Differential inelastic electron scattering cross sections from experimental reflection electron-energy-loss spectra: Application to background removal in electron spectroscopy

Tougaard, S.; Chorkendorff, Ib

doi:10.1103/physrevb.35.6570

Cited by 295 publications

(172 citation statements)

References 28 publications

Supporting

Mentioning

167

Contrasting

Unclassified

Order By: Relevance

“…Under quite general assumptions, the (single inelastic scattering) energy loss function (ELF) corresponding to the bulk target (i.e., avoiding surface effect contributions) can be extracted from these experimental data using a procedure described in ref 27. Figure 1b shows the ELF of Ta 2 O 5 derived from the REELS measurements presented in the upper panel.…”

Section: Electronic Excitation Spectrum Ofmentioning

confidence: 99%

Energy Loss Function of Solids Assessed by Ion Beam Energy-Loss Measurements: Practical Application to Ta₂O₅

et al. 2015

View full text Add to dashboard Cite

We present a study where the energy loss function of Ta 2 O 5 , initially derived in the optical limit for a limited region of excitation energies from reflection electron energy loss spectroscopy (REELS) measurements, was improved and extended to the whole momentum and energy excitation region through a suitable theoretical analysis using the Mermin dielectric function and requiring the fulfillment of physically motivated restrictions, such as the f-and KK-sum rules. The material stopping cross section (SCS) and energy-loss straggling measured for 300−2000 keV proton and 200− 6000 keV helium ion beams by means of Rutherford backscattering spectrometry (RBS) were compared to the same quantities calculated in the dielectric framework, showing an excellent agreement, which is used to judge the reliability of the Ta 2 O 5 energy loss function. Based on this assessment, we have also predicted the inelastic mean free path and the SCS of energetic electrons in Ta 2 O 5 .

show abstract

Section: Electronic Excitation Spectrum Ofmentioning

confidence: 99%

Energy Loss Function of Solids Assessed by Ion Beam Energy-Loss Measurements: Practical Application to Ta₂O₅

et al. 2015

View full text Add to dashboard Cite

show abstract

“…However, quantitative interpretation of the experimental results is not straightforward since inside the solid, the electrons experience intensive multiple scattering implying that experimental data need to be deconvoluted before information on the dielectric response of the solid can be extracted from them. In the past, the algorithm of Tougaard and Chorkendorff (hereafter designated by "TC") [11] has been frequently used for this purpose. However, it has recently been shown [12,13] that the loss distribution retrieved by the TC-algorithm is not unique, i.e., it constitutes a not very well defined mixture of so-called surface and volume electronic excitations of any scattering order, which makes quantitative interpretation and extraction of the dielectric function troublesome.…”

mentioning

confidence: 99%

Analysis of reflection electron energy loss spectra (REELS) for determination of the dielectric function of solids: Fe, Co, Ni

Werner

2007

Surface Science

View full text Add to dashboard Cite

A simple procedure is developed to simultaneously eliminate multiple scattering contributions from two reflection electron energy loss spectra (REELS) measured at different energies or for different experimental geometrical configurations. The procedure provides the differential inverse inelastic mean free path (DIIMFP) and the differential surface excitation probability (DSEP).The only required input parameters are the differential cross section for elastic scattering and a reasonable estimate for the inelastic mean free path (IMFP). No prior information on surface excitations is required for the deconvolution. The retrieved DIIMFP and DSEP can be used to determine the dielectric function of a solid by fitting the DSEP and DIIMFP to theory. Eventually, the optical data can be used to calculate the (differential and total) inelastic mean free path and the surface excitation probability. The procedure is applied to Fe, Co and Ni and the retrieved optical data as well as the inelastic mean free paths and surface excitation parameters derived from it are compared to values reported earlier in the literature. In all cases, reasonable agreement is found between the present data and the earlier results, supporting the validity of the procedure.

show abstract

“…al. [13,16,18,[20][21][22][23][24][25] have employed the semi-classical dielectric response model proposed by Tougaard and Yubero [26][27][28][29] in their calculation of ELF. The algorithms of this method have been implemented in the generally available QUEELS-(k,)-REELS software package [29].…”

Section: Experimental Methodsmentioning

confidence: 99%

“…REELS is surface sensitive and the spectra carries information on the electronic structure of the material because the energy loss experienced by the incident electron depends on the electronic structure of the material. The spectra can easily be recorded over a wide energy-loss range [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29]. The calculation of the ELFs of zirconium oxide, silicon dioxide, and zirconium silicates from REELS spectra has already been performed by Tahir et.…”

mentioning

confidence: 99%

Stopping Powers and Inelastic Mean Free Path of 100 eV to 30 keV Electrons in Zirconium Silicates

et al. 2013

View full text Add to dashboard Cite

We have determined the electron stopping power (SP) and inelastic mean free path (IMFP) of (ZrO 2 ) x (SiO 2 ) 1-x (x=1, 0.75, 0.5, 0.25, 0) for electron energies from 100 eV to 30 keV by means of modified Born-Ochkur equations. The energy loss function (ELF) is required in the calculation of SP and IMFP. We used the electron energy losses from 0 to 80 eV obtained by quantitative analysis of reflection electron energy-loss spectroscopy (REELS) spectra. The values of SP and IMFP for high contents of ZrO 2 (x=50% and x=75%) in Zr-silicates are similar to those of ZrO 2 , and similar to those of SiO 2 for low contents of ZrO 2 (x=25%) in Zr-silicates. There are small differences in the values of SP and IMFP for ZrO 2 and SiO 2 . We found that the SP decreases while the IMFP increases with increasing electron energy. We have demonstrated that the ELF obtained from the quantitative analysis of REELS spectra provide us with a straightforward way to determine SP and IMFP for alloy materials by using modified Born-Ochkur equations.

show abstract

Differential inelastic electron scattering cross sections from experimental reflection electron-energy-loss spectra: Application to background removal in electron spectroscopy

Cited by 295 publications

References 28 publications

Energy Loss Function of Solids Assessed by Ion Beam Energy-Loss Measurements: Practical Application to Ta₂O₅

Energy Loss Function of Solids Assessed by Ion Beam Energy-Loss Measurements: Practical Application to Ta₂O₅

Analysis of reflection electron energy loss spectra (REELS) for determination of the dielectric function of solids: Fe, Co, Ni

Stopping Powers and Inelastic Mean Free Path of 100 eV to 30 keV Electrons in Zirconium Silicates

Contact Info

Product

Resources

About

Differential inelastic electron scattering cross sections from experimental reflection electron-energy-loss spectra: Application to background removal in electron spectroscopy

Cited by 295 publications

References 28 publications

Energy Loss Function of Solids Assessed by Ion Beam Energy-Loss Measurements: Practical Application to Ta2O5

Energy Loss Function of Solids Assessed by Ion Beam Energy-Loss Measurements: Practical Application to Ta2O5

Analysis of reflection electron energy loss spectra (REELS) for determination of the dielectric function of solids: Fe, Co, Ni

Stopping Powers and Inelastic Mean Free Path of 100 eV to 30 keV Electrons in Zirconium Silicates

Contact Info

Product

Resources

About

Energy Loss Function of Solids Assessed by Ion Beam Energy-Loss Measurements: Practical Application to Ta₂O₅

Energy Loss Function of Solids Assessed by Ion Beam Energy-Loss Measurements: Practical Application to Ta₂O₅