Results derived from data obtained by Wilkinson Microwave Anisotropy Probe (WMAP) are extensively used in many areas of physics. It has been claimed recently that the published WMAP calibrated data and maps might be in question because of an undocumented timing offset in the official processing pipeline [The origin of the WMAP quadrupole, Hao Liu, Shao-Lin Xiong, Ti-Pei Li]. This timing error was shown to induce a quadrupole pattern in the final maps that is very similar to the officially published quadrupole mode. It is clear that a timing offset at the map-making stage will strongly affect the quadrupole scale, since the map-making in [The origin of the WMAP quadrupole, Hao Liu, Shao-Lin Xiong, Ti-Pei Li] was based on the official WMAP calibrated TOD. But there is also a possibility that the calibration process itself could be affected as well and we test this here. In this work we approximately reproduce the original dipole-based iterative calibration procedure to produce a calibrated data set starting from raw uncalibrated data. Using the calibrated data we generate a set of sky maps that we compare to the officially released maps and note some differences between our and official results. We also investigate the effects of various timing offsets introduced in the calibration stage on the final products. We find that a timing offset in the calibration process has little effect on the calibrated data and induced quadrupole.
Before you start working with photo images on your computer (or even view them), you should really make sure that your video subsystem is capable and is displaying things correctly. These pages will assist you in adjusting your monitor by providing various test patterns. They also give a brief introduction to issues involved in calibrating a monitor
T. Stürmer, K. Rothman, J. Avorn, и R. Glynn. American journal of epidemiology, 172 (7):
843-54(октября 2010)5732<m:linebreak></m:linebreak>JID: 7910653; aheadofprint;<m:linebreak></m:linebreak>Propensity score.
H. Janes, M. Pepe, и W. Gu. Annals of internal medicine, 149 (10):
751-60(ноября 2008)4876<br/>JID: 0372351; ppublish;<br/>Models predictius; Avaluació de riscs.
T. Johnson. Primary dental care : journal of the Faculty of General Dental Practitioners (UK), 19 (1):
39-43(января 2012)6689<m:linebreak></m:linebreak>JID: 9617339; ppublish;<m:linebreak></m:linebreak>Disseny.
R. Stern, и D. Smith. Annals of internal medicine, 150 (6):
427-8; author reply 428(марта 2009)5199<m:linebreak></m:linebreak>JID: 0372351; CON: Ann Intern Med. 2008 Nov 18;149(10):751-60. PMID: 19017593; ppublish;<m:linebreak></m:linebreak>Avaluació de riscs.
G. Tripepi, K. Jager, F. Dekker, и C. Zoccali. Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 25 (5):
1402-5(мая 2010)Models predictius; Introductori; Nefrologia.
Y. Haibo, X. Tao, J. Lu, и T. Gu. Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, ICST, (2014)
B. Maag, Z. Zhou, и L. Thiele. 2019 IEEE SmartWorld, Ubiquitous Intelligence Computing, Advanced Trusted Computing, Scalable Computing Communications, Cloud Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), стр. 618-625. (августа 2019)
H. Xing, G. Nicholls, и J. Lee. Proceedings of the 36th International Conference on Machine Learning, том 97 из Proceedings of Machine Learning Research, стр. 6912--6920. Long Beach, California, USA, PMLR, (09--15 Jun 2019)
J. Kleinberg, S. Mullainathan, и M. Raghavan. (2016)cite arxiv:1609.05807Comment: To appear in Proceedings of Innovations in Theoretical Computer Science (ITCS), 2017.
A. Kumar, P. Liang, и T. Ma. (2019)cite arxiv:1909.10155Comment: Accepted as a spotlight to NeurIPS 2019, original title was "Variance Reduced Uncertainty Calibration".
V. Cerqueira, L. Torgo, F. Pinto, и C. Soares. Machine Learning and Knowledge Discovery in Databases, стр. 478--494. Cham, Springer International Publishing, (2017)
O. Saukh, D. Hasenfratz, и L. Thiele. Proceedings of the 14th International Conference on Information Processing in Sensor Networks, стр. 274--285. ACM, (2015)
P. Molchanov, S. Gupta, K. Kim, и K. Pulli. 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), (2015)
T. Kopinski, A. Gepperth, S. Geisler, и U. Handmann. Artificial Neural Networks and Machine Learning -- ICANN 2014, стр. 233--240. Cham, Springer International Publishing, (2014)