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The space coronagraph optical bench (SCoOB): 3. Mueller matrix polarimetry of a coronagraphic exit pupil

Jaren N. Ashcraft James C. Wyant College of Optical Sciences, University of Arizona, 933N Cherry Avenue, Tucson, Arizona, 85721, USA Steward Observatory, University of Arizona, 933N Cherry Avenue, Tucson, Arizona, 85721, USA Ewan S. Douglas Steward Observatory, University of Arizona, 933N Cherry Avenue, Tucson, Arizona, 85721, USA Ramya M. Anche Steward Observatory, University of Arizona, 933N Cherry Avenue, Tucson, Arizona, 85721, USA Kyle Van Gorkom Steward Observatory, University of Arizona, 933N Cherry Avenue, Tucson, Arizona, 85721, USA Emory Jenkins James C. Wyant College of Optical Sciences, University of Arizona, 933N Cherry Avenue, Tucson, Arizona, 85721, USA William Melby Department of Physics, University of California, Santa Barbara, CA, 93106, USA Maxwell A. Millar-Blanchaer Department of Physics, University of California, Santa Barbara, CA, 93106, USA
Abstract

High-contrast imaging in the next decade aims to image exoplanets at smaller angular separations and deeper contrasts than ever before. A problem that has recently garnered attention for telescopes equipped with high-contrast coronagraphs is polarization aberration arising from the optics. These aberrations manifest as low-order aberrations of different magnitudes for orthogonal polarization states and spread light into the dark hole of the coronagraph that cannot be fully corrected. The origin of polarization aberrations has been modeled at the telescope level. However, we don’t fully understand how polarization aberrations arise at the instrument level. To directly measure this effect, we construct a dual-rotating-retarder polarimeter around the SCoOB high-contrast imaging testbed to measure its Mueller matrix. With this matrix, we directly characterize the diattenuation, retardance, and depolarization of the instrument as a function of position in the exit pupil. We measure the polarization aberrations in the Lyot plane to understand how polarization couples into high-contrast imaging residuals.

keywords:
Mueller polarimetry, coronagraphy, polarization aberrations

1 INTRODUCTION

Polarization aberrations are a known limiter to high-contrast imaging in the next decade. In advance of the Astro 2020 decadal survey, the LUVOIR and HabEx studies imposed constraints on the design of their OTA in order to minimize the presence of polarization aberrations that ultimately reach their coronagraphs[gaudi2020habitable, Will_polarization_luvoir]. The next-generation giant segmented mirror telescopes (GSMTs) experience considerable polarization aberration due to the large change in the angle of incidence in the telescope to fit within a reasonably-sized dome [anche2023polarization]. Much work has been done to model the polarization aberrations in astronomical telescopes; however, little is understood about the polarization aberrations at the instrument level.

To achieve 101010^{-10} contrast on a space-borne coronagraph, similar to the one on the future Habitable Worlds Observatory (HWO), the telescope will require unprecedented stability and performance. Quantifying all possible sources of error is necessary in order to achieve this target contrast. Inspired by the CDEEP mission concept[1], the Space Coronagraph Optical Bench (SCoOB )[2, 3, 4, Anche2024] is a vacuum-compatible coronagraph testbed at the University of Arizona’s Space Astrophysics Laboratory aimed at prototyping high-contrast imaging technology for space-based telescopes. SCoOB was designed to achieve high static contrast with relatively low polarization aberration[1], but the polarization aberrations of the coronagraph have never been evaluated. In this study, we construct a polarimeter around SCoOB to understand the presence of polarization aberrations at the coronagraph level.

Measurement of the polarization aberrations of a system requires an understanding of how it transforms the polarization state across a beam. Polarization aberrations are typically computed from the Jones pupil, which is a spatially varying Jones matrix at the exit pupil of an optical system. However, Jones matrices cannot be measured directly. In contrast, the Mueller pupil is a quantity that can be evaluated with a series of power measurements. This loses track of the global phase of the polarization aberration but enables an evaluation of how the polarization state is aberrated with respect to a reference phase. In this study, we seek to measure the Mueller pupil of SCoOB to gain an understanding of the degree of polarization aberration present in coronagraphic instruments. In Section 2, we outline the principle of a dual-rotating-retarder Mueller polarimeter (DRRP) that we use to measure the SCoOB Mueller matrix. In Section 3, we outline the assembly, calibration, and validation of the DRRP in the UA Space Astrophysics Laboratory. In Section 4, we show the results of placing the polarimeter around SCoOB to measure the Mueller pupil of the coronagraph. In Section 5 we evaluate what the results mean for calibrating SCoOB ’s static contrast floor, and outline a path for future investigation.

2 Dual-rotating Retarder Mueller Matrix Polarimetry

The DRRP is a commonly used device for measuring the Mueller matrix of an instrument. The DRRP was first described in Azzam 1978[5], where they describe the determination of a Mueller matrix by Fourier analysis of the detected signal from a device that modulates the polarization state sent to and observed from a unit under test. Smith 2002[6] describes the optimization of the free parameters of the DRRP for fast and precise measurement of the Mueller matrix. Chapter 7 of Chipman, Lam, and Young[7] describes a variation on the data reduction for a DRRP that is computationally simple to implement, which we reproduce in this section.

The Mueller matrices for a linear polarizer (𝐋𝐏\mathbf{LP}) and linear retarder (𝐋𝐑\mathbf{LR}) are given by Equations 1 and 2.

𝐋𝐏(θ)=(1cos(2θ)sin(2θ)0cos(2θ)cos2(2θ)cos(2θ)sin(2θ)0sin(2θ)cos(2θ)sin2(2θ)00000)\mathbf{LP(\theta)}=\begin{pmatrix}1&cos(2\theta)&sin(2\theta)&0\\ cos(2\theta)&cos^{2}(2\theta)&cos(2\theta)sin(2\theta)&0\\ sin(2\theta)&cos(2\theta)&sin^{2}(2\theta)&0\\ 0&0&0&0\\ \end{pmatrix} (1)
𝐋𝐑(θ,δ)=(10000cos2(2θ)+cos(δ)sin2(2θ)(1cos(δ))cos(2θ)sin(2θ)sin(δ)sin(2θ)0(1cos(δ))cos(2θ)sin(2θ)cos(δ)cos2(2θ)+sin2(2θ)cos(2θ)sin(δ)0sin(δ)sin(2θ)sin(δ)cos(2θ)cos(δ))\mathbf{LR(\theta,\delta)}=\begin{pmatrix}1&0&0&0\\ 0&cos^{2}(2\theta)+cos(\delta)sin^{2}(2\theta)&(1-cos(\delta))cos(2\theta)sin(2\theta)&-sin(\delta)sin(2\theta)\\ 0&(1-cos(\delta))cos(2\theta)sin(2\theta)&cos(\delta)cos^{2}(2\theta)+sin^{2}(2\theta)&cos(2\theta)sin(\delta)\\ 0&sin(\delta)sin(2\theta)&-sin(\delta)cos(2\theta)&cos(\delta)\\ \end{pmatrix} (2)

A DRRP can be characterized by a sequence of a source, polarization state generator (𝐏𝐒𝐆(θp,1,θr,1,δr,1)\mathbf{PSG}(\theta_{p,1},\theta_{r,1},\delta_{r,1}), given by Equation 3), a sample to measure, and a polarization state analyzer (𝐏𝐒𝐀(θp,2,θr,2,δr,2)\mathbf{PSA}(\theta_{p,2},\theta_{r,2},\delta_{r,2}), given by Equation 4). A diagram of the DRRP is shown in Figure 1.

𝐏𝐒𝐆=𝐋𝐑(θr,1,δ1)𝐋𝐏(θp,1)\mathbf{PSG}=\mathbf{LR}(\theta_{r,1},\delta_{1})\mathbf{LP}(\theta_{p,1}) (3)
𝐏𝐒𝐀=𝐋𝐏(θp,2)𝐋𝐑(θr,2,δ2)\mathbf{PSA}=\mathbf{LP}(\theta_{p,2})\mathbf{LR}(\theta_{r,2},\delta_{2}) (4)

The DRRP measures the Mueller matrix of a sample 𝐌\mathbf{M} through a series of measurements where the retarders are progressively rotated. In this study, for every nn^{\circ} that the polarization state generator waveplate is stepped, the polarization state analyzer is stepped by 5n5n^{\circ}. However, Smith[6] notes that other angular velocity ratios may be more optimal for rapid polarimetry.

Refer to caption
Figure 1: Diagram illustrating the principle of a DRRP. Starting from some source, light propagates through a fixed linear polarizer (LP) and then a rotating waveplate (WP) that forms the polarization state generator, which modulates the light sent to the sample (𝐌\mathbf{M}). Light from the sample under test then passes through another rotating WP and fixed LP, which modulates the polarization state that the final analyzer sees. This encodes analysis of the polarization state into a series of intensity measurements observed by a detector, which are of a fixed polarization state.

Using a Mueller matrix model of the polarimeter, we construct a polarimetric data reduction matrix 𝐖\mathbf{W} that is given by Equation 5,

𝐖=𝐩𝐬𝐚𝐩𝐬𝐠,\mathbf{W}=\mathbf{psa}\otimes\mathbf{psg}, (5)

where \otimes is the Kronecker product, and 𝐩𝐬𝐠,𝐩𝐬𝐚\mathbf{psg},\mathbf{psa} are the first row and column vectors of the 𝐏𝐒𝐆\mathbf{PSG} and 𝐏𝐒𝐀\mathbf{PSA}, respectively. The Mueller matrix is computed using the pseudo-inverse of 𝐖\mathbf{W}, 𝐖+\mathbf{W}^{+}, multiplied by the vector of observed power 𝐩\mathbf{p}, as shown in Equation 6,

𝐦meas=𝐖+𝐩\mathbf{m}_{meas}=\mathbf{W}^{+}\mathbf{p} (6)

where the result 𝐦meas\mathbf{m}_{meas} is a 16×116\times 1 vector that contains the Mueller matrix.

3 Assembly and Operation of a Dual Rotating-Retarder Mueller Polarimeter

We construct the DRRP facility in the UA Space Astrophysics Laboratory (UASAL) using entirely commercial off-the-shelf components, a list of which is included in the appendix of this manuscript. Figure 2 shows the DRRP assembled in the clean tent in UASAL. We use the Newport Agilis Piezo Motor Driven Rotation Stages with the AG-UC8 controller to rotate the quarter-wave retarders used in the DRRP. These rotation stages are driven via serial communication and lack encoders that indicate their current angular position, so we must calibrate the step sizes of the stages. To provide an open-source platform for serial communication of these rotation stages, we have created the katsu Python package[Ashcraft_Katsu]. katsu utilizes the Pyserial Python package for serial communication with a more user-friendly API than the standard command string interface supplied by Newport111https://www.newport.com/mam/celum/celum_assets/np/resources/Agilis_Piezo_Motor_Driven_Components_User_Manual.pdf?1, and also contains routines for Mueller matrix modeling, polarimetric data reduction, and Mueller matrix analysis. We use katsu for the entirety of the investigations contained in this proceedings.

Refer to caption
Figure 2: The DRRP facility in the UA Space Astrophysics Laboratory. The polarization state generator optics are highlighted in red. The polarization state analyzer optics are highlighted in blue. Shown in green is a translation stage that an optic under test can be mounted in.

3.1 Polarimeter Calibration

The goal of Mueller polarimeter calibration is to determine the most accurate polarimetric data reduction matrix 𝐖\mathbf{W} as possible. To begin the calibration, we first perform an air measurement. We know the Mueller matrix of air to be nearly an identity matrix, which constrains the state of our system. The Mueller matrix of the polarimeter for a given state is then given by Equation 7,

𝐌cal=𝐏𝐒𝐀(θp,2,θr,2,δ2)𝐏𝐒𝐆(θp,1,θr,1,δ1).\mathbf{M}_{cal}=\mathbf{PSA}(\theta_{p,2},\theta_{r,2},\delta_{2})\mathbf{PSG}(\theta_{p,1},\theta_{r,1},\delta_{1}). (7)

The Mcal,0,0M_{cal,0,0} or top-left element of this matrix corresponds to the power measured as a function of the six free parameters. In practice, by alignment of the polarimeter we can get close to understanding the rotation angles of the system. We should also have some idea of the diattenuation of the polarizers and retardance of the retarders based on the manufacturer’s specifications. We use the Newport Agilis series rotation mounts, whose angular steps are unknown. Therefore we also calibrate the angular steps of the mounts in the air measurement. We curve fit to the observed power at the detector plane using the scipy.optimize.minimize function with the BFGS optimizer method. The results using 24 measurements are shown in Figure 3.

Refer to caption
Figure 3: (Left) The measured mean power at the detector plane (shown as blue dots) and the expected model of the power before fitting (shown as a red line). (Right) The measured mean power and expected model after fitting to the 8 free parameters of the polarimeter. This calibration step constrains our Mueller matrix model of the polarimeter.
Parameter Guess Value Calibrated Value
θp,2\theta_{p,2} 90.0090.00^{\circ} 90.0090.00^{\circ}
θr,2\theta_{r,2} 15.0015.00^{\circ} 0.080.08^{\circ}
δ2\delta_{2} 90.0090.00^{\circ} 94.2194.21^{\circ}
Θ2\Theta_{2} 10.0210.02^{\circ} 10.3610.36^{\circ}
θp,1\theta_{p,1} 0.000.00^{\circ} 0.000.00^{\circ}
θr,1\theta_{r,1} 10.00-10.00^{\circ} 0.080.08^{\circ}
δ1\delta_{1} 90.0090.00^{\circ} 92.5092.50^{\circ}
Θ1\Theta_{1} 9.469.46^{\circ} 9.349.34^{\circ}
Table 1: The guess and calibrated free parameters of the DRRP for a sample calibration via measurement of air in Figure 4. The results of performing this calibration are shown in Figure 3. The Θ\Theta symbol corresponds to the angular step taken by the rotation stage.

Fitting the free parameters of our polarimeter to the measured data enables a more accurate understanding of the instrument state, which in turn enables a more accurate polarimetric data reduction matrix. Repeating the same number of measurements with an updated understanding of the instrument state enables a Mueller matrix measurement, which we show in Figure 4 for the case of a simple air (left) and vertical linear polarizer (right) measurement.

Refer to caption
Figure 4: (Left) Spatially-resolved normalized Mueller matrix of air in the presence of nonuniform illumination. The M0,0M_{0,0} element is normalized with respect to the maximum power observed, with a non-uniform illumination pattern. The remaining elements of the Mueller matrix images are normalized to the M00 element and appear to be the expected identity matrix with a minimal signal on the off-diagonals. The maximum RMS error to the identity matrix for this measurement is 5%\approx 5\% in the M2,1M_{2,1} element. (Right) Spatially-resolved non-normalized Mueller matrix image of a vertically oriented linear polarizer in the presence of nonuniform illumination. The M2,1M_{2,1} and M3,1M_{3,1} images reveal a small amount of retardance, indicating that this the optic under test does not behave like a perfect polarizer.

4 Results

To measure the SCoOB Mueller Pupil, we disassemble the polarimeter built in the UASAL laboratory and re-construct it in the TVAC chamber. We then perform an air calibration in the TVAC chamber to calibrate the state of the polarimeter before placing the PSA in the Lyot plane of the coronagraph without the coronagraph mask in, as shown in Figure 5. Here a SuperK tunable laser is used for the source instead of the halogen lamp used for the results in Figure 4. For both the calibration and the measurement of the Mueller Pupil, we take 40 measurements in angular increments of approximately 1010^{\circ} for the PSG waveplate and 5050^{\circ} for the PSA waveplate. We take two measurements, one at 630nm and another at 525nm, to understand how the polarization properties change as a function of wavelength. The results for λ=525nm\lambda=525nm are shown in Figure 6.

Refer to caption
Figure 5: The DRRP Mueller polarimeter assembled around the SCoOB testbed. The components of the polarization state generator are denoted in red. The path of the light through SCoOB is shown in green. The components of the polarization state analyzer are denoted in blue. Note that along the green path, there are an odd number of (9) reflections.
Refer to caption
Figure 6: The normalized Mueller Pupil of SCoOB at λ=525nm\lambda=525nm. The elements of the matrix are normalized element-wise to the M00 element, which is plotted non-normalized in the top-leftmost element to show the pupil illumination. The on-diagonal elements (M00M33M00\rightarrow M33) of the Mueller pupil are nearly what one would expect from a system with an odd number of reflections. The most prominent other signals are the M12M12 and M21M21, which represent retardation of Stokes QUQ\rightarrow U and UQU\rightarrow Q, respectively.

While it is useful to consider the full Mueller pupil of SCoOB , in order to translate this into a diffraction model, we must separate depolarization from the Mueller pupil. Lu and Chipman famously derived an interpretation of Mueller matrices based on the polar decomposition. In this expression, the Mueller matrix can be considered a multiplication of a depolarizer, retarder, and diattenuator [Lu:96], as shown in Equation 8,

𝐌=𝐌Δ𝐌r𝐌d.\mathbf{M}=\mathbf{M}_{\Delta}\mathbf{M}_{r}\mathbf{M}_{d}. (8)

Here 𝐌Δ\mathbf{M}_{\Delta} is the depolarizer, 𝐌r\mathbf{M}_{r} is the retarder, and 𝐌d\mathbf{M}_{d} is the diattenuator. The decomposition method is shown in Lu and Chipman[Lu:96], but we built the algorithm into the Katsu Python package for broader use. Applying the polar decomposition to the Mueller pupil in Figure 6 yields the data in Figures 7 - 9. From these data, we can plot the total diattenuation, retardance, and depolarization of the system. The diattenuation (dd) is given by Equation 9,

d=M012+M022+M032M00.d=\frac{\sqrt{M_{01}^{2}+M_{02}^{2}+M_{03}^{2}}}{M_{00}}. (9)

The retardance (δ\delta) is given by Equation 10,

δ=cos1(Tr(𝐌)21).\delta=cos^{-1}(\frac{Tr(\mathbf{M})}{2}-1). (10)

And the depolarization index (DIDI) is given by Equation 11,

DI(𝐌)=(i,jMi,j2)M0023M00.DI(\mathbf{M})=\frac{\sqrt{(\sum_{i,j}M_{i,j}^{2})-M_{00}^{2}}}{\sqrt{3}M_{00}}. (11)

The polar-decomposed Diattenuator, Retarder, and Depolarizer of the measured Mueller pupil in Figure 6 are given in Figures 7-9. Computing the polarization aberration quantities in Equations 9-11 for the Mueller pupil enables us to view the polarization aberrations of the system across the exit pupil of the coronagraph, which we show in Figure 10. There is a diattenuation across the pupil of approximately 16.5%16.5\% with a standard deviation of 7.3%7.3\%. Furthermore, we observe nonuniform behavior in the retardance plot that has a standard deviation of approximately 0.030.03 radians, or λ/200\approx\lambda/200. The depolarization index across the pupil is very near 1, indicating a lack of depolarization in the system. The standard deviation of these data is 5%\approx 5\%, but much of that signal is dominated by artifacts from the dust diffraction, so the depolarization of the coronagraph should be less than that.

Refer to caption
Figure 7: The normalized Diattenuator Mueller Matrix of SCoOB from the polar decomposition performed in Figure 6. The color bar limits are set to highlight the detail in the first row and column on the Mueller matrix. The on-diagonals of this matrix are an array of ones and lie off the color bar scale.
Refer to caption
Figure 8: The normalized Retarder Mueller Matrix of SCoOB from the polar decomposition performed in Figure 6. The color bar limits are set to highlight the detail in the bottom-most 3×33\times 3 elements of the Mueller matrix. The M33 element is an array of negative ones and lies off the color bar scale.
Refer to caption
Figure 9: The normalized Depolarizer Mueller Matrix of SCoOB from the polar decomposition performed in Figure 6. The color bar limits are set to highlight the detail in the Mueller matrix. The on-diagonals of this matrix are an array of ones, and lie off the colorbar scale.
Refer to caption
Figure 10: The diattenuation (left), retardance (middle), and depolarization index (right), of the Mueller pupil data for SCoOB . The mean value of the diattenuation is 16.5%16.5\%, and the standard deviation of the retardance is 0.030.03 radians. The depolarization is very near 1, indicating that there is not a substantial amount of depolarization in the system. Many of the high-frequency structure present in these data is the result of diffraction from dust on the rotating optics and are not indicative of coronagraph performance. However, the mid-frequency structure (4-5 cycles/pupil) indicates polarization aberration from coating nonuniformity or anisotropy.

The mid-frequency structure that is apparent in Figures 6 - 10 is perhaps the most interesting result of this study. They are of a higher spatial order than is predicted by typical polarization ray traces of simple systems (tilt/focus-like shapes), and consequently, their origin is unknown. Note that these patterns are not present in the laboratory measurements of air and a linear polarizer in Figure 4. Most likely, we are observing the influence of imperfect coatings on the polarized exit pupil of the coronagraph. Understanding how these effects translate to the minimum achievable contrast of the coronagraph will be critical to assessing how sensitive coronagraphs are to coating nonuniformity.

For a preliminary analysis into the impact of the as-measured polarization aberrations on SCoOB ’s contrast floor, we can convert the non-depolarizing Mueller pupil into a Jones pupil and propagate it through a charge-6 vector vortex coronagraph using HCIPy[por2018hcipy]. The computation of the Jones pupil is illustrated by Equation 12,

𝐉=(AxxAxyei(ϕxyϕxx)Ayxei(ϕyxϕxx)Ayyei(ϕyyϕxx)).\mathbf{J}=\begin{pmatrix}A_{xx}&A_{xy}e^{i(\phi_{xy}-\phi_{xx})}\\ A_{yx}e^{i(\phi_{yx}-\phi_{xx})}&A_{yy}e^{i(\phi_{yy}-\phi_{xx})}\\ \end{pmatrix}. (12)

Where the amplitudes are given by Equations 13-16, and the relative phases are given by Equations 17-19. Note that while the amplitudes are completely determined, the phases must be determined relative to some reference because global phase is lost when measuring intensity. The Jones matrix and corresponding focal plane after propagation through a charge-6 vector vortex coronagraph with an 80%80\% diameter Lyot stop is shown in Figure 11. The as-measured polarization aberrations appear to result in a degradation of the normalized intensity from 45λ/D4-5\lambda/D, but as shown in Van Gorkom et al (these proceedings)[4], after the application of focal plane wavefront sensing and control, SCoOB is capable of reaching contrasts of 108109\approx 10^{-8}-10^{-9}. Therefore, we know that these polarized wavefront errors are not fundamentally limiting at these locations on the focal plane. In future work we will assess the influence of these as-measured polarization aberrations on a simulated SCoOB dark hole in the presence of wavefront sensing and control.

Axx=M00+M01+M10+M112A_{xx}=\frac{\sqrt{M_{00}+M_{01}+M_{10}+M_{11}}}{2} (13)
Axy=M00M01+M10M112A_{xy}=\frac{\sqrt{M_{00}-M_{01}+M_{10}-M_{11}}}{2} (14)
Ayx=M00+M01M10M112A_{yx}=\frac{\sqrt{M_{00}+M_{01}-M_{10}-M_{11}}}{2} (15)
Ayy=M00M01M10+M112A_{yy}=\frac{\sqrt{M_{00}-M_{01}-M_{10}+M_{11}}}{2} (16)
ϕxxϕxy=tan1(M03+M13M02+M12)\phi_{xx}-\phi_{xy}=tan^{-1}(\frac{M_{03}+M_{13}}{M02+M12}) (17)
ϕyxϕxx=tan1(M30+M31M20+M21)\phi_{yx}-\phi_{xx}=tan^{-1}(\frac{M_{30}+M_{31}}{M20+M21}) (18)
ϕyyϕxx=tan1(M32+M23M22+M33)\phi_{yy}-\phi_{xx}=tan^{-1}(\frac{M_{32}+M_{23}}{M22+M33}) (19)
Refer to caption
Figure 11: (Left) The Jones pupil computed from the Mueller pupil in Figure 6 using Equation 12. We low-pass filter the Jones pupil by representing it as the first 150 Noll-indexed Zernike polynomials so that the artifacts from the dust diffraction are removed from the data. The Jones pupil is then propagated through a charge-6 vector vortex coronagraph, which is shown in units of normalized intensity on the right. The mid-spatial frequency errors manifest as residuals of 106\approx 10^{-6} normalized intensity from 45λ/D4-5\lambda/D. Note that these data are uncompensated, and are not representative of the focal plane after wavefront control. As shown in Van Gorkom et al[4], SCoOB is presently capable of getting to 10810910^{-8}-10^{-9} contrast from 310λ/D3-10\lambda/D. Therefore the influence of these polarized ghosts subject to wavefront control algorithms needs to be studied in future work.

5 Discussion

This study introduces the dual-rotating-retarder Mueller polarimeter as a characterization methodology for assessing the polarized performance of coronagraphic optical systems. We built our methods and data reduction into an open-source Python package called katsu, which is freely available on GitHub. Using katsu, we illustrate the principle of dual-rotating-retarder Mueller polarimetry in the lab for simple optical element characterization and then apply it to the polarimetry of the SCoOB testbed. We find a nominal diattenuation of 16.5%16.5\%, and a retardance standard deviation of ±λ/200\pm\lambda/200, with little depolarization. We also observe a clear mid-frequency (4-5 cycles/pupil) structure in each of the elements of the Mueller pupil and corresponding polarization aberration pupils in Figure 10. Understanding the influence of this aberration will be the subject of future work to calibrate the static contrast floor of SCoOB .

Understanding the origin of the mid-frequency aberration revealed in this study is a key next step for this work. However, characterizing film uniformity across an aperture is a non-trivial task. In principle, this could be achieved through ellipsometry. By depositing the same mirror coating used for the SCoOB mirrors on a flat substrate, the ellipsometric characteristics can be studied at multiple points across the substrate. These data can be fit to a layer model that includes a refractive index tensor to more precisely understand the degree of birefringence in the system.

Acknowledgements.
This work was supported by a NASA Space Technology Graduate Research Opportunity. The research presented in these proceedings was predominantly conducted with open-source software, including: Poke[Ashcraft_2023], Katsu[Ashcraft_Katsu], HCIPy[por2018hcipy], numpy[harris2020array], scipy[2020SciPy-NMeth], matplotlib[Hunter:2007], and IPython[PER-GRA:2007].

6 Appendix:

Refer to caption
Figure 12: The normalized Mueller Pupil of SCoOB at λ=630nm\lambda=630nm. The elements of the matrix are normalized element-wise to the M00 element, which is plotted non-normalized in the top-leftmost element to show the pupil illumination. The on-diagonal elements (M00M33M00\rightarrow M33) of the Mueller pupil are nearly what one would expect from a system with an odd number of reflections. This Mueller Matrix image reveals a greater linear diattenuation in the first row of the Mueller matrix and less retardance that couples Stokes QUQ\rightarrow U and UQU\rightarrow Q, respectively.
Refer to caption
Figure 13: Un-normalized Mueller matrix at λ=525nm\lambda=525nm.
Vendor Part
Thorlabs Stabilized Tungsten-Halogen Light Source SLS201L
NKT Photonics SuperK COMPACT white light laser
Newport Agilis PR100-V6
Newport Agilis AG-UC8 Controller
Meadowlark High-contrast Linear Polarizer
BVO Quarter-wave Plate
Table 2: Table of critical components used in the polarimeter assembled in UASAL. Additional mounting hardware available from Thorlabs and Newport were used to mount the optics, but the precise models are not critical to this study.

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