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Teaching sound waves using gamelan and smartphones

Journal of physics: Conference Series 2019年第1期1153卷

作者： D P Anggraeni Sukarmin F Nurosyid Department of Physics Education Postgraduate Studies Sebelas Maret UniversityIr. Sutami 36 Kentingan Jebres Surakarta Indonesia 57126 Physics Departement of Post Graduate Program Sebelas Maret University Jalan Ir. Sutami 36 Kentingan Jebres Surakarta Indonesia 57126

Sound is an example of a mechanical waves, especially longitudinal wave. Using simple experiments involving musical instrument of Gamelan family and Oscope apps in a couple of smartphones, it is useful and possible for students to 'see' characteristics of sound waves. This study aimed to: (1) illustrate the nodes-antinodes of standing acoustic waves in musical instrument of the Gamelan; (2) see the forms of sound waves for each Gamelan's instrument; (3) explain relationship between frequency and length; and (4) know about student's response after that learning. This study used experimental method. From this study can be concluded that: (1) the nodes-antinodes standing acoustic waves in musical instrument of the Gamelan can be drawn based on the results of video recording; (2) the form of sound waves for each Gamelan's instrument can be see using the Oscope apps; (3) relationship between frequency and length is inversely proportional; and (4) very good student's response with that learning.

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Development of a Measurement Software for the Characterization of WORM Devices for Novel Memory Storage Applications

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Journal of Computer and Communications 2018年第9期6卷 1-13页

作者： Mirko Congiu Miguel H. Boratto Paride Pica Carlos F. O. Graeff POSMAT—Post-Graduate Program in Materials Science and Technology School of Sciences UNESP—S&#227 o Paulo State University Bauru SP Brazil Department of Chemistry-Piazzale Aldo Moro University of Rome “La Sapienza” Rome RM Italy Department of Physics School of Sciences UNESP—S&#227 o Paulo State University Bauru SP Brazil

We hereby propose a software solution to perform high quality electrical measurements for the characterization of WORM (write-once read many), a new generation memory device which is being intensively studied for non-volatile data storage. The as-proposed software is completely based on .NET framework and sample C# code. The paper performed a relevant measurement based on this software. Working WORM devices, based on a polymeric matrix embedded with gold and copper sulfide nanoparticles, have been used for test measurements. The aim of this paper is to show the main steps to develop a fully working measurement software without using any expensive dedicated software.

关键词： WORM Memristor Electrical Measurements Memory Devices

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The solution of 4-dimensional Schrodinger equation for polynomial inverse potential and its partner potential by using ansatz wavefunction method

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Journal of physics: Conference Series 2018年第1期997卷

作者： A Suparmi C Cari Wahyulianti K N Wea Physics Department of Post Graduate Program Sebelas Maret University Surakarta 57126 Indonesia

The radial part of 4-dimensional Schrodinger equation for Polynomial Inverse potential and its partner potential was solved by using the Ansatz Wavefunction method. By applying of the properties and operators of the Supersymmetric Quantum Mechanic method the partner potential was constructed. The eigenvalues and eigenfunctions of the Polynomial Inverse potential and the eigenvalues and eigenfunctions of its partner potential were different. The partner potential of Polynomial Inverse potential for n > 1 has eigenvalue greater than Polynomial Inverse potential as its original potential.

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Systematic effects from black hole-neutron star waveform model uncertainties on the neutron star equation of state

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Physical Review D 2019年第2期99卷 024049-024049页

作者： Kabir Chakravarti Anuradha Gupta Sukanta Bose Matthew D. Duez Jesus Caro Wyatt Brege Francois Foucart Shaon Ghosh Koutarou Kyutoku Benjamin D. Lackey Masaru Shibata Daniel A. Hemberger Lawrence E. Kidder Harald P. Pfeiffer Mark A. Scheel Inter-University Centre for Astronomy and Astrophysics Post Bag 4 Ganeshkhind Pune 411 007 India Department of Physics The Pennsylvania State University University Park Pennsylvania 16802 USA Department of Physics & Astronomy Washington State University 1245 Webster Pullman Washington 99164-2814 USA Department of Physics University of New Hampshire 9 Library Way Durham New Hampshire 03824 USA Lawrence Berkeley National Laboratory 1 Cyclotron Rd Berkeley California 94720 USA Department of Physics University of Wisconsin-Milwaukee Milwaukee Wisconsin 53201 USA Theory Center Institute of Particle and Nuclear Studies KEK Tsukuba 305-0801 Japan Department of Particle and Nuclear Physics the Graduate University for Advanced Studies (Sokendai) Tsukuba 305-0801 Japan Interdisciplinary Theoretical and Mathematical Sciences Program (iTHEMS) RIKEN Wako Saitama 351-0198 Japan Center for Gravitational Physics Yukawa Institute for Theoretical Physics Kyoto University Kyoto 606-8502 Japan Max Planck Institute for Gravitational Physics (Albert Einstein Institute) D-14476 Potsdam-Golm Germany TAPIR Walter Burke Institute for Theoretical Physics California Institute of Technology MC 350-17 Pasadena California 91125 USA Cornell Center for Astrophysics and Planetary Science Cornell University Ithaca New York 14853 USA Canadian Institute for Theoretical Astrophysics University of Toronto Toronto Ontario M5S 3H8 Canada

We identify various contributors of systematic effects in the measurement of the neutron star (NS) tidal deformability and quantify their magnitude for several types of neutron star—black hole (NSBH) binaries. Gravitational waves from NSBH mergers contain information about the components’ masses and spins as well as the NS equation of state. Extracting this information requires comparison of the signal in noisy detector data with theoretical templates derived from some combination of post-Newtonian (PN) approximants, effective one-body (EOB) models, and numerical relativity (NR) simulations. The accuracy of these templates is limited by errors in the NR simulations, by the approximate nature of the PN/EOB waveforms, and by the hybridization procedure used to combine them. In this paper, we estimate the impact of these errors by constructing and comparing a set of PN-NR hybrid waveforms, for the first time with NR waveforms from two different codes, namely, SpEC and sacra, for such systems. We then attempt to recover the parameters of the binary using two non-precessing template approximants. As expected, these errors have negligible effect on detectability. Mass and spin estimates are moderately affected by systematic errors for near equal-mass binaries, while the recovered masses can be inaccurate at higher mass ratios. Large uncertainties are also found in the tidal deformability Λ, due to differences in PN base models used in hybridization, numerical relativity NR errors, and inherent limitations of the hybridization method. We find that systematic errors are too large for tidal effects to be accurately characterized for any realistic NS equation of state model. We conclude that NSBH waveform models must be significantly improved if they are to be useful for the extraction of NS equation of state information or even for distinguishing NSBH systems from binary black holes.

关键词： Gravitational waves Transient & explosive astronomical phenomena

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Analytical solution of the Proca equation for a scalar potential

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AIP Conference Proceedings 2018年第1期2014卷

作者： Oky Rio Pamungkas A. Suparmi C. Cari 1Physics Departement Post Graduate Program Sebelas Maret University Surakarta Indonesia

We study the solution of Proca equation for scalar potential. Proca equation is a relativistic wave equation for a massive spin-1 particle. Proca equation describe the imaginary mass of photons in electromagnetic waves. Vector fields are used to describe spin-1 mesons. The scalar potential was originally used to model strong nucleon-nucleon interactions. This work is limited to radial part of spherical coordinate system. Using the improved approximation scheme to deal with the centrifugal term, we solve approximately the Proca equation for scalar potential. The relativistic energy eigen-value and radial wave function equations are obtained.

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The Porosity and Hardness of Fe-18Al Alloy Added ZrO2 Nanoparticles

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IOP Conference Series: Materials Science and Engineering 2019年第1期622卷

作者： P. Pawawoi D.H. Prjitno R. Adhitya A. Manaf Post Graduate Program Department of Physics Faculty of Mathematics and Natural Sciences Universitas Indonesia Depok 16424 Indonesia Metallurgical Engineering Faculty of Engineering Universitas Jenderal Achmad Yani Bandung 40285 Indonesia PTNBR-BATAN Jln. Tamansari 71 Bandung 40317 Bandung Indonesia

The additive effect of ZrO2 nanoparticles in Fe-18Al based alloys through the mechanical alloying process to the porosity and hardness was investigated. Results of microstructure observations showed that the only intermetallic Fe3Al present as the major phase in the samples along with other phases which are very minor together with the presence of porosity that indicated by objects of dark color. The porosity tends to diminish with the addition of ZrO2 nanoparticles. However, the porosity is still visible on the Fe-Al alloy with the addition of 2% additive and the higher compaction load especially in the surface area. The results of phase study by XRD confirmed the presence of the intermetallic Fe3Al. It is shown that ZrO2 nanoparticles are dispersed in the metal matrix. The presence of ZrO2 also confirmed by SEMEDS. The fraction of pores that estimated based on the microstructure observation showed a decrease with an increase in volume fraction of ZrO2 nanoparticles and the compaction load. The study concluded that the hardness of Fe-18Al alloys increased with a decrease in porosity which achieved in Fe-18Al alloy added with 2% ZrO2 nanoparticles. The lowest porosity level is 0.17% and the highest hardness value is 352.59 HV

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Efficacy of Bacterial Photodynamic Inactivation with Varying Angle and Time of LED Exposure

Efficacy of Bacterial Photodynamic Inactivation with Varying...

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International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME)

作者： Suryani D. Astuti Winda P. Lestari Deny Arifianto Anggraini Pertiwi Irawan P. Buditomo Nike D.G. Drantantiyas Ernie M. Setiawatie Department of Physics Airlangga University Surabaya Indonesia post graduate Program in Biomedical Engineering Faculty of Dentistry Airlangga University Surabaya Indonesia

Streptococcus mutans (S. mutans) is a bacterium that plays a major role in the occurrence of dental caries. Dental caries is a disease that destroys tooth structure, consequently the tooth becomes perforated as well as the sustainable state of accumulation of S. mutans excess in the oral cavity can cause damage to the tooth nerve. One alternative treatment of caries is Photodynamic Inactivation (PDI). PDI is a method of microbial inactivation using light and photosensitizer (PS). The absorption of light energy by PS molecules can produce reactive oxygen species that will damage the bacterial cells. Clinical antimicrobial photodynamic therapy using a light source is generally performed at various angles of irradiation depending on the position of the tooth. The amis of this study is to analyze the effect of LED lamination angle (450.00 ± 0.21) nm for inactivation of S. mutans by adding PS chlorophylls of Moringa oliefera leaf with concentration 8 mg / ml. Total Plate Count (TPC) was used to determine the decreasement of bacterial viability in CFU / ml. The ANOVA test showed that the irradiation with variation of 90° exposure angle and 180s exposure time potentially inactivated was significantly different with other treatment variation (p

关键词： Light emitting diodes Microorganisms Absorption Teeth Dentistry Lighting

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Search for Gravitational Waves Associated with Fast Radio Bursts Detected by CHIME/FRB during the LIGO-Virgo Observing Run O3a

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Astrophysical Journal 2023年第2期955卷 155-155页

作者： Abbott, R. Abbott, T.D. Acernese, F. Ackley, K. Adams, C. Adhikari, N. Adhikari, R.X. Adya, V.B. Affeldt, C. Agarwal, D. Agathos, M. Agatsuma, K. Aggarwal, N. Aguiar, O.D. Aiello, L. Ain, A. Ajith, P. Akutsu, T. Albanesi, S. Allocca, A. Altin, P.A. Amato, A. Anand, C. Anand, S. Ananyeva, A. Anderson, S.B. Anderson, W.G. Ando, M. Andrade, T. Andres, N. Andrić, T. Angelova, S.V. Ansoldi, S. Antelis, J.M. Antier, S. Appert, S. Arai, Koya Arai, Y. Araki, S. Araya, A. Araya, M.C. Areeda, J.S. Arène, M. Aritomi, N. Arnaud, N. Aronson, S.M. Arun, K.G. Asada, H. Asali, Y. Ashton, G. Aso, Y. Assiduo, M. Aston, S.M. Astone, P. Aubin, F. Austin, C. Babak, S. Badaracco, F. Bader, M.K.M. Badger, C. Bae, S. Bae, Y. Baer, A.M. Bagnasco, S. Bai, Y. Baiotti, L. Baird, J. Bajpai, R. Ball, M. Ballardin, G. Ballmer, S.W. Balsamo, A. Baltus, G. Banagiri, S. Bankar, D. Barayoga, J.C. Barbieri, C. Barish, B.C. Barker, D. Barneo, P. Barone, F. Barr, B. Barsotti, L. Barsuglia, M. Barta, D. Bartlett, J. Barton, M.A. Bartos, I. Bassiri, R. Basti, A. Bawaj, M. Bayley, J.C. Baylor, A.C. Bazzan, M. Bécsy, B. Bedakihale, V.M. Bejger, M. Belahcene, I. Benedetto, V. Beniwal, D. Bennett, T.F. Bentley, J.D. BenYaala, M. Bergamin, F. Berger, B.K. Bernuzzi, S. Berry, C.P.L. Bersanetti, D. Bertolini, A. Betzwieser, J. Beveridge, D. Bhandare, R. Bhardwaj, U. Bhattacharjee, D. Bhaumik, S. Bilenko, I.A. Billingsley, G. Bini, S. Birney, R. Birnholtz, O. Biscans, S. Bischi, M. Biscoveanu, S. Bisht, A. Biswas, B. Bitossi, M. Bizouard, M.-A. Blackburn, J.K. Blair, C.D. Blair, D.G. Blair, R.M. Bobba, F. Bode, N. Boer, M. Bogaert, G. Boldrini, M. Bonavena, L.D. Bondu, F. Bonilla, E. Bonnand, R. Booker, P. Boom, B.A. Bork, R. Boschi, V. Bose, N. Bose, S. Bossilkov, V. Boudart, V. Bouffanais, Y. Boumerdassi, A. Bozzi, A. Bradaschia, C. Brady, P.R. Bramley, A. Branch, A. Branchesi, M. Brau, J.E. Breschi, M. Briant, T. Briggs, J.H. Brillet, A. Brinkmann, M. Brockill, P. Brooks, A.F. Brooks, J. Brown, D.D. Brunett, S. Bruno, G. Bruntz, R. Bryant, J. Buchanan, J. B LIGO Laboratory California Institute of Technology Pasadena 91125 CA United States Louisiana State University Baton Rouge 70803 LA United States Dipartimento di Farmacia Università di Salerno Fisciano Salerno I-84084 Italy INFN Sezione di Napoli Complesso Universitario di Monte S. Angelo Napoli I-80126 Italy OzGrav School of Physics & Astronomy Monash University Clayton 3800 VIC Australia LIGO Livingston Observatory Livingston 70754 LA United States University of Wisconsin-Milwaukee Milwaukee 53201 WI United States OzGrav Australian National University Canberra 0200 ACT Australia Max Planck Institute for Gravitational Physics (Albert Einstein Institute) Hannover D-30167 Germany Leibniz Universität Hannover Hannover D-30167 Germany Inter-University Centre for Astronomy and Astrophysics Pune 411007 India University of Cambridge Cambridge CB2 1TN United Kingdom Theoretisch-Physikalisches Institut Friedrich-Schiller-Universität Jena Jena D-07743 Germany University of Birmingham Birmingham B15 2TT United Kingdom Center for Interdisciplinary Exploration & Research in Astrophysics (CIERA) Northwestern University Evanston 60208 IL United States Instituto Nacional de Pesquisas Espaciais São Paulo São José dos Campos 12227-010 Brazil Gravity Exploration Institute Cardiff University Cardiff CF24 3AA United Kingdom INFN Sezione di Pisa Pisa I-56127 Italy International Centre for Theoretical Sciences Tata Institute of Fundamental Research Bengaluru 560089 India Gravitational Wave Science Project National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan INFN Sezione di Torino Torino I-10125 Italy Università di Napoli “Federico II Complesso Universitario di Monte S. Angelo Napoli I-80126 Italy Université de Lyon Université Claude Bernard Lyon 1 CNRS Institut Lumière Matière Villeurbanne F-69622

We search for gravitational-wave (GW) transients associated with fast radio bursts (FRBs) detected by the Canadian Hydrogen Intensity Mapping Experiment Fast Radio Burst Project, during the first part of the third observing run of Advanced LIGO and Advanced Virgo (2019 April 1 15:00 UTC-2019 October 1 15:00 UTC). Triggers from 22 FRBs were analyzed with a search that targets both binary neutron star (BNS) and neutron star-black hole (NSBH) mergers. A targeted search for generic GW transients was conducted on 40 FRBs. We find no significant evidence for a GW association in either search. Given the large uncertainties in the distances of our FRB sample, we are unable to exclude the possibility of a GW association. Assessing the volumetric event rates of both FRB and binary mergers, an association is limited to 15% of the FRB population for BNS mergers or 1% for NSBH mergers. We report 90% confidence lower bounds on the distance to each FRB for a range of GW progenitor models and set upper limits on the energy emitted through GWs for a range of emission scenarios. We find values of order 10⁵¹-10⁵⁷ erg for models with central GW frequencies in the range 70-3560 Hz. At the sensitivity of this search, we find these limits to be above the predicted GW emissions for the models considered. We also find no significant coincident detection of GWs with the repeater, FRB 20200120E, which is the closest known extragalactic FRB. © 2023. The Author(s). Published by the American Astronomical Society.

关键词： Gravitational wave astronomy Radio transient sources

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Study of Weight in Motion Sensor for Railroad Crossing Warning System Using Artificial Neural Network

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IOP Conference Series: Materials Science and Engineering 2019年第1期578卷

作者： N M Yoeseph A Marzuki M Yunianto F A Purnomo Diploma 3 Teknik Informatika Sebelas Maret University Jl. Ir. Sutami 36A Kentingan Jebres Surakarta 57126 Indonesia Physics Department of Post Graduate Program Sebelas Maret University Jl. Ir. Sutami 36A Kentingan Jebres Surakarta 57126 Indonesia

IThe risk of accidents in the railway, especially on unmanned railroad crossing, are still high. A train arrival on railroad crossing warning system is indispensable. The warning system will detect train arrival on the railroad crossing and issue a warning to the crossers. A sensor based on optical fiber Weight in Motion (WIM) is proposed. This paper presents a design of a railroad crossing warning system based on WIM sensor. The sensor placed under the railroad tracks and detects vibrations footprints transmitted along those rails. Artificial Neural Network (ANN) is used to process the signal pattern of the WIM system output. By using ANN, the vibration footprint pattern was classified and used as on-sensor train detection. As the train detected, the arrival time of the train on the raiload crossing was estimated. The result is a warning system which can detect train arrival on the railroad crossing and issue a warning signal.

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Spatial dynamic prediction of landuse / landcover change (case study: tamalanrea sub-district, makassar city)

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IOP Conference Series: Earth and Environmental Science 2019年第1期280卷

作者： A M Y Hakim S Baja D A Rampisela S Arif Post Graduate Student Agricultural Science Study Program Hasanuddin University Makassar 90245 Indonesia Departement of Soil Science Faculty of Agriculture Hasanuddin University Makassar 90245 Indonesia Department of Physics Faculty of Mathematics and Natural Science Hasanuddin University Makassar 90245 Indonesia Center for Regional Development and Spatial Information (WITARIS) Hasanuddin University Makassar 90245 Indonesia

The phenomenon of landuse change from an undeveloped area into a built-up area is often the case, especially in big cities. Population growth, both in birth and migration rates, is one of the factors that causes the need for land for various human activities. Tendency for landuse change is expected to continue in the following years along with a region development. The city of Makassar has a tendency for landuse change. This is due to the position of Makassar as the capital of the South Sulawesi province which has A-level public service and it has become a separate magnet for people from outside the city to conduct activities and live in the city. The purpose of this research is to predict landuse/landcover (LULC) change until 2033 by classifying using Landsat satellite imagery include 2008, 2013, and 2018 into 5 landuse/landcover classes in Tamalanrea Sub-District with the Modules for Land Use Change Simulations (MOLUSCE): Multi-Layer Perceptron Neural Network and Geographic Information System method. This research shows the percentage of changes in 5 classes of landuse from 2018 to 2033, are: agriculture area with -0,30%; built-up area with 3.15%; barren area with -5.11%; vegetation with 0.98%; and water body with 1.27%.

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