Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Solar autocalibrating XUV-IR spectrometer system (SOLACER) for the measurement of solar spectral irradiance

Open Access Open Access

Abstract

The accurate measurement of solar spectral irradiance (SSI) from space is challenging because it requires a system that can reliably exclude the impact of degradation on the instruments for the full duration of a long-term mission. The new Autocalibrating XUV-IR Spectrometer System (SOLACER) presented here meets this requirement. It is a compact and moderate-cost instrument that allows repeated onboard calibration of the spectrometers (SPs) providing SSI data of significantly increased accuracy. To this end, absolute radiometers and ionization chambers with proven long-term stability serve as primary irradiance detectors to determine the absolute SSI fluxes passing through a series of narrow- and medium-band filters with updated transmission. Consecutively cross-calibrated bolometers (BOSs) and highly sensitive photomultiplier tubes are used as secondary irradiance detectors. The new SOLACER instrument is designed to cover the spectral range from about 2–2800 nm with eight planar grating SPs. Adding total solar irradiance and BOS sensors adapted to observe the Earth’s infrared emission and the reflected solar radiation, the global energy budget at the top of the atmosphere can be measured to provide data of higher absolute accuracy for climate modeling, too.

© 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

1. INTRODUCTION

The measurement of solar spectral irradiance (SSI: spectrally resolved power of the solar electromagnetic radiation in Wm2nm1) from soft x-ray/extreme ultraviolet (XUV/EUV) to infrared (IR) and total solar irradiance (TSI: integrated power of the solar electromagnetic radiation in Wm2) provides the basic data for solar, solar-terrestrial, atmospheric, and climate physics. SSI data of higher absolute accuracy will support activities in these fields of research.

Solar physics implies the knowledge of photon fluxes excited in the solar atmospheric altitude regions, i.e., the photosphere, the lower and upper chromosphere, the transition region and the corona, with plasma temperatures increasing with altitude from about 6000 K to >106K. SSI photons are therefore strongly dependent on the altitude region in which they are generated. The coverage of the photons extends from the IR to the XUV spectral regions to be measured at a cadence from minutes (flare observation) and days (solar rotation) to 11 years (solar cycle) at the highest possible spectral resolution and with absolute accuracy. Solar modeling is key for different aspects. It can also be used to check and improve SSI accuracy in spectral regions of weak solar energy output. When SSI data are measured and collected by instruments with different spectral resolutions, solar modeling can provide a good tool for the interpretation of the SSI data, especially when it comes to integrating SSI and comparing it with TSI.

Solar-terrestrial and atmospheric physics investigates the SSI spectral regions being absorbed in the terrestrial atmosphere. The thermosphere-ionosphere region and, to a certain extent, the upper mesospheric altitude regions are controlled by XUV and EUV photons. The EUV is absorbed in the upper atmosphere, leading to the partial ionization of its atoms and molecules and the subsequent heating of the thermosphere. A change in EUV leads to changes in electron density, temperature, and neutral density [1,2]. The ionosphere plays an important role in radio communication too. EUV also controls the dissociation of molecular oxygen (O2) and carbon dioxide (CO2), which means that it plays a dominant role in the thermosphere-ionosphere region and partially in the upper mesosphere down to about 65 km. Application of occultation, e.g., in the EUV, provides a good way of measuring thermospheric densities and temperatures, including exospheric temperatures [3]. Following the significant decrease of these parameters during the past solar minimum (2008–2009) with decreased XUV/EUV fluxes, [4,5] future measurements are of great interest in order to find out whether this unusual decline continues. The SSI of the vacuum ultraviolet (VUV) and IR ranges plays a major role in the upper mesosphere down to the tropospheric interaction with ozone and other atmospheric trace gases as well as with aerosols. Absolute SSI data at medium spectral resolution on the basis of a daily average make an important contribution to this area of research. SSI and TSI measurements are also input into planetary atmosphere models to validate these models by comparing their output with measurements to allow determination of the most accurate results.

Climate research calls for the highest possible absolute accuracy of SSI and TSI data on solar cycle periods at medium spectral resolution and data sets averaged over solar rotations of about 28 days each. For climate modeling, the total spectral range of SSI data is required in order to account for vertical and horizontal energy exchange from the bottom to the thermospheric-ionospheric system of the Earth’s atmosphere. Improving the accuracy of SSI data for climate modeling remains a major issue in the VUV spectral region, where the absorption of SSI by atmospheric trace gases initiates long chains of physical-chemical processes that still require further investigation. In this context, the primary anthropogenic trace gas driving climate change is carbon dioxide. Methane (CH4) and chlorofluorocarbon (CFC) species that cause depletion of stratospheric ozone (O3) also play a role. A special phenomenon is observed above the tropopause. There, the atmosphere has cooled during recent solar cycles to an extent that exceeds the cooling caused by the decreasing EUV SSI. As atmospheric density decreases with altitude, the IR bands enable trace gases such as CO2 to absorb and emit radiation, becoming optically thinner such that radiative cooling begins to dominate over absorption and warming [4].

Applying SSI data to the scientific areas mentioned, the requirements significantly differ from each other. In addition, the knowledge of the SSI variation must be taken into account for a complete understanding of the effects on the atmosphere and ultimately on climate change [6]. SSI variability is a function of wavelength [7]. While the solar XUV/EUV output varies by >100% during a solar cycle, SSI variability decreases almost uniformly to 0.15% in the visible (VIS) spectral region.

There are two more factors that add to the difficulty of deriving accurate SSI data: namely, the progressive degradation of SPs in space and the lack of spectral irradiance sources that closely simulate the SSI over the full spectral range with respect to energetic and spectral composition as well as to angular divergence.

Precise measurements of SSI can only be achieved through repeated calibration of the SPs in order to exclude the impact of degradation on the spectrometric recordings, which is a challenging task [8].

2. BASIC REQUIREMENTS FOR CALIBRATING SSI INSTRUMENTATION

The correction of SSI observations using onboard tracking of space instrument degradation has been a difficult task to date [9,10]. In addition, there is no standard radiation source available that allows satisfactory simulation of the natural SSI. Even worse, the manifold effects of the space environment on SSI SPs cause instrument degradation and means that laboratory calibration data can only be considered provisional. Furthermore, the possibilities for implementing calibration in satellites are quite limited. Therefore, degradation of SSI instrumentation in space poses a challenge for the community. Moreover, degradation leads to high uncertainties. To track the degradation, previous missions have used either ionization chambers (ICs) as a primary irradiance detector [11,12], internal lamps [13], and backup channels [14] as an onboard calibration source, or stars as noncalibrated relatively stable radiation sources to determine changes in the sensitivity of the SPs in the VIS spectral range [15]. This publication presents an instrument design and measuring method that aims to substantially improve the accuracy of SSI data acquisition. First, requirements are derived for comparing SSI space instruments and methods in order to optimize degradation tracking or to exclude the impact of degradation on recorded spectrometric data.

A. SSI Instruments and Causes of Degradation

From 1975 to 1978, a Committee on Space Research (COSPAR) Task Force supported by a group of 31 participants investigated the impact of degradation on the SSI data derived from SPs operating in space. The only way to separate SSI variability caused by solar activity from changes in instrumental efficiency caused by degradation is “to perform solar flux monitoring from long mission satellites with recalibration measurements” [16]. This conclusion was based on the observation that all types of SSI SPs considered (Ebert–Fastie, Rowland circle, Czerny–Turner, Seya–Namioka-SPs, and others) suffer from degradation that is challenging to monitor in space because too many different processes are involved. Usually SSI itself with photon energies >100eV leads to the greatest degradation. Cosmic radiation, contaminants such as hydrocarbons, temperature changes, very low gas pressures, and other factors can change the properties of optical surfaces, filters, and detectors. This can result in an increase or decrease in the spectrometric efficiency, which can change with wavelength [17]. Though different methods to correct for degradation have been applied, the results still require substantial improvements.

B. Calibration in Space: Requirements for SSI Measurements

Two methods are typically used to quantify degradation or to exclude the impact of degradation on instruments: namely, calibration of SPs with (i) standard radiation sources to simulate the SSI and (ii) primary irradiance detectors.

1. Calibration with Standard Radiation Sources

To date, SPs as mentioned in Section 2.A have been used. For absolute calibration, the geometry of the entrance slit or aperture is the fundamental parameter for calibrating the SP. It fixes the critical “sun-imaged effective area” on the first optical component of the SP, controlling its efficiency; its areal size defines the number of photons available for the correct determination of the SSI. In this context, the following requirements Rn are derived:

  • R1: Any beam of photons simulating the SSI must deliver approximately the same total energies, number of photons, and angular divergence as the SSI beam.
  • R2: After passing the entrance slit, the simulating radiation must hit nothing else but the sun-imaged effective slit-like area that “burns out” during the mission due to interaction with the SSI photons. Therefore, both in the laboratory and in space, the simulating radiation sources must be positioned in front of the SPs in order to realize the same geometrical conditions, angle of incidence, and divergence of the beam as apply to the SSI measurements in space.
  • R3: The impact of degradation on the optical components caused by standard radiation sources shall be determined exactly or excluded over time.

In satellites, standard radiation sources are not mounted in front of the SSI instruments, meaning that the radiation does not pass the entrance slit. Instead, the sources are mounted inside the SP system. The photons reach the SP along a path that differs from that of the SSI. Such SPs therefore do not meet the requirements:

  • 1. There is no radiation source in space that approximately simulates the full SSI in terms of energy, spectral distributions, and angular divergence (R1).
  • 2. There is no simulating radiation source positioned in front of the SPs that accurately hits the slit-like SSI-pictured area on the optical components of the SPs. If other areal parts of the optical components are also involved, there is no way of separating the areas from each other in order to calculate the correct efficiency parameters. In other words, the efficiency of the relatively small and mostly stressed slit-like area rather than that of larger less-stressed areas included must be measured (R2).
  • 3. There is no measurement technique that is suitable for tracing the degradation of the standard radiation sources and of the optical components feeding the radiation into the SPs (R3) in space. Trying to calibrate these SPs with primary irradiance detectors poses a fundamental dilemma: The number of data points increases with higher spectral resolution of the SP, adding up uncertainties. Also, narrowing the slit further means that the spectral resolution is restricted by the minimum number NG of the grooves on the optical grating, λ/Δλ=m*NG (with m–spectral order) hit by the photons. Finally, the entrance slit becomes narrower with increasing spectral resolution, reducing photon numbers to a level that no longer delivers useful signals in a primary irradiance detector.

In the laboratory, these types of SPs are precalibrated with high expenditure. In space, the large equipment used is not applicable. While the simulated radiation of the laboratory sources passes the entrance slit of the SPs, the standard radiation generated by lamps in the satellite instruments take other paths and also interact with other optical surface areas and components of different efficiencies. Since the optical path of the radiation from the standard source differs from the one of the SSI, degradation strongly differs between the two radiation paths.

This means that SPs with an entrance slit do not meet the top priority requirements for accurate calibration in space.

2. Calibration Using Primary Irradiance Detectors

This calibration method refers to the scheme published in 1976 [18]. First, to determine the absolute photon flux, EUV irradiance is allowed to pass through a monochromator and enter an IC. Exchanging the IC with a SP allows one to determine its efficiency. In the solar autocalibrating EUV spectrometer system (SolACES), the monochromator is exchanged with a series of filters [19]. In order to cover the full SSI spectral regions, SOLACER also includes TSI primary irradiance detectors of the Davos Absolute RAdiometer (DARA) type. This method of SSI calibration in space is checked against these requirements:

  • 1. SSI is used as radiation source, which fully meets the requirements (R1).
  • 2. SSI accurately hits the optically active measuring and calibrating areas of the system (R2).
  • 3. Repeated onboard calibration of the SPs excludes the impact of degradation on the SPs. It is performed by measuring the SSI with reference to the space-validated long-term stable primary irradiance detectors of the TSI DARA and IC types [19] step by step using a series of narrow- and medium-band filters (R3).

The new SSI system SOLACER meets the requirements (see also Figs. 1 and 2 and the description of the measuring system).

 figure: Fig. 1.

Fig. 1. Scheme of the SOLACER subsystems (see also Section 3.A): The SP (green rectangle on the left) consists of a planar grating, a parabolic mirror, and a detector. Spectral recording is carried out while the grating turns. When SSI enters the SP through the open aperture (white rectangle in the filter wheel on the left below SSI), the signal SSSI(λ) is generated. When a filter (red rectangle in the filter wheel on the left below SSI) is turned around and placed on the top SSI SP, the corresponding signal is SSSIF(λ). The detectors are operated with filters. For cross-calibrating the DARA detectors with outer TSI devices or for cross-checking the BOS detectors, these detectors are operated without filters.

Download Full Size | PDF

 figure: Fig. 2.

Fig. 2. Scheme of the SOLACER subsystems (top view).

Download Full Size | PDF

3. SOLACER: A NEW IN-ORBIT CALIBRATING SSI MEASURING SYSTEM

TSI detectors are considered long-term stable primary irradiance detectors that perform with an accuracy of close to 2.2*104 [20,21]. If the TSI could be subdivided into two spectral ranges using two optical filters with known transmission characteristics, a first approach of SSI measurement capability could be to allocate two absolute spectral irradiance values in Wm2 transmitted by the filters to both spectral subranges of TSI each. SOLACER’s goal is to subdivide TSI into an optimized number of subranges by filters covering the full spectral coverage of the solar electromagnetic emissions for deriving the absolute irradiance values for each spectral subrange of the filters. SSI recording by SPs also allows the consecutive determination of the actual filter transmission. In the XUV/EUV spectral regions, ICs serve as primary irradiance detectors.

For the XUV/EUV spectral regions, SolACES aboard the International Space Station validated the detector-based calibration method during nine years of operation [11,12]. For SOLACER, the spectral range of SolACES is extended to the IR by integrating TSI detectors.

The method for onboard degradation tracking is based on repeated in-orbit calibration. It is executed in five steps (see also Fig. 1 and Section 4):

  • 1. Spectrometric recording of SSI signals SSSI(λ) at wavelengths λ with open apertures.
  • 2. Spectrometric recording of SSI signals SSSIF(λ,Δλ), having placed a filter with a bandwidth Δλ in front of the scanning SPs.
  • 3. The actual transmission of the filter T(λ,Δλ) centered at λ can now be determined:
    T(λ,Δλ)=SSSIF(λ,Δλ)/SSSI(λ,Δλ).
    SSSI(λ,Δλ)–spectrometric signals centered at the wavelength λ with a bandwidth Δλ and SSSIF(λ,Δλ)–spectrometric signals with filter centered at the wavelength λ with a bandwidth Δλ.
  • 4. Turning the filter with the passband Δλ via the filter wheel onto a primary irradiance detector, the SSI transmitted by the filter SSIDARAF(Δλ) or SSIICF(Δλ) is determined in terms of Wm2 or of the number of photons m2s1(Φ), respectively,
    SSIDARA(λ,ΔλF)=SDARAF(λ,ΔλF)/T(λ,Δλ),
    SSIIC(λ,ΔλF)=SICF(λ,ΔλF)/T(λ,Δλ).
    SSIDARA(λ,ΔλF)–SSI derived from DARA signals SDARAF(λ,ΔλF) generated by the photon flux passing the filter centered at the wavelength λ with a bandwidth Δλ, SSIIC(λ,ΔλF)–SSI derived from IC signals SICF(λ,ΔλF) generated by the photon flux passing the filter at the wavelength λ with a bandwidth Δλ, and SDARAF(λ,ΔλF)–signal of DARA or IC generated by the photon flux passing the filter at the wavelength λ with a bandwidth Δλ, and SICF(λ,ΔλF)–signal of DARA or IC generated by the photon flux passing the filter at the wavelength λ with a bandwidth Δλ.
  • 5. By repeating these steps with filters distributed across the entire spectral range, the actual SSI(λ) can be derived.

A. SOLACER Optical Arrangement

Figure 2 schematically shows the combination of the subsystems:

  • • Eight compact SPs, two of which have been mounted on plates of the same size, each consisting of a planar grating, a parabolic mirror, and a detector (green part in Fig. 1 and marked by SP1 to SP8 in Fig. 2). There are standard detectors, channeltrons, photomultiplier tubes (PMTs) and lead sulfide (PbS) detectors. Channeltrons and PMTs are powered by variable high-voltage supplies to adapt amplification in the case of degradation.
  • • Two DARAs and two ICs act as primary irradiance detectors, while two bolometers (BOSs) and two PMTs are used as repeatedly cross-calibrated secondary irradiance detectors (marked in Fig. 2 and allocated by letters also in Fig. 2 as explained below). Since the ICs release gases, they must be operated separately from the SPs to avoid coronal discharges caused by the high-voltage supplies.
  • • A filter wheel with 50 circular apertures organizes the exposure of the components to SSI (Figs. 1 and 2). Sixteen of them are open towards the subsystems (blue circles in Fig. 2). Narrow- and medium-band filters are mounted in 34 of them, which are distributed across the SSI spectral range.

All these elements are placed behind a rotatable filter wheel with two rings, each with 25 apertures of equal size. Two attenuator positions are assigned to the apertures of the PMTs in order to check their linearity and to adapt the counting rates to optimum operational conditions. The attenuators consist of three metallic nondegrading meshes of 10%, 1%, and 0.1% transparency, respectively (not shown in Fig. 2).

The BOS detectors add to the DARAs and to the PMTs. For the spectral range <175nm, PMTs with different photon entrance windows (calcium/magnesium fluoride, thin quartz plates) and other photocathode materials are available [22].

More details on the main components and calibration are presented in the following sections.

B. SOLACER SPs

The planar grating geometry of SPs with one detector is chosen for its high transparency of radiation, the compact design [2325], and the smooth photon efficiency function. Array detectors would require the complex determination of the efficiency function for each individual detector.

Nearly parallel solar radiation enters the SPs via a circular aperture with an 8 mm diameter, reflected and diffracted by the planar grating, and focused by a one-dimensional parabolic mirror onto the exit slit with the detector behind. The SSI spectra are scanned by either turning the grating or turning the fixed mirror and detector around the center of the grating, parallel to the grooves/lines.

Changing the aperture size, e.g., up to 1cm2 or more does not change the spectral resolution determined by the focal length of the parabolic mirror or the angular divergence of the incoming beam. The size of the aperture is one of the parameters that can be adapted to optimize the accuracy of the SOLACER data.

High transparency: The aperture for SOLACER is ASOLACER=50mm2. The slit area of the conventional SP airglow-solar spectrometer instrument (ASSI) [22] with a curved grating was AASSI=3mm2, which means the difference was 17. Count rates of SolACES ranged from 105 to almost 108 cps (counts per second). The expected count rates for PMTs are listed in Table 2, and the expected signal-to-noise ratio (SNR) for the SPs equipped with PbS detectors is shown in Table 3.

Compactness: The eight SPs are packed in four sets of two (Fig. 2). The size of the SolACES double-SPs is 85mm*190mm*320mm. The complete SOLACER instrumentation is estimated at about 480mm*420mm*350mm.

The typical spectral resolution is shown in Table 1. There are spectrometric parameters such as the grating constant and the focal length of the parabolic mirror to adapt the spectral resolution to other requirements.

Tables Icon

Table 1. SP Properties: All Planar Gratings Have the Same Geometrical Size, While the Number of Lines/mm and the Coating Materials Differ

Table 1 also shows other characteristics of the planar grating SPs.

Spectral recordings take about 6 min each. During up to 16 orbits per day, there is sufficient time to record more spectra per day, which improves the SSI data statistics.

With reference to Fig. 2, SPs SP1 to SP4, the IC, one radiometer DARA, one BOS, and one PMT are located behind the inner ring of the filter wheel. SPs SP5 to SP8 and the other components, DARA, BOS, and PMT are operated via the outer circle. The doubled SPs SP3 and SP5 as well as SP4 and SP6 connect the corresponding spectral ranges with each other and provide the cross-calibration capabilities of the different calibration detectors. They take measurements in the lower SSI energy ranges to increase data accuracy.

C. SOLACER ICs

Figure 3 shows a diagram with a filter on the entrance of the double IC with front and rear electrodes and a photodiode at the end of the optical path of the filtered SSIF. Ion-electron pairs originating from the absorption of XUV/EUV photons in the ionization areas generate currents. The amplitude and curvature of the three currents depend on the gas pressure and photoabsorption cross sections σ(λ). For most calibration cycles, the absorbing gas increases from 0 to 2 mbar, at which pressure all photons are absorbed. Then, adding up the currents from the front and rear electrodes, If and Ir, and taking into account that one photon produces one ion-electron pair in the EUV region with λ>25nm (Fig. 4), the number of photons m2s1Φ(ΔλF) is

Φ(ΔλF)=(If+Ir)/e,
with e=1.602*exp(19)C.

 figure: Fig. 3.

Fig. 3. Scheme of the IC and a graph of currents generated in the front and rear ionization area and in the photodiode.

Download Full Size | PDF

 figure: Fig. 4.

Fig. 4. Primary and secondary production of ion-electron pairs for different absorbing gases in the IC.

Download Full Size | PDF

The filters are pressed onto the entrance aperture, sealing the IC. After a measurement period of approximately 5 min, the filters are taken off and the gas is released into space. Four cylindrical gas reservoirs with a volume of 510cm3 each are also part of the instrumental structure. To ensure the astronauts’ safety, the maximum permissible gas pressure is 5.6 bar. After nine years of extensive calibration activities with the ICs, there was still sufficient gas available for another extension of the mission. In satellites, the maximum permissible gas pressure is up to 200 bar, which—if required for very long-term missions—can be used with increased volumes of the gas reservoirs.

The current from the photodiode is used for cross-checking purposes. Contrary to the other currents, it is not affected by secondary absorption.

Based on the experience and results of the SOLAR SolACES mission, we expect stable performance for a mission duration extending a solar cycle. Applied improvements derived from measurements at the Berlin Electron Synchrotron (BESSY) cover the spectral range from 2 to 150 nm [26] in the SOLACER SP system. Calibration capability and stability are based on the nonchanging photoabsorption cross sections. The production of ion-electron pairs in space is the same as in the laboratory.

XUV/EUV SSI uncertainties of 7.5% were observed during the SolACES mission, as explained in detail in [27]. Eight sources of uncertainties are taken into account. Given the very strong decrease of the spectrometric count rates after two years of International Space Station (ISS) SolACES operation (the nominal mission period was 18 months, with a subsequent extension to nine years). Five percent of the uncertainties are allocated to the corresponding low count rate statistics. This figure is expected to improve by <1% with SOLACER to <5% of uncertainties. State-of-the-art in this spectral range is 10% accuracy of SSI data. In view of the variability exceeding 100% and partially even 1 order of magnitude in the XUV/EUV, good progress has already been achieved with SolACES. It will significantly be improved with SOLACER.

In the spectral range of 25–150 nm, one EUV photon absorbed by gases such as helium, neon, argon, xenon, or nitric oxide produces one ion-electron pair each (Fig. 4). With this single production of ion-electron pairs, the spectral subregions extend from 25 to 150 nm. Below 25 nm, the secondary ion-electron contribution adds to If and Ir.

D. TSI-DARA Detectors

SOLACER is equipped with two TSI instruments for the conversion of the photon fluxes passing the filters into spectral irradiance (Wm2). They are of the DARA-TSI type, which is an update of Compact and Light-weight Absolute Radiometer (CLARA), flown on the NORSAT-1 satellite as described in [28].

TSI space radiometers are well-known for their high long-term stability and sensitivity across the full solar spectrum. The integration of TSI detectors, ICs, BOSs, and PMTs in SOLACER provides a full-scale autocalibration instrument to derive highly accurate XUV/EUV/VUV/VIS/IR SSI data.

The DARA-TSI uses the electrical substitution principle to measure solar irradiance at the position of the satellite. The operation modes and data retrieval algorithms that were developed for the TSI instrument CLARA on NORSAT-1 are also implemented here. The onboard software actively controls the electric heating of the measuring cavity to maintain its thermal equilibrium with the so-called compensating cavity, which is continuously heated with a constant electrical current (Fig. 5). The third cavity serves as a backup channel. A mechanical shutter is operated every 15 s to alternately shade and irradiate the measuring cavity. The difference in electrical heater power between the shaded and irradiated states is then equal to the incident solar irradiance. The cavity absorptivity and area of the entrance aperture are determined before launch.

 figure: Fig. 5.

Fig. 5. Left panel, three cavity detectors from DARA mounted to a common heat sink. The cavities are painted black on the inside and gold on the outside. The solar irradiance is absorbed inside the cavities (irradiance originates from the top right corner); adapted from [28]. Right panel, DARA working principle. (a) The reference cavity is always shielded from sunlight and heated electrically (PReference) via a constant power of 45mW. The temperatures in the three cavities (TNC, TRC, and TBC) and the heat sink (THS) are constantly measured. The control circuit continuously adjusts the electrical heater power in the nominal and backup cavities to maintain the heat flux QNC and QBC identical to that of the reference cavity (QRC). (b) To measure irradiance, the shutter in front of the nominal cavity is opened, and the absorbed sunlight results in the cavity additionally being optically heated, so that less electrical power is required to keep the thermal flux QNC identical to QRC. The optical power in the nominal cavity is then equal to the difference between the electrical heater power in the closed (Pclosed) and the open (Popen) shutter states. The solar irradiance is then defined as IS=(PclosedPopen)/A, with A being the aperture area.

Download Full Size | PDF

The absorptivity of the DARA can be considered independent of wavelength. An identical transfer filter is used for both the DARA absolute radiometer and the IC measurement. With DARA, we will determine the reference irradiance value for each bandpass of the transfer filters. This value will then be used to absolutely calibrate the spectra measured with the respective transfer filters in the UV, VIS, and NIR.

The cavity absorptivity is expected to slowly degrade when exposed to hard XUV-EUV-UV radiation in space. The cavity of the backup channel is only occasionally used to monitor the degradation process of the measuring cavity. The backup cavity remains shaded most of the time and only measures TSI during the so-called backup mode, simultaneously with the measuring cavity. After a certain number of backup operations, the compensating cavity is used to determine the degradation of the backup channel. During this mode of operation, the measuring cavity takes on the role of compensating cavity.

Because the requirement on the accuracy of the DARA detectors located in SOLACER can be released, the size of the current aperture measuring will be increased. Then cross-calibration with a separate TSI instrument aboard or outside of the same payload will be applied.

E. Secondary Irradiance Detectors: BOS and PMT Devices

Below 300 nm, the SSI is too weak to generate sufficiently accurate DARA signals. This is why SOLACER will also be equipped with two BOSs derived from the space-qualified sensor BOS [29] setup on the PICARD satellite and PMT devices. Their higher sensitivities will extend the DARA sensitivity range into the VUV and EUV spectral ranges (see also Table 4).

BOS is a broadband radiation measurement “instrument.” The main detector is a thermistor attached to a black-coated surface, which is permanently exposed to space without any optical and aperture accessories. The temperature measurements are used within a transfer function to determine variations in incoming solar irradiance as well as the terrestrial radiation.

The measurement principle of the BOS is a combination of a thermistor-based BOS and a calorimeter. The basic geometry is a cylinder, where the heat flux measurement is carried out through temperature measurements T1 and T2 at thermal nodes (Fig. 6).

 figure: Fig. 6.

Fig. 6. Schematic layout of the original BOS setup on the PICARD satellite.

Download Full Size | PDF

The sensing unit is composed of two aluminum masses: m1 and m2. The surface of m1 is painted black; m2’s surface is painted white. The mass m1 is then connected to m2 via a thin shunt at the bottom of m2. In addition, m1 is thermally insulated from m2 with a multilayer insulation.

The smaller mass m1 absorbs and re-emits electromagnetic radiation of a large bandwidth from space. The larger mass m2 absorbs less energy (due to the white coating) and re-emits most of the energy caught by m1 and m2 back into space.

The working principle of measuring the incident radiation on BOS is as follows:

During exposure (i.e., absorption and re-emission) of the electromagnetic radiation, a temperature difference between m1 and m2 is observed. The incident radiation flux can be calculated using several material constants and the calculation of the thermal energy of this network.

The device is expected to provide SSI signals with a resolution of 0.1Wm2 and a dynamic range DRBOS=106. Since BOS is not operated on an absolute scale, it is cross-calibrated against the DARAs.

Two PMTs are used as secondary irradiance detectors. As an example, the Hamamatsu PMT R13096 is selected. It has a dynamic range of 1/9.5·106, with a spectral response of 10%–90% from 185 to 900 nm. Extending the spectral range towards shorter wavelengths, a calcium or magnesium fluoride window will be chosen.

In Table 2, the expected counting rates (cps) of the Hamamatsu PMT are shown for the bridged spectral region only. For wavelengths between 300 and 175 nm, the photon energy (Energy), the SSI data, the corresponding number of photons (Photons), the optical transmission (OT) passing the optical gratings and parabolic mirrors are taken into account. The OT data are published [19]. PMT efficiencies are shown in the Hamamatsu data sheet.

Tables Icon

Table 2. PMT Estimated Counts per Second for Hamamatsu PMT R13096

Tables Icon

Table 3. SNR Calculation for a PbS-IR Detector of a Generic D*=1.5×109cmHz1/2/W and an Integration Time of 1 s and an Area of 50mm2, Yielding a noise equivalent power (NEP) of 4.7×1010W

The SSI variability in the IR spectral range >800nm is in the order of 0.15%. A correct SSI measurement requires at least 0.05% accuracy, which is not possible with PbS detectors with reasonable expenditure. Therefore, PbS detectors of the SPs are cooled with Peltier elements. Tracing the transmission of IR filters allows a more accurate measurement using TSI DARA and BOS detectors.

4. CALIBRATION

Using any source emitting electromagnetic radiation similar to the Sun, SOLACER is capable of self-calibration. TSI DARA detectors and ICs convert the incoming photon fluxes (photons m2s1) via the filters (Fig. 1) into spectral irradiance (Wm2). For a description of the process, please refer to Section 3.

A. Calibration in the Laboratory and from the Ground

In the laboratory complex, instrumentation of standard radiation sources is used that is not available in space. On ground, the instruments must be tested and qualified in order to bring the detectors to SSI levels, to prepare the detailed operational procedures, and to develop software that can be applied during the mission to evaluate the recorded data. The BESSY electron synchrotron, the Physikalisch-Meteorologisches Observatorium Davos (PMOD)/World Radiation Center (WRC), Physikalisch-Technische Bundesanstalt (PTB) Braunschweig Black Body radiator, and the Fraunhofer Institute for Physical Measurement Techniques (IPM) laboratories with SSI simulation lamps are best suited for such activities.

In order to determine preliminary smooth efficiency curves ηL=f(λ) of the SPs, SOLACER is irradiated directly with monochromatic BESSY radiation SIL(λ) producing spectral signals SSIL(λ). This is done for each of the eight spectrometric wavelength ranges in accordance with the scheme shown in Fig. 1 and the description in Section 3,

ηL=SSIL(λ)/SIL(λ).
SSIL(λ)–spectrometric signal of the standard radiation source in the laboratory and SIL(λ)–laboratory spectral irradiance entering the aperture of the SP.

Stray light as well as the higher orders of radiation are determined on the basis of recordings of monochromatic radiation. This makes full profiles for both parameters with their respective wavelengths available, which can be used to correct their contributions to the recorded spectra. Filters fulfill the same role throughout the spectral regions of interest. This is a big advantage of this measuring method over other SSI SPs, which do not use filters.

Applying continuum radiation, data evaluation software is developed using the filters and defining their bandwidths to achieve proper SNR for the TSI DARA and BOS detectors. The spectral range from about 150 to 250 nm is key for achieving first-approach efficiency data.

The calibration parameters derived in the laboratory are not considered sufficiently accurate for the space mission: The radiation sources do not fully reproduce SSI. Additionally, through integration into the spacecraft, their qualifications with thermal cycling and vibrational tests, transportation to the launch, and the launch itself, the calibration parameters undergo changes from the moment they are set in the laboratory up until first being applied in space [17]. The instruments also remain under significantly changing environmental conditions for several months without any chance of recalibration.

B. Calibration in Space

During the commissioning phase, the laboratory procedures and the expected SSI signals must be checked and adapted to conditions in space.

After testing the functional parameters in terms of housekeeping data and spectral scans with and without filters, DARA, IC, PMT, and BOS recordings will help to update the laboratory efficiency curves, allowing SSI data to be derived directly from the SP recordings.

In order to update the smooth efficiency curves ηSPACE, three to five filters are chosen for each SP, depending on the wavelength range (see Section 3.A),

ηSPACE(λ,Δλ)=SSSI(λ,Δλ)/SSI(λ,Δλ).
SSSI(λ,Δλ)–spectrometric signal of the SSI centered at λ and SSI(λ,Δλ)–SSI entering the aperture of the SP centered at λ.

The filters are not required to completely cover the spectral ranges because interpolation from one spectral range of the filters to the other is sufficient due to the smoothness of the efficiency curves.

Depending on the SNR for different spectral regions, the sequences and repetition rates will be optimized such that filter intervals of lower SSI throughput will receive higher measuring repetition rates.

C. SOLACER: Internal Cross-Calibration

Internal cross-calibration is one of the keys to achieving high data accuracy. There are quite a few possibilities.

It is of utmost importance to cross-calibrate the secondary irradiance detectors to the DARAs and ICs in order to take advantage of the BOS and PMT detectors’ increased sensitivity. This provides substantially higher accuracy in the spectral regions where SSI energy is too low for the DARAs to generate useful signals. We call this procedure “BOS and PMT detector bridging from DARA to IC technologies” between about 120 and 250 nm of SSI.

With reference to Table 1, there are three spectral ranges overlapping with the neighboring SPs at both the outer and inner ring of the filter wheel. So, a further task is to choose three filters that will cover each of these overlaps for cross-calibration purposes.

Different gases with overlapping ranges of ionization (Fig. 4) add to the internal cross-calibration capabilities, among other things.

Both DARAs are also operated in the TSI mode, enabling cross-checking with data from other TSI missions and comparison with integral SSI data.

D. Operations in Orbit

The possibility of collecting data at eight SPs, two DARAs, and two BOSs simultaneously offers the chance to record a great number of SSI spectra and provides long periods of time for calibration, which is useful for allocating longer measuring periods for spectral intervals with lower SNR.

The commissioning phase will also be used to check the statistics of the spectral DARA and BOS recordings in order to expand on the measuring sequences, which is important for optimizing how the four parameters of filter bandwidth, the period and repetition of measurements, aperture size, and detector sensitivity interact to determine the accuracy of the SSI data. One example is elaborated in Table 4. For absolute calibration, one IC measurement per day (or even per week) is sufficient at the beginning of the mission. After the first six months, execution of the calibration mode can be reduced to every second week. The same is valid for the DARA measurements. However, selected intervals such as that of 150–250 nm are calibrated more frequently than others.

Tables Icon

Table 4. SOLACER Expected Accuracy with DARA, IC, BOS, and PMT Detectors

In general, calibration will be achieved on demand.

To evaluate and compare data recorded at different times, a solar EUV activity sensor (SEPS) is operated continuously with a temporal resolution of 0.1 s (see Section 4.F).

E. Expected Accuracy Achievement

SOLACER SSI SPs operate at relatively high levels of data statistics [11,23], providing high-precision data at high SNRs (see also Table 2).

The realization of the SOLACER instrumentation shows great promise for substantially improving the insertion of TSI detectors and ICs that remain stable in the long term:

State-of-the-art TSI radiometers have accomplished an absolute accuracy of 0.3Wm2 or 2.2*104 [20,21], and ICs reach an absolute accuracy of 5% regarding expected accuracy levels, as summarized in Table 4.

A TSI DARA detector generates a minimal useful signal of SSSImin(r=5mm)=0.5Wm2 with a circular aperture of 5 mm diameter of A5=19.6mm2. Implementing an aperture of 8 mm diameter with A8=50mm2, the minimal useful signal is

SSSImin(r=8mm)=SSSImin(r=5mm)*(A5/A8)=0.195Wm2,
with a noise level
ΔSSIDARA=SSSImin/2=0.1Wm2,
and a dynamic range DRDARA,
DRDARA=TSI/SSSImin(r=8mm)=1362Wm2/0.195Wm27000.
Table 4 presents a first approach to real measurements with wavelength λ (first column), SSI(λ) (second column according to the composite SSI-ATL3 table [30]) and a selected filter bandwidth ΔλF(λ) (third column) centered at λ. The fourth column contains the SSI(λ,ΔλF) passing the filter
SSI(λ,ΔλF)=SSI(λ)*ΔλF.
DARA measurements are timed at 15 s periods (shutter on and off, each), recording signals every 30 s at a noise level of ΔSSIDARA=0.1Wm2. In order to generate a signal SDARA(λ,ΔλF) at 400 nm,
SSI(λ,ΔλF)=(34.4±0.1)Wm2,
with an accuracy 0.1/34.40.003<1% (fifth column, left subcolumn). Because most of the filters provide about 80% transmission, this rather small difference is neglected here.

To achieve calibrated SSI data with a statistical noise <1%, the filter bandwidths ΔλF and the number of repeated measurements N are the parameters to be optimized. For wavelengths >290nm, each signal of DARA shows an accuracy <1%. Below 290 nm, the measurements are to be repeated. Supposing satellite orbits of 90 min with a sunlit period of 45 min, N=2*45=90 accumulated data points (fifth column, mid-subcolumn) are recorded providing signals

SDARA(λ,ΔλF,N)=SSI(λ)*ΔλF*N.
For large N, the number of orbits nO required for N measurements is listed (fifth column, right subcolumn). The expected accuracies of the BOS, PMT, and IC detectors are shown in Table 4, too (sixth column, left, mid- and right subcolumn, respectively) taking into account the larger dynamical ranges of BOS with respect to DARA (106/7000143) and similarly with respect to PMT.

The accuracy of filter transmission is significantly <1%, based on the SNR>104. For the circular size of the aperture with ±10μm uncertainty, the accuracy is 1%.

The higher sensitivity of the internally cross-calibrated BOSs allows a direct bridging from 300 to 126 nm where the ICs are operated. This way, bridging from the VIS to the EUV spectral regions is a central point of SOLACER measuring technique to improve the accuracy of the SSI in the VUV spectral range.

Solar modeling delivers another important tool to increase accuracy, especially of the bridged VUV spectral range, relating the different spectral ranges to each other over the TSI.

Having in mind that up to 16 orbits per day will be available, there is a lot of time to recalibrate SPs every month–a comfortable possibility in view of the slowly changing efficiency parameters during long-term missions. Strongest efficiency changes occur during the launch and first weeks in operation.

Absolute calibration checks shall also be done comparing the sum of the spectral SSI data to TSI. Though this is quite a complex procedure, it shall be developed for stepwise approaches.

Since planar grating SPs of SOLACER would become too large, providing very high spectral resolution, and since traditional SSI SPs (Section 2.A) do not meet the requirements for absolute calibration, a combination of SOLACER and a high-resolution SP would be a good choice for covering the full SSI spectral ranges.

F. Special Features to Increase SOLACER Capabilities

If a planar EUV and plasma sensor of 6 cm diameter and about 150 g recording the integral EUV fluxes at 0.1 s temporal resolution [17] will be inserted, solar activity can be observed, adding to the data evaluation, for example, to recognize and correct for short-term SSI fluctuations.

This EUV and plasma sensor and the SPs will also record proton events and background signals from the Atlantic Anomaly [31], providing measures to correct SSI data, if required.

In the IR spectral region, correction of the thermal background emitted from the filters during the DARA and BOS measurements can be determined with obstacles in front of the filters, stopping the SSI heating up the filters while the obstacles will be moved back and forth at different periods during test orbits. The change from the sunny to the shadow sides will also provide information on the thermal contribution of the filters to the DARA and BOS signals.

Wavelength determination will be achieved by small laser diodes, narrowband LEDs, irradiating mechanical holes, hollow cathode lamps operated with idle gases such as argon, and other devices.

5. SUMMARY AND CONCLUSIONS

From the systematic reanalysis of the requirements for future SSI observations, it is concluded that neither laboratory precalibration nor standard radiation sources in space can accurately determine degradation of SSI SPs. Correcting the data for degradation with the natural radiation source of the Sun is an important requirement to accomplish SSI data of high accuracy, leading to the expansion of the SolACES SP system to measure the SSI radiation from the XUV to the IR spectral regions and to repeatedly recalibrate the SPs. The SolACES instrument has been operating for nine years aboard the ISS while extremely strong degradation was experienced. It was corrected by the experimental resources with ICs aboard. Based on the same principle of degradation correction, a new instrument, SOLACER, has been designed to cover the (2)-17-2800 nm spectral range by adding two radiometers (DARA), two BOSs, and two PMTs. Bridging the DARA and the IC spectral ranges of sufficient strength of their signals and applying internally cross-calibration BOS and PMT techniques are key to the performance of SOLACER. It is expected that this new instrument for SSI and TSI measurements will provide data with an unprecedented accuracy also for 11-year missions and beyond. SOLACER is considered the first autocalibrating SSI system based on primary irradiance detectors. Given the state-of-the art accuracy of 2*104 for the TSI detectors and 5*102 for the ICs, the accuracy numbers listed in Table 4 shall be improved further for next-generation instruments to approach 103 accuracy. Also, 5*102 for the ICs is not a physical limitation of IC accuracy.

Taking into account this future outlook, there is a good potential for SOLACER serving as a reference for other SSI SPs in space.

In the fields of solar, solar-terrestrial, atmospheric, and climate physics, an optimal payload for SSI measurements will comprise SOLACER, a high-resolution SP to be cross-calibrated by SOLACER and a TSI instrument.

Because TSI and BOS detectors are also well suited to observe the Earth IR and the reflected solar radiation, a combined payload of solar-oriented TSI and SSI instruments and terrestrial-oriented TSI and BOS sensors provides a good opportunity to acquire high-quality data sets for climate modeling with respect to the solar-terrestrial energy balance–a compact payload <70kg well suited aboard a platform like the Airbus DS Astrobus S line.

Acknowledgment

We acknowledge the constructive discussions with Gerard Thuillier. Margit Haberreiter acknowledges support by Daniel Karbacher, and the first author acknowledges the support by the Fraunhofer Institute for Physical Measuring Techniques. Gerhard Schmidtke is deeply thankful for OSA's very thorough work and great support.

REFERENCES

1. C. Jacobi, N. Jakowski, G. Schmidtke, and T. N. Woods, “Delayed response of the global total electron content to solar EUV variations,” Adv. Radio Sci. 14, 175–180 (2016). [CrossRef]  

2. G. Schmidtke, “Modelling of the solar extreme ultraviolet irradiance for aeronomic applications,” in Geophysics, Vol. 49/7 of Encyclopedia of Physics (Springer, 1984), pp. 1–55.

3. G. Schmidtke, N. Börsken, and G. Sünder, “Variability of solar EUV fluxes and exospheric temperatures,” J. Geophys. 49, 146–148 (1981).

4. S. C. Solomon, H.-L. Liu, D. R. Marsh, J. M. McInerney, L. Qian, and F. M. Vitt, “Whole atmosphere simulation of anthropogenic climate change,” Geophys. Res. Lett. 45, 1567–1576 (2018). [CrossRef]  

5. B. Nikutowski, R. Brunner, C. Erhardt, S. Knecht, and G. Schmidtke, “Distinct EUV minimum, of the solar irradiance (16–40 nm) observed by SolACES spectrometers onboard the International Space Station (ISS) in August/September 2009,” Adv. Space Res. 48, 899–903 (2011). [CrossRef]  

6. K. Matthes, B. Funke, M. E. Andersson, L. Barnard, J. Beer, P. Charbonneau, M. A. Clilverd, T. Dudok de Wit, M. Haberreiter, A. Hendry, C. H. Jackman, M. Kretzschmar, T. Kruschke, M. Kunze, U. Langematz, D. R. Marsh, A. C. Maycock, S. Misios, C. J. Rodger, A. A. Scaife, A. Seppälä, M. Shangguan, M. Sinnhuber, K. Tourpali, I. Usoskin, M. van de Kamp, P. T. Verronen, and S. Versick, “Solar forcing for CMIP6 (v3.2),” Geosci. Model Dev. 10, 2247–2302 (2017). [CrossRef]  

7. World Meteorological Organization, “The global observing system for climate: implementation needs,” GCOS-200 (GOOS-214) (2016), https://library.wmo.int/doc_num.php?explnum_id=3417.

8. M. Haberreiter, M. Schöll, T. Dudok de Wit, M. Kretzschmar, S. Misios, K. Tourpali, and W. A. Schmutz, “A new observational solar irradiance composite,” J. Geophys. Res. 122, 5910–5930 (2017). [CrossRef]  

9. G. Cessateur, W. Schmutz, C. Wehrli, J. Gröbner, M. Haberreiter, M. Kretzschmar, E. Rozanov, M. Schöll, A. Shapiro, G. Thuillier, T. Egorova, W. Finsterle, N. Fox, J.-F. Hochedez, S. Koller, M. Meftah, P. Meindl, S. Nyeki, D. Pfiffner, H. Roth, M. Rouzé, M. Spescha, R. Tagirov, L. Werner, and J.-U. Wyss, “Solar irradiance observations with PREMOS filter radiometers on the PICARD mission: in-flight performance and data release,” Astron. Astrophys. 588, A126 (2016). [CrossRef]  

10. G. Thuillier, J. W. Harder, A. Shapiro, T. N. Woods, J.-M. Perrin, M. Snow, T. Sukhodolov, and W. Schmutz, “The infrared solar spectrum measured by the SOLSPEC spectrometer onboard the International Space Station,” Solar Phys. 290, 1581–1600 (2015). [CrossRef]  

11. G. Schmidtke, B. Nikutowski, C. Jacobi, R. Brunner, C. Erhardt, S. Knecht, J. Scherle, and J. Schlagenhauf, “Solar EUV irradiance measurements by the auto-calibrating EUV spectrometers (SolACES) aboard the International Space Station (ISS),” Solar Phys. 289, 1863–1883 (2014). [CrossRef]  

12. R. Schäfer, G. Schmidtke, and R. Brunner, “Experiences with a three-current ionization chamber as primary detector standard for absolute calibration in space,” Appl. Opt. 57, 6851–6859 (2018). [CrossRef]  

13. G. Thuillier, T. Foujols, D. Bolsée, D. Gillotay, M. Hersé, W. Peetermans, W. Decuyper, H. Mandel, P. Sperfeld, S. Pape, D. R. Taubert, and J. Hartmann, “SOLAR/SOLSPEC: scientific objectives, instrument performance and its absolute calibration using a blackbody as primary standard source,” Solar Phys. 257, 185–213 (2009). [CrossRef]  

14. J. W. Harder, G. Thuillier, E. C. Richard, S. W. Brown, K. R. Lykke, M. Snow, W. E. McClintock, J. M. Fontenla, T. N. Woods, and P. Pilewskie, “The SORCE SIM solar spectrum: comparison with recent observations,” Solar Phys. 263, 3–24 (2010). [CrossRef]  

15. W. E. McClintock, M. Snow, and T. N. Woods, “Solar-stellar irradiance comparison experiment II (SOLSTICE II): pre-launch and on-orbit calibrations,” Solar Phys. 230, 259–294 (2005). [CrossRef]  

16. J. P. Delaboudinière, R. F. Donnelly, H. E. Hinteregger, G. Schmidtke, and P. C. Simon, “Intercomparison/compilation of relevant solar flux data related to aeronomy,” COSPAR Technique Manual Series No 7 (1978).

17. G. Schmidtke, “Extreme ultraviolet spectral irradiance measurements since 1946,” Hist. Geo Space Sci. 6, 3–20 (2015). [CrossRef]  

18. G. Schmidtke, “Solar XUV measurements with in-flight calibration needed for aeronomy,” Space Res. 16, 229–233 (1976).

19. G. Schmidtke, R. Brunner, D. Eberhard, B. Halford, U. Klocke, M. Knothe, W. Konz, W.-J. Riedel, and H. Wolf, “Sol-ACES: auto-calibrating EUV/UV spectrometers for measurements onboard the International Space Station,” Adv. Space Res. 37, 273–282 (2006). [CrossRef]  

20. W. T. Ball, W. Schmutz, A. Fehlmann, W. Finsterle, and B. Walter, “Assessing the beginning to end-of-mission sensitivity change of the PREcision MOnitor Sensor total solar irradiance radiometer (PREMOS/PICARD),” J. Space Weather Space Clim. 6, A32 (2016). [CrossRef]  

21. W. T. Ball, J. D. Haigh, E. V. Rozanov, A. Kuchar, T. Sukhodolov, F. Tummon, A. V. Shapiro, and W. Schmutz, “High solar cycle spectral variations inconsistent with stratospheric ozone observations,” Nat. Geosci. 9, 206–209 (2016). [CrossRef]  

22. G. Schmidtke, P. Seidl, and C. Wita, “Airglow-solar spectrometer instrument 20-700 nm aboard the San Marco D/L satellite,” Appl. Opt. 24, 3206–3213 (1985). [CrossRef]  

23. D. E. Bedo and H. E. Hinteregger, “Collimating grating monochromators for the vacuum ultraviolet,” Jpn. J. Appl. Phys. 4, 473–477 (1965). [CrossRef]  

24. H. E. Hinteregger, D. E. Bedo, and J. E. Manson, “The EUV spectrophotometer on atmospheric explorer,” Radio Sci. 8, 349–359 (1973). [CrossRef]  

25. G. Schmidtke, Schweizer, and M. Knothe, “The AEROS-EUV spectrometer,” Z. Geophys. 40, 577–584 (1974).

26. R. Schäfer, G. Schmidtke, T. Strahl, M. Pfeifer, and R. Brunner, “EUV data processing methods of the solar auto-calibrating EUV spectrometers (SolACES) aboard the International Space Station,” Adv. Space Res. 59, 2207–2228 (2017). [CrossRef]  

27. R. Schäfer, “Characterization of gas-based absolute detectors for the EUV energy range,” Ph.D. dissertation (Albert-Ludwigs-Universität Freiburg i. Br., 2017).

28. W. S. Finsterle, W. S. Koller, I. Beck, M. Spescha, M. Suter, B. Walter, and W. Schmutz, “The new TSI radiometer CLARA,” Proc. SPIE 9264, 926415 (2014). [CrossRef]  

29. P. Zhu, M. van Ruymbeke, Ö. Karatekin, J.-P. Noël, G. Thuillier, S. Dewitte, A. Chevalier, C. Conscience, E. Janssen, M. Meftah, and A. Irbah, “A high dynamic radiation measurement instrument: the Bolometric Oscillation Sensor (BOS),” Geosci. Instrum. Method. Data Syst. 4, 89–98 (2015). [CrossRef]  

30. G. Thuillier, L. Floyd, T. N. Woods, R. Cebula, E. Hilsenrath, M. Hersé, and D. Labs, Solar Variability and Its Effect on Climate, J. Pap, P. Fox, and C. Frölich, eds., Vol. 141 of Geophysical monograph (American Geophysical Union, 2004), pp. 171–194.

31. G. Knoll, K. Holzer, and G. Schmidtke, “Spatial shift of the south Atlantic anomaly,” J. Geophys. Res. 82, 5281–5282 (1977). [CrossRef]  

Cited By

Optica participates in Crossref's Cited-By Linking service. Citing articles from Optica Publishing Group journals and other participating publishers are listed here.

Alert me when this article is cited.


Figures (6)

Fig. 1.
Fig. 1. Scheme of the SOLACER subsystems (see also Section 3.A): The SP (green rectangle on the left) consists of a planar grating, a parabolic mirror, and a detector. Spectral recording is carried out while the grating turns. When SSI enters the SP through the open aperture (white rectangle in the filter wheel on the left below SSI), the signal S SSI ( λ ) is generated. When a filter (red rectangle in the filter wheel on the left below SSI) is turned around and placed on the top SSI SP, the corresponding signal is S SSIF ( λ ) . The detectors are operated with filters. For cross-calibrating the DARA detectors with outer TSI devices or for cross-checking the BOS detectors, these detectors are operated without filters.
Fig. 2.
Fig. 2. Scheme of the SOLACER subsystems (top view).
Fig. 3.
Fig. 3. Scheme of the IC and a graph of currents generated in the front and rear ionization area and in the photodiode.
Fig. 4.
Fig. 4. Primary and secondary production of ion-electron pairs for different absorbing gases in the IC.
Fig. 5.
Fig. 5. Left panel, three cavity detectors from DARA mounted to a common heat sink. The cavities are painted black on the inside and gold on the outside. The solar irradiance is absorbed inside the cavities (irradiance originates from the top right corner); adapted from [28]. Right panel, DARA working principle. (a) The reference cavity is always shielded from sunlight and heated electrically ( P Reference ) via a constant power of 45 mW . The temperatures in the three cavities (TNC, TRC, and TBC) and the heat sink (THS) are constantly measured. The control circuit continuously adjusts the electrical heater power in the nominal and backup cavities to maintain the heat flux QNC and QBC identical to that of the reference cavity (QRC). (b) To measure irradiance, the shutter in front of the nominal cavity is opened, and the absorbed sunlight results in the cavity additionally being optically heated, so that less electrical power is required to keep the thermal flux QNC identical to QRC. The optical power in the nominal cavity is then equal to the difference between the electrical heater power in the closed ( P closed ) and the open ( P open ) shutter states. The solar irradiance is then defined as I S = ( P closed P open ) / A , with A being the aperture area.
Fig. 6.
Fig. 6. Schematic layout of the original BOS setup on the PICARD satellite.

Tables (4)

Tables Icon

Table 1. SP Properties: All Planar Gratings Have the Same Geometrical Size, While the Number of Lines/mm and the Coating Materials Differ

Tables Icon

Table 2. PMT Estimated Counts per Second for Hamamatsu PMT R13096

Tables Icon

Table 3. SNR Calculation for a PbS-IR Detector of a Generic D *= 1.5 × 10 9 cm Hz 1 / 2 / W and an Integration Time of 1 s and an Area of 50 mm 2 , Yielding a noise equivalent power (NEP) of 4.7 × 10 10 W

Tables Icon

Table 4. SOLACER Expected Accuracy with DARA, IC, BOS, and PMT Detectors

Equations (12)

Equations on this page are rendered with MathJax. Learn more.

T ( λ , Δ λ ) = S SSIF ( λ , Δ λ ) / S SSI ( λ , Δ λ ) .
SSI DARA ( λ , Δ λ F ) = S DARAF ( λ , Δ λ F ) / T ( λ , Δ λ ) ,
SSI IC ( λ , Δ λ F ) = S ICF ( λ , Δ λ F ) / T ( λ , Δ λ ) .
Φ ( Δ λ F ) = ( I f + I r ) / e ,
η L = S SIL ( λ ) / S I L ( λ ) .
η SPACE ( λ , Δ λ ) = S SSI ( λ , Δ λ ) / SSI ( λ , Δ λ ) .
S SSImin ( r = 8 mm ) = S SSImin ( r = 5 mm ) * ( A 5 / A 8 ) = 0.195 W m 2 ,
Δ SSI DARA = S SSImin / 2 = 0.1 W m 2 ,
DR DARA = TSI / S SSImin ( r = 8 mm ) = 1362 W m 2 / 0.195 W m 2 7000.
SSI ( λ , Δ λ F ) = SSI ( λ ) * Δ λ F .
SSI ( λ , Δ λ F ) = ( 34.4 ± 0.1 ) W m 2 ,
S DARA ( λ , Δ λ F , N ) = SSI ( λ ) * Δ λ F * N .
Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.