŹve aerological stations within a radius of 500 km around Tomsk. A labeled database of the lidar, radiosonde, and ERA5 data (2016â2020) for isobaric levels 1000â50 hPa was created. The temperature reconstruction error over the entire altitude range was characterized by an RMSE of 0.8â2.8 âŚC, bias of 0â0.9, and Corr ~1. The accuracy of the relative vertical proďŹles (RMSE 25â40%, Bias 10â22%, and Corr <0.7) and speciďŹc humidity (RMSE 0.2â1.2 g/kg, Bias ~0 g/kg, and Corr ~0) at the HLC altitudes were unsatisfying. The ERA5 data on wind direction and speed for the HLC altitudes were promising
ATLAS Detector Paper Back-Up Note: Electrons and Photons
This is the supporting note to the ATLAS Detector paper for electron and photon reconstruction with the Inner Detector. It describes the software used to produce the results presented in the ATLAS Detector paper
ĐĐТУĐĐĐŹĐĐŤĐ ĐĐĐĐЧРĐĐĐЍШĐĐĐĐŻ ĐФФĐĐТĐĐĐĐХТРĐЍХШĐРШĐĐĐĐŤ ĐĐ ĐĄĐĐĐ ĐĐĐĐĐĐĐ ĐТĐĐĐ Đ ĐĐĐĐТĐĐŻ Đ ĐĐĄĐĄĐĐ
The education system continues to be the subject of attention of science and government, business and society. The authors express their own vision of progress based on cooperation of science and higher education.ХиŃŃоПа ОйŃĐ°ĐˇĐžĐ˛Đ°Đ˝Đ¸Ń ĐżŃĐžĐ´ĐžĐťĐśĐ°ĐľŃ ĐžŃŃаваŃŃŃŃ ĐżŃодПоŃОП Đ˛Đ˝Đ¸ĐźĐ°Đ˝Đ¸Ń Đ˝Đ°Ńки и вНаŃŃи, йиСноŃĐ° и ОйŃĐľŃŃва. ĐвŃĐžŃŃ Đ˛ŃŃкаСŃваŃŃ ŃОйŃŃвоннОо видонио Đ´ĐžŃŃĐ¸ĐśĐľĐ˝Đ¸Ń ĐżŃОгŃĐľŃŃĐ° на ĐžŃнОво вСаиПОдоКŃŃĐ˛Đ¸Ń Đ˝Đ°Ńки и вŃŃŃоК ŃкОНŃ
ĐĐĐĐĐЧĐĐĐĐ ĐŚĐĐТĐĐŤĐĽ Đ ĐĐĐĐĐĐ ĐĐĐĐŤĐĽ ĐĐТĐĐĐĐĐ ĐĐ ĐĐĐĐТРĐĐĐĐĐĐ ĐĐĐĐ: ĐĐĐĐĐĐĐЧĐĐĄĐĐĐ ĐĐĐĐĐĐТĐĐĐ
A process flow diagram for the complex differential extraction of precious and nonferrous metals from multi-component electronic scrap has been proposed for the purpose of improvement of the enterprise economic status in the secondary metallurgy. The advantages of the new technology and the results of extraction are given. The profit performances, which have been obtained as a result of introducing the technology, the together with the gold value as the main product during incidental extraction of other valuable components are presented. The efficiency coefficient of complex extraction of non-ferrous and precious metals is calculated by formula: K = Profit/Expenses. The effect of procurement prices on the profit is analyzed. The profit decrease per 1 ton of scrap is found to amount to 0,01 to 0,05 % with increasing the procurement price of up to 100 % for the content of precious metals at the rate of the Central Bank of Russia. Consequently, there is the possibility of significant growth of the procurement price for raw materials in comparison with the equilibrium prices of the market. The dependence of the annual profit on increased productivity for different scrap types has been analyzed. The compositions are recommended the procurement prices of which are to be increased. Realization the administrative impact on the scope of raw material supplies with the use of the pricing strategies is shown to be possible. The price increase for certain scrap types will provide the opportunity to attract suppliers, to increase the production, to expand the range of products, and obtain the additional income. Implementation of the proposed flowsheet for the complex recovery of valuable components from electronic scrap and the use of the raw materials procurement price increasing strategy for as a specific strategy for purchasing necessary resources and their distribution will allow us to improve the economic efficiency of the business activity. Increase in the profit will make possible the company to use it for realization of short- and long-term goals to improve their economic condition and strengthen the market position in the competitive environment.ĐŃодНОМона ŃĐľŃ
нОНОгиŃĐľŃĐşĐ°Ń ŃŃ
оПа Đ´ĐťŃ ĐşĐžĐźĐżĐťĐľĐşŃнОгО диŃŃĐľŃонŃиŃОваннОгО иСвНоŃĐľĐ˝Đ¸Ń ĐąĐťĐ°ĐłĐžŃОднŃŃ
и ŃвоŃĐ˝ŃŃ
ПоŃаННОв иС ПнОгОкОПпОнонŃнОгО ŃНокŃŃОннОгО НОПа c ŃоНŃŃ ŃĐťŃŃŃĐľĐ˝Đ¸Ń ŃкОнОПиŃĐľŃкОгО ŃĐžŃŃĐžŃĐ˝Đ¸Ń ĐżŃодпŃиŃŃĐ¸Ń Đ˛ŃĐžŃиŃнОК ПоŃаННŃŃгии. ĐŃодŃŃĐ°Đ˛ĐťĐľĐ˝Ń ĐżŃоиПŃŃĐľŃŃва нОвОК ŃĐľŃ
нОНОгии и ŃоСŃĐťŃŃĐ°ŃŃ Đ¸ĐˇĐ˛ĐťĐľŃониŃ. ĐŃĐ¸Đ˛ĐľĐ´ĐľĐ˝Ń ĐżĐžĐşĐ°ĐˇĐ°ŃоНи ĐżŃийŃНи, пОНŃŃаоПŃĐľ в ŃоСŃĐťŃŃĐ°ŃĐľ внодŃĐľĐ˝Đ¸Ń ŃĐľŃ
нОНОгии, c ŃŃĐľŃОП ŃĐ˝Đ¸ĐśĐľĐ˝Đ¸Ń ŃойоŃŃОиПОŃŃи СОНОŃĐ° как ĐžŃнОвнОгО ĐżŃОдŃĐşŃĐ° ĐżŃи пОпŃŃнОП иСвНоŃонии Đ´ŃŃгиŃ
ŃоннŃŃ
кОПпОнонŃОв. Đ Đ°ŃŃŃиŃĐ°Đ˝ кОŃŃŃиŃĐ¸ĐľĐ˝Ń ŃŃŃокŃивнОŃŃи кОПпНокŃнОгО иСвНоŃĐľĐ˝Đ¸Ń ŃвоŃĐ˝ŃŃ
и йНагОŃОднŃŃ
ПоŃаННОв пО ŃĐžŃĐźŃНо: K = ĐĐžŃ
Од / ĐĐ°ŃŃĐ°ŃŃ. ĐŃОанаНиСиŃОванО вНиŃнио на ĐżŃийŃĐťŃ ŃвоНиŃĐľĐ˝Đ¸Ń ĐˇĐ°ĐşŃпОŃĐ˝ŃŃ
Ńон. ĐŁŃŃанОвНонО, ŃŃĐž ŃПонŃŃонио ĐżŃийŃНи на 1 Ń ĐťĐžĐźĐ° ĐżŃи пОвŃŃонии СакŃпОŃнОК ŃĐľĐ˝Ń Đ´Đž 100 % Са ŃОдоŃМанио Đ´ŃагОŃоннŃŃ
ПоŃаННОв пО ĐşŃŃŃŃ ĐŚĐľĐ˝ŃŃĐ°ĐťŃнОгО йанка РФ ŃĐžŃŃавиНО ĐžŃ 0,01 Đ´Đž 0,05 %. ХНодОваŃоНŃнО, ŃŃŃĐľŃŃвŃĐľŃ Đ˛ĐžĐˇĐźĐžĐśĐ˝ĐžŃŃŃ ĐˇĐ˝Đ°ŃиŃоНŃнОгО ŃĐžŃŃĐ° СакŃпОŃнОК ŃĐľĐ˝Ń Đ˝Đ° ŃŃŃŃĐľ пО ŃŃĐ°Đ˛Đ˝ĐľĐ˝Đ¸Ń Ń ŃавнОвоŃĐ˝ŃПи ŃонаПи ŃŃнка. ĐŃŃНодОвана СавиŃиПОŃŃŃ ĐłĐžĐ´ĐžĐ˛ĐžĐš ĐżŃийŃНи ĐžŃ ŃвоНиŃĐľĐ˝Đ¸Ń ĐżŃОиСвОдиŃоНŃнОŃŃи Đ´ĐťŃ ŃаСнŃŃ
каŃогОŃиК НОПа. ĐĐ°Đ˝Ń ŃокОПондаŃии, на какио иПоннО ŃĐžŃŃĐ°Đ˛Ń ŃоНоŃООйŃаСнО пОвŃŃĐ°ŃŃ ĐˇĐ°ĐşŃпОŃĐ˝ŃĐľ ŃонŃ. ĐОкаСанО, ŃŃĐž вОСПОМна ŃоаНиСаŃĐ¸Ń ŃĐżŃавНонŃĐľŃкОгО вОСдоКŃŃĐ˛Đ¸Ń Đ˝Đ° ОйŃоП пОŃŃавОк ŃŃŃŃŃ c пОПОŃŃŃ ŃŃŃĐ°Ńогии ŃонООйŃаСОваниŃ. Đ ĐžŃŃ Ńон на ОпŃодоНоннŃĐľ Đ˛Đ¸Đ´Ń ĐťĐžĐźĐ° ĐąŃĐ´ĐľŃ ŃпОŃОйŃŃвОваŃŃ ĐżŃивНоŃĐľĐ˝Đ¸Ń ĐżĐžŃŃавŃикОв, ŃвоНиŃĐľĐ˝Đ¸Ń ĐžĐąŃоПа ĐżŃОиСвОдŃŃва, ŃĐ°ŃŃиŃĐľĐ˝Đ¸Ń Đ°ŃŃĐžŃŃиПонŃĐ° и пОНŃŃĐľĐ˝Đ¸Ń Đ´ĐžĐżĐžĐťĐ˝Đ¸ŃоНŃнОК ĐżŃийŃНи. ĐнодŃонио ĐżŃодНагаоПОК ŃĐľŃ
нОНОгиŃĐľŃкОК ŃŃ
ĐľĐźŃ Đ´ĐťŃ ĐşĐžĐźĐżĐťĐľĐşŃнОгО иСвНоŃĐľĐ˝Đ¸Ń ŃоннŃŃ
кОПпОнонŃОв иС ŃНокŃŃОннОгО НОПа и ĐżŃиПононио ŃŃŃĐ°Ńогии пОвŃŃĐľĐ˝Đ¸Ń ĐˇĐ°ĐşŃпОŃĐ˝ŃŃ
Ńон на ŃŃŃŃĐľ как ŃпоŃиŃиŃĐľŃкОК ŃŃŃĐ°Ńогии Đ´ĐťŃ ĐżŃиОйŃĐľŃĐľĐ˝Đ¸Ń Đ˝ĐľĐžĐąŃ
ОдиПŃŃ
ŃĐľŃŃŃŃОв и иŃ
ŃĐ°ŃĐżŃĐľĐ´ĐľĐťĐľĐ˝Đ¸Ń ĐżĐžĐˇĐ˛ĐžĐťŃŃ ŃĐťŃŃŃиŃŃ ĐżĐžĐşĐ°ĐˇĐ°ŃоНи ŃкОнОПиŃĐľŃкОК ŃŃŃокŃивнОŃŃи Ń
ОСŃĐšŃŃвоннОК Đ´ĐľŃŃоНŃнОŃŃи. УвоНиŃонио пОНŃŃаоПОК ĐżŃийŃНи Đ´Đ°ŃŃ Đ˛ĐžĐˇĐźĐžĐśĐ˝ĐžŃŃŃ ĐżŃодпŃиŃŃĐ¸Ń Đ¸ŃпОНŃСОваŃŃ ĐľĐľ Đ´ĐťŃ ŃоаНиСаŃии ĐşŃĐ°ŃкОŃŃĐžŃĐ˝ŃŃ
и дОНгОŃŃĐžŃĐ˝ŃŃ
ŃоНоК пО ŃĐťŃŃŃĐľĐ˝Đ¸Ń ŃвОогО ŃкОнОПиŃĐľŃкОгО ŃĐžŃŃĐžŃĐ˝Đ¸Ń Đ¸ ŃĐşŃĐľĐżĐťĐľĐ˝Đ¸Ń ŃŃнОŃнОК пОСиŃии в ŃŃНОвиŃŃ
кОнкŃŃонŃии
Single hadron response measurement and calorimeter jet energy scale uncertainty with the ATLAS detector at the LHC
The uncertainty on the calorimeter energy response to jets of particles is
derived for the ATLAS experiment at the Large Hadron Collider (LHC). First, the
calorimeter response to single isolated charged hadrons is measured and
compared to the Monte Carlo simulation using proton-proton collisions at
centre-of-mass energies of sqrt(s) = 900 GeV and 7 TeV collected during 2009
and 2010. Then, using the decay of K_s and Lambda particles, the calorimeter
response to specific types of particles (positively and negatively charged
pions, protons, and anti-protons) is measured and compared to the Monte Carlo
predictions. Finally, the jet energy scale uncertainty is determined by
propagating the response uncertainty for single charged and neutral particles
to jets. The response uncertainty is 2-5% for central isolated hadrons and 1-3%
for the final calorimeter jet energy scale.Comment: 24 pages plus author list (36 pages total), 23 figures, 1 table,
submitted to European Physical Journal
Standalone vertex ďŹnding in the ATLAS muon spectrometer
A dedicated reconstruction algorithm to find decay vertices in the ATLAS muon spectrometer is presented. The algorithm searches the region just upstream of or inside the muon spectrometer volume for multi-particle vertices that originate from the decay of particles with long decay paths. The performance of the algorithm is evaluated using both a sample of simulated Higgs boson events, in which the Higgs boson decays to long-lived neutral particles that in turn decay to bbar b final states, and pp collision data at âs = 7 TeV collected with the ATLAS detector at the LHC during 2011
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