Time of flight SANS data Reduction (nothing really new here, but perhaps presented in unfamiliar ways)

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Time of flight AN data Reduction (nothing really new here, but perhaps presented in unfamiliar ways) Richard Heenan II Facility, Rutherford Appleton Laboratory richard.heenan@stfc.ac.uk AN2d Collimation L 1 2 to 12 m, ample to detector L 2 3.5 to 12 m, Q min ~ 0.0015 Å -1, λ 1.75 to 12.5 Å (12m) or 16.5 Å (4m) by time of flight, Q max ~ 2 Å -1 Five 2m long removable guides. Five aperture selectors. Rear Det, 4m II T-2 AN2d Σ/ Ω (cm -1 ) T-1 LOQ Front Det, 2.5m, 1.2m sideways ample position 19m from moderator, mezzanine 1m below beam height. Q (Å -1 ) Two 1m square detectors in a 13m long, 3.25m diameter vacuum tank. 1

We like to obtain absolute AN scattering probability, e.g. for dilute particle in a matrix: Σ( N. V Ω 2 2 2 F ( ( ρ ρ ) Ought to obtain the same result for mirror image systems, e.g. D particle in H solvent (low transmission, high incoherent background ) as for H particle in D solvent (high transmission, low background). P M Data reduction needs to work well over a wide range of wavelengths. Need to allow for strong scattering at the longest wavelengths a large fraction of the beam may be scattered. For this we need the scattering probability for our particles, in the absence of any other process that may be going on. ( i.e. ignoring background, wide angle scatter, adsorption and inelastic scattering - most of which we don t have a good theoretical description of.) Ideal AN, with a perfect detector: Detector Neutrons Wide Angle AN dark counts traight Adsorbed Background Inelastic Σ AN ( AN( Ω AN traight + Probability in the absence of any other process Counts ( Background( Inelastic( Dark( traight( traight + AN Note no transmission measurement is needed. Alas present detectors do not have the dynamic range and spatial uniformity required. 2

Real AN: M3 transmission detector M4 beam stop detector M2 incident beam monitor Wide Angle AN dark counts traight Beam stop Adsorbed Background Inelastic Monitors M2, M3 and M4 may not sample the entire beam, nor sample it uniformly. Even beam stop out transmissions may not fully sample the straight through beam (e.g. some of it may pass through a gap between gas tubes). For coherent AN signal: Σ( Counts( I0( Ω( R) t. T ( η( ω Incident flux: ( M ( I 0 η ( Wavelength λ is proportional to arrival time at detector. Need ratio of main detector efficiency compared to monitor. e.g. Remove beam stop and put a small hole A H at the sample to record: Rearranging: D( Σ( A I( Ω A t M C M H λ ) H H ( ( λ Q η( A η ( A M λ Q Proper statistics are not obtained by averaging the reduced data at each wavelength um the counts in a time and space Q bin. P.A.eeger & R.P.Hjelm J.Appl.Cryst. 24(1991)467-478 M ( T ( D( Ω( R) H C( R radius on detector t sample thickness T transmission η detector efficiency M incident beam monitor C neutron counts Ω solid angle A beam area V sam A s t sample volume 3

In reality, use standard sample (a coherent scatterer, not H 2 O) for cale factor. cale I( V AM λ Q λ Q C( M ( T ( D( Ω( R) Three λdependent corrections: Incident spectrum M(, Detector efficiency ratio D( Experimentally measured transmission T( relative to an empty beam. At II we empirically adjust D( using standard sample, as it varies slightly with L 1 and collimation since the monitor does not see exactly the same spectrum as the sample. Monitor allows for changes in moderator temperature or filling. A reactor source moderator may be stable enough for M( to become a scalar for exposure time and thus D( just the beam stop out empty beam, which may then cancel with the denominator of T(. [Assuming attenuator used for beam stop out is same factor at all λ.] Assume η( is same over whole detector, incorporate flood source measured scalar efficiency per pixel into Ω(R). Recent iron oxide solution in H 2 O (AN2d) Rear detector L 1 L 2 4m 4

Wavelength overlap plots are a key check! Q resolution (and any multiple scatter from strong scatterers) varies with λ. Wavelength bands [Ǻ] Recent iron oxide solution in H 2 O (AN2d) Rear detector L 1 L 2 4m Transmission (Note expanded scale) 1mm M4 H 2 O (central) M3 & M3 (large area) 1mm transmissions H 2 O M4 T of 1mm Iron Hoxide 2 O in in cell H 2 O only M3 differ by ~ Iron 1%, oxide so in H H 2 O 2 M4 background is not an issue. olid M4 (central) angle ~(0.6m) transmission 2 /(4m) 2 ~ 0.018 T AM compared to M3 If (1-T) is perhaps spread over 4π (large area) suggests >5% 0.018*( of beam 1-0.35) is scattered / 4π ~ 0.001 at Thus longest here λ H 2 O Background has little effect on Trans Interesting paper on (1-T), hibayama et.al. J.Appl.Cryst. 42(2009)621 5

M4 (central) transmission T AM compared to M3 (large area) In this case, using the too small M4 transmission only makes a difference if you are going to take the fitting seriously. Recent iron oxide solution in H 2 O (AN2d) IAM and I subtraction for Rear (4m, 0.25m sideways) and Front (1.8m, -1m sideways, rotated 25 ) Merged data below. 6

Recent iron oxide solution in H 2 O (AN2d) Rear detector L 1 L 2 12m The >5% scatter at smallest Q does not show serious multiple scatter, so the downturn here is genuine. Recent iron oxide solution in H 2 O (AN2d) Compare merged data from 4m and 12m runs. houlder at ~0.06 and downturn at smallest Q are genuine. 7

ome unexpected features in transmissions Transmission Overlap plots generally good but can we do better? Need all the effects at few % level, e.g. angle dependent T(, detector path length & parallax, detector efficiency. Transmission T( is key. Actually to some extent we don t actually need to calculate T(, but it is an extremely useful diagnostic. T( should include the AN and straight through beam, but not the Background & Inelastic. Fortunately H 2 O scatter is not usually a significant effect on the transmission. M4 beam stop detector transmissions are good (possibly better?) for weak scatter. M3 transmissions are better for strong scatter, as they include most of the AN. Beam stop out transmissions as a function of detector radius are a useful diagnostic in conjunction with overlap checks. 8

Q resolution varies inversely with λ - can remove shorter wavelengths to sharpen peaks. [Cubic phase with silica particles, W.Briscoe(Bristol) ] I((cm -1 ) Wavelength bands 9-11 Å 7-9 5-7 3-5 1.75-3 oooo 1.75-16.5 Å Q(Å -1 ) DETOUR the traditional reactor method is the same I AM raw counts of sample in can (includes T T ) I raw counts due to sample alone (includes T ) I raw counts can (includes T ) T sample transmission, by measuring (sample in can)/(empty can) T AM T.T sample in can transmission relative to empty beam here may also be solvent in a cell. Assume then I I' T + I I' AM 1 T Σ( I ' Ω T ( I T I ) AM I T T AM T I T I T AM AM I T ome reactor sources first do this, or something similar. II does this, with symmetrical reduction for ample & Can, and all transmissions relative to empty beam. 9

AN2d sum over whole Ordela detector L 0 19m, L 1 L 2 6m, λ 7.4 to 9.0 Å M4 b/s monitor 1mm H2O 1mm Heptane Empty Cell M4 b/s monitor 1mm H2O 1mm Heptane Empty Cell Time of flight Elastic wavelength 1mm H 2 O Total Mostly elastic (7.0-9.0 Ǻ) Mixed ome slowed inelastic Accelerated inelastic Using our chopper as a monochromator, inelastic scatter is interesting but fortunately the accelerated neutrons usually appear under stronger signals at shorter wavelengths. Effects are larger when L 2 is large compared to L 0 +L 1, e.g. LOQ and LQD. Also see: Do, Heller et.al. Nucl Instr Meths A 737(2014)42 TIME OF FLIGHT AN DATA REDUCTION Conceptually simple, in detail a bit tricky. Many samples scatter significant fractions of the beam. Future projects: Though tof AN does not always collect to good statistics at every single wavelength, reduction software should be able to flag issues such as very low transmission or multiple scattering. In tof we should be able to deconvolute modest multiple scattering. Wavelength overlap can be improved further still with attention to all the few % effects. (Except at extremes of Q tof averages over a large detector area.) oftware www.mantidproject.org ask me for a demo later. Many thanks to: Phil eeger for the initial method; the Mantid team for software implementation and being patient with all my requests; Charles Dewhurst & Isabelle Grillo for letting me play on D33. 10