Abstract
The enhancement of a cryogenic radio frequency 22 pole trap instrument by the addition of ring electrodes is presented in detail. The ring electrodes tightly surround the poles and only a fraction of the applied electric potential penetrates to the trap axis, facilitating the fine control of slow cold ions. A precise computational model, describing the effective mechanical potential created by the applied static and rf fields, governing the ion behaviour, is employed to demonstrate and understand the operation of our setup. The use of ring electrodes for improved extraction of cold stored ions is shown. Variable trapping potentials, placed on one ring electrode, can be used to control the evaporation of only those ions from the trap, whose kinetic energy exceeds the barrier. This ring electrode trapping opens new possibilities to study processes of minimal kinetic energy release, e. g. spin exchange. We propose a robust modified method for the determination of temperature dependent ion molecule reaction rates, resistant to effects caused by neutral gas freezing and demonstrate it on the reaction of with . Finally, the use of a supercontinuum laser for quick localisation of spectroscopic bands is examined on the Meinel system.
1. Introduction
The 22 pole radio frequency (rf) ion trap was pioneered by Dieter Gerlich more than 30 years ago [Citation1] as a successor to lower order multipoles, i.e., quadrupoles and octopoles [Citation2]. circular rods (poles) of diameter d, easy to manufacture and position, are placed on a circle with inscribed radius . These 3 parameters (, and d) are in a first approximation chosen so that the ring circular surface best approximates the curvature of the hyperbolic potential. For and , the magic number ‘22’ is born: 2n = 22. The use of non-ideal poles and geometries, greatly facilitating the physical manufacturing of the device, necessarily leads to perturbations in the ideal field. Fortunately, these perturbations are mostly not relevant for particle trapping. This fact, together with the lack of need for bulky and expensive magnets, lead to the wide adoption of radio frequency traps with many different geometries, from simple linear multipoles, e.g. quadrupole [Citation3–5], hexapole [Citation6], octopole [Citation7,Citation8], 16 pole [Citation9], 22 pole [Citation10–18], ring electrode traps (stacked ring electrodes) [Citation19,Citation20], quadrupole ion traps (3 dimensional quadrupole, QIT) [Citation21–23] to geometries where thin wire is used to approximate the desired electrode shape [Citation24,Citation25].
The main advantage of the 22 pole trap geometry is provided by the high number of poles, leading to an almost field free region and sharp steep barriers on the sides of the trap approximating a square box potential. The high number of poles also absorbs some small manufacturing imperfections as demonstrated by ions still remaining trapped in a 22 pole trap exhibiting 10 potential minima instead of an ideally predicted flat minimum along the axis [Citation26] (for symmetry breaking in multipoles see [Citation27]). In reality, even the electrostatic potentials at the ends of the axially symmetric trap (used to reflect the ions in the axial direction) do affect the potential in the middle of the trap [Citation3,Citation28], creating an off-axis potential minimum. The effect of these divergences from the ideal potentials become more and more pronounced as the ion temperature (its kinetic energy) is decreased to cryogenic temperatures (ca. or and lower) using an active form of cooling. In this work, we exclusively focus on buffer gas cooling, i.e., the use of collisions of ions and a cold neutral gas (usually ). The neutrals are thermalised to the temperature of the inside wall of the trap, as in molecular regime, the mean free path is greater than the dimensions of the trap, and are not affected by the rf fields. The ions, on the contrary, can gain kinetic energy from the rf, which can lead to situations where further decrease of the trap body temperature, i.e. of the neutral gas temperature, does not lead to a decrease of the ion temperature, an effect often described as parasitic heating ().
The temperature of the ions in the trap can be determined experimentally using chemical probing [Citation29], using doppler broadening [Citation30–32], from the rovibrational band profile [Citation17,Citation33], from hot bands in the electronic spectra [Citation34], using Time-of-Flight (ToF) [Citation35], or evaporative ion losses [Citation36]. Numerical simulations of kinetic ion temperature were used to understand the discrepancy between the ion temperature and the trap temperature in a 22 pole trap [Citation37] and to compare the heating effect in a 16 pole and 16 wire pole [Citation38]. The heating effects may also be taken advantage of, e.g. a QIT where a low externally induced resonant frequency excitation is used to eject specific m/q ions based on their secular motion [Citation39].
The potential inside a multipole can also be influenced by surrounding the multipole with a ring electrode. Due to the shielding provided by the multipole rods themselves, only a fraction of the applied voltage penetrates to the multipole axis [Citation1,Citation28]. Ring electrodes have been used in guided ion beam (GIB) experiments [Citation40,Citation41], as well as in an octopole trap [Citation8]. Ring electrodes on a 22 pole trap were studied in Dieter Gerlich's group using a rough numerical model (finite difference methods) and the barrier height was calibrated using partial reflection of ions stored in a packet (pulse) on the ring electrode [Citation42]. Furthermore, Richthofen et al. [Citation43] used ring electrodes to trap the ions and resonantly excite specific m/q species. The addition of ring electrodes provides finer access to the trap volume, e.g. to the trap centre, which is only slightly affected by the input/output electrodes, opens the possibility to form barriers inside the trap, i.e., two (or more) separate traps adjacent to each other, as well as an option to compensate small patch electric fields. Further, the fine tuning of the potential can be used to influence the ions depending on the energy, e.g. leak out of ions with excess kinetic energy. The degree of control achieved with this configuration, where ring electrodes act only by penetration, is hard to replicate with a ring electrode trap (e.g. [Citation19]). In the latter case, a very precise determination of the electric potential at the electrode surface would be required due to the direct exposure of the ring electrodes to the trap volume.
Ion traps, as demonstrated by all the aforementioned setups, are an extraordinarily versatile tool. Their application ranges from fundamental physics through physical chemistry up to molecular biology. Of particular interest for us is their application to laboratory astrochemistry.
Interstellar clouds are cold (10–100 K) and tenuous (– molecules per ) and, in less dense regions, are being impinged by UV photons from the interstellar radiation field [Citation44]. Despite these harsh conditions, interstellar clouds are filled with molecules [Citation45] thanks to the active chemistry initiated by ion-molecule reactions [Citation46,Citation47]. Measuring the rates of ion-molecule reactions is crucial for astrochemical models (e.g. [Citation48,Citation49]), which are used to predict and interpret observations of interstellar molecules, important diagnostic tools for the chemical and physical composition of interstellar clouds, where stars like our Sun and planets like our Earth form. The low particle number densities and cold environments to simulate make ion traps an excellent tool for laboratory studies of these astrochemical processes.
In this paper, we present a new experimental cryogenic 22 pole rf trap setup Cold CAS Ion Trap (CCIT) at The Center for Astrochemical Studies (CAS) at the Max Planck Institute for Extraterrestrial Physics, which is specifically designed to take advantage of the coupling of ring electrodes to a multipole trap, and its application to the study of astrochemical processes such as those occurring in interstellar clouds.
2. Experimental
2.1. Experimental setup
The block diagram of the experimental setup can be seen in Figure panel (a). The ions follow a path from the top left to bottom right of the diagram accomplished exclusively through the use of electric fields. All the measurements proceed in a cyclic manner with periods in multiples of . Synchronisation is provided by computer pre-generated signals with a resolution of .
The Gerlich type Storage Ion Source (SIS) [Citation1] is used to produce ions. In this type of source, electron bombardment of a precursor gas continuously leaked in the source produces ions inside a cavity of stacked electrodes with an applied rf field facilitating the ion storage. The ions are accumulated in the source and are typically extracted only for tens of ms per cycle, thus the storage function effectively increases the ion yield. Moreover, the produced ions can undergo reactive collisions with neutrals present in the precursor gas, allowing us to form ions not directly created by electron bombardment, as well as non reactive collisions leading to the internal relaxation of molecular ions. We typically produce a wide variety of ions in the SIS and use a source quadrupole (1. QP) to filter only the mass of the ion of interest. After the 1. QP the ions are refocused and bent to the trap axis in the electrostatic bender (B.).
The 22 pole trap (22 pt) (see Figure panel (b)) is made out of stainless steel rods on an inscribed radius of . The rods are held in sapphire rings and every other is electrically connected to either of the outputs of the rf generator ( or ) respectively at both ends. Input (SE) and output (SA) electrodes are inserted into the trap, ring electrodes – surround the trap rods. The trap is mounted on top of a RDK-101E cryocooler (Sumitomo), and an additional heating element HTR-50 (LakeShore) allows us to regulate the temperature down to . Silicon diodes DT-670C-CU (LakeShore) are used to measure the temperature. The neutral gas can be administered to the trap through two independent lines, allowing either continuous injection or a short pulse using a custom piezo-element actuated valve located inside the vacuum chamber close to the thermal shield of the trap unit. The pressure in the 22 pole trap vacuum vessel is measured by a Bayard-Alpert ionisation gauge AIG17G (Arun Microelectronics) which is calibrated by a capacitance manometer CMR 375 (Pfeiffer), directly connected to the trap volume and held at room temperature. Thermal transpiration is taken into account.
The ions leaving the trap are mass selected in the product quadrupole (2. QP), comprising a TSQ 7000 hyperquad (Finnigan MAT) driven by QMH 400-5 (Pfeiffer) electronics customised for the particular capacitive load of the QP rod system, and subsequently detected in the corresponding TSQ 7000 type detector. The system consists of a conversion dynode (knob – K.) held at 15 kV producing secondary particles (cations, anions, electrons, neutrals) upon incoming ion impact. In the positive ion mode, the dynode is held at and the secondary particles are anions and electrons. When in negative ion mode, the dynode is held at and the secondary particles are positive ions. Secondary particles are detected in a channel electron multiplier (CEM, Photonis 5903 or DeTech 2312), rather than converted to photons as in a typical Daly type detector [Citation50]. The CEM is used in counting mode and the output signal is discriminated using a model 6908 (Phillips Scientific) discriminator, or directly in the multi-channel scaler (MCS) PMS-400A (Becker & Hickl).
A standard experiment sequence consists of ion production/ion trap filling, storage with exposition (ions exposed to photons, neutral reactant, etc.), and product analysis/detection. The cryostat operates with a period and the experiment is in phase with the cryostat. Additionally, ring electrodes, 22 pole rf amplitude, and MCS can be controlled during the cycle in order to acquire particular data.
2.2. Potentials in a trap with rings
Numerical simulations of the potential generated inside the trap are a useful tool for experimental optimisation. They have been employed for this purpose by several groups (see for instance [Citation26,Citation28,Citation38,Citation51,Citation52]), either through the use of commercial software like SIMION [Citation53], or open source libraries. Here, we use the boundary element method (BEM), implemented through the Python library bempp-cl [Citation54,Citation55], to calculate the electrostatic potentials generated by the different trap electrodes. BEM calculations avoid the need for a spatial grid in which the solution is calculated, allowing instead the evaluation of the potential at any point in space, and the use of a Python library facilitates the analysis of the computed results and the application of the calculated potential in further simulations. The solution of the Laplace equation is computed using the fast multipole method [Citation56], which simplifies long distance interactions between discrete elements lowering the memory requirements for the simulation. The boundary conditions are imposed on a 3D mesh generated from a 3D CAD model of the 22 pole trap using the Salome platform [Citation57].
Given a general electric potential inside the trap with rf and static components (1) (1) where is the rf angular frequency, the average force acting on an ion with mass m and charge q can be derived from the effective mechanical potential [Citation1] (2) (2) where is the amplitude of the rf electric field, obtained as (3) (3) This approach requires a separation of the ion motion into a slow drift term, controlled by the effective potential, and a rapid oscillatory motion due to the rf field. To test the validity of this approximation, the adiabaticity parameter η can be defined as (4) (4) A value of generally guarantees that the approximation holds.
An analytical solution exists for the case of an ideal multipole of order n. The effective potential and adiabaticity parameter in plane polar coordinates then take the form (5) (5) (6) (6) where is the potential applied to the electrodes, and is the inscribed radius.
The computational method described above has been used to obtain the effective potential inside the trap for different experimental configurations, such as the one depicted in panel (c) of Figure . In this particular case, the rf field is generated with the 22 poles and the axial trapping of the ions is performed by the end electrode at the entrance of the trap, SE, and the fourth ring electrode . Since ring electrodes only change the trap potential by penetration, the 100 V voltage applied to the electrode only results in a barrier of tens of meV inside the trap (see below).
A detailed look at the radial profile of the potential inside the trap is included in Figure . The potential generated by just the electrode at different positions, as well as the effective potential and adiabaticity parameters, are shown. The analytical values from Equations (Equation5(5) (5) ) and (Equation6(6) (6) ) are also plotted for comparison. It can be seen that the radial profile of the potential changes depending on the position z along the axis of the trap. At the position of the ring electrode (z = 7.25 mm), the potential barrier has its minimum at the axis, and gradually increases with the radius. At z = 10.5 mm (between the fourth and fifth ring electrodes), the shape changes and now the potential is almost constant from the axis up to mm, with a slight drop between 3 and 4 mm. In both cases, differences in the potential towards a rod or the gap between them are only significant for r>4 mm, with both potentials quickly diverging towards 0 and ∼100 eV respectively. The potential generated by quickly decays away from the ring electrode, and at z = −5.05 mm, where the minimum potential from Figure (c) is found, its value is ∼1 meV at the axis, decreasing towards the poles. Because of this radial shape, which is similar to the one generated by the end electrodes [Citation28], the calculated effective potential for the complete configuration has its minimum ∼3 mm off the axis and towards the rods. The calculated effective potential matches the analytical expression from Equation (Equation5(5) (5) ) closer to the rods, where the effect of the multipole field surpasses that of the end and ring electrodes. A similar result is obtained for the adiabaticity parameter from Equation (Equation6(6) (6) ).
The combination of potentials generated by ring and end electrodes should be carefully undertaken, since they can interfere with one another as noted by Fanghnel et al. [Citation28]. Panel (a) of Figure shows the axial profile of the electrostatic potentials generated by the and ring electrodes and the output electrode SA. As can be noted, the potentials of and SA clearly overlap with each other, so combinations of and SA should be preferred. A useful configuration for ion energy sampling (see Discussion 4) is to set a potential barrier with and extract the ions that go over it using a negative potential in SA. The axial profile of the combined potential generated for that configuration is shown in Figure (b), normalised to the potential applied to the electrode. The curves for the different voltages do not overlap, which means that the influence of SA distorts the potential barrier somewhat so that its height is no longer proportional to the applied voltage. Above 40 V, the curves start to get closer as the contribution of SA becomes relatively smaller, and eventually converge to a corresponding penetration of .
2.3. Applications of ring electrodes
The ring electrodes offer fine tuning of the ion conditions inside the ion trap. Applying the right potential, the position of the ion cloud can be influenced or ions can be directly trapped using only ring electrodes [Citation43]. The ion cloud can also be pushed out of the trap while emptying the trap as shown in Figure . In some experimental conditions (trap temperature , high neutral number densities) it may become difficult to empty the trap only by using the end electrodes SE, SA. We believe this is mainly caused by the fact that the induced emptying axial potential (dark blue in Figure ) is monotonously decreasing, albeit very slowly, due to shielding of the SA electrode by the trap rods themselves. The emptying potential can be made an order of magnitude steeper just by using a tens of volts lower potential (in the case of cations) on every consecutive ring electrode (see divider in Figure ), effectively overcoming possible patch potentials on the trap rods as well as potentials present due to manufacturing imperfections.
3. Results
3.1. evaporation from the trap
The low potential barrier created by a ring electrode can be used to examine processes in which the energy of the trapped ions plays a significant role. In this experiment we intentionally keep the barrier formed by ring electrode as low as possible in order to quantify the escape of ions in different conditions. ions are first trapped and cooled down using initial pulse and SE, SA electrodes. Subsequently, after the He buffer gas is pumped away, the SA barrier is removed and only the electrode is able to reflect the ions back to the trap. Ions that are not reflected pass over the barrier and are detected (see Figure (a)). This ‘evaporation’ process is of exponential nature over several orders of magnitude and can be represented by a single number, the escape rate r. We plot the escape rate r at various number densities, neutral gases (, ) and electrode potential in Figure (b). It is immediately clear, that r is linear with number density, implying a binary process and can be characterised by an apparent collision rate (Figure (c)).
Comparing the (at ) to the Langevin collisional rate for reveals that approximately only of collisions lead to evaporation (for implying cca. evaporation). The decreases faster for than for with increasing voltage (Figure (c)), i.e., collisions with are clearly different than collisions with . On top of the apparent difference in the target mass (factor of 2), one has to also consider that the collision with is completely non-reactive as is the case for a collision with para-. Since normal room temperature is used, the corresponding 3:1 ortho to para ratio in is assumed. In the case of a collision with ortho-, the spin conversion reaction (7) (7) occurs with a predicted reaction rate [Citation58–61] around and releases [Citation62] of kinetic energy, which is mostly carried away in the lighter ion () due to conservation of momentum. This additional energy greatly exceeds the thermal energy ( at ) available in non-reactive collisions and contradicts our initial expectation, where would have been responsible for a stronger escape effect.
To our knowledge, this is the first attempt to characterise the reaction Equation7(7) (7) , where the reactants and products do not change their m/q ratios and the reaction leads only to a minimal energy release. Our initial assumption, that the ion will be less affected by the collision with neutral atoms, than with the molecules, where the reaction is possible was found to be false (see Figure (b)). We presume, that within the current experimental framework, the reaction can only be studied by using highly enriched para- as the reference measurement and attribute the reaction Equation7(7) (7) to the difference to the measurement with normal- (contains 3:1 ortho:para ) instead of directly using normal-.
3.2. Reaction rates
All ion traps, irrespective of being based on rf or magnetic fields, offer considerable trapping times making them prefered tools for ion-neutral interaction studies, from fast near Langevin processes, typically , to slow radiative attachment, where the reaction rate coefficient is in the order of [Citation63].
The reaction rate coefficient determination procedure, illustrated on the reaction (8) (8) can be seen on the inset of Figure . The ion trap is filled with the reactant ion , while a known pressure of neutral is maintained inside the trap. The product of the reaction, , accumulates in the trap as the number of reactant ions decreases (neutral product can not be stored/detected).
This binary process can be described as exponential loss of the primary ion . Every point in the inset of Figure was recorded 10 times (see the error bars), the ‘ion signal’ (abscisa) is always reported in numbers per filling throughout the whole document. The reaction rate coefficient at this given temperature can simply be determined as the division of the least square (LS) fitted time constant and neutral number density. Usually, this procedure is repeated over decreasing temperature, as the cryostat is being cooled down. The whole process is usually repeated in order to bin or average the measured reaction coefficients and arrive at a more robust final result.
We want to report a different approach, usually only used to test the order of reaction, where the reaction rate is measured in a wide range of number densities of the neutral reactant at every temperature (Figure ). The slope of this dependence is the reaction rate coefficient k. The solution of this overdetermined system is best found using regression analysis in the form of a least squares fit. Contrary to the inset case, where the ordinate value (time) has negligible uncertainty, the pressure (or number density, etc.) can have considerable scatter, therefore, we investigated the use of LS methods taking both errors into consideration [Citation64]. Figure compares ordinary least squares (dashed line; number ‘N’; ignores the pressure uncertainty) and total least squares (full line; number ‘T’). Although the difference in the fitted slope k is within the fit uncertainty even for the measurement data set, where the pressure uncertainty is relatively high, we recommend the use of total LS for k determination. The method will provide more consistent results, especially in the case where the pressure uncertainty is not even over the measurement range.
The temperature dependent reaction rate coefficient of the reaction (9) (9) and reaction (Equation8(8) (8) ) is shown in Figure .
We confirm the increase of the reaction rate with decreasing temperature for the reaction of (and ), while providing more data points with superior statistical error that rather show a levelling-off at cryogenic temperatures below , in contrast with the results of Borodi et al. [Citation67]. We confirm that the reaction of (and ) is mostly constant from 15 to with essentially Langevin reaction rate coefficient (contrary to Richthofen et al. [Citation43], who report the reaction rate coefficient with higher, though still within their reported error margin).
The reported error bars always correspond to the standard deviation of the data fit. The main source of overall error is the density calibration uncertainty, which we estimate to be in the range 20–30. At the same time, the error of the relative difference between the measured rate coefficients is not affected by the density calibration uncertainty, and shall be close to the statistical one. We assume the ion temperature is very close to the temperature of the neutrals for and for the trap parameters employed, with low rf amplitudes and (Equation (Equation6(6) (6) )) [Citation31,Citation32].
3.3. Action spectroscopy
As in any other ion trapping experiment, the number density of ions in our setup is considerably lower than , enabling only the use of action type of spectroscopy methods, where the ‘change’ of the studied medium, rather than that of the absorbed/ emitted photons is observed. Action schemes from laser induced charge transfer LICT [Citation68] to pre-dissociation of weakly bound clusters, pioneered in the 1980s [Citation69], are possible.
We report the use of bright supercontinuum laser for overview action spectroscopy of , where charge transfer reaction (10) (10) proceeds predominantly for excited states, because of the endothermicity.
Light source is SuperK FIANIUM FIU-15 with high resolution bandpass filter LLTF CONTRAST (NKT Photonics) with spectral range 400–1000 nm (channel spectral bandwidth nm FWHM). A similar laser system has been used previously in tagging overview action spectroscopy of PAHs [Citation70], where many spectral features of complex molecule guarantee a dense spectrum. This is not the case for a diatomic molecule with only the lowest rotational states populated in our temperature range, implying a sparse spectrum. Figure shows the recorded spectra with better S/N ratio at higher trap temperature () and signal diminishing below . We expect this behaviour to be directly related to the temperature dependent state population and decreasing kinetic velocity Doppler line broadening. Unfortunately, no pre-dissociation spectroscopy ( tagging [Citation72]), nor laser induced inhibition of cluster growth (LIICG) [Citation73] attempts were successful.
For illustration, spectral power density inside our trap was close to , whereas Schlemmer et al. [Citation68] achieved around . The primary advantage of using supercontinuum sources in overview action spectroscopy is the high scanning speed, with the ability to acquire the presented spectral features in tens of minutes.
4. Discussions
We have shown the marginally improved method to investigate the temperature dependence of reaction rate coefficients in Section 3.2. The fundamental source of errors and experimental difficulties remains the control and determination of the neutral gas pressure (number density) present inside the trap. The interaction of the neutral species with the trap walls is particle as well as temperature dependent, most commonly observed as disappearance of the molecules, i.e., ‘freezing’. On one hand, to minimise this effect, we constructed our trap with walls just around the rods, minimising the trap volume/surface area (see Figure (b)). On the other hand, the trap construction required the use of electrically insulating material (ceramics) with unknown adsorption surface properties. In any case, the application of the method shown in Figure minimises the space for errors, as any discrepancy in the linearity of the data not only as a function of neutral number density, but inherently also as a function of trap temperature and deposition time (since measurements take several hours) is immediately seen and its cause can be investigated.
The use of ring electrodes to improve the extraction efficiency from the trap has been demonstrated in Figure and has been found more and more useful, as the mass of the ion increased (over ; , are virtually unaffected) at temperatures and higher neutral number densities (). It is intrinsically difficult to investigate the extraction efficiency in our setup, since the measured quantity is always a combination of extraction, focussing effects of all the ion optics and second quadrupole, and the dead time of the detector. Still, all these elements have to be optimised, on case by case basis, for the best extraction efficiency in order to increase the amount of acquired data per time. Nevertheless, the improved extraction in the case of the experiment, as shown in Figure (bottom panel), sped up data acquisition by more than an order of magnitude and undeniably reinforced the validity of data by decreasing the dependence of extraction efficiency on temperature. It is also important to note, that experiments where the trap temperature is not varied (e.g. virtually all the spectroscopy experiments), do not suffer from extraction efficiency issues by design, as it stays constant in the time frame of the signal acquisition.
The evaporation, as described in Section 3.1, depends on the neutral number density but also on the type of the neutral particle. Potentially, this fact may be further exploited as a sensitive number density (pressure) gauge and used to calibrate the number density in the trap, without the need for a calibration reaction, e.g. the calibration of a neutral molecular beam passing through the trap [Citation67].
On top of the evaporation, more generally, ring electrodes may also be used to analyse the ions in the trap, by configuring the field in a way such that only ions fulfilling predetermined conditions (i.e. kinetic energy) will pass the barrier. In this way the barrier height may be calibrated using ion beams of defined energy [Citation43]. Another possible application is recently introduced ‘leak-out spectroscopy’ scheme, where only ions affected by light can leak through the barrier [Citation74]. The potential barrier may also be used to detect the ions undergoing a collision (see Section (3.1)) or to characterise the energy distribution of ions inside the trap.
5. Conclusion
We present a 22 pole trap instrument equipped with five ring electrodes specifically designed to study ion-molecule interactions relevant for astrochemistry. Low temperature interaction with neutrals other than or (or generally at temperatures below ) remains challenging due to cryo-pumping (‘freeze out’). We outline a method to determine the temperature dependent reaction rate coefficient resilient to errors arising therefrom. We present a spectroscopic overview approach suitable for fast localisation of spectroscopic features based on a supercontinuum laser. We introduce a trap evaporation scheme usable to characterise processes involving spin change, releasing only minimal kinetic energy, while maintaining m/q composition of trapped particles. Further experimental and theoretical work is necessary in order to quantify the reaction rate of the process from the evaporation rate(s).
We present a detailed computational model used to obtain the effective potentials inside the trap as a function of voltages applied to all the relevant electrodes and explain how to obtain the desired field configuration for injection, trapping, evaporation, and improved extraction from the trap. The most important conclusion is the fact that the contributions from all the trap electrodes to the effective potential have to be considered simultaneously, i.e., one can not consider only the influence of ring electrode(s) while neglecting the end electrode(s), and that the barrier height has to be related to the real (non zero) potential minima inside the trap. We specifically abstain from any quantitative characterisation of ion energy as a function potential applied to any electrode and rather focus on relative measurements only (change of evaporation rate). The quantitative analysis and associated model, requiring dynamical ion trajectory simulations, will be published separately.
The ability to store ions unobstructed for long times emphasises the usefulness of cryogenic rf ion traps for the characterisation of ions through spectroscopy and studies of ion-molecule interactions using reaction kinetics.
Additional information
The raw experimental data and corresponding post-processing scripts can be downloaded at https://doi.org/10.5281/zenodo.7410333.
Acknowledgments
The completion of this work is dedicated to Prof. Dieter Gerlich, who started to build the setup with us in 2019 and continued the works until he passed away in the fall of 2020 (removed from the author list as requested by the editor on 2023-2-8). The authors gratefully acknowledge the work of the electrical and mechanical workshops and engineering departments of the Max Planck Institute for Extraterrestrial Physics. We thank Prof. Stephan Schlemmer for helpful discussions.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Additional information
Funding
References
- D. Gerlich, Adv. Chem. Phys.: State-Selected and State-to-State Ion-Molecule Reaction Dynamics, Vol. LXXXII, edited by C.-Y. Ng and M. Baer (Wiley, New York, 1992), pp. 1–176. doi:10.1002/9780470141397.ch1
- E. Teloy and D. Gerlich, Chem. Phys. 4, 417–427 (1974). doi:10.1016/0301-0104(74)85008-1
- S. Willitsch, Int. Rev. Phys. Chem. 31, 175–199 (2012). doi:10.1080/0144235X.2012.667221
- L.F. Tesler, A.P. Cismesia, M.R. Bell, L.S. Bailey and N.C. Polfer, J. Am. Soc. Mass. Spectrom. 29 (11), 2115–2124 (2018). doi:10.1007/s13361-018-2026-7
- C. Miossec, M. Hejduk, R. Pandey, N.J.A. Coughlan and B.R. Heazlewood, Rev. Sci. Instrum. 93 (3), 033201 (2022). doi:10.1063/5.0080458
- H. Kang, C. Jouvet, C. Dedonder-Lardeux, S. Martrenchard, C. Charrière, G. Grégoire, C. Desfrançois, J.P. Schermann, M. Barat and J.A. Fayeton, J. Chem. Phys. 122, 084307 (2005). doi:10.1063/1.1851503
- A. Terasaki, T. Majima and T. Kondow, J. Chem. Phys. 127, 231101 (2007). doi:10.1063/1.2822022
- P. Jusko, Š. Rouč ka, R. Plašil and J. Glosík, Int. J. Mass. Spectrom. 352, 19–28 (2013). doi:10.1016/j.ijms.2013.08.001
- K.R. Asmis, M. Brümmer, C. Kaposta, G. Santambrogio, G. von Helden, G. Meijer, K. Rademann and L. Wöste, Phys. Chem. Chem. Phys. 4 (7), 1101–1104 (2002). doi:10.1039/B111056J
- J.A. Stearns, S. Mercier, C. Seaiby, M. Guidi, O.V. Boyarkin and T.R. Rizzo, J. Am. Chem. Soc. 129 (38), 11814–11820 (2007). doi:10.1021/ja0736010
- A. Fujihara, H. Matsumoto, Y. Shibata, H. Ishikawa and K. Fuke, J. Phys. Chem. A. 112 (7), 1457–1463 (2008). doi:10.1021/jp709614e
- J. Mikosch, R. Otto, S. Trippel, C. Eichhorn, M. Weidemüller and R. Wester, J. Phys. Chem. A. 112 (42), 10448–10452 (2008). doi:10.1021/jp804655k
- D. Gerlich, P. Jusko, Š. Roučka, I. Zymak, R. Plašil and J. Glosík, Astrophys. J. 749, 22 (2012). doi:10.1088/0004-637X/749/1/22
- O. Asvany, S. Brünken, L. Kluge and S. Schlemmer, Appl. Phys. B. 114 (1-2), 203–211 (2014). doi:10.1007/s00340-013-5684-y
- A. Günther, P. Nieto, D. Müller, A. Sheldrick, D. Gerlich and O. Dopfer, J. Mol. Spectrosc. 332, 8–15 (2017). doi:10.1016/j.jms.2016.08.017
- S.S. Kumar, F. Grussie, Y.V. Suleimanov, H. Guo and H. Kreckel, Sci. Adv. 4, eaar3417 (2018). doi:10.1126/sciadv.aar3417
- P. Jusko, S. Brünken, O. Asvany, S. Thorwirth, A. Stoffels, L. van der Meer, G. Berden, B. Redlich, J. Oomens and S. Schlemmer, Faraday Discuss. 217, 172–202 (2019). doi:10.1039/C8FD00225H
- E.K. Campbell, Mol. Phys. 118, e1797918 (2020). doi:10.1080/00268976.2020.1797918
- A. Luca, S. Schlemmer, I. Čermák and D. Gerlich, Rev. Sci. Instrum. 72 (7), 2900–2908 (2001). doi:10.1063/1.1373666
- D.J. Goebbert, G. Meijer and K.R. Asmis, AIP. Conf. Proc. 1104, 22–29 (2009). doi:10.1063/1.3115605
- X.-B. Wang and L.-S. Wang, Rev. Sci. Instrum. 79 (7), 073108 (2008). doi:10.1063/1.2957610
- A.B. Wolk, C.M. Leavitt, E. Garand and M.A. Johnson, Acc. Chem. Res. 47 (1), 202–210 (2014). doi:10.1021/ar400125a
- G. Féraud, C. Dedonder, C. Jouvet, Y. Inokuchi, T. Haino, R. Sekiya and T. Ebata, J. Phys. Chem. Lett. 5, 1236–1240 (2014). doi:10.1021/jz500478w
- J. Jašík, J. Žabka, J. Roithová and D. Gerlich, Int. J. Mass. Spectrom. 354-355, 204–210 (2013). doi:10.1016/j.ijms.2013.06.007
- K. Geistlinger, M. Fischer, S. Spieler, L. Remmers, F. Duensing, F. Dahlmann, E. Endres and R. Wester, Rev. Sci. Instrum. 92 (2), 023204 (2021). doi: 10.1063/5.0040866
- R. Otto, P. Hlavenka, S. Trippel, J. Mikosch, K. Singer, M. Weidemüller and R. Wester, J. Phys. B. At. Mol. Opt. Phys. 42 (15), 154007 (2009). doi:10.1088/0953-4075/42/15/154007
- J. Pedregosa-Gutierrez, C. Champenois, M.R. Kamsap, G. Hagel, M. Houssin and M. Knoop, J. Mod. Opt. 65 (5-6), 529–537 (2018). doi:10.1080/09500340.2017.1408866
- S. Fanghnel, O. Asvany and S. Schlemmer, J. Mol. Spectrosc. 332, 124–133 (2017). doi:10.1016/j.jms.2016.12.003
- R. Plašil, I. Zymak, P. Jusko, D. Mulin, D. Gerlich and J. Glosík, Phil. Trans. R. Soc. A. 370 (1978), 5066–5073 (2012). doi:10.1098/rsta.2012.0098
- O. Asvany, O. Ricken, H.S.P. Müller, M.C. Wiedner, T.F. Giesen and S. Schlemmer, Phys. Rev. Lett. 100 (23), 233004 (2008). doi:10.1103/PhysRevLett.100.233004
- P. Jusko, O. Asvany, A.-C. Wallerstein, S. Brünken and S. Schlemmer, Phys. Rev. Lett. 112 (25), 253005 (2014). doi:10.1103/PhysRevLett.112.253005
- S. Brünken, L. Kluge, A. Stoffels, J. Pérez-Ríos and S. Schlemmer, J. Mol. Spectrosc. 332, 67–78 (2017). doi: 10.1016/j.jms.2016.10.018
- S.-i. Ishiuchi, H. Wako, D. Kato and M. Fujii, J. Mol. Spectrosc. 332, 45–51 (2017). doi:10.1016/j.jms.2016.10.011
- C.M. Choi, D.H. Choi, N.J. Kim and J. Heo, Int. J. Mass. Spectrom. 314, 18–21 (2012). doi:10.1016/j.ijms.2012.01.009
- M. Nötzold, S.Z. Hassan, J. Tauch, E. Endres, R. Wester and M. Weidemüller, Appl. Sci. 10 (15), 5264 (2020). doi:10.3390/app10155264
- O. Lakhmanskaya, T. Best, S. Kumar, E. Endres, D. Hauser, R. Otto, S. Eisenbach, A. von Zastrow and R. Wester, Int. J. Mass. Spectrom. 365-366, 281–286 (2014). doi:10.1016/j.ijms.2014.03.001
- O. Asvany and S. Schlemmer, Int. J. Mass. Spectrom. 279 (2–3), 147–155 (2009). doi:10.1016/j.ijms.2008.10.022
- G. Rajeevan, S. Mohandas and S.S. Kumar, Phys. Scr. 96 (12), 124001 (2021). doi:10.1088/1402-4896/ac1472
- H. Kang, G. Féraud, C. Dedonder-Lardeux and C. Jouvet, J. Phys. Chem. Lett. 5, 2760–2764 (2014). doi:10.1021/jz5012466
- S. Mark and D. Gerlich, Chem. Phys. 209, 235–257 (1996). doi:10.1016/0301-0104(96)00159-0
- I. Savić, S. Schlemmer and D. Gerlich, ChemPhysChem. 21 (13), 1429–1435 (2020). doi:10.1002/cphc.202000258
- E. Haufler, Niederenergetische Elektronen- und Protonen-Transfer Prozesse, PhD thesis (TU Chemnitz, 1996), https://nbn-resolving.org/urn:nbn:de:bsz:ch1-199700046.
- J.F. von Richthofen, Untersuchung der Bildung, des Isotopenaustausches und der Isomerisierung des Ionensystem HCO +/HOC +, PhD thesis (TU Chemnitz, 2002), https://nbn-resolving.org/urn:nbn:de:swb:ch1-200300302.
- S.W. Stahler and F. Palla, The Formation of Stars (Wiley, 2004).
- B.A. McGuire, Astrophys. J. Suppl. Ser. 259 (2), 30 (2022). doi: 10.3847/1538-4365/ac2a48
- E. Herbst and W. Klemperer, Astrophys. J. 185, 505–534 (1973). doi:10.1086/152436
- W.D. Watson and E.E. Salpeter, Astrophys. J. 175, 659 (1972). doi: 10.1086/151587
- V. Wakelam, J.-C. Loison, E. Herbst, B. Pavone, A. Bergeat, K. Béroff, M. Chabot, A. Faure, D. Galli, W.D. Geppert, D. Gerlich, P. Gratier, N. Harada, K.M. Hickson, P. Honvault, S.J. Klippenstein, S.D. Le Picard, G. Nyman, M. Ruaud, S. Schlemmer, I.R. Sims, D. Talbi, J. Tennyson and R. Wester, Astrophys. J. Suppl. Ser. 217 (2), 20 (2015). doi:10.1088/0067-0049/217/2/20
- O. Sipil, J. Harju, P. Caselli and S. Schlemmer, Astron. Astrophys. 581, A122 (2015). doi:10.1051/0004-6361/201526468
- N.R. Daly, Rev. Sci. Instrum. 31 (3), 264–267 (1960). doi: 10.1063/1.1716953
- B.E. Wilcox, C.L. Hendrickson and A.G. Marshall, J. Am. Soc. Mass. Spectrom. 13 (11), 1304–1312 (2002). doi:10.1016/S1044-0305(02)00622-0
- J.R. Gibson, K.G. Evans and S. Taylor, J. Mass. Spectrom. 45, 364–371 (2010). doi:10.1002/jms.1720
- SIMION, https://simion.com/.
- W. Śmigaj, T. Betcke, S. Arridge, J. Phillips and M. Schweiger, ACM Trans. Math. Softw. 41, 6:1–6:40 (2015). doi:10.1145/2590830
- T. Betcke and M.W. Scroggs, J. Open Source Softw. 6 (59), 2879 (2021). doi:10.21105/joss.02879
- L. Greengard and V. Rokhlin, J. Comput. Phys. 73, 325–348 (1987). doi:10.1016/0021-9991(87)90140-9
- Salome Platform, https://www.salome-platform.org/.
- D. Gerlich, J. Chem. Phys. 92, 2377–2388 (1990). doi: 10.1063/1.457980
- P. Honvault, M. Jorfi, T. González-Lezana, A. Faure and L. Pagani, Phys. Rev. Lett. 108 (10), 109903 (2012). doi:10.1103/PhysRevLett.108.109903
- T.P. Grozdanov and R. McCarroll, J. Phys. Chem. A. 116 (18), 4569–4577 (2012). doi:10.1021/jp210992g
- T. González-Lezana, P. Hily-Blant and A. Faure, J. Chem. Phys. 154, 054310 (2021). doi:10.1063/5.0039629
- M. Beyer, N. Hölsch, J. Hussels, C.-F. Cheng, E.J. Salumbides, K.S.E. Eikema, W. Ubachs, C. Jungen and F. Merkt, Phys. Rev. Lett. 123 (16), 163002 (2019). doi: 10.1103/PhysRevLett.123.163002
- D. Gerlich, R. Plašil, I. Zymak, M. Hejduk, P. Jusko, D. Mulin and J. Glosík, J. Phys. Chem. A. 117 (39), 10068–10075 (2013). doi:10.1021/jp400917v
- J. Tellinghuisen, Anal. Chem. 92, 10863–10871 (2020). doi: 10.1021/acs.analchem.0c02178
- G.B. Scott, D.A. Fairley, C.G. Freeman, M.J. McEwan, P. Spanel and D. Smith, J. Chem. Phys. 106, 3982–3987 (1997). doi:10.1063/1.473116
- C.G. Freeman, J.S. Knight, J.G. Love and M.J. McEwan, Int. J. Mass. Spectrom. Ion. Process. 80, 255–271 (1987). doi:10.1016/0168-1176(87)87034-9
- G. Borodi, A. Luca and D. Gerlich, Int. J. Mass. Spectrom. 280 (1-3), 218–225 (2009). doi:10.1016/j.ijms.2008.09.004
- S. Schlemmer, T. Kuhn, E. Lescop and D. Gerlich, Int. J. Mass. Spectrom. 185-187, 589–602 (1999). doi:10.1016/S1387-3806(98)14141-6
- M. Okumura, L.I. Yeh and Y.T. Lee, J. Chem. Phys. 83, 3705–3706 (1985). doi:10.1063/1.449127
- J. Roithová, J. Jašík, J.J. Del Pozo Mellado and D. Gerlich, Faraday Discuss. 217, 98–113 (2019). doi:10.1039/C8FD00196K
- W. Benesch, D. Rivers and J. Moore, J. Opt. Soc. Am. 70 (7), 792–799 (1980). doi: 10.1364/JOSA.70.000792
- M. Brümmer, C. Kaposta, G. Santambrogio and K.R. Asmis, J. Chem. Phys. 119, 12700–12703 (2003). doi:10.1063/1.1634254
- S. Chakrabarty, M. Holz, E.K. Campbell, A. Banerjee, D. Gerlich and J.P. Maier, J. Phys. Chem. Lett. 4, 4051–4054 (2013). doi:10.1021/jz402264n
- P.C. Schmid, O. Asvany, T. Salomon, S. Thorwirth and S. Schlemmer, J. Phys. Chem. A. 126 (43), 8111–8117 (2022). doi:10.1021/acs.jpca.2c05767