000001499 001__ 1499
000001499 005__ 20190130104944.0
000001499 02470 $$2doi$$a10.1088/1361-6463/aa7e38
000001499 037__ $$aARTICLE-2018-013
000001499 041__ $$aeng
000001499 245__ $$aIdentification of Curie temperature distributions in magnetic particulate systems
000001499 260__ $$c2017
000001499 269__ $$a2017
000001499 336__ $$aArticles
000001499 520__ $$aThis paper develops a methodology for extracting the Curie temperature distribution from magnetisation versus temperature measurements which are realizable by standard laboratory magnetometry. The method is integral in nature, robust against various sources of measurement noise, and can be adopted to a wide range of granular magnetic materials and magnetic particle systems. The validity and practicality of the method is demonstrated using large-scale Monte–Carlo simulations of an Ising-like model as a proof of concept, and general conclusions are drawn about its applicability to different classes of systems and experimental conditions.
000001499 546__ $$aEnglish
000001499 655__ $$aHard condensed matter, structure, and dynamics
000001499 655__ $$aHard condensed matter and electronic properties
000001499 690__ $$aExternal experiment
000001499 7001_ $$aWaters, J
000001499 7001_ $$aBerger, A
000001499 7001_ $$aKramer, D
000001499 7001_ $$01391$$aFangohr, H
000001499 7001_ $$aHovorka, O
000001499 773__ $$j50$$pJ. Phys. D: Appl. Phys.$$q35LT01$$tJournal of Physics D: Applied Physics
000001499 790__ $$aEuXFEL staff
000001499 790__ $$aOther
000001499 85641 $$uhttp://iopscience.iop.org/article/10.1088/1361-6463/aa7e38
000001499 8560_ $$fkurt.ament@xfel.eu
000001499 8564_ $$s1153592$$uhttps://xfel.tind.io/record/1499/files/Waters_2017_J._Phys._D%253A_Appl._Phys._50_35LT01.pdf
000001499 8564_ $$s1764118$$uhttps://xfel.tind.io/record/1499/files/Waters_2017_J._Phys._D%253A_Appl._Phys._50_35LT01.pdf?subformat=pdfa$$xpdfa
000001499 900__ $$aControl and Analysis Software
000001499 980__ $$aARTICLE