AGORA (AI GOvernance and Regulatory Archive) is a living collection of AI-relevant laws, regulations, standards, and other governance documents. This dataset includes bulk metadata, summaries, and text for all AGORA documents. For further details, licensing, and full credits, visit the official documentation.AGORA is a project of the Emerging Technology Observatory.

The files included in this dataset include the ephemerides, light curve data, attitude estimation results, and material sensitivity results for Robinson et al.:@article{robinson2025ltb,title = {Material Property Sensitivity of Light Curve Attitude Estimation for the Lunar Trailblazer},journal = {Earth and Space Science},note = {Submitting for the Lunar Trailblazer special issue},year = {2025},volume = {},number = {},author = {Liam Robinson and Amanda Steckel and Carolin Frueh and Bethany Ehlmann}} The data is broken up into:ephem.parquet: Ephemeris data for LTB from the JPL Horizons web service with columns:utc: The UTC datetime of each data pointr_j2000_km: The position vector of LTB in the J2000 coordinate system in kilometersdf_in_{gemini49,lowell310}.parquet: Light curve data from the Gemini and Lowell observatories with columns:dates: the UTC datetime of each photometric measurementovi: The direction of the observer in inertial (J2000) space from the center of mass of LTB, unit vectorsvi: The direction of the Sun in inertial (J2000) space from the center of mass of LTB, unit vectorirrad: The photometric brightness of LTB, reduced from the raw FITS files and rescaled [dimensionless, proportional to the observed analog-to-digital unit (ADU) counts]irrad_sigma: The standard deviation of the irrad column derived from the image background and the Poisson statistics of the photon counting process [same dimensions as irrad]epsecs: Seconds after the first observation in the current light curve{1,2}{L,G}.parquet: Local minimum attitude state estimates produced by the inversion algorithm described in the work for each of the results cases (1L, 2L, 1G, 2G) described in the work, with columns:index: The sampling index of the initial conditionfun: The objective function value at the converged minimumxk: The converged state vector valuex0: The initial state vector value before optimizationmessage: The output message of the BFGS solveriterations: The number of iterations of BFGS required to reach convergencefeval: The number of objective function evaluations required to reach convergencegeval: The number of gradient evaluations required to reach convergencegradient: The gradient vector at xkhessian_inverse: The BFGS approximation of the inverse Hessian matrix at xklcs: The predicted light curve signal produced by the state xk at each of the observation timesepsecs: The number of seconds past the initial observation corresponding to each entry of lcsobj_file_path: The shape file path used for the inversion casesubsteps: The number of propagation substeps used to simulate each light curve observationself_shadowing: Whether self-shadowing effects are accounted for, always True for this workvary_global_mats: Irrelevant for this work, always Falsevary_itensor: Irrelevant for this work, always Falsecache_size: The size of the azimuth and elevation dimensions of the shadow cachecs_scale: Irrelevant for this work, always 0n_scale: Irrelevant for this work, always 0i_scale: Irrelevant for this work, always 0iratios: Inertia ratios of the spacecraftfinite_difference_step_size: Step size to compute gradients within BFGSmats: Materials assigned to each face of the objectcds: Coefficients of diffuse reflectivity of each face of the objectcss: Coefficients of specular reflectivity of each face of the objectns: Third BRDF parameter (e.g., surface roughness or specular exponent)2{L,G}ms.parquet: The sensitivity information of the top 200 solutions to the 2L and 2G results cases to deviations in the spacecraft's surface reflectivity properties.sol_ind: Row index of the solution in the corresponding 2{L,G}.parquet filemat: The name of the materialang{cd,cs,n}: The angular deviation in orientation expected for a 10% deviation in the coefficients of diffuse (cd) or specular (cs) reflectivity, or the surface roughness (n).period_mins_nom: The nominal spin rate of this solution in minutesperiod_mins{cd,cs,n}: The perturbed spin rate of this solution expected for a 10% deviation in the coefficients of diffuse (cd) or specular (cs) reflectivity, or the surface roughness (n).

The files included in this dataset include the ephemerides, light curve data, attitude estimation results, and material sensitivity results for Robinson et al.:@article{robinson2025ltb,title = {Material Property Sensitivity of Light Curve Attitude Estimation for the Lunar Trailblazer},journal = {Earth and Space Science},note = {Submitting for the Lunar Trailblazer special issue},year = {2025},volume = {},number = {},author = {Liam Robinson and Amanda Steckel and Carolin Frueh and Bethany Ehlmann}} The data is broken up into:ephem.parquet: Ephemeris data for LTB from the JPL Horizons web service with columns:utc: The UTC datetime of each data pointr_j2000_km: The position vector of LTB in the J2000 coordinate system in kilometersdf_in_{gemini49,lowell310}.parquet: Light curve data from the Gemini and Lowell observatories with columns:dates: the UTC datetime of each photometric measurementovi: The direction of the observer in inertial (J2000) space from the center of mass of LTB, unit vectorsvi: The direction of the Sun in inertial (J2000) space from the center of mass of LTB, unit vectorirrad: The photometric brightness of LTB, reduced from the raw FITS files and rescaled [dimensionless, proportional to the observed analog-to-digital unit (ADU) counts]irrad_sigma: The standard deviation of the irrad column derived from the image background and the Poisson statistics of the photon counting process [same dimensions as irrad]epsecs: Seconds after the first observation in the current light curve{1,2}{L,G}.parquet: Local minimum attitude state estimates produced by the inversion algorithm described in the work for each of the results cases (1L, 2L, 1G, 2G) described in the work, with columns:index: The sampling index of the initial conditionfun: The objective function value at the converged minimumxk: The converged state vector valuex0: The initial state vector value before optimizationmessage: The output message of the BFGS solveriterations: The number of iterations of BFGS required to reach convergencefeval: The number of objective function evaluations required to reach convergencegeval: The number of gradient evaluations required to reach convergencegradient: The gradient vector at xkhessian_inverse: The BFGS approximation of the inverse Hessian matrix at xklcs: The predicted light curve signal produced by the state xk at each of the observation timesepsecs: The number of seconds past the initial observation corresponding to each entry of lcsobj_file_path: The shape file path used for the inversion casesubsteps: The number of propagation substeps used to simulate each light curve observationself_shadowing: Whether self-shadowing effects are accounted for, always True for this workvary_global_mats: Irrelevant for this work, always Falsevary_itensor: Irrelevant for this work, always Falsecache_size: The size of the azimuth and elevation dimensions of the shadow cachecs_scale: Irrelevant for this work, always 0n_scale: Irrelevant for this work, always 0i_scale: Irrelevant for this work, always 0iratios: Inertia ratios of the spacecraftfinite_difference_step_size: Step size to compute gradients within BFGSmats: Materials assigned to each face of the objectcds: Coefficients of diffuse reflectivity of each face of the objectcss: Coefficients of specular reflectivity of each face of the objectns: Third BRDF parameter (e.g., surface roughness or specular exponent)2{L,G}ms.parquet: The sensitivity information of the top 200 solutions to the 2L and 2G results cases to deviations in the spacecraft's surface reflectivity properties.sol_ind: Row index of the solution in the corresponding 2{L,G}.parquet filemat: The name of the materialang{cd,cs,n}: The angular deviation in orientation expected for a 10% deviation in the coefficients of diffuse (cd) or specular (cs) reflectivity, or the surface roughness (n).period_mins_nom: The nominal spin rate of this solution in minutesperiod_mins{cd,cs,n}: The perturbed spin rate of this solution expected for a 10% deviation in the coefficients of diffuse (cd) or specular (cs) reflectivity, or the surface roughness (n).

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AGORA (AI GOvernance and Regulatory Archive) is a living collection of AI-relevant laws, regulations, standards, and other governance documents. This dataset includes bulk metadata, summaries, and text for all AGORA documents. For further details, licensing, and full credits, visit the official documentation.AGORA is a project of the Emerging Technology Observatory.

AGORA (AI GOvernance and Regulatory Archive) is a living collection of AI-relevant laws, regulations, standards, and other governance documents. This dataset includes bulk metadata, summaries, and text for all AGORA documents. For further details, licensing, and full credits, visit the official documentation.AGORA is a project of the Emerging Technology Observatory.

AGORA (AI GOvernance and Regulatory Archive) is a living collection of AI-relevant laws, regulations, standards, and other governance documents. This dataset includes bulk metadata, summaries, and text for all AGORA documents. For further details, licensing, and full credits, visit the official documentation.AGORA is a project of the Emerging Technology Observatory.

AGORA (AI GOvernance and Regulatory Archive) is a living collection of AI-relevant laws, regulations, standards, and other governance documents. This dataset includes bulk metadata, summaries, and text for all AGORA documents. For further details, licensing, and full credits, visit the official documentation.AGORA is a project of the Emerging Technology Observatory.