Multicarrier analysis of magnetotransport data at low and high electric fields

Murthy, OVSN and Venkataraman, V (2009) Multicarrier analysis of magnetotransport data at low and high electric fields. In: Physica Status Solidi C - Current Topics in SOlid State Physics, 6 (6). pp. 1505-1508.

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Abstract

We present some results on multicarrier analysis of magnetotransport data, Both synthetic as well as data from narrow gap Hg0.8Cd0.2Te samples are used to demonstrate applicability of various algorithms vs. nonlinear least square fitting, Quantitative Mobility Spectrum Analysis (QMSA) and Maximum Entropy Mobility Spectrum Analysis (MEMSA). Comments are made from our experience oil these algorithms, and, on the inversion procedure from experimental R/sigma-B to S-mu specifically with least square fitting as an example. Amongst the conclusions drawn are: (i) Experimentally measured resistivity (R-xx, R-xy) should also be used instead of just the inverted conductivity (sigma(xx), sigma(xy)) to fit data to semiclassical expressions for better fits especially at higher B. (ii) High magnetic field is necessary to extract low mobility carrier parameters. (iii) Provided the error in data is not large, better estimates to carrier parameters of remaining carrier species can be obtained at any stage by subtracting highest mobility carrier contribution to sigma from the experimental data and fitting with the remaining carriers. (iv)Even in presence of high electric field, an approximate multicarrier expression can be used to guess the carrier mobilities and their variations before solving the full Boltzmann equation.

Item Type:	Journal Article
Publication:	Physica Status Solidi C - Current Topics in SOlid State Physics
Series.:	PHYSICA STATUS SOLIDI C-CURRENT TOPICS IN SOLID STATE PHYSICS
Publisher:	Wiley
Additional Information:	Copyright for this article belongs to Wiley.
Department/Centre:	Division of Physical & Mathematical Sciences > Physics
Date Deposited:	10 Dec 2009 09:59
Last Modified:	19 Sep 2010 05:52
URI:	http://eprints.iisc.ac.in/id/eprint/24834

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