External Calibration Source Research Articles

Energy response and position reconstruction in the DEAP-3600 dark matter experiment

DEAP-3600 is a dark matter WIMP (Weakly Interacting Massive Particles) search experiment, which aims to detect nuclear recoils from WIMP scattering in a liquid argon target. At WIMP masses of 100 GeV, DEAP-3600 has a projected sensitivity of 10−46 cm2 for the spin-independent elastic scattering cross section of WIMPs. The beta emissions from the intrinsic 39 Ar present in the natural Ar target, as well as external calibration sources, can be used to tune the energy calibration and position reconstruction in the energy region of interest (ROI) for WIMP signals. These proceedings will present the techniques used to determine the energy response and position reconstruction in DEAP-3600. Using these techniques, the light yield was found to be LY = (math) (fit syst.) ± 0.22(SPE syst.) PE/keVee with a fiducial mass for WIMP detection of 2 223 ± 74 kg for the first data set.

Calibration of a water vapour Raman lidar using GRUAN-certified radiosondes and a new trajectory method

Abstract. Raman lidars have been designated as potential candidates for trend studies by the Network for the Detection of Atmospheric Composition Change (NDACC) and GCOS (Global Climate Observing System) Reference Upper Air Network (GRUAN); however, for such studies improved calibration techniques are needed as well as careful consideration of the calibration uncertainties. Trend determinations require frequent, accurate, and well-characterized measurements. However, water vapour Raman lidars produce a relative measurement and require calibration in order to transform the measurement into a mixing ratio, a conserved quantity when no sources or sinks for water vapour are present. Typically, the calibration is done using a reference instrument such as a radiosonde. We present an improved trajectory technique to calibrate water vapour Raman lidars based on the previous work of Whiteman et al. (2006), Leblanc and Mcdermid (2008), Adam et al. (2010), and Herold et al. (2011), who used radiosondes as an external calibration source and matched the lidar measurements to the corresponding radiosonde measurement. However, they did not consider the movement of the radiosonde relative to the air mass and fronts. Our trajectory method is a general technique which may be used for any lidar and only requires that the radiosonde report wind speed and direction. As calibrations can be affected by a lack of co-location with the reference instrument, we have attempted to improve their technique by tracking the air parcels measured by the radiosonde relative to the field of view of the lidar. This study uses GRUAN Vaisala RS92 radiosonde measurements and lidar measurements taken by the MeteoSwiss RAman Lidar for Meteorological Observation (RALMO), located in Payerne, Switzerland, from 2011 to 2016 to demonstrate this improved calibration technique. We compare this technique to the traditional radiosonde–lidar calibration technique which does not involve tracking the radiosonde and uses the same integration time for all altitudes. Both traditional and our trajectory methods produce similar profiles when the water vapour field is homogeneous over the 30 min calibration period. We show that the trajectory method reduces differences between the radiosonde and lidar by an average of 10 % when the water vapour field is not homogeneous over a 30 min calibration period. We also calculate a calibration uncertainty budget that can be performed on a nightly basis. The calibration uncertainty budget includes the uncertainties due to phototube paralysis, aerosol extinctions, the assumption of the Ångström exponent, and the radiosonde. The study showed that the radiosonde was the major source of uncertainty in the calibration at 4 % of the calibration value. This trajectory method showed small improvements for RALMO's calibration but would be more useful for stations in different climatological regions or when non-co-located radiosondes are the only available calibration source.

Bulk and surface event identification in p-type germanium detectors

The p-type point-contact germanium detectors have been adopted for light dark matter WIMP searches and the studies of low energy neutrino physics. These detectors exhibit anomalous behavior to events located at the surface layer. The previous spectral shape method to identify these surface events from the bulk signals relies on spectral shape assumptions and the use of external calibration sources. We report an improved method in separating them by taking the ratios among different categories of in situ event samples as calibration sources. Data from CDEX-1 and TEXONO experiments are re-examined using the ratio method. Results are shown to be consistent with the spectral shape method.

A Context-Recognition-Aided PDR Localization Method Based on the Hidden Markov Model.

Indoor positioning has recently become an important field of interest because global navigation satellite systems (GNSS) are usually unavailable in indoor environments. Pedestrian dead reckoning (PDR) is a promising localization technique for indoor environments since it can be implemented on widely used smartphones equipped with low cost inertial sensors. However, the PDR localization severely suffers from the accumulation of positioning errors, and other external calibration sources should be used. In this paper, a context-recognition-aided PDR localization model is proposed to calibrate PDR. The context is detected by employing particular human actions or characteristic objects and it is matched to the context pre-stored offline in the database to get the pedestrian’s location. The Hidden Markov Model (HMM) and Recursive Viterbi Algorithm are used to do the matching, which reduces the time complexity and saves the storage. In addition, the authors design the turn detection algorithm and take the context of corner as an example to illustrate and verify the proposed model. The experimental results show that the proposed localization method can fix the pedestrian’s starting point quickly and improves the positioning accuracy of PDR by 40.56% at most with perfect stability and robustness at the same time.

Instrument intercomparison of glyoxal, methyl glyoxal and NO<sub>2</sub> under simulated atmospheric conditions

Abstract. The α-dicarbonyl compounds glyoxal (CHOCHO) and methyl glyoxal (CH3C(O)CHO) are produced in the atmosphere by the oxidation of hydrocarbons and emitted directly from pyrogenic sources. Measurements of ambient concentrations inform about the rate of hydrocarbon oxidation, oxidative capacity, and secondary organic aerosol (SOA) formation. We present results from a comprehensive instrument comparison effort at two simulation chamber facilities in the US and Europe that included nine instruments, and seven different measurement techniques: broadband cavity enhanced absorption spectroscopy (BBCEAS), cavity-enhanced differential optical absorption spectroscopy (CE-DOAS), white-cell DOAS, Fourier transform infrared spectroscopy (FTIR, two separate instruments), laser-induced phosphorescence (LIP), solid-phase micro extraction (SPME), and proton transfer reaction mass spectrometry (PTR-ToF-MS, two separate instruments; for methyl glyoxal only because no significant response was observed for glyoxal). Experiments at the National Center for Atmospheric Research (NCAR) compare three independent sources of calibration as a function of temperature (293–330 K). Calibrations from absorption cross-section spectra at UV-visible and IR wavelengths are found to agree within 2% for glyoxal, and 4% for methyl glyoxal at all temperatures; further calibrations based on ion–molecule rate constant calculations agreed within 5% for methyl glyoxal at all temperatures. At the European Photoreactor (EUPHORE) all measurements are calibrated from the same UV-visible spectra (either directly or indirectly), thus minimizing potential systematic bias. We find excellent linearity under idealized conditions (pure glyoxal or methyl glyoxal, R2 > 0.96), and in complex gas mixtures characteristic of dry photochemical smog systems (o-xylene/NOx and isoprene/NOx, R2 > 0.95; R2 ∼ 0.65 for offline SPME measurements of methyl glyoxal). The correlations are more variable in humid ambient air mixtures (RH > 45%) for methyl glyoxal (0.58 < R2 < 0.68) than for glyoxal (0.79 < R2 < 0.99). The intercepts of correlations were insignificant for the most part (below the instruments' experimentally determined detection limits); slopes further varied by less than 5% for instruments that could also simultaneously measure NO2. For glyoxal and methyl glyoxal the slopes varied by less than 12 and 17% (both 3-σ) between direct absorption techniques (i.e., calibration from knowledge of the absorption cross section). We find a larger variability among in situ techniques that employ external calibration sources (75–90%, 3-σ), and/or techniques that employ offline analysis. Our intercomparison reveals existing differences in reports about precision and detection limits in the literature, and enables comparison on a common basis by observing a common air mass. Finally, we evaluate the influence of interfering species (e.g., NO2, O3 and H2O) of relevance in field and laboratory applications. Techniques now exist to conduct fast and accurate measurements of glyoxal at ambient concentrations, and methyl glyoxal under simulated conditions. However, techniques to measure methyl glyoxal at ambient concentrations remain a challenge, and would be desirable.

Beam Spoiling Correction for Spaceborne Microwave Radiometers Using the Two-Point Vicarious Calibration Method

The vicarious warm and cold calibration techniques are combined to provide an end-to-end two point calibration method for spaceborne microwave radiometers. The method uses stable external calibration sources to permit an end-to-end calibration of the complete radiometer, including its primary antenna. Both gain and offset corrections to the radiometer calibration can be computed since vicarious reference points at both the cold and warm ends of the measurement range are available. The method is demonstrated using the WindSat radiometer. Calibration errors are found which vary with azimuthal scan position in a manner that suggests that the cause is beam spoiling from on-board spacecraft obstructions. The impact on gain and offset calibration errors of the on-board obstructions can be determined from the vicarious calibration. This information is used to characterize the beam spoiling-specifically to determine the decrease in the antenna's beam efficiency and the mean brightness temperature entering the far sidelobes of the antenna, both as functions of azimuthal scan position. With this characterization available, a calibration correction algorithm can be constructed that is based on the root cause of the problem.

Comparison of four scatter correction methods for patient whole-body imaging during therapeutic trials with iodine-131.

Activity in regions of interest can be measured using serial whole-body scintigraphic images to estimate the dose received by a patient after therapeutic injections. As scatter and attenuation introduce biases in quantitative measurements, these phenomena need to be corrected to allow accurate determination of tracer concentration. The feasibility of iodine-131 whole-body imaging in list mode was studied over an extended spectrum (0-750 keV) in order to compare four scatter correction methods by the geometric mean approach (20%, Dual Energy Window, Triple Energy Window, and Spectral Factor Analysis methods). All data were corrected for attenuation using a Transmission Attenuation Correction prototype from Sopha Médical Vision international. The half-life of an iodine-131 standard source was calculated from scatter-corrected anterior views. Whole-body activities, using the Day 0, Hour 1, image as a reference (calibration from an administered dose) and an external calibration source (calibration from an imaged known-activity source), were calculated for three patients undergoing a radioimmunotherapy trial in order to assess the reliability of quantification by the geometric mean approach. Patient studies confirmed the clinical feasibility of this type of acquisition. As expected, all methods allowed determination of an accurate half-life for the calibration source. A slight impact of scatter correction was observed in quantification with calibration from an administered dose. For quantification with calibration from an imaged known-activity source, whole-body activity was overestimated by +100% to +200% with the 20% window, depending on the size of the patient, whereas errors were about +50% with scatter correction. However, the influence of patient morphology was less marked when a scatter correction method was used. When the geometric mean approach is used together with a sophisticated transmission acquisition device for quantification with calibration from an administered dose, the 20% energy window appears to be adequate. However, for quantification with calibration from an imaged known-activity source, accurate activity estimates cannot be obtained even when scatter correction is used to compensate for the influence of patient morphology.

Calibration of advanced visible and near infrared radiometer

Calibration results of the advanced visible and near infrared radiometer (AVNIR) on board ADEOS are presented. First, the AVNIR responses to the internal and external calibration sources are evaluated, and their short- and long-term stabilities are summarized. Second, absolute radiometric calibration of AVNIR is conducted by using the NASA JPL's calibrated airborne optical sensor, and the results from several different calibration methods (preflight calibration, and in-flight calibrations using the on-board data, the AVIRIS, and the vicarious method) are compared. Third, the geometric accuracy and the image quality are summarized.

Calibration of the ocean color and temperature scanner

Calibration results of the ocean color and temperature scanner (OCTS) on board the Advanced Earth Observing Satellite (ADEOS) are presented. The authors have evaluated the OCTS responses to internal calibration sources (i.e., lamps, electric voltages, and sunlight), natural targets (i.e., night data and uniform targets in the daytime), external calibration source (i.e., underflight of a calibrated airborne sensor), and a theoretical calibration source modeled for the atmospheric radiation. The authors then compared the acceptability of these calibration sources.

Calibration and validation of the ocean color version-3 product from ADEOS OCTS

We present calibration and validation results of the OCTS’s ocean color version-3 product, which mainly consists of the chlorophyll-a concentration (Chl-a) and the normalized water-leaving radiance (nLw). First, OCTS was calibrated for the inter-detector sensitivity difference, offset, and absolute sensitivity using external calibration source. It was also vicariously calibrated using in-situ measurements for water (Chl-a andnLw) and atmosphere (optical thickness), which were acquired synchronously with OCTS under cloud-free conditions. Second, the product was validated using selected 17 in-situ Chl-a and 11 in-situnLw measurements. We confirmed that Chl-a was estimated with an accuracy of 68% for Chl-a less than 2 mg/m3, andnLw from 94% (band 2) to 128% (band 4). Geometric accuracy was improved to 1.3 km. Stripes were significantly reduced by modifying the detector normalization factor as a function of input radiance.

Calibration of ocean color temperature scanner (OCTS)

The calibration results of the Ocean Color Temperature Scanner (OCTS) onboard the Japanese Advanced Earth Observing Satellite (ADEOS) are presented in this paper. The goal of OCTS is to measure the geophysical quantities of the ocean (Chlorophyll‐a concentration, pigment concentration, etc.). They are calculated from the measured radiance by correcting molecular and aerosol scattering components, so the highly accurate calibration of the OCTS data is desired. For this purpose, OCTS is radiometrically calibrated using internal calibration sources (i.e., internal lamps, sun light, night times data, uniform target data), and external calibration source (NASA's airborne sensor underflights). It is also calibrated using the ground control points. As a result it was confirmed that OCTS data meets the specifications and provides accuracy for scientific use.

COBE differential microwave radiometers - Calibration techniques

The COBE spacecraft was launched November 18, 1989 UT carrying three scientific instruments into earth orbit for studies of cosmology. One of these instruments, the Differential Microwave Radiometer (DMR), is designed to measure the large-angular-scale temperature anisotropy of the cosmic microwave background radiation at three frequencies (31.5, 53, and 90 GHz). This paper presents three methods used to calibrate the DMR. First, the signal difference between beam-filling hot and cold targets observed on the ground provides a primary calibration that is transferred to space by noise sources internal to the instrument. Second, the moon is used in flight as an external calibration source. Third, the signal arising from the Doppler effect due to the earth's motion around the barycenter of the solar system is used as an external calibration source. Preliminary analysis of the external source calibration techniques confirms the accuracy of the currently more precise ground-based calibration. Assuming the noise source behavior did not change from the ground-based calibration to flight, a 0.1-0.4 percent relative and 0.7-2.5 percent absolute calibration uncertainty is derived, depending on radiometer channel.