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POLARIZATION SPECTRUM OF NEAR INFRARED ZODIACAL LIGHT
OBSERVED WITH CIBER

Kohji Takimoto Department of Physics, School of Science and Technology, Kwansei Gakuin University, Hyogo 669- 1337, Japan Toshiaki Arai Department of Infrared Astrophysics, Institute of Space and Astronautical Science (ISAS), Japan Aerospace Exploration Agency (JAXA), Sagamihara, Kanagawa 252-5210, Japan Shuji Matsuura Department of Physics, School of Science and Technology, Kwansei Gakuin University, Hyogo 669- 1337, Japan James J. Bock Department of Physics, California Institute of Technology, Pasadena, CA 91125, USA Jet Propulsion Laboratory (JPL), National Aeronautics and Space Administration (NASA), Pasadena, CA 91109, USA Asantha Cooray Center for Cosmology, University of California, Irvine, Irvine, CA 92697, USA Richard M. Feder Department of Physics, California Institute of Technology, Pasadena, CA 91125, USA Phillip M. Korngut Department of Physics, California Institute of Technology, Pasadena, CA 91125, USA Alicia Lanz The Observatories of the Carnegie Institution for Science, Pasadena, CA 91101, USA Dae Hee Lee Korea Astronomy and Space Science Institute (KASI), Daejeon 305-348, Korea Toshio Matsumoto Department of Infrared Astrophysics, Institute of Space and Astronautical Science (ISAS), Japan Aerospace Exploration Agency (JAXA), Sagamihara, Kanagawa 252-5210, Japan Chi H. Nguyen Department of Physics, California Institute of Technology, Pasadena, CA 91125, USA Yosuke Onishi Department of Infrared Astrophysics, Institute of Space and Astronautical Science (ISAS), Japan Aerospace Exploration Agency (JAXA), Sagamihara, Kanagawa 252-5210, Japan Kei Sano Department of Space Systems Engineering, School of Engineering, Kyushu Institute of Technology, Fukuoka 804-8550, Japan Mai Shirahata Department of Infrared Astrophysics, Institute of Space and Astronautical Science (ISAS), Japan Aerospace Exploration Agency (JAXA), Sagamihara, Kanagawa 252-5210, Japan Aoi Takahashi Astrobiology Center, National Institutes of Natural Sciences, Mitaka, Tokyo 181-8588, Japan Kohji Tsumura Department of Natural Science, Faculty of Science and Engineering, Tokyo City University, Setagaya, Tokyo, 158-8557, Japan Michael Zemcov Center for Detectors, School of Physics and Astronomy, Rochester Institute of Technology, Rochester, NY 14623, USA
Abstract

We report the first measurement of the zodiacal light (ZL) polarization spectrum in the near-infrared between 0.8 and 1.8 μ\mum. Using the low-resolution spectrometer (LRS) on board the Cosmic Infrared Background Experiment (CIBER), calibrated for absolute spectrophotometry and spectropolarimetry, we acquire long-slit polarization spectral images of the total diffuse sky brightness towards five fields. To extract the ZL spectrum, we subtract contribution of other diffuse radiation, such as the diffuse galactic light (DGL), the integrated star light (ISL), and the extragalactic background light (EBL). The measured ZL polarization spectrum shows little wavelength dependence in the near-infrared and the degree of polarization clearly varies as a function of the ecliptic coordinates and solar elongation. Among the observed fields, the North Ecliptic Pole shows the maximum degree of polarization of \sim 20%\%, which is consistent with an earlier observation from the Diffuse Infrared Background Experiment (DIRBE) aboard on the Cosmic Background Explorer (COBE). The measured degree of polarization and its solar elongation dependence are reproduced by the empirical scattering model in the visible band and also by the Mie scattering model for large absorptive particles, while the Rayleigh scattering model is ruled out. All of our results suggest that the interplanetary dust is dominated by large particles.

Infrared astronomy (786), Zodiacal cloud (1845), Interplanetary dust (821), Spectropolarimetry (1973), Cosmic background radiation (317), Diffuse radiation (383)
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1 Introduction

The zodiacal light (ZL) arises from sunlight scattered by the interplanetary dust (IPD) in the optical and the near-infrared , and from thermal emission from IPD in the mid- and far-infrared . Measuring the ZL is important for understanding the structure of the IPD distribution and physical properties of the IPD, such as their size distribution, composition, shape, and complex refractive index. In addition, information obtained from ZL measurements is important for future studies of dust disks of exoplanetary systems. . Because the IPD grains of these sizes fall into the Sun , IPD dating to the early solar system is unlikely to exist today. A continuous supply of IPD particles is necessary to maintain the zodiacal cloud.

The source of the IPD is assumed to comprise both comets and asteroids, but the relative importance of each has not been settled. Nesvorný et al. (2010, 2011) compared their dynamical simulations of the IPD with the Infrared Astronomical Satellite (IRAS) data suggesting that 85 95%\sim 95\% of the observed mid-infrared emission is produced by particles from Jupiter-family comets (JFCs) and <10%<10\% by dust from long-period comets. Fernández et al. (2006) showed that the geometric albedo of comet 162P/Siding Spring (P/2004 TU12), which is largest radii among known JFCs, is 0.059±0.0230.059\pm 0.023 in H band, 0.037±0.0140.037\pm 0.014 in R band, and 0.034±0.0130.034\pm 0.013 in V band. Soderblom et al. (2002) also observed the JFC 19P/Borrelly and derived a geometric albedo of 0.03±0.050.03\pm 0.05. The IPD is also known to be a low albedo (Kelsall et al., 1998) and has similarities to the comet nucleus. Yang & Ishiguro (2015) derived the spectral gradient of IPDs as S=8.5±1.0%/100S^{\prime}=8.5\pm 1.0\%/100 nm at 460 nm, and combining with the albedo showed that >90%>90\% of the IPDs originate from comets or D-type asteroids. The ZL spectra measured by the Near Infrared Spectrometer (NIRS) on board the Infrared Telescope in Space (IRTS) and the Cosmic Infrared Background Experiment (CIBER) show silicate-like features at 0.9 and 1.6 μ\mum (Matsumoto et al., 1996; Tsumura et al., 2010), comparable to fresh and active comets or S-type asteroids. A combination of amorphous and crystalline silicate grain features is found in ZL spectrum between 9 and 11μ\mum (Ootsubo et al., 1998; Reach et al., 2003; Ootsubo et al., 2009).

The ZL scattered by an optically thin cloud of IPDs presents a systematic polarization. The linear polarization degree PP of sunlight scattered by IPD surfaces is usually defined as the difference between the intensities polarized along the planes perpendicular, II_{\perp}, and parallel, II_{\parallel}, to the scattering plane:

P=III+I.P=\frac{I_{\perp}-I_{\parallel}}{I_{\perp}+I_{\parallel}}.

According to Kelsall et al. (1998), the ZL intensity IλI_{\lambda} observed at wavelength λ\lambda as the integral along the line of sight ss is expressed as:

I,λ=n(X,Y,Z)AλFλΦ,λ(Θ)𝑑s,I_{\perp,\lambda}=\int{n(X,Y,Z)A_{\lambda}F^{\odot}_{\lambda}\Phi_{\perp,\lambda}(\Theta)}ds,
I,λ=n(X,Y,Z)AλFλΦ,λ(Θ)𝑑s,I_{\parallel,\lambda}=\int{n(X,Y,Z)A_{\lambda}F^{\odot}_{\lambda}\Phi_{\parallel,\lambda}(\Theta)}ds,

where n(X,Y,Z)n(X,Y,Z) is the three-dimensional density of the IPD, AλA_{\lambda} is the albedo at wavelength λ\lambda, FλF^{\odot}_{\lambda} is the solar flux, and Φλ(Θ)\Phi_{\lambda}(\Theta) is the phase function at scattering angle Θ\Theta. Since the polarization properties of scattered light depend on the scattering angle and the composition of the IPD, the origin of the IPD can be investigated by the polarization spectrum of ZL at various fields. For example, the cometary dust ejected from comets is studied by polarization measurements. Zubko et al. (2014) studied dust in comet C/1975 V1 (West) and reproduced the polarization measurement by models with Mg-rich silicate and amorphous carbon. Lasue et al. (2009) also studied dust of comet C/1995 O1 Hale-Bopp and 1P/Halley based on the polarization measurement and implied that the cometary dust can be explained by mixture of a non-absorbing silicate-type material and a more absorbing organic-type material.

A few studies report polarization measurements of the ZL. Leinert et al. (1998) summarized the ZL polarization measured from space in the visible and the near-infrared, and the degree of polarization is largely dependent on the helio-ecliptic longitude to first order. At visible wavelengths, and shows little wavelength dependence (Weinberg & Hahn, 1980; Pitz et al., 1979; Leinert & Blanck, 1982). In the near-infrared, only Berriman et al. (1994) has measured the polarization of the ZL from space by the Diffuse Infrared Background Experiment (DIRBE) aboard on the Cosmic Background Explorer (COBE) in discrete photometric bands at 1.25, 2.2, and 3.5 μ\mum. This result shows that the degree of polarization of the ZL is about 10 20%\sim 20\% at solar elongation ϵ\epsilon = 90.

In this paper, we report a ZL polarization spectrum measurement from the Low Resolution Spectrometer (LRS) onboard CIBER. The purpose of polarization observation by LRS was to separate polarized ZL from unpolarized EBL, and to identify spectral features by studying the wavelength dependence of polarization. Our result is the first measurement of the ZL polarization spectrum in the near-infrared.

2 LOW RESOLUTION SPECTROMETER/CIBER

Refer to caption
Figure 1: The LRS optics and wire-grid polarizing films. The LRS has five slits. The wire-grid polarizing films (orange) are installed on the slit mask except for the center slit. The transmittance axes are indicated by the black arrows. The direction of the transmittance axes are defined as θ=0,45,90,135\theta=0^{\circ},45^{\circ},90^{\circ},135^{\circ}.
Table 1: Observed Fields of the CIBER Third Flight
Exposure Payload’s Ecliptic Galactic Equatorial Solar Elong. ZL model
Field Name Time Altitude (λ\lambda, β\beta) (ll, bb) (α\alpha, δ\delta) ϵ\epsilon λIZLmodel\lambda I_{\rm ZL_{model}}
(s) (km) (deg) (deg) (deg) (degree) (nW m-2 sr-1)
Lockman Hole 47 202-265 (135.42, 45.49) (149.41, 51.97) (161.43, 58.21) 118.8 330.23
SWIRE/ELAIS-N1 45 284-315 (209.32, 72.32) (84.31, 44.71) (242.81, 54.59) 105.7 269.12
North Ecliptic Pole (NEP) 53 320-324 (311.48, 89.62) (96.06, 29.56) (270.63, 66.28) 90.0 280.55
Elat30 (β\beta = 30 degree) 26 319-306 (234.38, 29.25) (18.64, 44.89) (236.98, 9.57) 124.1 403.53
BOOTES-B 50 296-244 (200.35, 44.82) (55.13, 68.06) (217.30, 33.27) 132.3 328.47
aafootnotetext: The coordinate systems are based on J2000.
bbfootnotetext: The ZL brightness is estimated by using the ZL model (Kelsall et al., 1998) at 1.25 μ\mum.

CIBER, designed to study the diffuse near-infrared emission above the Earth’s atmosphere (Zemcov et al., 2013), housed three instruments including a two broad-band imagers (Bock et al., 2013), a narrow band spectrometer (Korngut et al., 2013), as well as the LRS designed to measure the spectrum of diffuse light in 0.8λ\leq\lambda\leq 1.8 μ\mum (Tsumura et al., 2013) with a wavelength resolution of λ/Δλ=15\lambda/\Delta\lambda~{}=~{}15-30. Fore optics of the LRS brings an image of the sky to focus on a mask containing 5 slits as shown in Figure 1, each spanning a field of view (FOV) of 5×{}^{\circ}\times2.7 sampled by a 256×\times256 pixel HgCdTe array. This array hosts a cold shutter assembly for dark current measurement.

CIBER conducted observations four times, on February 2009, July 2010, March 2012, and June 2013. The payload was successfully recovered and refurbished after the first three flights. Because the polarizers were only installed in the third flight, we mainly use the third flight data in this paper. At the third flight, we used NASA Black Brant IX111For details on the launch vehicles, Sounding rocket handbook (http://sites.wff.nasa.gov/code810/files/SRHB.pdf). two-stage vechicles launched from the White Sands Missile Range in New Mexico, USA. The apogee on the flight was 330km, providing a total exposure time of \sim 240 seconds. The raw data, which are non-destructively sampled by the integrating detectors, were telemetered to the ground from the rocket during the flight. The celestial attitude control system achieved a pointing stability of << 8′′. Details about the CIBER payload and flight performance are written in Zemcov et al. (2013). See Tsumura et al. (2013) and Arai et al. (2015) for details of the LRS.

To measure the polarization spectrum, we installed wire-grid polarization film 222Manufactured by Asahikasei E-materials corporation. on the slit mask. The wire-grid polarization films with different transmittance axis were installed on eight different regions of the slit mask (Figure 1). Although the FOV of each polarizer is different, the ZL is smoothly distributed over the entire FOV and small field-to-field fluctuations if any can be corrected for. Therefore, if the integrated star light (ISL) and diffuse galactic light (DGL) can be removed, ZL polarization can be measured with this instrument.

The phase angles of the transmittance axis of the polarizer are labeled as θ\theta = 0,45,90,1350^{\circ},45^{\circ},90^{\circ},135^{\circ} (Figure 1). Note that the polarizing film in the lower left corner was mistakenly installed with the transmission axis rotated by 90 degrees during the final installation, but it was calibrated and launched as it was. Because the polarizing films were not installed on the center slit, the total spectrum of the sky brightness was also measured.

The observed fields are listed in Table 1. For the ZL analysis, the fields are selected based on ecliptic coordinates and solar elongation. The low ecliptic latitude field, Elat30, shows high ZL brightness. On the other hand, the high ecliptic latitude fields exhibit low ZL brightness. The North Ecliptic Pole (NEP) field, where the solar elongation is 90, is selected because the polarization is expected to be maximum. As the solar elongation increases, the polarization is expected to decrease.

3 INSTRUMENTAL CALIBRATION FOR POLARIMETRY

We describe the wavelength calibration, surface brightness calibration, and flat field correction, and polarization calibration in this section. The wavelength calibration, surface brightness calibration, and flat field correction are similar to Arai et al. (2015).

3.1 Wavelength Calibration

We conduct the wavelength calibration, which measures the relationship between the incident monochromatic light and a position on the detector array. For spectral calibration in the laboratory, we use two different light sources consisting of the SIRCUS (spectral irradiance and radiance responsivity calibrations using uniform sources) laser facility and a standard quartz-tungsten-halogen lamp coupled to a monochrometer. To illuminate the LRS, both light sources are coupled via fiber to an integrating sphere 20 cm in diameter. After exposure to a monochromatic light source, the detected signal is fitted with a Gaussian function. The accuracy of the wavelength calibration is calculated to be ±\pm1 nm by combining the center of this Gaussian function with the externally determined wavelength of the incident light.

3.2 Surface Brightness Calibration

The LRS sensitivity requirement is 10nWm2sr1\rm\sim 10~{}nW~{}m^{-2}~{}sr^{-1}, corresponding to 4% level of the sky brightness. To find the conversion between the photocurrent and the surface brightness, we use two different light sources consisting of the SIRCUS laser facility and a super-continuum laser (SCL). Both light sources coupled to a 20 cm diameter integrating sphere through a fiber illuminating the LRS aperture. The calibration factor is calculated from the measurement results of both light sources. The statistical uncertainty of 1 σ\sigma is estimated to be less than 0.1% from the variance over all pixels of the detector array. The measured calibration factor is consistent within a 3%\% r.m.s variation.

3.3 Flat Field Correction

In order to correct for the spatial fluctuations generated by the detector’s nonuniform response, we use laboratory measurements to construct the flat field. We use three different light sources consisting of the SIRCUS laser facility, SCL, and a standard quartz-tungsten-halogen lamp with a solar-like filter. All light sources are coupled via fiber to an integrating sphere with a diameter of 10 or 20 cm, which then illuminates the aperture of the LRS. By combining various light sources and integrating spheres, we can quantify the systematic uncertainty of the flat field correction. The illumination patterns of the spheres are uniform with an accuracy of less than 1%.

3.4 Polarization Calibration

Refer to caption
Figure 2: Schematic view of the setup for the polarization calibration.
Refer to caption
Figure 3: Measured photocurrent through the polarization filter of θ=0\theta=0^{\circ} as a function of angle of polarization holder ϕ\phi at λ=\lambda=1.00 μ\mum. Because the power of the light source is not stable, the y-axis is normalized by the photocurrent of the center slit. The red asterisks indicate measured data. The black curve indicates best-fit by Equation 2 with the two variables IpolI_{{\rm pol}} and ImeanI_{{\rm mean}}.
Refer to caption
Figure 4: The degree of polarization PpolP_{\rm pol} and the degree of unpolarization PunpolP_{\rm unpol} of LRS measured in the laboratory. The red dashed line indicates the degree of polarization defined by Equation 3. The blue solid line indicates the degree of unpolarization. Each error bar represents the total uncertainty due to the fitting of Equation 2 and polarization calibration.

In order to characterize the polarization measurement, we conduct the polarization calibration in the laboratory. This polarization calibration determined the transmittance, the extinction ratio, and the relative angle of the LRS polarizer in the laboratory. The extinction ratio quantifies the performance of the polarizer and is expressed as

re=PpolPunpol,r_{e}=\frac{P_{\rm pol}}{P_{\rm unpol}}, (1)

where PpolP_{\rm pol} is the polarization degree of the light passing through the polarizer, and PunpolP_{\rm unpol} is the degree of the unpolarization Punpol=1PpolP_{\rm unpol}=1-P_{\rm pol}. The extinction ratio of the polarizer for parallel light was known as >> 1000 in advance, but not for convergent light. The LRS polarizer operates with converging rays, so its extinction ratio needs to be measured in the laboratory before the flight.

A schematic view of the setup for the polarization calibration is shown in Figure 2. A standard quartz-tungsten-halogen lamp is used as light source and is coupled to an integrating sphere through a fiber illuminating the LRS aperture. A 100 mm diameter wire-grid polarizing film is settled between the LRS aperture and the integrating sphere, which is installed on a rotational polarization holder. The polarization holder is rotated around the optical axis of the LRS by 10 step.

In Figure 3, we show the normalized photocurrent measured with the LRS as a function of the angle of the polarization holder ϕ\phi. To quantify the degree of polarization and the extinction ratio, we fit the following equation with the Levenberg-Marquardt algorithm,

I(ϕ,λ)=Ipol(λ)sin2(ϕϕ0(λ))+Imean(λ),I(\phi,\lambda)=I_{{\rm pol}}(\lambda)\sin 2(\phi-\phi_{0}(\lambda))+I_{{\rm mean}}(\lambda), (2)

where IpolI_{{\rm pol}} is the brightness of the polarized component, ImeanI_{{\rm mean}} indicates the mean brightness of the light source, and ϕ0(λ)\phi_{0}(\lambda) represents the phase angle of polarization. The degree of polarization, PpolP_{{\rm pol}} is calculated by the following equation,

Ppol=I(ϕ0+45)I(ϕ045)I(ϕ0+45)+I(ϕ045)=IpolImean.P_{\rm pol}=\frac{I(\phi_{0}+45^{\circ})-I(\phi_{0}-45^{\circ})}{I(\phi_{0}+45^{\circ})+I(\phi_{0}-45^{\circ})}=\frac{I_{\rm pol}}{I_{\rm mean}}. (3)

We show the PpolP_{\rm pol} and PunpolP_{\rm unpol} in Figure 4. Although the PpolP_{\rm pol} for parallel light was larger than 0.999, and PunpolP_{\rm unpol} is then less than 0.001, PpolP_{\rm pol} measured in the experiment is \approx 0.99. It is due to the oblique incident light at the position where the polarization film is installed in the LRS. However, PpolP_{\rm pol} is acceptably small to measure the polarization of ZL and we regard the unpolarized component of 0.01 offset as a systematic uncertainty in the LRS data.

4 BASIC DATA REDUCTION

Refer to caption
Figure 5: LRS raw images of the CIBER third flight in the photocurrent unit taken in each observation field (a: Lockman, b: SWIRE/ELAIS-N1, c: NEP, d: Elat30, e: BOOTES-B). The five vertical sections correspond to the images of the five slits dispersed toward the xx direction, and four parallel sections correspond to wire-grid polarizing films.

At first, we make the LRS image from individual time-ordered array readout frames. In Figure 5, we give examples of the LRS images in the third flight. The five vertical sections correspond to the five slits dispersed in the xx direction, and the four parallel sections correspond to the wire-grid polarizing films.

In order to measure the absolute spectrum of the sky brightness, we subtract the dark current and mask bright point sources from the LRS images. The dark current is estimated from the masked regions of each slit individually. The corners of the array are masked to avoid contamination by spurious signals emanating from the multiplexers of the detectors in the corners of each quadrant. To remove bright point sources, we average the photocurrent of each slit along the horizontal direction, then clip the pixels containing stars determined by the criterion that the band-averaged photocurrent is deviated from the mean of band-average photocurrent of all pixels by 2 σ\sigma, where σ\sigma is the standard deviation of the photocurrent. We iterate this clipping procedure until the ratio of the number of rejected pixels to the remaining pixels is less than 0.1%\% of the total. To reject hot and dead pixels and the remaining faint point sources, pixels which are greater than 3 σ\sigma from the mean are also excluded. Finally, we derive the sky spectrum, Isky(θ)I_{\rm sky}(\theta), through each polarization filter as shown in Figure 6.

Further details on the basic data reduction are described in Tsumura et al. (2010) and Arai et al. (2015).

Refer to caption
Figure 6: The sky spectrum Isky(θ)I_{\rm sky}(\theta) through each polarization filter at the NEP field. The phase angles of the transmittance axis is labeled as θ\theta = 0,45,90,1350^{\circ},45^{\circ},90^{\circ},135^{\circ}. The shaded regions dominated by the flux calibration uncertainty, and the statistical uncertainty is negligible.

5 DATA ANALYSIS

After the basic data reduction, to derive the ZL polarization spectrum, we separate the mean ZL brightness, IZL,meanI_{\rm ZL,mean}, and the ZL brightness of the polarized component, IZL,polI_{\rm ZL,pol}, from the measured sky brightness. We assume that the polarization components of the DGL, the ISL, and the EBL are negligible compared to the ZL as discussed in Section 7. The measured sky brightness of the polarized component Isky,polI_{{\rm sky,pol}} can then be assumed as Isky,pol=IZL,polI_{{\rm sky,pol}}=I_{\rm ZL,pol}.

The mean sky brightness comprises;

Isky,mean(λ)=IZL,mean(λ)+IDGL(λ)+IISL(λ)+IEBL(λ).I_{{\rm sky,mean}}(\lambda)=I_{{\rm ZL,mean}}(\lambda)+I_{{\rm DGL}}(\lambda)+I_{{\rm ISL}}(\lambda)+I_{{\rm EBL}}(\lambda). (4)

To derive IZL,meanI_{\rm ZL,mean}, the DGL, the ISL, and the EBL contributions need to be separated from the measured sky brightness (Matsuura et al., 2017). The DGL component, IDGL(λ)I_{{\rm DGL}}(\lambda), is derived using its spatial distribution as traced by 100 μ\mum emission on scales smaller than a degree (Arai et al., 2015). The ISL component, IISL(λ)I_{{\rm ISL}}(\lambda), is estimated by Monte-Carlo simulation of the star distribution in the FOV using the 2MASS catalogue (Skrutskie et al., 2006), taking into account the limiting magnitude and the effective slit efficiency of the LRS (Arai et al., 2015). The EBL component, IEBL(λ)I_{{\rm EBL}}(\lambda), can be assumed as identical in all the fields, but with a lot of indeterminacy. To derive the fiducial unpolarimetric spectral shape of ZL, we calculate the difference between two fields,

(Isky,mean,i(λ)IDGL,i(λ)\displaystyle(I_{{\rm sky,mean},i}(\lambda)-I_{{\rm DGL},i}(\lambda) \displaystyle- IISL,i(λ))\displaystyle I_{{\rm ISL},i}(\lambda))
(Isky,mean,j(λ)\displaystyle-(I_{{\rm sky,mean},j}(\lambda) \displaystyle- IDGL,j(λ)IISL,j(λ))\displaystyle I_{{\rm DGL},j}(\lambda)-I_{{\rm ISL},j}(\lambda))
=(IZL,mean,i(λ)+IEBL,i(λ))\displaystyle=(I_{{\rm ZL,mean},i}(\lambda)+I_{{\rm EBL},i}(\lambda)) \displaystyle- (IZL,mean,j(λ)+IEBL,j(λ))\displaystyle(I_{{\rm ZL,mean},j}(\lambda)+I_{{\rm EBL},j}(\lambda))
=IZL,mean,i(λ)\displaystyle=I_{{\rm ZL,mean},i}(\lambda) \displaystyle- IZL,mean,j(λ)\displaystyle I_{{\rm ZL,mean},j}(\lambda) (5)

where ii and jj indicate different observation fields. We assume that the EBL component is identical in all the fields, so IEBL(λ)I_{{\rm EBL}}(\lambda) is canceled in Equation 5. We also estimate the ZL brightness, IZLmodelI_{\rm ZL_{model}}, at 1.25 μ\mum of each field from the DIRBE/COBE-based ZL model (Kelsall et al., 1998), which are summarized in Table 1, and normalize the differences of IZL,meanI_{\rm ZL,mean} with IZLmodelI_{\rm ZL_{model}} at 1.25 μ\mum. Because of deep airglow contamination, only the NEP, Elat-30 and BOOTES-B fields are available to derive the fiducial unpolarimetric spectral shape of ZL with polarization slit of the LRS. To improve the signal-to-noise ratio, we use not only the data with polarization slit but also that with center slit at the NEP and Elat-30 fields, and average these results. It is noteworthy that we could not use the data with center slit at the BOOTES-B field because the detector was not functioning properly. The airglow emission likely depends on atmospheric conditions and changes daily. The details of uncertainty of the airglow contamination are described in Section 7.

Figure 7 presents the fiducial mean spectral shape of ZL during the third flight. The difference in the ZL spectral shape between the second and third flights may be due to the timing of the observations and the calibration accuracy. In deriving the ZL polarization spectrum, we only use the ZL spectral shape of the third flight in terms of the instrumental systematic uncertainties.

Refer to caption
Figure 7: The ZL spectrum measured in the second flight (blue line) and the third flight (red line). The solid green line presents the mean ZL spectrum of all CIBER flight (Matsuura et al., 2017). The shaded regions indicate 1σ\sigma statistical uncertainties. The solid black line presents solar spectrum (http://rredc.nrel.gov/solar/spectra/am0). The circles indicate the ZL spectrum measured using NIRS/IRTS (Matsumoto et al., 1996). The diamonds present the ZL spectrum predicted by the IPD model derived from data from the Infrared Camera (IRC)/AKARI (Tsumura et al., 2013b). The square indicates the ZL brightness measured with DIRBE/COBE (Kelsall et al., 1998). Since the target fields of the CIBER observations are different from those of other studies, they are scaled to the brightness estimated from the 1.25 μ\mum ZL model (Kelsall et al., 1998) at (λ,β)=(335.37,89.72)(\lambda,\beta)=(335.37^{\circ},89.72^{\circ}).

To derive IZL,polI_{\rm ZL,pol}, we fit the measured sky spectrum IskyI_{\rm sky} with Equation 2 to separate the polarized and unpolarized components. In Figure 8, we show the measured Isky(θ)I_{\rm sky}(\theta) at 1.26 μ\mum as a function of θ\theta in the NEP field, as an example of the analysis. The black curve presents best fit by Equation 2.

Refer to caption
Figure 8: The red circles indicate the measured sky brightness Isky(θ)I_{\rm sky}(\theta) at 1.26 μ\mum through each polarization filter in the NEP field. The phase angles of the transmittance axis are labeled as θ\theta = 0,45,90,1350^{\circ},45^{\circ},90^{\circ},135^{\circ}. The error bars are dominated by the flat-field error (see Section 7.1). The black line represents the best fit of Equation 2. λIsky,mean\lambda I_{\rm sky,mean} is 439±8439\pm 8 nW m-2 sr-1 and λIsky,pol\lambda I_{\rm sky,pol} is 63±1063\pm 10 nW m-2 sr-1.

Finally, from Equation 3, the ZL polarization spectrum PZL(λ)P_{\rm ZL}(\lambda) can be expressed as,

PZL(λ)=IZL,pol(λ)IZL,mean(λ)P_{\rm ZL}(\lambda)=\frac{I_{{\rm ZL,pol}}(\lambda)}{I_{\rm ZL,mean}(\lambda)} (6)

6 RESULT

6.1 Validity of the Measured Polarization Angle

First of all, to validate our measurements, we compare an expected polarization angle, ϕ0,exp\phi_{\rm 0,exp}, with the measured polarization angle, ϕ0,meas\phi_{\rm 0,meas}. We show the geometric definition of the polarization angle in Figure 9 and 10. The angle of the plane-of-incidence, ν\nu, toward the declination is presented as

ν=tan1sin(β)tan(180λ+λ).\nu=\tan^{-1}\frac{\sin(\beta)}{\tan(180^{\circ}-\lambda+\lambda_{\odot})}. (7)

Thus ϕ0\phi_{0} can be determined as

ϕ0=η+ν90,\phi_{0}=\eta+\nu-90^{\circ}, (8)

where η\eta indicates the rotational angle of the slit. We note that the scattered light by each IPD grain along the line of sight produces the same phase angle since it does not depend on the distance between the LRS and the IPD grains. We summarize these parameters to calculate the expected polarization angle in Table 2. The measured phase angle is generally consistent with expectation, which supports our polarimetric measurements.

Refer to caption
Figure 9: The geometric description of CIBER observation with respect to the ecliptic latitude β\beta and the helio-ecliptic longitude (λλ\lambda-\lambda_{\odot}), where λ\lambda is the ecliptic longitude and λ\lambda_{\odot} is ecliptic longitude of the Sun. The red arrow represents the line of sight from the LRS/CIBER, and ss indicates the distance between the LRS/CIBER and a IPD grain. The radial distance from the grain to the Sun is denoted by RR, and the solar elongation is indicated by ϵ\epsilon. The angle between the plane-of-incidence and the declination axis is represented by ν\nu. The scattering angle is denoted by Θ\Theta.
Refer to caption
Figure 10: The orientation of the LRS/CIBER polarizer relative to the direction of the ZL polarization, as viewed from the LRS toward the line of sight. Helio-ecliptic coordinates are suitable to describe the ZL with the ecliptic latitude β\beta and the helio-ecliptic longitude (λλ\lambda-\lambda_{\odot}). The angle of plane-of-incidence toward the declination axis is represented by ν\nu. The rotational angle of the polarizer toward the declination axis is indicated by η\eta. The angle of direction of polarization toward the transmission axis is labeled as ϕ0\phi_{0}.
Table 2: The Expected Phase Angle ϕ0,exp\phi_{\rm 0,exp} and the Measured Phase Angle ϕ0,meas\phi_{\rm 0,meas}
ϕ0,exp\phi_{\rm 0,exp} ϕ0,meas\phi_{\rm 0,meas}
Field Name (deg) (deg)
Lockman Hole 113±\pm1 118±\pm12
SWIRE/ELAIS-N1 73±\pm3 68±\pm4
North Ecliptic Pole (NEP) 120±\pm1 119±\pm2
Elat30 (β\beta = 30 degree) 49±\pm1 54±\pm8
BOOTES-B 190±\pm2 163±\pm8

Note. — Because the LRS has large FOV, ϕ0,exp\phi_{\rm 0,exp} is different between the center and the edge of an image. The uncertainty of ϕ0,exp\phi_{\rm 0,exp} indicates this difference. ϕ0,meas\phi_{\rm 0,meas} is the average over all wavelengths. The uncertainty of ϕ0,meas\phi_{\rm 0,meas} represents the standard deviation.

6.2 Polarization Spectra

We show the ZL polarization spectrum, PZL(λ)P_{\rm ZL}(\lambda), of the five fields measured in the third flight in Figure 11 and Table 3. This is the first measurements of the polarization ZL spectrum in the near-infrared. PZL(λ)P_{\rm ZL}(\lambda) shows little wavelength dependence in all fields. On the other hand, PZL(λ)P_{\rm ZL}(\lambda) clearly depends on the ecliptic coordinates and the solar elongation. PZL(λ)P_{\rm ZL}(\lambda) peaks at the NEP field where the solar elongation is 9090^{\circ}. The detail of systematic uncertainty is described in Section 7.

Refer to caption
Figure 11: The ZL polarization spectrum PZL(λ)P_{\rm ZL}(\lambda) measured in the third flight (red filled circles). The error bars represent the total uncertainty due to the fitting of Equation 2 and the polarization calibration. The red shaded region indicates the total instrument and astronomical systematic uncertainty (Section 7). The black circle is the original data of the degree of polarization Psky,DIRBEP_{\rm sky,DIRBE} from Berriman et al. (1994), and the blue circle is the corrected degree of polarization PZL,DIRBEP_{\rm ZL,DIRBE} measured with DIRBE/COBE at λ=10\lambda=10^{\circ} and β=0\beta=0^{\circ}.
Table 3: The ZL polarization spectrum PZL(λ)P_{\rm ZL}(\lambda) measured in the third flight.
λ\lambda PZLLockmanHoleP_{\rm ZL_{\rm Lockman~{}Hole}} PZLSWIRE/ELAISN1P_{\rm ZL_{\rm SWIRE/ELAIS\mathchar 45\relax N1}} PZLNEPP_{\rm ZL_{\rm NEP}} PZLElat30P_{\rm ZL_{\rm Elat30}} PZLBOOTESBP_{\rm ZL_{\rm BOOTES\mathchar 45\relax B}}
(μ\mum) (%) (%) (%) (%) (%)
0.815 9.4 ±\pm 2.2 ++ 5.3/-5.5 15.2 ±\pm 6.1 ++ 3.4/-8.0 26.0 ±\pm 8.8 ++ 6.6/-6.0 6.1 ±\pm 4.8 ++ 3.4/-8.0 7.8 ±\pm 3.9 ++ 4.0/-3.7
0.845 13.1 ±\pm 0.5 ++ 4.6/-4.2 14.3 ±\pm 3.4 ++ 4.4/-3.3 24.5 ±\pm 3.7 ++ 5.7/-5.2 9.0 ±\pm 1.2 ++ 4.4/-3.3 6.0 ±\pm 2.0 ++ 2.7/-5.3
0.875 8.9 ±\pm 0.6 ++ 2.9/-2.3 11.9 ±\pm 0.9 ++ 3.8/-2.6 25.5 ±\pm 3.3 ++ 7.0/-1.9 3.8 ±\pm 1.8 ++ 3.8/-2.6 6.9 ±\pm 3.2 ++ 3.1/-3.5
0.905 8.6 ±\pm 5.4 ++ 5.6/-1.7 13.3 ±\pm 1.6 ++ 4.4/-2.7 26.3 ±\pm 3.8 ++ 14.1/-2.5 4.1 ±\pm 2.0 ++ 4.4/-2.7 7.7 ±\pm 3.0 ++ 4.5/-2.8
0.935 8.4 ±\pm 0.8 ++ 4.7/-3.5 12.7 ±\pm 3.2 ++ 6.7/-2.2 26.4 ±\pm 6.4 ++ 9.8/-1.9 3.4 ±\pm 2.0 ++ 6.7/-2.2 7.4 ±\pm 3.0 ++ 5.1/-2.6
0.965 8.5 ±\pm 2.3 ++ 3.9/-4.4 14.2 ±\pm 0.9 ++ 5.1/-3.1 25.9 ±\pm 4.5 ++ 6.7/-2.5 4.3 ±\pm 2.2 ++ 5.1/-3.1 6.1 ±\pm 2.3 ++ 2.8/-4.9
0.995 10.7 ±\pm 4.4 ++ 4.9/-5.0 15.8 ±\pm 4.6 ++ 1.3/-4.8 25.1 ±\pm 5.9 ++ 7.7/-5.6 5.9 ±\pm 3.0 ++ 1.3/-4.8 5.2 ±\pm 2.8 ++ 1.8/-2.5
1.025 13.0 ±\pm 2.6 ++ 5.1/-8.6 14.1 ±\pm 1.7 ++ 1.6/-6.1 22.5 ±\pm 5.8 ++ 8.5/-4.7 4.7 ±\pm 3.5 ++ 1.6/-6.1 6.9 ±\pm 4.0 ++ 3.7/-1.9
1.055 9.6 ±\pm 0.4 ++ 5.5/-7.6 11.6 ±\pm 4.0 ++ 1.6/-6.1 21.3 ±\pm 2.7 ++ 8.1/-4.6 7.0 ±\pm 2.2 ++ 1.6/-6.1 6.2 ±\pm 1.7 ++ 8.0/-1.2
1.087 8.0 ±\pm 0.7 ++ 6.8/-4.5 15.1 ±\pm 0.7 ++ 1.0/-9.5 20.0 ±\pm 2.5 ++ 7.4/-3.1 7.9 ±\pm 0.5 ++ 1.0/-9.5 6.5 ±\pm 0.9 ++ 6.3/-0.9
1.120 1.4 ±\pm 1.9 ++ 7.7/-2.6 13.1 ±\pm 0.6 ++ 1.3/-5.8 21.8 ±\pm 1.5 ++ 3.8/-5.6 4.6 ±\pm 0.2 ++ 1.3/-5.8 6.1 ±\pm 0.5 ++ 2.0/-2.0
1.152 10.8 ±\pm 2.2 ++ 3.1/-8.6 11.4 ±\pm 1.3 ++ 0.6/-4.9 20.7 ±\pm 2.3 ++ 3.8/-7.4 3.8 ±\pm 0.9 ++ 0.6/-4.9 6.9 ±\pm 0.7 ++ 2.9/-1.9
1.190 4.1 ±\pm 0.1 ++ 3.8/-3.6 11.3 ±\pm 0.6 ++ 1.0/-5.3 23.4 ±\pm 4.9 ++ 4.5/-3.2 5.1 ±\pm 0.8 ++ 1.0/-5.3 6.7 ±\pm 0.8 ++ 4.7/-1.6
1.225 11.4 ±\pm 1.4 ++ 1.1/-8.5 11.9 ±\pm 0.4 ++ 1.3/-7.0 20.7 ±\pm 3.4 ++ 3.9/-6.4 5.3 ±\pm 1.0 ++ 1.3/-7.0 6.0 ±\pm 1.8 ++ 0.9/-4.3
1.260 9.8 ±\pm 5.9 ++ 1.7/-5.3 12.0 ±\pm 1.4 ++ 1.5/-2.4 22.8 ±\pm 3.9 ++ 3.3/-3.9 3.4 ±\pm 0.5 ++ 1.5/-2.4 6.1 ±\pm 1.6 ++ 2.1/-1.4
1.300 10.5 ±\pm 2.9 ++ 3.0/-6.4 12.1 ±\pm 0.6 ++ 1.1/-6.1 20.7 ±\pm 2.9 ++ 4.2/-4.8 4.2 ±\pm 1.7 ++ 1.1/-6.1 5.8 ±\pm 1.0 ++ 2.6/-2.6
1.345 5.9 ±\pm 2.3 ++ 11.4/-1.3 14.3 ±\pm 0.4 ++ 1.0/-9.2 21.1 ±\pm 4.4 ++ 3.9/-4.6 7.0 ±\pm 0.9 ++ 1.0/-9.2 5.3 ±\pm 1.5 ++ 4.6/-1.6
1.390 10.6 ±\pm 3.1 ++ 12.1/-3.6 12.2 ±\pm 0.3 ++ 3.9/-5.0 23.4 ±\pm 2.7 ++ 8.2/-2.5 6.5 ±\pm 0.7 ++ 3.9/-5.0 5.7 ±\pm 0.8 ++ 3.4/-1.8
1.430 6.8 ±\pm 1.1 ++ 10.3/-1.9 12.1 ±\pm 0.7 ++ 3.8/-6.6 23.0 ±\pm 4.7 ++ 5.3/-5.4 3.4 ±\pm 1.3 ++ 3.8/-6.6 6.8 ±\pm 1.7 ++ 2.6/-3.4
1.475 8.0 ±\pm 4.6 ++ 7.0/-5.7 10.8 ±\pm 1.2 ++ 1.6/-5.9 22.9 ±\pm 2.3 ++ 4.9/-7.6 4.8 ±\pm 1.7 ++ 1.6/-5.9 5.9 ±\pm 1.2 ++ 1.9/-3.4
1.545 10.0 ±\pm 1.3 ++ 2.7/-10.1 11.8 ±\pm 1.5 ++ 2.4/-5.9 23.0 ±\pm 3.8 ++ 3.7/-8.8 4.8 ±\pm 1.2 ++ 2.4/-5.9 5.2 ±\pm 1.6 ++ 1.5/-3.1
1.635 11.2 ±\pm 3.0 ++ 6.2/-7.9 12.9 ±\pm 2.6 ++ 1.8/-4.9 22.9 ±\pm 5.5 ++ 3.7/-8.9 6.1 ±\pm 1.3 ++ 1.8/-4.9 2.8 ±\pm 2.8 ++ 2.1/-7.1
1.755 12.2 ±\pm 2.3 ++ 2.1/-13.0 13.4 ±\pm 1.5 ++ 1.4/-5.4 22.1 ±\pm 4.7 ++ 2.4/-10.9 6.4 ±\pm 2.0 ++ 1.4/-5.4 1.9 ±\pm 2.7 ++ 0.6/-10.3

Note. — Mean value ±\pm Statistical uncertainty ++ Systematic uncertainty (upper/lower).

Table 4: Corrected degree of polarization measured by DIRBE/COBE at λ=10\lambda=10^{\circ} and β=0\beta=0^{\circ}.
Wavelength Psky,DIRBEP_{\rm sky,DIRBE} Detection IZL,meanI_{\rm ZL,mean} IISLI_{\rm ISL} IDGLI_{\rm DGL} IEBLI_{\rm EBL} PZL,DIRBEP_{\rm ZL,DIRBE}
=IZL,polIsky,mean,DIRBE=\frac{I_{\rm ZL,pol}}{I_{\rm sky,mean,DIRBE}} Limit =IZL,polIZL,mean=\frac{I_{\rm ZL,pol}}{I_{\rm ZL,mean}}
(μ\mum) (%\%) (Jy) (nW m-2 sr-1) (nW m-2 sr-1) (nW m-2 sr-1) (nW m-2 sr-1) (%\%)
1.25 12.00 ±\pm 0.4 15 831 ±\pm 41 318 ±\pm 15 10 ±\pm 1 54 ±\pm 17 18 ±\pm 1
2.2 10.00 ±\pm 0.5 15 302 ±\pm 15 257 ±\pm 13 5 ±\pm 1 28 ±\pm 7 19 ±\pm 1

Note. — See Section 6 for detail.

6.3 Solar Elongation Dependence

We show the mean of PZL(λ)P_{\rm ZL}(\lambda) from 0.8 to 1.8 μ\mum as a function of the solar elongation in Figure 12. We plot two results scaled to the ZL brightness estimated from the Kelsall et al. (1998) model (hereafter the Kelsall model) and the Wright (1998) model (hereafter the Wright model). The degree of polarization of the IPD as a function of the scattering angle Θ\Theta in different scattering models is shown in Figure 13. The models we consider are empirical scattering, Rayleigh scattering, and Mie scattering with astronomical silicate and with graphite (Bohren & Huffman, 1983). For Mie scattering, we assume the mean complex refractive indices m=1.714+0.031im=1.714+0.031i for astronomical silicate as typical refractive material and m=2.995+1.590im=2.995+1.590i for graphite as a typical absorptive material from 0.8 to 1.8 μ\mum (Draine & Lee, 1984). The degree of polarization in each model is calculated by integrating along the line of sight in each field and assuming the IPD geometry of the Kelsall model (Figure 12). Since each observation field in CIBER is toward solar elongation ϵ>90\epsilon>90^{\circ}, the degree of polarization with scattering angle <90<90^{\circ} is not included in the line-of-sight integration. Our results are consistent with the degree of polarization inferred from the scattering properties of the empirical model and the Mie scattering model with r1μr\geq 1~{}\mum graphite. The Rayleigh scattering and the Mie scattering with astronomical silicate can be rejected as the principal mechanism of the ZL polarization.

Refer to caption
Figure 12: The degree of polarization PZL(λ)P_{\rm ZL}(\lambda) as a function of the solar elongation. Open and closed stars are average PZL(λ)P_{\rm ZL}(\lambda) between 0.8 and 1.8 μ\mum scaled to the brightness estimated from the Kelsall model and the Wright model. Error bars indicate the systematic uncertainties. Open circles indicate the PZLP_{\rm ZL} produced by the empirical scattering in the visible band (Leinert, 1975), and open diamonds present that calculated by the Rayleigh scattering (Bohren & Huffman, 1983) along the line of sight. The triangles and the squares indicate the PZLP_{\rm ZL} calculated by the Mie scattering with astronomical silicate and graphite, respectively (Draine & Lee, 1984). The marker colors mean different particle radius (see Figure 13). Note that each marker has an offset in the X-axis so that they do not overlap with each other, even if they have the same solar elongation. The Empirical model and the Mie model with graphite can clearly reproduce the measurements better than the other models.
Refer to caption
Figure 13: The degree of polarization as a function of the scattering angle Θ\Theta. (TopTop) The solid line indicates the empirical degree of polarization by the IPD in the visible band relative to Θ\Theta (Leinert, 1975). The dotted line indicates the Rayleigh scattering. (MiddleMiddle) The solid lines indicate the Mie scattering models using the complex refractive index of astronomical silicate. The particle radius rr is varied from 0.1 to 100 μ\mum, and each rr is integrated over r±50%r\pm 50\%. The dashed line represent the geometric optics limit. (BottomBottom) Same as middle, but using the complex refractive index of graphite.

6.4 Comparison with the DIRBE/COBE data

To compare our result with the DIRBE/COBE data at 1.25 and 2.2 μ\mum, we estimate the ZL polarization, PZL,DIRBEP_{\rm ZL,DIRBE}, from the result presented in Berriman et al. (1994). Because Berriman et al. (1994) did not take into account the DGL, the ISL, and the EBL contributions, they present the polarization of the sky brightness, Psky,DIRBEP_{\rm sky,DIRBE}. In order to estimate PZL,DIRBEP_{\rm ZL,DIRBE}, we estimate IZL,meanI_{\rm ZL,mean}, IISLI_{\rm ISL}, IDGLI_{\rm DGL}, and IEBLI_{\rm EBL}. We estimate Isky,mean,DIRBEI_{\rm sky,mean,DIRBE} as the following:

Isky,mean,DIRBE=IZL,mean+IISL+IDGL+IEBL,I_{\rm sky,mean,DIRBE}=I_{\rm ZL,mean}+I_{\rm ISL}+I_{\rm DGL}+I_{\rm EBL}, (9)

where IZL,meanI_{\rm ZL,mean} is estimated from the Kelsall model. IISLI_{\rm ISL} is calculated by integrating stars fainter than the detection limit of point sources of DIRBE, at 15 Jy (Arendt et al., 1998). We integrate star light fainter than 15 Jy by using 2MASS catalogue (Skrutskie et al., 2006) and TRILEGAL, which is population synthesis code for Monte-Carlo simulating a star count in the Galaxy (Girardi et al., 2005). The uncertainty of IISLI_{\rm ISL} is estimated from the variance due to the Monte-Carlo simulation. IDGLI_{\rm DGL} is estimated from Arai et al. (2015) and Tsumura et al. (2013a) at 1.25 and 2.2 μ\mum. IEBLI_{\rm EBL} is adopted from Cambrésy et al. (2001). These estimated components are summarized in Table 4. Since these sources can be assumed as unpolarized, we calculate the surface brightness of the polarization component, IZL,pol,DIRBEI_{\rm ZL,pol,DIRBE} as

IZL,pol,DIRBE=Psky,DIRBEIsky,mean,DIRBE.I_{\rm ZL,pol,DIRBE}=P_{\rm sky,DIRBE}I_{\rm sky,mean,DIRBE}. (10)

Finally we infer PZL,DIRBEP_{\rm ZL,DIRBE} using the estimated IZL,meanI_{\rm ZL,mean} and IZL,pol,DIRBEI_{\rm ZL,pol,DIRBE}:

PZL,DIRBE=IZL,pol,DIRBEIZL,mean.P_{\rm ZL,DIRBE}=\frac{I_{\rm ZL,pol,DIRBE}}{I_{\rm ZL,mean}}. (11)

The resultant PZL,DIRBEP_{\rm ZL,DIRBE} is summarized in Table 4. Although the original DIRBE/COBE data, Psky,DIRBEP_{\rm sky,DIRBE}, indicates redder color than our data, PZL,DIRBEP_{\rm ZL,DIRBE} shows little wavelength dependence after we account for other diffuse sources. We show comparison between Psky,DIRBEP_{\rm sky,DIRBE}, PZL,DIRBEP_{\rm ZL,DIRBE}, and PZL(λ)P_{\rm ZL}(\lambda) at the NEP field with the same solar elongation ϵ=90\epsilon=90^{\circ} in Figure 11. PZL,DIRBEP_{\rm ZL,DIRBE} is consistent with PZL(λ)P_{\rm ZL}(\lambda) at the NEP field.

7 SYSTEMATIC UNCERTAINTY

Refer to caption
Figure 14: The ZL polarization spectrum PZL(λ)P_{\rm ZL}(\lambda) measured in the third flight (red filled circles). The instrumental systematic uncertainties associated with the wavelength calibration (aqua solid line), the flat-field (aqua dashed line), the dark current subtraction (orange solid line), and the surface brightness calibration (orange dashed line) are indicated. The systematic uncertainties from the astronomical foreground composed by ZL (purple solid line), the airglow contamination (purple dashed line), the ISL (light-green solid line), and the DGL (light-green dashed line) are also presented. The red shaded region indicates the total instrument and astronomical systematic uncertainty that is the quadrature sum of the systematic uncertainties.

Fig 14 contains the same data as Fig 11, but overplotted with the instrumental and astronomical systematic uncertainties. The systematic uncertainties include the instrumental calibrations, the contributions from airglow emission, and the diffuse brightness estimation. The total systematic uncertainty is the upper limit because we assume maximum polarization of residual faint stars, and the DGL.

7.1 Instrumental Systematic Uncertainty

Since the accuracy of the wavelength calibration is ±\pm1 nm, to quantify how the wavelength uncertainty propagates into the ZL polarization spectrum, we shift the wavelength by ±\pm1 nm, then recompute the ZL polarization spectrum with the shifted wavelength in each case. The uncertainty due to the wavelength calibration is then captured by the difference between the +1+1 and 1-1 shifted ZL spectra. As shown in Figure 14, the propagated uncertainty is negligible.

We estimated the biased introduced by the flat-field correction by differencing the flat-field measurements from various integrating spheres. We used two integrating spheres with 10 cm and 20 cm exit port diameters as described in Arai et al. (2015). We then derive two ZL spectra for these two flat fields, and take their difference as the uncertainty of ZL polarization due to the flat field. The flat-field systematic uncertainty is <6<6%, which is acceptably small. To check the systematic uncertainty from the dark current subtraction, we closed a cold shutter and measured the dark current images twice, on the rail and during the flight. The flight-rail difference makes a \sim 0.03 e- s-1 systematic offset corresponding to \sim 0.7 nW m-2 sr-1 at 1.25 μ\mum. We subtracted these dark current images from the each sky image and then calculated difference between the rail and flight cases, which gives us the bias from dark current subtraction. The systematic uncertainty in the dark current subtraction does not significantly affect the final results.

In general, the absolute brightness calibration uncertainty is canceled because the calibration is common between the polarization and the brightness channels. However, since we estimate the ZL brightness using a ZL model, a bias arises when comparing our data with the ZL model brightness. As described in Arai et al. (2015), we conduct the absolute brightness calibration with several different setups in the laboratory. The measured calibration factors are consistent to within a 3%\% r.m.s variation, which sets the uncertainty of the absolute brightness calibration.

To quantify the bias of the polarization measurement, we investigate the LRS polarization calibration data described in Section 3. Although the extinction ratio of the wire-grid polarization film is higher than 1000, the measured extinction ratio of the LRS is 100. The opening angle of incidence at the polarization film in the LRS is large, so some incident light leaks and decreases the extinction ratio of the LRS. This means that the polarization measurement has a 0.01 offset. We regard this offset as the systematic uncertainty of the polarization measurement by the LRS.

7.2 Airglow Contamination

We attribute a time and a rocket-altitude dependence to the airglow emission, so the observed brightness is written as

Iobs(t,h)=Isky+Iair(t,h),I_{obs}(t,h)=I_{sky}+I_{air}(t,h), (12)

where IairI_{air} indicates the brightness of airglow emission, tt is the time from the launch, and hh is the altitude of the rocket. To estimate the contamination from airglow, we separate the sky image into a first and a second-half integrations and derive the ZL polarization spectrum from each half. If there is difference between the ZL polarization spectra derived from the first and the second-half images, this difference should be due to the airglow contamination. We calculate this difference as the bias from the airglow. The measured bias from the airglow contamination is \sim 20%\% at the Lockman and Elat30 fields, \sim 10%\% at the BOOTES-B field, \sim 5%\% at the SWIRE field, and \sim 2%\% at the NEP field. From these results, we confirm that the airglow contamination decays with time and altitude of the rocket, because the amount of the airglow contamination in the first-half is higher than that in the second half. Because the integration time of Elat30 is shorter than other fields, the large airglow contamination can also be due to noise. As shown in Figure 14, the airglow contamination is not negligible but is acceptably small.

7.3 Astronomical Systematic Uncertainty

Starlight is known to be linearly polarized due to interstellar dust grains aligned by the magnetic field of the Galaxy (Heiles, 2000). The maximum polarization is 0.03 at τV=1\tau_{V}=1 where τV\tau_{V} is optical depth in V-band (Serkowski, 1973). If the brightness of residual faint stars is \sim 15%\% of the ZL brightness at the NEP field, the maximum starlight polarization is 0.0045. Because stars are randomly distributed and the LRS FOV is large, the starlight polarization should be lower than this estimation. The starlight polarization is then only a few percent of the ZL polarization, which is negligible.

Because the DGL polarization has never been measured, we adopt the polarization of molecular clouds and reflection nebulae to quantify the DGL polarization. Hashimoto et al. (2007) measured the linear polarization of the Orion molecular clouds and reported that the maximum polarization is 0.10 and 0.19 at J-band and H-band, respectively. Nagata et al. (1987) report that the polarization of the extended reflection nebulae around GGD27 IRS and W75N IRS is \sim 0.2 at 2.2 μ\mum. From these results, we assume that the DGL polarization is \sim 0.2. Because the DGL brightness is \sim 10%\% of the ZL brightness at the NEP field, the contamination by the DGL polarization is 0.02.

8 DISCUSSION

Refer to caption
Figure 15: Comparison between the ZL polarization spectrum, the ZL polarization of five Mie models, and the comet polarization. The red filled circles indicate the ZL polarization spectrum PZL(λ)P_{\rm ZL}(\lambda) at the NEP field. The error bars represent the total uncertainty from fitting of Equation 2 and the polarization calibration. The red shaded region indicates the total systematic uncertainty. The purple asterisk is the ZL polarization at 0.5 μ\mum in the NEP field (Levasseur-Regourd & Dumont, 1980). The black diamonds are the polarization of comet Hale-Bopp extrapolated to 40 phase angle, the white diamonds are the same data, scaled by the purple asterisk (Kelley et al., 2004). The blue lines indicate the ZL polarization of five Mie scattering (spherical particle) models. Thick solid line: r=10μr=10~{}\mum. Thin solid line: r=3μr=3~{}\mum. Dotted line: r=1μr=1~{}\mum. Dashed line: r=0.5μr=0.5~{}\mum. Dash-dot: r=0.3μr=0.3~{}\mum.

In Figure 15, the ZL polarization has little wavelength dependence from visible to infrared. The similar scattering properties at different wavelengths suggest that large IPD grains contribute to the ZL polarization. This suggestion is supported by the fact that our observations are consistant with the ZL polarization calculated by the empirical scattering model in the visible band. The similar scattering properties at different wavelengths suggest that large IPD grains contribute to the ZL polarization. We provide another test for the IPD size by comparing the ZL polarization spectrum with the polarization of Mie scattering theories. We used five models with different particle radius (xx=0.3, 0.5, 1, 3, and 10 μ\mum) with a constant complex refractive index independent of wavelength, referring to m=2.98+1.6im=2.98+1.6i for graphite, a typical absorber. The wavelength dependence of the ZL polarization from visible to infrared is consistent with the Mie scattering model for large particles (r>1μr>1~{}\mum). The observed degree of polarization is also roughly consistent with the Mie scattering model for large particles within the systematic uncertainty.

As shown in Figure 12, our results can also be reproduced by the Mie scattering with graphite, suggesting that the IPD is dominated by large particles (r>1μr>1~{}\mum). The observed ZL polarization is not consistent with the Rayleigh scattering which would favor small IPD grain size . The Rayleigh scattering implies that the amount of scattering is inversely proportional to the fourth power of the wavelength. However, the ZL polarization spectrum shows little wavelength dependence, therefore disfavoring the Rayleigh explanation. In fact, the IPD is composed of several of these components, suggesting that the larger particles contribute more to ZL polarization than the smaller ones.

In Figure 15, we also consider the polarization of comet Hale Bopp extrapolated to 40 phase angle. The polarization of cometary dust also has little wavelength dependence. This is consistent with our observed polarization and that of large absorbing materials, however, cometary dust also contains silicate. As reported by Ootsubo et al. (2009), the ZL spectrum exhibits crystalline silicate features at 9.3 and 11.35 μ\mum. Silicate emission bands similar to comets were also detected in the ZL spectrum (Reach et al., 2003). Hanner (1999) also reported Mg-rich silicate features at 9.3 and 11.3 μ\mum. Zubko et al. (2014) reproduced the polarization measurement in comet C/1975 V1 (West) by modeling a mixture of weakly and highly absorption particles with complex refractive indices m=1.5+0im=1.5+0i or 1.6+0.0005i1.6+0.0005i and 2.43+0.59i2.43+0.59i. This mixture corresponds to Mg-rich silicates and amorphous carbon. Lasue et al. (2009) also found evidences of a similar mixture comprising non-absorbing silicate-type and absorbing organic-type materials in the cometary dust of comet C/1995 O1 Hale-Bopp and 1P/Halley.

We cannot conclusively determine the origin of the IPD from our data alone. Further observation of comets and asteroids as well as theoretical modeling of the IPD scattering are required to reveal the origin of the IPD.

We will extend the ZL observation to shorter wavelengths using the second CIBER experiment, CIBER-2 (Takimoto et al., 2020). CIBER-2 was successfully launched in mid-2021 and its data will provide ZL spectrum at 0.5-2.5 μ\mum. Future observations of ZL polarization spectra in the visible and near-infrared will help us understand the structural and physical properties of IPD. At the same time, the heliocentric IPD distribution will be observed by ZL observation from outside the Earth’s orbit (0.7-1.5 au) by the Hayabusa-2 extended mission (Hirabayashi et al., 2021). These missions will allow us to better probe the IPD origin.

9 Summary

To determine the size and composition of the IPD, we observed the linear polarization spectrum of the ZL at the near-infrared wavelengths from 0.8 - 1.8 μ\mum with spectro-polarimetric function of the LRS/CIBER instrument. We subtracted the contributions of the ISL, the DGL, and the EBL from the total sky brightness to derive the ZL polarization spectrum. The ZL polarization spectrum shows little wavelength dependence, and the degree of polarization shows clear dependence on the ecliptic coordinates and the solar elongation. The measured degree of polarization and its solar elongation dependence are reproduced by the empirical scattering model in the visible band and also by a scattering model for large absorptive particles, while small particles cannot reproduce (r<1μr<1~{}\mum). All of our results suggest that the IPD is dominated by large particles. The wavelength dependence of the ZL polarization in wide wavelength range including the visible band is similar to that of comet Hale-Bopp,

This work was supported by NASA APRA research grants NNX07AI54G, NNG05WC18G, NNX07AG43G, NNX07AJ24G, and NNX10AE12G. Initial support was provided by an award to J.B. from the Jet Propulsion Laboratory’s Director’s Research and Development Fund. CIBER was supported by KAKENHI (20.34, 18204018, 19540250, 21340047, 21111004, 2111717, 26800112, and 15H05744) from the Japan Society for the Promotion of Science (JSPS) and the Ministry of Education, Culture, Sports, Science and Technology (MEXT). Korean participation in CIBER was supported by the Pioneer Project from Korea Astronomy and Space science Institute (KASI). We would like to acknowledge the dedicated efforts of the sounding rocket staff at the NASA Wallops Flight Facility and the White Sands Missile Range, and also thank Dr. Allan Smith, Dr. Keith Lykke, and Dr. Steven Brown (NIST) for the laboratory calibration of LRS. P.K. and M.Z. acknowledge support from a NASA Postdoctoral Fellowship, T.A. acknowledges support from the JSPS Research Fellowship for Young Scientists, and A.C. acknowledges support from an NSF CAREER award AST-0645427 and NSF AST-1313319. This publication makes use of data products from the 2MASS, which is a joint project of the University of Massachusetts and the Infrared Processing and Analysis Center/California Institute of Technology, funded by the National Aeronautics and Space Administration and the National Science Foundation.

References

  • Arai et al. (2015) Arai, T., Matsuura, S., Bock, J., et al. 2015, The Astrophysical Journal, 806, 69
  • Arendt et al. (1998) Arendt, R. G., Odegard, N., Weiland, J. L., et al. 1998, ApJ, 508, 74, doi: 10.1086/306381
  • Berriman et al. (1994) Berriman, G. B., Boggess, N. W., Hauser, M. G., et al. 1994, ApJ, 431, L63, doi: 10.1086/187473
  • Bock et al. (2013) Bock, J., Sullivan, I., Arai, T., et al. 2013, ApJS, 207, 32, doi: 10.1088/0067-0049/207/2/32
  • Bohren & Huffman (1983) Bohren, C. F., & Huffman, D. R. 1983, Absorption and scattering of light by small particles
  • Cambrésy et al. (2001) Cambrésy, L., Reach, W. T., Beichman, C. A., & Jarrett, T. H. 2001, ApJ, 555, 563, doi: 10.1086/321470
  • Draine & Lee (1984) Draine, B., & Lee, H. M. 1984, The Astrophysical Journal, 285, 89
  • Fernández et al. (2006) Fernández, Y. R., Campins, H., Kassis, M., et al. 2006, AJ, 132, 1354, doi: 10.1086/506252
  • Girardi et al. (2005) Girardi, L., Groenewegen, M. A. T., Hatziminaoglou, E., & da Costa, L. 2005, A&A, 436, 895, doi: 10.1051/0004-6361:20042352
  • Hanner (1999) Hanner, M. S. 1999, Space Sci. Rev., 90, 99, doi: 10.1023/A:1005285711945
  • Hashimoto et al. (2007) Hashimoto, J., Tamura, M., Kandori, R., et al. 2007, PASJ, 59, 481, doi: 10.1093/pasj/59.3.481
  • Heiles (2000) Heiles, C. 2000, AJ, 119, 923, doi: 10.1086/301236
  • Hirabayashi et al. (2021) Hirabayashi, M., Mimasu, Y., Sakatani, N., et al. 2021, Advances in Space Research, 68, 1533, doi: https://doi.org/10.1016/j.asr.2021.03.030
  • Kelley et al. (2004) Kelley, M. S., Woodward, C. E., Jones, T. J., Reach, W. T., & Johnson, J. 2004, AJ, 127, 2398, doi: 10.1086/382240
  • Kelsall et al. (1998) Kelsall, T., Weiland, J. L., Franz, B. A., et al. 1998, ApJ, 508, 44, doi: 10.1086/306380
  • Korngut et al. (2013) Korngut, P. M., Renbarger, T., Arai, T., et al. 2013, ApJS, 207, 34, doi: 10.1088/0067-0049/207/2/34
  • Lasue et al. (2009) Lasue, J., Levasseur-Regourd, A. C., Hadamcik, E., & Alcouffe, G. 2009, Icarus, 199, 129, doi: 10.1016/j.icarus.2008.09.008
  • Leinert (1975) Leinert, C. 1975, Space Science Reviews, 18, 281
  • Leinert & Blanck (1982) Leinert, C., & Blanck, B. 1982, A&A, 105, 364
  • Leinert et al. (1998) Leinert, C., Bowyer, S., Haikala, L. K., et al. 1998, A&AS, 127, 1, doi: 10.1051/aas:1998105
  • Levasseur-Regourd & Dumont (1980) Levasseur-Regourd, A. C., & Dumont, R. 1980, A&A, 84, 277
  • Matsumoto et al. (1996) Matsumoto, T., Kawada, M., Murakami, H., et al. 1996, PASJ, 48, L47
  • Matsuura et al. (2017) Matsuura, S., Arai, T., Bock, J. J., et al. 2017, The Astrophysical Journal, 839, 7
  • Nagata et al. (1987) Nagata, T., Yamashita, T., Sato, S., et al. 1987, in IAU Symposium, Vol. 115, Star Forming Regions, ed. M. Peimbert & J. Jugaku, 374
  • Nesvorný et al. (2011) Nesvorný, D., Janches, D., Vokrouhlický, D., et al. 2011, The Astrophysical Journal, 743, 129, doi: 10.1088/0004-637x/743/2/129
  • Nesvorný et al. (2010) Nesvorný, D., Jenniskens, P., Levison, H. F., et al. 2010, ApJ, 713, 816, doi: 10.1088/0004-637X/713/2/816
  • Ootsubo et al. (1998) Ootsubo, T., Onaka, T., Yamamura, I., et al. 1998, Earth, Planets, and Space, 50, 507
  • Ootsubo et al. (2009) Ootsubo, T., Ueno, M., Ishiguro, M., et al. 2009, in Astronomical Society of the Pacific Conference Series, Vol. 418, AKARI, a Light to Illuminate the Misty Universe, ed. T. Onaka, G. J. White, T. Nakagawa, & I. Yamamura, 395
  • Pitz et al. (1979) Pitz, E., Leinert, C., Schulz, A., & Link, H. 1979, A&A, 74, 15
  • Reach et al. (2003) Reach, W. T., Morris, P., Boulanger, F., & Okumura, K. 2003, Icarus, 164, 384, doi: 10.1016/S0019-1035(03)00133-7
  • Serkowski (1973) Serkowski, K. 1973, in IAU Symposium, Vol. 52, Interstellar Dust and Related Topics, ed. J. M. Greenberg & H. C. van de Hulst, 145
  • Skrutskie et al. (2006) Skrutskie, M. F., Cutri, R. M., Stiening, R., et al. 2006, AJ, 131, 1163, doi: 10.1086/498708
  • Soderblom et al. (2002) Soderblom, L. A., Becker, T. L., Bennett, G., et al. 2002, Science, 296, 1087, doi: 10.1126/science.1069527
  • Takimoto et al. (2020) Takimoto, K., Bang, S.-C., Bangale, P., et al. 2020, in Space Telescopes and Instrumentation 2020: Optical, Infrared, and Millimeter Wave, ed. M. Lystrup, M. D. Perrin, N. Batalha, N. Siegler, & E. C. Tong, Vol. 11443, International Society for Optics and Photonics (SPIE), 861 – 873. https://doi.org/10.1117/12.2561917
  • Tsumura et al. (2013a) Tsumura, K., Matsumoto, T., Matsuura, S., et al. 2013a, Publications of the Astronomical Society of Japan, 65, doi: 10.1093/pasj/65.6.120
  • Tsumura et al. (2013b) Tsumura, K., Matsumoto, T., Matsuura, S., Sakon, I., & Wada, T. 2013b, Publications of the Astronomical Society of Japan, 65, doi: 10.1093/pasj/65.6.121
  • Tsumura et al. (2010) Tsumura, K., Battle, J., Bock, J., et al. 2010, ApJ, 719, 394, doi: 10.1088/0004-637X/719/1/394
  • Tsumura et al. (2013) Tsumura, K., Arai, T., Battle, J., et al. 2013, ApJS, 207, 33, doi: 10.1088/0067-0049/207/2/33
  • Weinberg & Hahn (1980) Weinberg, J. L., & Hahn, R. C. 1980, in IAU Symposium, Vol. 90, Solid Particles in the Solar System, ed. I. Halliday & B. A. McIntosh, 19–22
  • Wright (1998) Wright, E. L. 1998, The Astrophysical Journal, 496, 1
  • Yang & Ishiguro (2015) Yang, H., & Ishiguro, M. 2015, The Astrophysical Journal, 813, 87, doi: 10.1088/0004-637x/813/2/87
  • Zemcov et al. (2013) Zemcov, M., Arai, T., Battle, J., et al. 2013, ApJS, 207, 31, doi: 10.1088/0067-0049/207/2/31
  • Zubko et al. (2014) Zubko, E., Muinonen, K., Videen, G., & Kiselev, N. N. 2014, Monthly Notices of the Royal Astronomical Society, 440, 2928