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A large-solid-angle X-ray Raman scattering spectrometer at ID20 of the European Synchrotron Radiation Facility

TL;DR: An end-station for X-ray Raman scattering spectroscopy at beamline ID20 of the European Synchrotron Radiation Facility is described, dedicated to the study of shallow core electronic excitations using non-resonant inelasticX-ray scattering.
Abstract: An end-station for X-ray Raman scattering spectroscopy at beamline ID20 of the European Synchrotron Radiation Facility is described. This end-station is dedicated to the study of shallow core electronic excitations using non-resonant inelastic X-ray scattering. The spectrometer has 72 spherically bent analyzer crystals arranged in six modular groups of 12 analyzer crystals each for a combined maximum flexibility and large solid angle of detection. Each of the six analyzer modules houses one pixelated area detector allowing for X-ray Raman scattering based imaging and efficient separation of the desired signal from the sample and spurious scattering from the often used complicated sample environments. This new end-station provides an unprecedented instrument for X-ray Raman scattering, which is a spectroscopic tool of great interest for the study of low-energy X-ray absorption spectra in materials under in situ conditions, such as in operando batteries and fuel cells, in situ catalytic reactions, and extreme pressure and temperature conditions.

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J. Synchrotron Rad. (2017). 24, 521–530 https://doi.org/10.1107/S1600577516020579 521
Received 3 November 2016
Accepted 28 December 2016
Edited by J. F. van der Veen
Keywords: inelastic x-ray scattering;
X-ray Raman spectroscopy; beamline;
spectrometer; ESRF.
A large-solid-angle X-ray Raman scattering
spectrometer at ID20 of the European Synchrotron
Radiation Facility
S. Huotari,
a,b
* Ch. J. Sahle,
a
Ch. Henriquet,
a
A. Al-Zein,
a,c
K. Martel,
a
L. Simonelli,
a,d
R. Verbeni,
a
H. Gonzalez,
a
M.-C. Lagier,
a
C. Ponchut,
a
M. Moretti Sala,
a
M. Krisch
a
and G. Monaco
a,e
a
ESRF The European Synchrotron, CS40220, 38043 Grenoble Cedex 9, France,
b
Department of Physics,
PO Box 64, University of Helsinki, 00014 Helsinki, Finland,
c
Department of Physics, Faculty of Science,
Beirut Arab University, Beirut 11072809, Lebanon,
d
ALBA Synchrotron Light Facility, Carrer de la Llum 2-26,
08290 Cerdanyola del Valle
´
s, Barcelona, Spain, and
e
Dipartimento di Fisica, Universita
`
di Trento,
via Sommarive 14, 38123 Povo (TN), Italy. *Correspondence e-mail: simo.huotari@helsinki.fi
An end-station for X-ray Raman scattering spectroscopy at beamline ID20 of
the European Synchro tron Radiation Facility is described. This end-station is
dedicated to the study of shallow core electronic excitations using non-resonant
inelastic X-ray scattering. The spectrometer has 72 spherically bent analyzer
crystals arranged in six modular groups of 12 analyzer crystals each for a
combined maximum flexibility and large solid angle of detection. Each of the six
analyzer modules houses one pixelated area detector allowing for X-ray Raman
scattering based imaging and efficient separation of the desired signal from
the sample and spuri ous scattering from the often used complicated sample
environments. This new end-station provides an unprecedented instrument for
X-ray Raman scattering, which is a spectroscopic tool of great interest for the
study of low-energy X-ray absorption spectra in materials under in situ
conditions, such as in operando batteries and fuel cells, in situ cata lytic reactions,
and extreme pressure and temperature conditions.
1. Introduction
X-ray Raman scattering (XRS) spectroscopy is a versatile tool
for studying shallow X-ray absorption edges usin g hard
X-rays. It has proven an invaluable technique for the study of
electronic excitations in a variety of sample systems such as
crystals (Mattila et al., 2005; Sternemann et al., 2008; Pylk-
ka
¨
nen et al., 2010; Huotari et al., 2012; Nyrow et al., 2014a,b;
Tse et al., 2014; Pascal et al., 2014; Galambosi et al., 2006;
Conrad et al., 2009; Moretti Sala et al., 2014), liquids (Wernet
et al., 2004; Pylkka
¨
nen et al., 2011; Sahle et al., 2013, 2016 a;
Juurinen et al., 2013, 2014; Niskanen et al., 2015) and gases
(Sakko et al., 2011; Inkinen et al., 2013; Zhu et al., 2011). The
inherent properties of hard X-rays used for this technique
render XRS perfectly suitable for the study of soft X-ray
absorption spectroscopy (XAS) or the corresponding coun-
terpart of electron-energy-loss spectroscopy (EELS), often
named energy-loss near-edge structure (Egerton, 2011)
(ELNES), spectra from complex sample environments that
prohibit other probes such as soft X-rays or electrons. XRS
provides a truly bulk-sensitive probe for samples inside,
for example, in situ catalytic reactors, in operando electro-
chemical cells, and high-pressure diamond anvil cells. Over the
past decades, XRS has been applied to solve geoscientific
questions by studying shallow core edges under extreme
ISSN 1600-5775

pressure and temperature conditions (Sahle et al., 2013; Mao et
al., 2003; Lee et al., 2008; Rueff & Shukla, 2010; Tse et al., 2011;
Shieh et al., 2013; Ding et al., 2014), follow chemical reactions
in situ (Sahle et al., 2016a; Miedema et al., 2012; Inki nen et al.,
2015) and study liquid samples under well defined thermo-
dynamic conditions (Pylkka
¨
nen et al., 2011; Juurinen et al.,
2013, 2014; Niskanen et al., 2015; Sahle et al., 2016 b). It can
even be used as a contrast mechanism for three-dimensional
imaging (Huotari et al., 2011; Sahle et al., 2017a,b).
Besides true bulk sensitivity, scattering of a hard X-ray
photon by an electron can lead to a significant amount of
exchanged momentum. This can be exploited to study the full
electronic structure of materials beyond the dipole limit
(Mattila et al., 2005; Krisch et al., 1997; Soininen et al., 2005).
Furthermore, the non-resonant nature of the XRS process
renders the signal independent of the de-excitation channel,
which leads to negligible self-absor ption effects and a more
reliable spectral shape in XRS than in the complementary
soft- or tender-XAS techniques. Using XRS, both the XANES
and the EXAFS (Huotari et al., 2012; Bergmann et al., 2007;
Hiraoka et al., 2013, 2016) regions are accessible.
An obvious drawback of XRS is the orders-of-magnitude
weaker scattering cross section in comparison with the prob-
ability for photoelectric absorption. This can be compensated
for by using light sources with a very high brilliance and
efficient signal collection. This has been the design target of
high-efficiency XRS end-stations around the world (see, for
example, Sokaras et al., 2012; Verbeni et al., 2009; Fister et al.,
2006; Cai et al., 2003) and it has also been the guiding motive
for the design of the spectrometer presented here.
In this article, we present the new XRS end-station
currently installed and commissioned at the inelastic X-ray
scattering spectroscopy beamline ID20 of the European
Synchrotron Radiation Facility (ESRF, Grenoble, France).
First, we briefly introduce the theoretical background neces-
sary for XRS in x2, then we will give a detailed description of
this new large-solid-angle spectrometer and provide its key
characteristics in x3. We will further describe in brief the data
analysis (x4), show some representative data taken with the
end-station (x5), and provide conclu sions and an outlook in x6.
2. Theoretical background
The measured signal in XRS, and in non-resonant inelastic
X-ray scatter ing (IXS) in general, is proportional to the
double differential cross section (Schu
¨
lke, 2007),
d
2
d d!
¼
d
d

Th
Sðq;!Þ; ð1Þ
which consists of the Thomson scattering cross section,
d
d

Th
¼ r
2
e
!
2
!
1

^
ee
1
^
ee
2
ðÞ; ð2Þ
multiplied by the dynamic structure factor
Sðq;!Þ¼
X
i;f
p
i
hfj exp iq r
ðÞj
ii
2
E
i
E
f
þ !
ðÞ
: ð3Þ
Here, ! is the energy transferred to the sample, !
1
is the
energy of the incident photons, !
2
is the energy of the scat-
tered photons, r
e
is the classical electron radius, and
^
ee
1
(
^
ee
2
)is
the polarization vector of the incident (scattered) photons.
Further, jii is the electron initial state (typically a shallow or
low-energy core level) weighted by its probability p
i
and the
summation is over all possible final states jfi. The dynamic
structure factor is the physical quantity that contains all
information obtainable from the sample via non-resonant
inelastic X-ray scattering. A few curious facts can be drawn
from the above formalism. First of all, in the limit of small
momentum transfer jqj, the operator can be expanded as
expðiq rÞ1+iq r ðq r Þ
2
=2+.... The second term is a
dipolar operator and dominates in the limit q r <1.Ithas
been shown by Mizuno & Ohmura (1967) that in this limit the
dynamic structure factor is directly related to the photo-
absorption spectrum. However, interesting phenomena can
occur since the transferred momentum can reach large values
in comparison with the radial extent of the wavefunction jii.
Then, the higher-order, i.e. non-dipolar, terms in the Taylor
expansion can become dominant. For instance, transitions
from an s-type symmetry initial state to s-type final states
become allowed. This has been used in the investigations
of dipole-forbidden excitons in the K-edges of elements
(Ha
¨
ma
¨
la
¨
inen et al., 2002) as well as in the studies of pre-
resonances of rare-earth ions (Gordon et al., 2007; Huotari et
al., 2015). This q-dependence can be exploited to measure
natural linear dicroism in cubic systems (Gordon et al., 2009).
Other experimental results demonstrate the high potential
of XRS as a bulk-sensitive technique for the characterization
of the electronic properties of actinide materials by studying
the 5d–5f electric multipole transitions at high momentum
transfer (Caciuffo et al., 2010). A highly interesting use of XRS
is furthermore the study of low-energy core-electron excita-
tion spectra in complex environments (high-pressure diamond
anvil cells, in situ chemical reaction cells, etc.) in which soft-
XAS or EELS studies are not possible due to the highly
absorbing sample containers (Sahle et al., 2013; Lee et al.,
2008).
3. Spectrometer
The large-solid-angle XRS spectrometer has been constructed
and commissioned as one of two spectrometers on port ID20
within the framework of the ESRF Upgrade Phase I. The new
beamline and the spectrometer are an upgrade to one of the
two branches of the inelastic scattering beamline previously
located on port ID16 (Verbeni et al., 2009).
ESRF operates a 6 GeV storage ring with a maximum ring
current of 200 mA. The straight section for ID20 contains one
26 mm-period and three revolver undulators that are switch-
able between 32 mm and 26 mm periods. The optics that
prepare the incident beam are the same as for the second
spectrometer on ID20, which is dedicated to high-resolution
beamlines
522 S. Huotari et al.
X-ray Raman scattering spectrometer at ESRF ID20 J. Synchrotron Rad. (2017). 24, 521–530

inelastic X-ray scattering and which will be described else-
where (More tti Sala et al., 2017). The incident-photon beam is
collimated in the vertical plane by a white-beam mirror, which
also serves as a heat-load filter for a liquid-nitrogen-cooled
double-crystal Si(111) pre-monoch romator. The pre-mono-
chromator can work alone as a fixed-exit monochromator or
be coupled with a post-monochromator to form a fixed-exit
ensemble. Various post-monochromator options are available,
e.g. a Si(311) channel-cut, or four-bounce Si(nnn)(n =3,4,5)
or Si(nn0) (n = 4, 6, 8) post-monochromators. Also, a back-
scattering Si(nnn) channel-cut monochromator is available for
highly specialized ultra-high-energy-resolution applications.
Downstream, a toroidal mirror focuses on a secondary source
at a distance of 53 m from the source and 13.7 m from the
sample position. This secondary source is refocused by a
Kirkpatrick–Baez (KB) mirror ensemble to a 8 mm 16 mm
spot size (V H) at the sample position. The working
distances of the KB mirror pair are 1.0 m and 0.5 m. Typical
photon fluxes at the sample position without post-mono-
chromator are 4 10
12
,7 10
13
and 5 10
13
photons s
1
at
6.5 keV, 9.7 keV and 12.9 keV, respectively. With a Si(311)
channel-cut, these numbers are reduced by a factor of seven.
For details on the energy resolution, see subsequent subsec-
tions.
The spectrometer is optimized for non-resonant IXS
experiments with an energy resolution of 0.3–2.0 eV, and
covers a large solid angle for the collection of the scattered
radiation. The leading goal was to place a large number of
analyzer crystals in positions corresponding to well defined
momentum transfers q. These values of q are tunable to match
the requirements of the sample environment and the scientific
problem at hand.
Since XRS is a non-resonant IXS process, the exact values
of incident and scattered photon energies (!
1
and !
2
) are less
relevant, and the measured quan tity depends only on the
energy transfer ! = !
1
!
2
. Therefore, a certain freedom
exists for the choice of the incident energy. Depending on the
exact setup, most XRS spectrometers use incident photon
energies betw een 5 and 20 keV. The design of non-resonant
IXS spectrometers can be made simpler than those made for
resonant IXS, since !
2
can be kept fixed and only !
1
is
scanned.
The entire spectrometer, shown in Fig. 1, is mounted on a
massive granite support, which also holds the KB mirror
assembly. The spectrometer is based on Johann-type analyzer
crystals. The analyzers are attached to motorized modular
units, three of which operate in the horizontal scattering plane,
and three units in the vertical scattering plane. Each unit
contains 12 spherically bent Si(nn0) crystals of 100 mm
diameter (three rows of four analyzers each) with a bending
radius of 1.0 m, for a total of 72 crystals. Each analyzer goni-
ometer is equipped with three motorized movements (,
and a translation along the incident beam direction, tx). The
analyzers are cut to 80 mm active diameter in one direction in
order to minimize strain due to angular compression (see
following section) and in order to maximize the solid-angle of
collection while keeping a compact form for the analyzer
array. A schematic drawing of a single an alyzer unit is shown
in Fig. 2(a). Fig. 2(b) shows a single analyzer mount with its
two rotational and one translational degrees of freedom. Each
module is equippe d with a lightweight composite carbon fiber
vacuum chamber, which is operated in a rough vacuum of
approximately 1 mbar in order to minim ize absorption and
parasitic scattering from air. At the exit of the vacuum
chambers, a single-chip Maxipix (Ponchut et al., 2011) detector
head imp lementing a Timepix readout chip (Llopart et al.,
2007) is mounted as close as possible to the sample position in
order to allow the spectrometer to operate in a near-back-
scattering geom etry.
beamlines
J. Synchrotron Rad. (2017). 24, 521–530 S. Huotari et al.
X-ray Raman scattering spectrometer at ESRF ID20 523
Figure 1
(a) Schematic view of the entire spectrometer assembly consisting of six
independently movable crystal analyzer chambers, each hosting 12
spherically bent crystal analyzers. Three chambers are movable in the
vertical plane and three in the horizontal plane. All analyzer chambers,
the sample stage and the KB mirror system rest on a common granite
plate. (b) Photograph of the spectrometer as installed in the experimental
hutch.

The naming convention for the six analyzer units are
vertical down (VD), vertical up (VU), horizontal left (HL)
and horizontal right (HR) modules in the forward direction,
and vertical back (VB) and horizontal back (HB) modules for
the backscattering ones. However, for the selection of the
required momentum transfer range, the scattering angles of all
modules can be adjusted individually and a variety of config-
urations is possible; a typical analyzer unit arrangement in a
transmission measurement using, for example, a liquid jet or
liquid flow could have four units (two horizontal, two vertical)
at scattering angles in the forward direction (for example,
centered around 2 =35
) and two units in the reflection
geometry at large scattering angles (one horizontal and one
vertical unit at 2 = 122
). This allows collecting data at low
values of q (for Si660 analyzer reflection, q
min
1.5 A
˚
1
)and
high values of q (for Si660 reflection, q
max
9.5 A
˚
1
) simul-
taneously while maximizing the collected solid angle at both
q values.
3.1. Energy resolution
The main contributions to the overall energy resolution
arise from the incident beam bandwidth, the analyzer crystal
bandpass and the so-called off-Rowland contribution. In the
following, we will briefly describe the origin for the contri-
butions related to the spectrometer.
Most geometrical factors to the energy resolution scale as
cot
B
, where
B
is the Bragg angle of the analyzer reflection,
and it is therefore beneficial to design the instrument such that
B
is as close to 90
as possible. However, the fact that all
analyzer crystals are to be illuminated by the inelastically
scattered radiation from the sample and because of space
constraints for extended sample environments,
B
is neces-
sarily smaller than 90
. In particular, the Bragg angles for the
three rows of analyzers within one analyzer module will differ
slightly. For example, for the most commonly used config-
uration with a free sample-to-detector distance of 140 mm, the
Bragg angle values for the three rows of analyzer crystals
are 87.8
, 88.3
and 88.9
(assuming an arrangement of the
analyzer foci on the detector active area that results in as
similar Bragg angles for all analyzers as possible). For a
distance of 75 mm between the detector active surface and
the sample, the Bragg angles are increased to 88.5
, 88.7
and
88.9
, respectively, resulting in a slightly improved overall
energy resolution.
3.1.1. Analyzer resolution function. The spe ctral broad-
ening due to the elastic deformation of a bent analyzer crystal
is discussed in detail elsewhere (Verbeni et al., 2005;
Honkanen et al., 2014a). The currently used analyzer crystals
are based on 300 mm-thick anodically bonded Si wafers that
are not stress relief cut (so-called bent-dicing). Such stress
relief cuts have been shown to decrease the contribution of so-
called angular compression (Honkanen et al., 2014a,b), which
is currently the main contribution to the crystal analyzer
energy resolution. Complete elimination of this angular
compression would lead to an energ y resolution of the
analyzer crystals as described by the theory of Takagi and
Taupin (Takagi, 1962; Taupin, 1964). Relief cuts to minimize
the contribution to the energy resolution by this angula r
compression can be implemented in the future. Strain-induced
contributions to the energy resol ution can furthermore be
reduced by using apertures in front of the analyzers (i.e.
masks) and thus reducing the illuminated crystal area, i.e.
reducing the solid angle of detection. At present, available
choices for mask apertures are circular masks with diameters
of 40 mm, 60 mm and 80 mm. Calculated contributions to
the energy resolution induced by the strain in the analyzer
crystal are summarized for different analyzer apertures in
Table 1.
3.1.2. Off-Rowland contribution. Since the spectrometer
should operate at analyzer Bragg angles as close to 90
as
possible and, at the same time, it is necessary to reserve a
certain amount of space for the sample environment, the
beamlines
524 S. Huotari et al.
X-ray Raman scattering spectrometer at ESRF ID20 J. Synchrotron Rad. (2017). 24, 521–530
Table 1
Calculated strain-induced analyzer crystal contributions to the resolution
function in eV with masks with varying diameter and at different
reflection orders. These values do not depend strongly on the exact Bragg
angle.
Reflection
Energy
(keV) 40 mm 60 mm 80 mm
No
mask
Si(4, 4, 0) 6.46 0.1 0.3 0.5 0.7
Si(6, 6, 0) 9.69 0.3 0.5 0.7 1.0
Si(8, 8, 0) 12.92 0.8 1.0 1.2 1.5
Si(10, 10, 0) 16.15 1.5 1.6 1.8 2.0
Figure 2
(a) Sketch of an analyzer module hosting 12 analyzer crystals on a 1 m
Rowland circle. (b) Technical drawing of an individual analyzer crystal
mount with its two rotational and one translational degrees of freedom.

detector is placed inside the Rowland circle by a distance of
2z. In order to maintain the foci of the analyzer crystals on the
detector, the analyzers are mo ved away from the sample
correspondingly by a distance z. This causes the Bragg angles
to vary across the analyzer and thus generates a dispersion
given approximately by
E
E
¼
zD
R
2
cot
B
: ð4Þ
Here, D is the size of the analyzer crystal in the dispersive
direction (80 mm in the current case). This dispersion is called
the off-Rowland contribution to the resolution function and it
may become an important limiting factor in the total resolving
power. To minimize the off-Rowland contribution, the relative
offset z=R and the individual analyzer opening D=R should be
minimized and
B
kept as close to 90
as possible. However,
the simultaneous requirements of a sufficient space for sample
environments and a high energy resolution may become
mutually excluding and certain compromises are necessary.
At present, there are two choices of sample-to-detecto r
distances to adopt for different sample environments and
requirements for energy resolution. The different choices are
realised by two different detector housings (see next section)
leading to sample-to-detector distances of 2z = 75 mm and
2z = 140 mm. The off-Rowland contributions of these
different choices are summarized in Table 2.
3.1.3. Energy resolution of the incident X-rays.The
monochromator configurations avai lable are a cryogenically
cooled Si(111) pre-monochromator only or a combination
of this pre-monochromator with a varie ty of post-mono-
chromators that were described earlier in this article. With
the utilized spherically bent analyzers crystals, the Si(311)
channel-cut monochromator matches the spectrometer reso-
lution best so it is the most commonly used option for a post-
monochromator. Contributions to the overall energy resolu-
tion due to the incident bandwidth are summarized for the
two most useful monochromator configurations [Si(111) pre-
monochromator, and Si(111) pre-monochromator augmented
by a Si(311) channel-cut monochromator] in Table 3.
3.1.4. Overall energy resolution. Tables 4 and 5 report the
overall measured energy resolution based on the full width at
half-maximum (FWHM) of quasi-elastic lines measured off a
thin polymer foil for the most commonly used monochromator
and spectrometer settings.
To further increase the overall resolving power of the
spectrometer while conserving the large solid angle, one can
take advantage of the fact that the dispersion across a
spherically bent crystal analyzer can be compensated for using
an off-focus geometry as was shown recently by Honkanen et
al. (2014b). In comparison with Honkanen et al., however, the
off-focus condition with the XRS spectrometer described here
is achieved by displacing the analyzer crystals along the scat-
tered beam direction (as opposed to displacing the area
detector). Obviously, the off-focus geometry comes along with
a loss of spatial resolution of the spectrometer and is thus not
suitable for samples contained in highly complex sample
beamlines
J. Synchrotron Rad. (2017). 24, 521–530 S. Huotari et al.
X-ray Raman scattering spectrometer at ESRF ID20 525
Table 2
Calculated off-Rowland contribution to the resolution function in eV
with masks with varying diameter and at different reflection orders. These
are values for the middle row of analyz ers (there is in addition one row of
analyzers with slightly higher values and one row with slightly lower
ones).
Sample
distance Reflection 40 mm 60 mm 80 mm
No
mask
Si(4, 4, 0) 0.11 0.17 0.23 0.28
75 mm Si(6, 6, 0) 0.18 0.27 0.37 0.46
Si(8, 8, 0) 0.23 0.34 0.45 0.56
Si(10, 10, 0) 0.28 0.42 0.56 0.70
Sample
distance Reflection 40 mm 60 mm 80 mm
No
mask
Si(4, 4, 0) 0.22 0.33 0.44 0.55
140 mm Si(6, 6, 0) 0.36 0.54 0.76 0.90
Si(8, 8, 0) 0.44 0.66 0.88 1.10
Si(10,10, 0) 0.55 0.83 1.10 1.38
Table 4
Measured FWHM of the spectrometer resolution functions at different
reflection orders, monochromator settings and sample–detector distances.
All results were obtained using 60 mm masks. The reported values are in
eV. The calculated (Calc.) values are the root mean squares of the values
reported in Tables 1, 2 and 3.
Reflection
Energy
(keV)
Si(111) +
Si(311) Calc. Si(111) Calc.
2z =75mm
Si(4, 4, 0) 6.46 0.32 0.01 0.42 0.89 0.01 0.79
Si(6, 6, 0) 9.69 0.65 0.02 0.69 1.39 0.02 1.21
Si(8, 8, 0) 12.92 1.15 0.02 1.18 2.03 0.01 1.77
Si(10, 10, 0) 16.15 1.72 0.08 1.78 2.62 0.02 2.43
2z = 140 mm
Si(4, 4, 0) 6.46 0.42 0.02 0.51 0.90 0.02 0.84
Si(6, 6, 0) 9.69 0.73 0.03 0.84 1.49 0.05 1.30
Si(8, 8, 0) 12.92 1.24 0.03 1.31 2.08 0.01 1.86
Si(10, 10, 0) 16.15 1.77 0.10 1.92 2.70 0.04 2.53
Table 3
Calculated incident bandwidth contribution to the overall resolution
function with different monochromator ensembles and different reflec-
tion orders (Shvydko, 2004). Values are in eV.
Energy
Si(111)
monochromator
Si(311)
channel-cut
Si(4, 4, 0) 0.71 0.25
Si(6, 6, 0) 1.07 0.40
Si(8, 8, 0) 1.42 0.54
Si(10, 10, 0) 1.78 0.67
Table 5
Measured FWHM of the spectrometer resolution function in eV at the
Si(660) analyzer reflection order for different mask sizes, using a Si(111)
pre-monochromator and a Si(311) channel-cut.
Mask size 2z =75mm 2z = 140 mm
40 mm 0.50 0.01 0.53 0.01
60 mm 0.65 0.02 0.73 0.03
80 mm 0.86 0.03 1.03 0.06

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Journal ArticleDOI
TL;DR: An end-station for resonant inelastic X-ray scattering and (resonant) X-rays emission spectroscopy at beamline ID20 of ESRF - The European Synchrotron is presented.
Abstract: An end-station for resonant inelastic X-ray scattering and (resonant) X-ray emission spectroscopy at beamline ID20 of ESRF - The European Synchrotron is presented. The spectrometer hosts five crystal analysers in Rowland geometry for large solid angle collection and is mounted on a rotatable arm for scattering in both the horizontal and vertical planes. The spectrometer is optimized for high-energy-resolution applications, including partial fluorescence yield or high-energy-resolution fluorescence detected X-ray absorption spectroscopy and the study of elementary electronic excitations in solids. In addition, it can be used for non-resonant inelastic X-ray scattering measurements of valence electron excitations.

66 citations


Cites background from "A large-solid-angle X-ray Raman sca..."

  • ...The high-efficiency medium- energy-resolution spectrometer that has been conceived for non-resonant IXS from core levels has been described else- where (Huotari et al., 2017)....

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  • ...The spectrometer assembly with its KB mirrors can be translated into a stand-by position when experiments are to be performed in the downstream hutch with its non-resonant IXS (X-ray Raman spectroscopy) instrument (Huotari et al., 2017)....

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Journal ArticleDOI
TL;DR: It is found that all known X-ray spectroscopic observables can be fully and consistently described with continuous-distribution models of near-tetrahedral liquid water at ambient conditions with 1.74 ± 2.1% donated and accepted H-bonds per molecule, pointing to a continuous- distribution model.
Abstract: The phase diagram of water harbors controversial views on underlying structural properties of its constituting molecular moieties, its fluctuating hydrogen-bonding network, as well as pair-correlation functions. In this work, long energy-range detection of the X-ray absorption allows us to unambiguously calibrate the spectra for water gas, liquid, and ice by the experimental atomic ionization cross-section. In liquid water, we extract the mean value of 1.74 ± 2.1% donated and accepted hydrogen bonds per molecule, pointing to a continuous-distribution model. In addition, resonant inelastic X-ray scattering with unprecedented energy resolution also supports continuous distribution of molecular neighborhoods within liquid water, as do X-ray emission spectra once the femtosecond scattering duration and proton dynamics in resonant X-ray–matter interaction are taken into account. Thus, X-ray spectra of liquid water in ambient conditions can be understood without a two-structure model, whereas the occurrence of nanoscale-length correlations within the continuous distribution remains open.

53 citations

Journal Article
TL;DR: It is found that the XRS spectral features change systematically at low concentrations and saturate at 11 mol/kg, which suggests a gradual destruction in the hydrogen-bond network until the saturation concentration.
Abstract: We report a study on the hydrogen-bond network of water in aqueous LiCl solutions using X-ray Raman scattering (XRS) spectroscopy. A wide concentration range of 0–17 mol/kg was covered. We find that the XRS spectral features change systematically at low concentrations and saturate at 11 mol/kg. This behavior suggests a gradual destruction in the hydrogen-bond network until the saturation concentration. The surprisingly large concentration required for the saturation supports an interpretation in which the ions affect the structure of water only within their first hydration shell. The study is complemented by density-functional-theory calculations and molecular dynamics simulations.

38 citations

Journal ArticleDOI
01 Feb 2019
TL;DR: In this paper, the authors measured the O K-edge and the Si L-2,L-3-edge in silica up to 110 GPa using X-ray Raman scattering spectroscopy, and found a striking match to calculated spectra based on molecular dynamic simulations.
Abstract: SiO(2 )is the main component of silicate melts and thus controls their network structure and physical properties. The compressibility and viscosities of melts at depth are governed by their short range atomic and electronic structure. We measured the O K-edge and the Si L-2,L-3-edge in silica up to 110 GPa using X-ray Raman scattering spectroscopy, and found a striking match to calculated spectra based on structures from molecular dynamic simulations. Between 20 and 27 GPa, Si-[4] species are converted into a mixture of Si-[5] and Si-[6] species and between 60 and 70 GPa, Si-[6] becomes dominant at the expense of Si-[5] with no further increase up to at least 110 GPa. Coordination higher than 6 is only reached beyond 140 GPa, corroborating results from Brillouin scattering. Network modifying elements in silicate melts may shift this change in coordination to lower pressures and thus magmas could be denser than residual solids at the depth of the core-mantle boundary.

32 citations

References
More filters
Book
31 Dec 1995
TL;DR: In this article, the authors present an overview of the basic principles of energy-loss spectroscopy, including the use of the Wien filter, and the analysis of the inner-shell of the detector.
Abstract: 1. An Introduction to Electron Energy-Loss Spectroscopy.- 1.1 Interaction of Fast Electrons with a Solid.- 1.2. The Electron Energy-Loss Spectrum.- 1.3. The Development of Experimental Techniques.- 1.4. Comparison of Analytical Methods.- 1.4.1. Ion-Beam Methods.- 1.4.2. Incident Photons.- 1.4.3. Electron-Beam Techniques.- 1.5. Further Reading.- 2. Instrumentation for Energy-Loss Spectroscopy.- 2.1. Energy-Analyzing and Energy-Selecting Systems.- 2.1.1. The Magnetic-Prism Spectrometer.- 2.1.2. Energy-Selecting Magnetic-Prism Devices.- 2.1.3. The Wien Filter.- 2.1.4. Cylindrical-Lens Analyzers.- 2.1.5. Retarding-Field Analyzers.- 2.1.6. Electron Monochromators.- 2.2. The Magnetic-Prism Spectrometer.- 2.2.1. First-Order Properties.- 2.2.2. Higher-Order Focusing.- 2.2.3. Design of an Aberration-Corrected Spectrometer.- 2.2.4. Practical Considerations.- 2.2.5. Alignment and Adjustment of the Spectrometer.- 2.3. The Use of Prespectrometer Lenses.- 2.3.1. Basic Principles.- 2.3.2. CTEM with Projector Lens On.- 2.3.3. CTEM with Projector Lens Off.- 2.3.4. Spectrometer-Specimen Coupling in a High-Resolution STEM.- 2.4. Recording the Energy-Loss Spectrum.- 2.4.1. Serial Acquisition.- 2.4.2. Electron Detectors for Serial Recording.- 2.4.3. Scanning the Energy-Loss Spectrum.- 2.4.4. Signal Processing and Storage.- 2.4.5. Noise Performance of a Serial Detector.- 2.4.6. Parallel-Recording Detectors.- 2.4.7. Direct Exposure of a Diode-Array Detector.- 2.4.8. Indirect Exposure of a Diode Array.- 2.4.9. Removal of Diode-Array Artifacts.- 2.5. Energy-Filtered Imaging.- 2.5.1. Elemental Mapping.- 2.5.2. Z-Contrast Imaging.- 3. Electron Scattering Theory.- 3.1. Elastic Scattering.- 3.1.1. General Formulas.- 3.1.2. Atomic Models.- 3.1.3. Diffraction Effects.- 3.1.4. Electron Channeling.- 3.1.5. Phonon Scattering.- 3.2. Inelastic Scattering.- 3.2.1. Atomic Models.- 3.2.2. Bethe Theory.- 3.2.3. Dielectric Formulation.- 3.2.4. Solid-State Effects.- 3.3. Excitation of Outer-Shell Electrons.- 3.3.1. Volume Plasmons.- 3.3.2. Single-Electron Excitation.- 3.3.3. Excitons.- 3.3.4. Radiation Losses.- 3.3.5. Surface Plasmons.- 3.3.6. Single, Plural, and Multiple Scattering.- 3.4. Inner-Shell Excitation.- 3.4.1. Generalized Oscillator Strength.- 3.4.2. Kinematics of Scattering.- 3.4.3. Ionization Cross Sections.- 3.5. The Spectral Background to Inner-Shell Edges.- 3.6. The Structure of Inner-Shell Edges.- 3.6.1. Basic Edge Shapes.- 3.6.2. Chemical Shifts in Threshold Energy.- 3.6.3. Near-Edge Fine Structure (ELNES).- 3.6.4. Extended Energy-Loss Fine Structure (EXELFS).- 4. Quantitative Analysis of the Energy-Loss Spectrum.- 4.1. Removal of Plural Scattering from the Low-Loss Region.- 4.1.1. Fourier-Log Deconvolution.- 4.1.2. Approximate Methods.- 4.1.3. Angular-Dependent Deconvolution.- 4.2. Kramers-Kronig Analysis.- 4.3. Removal of Plural Scattering from Inner-Shell Edges.- 4.3.1. Fourier-Log Deconvolution.- 4.3.2. Fourier-Ratio Method.- 4.3.3. Van Cittert'1. An Introduction to Electron Energy-Loss Spectroscopy.- 1.1 Interaction of Fast Electrons with a Solid.- 1.2. The Electron Energy-Loss Spectrum.- 1.3. The Development of Experimental Techniques.- 1.4. Comparison of Analytical Methods.- 1.4.1. Ion-Beam Methods.- 1.4.2. Incident Photons.- 1.4.3. Electron-Beam Techniques.- 1.5. Further Reading.- 2. Instrumentation for Energy-Loss Spectroscopy.- 2.1. Energy-Analyzing and Energy-Selecting Systems.- 2.1.1. The Magnetic-Prism Spectrometer.- 2.1.2. Energy-Selecting Magnetic-Prism Devices.- 2.1.3. The Wien Filter.- 2.1.4. Cylindrical-Lens Analyzers.- 2.1.5. Retarding-Field Analyzers.- 2.1.6. Electron Monochromators.- 2.2. The Magnetic-Prism Spectrometer.- 2.2.1. First-Order Properties.- 2.2.2. Higher-Order Focusing.- 2.2.3. Design of an Aberration-Corrected Spectrometer.- 2.2.4. Practical Considerations.- 2.2.5. Alignment and Adjustment of the Spectrometer.- 2.3. The Use of Prespectrometer Lenses.- 2.3.1. Basic Principles.- 2.3.2. CTEM with Projector Lens On.- 2.3.3. CTEM with Projector Lens Off.- 2.3.4. Spectrometer-Specimen Coupling in a High-Resolution STEM.- 2.4. Recording the Energy-Loss Spectrum.- 2.4.1. Serial Acquisition.- 2.4.2. Electron Detectors for Serial Recording.- 2.4.3. Scanning the Energy-Loss Spectrum.- 2.4.4. Signal Processing and Storage.- 2.4.5. Noise Performance of a Serial Detector.- 2.4.6. Parallel-Recording Detectors.- 2.4.7. Direct Exposure of a Diode-Array Detector.- 2.4.8. Indirect Exposure of a Diode Array.- 2.4.9. Removal of Diode-Array Artifacts.- 2.5. Energy-Filtered Imaging.- 2.5.1. Elemental Mapping.- 2.5.2. Z-Contrast Imaging.- 3. Electron Scattering Theory.- 3.1. Elastic Scattering.- 3.1.1. General Formulas.- 3.1.2. Atomic Models.- 3.1.3. Diffraction Effects.- 3.1.4. Electron Channeling.- 3.1.5. Phonon Scattering.- 3.2. Inelastic Scattering.- 3.2.1. Atomic Models.- 3.2.2. Bethe Theory.- 3.2.3. Dielectric Formulation.- 3.2.4. Solid-State Effects.- 3.3. Excitation of Outer-Shell Electrons.- 3.3.1. Volume Plasmons.- 3.3.2. Single-Electron Excitation.- 3.3.3. Excitons.- 3.3.4. Radiation Losses.- 3.3.5. Surface Plasmons.- 3.3.6. Single, Plural, and Multiple Scattering.- 3.4. Inner-Shell Excitation.- 3.4.1. Generalized Oscillator Strength.- 3.4.2. Kinematics of Scattering.- 3.4.3. Ionization Cross Sections.- 3.5. The Spectral Background to Inner-Shell Edges.- 3.6. The Structure of Inner-Shell Edges.- 3.6.1. Basic Edge Shapes.- 3.6.2. Chemical Shifts in Threshold Energy.- 3.6.3. Near-Edge Fine Structure (ELNES).- 3.6.4. Extended Energy-Loss Fine Structure (EXELFS).- 4. Quantitative Analysis of the Energy-Loss Spectrum.- 4.1. Removal of Plural Scattering from the Low-Loss Region.- 4.1.1. Fourier-Log Deconvolution.- 4.1.2. Approximate Methods.- 4.1.3. Angular-Dependent Deconvolution.- 4.2. Kramers-Kronig Analysis.- 4.3. Removal of Plural Scattering from Inner-Shell Edges.- 4.3.1. Fourier-Log Deconvolution.- 4.3.2. Fourier-Ratio Method.- 4.3.3. Van Cittert's Method.- 4.3.4. Effect of a Collection Aperture.- 4.4. Background Fitting to Ionization Edges.- 4.4.1. Energy Dependence of the Background.- 4.4.2. Background-Fitting Procedures.- 4.4.3. Background-Subtraction Errors.- 4.5. Elemental Analysis Using Inner-Shell Edges.- 4.5.1. Basic Formulas.- 4.5.2. Correction for Incident-Beam Convergence.- 4.5.3. Effect of Sample Orientation.- 4.5.4. Effect of Specimen Thickness.- 4.5.5. Choice of Collection Angle.- 4.5.6. Choice of Integration and Fitting Regions.- 4.5.7. Microanalysis Software.- 4.5.8. Calculation of Partial Cross Sections.- 4.6. Analysis of Extended Energy-Loss Fine Structure.- 4.6.1. Spectrum Acquisition.- 4.6.2. Fourier-Transform Method of Data Analysis.- 4.6.3. Curve-Fitting Procedure.- 5. Applications of Energy-Loss Spectroscopy.- 5.1. Measurement of Specimen Thickness.- 5.1.1. Measurement of Absolute Thickness.- 5.1.2. Sum-Rule Methods.- 5.2. Low-Loss Spectroscopy.- 5.2.1. Phase Identification.- 5.2.2. Measurement of Alloy Composition.- 5.2.3. Detection of Hydrogen and Helium.- 5.2.4. Zero-Loss Images.- 5.2.5. Z-contrast Images.- 5.2.6. Plasmon-Loss Images.- 5.3. Core-Loss Microanalysis.- 5.3.1. Choice of Specimen Thickness and Incident Energy.- 5.3.2. Specimen Preparation.- 5.3.3. Elemental Detection and Mapping.- 5.3.4. Quantitative Microanalysis.- 5.3.5. Measurement and Control of Radiation Damage.- 5.4. Spatial Resolution and Elemental Detection Limits.- 5.4.1. Electron-Optical Considerations.- 5.4.2. Loss of Resolution due to Electron Scattering.- 5.4.3. Statistical Limitations.- 5.4.4. Localization of Inelastic Scattering.- 5.5. Structural Information from EELS.- 5.5.1. Low-Loss Fine Structure.- 5.5.2. Orientation Dependence of Core-Loss Edges.- 5.5.3. Core-Loss Diffraction Patterns.- 5.5.4. Near-Edge Fine Structure.- 5.5.5. Extended Fine Structure.- 5.5.6. Electron-Compton Measurements.- Appendix A. Relativistic Bethe Theory.- Appendix B. FORTRAN Programs.- B.3. Incident-Convergence Correction.- B.4. Fourier-Log Deconvolution.- B.5. Kramers-Kronig Transformation.- Appendix C. Plasmon Energies of Some Elements and Compounds.- Appendix D. Inner-Shell Binding Energies and Edge Shapes.- Appendix E. Electron Wavelengths and Relativistic Factors Fundamental Constants.- References.

3,732 citations

Journal ArticleDOI
14 May 2004-Science
TL;DR: X-ray absorption spectroscopy and x-ray Raman scattering were used to probe the molecular arrangement in the first coordination shell of liquid water and set a strong limit for possible local structure distributions in liquid water.
Abstract: X-ray absorption spectroscopy and x-ray Raman scattering were used to probe the molecular arrangement in the first coordination shell of liquid water. The local structure is characterized by comparison with bulk and surface of ordinary hexagonal ice Ih and with calculated spectra. Most molecules in liquid water are in two hydrogen– bonded configurations with one strong donor and one strong acceptor hydrogen bond in contrast to the four hydrogen– bonded tetrahedral structure in ice. Upon heating from 25°C to 90°C, 5 to 10% of the molecules change from tetrahedral environments to two hydrogen– bonded configurations. Our findings are consistent with neutron and x-ray diffraction data, and combining the results sets a strong limit for possible local structure distributions in liquid water. Serious discrepancies with structures based on current molecular dynamics simulations are observed.

1,278 citations


Additional excerpts

  • ...…2012; Nyrow et al., 2014a,b; Tse et al., 2014; Pascal et al., 2014; Galambosi et al., 2006; Conrad et al., 2009; Moretti Sala et al., 2014), liquids (Wernet et al., 2004; Pylkkänen et al., 2011; Sahle et al., 2013, 2016a; Juurinen et al., 2013, 2014; Niskanen et al., 2015) and gases (Sakko et…...

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Journal ArticleDOI
X. Llopart1, Rafael Ballabriga1, Michael Campbell1, Lukas Tlustos1, W. Wong1 
TL;DR: In this paper, the authors proposed a novel approach for the readout of a TPC at the future linear collider is to use a CMOS pixel detector combined with some kind of gas gain grid.
Abstract: A novel approach for the readout of a TPC at the future linear collider is to use a CMOS pixel detector combined with some kind of gas gain grid. A first test using the photon counting chip Medipix2 with GEM or Micromegas demonstrated the feasibility of such an approach. Although this experiment demonstrated that single primary electrons could be detected the chip did not provide information on the arrival time of the electron in the sensitive gas volume nor did it give any indication of the quantity of charge detected. The Timepix chip uses an external clock with a frequency of up to 100 MHz as a time reference. Each pixel contains a preamplifier, a discriminator with hysteresis and 4-bit DAC for threshold adjustment, synchronization logic and a 14-bit counter with overflow control. Moreover, each pixel can be independently configured in one of four different modes: masked mode: pixel is off, counting mode: 1-count for each signal over threshold, TOT mode: the counter is incremented continuously as long as the signal is above threshold, and arrival time mode: the counter is incremented continuously from the time the first hit arrives until the end of the shutter. The chip resembles very much the Medipix2 chip physically and can be readout using slightly modified versions of the various existing systems. This paper presents the main features of the new design, electrical measurements and some first images.

1,004 citations


"A large-solid-angle X-ray Raman sca..." refers methods in this paper

  • ...At the exit of the vacuum chambers, a single-chip Maxipix (Ponchut et al., 2011) detector head implementing a Timepix readout chip (Llopart et al., 2007) is mounted as close as possible to the sample position in order to allow the spectrometer to operate in a near-backscattering geometry....

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Journal ArticleDOI
TL;DR: A new development extending dynamical theory to include any small distortion inside the crystal is outlined by Takagi as discussed by the authors, which is known as dynamical perturbation theory (DTP).
Abstract: A new development extending dynamical theory to include any small distortion inside the crystal is outlined by Takagi.

616 citations


"A large-solid-angle X-ray Raman sca..." refers methods in this paper

  • ...Complete elimination of this angular compression would lead to an energy resolution of the analyzer crystals as described by the theory of Takagi and Taupin (Takagi, 1962; Taupin, 1964)....

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Journal ArticleDOI
17 Oct 2003-Science
TL;DR: The x-ray diffraction pattern of the high-pressure form is consistent with a distorted graphite structure in which bridging carbon atoms between graphite layers pair and form σ-bonds, whereas the nonbridgingcarbon atoms remain unpaired with π-bond.
Abstract: Compressed under ambient temperature, graphite undergoes a transition at ∼17 gigapascals. The near K-edge spectroscopy of carbon using synchrotron x-ray inelastic scattering reveals that half of the π-bonds between graphite layers convert to σ-bonds, whereas the other half remain as π-bonds in the high-pressure form. The x-ray diffraction pattern of the high-pressure form is consistent with a distorted graphite structure in which bridging carbon atoms between graphite layers pair and form σ-bonds, whereas the nonbridging carbon atoms remain unpaired with π-bonds. The high-pressure form is superhard, capable of indenting cubic-diamond single crystals.

566 citations


"A large-solid-angle X-ray Raman sca..." refers background in this paper

  • ...…core edges under extreme ISSN 1600-5775 # 2017 International Union of Crystallography pressure and temperature conditions (Sahle et al., 2013; Mao et al., 2003; Lee et al., 2008; Rueff & Shukla, 2010; Tse et al., 2011; Shieh et al., 2013; Ding et al., 2014), follow chemical reactions in situ…...

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