Physics Faculty
Ariel Caticha Professor of Physics Ph.D. California Institute of Technology B.Sc. and M.Sc. UNICAMP, Brazil Room: Physics 213 Telephone: (518) 4424592 Email: ariel@albany.edu 

Awards:  


Research Areas:  


Current Research:  
In recent years my research has focused on the connection between physics and information. 

Research Links:  
My papers on entropic inference and on its applications to the foundations of statistical mechanics and of quantum mechanics can be found here. 

Selected Recent Publications on Entropic Inference:  
The general framework of entropic and Bayesian inference and its application to statistical and quantum mechanics is the general subject of the course APhy640 Information Physics.This material is collected into the following set of lectures, “Entropic Inference and the Foundations of Physics” invited monograph published by the Brazilian Chapter of the International Society for Bayesian Analysis—ISBrA (Sao Paulo, Brazil 2012). A short tutorial version can be found in “Entropic Inference” in Bayesian Inference and Maximum Entropy Methods in Science and Engineering, ed. by A. MohammadDjafari, et al., AIP Conf. Proc. 1305, 20 (2010) ). The unified treatment of Bayesian and entropic methods first appeared in “Updating Probabilities” (with Adom Giffin) in Bayesian Inference and Maximum Entropy Methods in Science and Engineering, ed. by A. MohammadDjafari, AIP Conf. Proc. Vol. 872, 31 (2007). The application of entropic inference to entropic priors appears in “Maximum Entropy and Bayesian Data Analysis: Entropic Prior Distributions” (with Roland Preuss) Phys. Rev. E 70, 046127 (2004). 

Selected Recent Publications on Entropic Physics (Quantum Mechanics, Statistical Mechanics and Gravity):  
The derivation of quantum mechanics as an example of entropic inference is given in “Entropic Dynamics, Time and Quantum Theory” J. Phys. A 44, 225303 (2011). “Entropic Dynamics and the Quantum Measurement Problem” (with D. T. Johnson) Bayesian Inference and Maximum Entropy Methods in Science and Engineering, ed. by P. Goyal et al., AIP Conf. Proc. 1443, 104(2012). "Momentum and Uncertainty Relations in the Entropic Approach to Quantum Theory" (with S. Nawaz), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, ed. by P. Goyal et al., AIP Conf. Proc. 1443, 112 (2012). An application to the statistical mechanics of fluids is “Using relative entropy to find optimal approximations: An application to simple fluids” (with ChihYuan Tseng), Physica A 387, 6759 (2008). A somewhat premature attempt to tackle general relativity: “The Information geometry of Space and Time” in Bayesian Inference and Maximum Entropy Methods in Science and Engineering, ed. by K. Knuth, A. Abbas, R. Morris, and J. Castle, AIP Conf. Proc. Vol. 803, 355 (2006). The derivation of quantum mechanics as an algebra of experimental setups was developed in “Consistency and linearity in quantum theory” Phys. Lett. A 244, 13 (1998). “Consistency, amplitudes and probabilities in quantum theory” Phys. Rev. A 57, 1572 (1998). “Insufficient reason and entropy in quantum theory” Found. Phys. 30, 227 (2000). 

RESEARCH HIGHLIGHT
Prof. Goyal publishes new article "Derivation of Quantum Theory from Feynman's Rules" in Physical Review A. Full text available here.
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STUDENT SUCCESS
Sajid Bashir and Sajjad Tahir both gave presentations at the upstate NY chapter of the American Association of Physicists in Medicine on November 15. Sajid spoke on "Phase Imaging with Focused Polycapillary Optics," and Sajjad on "Fourier Transform Image Processing Techniques for GridBased Phase Contrast Imaging".
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