Disk-‐Integrated Measurements of the Moon in the Ultraviolet

Total Page:16

File Type:pdf, Size:1020Kb

Disk-‐Integrated Measurements of the Moon in the Ultraviolet Disk-integrated measurements of the Moon in the ultraviolet Greg Holsclaw [email protected], Mar=n Snow, Bill McClintock, Tom Woods Laboratory for Atmospheric and Space Physics University of Colorado CALCON 2012 Outline • The SOLSTICE instrument • Observaons • Data Processing • Results – Reflectance – Photometric fits – Polarizaon • Conclusions 2 SOLar STellar Irradiance Comparison Experiment (SOLSTICE) • Measures solar irradiance in ultraviolet – 115-180 nm Far Ultraviolet (FUV) – 180-300 nm Middle Ultraviolet (MUV) • Measures stellar irradiance for tracking long term degradaon • On board SORCE: – Low Earth Orbit 3 Solar-Stellar Rao Need a large dynamic range (~109) to measure both Sun and stars with same op=cs and detectors 4 SOLSTICE Layout • Scanning grang monochromator • Operates as an objec=ve grang spectrometer in stellar mode • Change entrance aperture 2x104 • Widen exit slit 10 or 20 • Lengthen integraon 103 5 UV presents unique challenges • Solar variability – Visible wavelengths (>400nm): ~0.1% – Middle-ultraviolet (200-300nm): ~2-3% – Far-ultraviolet (115-200nm): 10-40% • Poorly characterized calibraon targets – Ground calibraon of UV instruments has a high uncertainty – Hot, bright stars are frequently used in-flight but previous measurements also have a high uncertainty 6 Lunar Observing Campaign • June 2006 to December 2010 • Added the Moon to the schedule of eclipse calibraon ac=vi=es • On average, we observed one disk-integrated spectrum per day in each channel – Over 1000 complete spectra in each channel • NASA Grant: LASP Lunar Albedo Measurement and Analysis from SOLSTICE (LLAMAS) 7 Phase angle coverage 30 bin size = 5 deg FUV MUV 25 20 Min Abs( phase ) 0.1° Min phase -171.7° 15 Max phase 168.6° 10 number of observations 5 0 -180 -135 -90 -45 0 45 90 135 180 phase angle (degrees) 8 Wavelength and phase coverage in context SSBUV (MESSENGER) ROLO GOME SOLSTICE (Galileo) (SNOE) (Cassini) (HUT) (Mariner 10) (Apollo 17) NOZOMI 9 Derivaon of reflectance Note that by making both Solar and Lunar EM CM AS ΔλS = Γ irradiance measurements ES CS AM ΔλM with SOLSTICE, all calibraon terms cancel out except for E / Ω knowledge of the r = M M aperture areas and a single correc=on factor ES /π (Gamma). 10 Example reflectance and phase curves 0.08 100 20deg phase 10-1 0.06 MUV, 280nm 10-2 0.04 FUV, 170nm -3 reflectance reflectance 10 0.02 10-4 0.00 10-5 100 150 200 250 300 -180 -135 -90 -45 0 45 90 135 180 wavelength (nm) phase angle (degrees) 11 242 7. Absolute Irradiance of the Moon Systemac correc=ons • Vigneng (1-3 % for MUV, 5-10% for FUV) • Wavelength shiks (~1-2 nm) • Changes in resolu=on with phase and roll angle • Polarizaon (not yet applied, discussed later) Figure 7.5: Position of the Moon in the field-of-view of the instrument for a few typical observations. The axes are the pitch and yaw directions for the instrument. 12 The crosses show the position of the center of the lunar disk as it drifts away from the center of the FOV during the observation. The spacecraft is periodically re-pointed to the new position of the Moon to re-center it, but during each such maneuver, the roll angle of the spacecraft is allowed to change, so the new direction of the Moon’s drift can be different after each re-pointing. Vigneng dispersion plane cross-dispersion plane 1.00 1.00 0.95 0.95 0.90 0.90 100nm 100nm 0.85 150nm 0.85 150nm fraction 200nm fraction 200nm 250nm 250nm 0.80 300nm 0.80 300nm 350nm 350nm 0.75 0.75 0.70 0.70 -30 -20 -10 0 10 20 30 -30 -20 -10 0 10 20 30 angle (arcmin) angle (arcmin) Frac=on of light that reaches the detector as a func=on of target posi=on (from Zemax raytrace) 13 Variaon in resolu=on FUV MUV 1.0 1.0 0deg 0deg 150nm 60deg 250nm 60deg 90deg 90deg 0.8 120deg 0.8 120deg 0.6 0.6 0.4 0.4 0.2 0.2 -3 -2 -1 0 1 2 3 -3 -2 -1 0 1 2 3 wavelength (nm) wavelength (nm) Point-spread func=on in each channel at four different phase angles (0deg s/c rotaon) 14 Photometric modeling • Polynomial – 7th order polynomial used to fit wide phase range Mercury observaons from SOHO [Mallama et al, 2002, Icarus 155] – Simple, but nonphysical • ROLO – Empirical model, but tailored to the shape of the lunar phase curve – Achieves good fits (~1% rms) of visible, IR measurements [Kieffer and Stone, 2005, Astron J 129] – Only valid for phase range 1.6° to 97° • Hapke – Semi-physical coefficients related to surface proper=es – Widely used, long history – Non-unique without resolved data [Domingue and Hapke 1989, Icarus 78] 15 7th order polynomial fit 100 10-1 data fit • 280nm 10-2 10-3 • Residual reflectance 10-4 systemac 10-5 structure -180 -135 -90 -45 0 45 90 135 180 phase angle (deg) evident at small data / fit and possibly 1.4 +/- 5% sdv = 0.068 large phase 1.2 angles 1.0 ratio 0.8 • Posi=ve and 0.6 negave phases -180 -135 -90 -45 0 45 90 135 180 fit phase angle (deg) independently 16 ROLO photometric func=on fit 100 10-1 data fit • Only fit to phase 10-2 range 1.6° to 97° 10-3 • reflectance Missing linear 10-4 term? 10-5 -180 -135 -90 -45 0 45 90 135 180 • No other phase angle (deg) obvious data / fit systemac 1.4 +/- 5% sdv = 0.055 variaon 1.2 • Need to add 1.0 func=onal terms ratio 0.8 to represent 0.6 turn down at -180 -135 -90 -45 0 45 90 135 180 large phase phase angle (deg) 17 Hapke fit 100 10-1 data fit -2 • 10 No separaon 10-3 of posive 10-4 and negave -5 disk-equivalent albedo 10 -180 -135 -90 -45 0 45 90 135 180 phases phase angle (degrees) • data / fit Significant 1.4 systemac +/- 5% sdv = 0.148 1.2 structure 1.0 ratio 0.8 0.6 -180 -135 -90 -45 0 45 90 135 180 phase angle (degrees) 18 Lunar Polarizaon Volcanic “per mille” or Ash “per thousand” symbol Mare Moon Highlands Lyot, 1929 1971, Dollfus & Bowell 19 Instrument polarizaon response 0.025 0.020 H Instrument 0.015 sensi=vity due to 0.010 V sensitivity polarized light at 0.005 0.000 two orientaons 180 200 220 240 260 280 wavelength (nm) 0.8 (H-V)/(H+V) 0.6 Derived linear 0.4 polarizaon polarization 0.2 sensi=vity 0.0 180 200 220 240 260 280 wavelength (nm) 20 Variaon in roll angle enables polarizaon measurement 180 135 90 roll angle (degrees) 45 FUV MUV 0 -180 -135 -90 -45 0 45 90 135 180 Geometry of an observaon. The scaering phase angle (degrees) plane is defined by the Sun, Moon, and observer (spacecra). The spacecra roll Distribu=on of sampled roll angle, θ, is defined between one spacecra axis and the normal to the scaering plane. angles at each phase angle. 21 Calculang Polarizaon Frac=on We can express the measured signal in terms of the spacecra roll angle, θ C(!,") = A + Bcos2" The polarizaon of the lunar irradiance is then given by: B 1 PM = ! A PI 22 Extrac=ng Pm For each wavelength and phase angle, we can find A and B using least-squares fing algorithm. 280nm, 10deg 280nm, 80deg 0.10 0.014 0.012 0.08 0.010 0.06 0.008 0.006 0.04 0.004 disk-equivalent albedo 0.02 data disk-equivalent albedo data model fit 0.002 model fit 0.00 0.000 0 45 90 135 180 0 45 90 135 180 roll angle (deg) roll angle (deg) 23 Polarizaon vs Phase 24 Polarizaon 0.25 WUPPE (not full disk) [8] waning waxing 0.20 SOLSTICE 0.15 0.10 Coyne & Pellicori [7] polarization 0.05 60° phase 0.00 200 300 400 500 wavelength (nm) Fox et al, 1998, WUPPE, MNRAS 298 Coyne & Pellicori, 1970, Astron. J. 75 25 Conclusions • SOLSTICE observes both the Sun and Moon directly, leading to a uniquely accurate measure of reflectance • Wide phase coverage: -170 to +170° • Wide UV wavelength coverage: 121, 130 - 300 nm • Photometric modeling will enable the use of the integrated Moon as a UV calibraon target – FUV requires nearly simultaneous solar spectrum • Need to improve correc=ons for systemac effects (resolu=on, wavelength, vigneng, polarizaon) such that residuals are on the order of random uncertainty • Ul=mately, reduced data and model will be available to the public 26 Acknowledgements & References Coyne GV, Pellicori SF (1970) Wavelength dependence of polarizaon. xx. the integrated disk of the moon. Astron J. 75:54-60. doi:10.1086/110940 Domingue, D. and Hapke, B. (1989) Fing Theore=cal Photometric Func=ons to Asteroid Phase Curves, Icarus 78, 330-336. Fox GK, Code AD, Anderson CM, Babler BL, Bjorkman KS, Johnson JJ, Meade MR, Nordsieck KH, Weitenbeck AJ, Zellner NEB (1998) Solar system observaons by the wisconsin utraviolet photopolarimeter experiment — iii. the first ultraviolet linear spectropolarimetry of the moon. MNRAS 298:303-309. doi:10.1046/j.1365-8711.1998.01633.x Kieffer, H. and Stone, T. (2005) The spectral irradiance of the Moon, Astron. J. 129, 2887-2901 Snow, M., Holsclaw, G., McClintock, W. E., and Woods T. N. (2012) Absolute ultraviolet irradiance of the Moon from the LASP Lunar Albedo Measurement and Analysis from SOLSTICE (LLAMAS) project.
Recommended publications
  • The University of Chicago Glimpses of Far Away
    THE UNIVERSITY OF CHICAGO GLIMPSES OF FAR AWAY PLACES: INTENSIVE ATMOSPHERE CHARACTERIZATION OF EXTRASOLAR PLANETS A DISSERTATION SUBMITTED TO THE FACULTY OF THE DIVISION OF THE PHYSICAL SCIENCES IN CANDIDACY FOR THE DEGREE OF DOCTOR OF PHILOSOPHY DEPARTMENT OF ASTRONOMY AND ASTROPHYSICS BY LAURA KREIDBERG CHICAGO, ILLINOIS AUGUST 2016 Copyright c 2016 by Laura Kreidberg All Rights Reserved Far away places with strange sounding names Far away over the sea Those far away places with strange sounding names Are calling, calling me. { Joan Whitney & Alex Kramer TABLE OF CONTENTS LIST OF FIGURES . vii LIST OF TABLES . ix ACKNOWLEDGMENTS . x ABSTRACT . xi 1 INTRODUCTION . 1 1.1 Exoplanets' Greatest Hits, 1995 - present . 1 1.2 Moving from Discovery to Characterization . 2 1.2.1 Clues from Planetary Atmospheres I: How Do Planets Form? . 2 1.2.2 Clues from Planetary Atmospheres II: What are Planets Like? . 3 1.2.3 Goals for This Work . 4 1.3 Overview of Atmosphere Characterization Techniques . 4 1.3.1 Transmission Spectroscopy . 5 1.3.2 Emission Spectroscopy . 5 1.4 Technical Breakthroughs Enabling Atmospheric Studies . 7 1.5 Chapter Summaries . 10 2 CLOUDS IN THE ATMOSPHERE OF THE SUPER-EARTH EXOPLANET GJ 1214b . 12 2.1 Introduction . 12 2.2 Observations and Data Reduction . 13 2.3 Implications for the Atmosphere . 14 2.4 Conclusions . 18 3 A PRECISE WATER ABUNDANCE MEASUREMENT FOR THE HOT JUPITER WASP-43b . 21 3.1 Introduction . 21 3.2 Observations and Data Reduction . 23 3.3 Analysis . 24 3.4 Results . 27 3.4.1 Constraints from the Emission Spectrum .
    [Show full text]
  • REVIEW Doi:10.1038/Nature13782
    REVIEW doi:10.1038/nature13782 Highlights in the study of exoplanet atmospheres Adam S. Burrows1 Exoplanets are now being discovered in profusion. To understand their character, however, we require spectral models and data. These elements of remote sensing can yield temperatures, compositions and even weather patterns, but only if significant improvements in both the parameter retrieval process and measurements are made. Despite heroic efforts to garner constraining data on exoplanet atmospheres and dynamics, reliable interpretation has frequently lagged behind ambition. I summarize the most productive, and at times novel, methods used to probe exoplanet atmospheres; highlight some of the most interesting results obtained; and suggest various broad theoretical topics in which further work could pay significant dividends. he modern era of exoplanet research started in 1995 with the Earth-like planet requires the ability to measure transit depths 100 times discovery of the planet 51 Pegasi b1, when astronomers detected more precisely. It was not long before many hundreds of gas giants were the periodic radial-velocity Doppler wobble in its star, 51 Peg, detected both in transit and by the radial-velocity method, the former Tinduced by the planet’s nearly circular orbit. With these data, and requiring modest equipment and the latter requiring larger telescopes knowledge of the star, the orbital period (P) and semi-major axis (a) with state-of-the-art spectrometers with which to measure the small could be derived, and the planet’s mass constrained. However, the incli- stellar wobbles. Both techniques favour close-in giants, so for many nation of the planet’s orbit was unknown and, therefore, only a lower years these objects dominated the bestiary of known exoplanets.
    [Show full text]
  • The Spherical Bolometric Albedo of Planet Mercury
    The Spherical Bolometric Albedo of Planet Mercury Anthony Mallama 14012 Lancaster Lane Bowie, MD, 20715, USA [email protected] 2017 March 7 1 Abstract Published reflectance data covering several different wavelength intervals has been combined and analyzed in order to determine the spherical bolometric albedo of Mercury. The resulting value of 0.088 +/- 0.003 spans wavelengths from 0 to 4 μm which includes over 99% of the solar flux. This bolometric result is greater than the value determined between 0.43 and 1.01 μm by Domingue et al. (2011, Planet. Space Sci., 59, 1853-1872). The difference is due to higher reflectivity at wavelengths beyond 1.01 μm. The average effective blackbody temperature of Mercury corresponding to the newly determined albedo is 436.3 K. This temperature takes into account the eccentricity of the planet’s orbit (Méndez and Rivera-Valetín. 2017. ApJL, 837, L1). Key words: Mercury, albedo 2 1. Introduction Reflected sunlight is an important aspect of planetary surface studies and it can be quantified in several ways. Mayorga et al. (2016) give a comprehensive set of definitions which are briefly summarized here. The geometric albedo represents sunlight reflected straight back in the direction from which it came. This geometry is referred to as zero phase angle or opposition. The phase curve is the amount of sunlight reflected as a function of the phase angle. The phase angle is defined as the angle between the Sun and the sensor as measured at the planet. The spherical albedo is the ratio of sunlight reflected in all directions to that which is incident on the body.
    [Show full text]
  • Physical Characterization of NEA Large Super-Fast Rotator (436724) 2011 UW158
    EPJ manuscript No. (will be inserted by the editor) Physical characterization of NEA Large Super-Fast Rotator (436724) 2011 UW158 A. Carbognani1, B. L. Gary2, J. Oey3, G. Baj4, and P. Bacci5 1 Astronomical Observatory of the Autonomous Region of Aosta Valley (OAVdA), Aosta - Italy 2 Hereford Arizona Observatory (Hereford, Cochise - U.S.A.) 3 Blue Mountains Observatory (Leura, Sydney - Australia) 4 Astronomical Station of Monteviasco (Monteviasco, Varese - Italy) 5 Astronomical Observatory of San Marcello Pistoiese (San Marcello Pistoiese, Pistoia - Italy) Received: date / Revised version: date Abstract. Asteroids of size larger than 0.15 km generally do not have periods smaller than 2.2 hours, a limit known as cohesionless spin-barrier. This barrier can be explained by the cohesionless rubble-pile structure model. There are few exceptions to this “rule”, called LSFRs (Large Super-Fast Rotators), as (455213) 2001 OE84, (335433) 2005 UW163 and 2011 XA3. The near-Earth asteroid (436724) 2011 UW158 was followed by an international team of optical and radar observers in 2015 during the flyby with Earth. It was discovered that this NEA is a new candidate LSFR. With the collected lightcurves from optical observations we are able to obtain the amplitude-phase relationship, sideral rotation period (PS = 0.610752 ± 0.000001 ◦ ◦ ◦ ◦ h), a unique spin axis solution with ecliptic coordinates λ = 290 ± 3 , β = 39 ± 2 and the asteroid 3D model. This model is in qualitative agreement with the results from radar observations. PACS. PACS-key discribing text of that key – PACS-key discribing text of that key 1 Introduction The near-Earth asteroid (436724) 2011 UW158 was discovered on 2011 Oct 25 by the Pan-STARRS 1 Observatory at Haleakala (Hawaii, USA).
    [Show full text]
  • The H and G Magnitude System for Asteroids
    Meetings The BAA Observers’ Workshops The H and G magnitude system for asteroids This article is based on a presentation given at the Observers’ Workshop held at the Open University in Milton Keynes on 2007 February 24. It can be viewed on the Asteroids & Remote Planets Section website at http://homepage.ntlworld.com/ roger.dymock/index.htm When you look at an asteroid through the eyepiece of a telescope or on a CCD image it is a rather unexciting point of light. However by analysing a number of images, information on the nature of the object can be gleaned. Frequent (say every minute or few min- Figure 2. The inclined orbit of (23) Thalia at opposition. utes) measurements of magnitude over periods of several hours can be used to generate a lightcurve. Analysis of such a lightcurve Absolute magnitude, H: the V-band magnitude of an asteroid if yields the period, shape and pole orientation of the object. it were 1 AU from the Earth and 1 AU from the Sun and fully Measurements of position (astrometry) can be used to calculate illuminated, i.e. at zero phase angle (actually a geometrically the orbit of the asteroid and thus its distance from the Earth and the impossible situation). H can be calculated from the equation Sun at the time of the observations. These distances must be known H = H(α) + 2.5log[(1−G)φ (α) + G φ (α)], where: in order for the absolute magnitude, H and the slope parameter, G 1 2 φ (α) = exp{−A (tan½ α)Bi} to be calculated (it is common for G to be given a nominal value of i i i = 1 or 2, A = 3.33, A = 1.87, B = 0.63 and B = 1.22 0.015).
    [Show full text]
  • PHASE CURVE of LUNAR COLOR RATIO. Yu. I. Velikodsky1, Ya. S
    42nd Lunar and Planetary Science Conference (2011) 2060.pdf PHASE CURVE OF LUNAR COLOR RATIO. Yu. I. Velikodsky1, Ya. S. Volvach2, V. V. Korokhin1, Yu. G. Shkuratov1, V. G. Kaydash1, N. V. Opanasenko1, M. M. Muminov3, and B. B. Kahharov3, 1Institute of Astro- nomy, Kharkiv National University, 35 Sumskaya Street, Kharkiv, 61022, Ukraine, [email protected], 2Phy- sical Faculty, Kharkiv National University, 4 Svobody Square, Kharkiv, 61077, Ukraine, 3Andijan-Namangan Sci- entific Center of Uzbekistan Academy of Sciences, 38 Cho'lpon Street, Andijan city, 170020, Uzbekistan. Introduction: The dependence of a color ratio of and "B": 472 nm) in a wide range of phase angles (1.6– the lunar surface on phase angle α is poorly studied. 168°) and zenith distances. The ratio, which is defined as C(λ1/λ2)=A(λ1)/A(λ2), At present time, we have computed radiance factor where A is the radiance factor (apparent albedo), λ is maps in spectral bands "R" and "B" at α in the range the wavelength (λ1>λ2), is believed to increase mono- 3–73° with a resolution of 2 km near the lunar disk tonically in the visible spectral range with increasing α center. Using the radiance factor distributions, we have in the range 0–90° by 10–15% [1,2]. From the ground obtained 22 maps of lunar color ratio C(603/472 nm). based colorimetry [3] it has been found that at α < 40– An example of such a map at α=16° is shown in Fig. 2. 50° the color ratio C(603/472 nm) for lunar highlands Phase curve of color ratio: Using the maps of co- grows with α faster than that of the mare regions.
    [Show full text]
  • Exoplanetary Atmospheres
    Exoplanetary Atmospheres Nikku Madhusudhan1,2, Heather Knutson3, Jonathan J. Fortney4, Travis Barman5,6 The study of exoplanetary atmospheres is one of the most exciting and dynamic frontiers in astronomy. Over the past two decades ongoing surveys have revealed an astonishing diversity in the planetary masses, radii, temperatures, orbital parameters, and host stellar properties of exo- planetary systems. We are now moving into an era where we can begin to address fundamental questions concerning the diversity of exoplanetary compositions, atmospheric and interior processes, and formation histories, just as have been pursued for solar system planets over the past century. Exoplanetary atmospheres provide a direct means to address these questions via their observable spectral signatures. In the last decade, and particularly in the last five years, tremendous progress has been made in detecting atmospheric signatures of exoplanets through photometric and spectroscopic methods using a variety of space-borne and/or ground-based observational facilities. These observations are beginning to provide important constraints on a wide gamut of atmospheric properties, including pressure-temperature profiles, chemical compositions, energy circulation, presence of clouds, and non-equilibrium processes. The latest studies are also beginning to connect the inferred chemical compositions to exoplanetary formation conditions. In the present chapter, we review the most recent developments in the area of exoplanetary atmospheres. Our review covers advances in both observations and theory of exoplanetary atmospheres, and spans a broad range of exoplanet types (gas giants, ice giants, and super-Earths) and detection methods (transiting planets, direct imaging, and radial velocity). A number of upcoming planet-finding surveys will focus on detecting exoplanets orbiting nearby bright stars, which are the best targets for detailed atmospheric characterization.
    [Show full text]
  • Asteroid Photometric and Polarimetric Phase Curves: Joint Linear-Exponential Modeling
    Meteoritics & Planetary Science 44, Nr 12, 1937–1946 (2009) Abstract available online at http://meteoritics.org Asteroid photometric and polarimetric phase curves: Joint linear-exponential modeling K. MUINONEN1, 2, A. PENTTILÄ1, A. CELLINO3, I. N. BELSKAYA4, M. DELBÒ5, A. C. LEVASSEUR-REGOURD6, and E. F. TEDESCO7 1University of Helsinki, Observatory, Kopernikuksentie 1, P.O. BOX 14, FI-00014 U. Helsinki, Finland 2Finnish Geodetic Institute, Geodeetinrinne 2, P.O. Box 15, FI-02431 Masala, Finland 3INAF-Osservatorio Astronomico di Torino, strada Osservatorio 20, 10025 Pino Torinese, Italy 4Astronomical Institute of Kharkiv National University, 35 Sumska Street, 61035 Kharkiv, Ukraine 5IUMR 6202 Laboratoire Cassiopée, Observatoire de la Côte d’Azur, BP 4229, 06304 Nice, Cedex 4, France 6UPMC Univ. Paris 06, UMR 7620, BP3, 91371 Verrières, France 7Planetary Science Institute, 1700 E. Ft. Lowell Road, Tucson, Arizona 85719, USA *Corresponding author. E-mail: [email protected] (Received 01 April, 2009; revision accepted 18 August 2009) Abstract–We present Markov-Chain Monte-Carlo methods (MCMC) for the derivation of empirical model parameters for photometric and polarimetric phase curves of asteroids. Here we model the two phase curves jointly at phase angles գ25° using a linear-exponential model, accounting for the opposition effect in disk-integrated brightness and the negative branch in the degree of linear polarization. We apply the MCMC methods to V-band phase curves of asteroids 419 Aurelia (taxonomic class F), 24 Themis (C), 1 Ceres (G), 20 Massalia (S), 55 Pandora (M), and 64 Angelina (E). We show that the photometric and polarimetric phase curves can be described using a common nonlinear parameter for the angular widths of the opposition effect and negative-polarization branch, thus supporting the hypothesis of common physical mechanisms being responsible for the phenomena.
    [Show full text]
  • Download This Issue (Pdf)
    Volume 46 Number 1 JAAVSO 2018 The Journal of the American Association of Variable Star Observers Optical Flares and Quasi-Periodic Pulsations on CR Draconis during Periastron Passage Upper panel: 2017-10-10-flare photon counts, time aligned with FFT spectrogram. Lower panel: FFT spectrogram shows time in UT seconds versus QPP periods in seconds. Flares cited by Doyle et al. (2018) are shown with (*). Also in this issue... • The Dwarf Nova SY Cancri and its Environs • KIC 8462852: Maria Mitchell Observatory Photographic Photometry 1922 to 1991 • Visual Times of Maxima for Short Period Pulsating Stars III • Recent Maxima of 86 Short Period Pulsating Stars Complete table of contents inside... The American Association of Variable Star Observers 49 Bay State Road, Cambridge, MA 02138, USA The Journal of the American Association of Variable Star Observers Editor John R. Percy Kosmas Gazeas Kristine Larsen Dunlap Institute of Astronomy University of Athens Department of Geological Sciences, and Astrophysics Athens, Greece Central Connecticut State University, and University of Toronto New Britain, Connecticut Toronto, Ontario, Canada Edward F. Guinan Villanova University Vanessa McBride Associate Editor Villanova, Pennsylvania IAU Office of Astronomy for Development; Elizabeth O. Waagen South African Astronomical Observatory; John B. Hearnshaw and University of Cape Town, South Africa Production Editor University of Canterbury Michael Saladyga Christchurch, New Zealand Ulisse Munari INAF/Astronomical Observatory Laszlo L. Kiss of Padua Editorial Board Konkoly Observatory Asiago, Italy Geoffrey C. Clayton Budapest, Hungary Louisiana State University Nikolaus Vogt Baton Rouge, Louisiana Katrien Kolenberg Universidad de Valparaiso Universities of Antwerp Valparaiso, Chile Zhibin Dai and of Leuven, Belgium Yunnan Observatories and Harvard-Smithsonian Center David B.
    [Show full text]
  • Extrasolar Planet Detection and Characterization with the KELT-North Transit Survey
    Extrasolar Planet Detection and Characterization With the KELT-North Transit Survey DISSERTATION Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Thomas G. Beatty Graduate Program in Astronomy The Ohio State University 2014 Dissertation Committee: Professor B. Scott Gaudi, Advisor Professor Andrew P. Gould Professor Marc H. Pinsonneault Copyright by Thomas G. Beatty 2014 Abstract My dissertation focuses on the detection and characterization of new transiting extrasolar planets from the KELT-North survey, along with a examination of the processes underlying the astrophysical errors in the type of radial velocity measurements necessary to measure exoplanetary masses. Since 2006, the KELT- North transit survey has been collecting wide-angle precision photometry for 20% of the sky using a set of target selection, lightcurve processing, and candidate identification protocols I developed over the winter of 2010-2011. Since our initial set of planet candidates were generated in April 2011, KELT-North has discovered seven new transiting planets, two of which are among the five brightest transiting hot Jupiter systems discovered via a ground-based photometric survey. This highlights one of the main goals of the KELT-North survey: to discover new transiting systems orbiting bright, V< 10, host stars. These systems offer us the best targets for the precision ground- and space-based follow-up observations necessary to measure exoplanetary atmospheres. In September 2012 I demonstrated the atmospheric science enabled by the new KELT planets by observing the secondary eclipses of the brown dwarf KELT-1b with the Spitzer Space Telescope.
    [Show full text]
  • Systematic Phase Curve Study of Known Transiting Systems from Year One of the TESS Mission
    The Astronomical Journal, 160:155 (30pp), 2020 October https://doi.org/10.3847/1538-3881/ababad © 2020. The American Astronomical Society. All rights reserved. Systematic Phase Curve Study of Known Transiting Systems from Year One of the TESS Mission Ian Wong1,10 , Avi Shporer2 , Tansu Daylan2,11 , Björn Benneke3 , Tara Fetherolf4 , Stephen R. Kane5 , George R. Ricker2 , Roland Vanderspek2 , David W. Latham6 , Joshua N. Winn7 , Jon M. Jenkins8 , Patricia T. Boyd9 , Ana Glidden1,2 , Robert F. Goeke2 , Lizhou Sha2 , Eric B. Ting8 , and Daniel Yahalomi6 1 Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; [email protected] 2 Department of Physics and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA 3 Department of Physics and Institute for Research on Exoplanets, Université de Montréal, Montréal, QC, Canada 4 Department of Physics and Astronomy, University of California, Riverside, CA 92521, USA 5 Department of Earth and Planetary Sciences, University of California, Riverside, CA 92521, USA 6 Center for Astrophysics|Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA 7 Department of Astrophysical Sciences, Princeton University, Princeton, NJ 08544, USA 8 NASA Ames Research Center, Moffett Field, CA 94035, USA 9 Astrophysics Science Division, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA Received 2020 March 13; revised 2020 July 28; accepted 2020 August 1; published 2020 September
    [Show full text]
  • Asteroid Phase-Curves from Gaia-Calibrated Data
    EPSC Abstracts Vol. 11, EPSC2017-743-1, 2017 European Planetary Science Congress 2017 EEuropeaPn PlanetarSy Science CCongress c Author(s) 2017 Asteroid phase-curves from Gaia-calibrated data D. Oszkiewicz (1), B. Skiff (2), B. Warner (3), M. Buie (4) P. Tanga (5) M. Popescu (6) , A. Cellino (7) , J. Licandro (8), D. Hestroffer (9) (1) Institute Astronomical Observatory, Adam Mickiewicz University, Poznan,´ Poland ([email protected]) (2) Lowell Observatory, USA (3) Center for Solar System Studies, USA (4) Southwest Research Institute, USA (5) Nice Observatory, France (6) Astronomical Institute of the Romanian Academy, Romania (7) INAF, Osservatorio Astronomico di Torino, Italy (8) Instituto Astrofisica de Canarias, Spain (9) IMCCE, Observatoire de Paris, PSL Research University, CNRS, Paris, France Abstract curacy, the stars measured by Gaia are suitable to use as photometric standards. Most of the historical CCD We use asteroid differential photometry gathered in the images contain Gaia photometric stars, making it pos- past decades together with the Gaia stellar catalogue sible to re-measure asteroid magnitudes from the im- (as photometric standards) to obtain relative magni- ages and by placing them on a standard photometric tudes. The obtained magnitudes are then used to fit system obtain relative measurements. the multi-opposition phase curves in several ways de- pending on data quality. 2. Data 1. Introduction We have gathered a substantial 7.26 TB of possible data to use in the project. In Table 1 we summarize Modern CCD photometric observations of asteroids the data available for this project. The data secured are traditionally done using differential photometry.
    [Show full text]