检索结果-内蒙古大学图书馆

arXiv 2021年

作者： Vavagiakis, Eve M. Gallardo, Patricio A. Calafut, Victoria Amodeo, Stefania Aiola, Simone Austermann, Jason E. Battaglia, Nicholas Battistelli, Elia S. Beall, James A. Bean, Rachel Bond, J. Richard Calabrese, Erminia Choi, Steve K. Cothard, Nicholas F. Devlin, Mark J. Duell, Cody J. Duff, S.M. Duivenvoorden, Adriaan J. Dunkley, Jo Dunner, Rolando Ferraro, Simone Guan, Yilun Hill, J. Colin Hilton, G.C. Hilton, Matt Hložek, Renee Huber, Zachary B. Hubmayr, Johannes Huffenberger, Kevin M. Hughes, John P. Koopman, Brian J. Kosowsky, Arthur Li, Yaqiong Lokken, Martine Madhavacheril, Mathew McMahon, Jeff Moodley, Kavilan Naess, Sigurd Nati, Federico Newburgh, Laura B. Niemack, Michael D. Page, Lyman Partridge, Bruce Schaan, Emmanuel Schillaci, Alessandro Sifon, Cristobal Spergel, David N. Staggs, Suzanne T. Ullom, Joel N. Vale, Leila R. van Engelen, Alexander van Lanen, J. Wollack, Edward J. Xu, Zhilei Department of Physics Cornell University IthacaNY14853 United States Department of Astronomy Cornell University IthacaNY14853 United States Center for Computational Astrophysics Flatiron Institute New YorkNY10010 United States NIST Quantum Sensors Group 325 Broadway BoulderCO80305 United States Physics Department Sapienza University of Rome Piazzale Aldo Moro 5 RomeI-00185 Italy Canadian Institute for Theoretical Astrophysics University of Toronto TorontoONM5S 3H8 Canada School of Physics and Astronomy Cardiff University The Parade CardiffCF24 3AA United Kingdom Department of Applied and Engineering Physics Cornell University IthacaNY14853 United States Department of Physics and Astronomy University of Pennsylvania 209 South 33rd Street PhiladelphiaPA19104 United States Joseph Henry Laboratories of Physics Jadwin Hall Princeton University PrincetonNJ08544 United States Department of Astrophysical Sciences Peyton Hall Princeton University PrincetonNJ08544 United States Instituto de Astrofísica Centro de Astro-Ingeniería Facultad de Física Pontificia Universidad Católica de Chile Av. Vicuña Mackenna 4860 Macul Santiago7820436 Chile Lawrence Berkeley National Laboratory One Cyclotron Road BerkeleyCA94720 United States Berkeley Center for Cosmological Physics UC Berkeley CA94720 United States Department of Physics and Astronomy University of Pittsburgh PittsburghPA15260 United States Department of Physics Columbia University New YorkNY10027 United States Astrophysics Research Centre University of KwaZulu-Natal Westville Campus Durban4041 South Africa David A. Dunlap Department of Astronomy and Astrophysics University of Toronto 50 St. George St. TorontoONM5S 3H4 Canada Dunlap Institute for Astronomy and Astrophysics University of Toronto 50 St. George St. TorontoONM5S 3H4 Canada Department of Physics Florida State University TallahasseeFL32306 United States Department of Physics and Astronomy Rutgers The State

We present measurements of the average thermal Sunyaev Zel’dovich (tSZ) effect from optically selected galaxy groups and clusters at high signal-to-noise (up to 12σ) and estimate their baryon content within a 2.10 radius aperture. Sources from the Sloan Digital Sky Survey (SDSS) Baryon Oscillation Spectroscopic Survey (BOSS) DR15 catalog overlap with 3,700 sq. deg. of sky observed by the Atacama Cosmology Telescope (ACT) from 2008 to 2018 at 150 and 98 GHz (ACT DR5), and 2,089 sq. deg. of internal linear combination component-separated maps combining ACT and Planck data (ACT DR4). The corresponding optical depths, τ¯, which depend on the baryon content of the halos, are estimated using results from cosmological hydrodynamic simulations assuming an AGN feedback radiative cooling model. We estimate the mean mass of the halos in multiple luminosity bins, and compare the tSZ-based τ¯ estimates to theoretical predictions of the baryon content for a Navarro–Frenk–White profile. We do the same for τ¯ estimates extracted from fits to pairwise baryon momentum measurements of the kinematic Sunyaev-Zel’dovich effect (kSZ) for the same data set obtained in a companion paper. We find that the τ¯ estimates from the tSZ measurements in this work and the kSZ measurements in the companion paper agree within 1σ for two out of the three disjoint luminosity bins studied, while they differ by 2-3σ in the highest luminosity bin. The optical depth estimates account for one third to all of the theoretically predicted baryon content in the halos across luminosity bins. Potential systematic uncertainties are discussed. The tSZ and kSZ measurements provide a step towards empirical Compton-ȳ-¯ τ relationships to provide new tests of cluster formation and evolution models. Copyright © 2021, The Authors. All rights reserved.

关键词： Hadrons

来源：评论

学校读者我要写书评

暂无评论

The Atacama Cosmology Telescope: Detection of the pairwise kinematic Sunyaev-Zel’dovich Effect with SDSS DR15 galaxies

arXiv

引用

arXiv 2021年

作者： Calafut, Victoria Gallardo, Patricio A. Vavagiakis, Eve M. Amodeo, Stefania Aiola, Simone Austermann, Jason E. Battaglia, Nicholas Battistelli, Elia S. Beall, James A. Bean, Rachel Bond, J. Richard Calabrese, Erminia Choi, Steve K. Cothard, Nicholas F. Devlin, Mark J. Duell, Cody J. Duff, S.M. Duivenvoorden, Adriaan J. Dunkley, Jo Dunner, Rolando Ferraro, Simone Guan, Yilun Hill, J. Colin Hilton, G.C. Hilton, Matt Hlozek, Renee Huber, Zachary B. Hubmayr, Johannes Huffenberger, Kevin M. Hughes, John P. Koopman, Brian J. Kosowsky, Arthur Li, Yaqiong Lokken, Martine Madhavacheril, Mathew McMahon, Jeff Moodley, Kavilan Naess, Sigurd Nati, Federico Newburgh, Laura B. Niemack, Michael D. Page, Lyman Partridge, Bruce Schaan, Emmanuel Schillaci, Alessandro Sifon, Cristobal Spergel, David N. Staggs, Suzanne T. Ullom, Joel N. Vale, Leila R. van Engelen, Alexander van Lanen, J. Wollack, Edward J. Xu, Zhilei Department of Astronomy Cornell University IthacaNY14853 United States Department of Physics Cornell University IthacaNY14853 United States Center for Computational Astrophysics Flatiron Institute New YorkNY10010 United States NIST Quantum Devices Group 325 Broadway Mailcode 817.03 BoulderCO80305 United States Physics Department Sapienza University of Rome Piazzale Aldo Moro 5 RomeI-00185 Italy Canadian Institute for Theoretical Astrophysics University of Toronto TorontoONM5S 3H8 Canada School of Physics and Astronomy Cardiff University The Parade CardiffCF24 3AA United Kingdom Department of Applied and Engineering Physics Cornell University IthacaNY14853 United States Department of Physics and Astronomy University of Pennsylvania 209 South 33rd Street PhiladelphiaPA19104 United States Joseph Henry Laboratories of Physics Jadwin Hall Princeton University PrincetonNJ08544 United States Department of Astrophysical Sciences Peyton Hall Princeton University PrincetonNJ08544 United States Instituto de Astrofísica Centro de Astro-Ingeniería Facultad de Física Pontificia Universidad Católica de Chile Av. Vicuña Mackenna 4860 Macul Santiago7820436 Chile Lawrence Berkeley National Laboratory One Cyclotron Road BerkeleyCA94720 United States Berkeley Center for Cosmological Physics UC Berkeley CA94720 United States Department of Physics and Astronomy University of Pittsburgh PittsburghPA15260 United States Department of Physics Columbia University New YorkNY10027 United States Astrophysics Research Centre University of KwaZulu-Natal Westville Campus Durban4041 South Africa David A. Dunlap Department of Astronomy and Astrophysics University of Toronto 50 St. George St. TorontoONM5S 3H4 Canada Dunlap Institute for Astronomy and Astrophysics University of Toronto 50 St. George St. TorontoONM5S 3H4 Canada Department of Physics Florida State University TallahasseeFL32306 United States Department of Physics and Astronomy Ru

We present a 5.4σ detection of the pairwise kinematic Sunyaev-Zel’dovich (kSZ) effect using Atacama Cosmology Telescope (ACT) and Planck CMB observations in combination with Luminous Red Galaxy samples from the Sloan Digital Sky Survey (SDSS) DR15 catalog. Results are obtained using three ACT CMB maps: co-added 150 GHz and 98 GHz maps, combining observations from 2008-2018 (ACT DR5), which overlap with SDSS DR15 over 3,700 sq. deg., and a component-separated map using night-time only observations from 2014-2015 (ACT DR4), overlapping with SDSS DR15 over 2,089 sq. deg. Comparisons of the results from these three maps provide consistency checks in relation to potential frequency-dependent foreground contamination. A total of 343,647 galaxies are used as tracers to identify and locate galaxy groups and clusters from which the kSZ signal is extracted using aperture photometry. We consider the impact of various aperture photometry assumptions and covariance estimation methods on the signal extraction. Theoretical predictions of the pairwise velocities are used to obtain best-fit, mass-averaged, optical depth estimates for each of five luminosity-selected tracer samples. A comparison of the kSZ-derived optical depth measurements obtained here to those derived from the thermal SZ effect for the same sample is presented in a companion paper. Copyright © 2021, The Authors. All rights reserved.

关键词： Kinematics

来源：评论

学校读者我要写书评

暂无评论

Dense sampling of bird diversity increases power of comparative genomics (vol 587, pg 252, 2020)

引用

NATURE 2021年第7856期592卷 E24-E24页

作者： Feng, Shaohong Stiller, Josefin Deng, Yuan Armstrong, Joel Fang, Qi Reeve, Andrew Hart Xie, Duo Chen, Guangji Guo, Chunxue Faircloth, Brant C. Petersen, Bent Wang, Zongji Zhou, Qi Diekhans, Mark Chen, Wanjun Andreu-Sanchez, Sergio Margaryan, Ashot Howard, Jason Travis Parent, Carole Pacheco, George Sinding, Mikkel-Holger S. Puetz, Lara Cavill, Emily Ribeiro, Angela M. Eckhart, Leopold Fjeldsa, Jon Hosner, Peter A. Brumfield, Robb T. Christidis, Les Bertelsen, Mads F. Sicheritz-Ponten, Thomas Tietze, Dieter Thomas Robertson, Bruce C. Song, Gang Borgia, Gerald Claramunt, Santiago Lovette, Irby J. Cowen, Saul J. Njoroge, Peter Dumbacher, John Philip Ryder, Oliver A. Fuchs, Jerome Bunce, Michael Burt, David W. Cracraft, Joel Meng, Guanliang Hackett, Shannon J. Ryan, Peter G. Jonsson, Knud Andreas Jamieson, Ian G. da Fonseca, Rute R. Braun, Edward L. Houde, Peter Mirarab, Siavash Suh, Alexander Hansson, Bengt Ponnikas, Suvi Sigeman, Hanna Stervander, Martin Frandsen, Paul B. van der Zwan, Henriette van der Sluis, Rencia Visser, Carina Balakrishnan, Christopher N. Clark, Andrew G. Fitzpatrick, John W. Bowman, Reed Chen, Nancy Cloutier, Alison Sackton, Timothy B. Edwards, Scott V. Foote, Dustin J. Shakya, Subir B. Sheldon, Frederick H. Vignal, Alain Soares, Andre E. R. Shapiro, Beth Gonzalez-Solis, Jacob Ferrer-Obiol, Joan Rozas, Julio Riutort, Marta Tigano, Anna Friesen, Vicki Dalen, Love Urrutia, Araxi O. Szekely, Tamas Liu, Yang Campana, Michael G. Corvelo, Andre Fleischer, Robert C. Rutherford, Kim M. Gemmell, Neil J. Dussex, Nicolas Mouritsen, Henrik Thiele, Nadine Delmore, Kira Liedvogel, Miriam Franke, Andre Hoeppner, Marc P. Krone, Oliver Fudickar, Adam M. Mila, Borja Ketterson, Ellen D. Fidler, Andrew Eric Friis, Guillermo Parody-Merino, Angela M. Battley, Phil F. Cox, Murray P. Lima, Nicholas Costa Barroso Prosdocimi, Francisco Parchman, Thomas Lee Schlinger, Barney A. Loiselle, Bette A. Blake, John G. Lim, Haw Chuan Day, Lainy B. Fuxjager, Matthew J. Baldwin, Maude W. Braun, Michael J. Wirthlin, Morgan Dikow, China National GeneBank BGI-Shenzhen Shenzhen China State Key Laboratory of Genetic Resources and Evolution Kunming Institute of Zoology Chinese Academy of Sciences Kunming China BGI-Shenzhen Shenzhen China Villum Centre for Biodiversity Genomics Section for Ecology and Evolution Department of Biology University of Copenhagen Copenhagen Denmark BGI Education Center University of Chinese Academy of Sciences Shenzhen China MOE Laboratory of Biosystems Homeostasis and Protection Life Sciences Institute Zhejiang University Hangzhou China Department of Neuroscience and Developmental Biology University of Vienna Vienna Austria Center for Excellence in Animal Evolution and Genetics Chinese Academy of Sciences Kunming China James D. Watson Institute of Genome Sciences Hangzhou China UC Santa Cruz Genomics Institute UC Santa Cruz Santa Cruz CA USA Natural History Museum of Denmark University of Copenhagen Copenhagen Denmark Center for Macroecology Evolution and Climate GLOBE Institute University of Copenhagen Copenhagen Denmark Department of Biological Sciences Louisiana State University Baton Rouge LA USA Museum of Natural Science Louisiana State University Baton Rouge LA USA Centre of Excellence for Omics-Driven Computational Biodiscovery (COMBio) Faculty of Applied Sciences AIMST University Kedah Malaysia Section for Evolutionary Genomics The GLOBE Institute Faculty of Health and Medical Sciences University of Copenhagen Copenhagen Denmark Institute of Molecular Biology National Academy of Sciences Yerevan Armenia University Museum Norwegian University of Science and Technology Trondheim Norway Center for Reproductive Medicine The 2nd Affiliated Hospital School of Medicine Zhejiang University Hangzhou China Novogene Durham NC USA Duke University Medical Center Durham NC USA The Rockefeller University New York NY USA Howard Hughes Medical Institute Chevy Chase MD USA Department of Dermatology Medical University of Vienna Vienna Austria

来源：评论

学校读者我要写书评

暂无评论

SPOCs: What, why, and how 15

SPOCs: What, why, and how

引用

46th SIGCSE Technical Symposium on computer science Education, SIGCSE 2015

作者： Burge, Janet Fox, Armando Grossman, Dan Roth, Gerald Warren, Joe Wesleyan University Dept. of Mathematics and Computer Science United States UC Berkeley Dept. of Electrical Engineering and Computer Science United States UC Berkeley MOOCLab. United States University of Washington Dept. of Computer Science and Engineering United States Vanderbilt University Dept. of Electrical Engineering and Computer Science United States Rice University Dept. of Computer Science United States

ISBN: (纸本)9781450329668

Many CS instructors are embracing MOOCs by creating their own course offering on one of the major MOOC platforms. Along with MOOCs has come a debate about their effect on academia. But rather than discussing MOOCs as a stand-alone entity, we want to discuss the usage of MOOCs to augment normal lecture classes. In such cases, instructors are supplementing their live lectures with on-line lectures which are often produced by leading experts of the field. Fox refers to these as SPOCs: small private online courses [1]. The marriage of live lectures and MOOC materials has the potential of maximizing both their strengths while minimizing some of their perceived weaknesses. On the one hand you have a live instructor who has a vested interest in conveying course material in the best way possible. An instructor who lectures to the students on a regular basis and keeps them on task. An instructor who holds office hours where students can get face-to-face help when needed. And on the other hand you have high quality lectures available 24 hours a day that students can watch as many times as desired. You have well vetted homework assignments that have powerful auto-graders to grade them. This panel is made up of CS faculty members who have used MOOC materials to augment their courses, not replace them. In some cases the MOOC material constitutes the bulk of the course, while in other cases it may just be a small portion of the class. In some cases the MOOC materials were created by the instructors themselves, while in other cases the instructors are using MOOCs produced by others. The panel will address the logistics of such a course, and will share experiences, both good and bad, about running such a course. In the end, we hope to encourage more to consider leveraging the power of MOOC platforms to augment their own courses. Copyright © 2015 ACM.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

Functional brain imaging at cellular resolution with Compressive Light-Field Microscopy

Functional brain imaging at cellular resolution with Compres...

引用

Imaging Systems and Applications, IS 2015

作者： Pégard, Nicolas Liu, Hsiou-Yuan Antipa, Nick Waller, Laura Adesnik, Hillel Department of Molecular & Cell Biology UC Berkeley CA United States Department of Electrical Engineering & Computer Science UC Berkeley CA United States

We demonstrate a compressive light field microscopy method for 3D neural activity measurement. Individual neurons are identified computationally, without the intermediate step of reconstructing volume images. Results ... 详细信息

ISBN: (纸本)9781557528209

关键词： Neurons

来源：评论

学校读者我要写书评

暂无评论

Approximability of adaptive seeding under knapsack constraints 15

Approximability of adaptive seeding under knapsack constrain...

引用

16th ACM Conference on Economics and Computation, EC 2015

作者： Rubinstein, Aviad Seeman, Lior Singer, Yaron Department of Electrical Engineering and Computer Science UC Berkeley United States Department of Computer Science Cornell University United States School of Engineering and Applied Sciences Harvard University United States

ISBN: (纸本)9781450334105

Adapting Seeding is a key algorithmic challenge of influence maximization in social networks. One seeks to select among certain available nodes in a network, and then, adaptively, among neighbors of those nodes as they become available, in order to maximize influence in the overall network. Despite recent strong approximation results [Seeman and Singer 2013;Badanidiyuru et al. 2015], very little is known about the problem when nodes can take on different activation costs. Surprisingly, designing adaptive seeding algorithms that can appropriately incentivize users with heterogeneous activation costs introduces fundamental challenges that do not exist in the simplified version of the problem. In this paper we study the approximability of adaptive seeding algorithms that incentivize nodes with heterogeneous activation costs. We first show a tight inapproximability result which applies even for a very restricted version of the problem. We then complement this inapproximability with a constant-factor approximation for general submodular functions, showing that the difficulties caused by the stochastic nature of the problem can be overcome. In addition, we show stronger approximation results for additive influence functions and cases where the nodes' activation costs constitute a small fraction of the budget.

关键词： influence maximizations stochastic optimization social networks submodular functions

来源：评论

学校读者我要写书评

暂无评论

Resistive Bloom Filters: From Approximate Membership to Approximate Computing with Bounded Errors

Resistive Bloom Filters: From Approximate Membership to Appr...

引用

Design, Automation & Test in Europe Conference & Exhibition

作者： Vahideh Akhlaghi Abbas Rahimi Rajesh K. Gupta Department of Computer Science and Engineering UC San Diego La Jolla CA USA

ISBN: (纸本)9781467392280

Approximate computing provides an opportunity for exploiting application characteristics to trade the accuracy for gains in energy efficiency. However, such opportunity must be able to bound the error that the system designer provides to the application developer. Space-efficient probabilistic data structure such as Bloom filter can provide one such means. Bloom filter supports approximate set membership queries with a tunable rate of false positives (i.e., errors) and no false negatives. We propose a resistive Bloom filter (ReBF) to approximate a function by tightly integrating it to a functional unit (FU) implementing the function. ReBF approximately mimics partial functionality of the FU by recalling its frequent input patterns for computational reuse. The accuracy of the target FU is guaranteed by bounding the ReBF error behavior at the design time. We further lower energy consumption of a FU by designing its ReBF using low-power memristor arrays. The experimental results show that function approximation using ReBF for five image processing kernels running on the AMD Southern Islands GPU yields on average 24.1% energy saving in 45 nm technology compared to the exact computation.

关键词： GPU FU AMD

来源：评论

学校读者我要写书评

暂无评论

High-speed 3D brain activity quantification with compressive light-field microscopy

High-speed 3D brain activity quantification with compressive...

引用

Novel Techniques in Microscopy, NTM 2015

作者： Pégard, Nicolas Lyall, Evan Mardinly, Alan Antipa, Nick Waller, Laura Adesnik, Hillel Department of Molecular and Cell Biology UC Berkeley CA United States Department of Electrical Engineering and Computer Science UC Berkeley CA United States Biophysics Graduate Program UC Berkeley CA United States

We present a non-imaging light-field microscopy method for volume quantification of neural activity in scattering brain tissue. Individual neuron fluorescence is computed directly by independent component identificati... 详细信息

ISBN: (纸本)9781557529541

关键词： Time domain analysis

来源：评论

学校读者我要写书评

暂无评论

A histogram density modeling approach to music emotion recognition 40

A histogram density modeling approach to music emotion recog...

引用

40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015

作者： Wang, Ju-Chiang Wang, Hsin-Min Lanckriet, Gert Department of Electrical and Computer Engineering UC San Diego United States Institute of Information Science Academia Sinica United States

ISBN: (纸本)9781467369978

Music emotion recognition is concerned with developing predictive models that comprehend the affective content of musical signals. Recently, a growing number of attempts has been made to model the music emotion as a probability distribution in the valence-arousal (VA) space to better account for the subjectivity. In this paper, we present a novel histogram density modeling approach that models the emotion distribution by a 2-D histogram over the quantized VA space and learns a set of latent histograms to predict the emotion probability density of a song from audio. The proposed model is free from parametric distribution assumptions over the VA space, easy to implement, and extremely fast to train. We also extend our model to deal with the temporal dynamics of time-varying emotion labels. Comprehensive performance study on two larger-scale datasets demonstrates that our approach achieves comparable performance to the state-of-the-art ones, but with much better training and testing efficiency. © 2015 IEEE.

关键词： Affective computing emotion tracking music information retrieval subjectivity temporal dynamics

来源：评论

学校读者我要写书评

暂无评论

Transmission manager in heterogeneous WSNs

Transmission manager in heterogeneous WSNs

引用

IEEE Global Communications Conference

作者： Jinseok Yang Sameer Tilak Tajana S. Rosing School of Electrical and Computer Engineering CalIT2 UC School of Computer Science and Engineering UC

ISBN: (纸本)9781479959532

The current generation of sensor networks are application-specific and exposed only to a limited set of users who need them. The new emerging IoT will run multiple applications that have diverse delay requirements for generated and received measurements. Transmission manager has been proposed for single application sensing infrastructures to get optimal transmission time for measurements with different timing requirements. In this paper, we propose a transmission manager that supports multiple applications with different timing requirements. We formulate the problem with Markov decision process and dynamically adjust transmission instances based on delay requirements of buffered packets. The results show that the proposed approach decreases the energy per bit by 47% on average while guarantee at most 7% of measurements expire before reaching the next node in the network. Under same conditions, other approaches have at most 30% expired measurements.

关键词： Wireless sensor network Energy per bit Markov Decision Process Transmission manager Markov chain Wireless sensor networks transmission time manager network node

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：