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Experimental gravity with PSR B1534+12 Fonseca, Emmanuel 2012-12-31

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Experimental Gravity with PSR B1534+12 by Emmanuel Fonseca B.Sc., The Pennsylvania State University, 2010 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE in The Faculty of Graduate Studies (Astronomy) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) October 2012 c Emmanuel Fonseca 2012Abstract We present an updated analysis of pulse pro les and their arrival-times from PSR B1534+12, a 37.9-ms pulsar that is orbiting a neutron star. Such \double-neutron-star" systems are expected to undergo various relativistic e ects, such as orbital decay and precession, due to the strong- eld nature of the local gravitational  eld (Damour & Taylor, 1992). A high-precision timing model is derived that accounts for all astrophysical processes that systematically a ect pulse arrival-times. In the process of generating this model, we constrain parameters that characterize the interstellar environ- ment, relative motion of the pulsar, its spin properties, and binary parame- ters. We measure  ve \post-Keplerian" parameters that represent relativis- tic corrections to the standard Keplerian quantities that describe a binary orbit. These relativistic parameters are then used to test general relativity by comparing the measured values with those predicted by Einstein’s grav- itational theory. We conclude that general relativity is con rmed to within  0:35% of its predictions. The measurement of orbital decay contains a bias due to relative acceleration in the Galactic potential, and cannot be corrected for at this time due to an unreliable measure of distance; however, we can use this bias as a means to constrain the distance the pulsar should be from Earth in order for general relativity to be the correct theory of grav- ity. We  nd this distance to be dGR = 1:037  0:012 kpc. We also present evidence for pulse \jitter" in PSR B1534+12, which indicates short-term magnetospheric activity and has signi cant implications for the long-term improvement of timing precision. In a separate study, we present an analy- sis on pulse-pro le evolution that has been previously linked to relativistic spin precession (Stairs et al., 2004). The current results of our precession analysis cannot con rm general relativity using this relativistic e ect, but future studies and observations are needed constrain the precession rate of PSR B1534+12. iiPreface Several parts of our data set were acquired and used in previous studies of PSR B1534+12:  The \Mark III data set" consists of pulse arrival-times and pro les that were recorded at Arecibo Observatory with the Mark III observ- ing system, with a central observing frequency of 1400 MHz . This set was collected and prepared by Z. Arzoumanian, A. Wolszczan, and J. H. Taylor. Results obtained with this data set were published by Ar- zoumanian (1995) and Stairs et al. (1998), and a more recent analysis of this set was performed by Stairs et al. (2002).  The \Mark IV data set" consists of pulse arrival-times and pro les that were recorded at the Arecibo Observatory with the Mark IV observing system, with central observing frequencies of 430 MHz and 1400 MHz. The set was collected and prepared by I. H. Stairs, S.E. Thorsett, J. H. Taylor, and A. Wolszszcan. Further observational support was given by K. Xilouris, D. Lorimer, D. Nice, E. Splaver, A. Lommen, P. Freire, and I. Ho man. Results obtained with Arecibo Mark IV data taken up to early 2002 were published by Stairs et al. (2002). Several additional years of Mark IV data (up to late 2004) were presented in a preliminary version of the timing analysis described in this thesis (Stairs, 2005). The global pulsar-timing and pro le-evolution analyses presented below were carried out entirely by E. Fonseca. Moreover, this manuscript was written by E. Fonseca with invaluable commentary and feedback from I. H. Stairs and B. Gladman. iiiTable of Contents Abstract . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ii Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iii Table of Contents . . . . . . . . . . . . . . . . . . . . . . . . . . . . iv List of Tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vi List of Figures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vii Acknowledgements . . . . . . . . . . . . . . . . . . . . . . . . . . . viii Dedication . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ix 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1 Cosmic Lighthouses . . . . . . . . . . . . . . . . . . . . . . . 2 1.2 Overview of Pulsar Timing . . . . . . . . . . . . . . . . . . . 2 1.2.1 Basic timing model . . . . . . . . . . . . . . . . . . . 3 1.3 Pulsars in Binary Systems . . . . . . . . . . . . . . . . . . . 5 1.3.1 System evolution and double-neutron-star binaries . . 6 1.4 Pulsars and General Relativity . . . . . . . . . . . . . . . . . 7 2 High-Precision Pulsar Timing of PSR B1534+12 . . . . . . 9 2.1 A Brief History . . . . . . . . . . . . . . . . . . . . . . . . . 9 2.2 Data Acquisition and Reduction . . . . . . . . . . . . . . . . 10 2.2.1 Observing Machines . . . . . . . . . . . . . . . . . . . 12 2.2.2 Data Processing and Determination of TOAs . . . . . 13 2.2.3 Data Weights and Pulse Jitter in PSR B1534+12 . . 15 2.3 The timing model . . . . . . . . . . . . . . . . . . . . . . . . 15 2.3.1 Solar-system corrections and astrometric parameters 17 2.3.2 DM Variation over Time . . . . . . . . . . . . . . . . 18 2.3.3 Theory-Independent Binary Model . . . . . . . . . . 22 2.3.4 Fitting Procedure . . . . . . . . . . . . . . . . . . . . 24 ivTable of Contents 2.4 Results and Interpretation . . . . . . . . . . . . . . . . . . . 26 2.4.1 Tests of General Relativity . . . . . . . . . . . . . . . 26 2.4.2 A Theoretical Distance Estimate to PSR B1534+12 . 29 2.4.3 Pulsar Jitter and Instrumental Limits on Timing Pre- cision . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 3 Pro le Evolution and Relativistic Spin Precession in PSR B1534+12 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 3.1 Data Reduction and Observing Strategy . . . . . . . . . . . 38 3.2 Methodology . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 3.3 Current Results . . . . . . . . . . . . . . . . . . . . . . . . . 43 4 Summary, Conclusions, and the Future . . . . . . . . . . . . 47 Bibliography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50 vList of Tables 2.1 Data Logistics of Observing Machines . . . . . . . . . . . . . 11 2.2 Fitted Astrometric, Spin, and DM parameters . . . . . . . . . 19 2.3 Fitted orbital elements for PSR B1534+12 . . . . . . . . . . . 23 3.1 Pulse-pro le logistics . . . . . . . . . . . . . . . . . . . . . . . 37 viList of Figures 1.1 Example of average pro les . . . . . . . . . . . . . . . . . . . 4 2.1 ASP standard templates . . . . . . . . . . . . . . . . . . . . . 14 2.2 Pulse jitter in PSR B1534+12. . . . . . . . . . . . . . . . . . 16 2.3 DM variation with time. . . . . . . . . . . . . . . . . . . . . . 21 2.4 Post t residuals for PSR B1534+12. . . . . . . . . . . . . . . 25 2.5 Mass-mass plot. . . . . . . . . . . . . . . . . . . . . . . . . . . 28 2.6 Monte-Carlo sampling of Galactic, timing parameters . . . . 31 2.7 Distribution of theoretical distances to PSR B1534+12 . . . . 32 3.1 PCA output for Mark IV and ASP pro les . . . . . . . . . . 39 3.2 Comparison of pro le shapes . . . . . . . . . . . . . . . . . . 42 3.3 Mark IV precession results . . . . . . . . . . . . . . . . . . . . 45 3.4 ASP precession results . . . . . . . . . . . . . . . . . . . . . . 46 viiAcknowledgements First and foremost, I would like to thank my supervisor, Ingrid Stairs, for her unwavering guidance and support. It has been a sincere pleasure to work with you over the last two years in the exciting  eld of pulsar astrophysics. This work would certainly not have been possible without your expertise, insight, and patience. I would also like to thank members of the pulsar group here at the University of British Columbia (UBC), past and present, for making this graduate experience at UBC even more enjoyable and enlightening. Many thanks are given to the astronomy faculty at UBC, as well as its Department of Physics and Astronomy, for accepting me into such a vibrant academic environment. I would not be at UBC today without the supervision and support from: Stephen Holland; Scott Koch; Erik Hoversten; Peter Roming; and other members of the Swift Gamma-Ray Burst Mission at Penn State University. I thank you immensely for providing me with my  rst research opportunities in astronomy, as well as an informed sense of direction in my career. I would like to thank Donald Schneider, for teaching one of the most challenging and memorable courses I have ever taken. Even during a period of immense doubt, you inspired me to learn more about how the Universe works, and provided me with the con dence to pursue graduate study. Last and (certainly) not least, I would like to thank my parents, siblings, and friends for their love and constant support. Thank you for everything. viiiFor my family, my friends, the Zen House, and Paul Famiglietti. ixChapter 1 Introduction The discovery of pulsars (Hewish et al., 1968) marked the beginning of a productive and insightful era in high-precision pulsar astronomy. Indeed, these rapidly-rotating, compact objects are among the most versatile tools in modern physics and astrophysics, lending themselves to a wide variety of studies and applications. For instance, the  rst con rmed extra-solar planets were discovered orbiting a millisecond pulsar (Wolszczan & Frail, 1992). Pulsars have also been used to estimate the distribution of free electrons in the Galaxy, which can then be used to infer distances to these objects from dispersive delays in multi-frequency pulsar signals (e.g. Taylor & Cordes, 1993). In a more recent application, high-precision mass estimates of pulsars in binary orbits have been used to constrain the equation of state of condensed stars (Demorest et al., 2010), as well as provide constraints on possible mass-transfer histories and subsequent evolutionary scenarios of massive binary systems (e.g. Stairs, 2004). Pulsars are particularly powerful laboratories for measuring relativis- tic e ects and testing alternate theories of gravitation. The discovery of PSR B1913+16, commonly known as the \Hulse-Taylor" pulsar (Hulse & Taylor, 1975), provided the  rst case where such an object in a strong grav- itational  eld could be used to place substantial constraints on relativistic gravity. A signi cant measurement of orbital decay in the Hulse-Taylor bi- nary system inferred the existence of gravitational radiation, a previously uncon rmed prediction of general relativity at that time (Taylor & Weis- berg, 1982). Several other tests have since been performed using pulsars in di erent astrophysical environments, examining possible violations in rel- ativistic equivalence principles and precession of pulsars about their spin axes; see Stairs (2003) for a review. This thesis describes several analyses of PSR B1534+12, a pulsar in a binary orbit with another neutron star, and the implications these studies have on gravitational theory. In order to provide clarity and context for the details of this work, this chapter provides a comprehensive introduction and overview of the pulsar model used, as well as the modern techniques for studying pulsars that are applied to the studies outlined in the following 11.1. Cosmic Lighthouses chapters. A review of pulsars in binary systems and tests of general relativity is also provided below. 1.1 Cosmic Lighthouses A typical pulsar model is comprised of a rotating neutron star, formed from a supernova explosion, that emits beamed electromagnetic radiation at both magnetic poles. The magnetic axis is misaligned with the star’s rotation axis and occasionally points in the direction of Earth, leading an observer to see \pulsed" emission. The compact object is highly magnetized, with a typical surface magnetic- eld strength of  1010 Gauss, and is surrounded by a dense magnetosphere of charged particles that rotates with the star (Goldreich & Julian, 1969). Moreover, this dipolar misalignment induces electromagnetic waves that radiate away from the magnetosphere and result in a loss of rotational energy, or \spin-down", of the pulsar. Spin-down rates for \normal" (i.e. isolated) pulsars are typically  10 15 s/s, whereas binary and millisecond pulsars can have rates as low as  10 20 s/s; this discrepancy is believed to indicate past interaction between the pulsar and a binary companion (Lorimer & Kramer, 2005). All neutron-star models describe a spherical, stellar object whose mass is contained within a characteristic radius of  10 km. These objects are among the densest objects in the universe. Models of neutron-star structure indicate that pulsar masses can range between 0.1 and  3 M , although the upper limit is less certain due to complications from a general-relativistic treatment of the neutron-star equation of state (Lattimer & Prakash, 2004). A typical, theoretical structure of neutron stars depicts a thin outer crust and super uid interior, with the star’s matter density varying by six orders of magnitude from the star’s surface to its center (Lyne & Smith, 2004). High- precision mass estimates of the most massive pulsars continue to provide sizable constraints on possible equations of state that govern the structure of such compact objects. 1.2 Overview of Pulsar Timing Pulsars are often renowned for their rapid and stable rotation, which is re ected in the radio-pulse period. However, the key property of radio pul- sars is the long-term stability of the pulse shape, or \pro le", over time. Individual pulses are recorded as noisy pro les and vary dramatically in appearance. These irregularities vanish when one averages these individual 21.2. Overview of Pulsar Timing pro les together to form an average (or \integrated") pulse pro le. See Fig- ure 1.1 for a comparison of integrated pro les from PSR B1534+12 { the pulsar that is subject to this study { averaged over di erent time scales. The overall shape of the integrated pro le remains remarkably stable and becomes sharper as more individual pro les are folded together, which allows it to serve as a type of \standard template" for the purposes of determining pulse arrival-times. In fact, integrated pulse pro les are crucial for studying the deviations between a pulsar signal’s time of arrival (or \TOA") and all subsequent TOAs; this type of analysis is commonly referred to as \pulsar timing". 1.2.1 Basic timing model The goal of pulsar timing is to account for every rotation of the neutron star and, by extension, model every physical process that systematically a ects each TOA. In practice, the construction of a \timing model" for a given pulsar incorporates important details of the object and its local environment, as well as the Earth’s motion about the Sun and its own spin axis. Pulse TOAs are initially recorded at a local-observatory time t and are subjected to these various forms of timing bias. Such analyses are therefore carried out in a stepwise manner by initially transforming the arrival-times measured at the observatory to an inertial reference frame1, and assuming that the pulsar is isolated and slowing down due to magnetic dipole radiation. This permits the pulse phase  that is recorded at a transformed arrival-time  to be modeled using a simple Taylor expansion (e.g. Lorimer & Kramer, 2005),  =  0 +  (   0) + 1 2! _ (   0) 2 + 1 3!  (   0) 3 + ::: (1.1) where  is the pulsar rotation frequency, dots denote time-derivatives, and  0 and  0 are a reference phase and time, respectively. Additional astro- physical processes will manifest themselves as systematic delays in pulse TOAs. Parameters that characterize these delays can be measured with high precision by incorporating their theoretical timing-delay models into the arrival-time transformation. Furthermore, non-physical e ects can oc- cur due to instrumental de ciencies and/or di erences in instrumental spec- i cations when using timing data recorded with di erent signal processors (Taylor & Weisberg, 1989). It is usually necessary for the timing model to include arbitrary timing o sets when using data taken with multiple observ- ing machines. 1This is usually taken to be the Solar-system barycenter. 31.2 . O vervie w of P ulsa r Timin g Figure 1.1: Two folded pulse pro les of PSR B1534+12 recorded with the Mark IV signal processor at the 305-m Arecibo Observatory. These two plots illustrate the long-term stability of pulse pro les, a property seen in nearly all radio pulsars. 41.3. Pulsars in Binary Systems 1.3 Pulsars in Binary Systems A pulsar undergoing binary motion with a massive object2 will exhibit ap- parent changes in its rotation period and pulse TOA due to the Doppler e ect. Such binary systems can be readily identi ed as periodic changes in the observed rotation period after transforming pulse TOAs to an iner- tial reference frame and  tting Equation 1.1 to the recorded (transformed) TOAs. Binary pulsars, with their spin and spin-down rates, can then be further characterized by the orbital elements of the binary system. This can be done by examining the variation of observed rotation period (Pobs) from its intrinsic value (P ) over time due to Doppler motion: Pobs = P  1 + V1(Ae) c  (1.2) where V1(Ae) = 2 Pb a sin i p 1 e2 [cos(! +Ae) + e cos!] (1.3) is the projected, line-of-sight orbital velocity of the pulsar. The remaining parameters are further related to the orbital elements of interest through \Kepler’s equations", ! = !0 +  Pb _! 2  Ae(u) (1.4a) Ae(u) = 2 arctan   1 + e 1 e  1=2 tan u 2  (1.4b) u e sinu = 2   t T0 Pb   _Pb 2  t T0 Pb  2 (1.4c) where u is the \eccentric" anomaly, Ae(u) is the corresponding \true" anomaly, and the remaining orbital parameters are summarized as follows: x = a sin i is the projected semi-major axis; e is the orbital eccentricity; Pb is the orbital period; ! is the longitude of periastron3; and T0 is an epoch of periastron. 2Typical binary companions are other massive stars. However, several Earth-mass planets have been discovered through pulsar-timing studies (Wolszczan & Frail, 1992). 3In pulsar astronomy, ! is measured between the ascending node (the point where the pulsar crosses the plane of the sky and moves away from an observer) and the location of periastron. 51.3. Pulsars in Binary Systems Several quantities of interest { the pulsar mass (m1), the companion mass (m2), and inclination angle of the orbital plane relative to the plane of the sky (i) { usually cannot be measured directly through pulsar-timing studies. However, these parameters can be related to one another by the nominal mass function, fm = (m2 sin i)3 (m1 +m2)2 = 4 2 G x3 P 2b (1.5) where the right-hand-side of Equation 1.5 can be readily computed. A mini- mum mass of the companion star can be approximated by assuming a typical pulsar mass of m1 = 1:35 M and an edge-on orbital inclination (i  90 ). Equations 1.2, 1.3, 1.4 can generally be used to obtain initial estimates of the orbital parameters, and adequately describe non-relativistic binary systems. In practice, high-precision measurements of orbital parameters are made by modeling the di erences in pulse times-of- ight across the or- bit as further systematic delays in pulse TOAs (Lorimer & Kramer, 2005). Furthermore, relativistic binary systems { where a pulsar orbits another compact object { will exhibit e ects that are not accounted for in the above expressions. Additional models are needed to characterize the strong- eld nature of such a system, and these are presented in Chapter 2 for the case of PSR B1534+12. 1.3.1 System evolution and double-neutron-star binaries The combination of spin and orbital properties can also be used to infer the evolutionary history of the binary system (Lorimer, 2001). Many evolu- tionary scenarios involve the more-massive binary star evolving faster than its companion and eventually undergoing a supernova event, the remnant of which is a neutron star. Any bound, post-supernova binary system is therefore expected to become signi cantly more eccentric than its progen- itor system due to the injection of post-explosion energy into the system. The most common of subsequent, interactive processes for these systems is the transfer of mass between stars, which can occur as the orbit shrinks in size. Moreover, a binary star will expand as it evolves during its sub-giant and giant phases of its lifetime. Both cases eventually lead the compan- ion star to over ow the gravitational equipotential of the binary system, or \Roche lobe", where its mass is then streamed onto the compact object. This mass-accretion phase will result in an increase of angular momentum, or \spin-up", of the compact object, as well as damping of its magnetic- eld strength and circularization of the orbit. 61.4. Pulsars and General Relativity The end-products of these evolution schematics sensitively depend on several initial conditions, the more important of which are the masses of the two binary components (Stairs, 2004). A binary system with two very massive stars (each with a mass m  8 M ) is thought to produce a neu- tron star and He star that is stripped of its main-sequence envelope after mass transfer; the He star will eventually explode and form another neu- tron star,  nally leaving two neutron stars closely orbiting one another in an eccentric orbit. These kinds of systems are observationally rare, with only ten double-neutron-star binaries known (Lorimer, 2005). Nevertheless, these binary systems are near-ideal candidates for experimental gravity with high-precision pulsar timing. 1.4 Pulsars and General Relativity Several modern tests of gravitational theory have been carried out within the Solar System and have con rmed general relativity with considerable preci- sion (Everitt et al., 2011). However, these tests probe gravitation in a con- siderably \weak" gravitational  eld. A dimensionless parameter that quan- ti es gravitational- eld strength at an object’s surface is given by Damour & Taylor (1992) as  = GM c2R (1.6) where G is Newton’s constant, M is the mass of the object, c is the speed of light, and R is the radius of the object. The Sun has a strength value of   10 6 and is thus characterized as a \weak- eld" object. In contrast, a neutron star has a typical value of   0:2 and is subsequently considered a \strong- eld" object. Pulsars therefore provide a signi cant and unique astrophysical laboratory for measuring relativistic e ects in the strong- eld regime of gravity, especially if they are in binary systems with other compact objects (Damour & Deruelle, 1985, 1986). These strong- eld e ects are hereafter referred to as \post-Keplerian" (PK) parameters, which represent relativistic corrections to the standard Keplerian parameters de ned in Section 1.3 above. The orbital decay of a relativistic binary system, which was  rst observed in the Hulse-Taylor binary system, is an example of such PK e ects. In a given theory of gravity, these parameters will depend on a variety of orbital parameters. In the case of general relativity, the PK parameters can be expressed as functions of the binary-component masses which are not usually accessible through standard pulsar-timing procedures: 71.4. Pulsars and General Relativity PKj = fj(m1;m2) (1.7) where the left-hand-side of Equation 1.7 is the jth PK parameter, and fj is the corresponding equation for that parameter. The masses of the bi- nary system can therefore be uniquely determined if two PK parameters are measured and expressions for these parameters are available within a given theory of gravity. Measurement of three PK parameters leads to an overde- termination of the system, meaning that the combination can be used to test the gravitational theory under consideration. The Hulse-Taylor pulsar provided the  rst test of general relativity in the strong- eld regime, where orbital decay ( _Pb), the time-rate of change of the periastron longitude ( _!), and time-average gravitational redshift parameter ( ) were measured with signi cance (Taylor & Weisberg, 1982, 1989). 8Chapter 2 High-Precision Pulsar Timing of PSR B1534+12 2.1 A Brief History PSR B1534+124, a bright 37.9-ms pulsar, was discovered in 1990 and im- mediately noted to undergo binary motion with another object of stellar mass (Wolszczan, 1991). The companion star is believed to be another neu- tron star, based on the observed facts that: the size of the orbit is small ( 1R ); there is no eclipsing event shown in the pulsar’s residuals, despite a highly-inclined orbit with i  74 ; and the measured spin-down rate of PSR B1534+12 is consistent with a model of an old pulsar having under- gone an accretion process with its massive companion, resulting in a spun-up pulsar and another compact object orbiting one another (e.g. Stairs, 2004). As noted in the previous chapter, such binary systems can serve as critical laboratories for testing gravitational physics in the strong- eld regime of gravity. Indeed, a follow-up timing analysis of PSR B1534+12 demonstrated that the system was undergoing orbital decay at a measured rate that is in accor- dance with the predictions of general relativity (Stairs et al., 1998). More- over, this analysis provided the  rst instance where up to  ve PK parameters were measured with favorable precision: the familiar _! _Pb  parameters, as well as the r and s parameters that characterize the Shapiro time-delay (Shapiro, 1964; Damour & Taylor, 1992). Thus, unlike the Hulse-Taylor pulsar, several tests of gravitational theory can be extracted from high- precision timing measurements of PSR B1534+12. Moreover, this pulsar provided the  rst case where a \non-mixed" test of relativity theory was ob- tained by only considering PK parameters that characterize the quasi-static (i.e. non-radiative) nature of the relativistic binary system (Taylor et al., 1992). 4\PSR" stands for \pulsating source of radio", the \B" indicates the B1950 coordinate- reference epoch, and the 1534+12 indicates the right ascension + declination of the object. 92.2. Data Acquisition and Reduction A more recent timing analysis of this pulsar, published in 2002, presented extensive measurements of astrometric, spin, and environmental parameters of the pulsar, as well as Keplerian and PK elements of the binary system (Stairs et al., 2002); the latter were used to con rm general relativity and obtain estimates of the pulsar and companion masses with favorable preci- sion. This chapter presents an updated, high-precision timing analysis of PSR B1534+12, using a data set that spans over twenty-two years in time. A description of the data acquisition and reduction, implementation of several timing models, and estimation of the ionized interstellar medium and its behavior across the time series is provided below. The results and their interpretation are presented in the last section. 2.2 Data Acquisition and Reduction All data utilized in this analysis were obtained with the 305-m Arecibo radio telescope in Puerto Rico, using several generations of pulsar signal processors. Observations with Arecibo began as early as August 1990, and occurred as recently as February 2012. Data were recorded using two 430- MHz5 receivers, as well as two 1400-MHz6 (\L-band") observatory receivers. All observing systems described below collected data in the standard \tim- ing" mode of pulsar observations: a series of recorded, consecutive pulses were folded modulo the apparent (or \topocentric") pulse period in order to generate raw, unweighted pro les measured at di erent polarization states. These polarization pro les are then weighted through  ux calibrations, and then added to produce the total-intensity pro les used for the timing anal- ysis. 5A line feed Carriage House 430-MHz receiver was used for observations carried out between MJD 48126-52965, 52967-53063, and on 53102. An upgraded, Gregorian Dome 430-MHz receiver was used for MJD 52966, 53064-53101, and 53103-55974. 430 MHz data acquired between MJD 48126-49430 were not used in this analysis, for reasons described in the text. 6A narrow-band, line feed 1400-MHz receiver was used between MJD 48178-49379. 1400-MHz data acquired from MJD 51022 up to January 2004 were obtained with a Gregorian Dome \L-narrow" receiver, and all other 1400-MHz data after this period were recorded using a Dome \L-wide" receiver. 102.2 . Dat a Acquisitio n an d Reductio n Parameter Mark III Mark IV Mark IV ASP ASP ASP ASP ASP Frequency (MHz) . . 1400 430 1400 424 428 432 436 1400 Bandwidth (MHz) . 40 5 5 64 64 64 64 64 Spectral Channels . . 32 1* 1** 1 1 1 1 16*** Number of TOAs . . 1185 3102 664 1438 1444 1474 1468 312 Dedispersion type . Incoh. Coh. Coh. Coh. Coh. Coh. Coh. Coh. Integration time (s) 300 190 190 180 180 180 180 180 Date span (years) . 1990-94 1998-2005 1998-2005 2004-12 2004-12 2004-12 2004-12 2004-12 RMS residual,  rms 6.44 4.75 7.15 4.91 4.86 5.20 5.54 8.56 Table 2.1: Logistics of data sets used in this pulsar-timing analysis of PSR B1534+12. All data were collected using the Arecibo Observatory. * Four sub-bands centered at 430 MHz were taken when the Mark IV data were originally recorded, but were averaged together to build signal strength. ** Two sub-bands centered at 1400 MHz were taken when the Mark IV data were originally recorded, but were also averaged together to build signal strength. *** The number of actual channels recorded sometimes varied due to computational limitations, so this value represents a typical number of channels used. 112.2. Data Acquisition and Reduction 2.2.1 Observing Machines A portion of the data used for this thesis were recorded with the Mark III (Stinebring et al., 1992) and Mark IV (Stairs et al., 2000a) pulsar observing systems. The Mark III system employed a \brute-force" approach of pulse de-dispersion7 by separating the receiver’s bandpass into distinct spectral channels using a  lter bank, detecting the signal within each channel, and shifting the pulse pro le by the theoretical amount of dispersive delay for alignment and coherent averaging. As an upgrade from this system, the Mark IV machine employed the now-standard coherent de-dispersion tech- nique (Hankins & Rickett, 1975) that samples and  lters the data stream prior to detection of the radio pulse. A series of digital  lters applied in the frequency domain completely remove the predicted dispersion signatures while retaining even greater precision than the Mark III counterpart. See Stairs et al. (1998, 2002) for more details on these observing systems and reduction of data obtained with these machines. The majority of data used in this study were obtained with the Arecibo Signal Processor (ASP), a further upgrade from the Mark III/IV systems (Demorest, 2007). The ASP retains the coherent de-dispersion technique for shifting pulse pro les to a common phase, but  rst decomposes the signals across a bandwidth of 64 MHz into a number of 4-MHz spectral channels that depends on the observing frequency. We used data collected with the four inner-most spectral channels centered on 430 MHz, and typically six- teen channels centered on 1400 MHz, due to limits in computer processing and the limited receiver bandpass. This decomposition is carried out with even greater data sampling than its Mark IV predecessor: the Mark IV machine used 4-bit data sampling in 5-MHz-bandpass observing mode and 2-bit sampling in 10-MHz-bandpass observing mode, whereas ASP always used 8-bit sampling. The coherent de-dispersion  lter is then applied to the raw, channelized data, which is then folded modulo the topocentric pulse pe- riod within each channel and recorded to disk. Table 2.1 presents technical information on the TOAs acquired with these three observing systems. It is important to note that there is a slight overlap in pulse TOAs between the Mark IV and ASP data sets. This overlap occurs between MJD 53358 and 53601. Despite this overlap in data, we incorporated TOAs acquired from both machines during this era due to the substantially larger ASP bandwidth and argued that this bandwidth di erence does not produce many redundant data points. 7The e ects of a tenuous, ionized interstellar medium on pulsar signals are discussed in Section 2.2.2. 122.2. Data Acquisition and Reduction 2.2.2 Data Processing and Determination of TOAs We used an in-house suite of programs and subroutines that embody the reduction methodology developed by Ferdman (2008) for further reduction of our raw, uncalibrated data. This collection of algorithms automate the statistical excision of radio-frequency interference, as well as the application of appropriate  ux and polarization calibrations in order to obtain the true shape and intensity of pulse pro le. A bright, unpolarized quasar8 was observed at nearly every epoch in order to obtain data for  ux calibration; comparison with the signal strength on and o the quasar and the signal strength of a noise diode pulsed at 25 MHz yielded the proper conversion from machine counts to pulse  ux density. We employed the standard procedure for calculating TOAs and observed pulse phases from our processed data. This involves the cross-correlation { in the frequency domain { between an integrated pulse pro le and a stan- dard template determined from initial observations (Taylor, 1992). This template-matching method assumes that the folded pro le P (t) is essen- tially equivalent to the standard template S(t), where both P and S are de ned over one whole pulse period; the most general expression that links the two is then given by P (t) = a+ bS(t  obs) + c(t) (2.1) where a characterizes a shift in baseline, b a change in amplitude,  obs a shift in pulse phase, and c(t) characterizes noise across the pulse phase. A least- squares  tting procedure is used to determine  obs and its uncertainty for every integrated pro le used in the analysis described in the following sec- tions. The TOA for a given integrated pro le is then determined by adding the phase shift  obs to its time-stamp near the middle of the integration. The noise parameter c is minimized when using folded pro les, permit- ting a stronger determination of  obs and its corresponding TOA. As such, we employ an integration-time scheme that is outlined in Table 2.1. A stan- dard template was derived for the Mark III and IV pulsar backends, and at each of the two frequencies. ASP 430-MHz TOAs were derived using the Mark IV standard templates shown in Figure 2.1 for each of the four in- nermost frequency channels centered at 430 MHz. TOAs derived from ASP 1400-MHz data were generated by collapsing all channelized data into one set of pulse pro les, in order to increase signal strength. 8The Arecibo Observatory list this quasar with (B1950) coordinates  = 14h42s;  = 10 10. 132.2 . Dat a Acquisitio n an d Reductio n Figure 2.1: Standard templates used for determining ASP TOAs. These were derived by I. H. Stairs from data acquired with the Mark IV observing system, and were the same standard templates used in the Stairs et al. (1998, 2002) studies. 142.3. The timing model 2.2.3 Data Weights and Pulse Jitter in PSR B1534+12 Taylor & Weisberg (1989) noted that uncertainties in TOAs determined by the least-squares  tting procedure described above only characterize ran- dom scatter in their estimation. Di erences in instrumental speci cations, whether with observatory receivers or signal processors, will introduce sys- tematic errors that need to be allowed for or removed. We therefore assign a minimum error to each TOA data set by computing the goodness-of- t  2 statistic for each set taken with the same receiver at the same frequency us- ing a  xed timing solution. The amount of minimum error is then adjusted until  2=n  1.0, where n is the number of free parameters in the model, for all TOA data sets used. We believe that the minimum-error strategy is justi ed since it allows us to retain the random contributions of TOA uncertainty (to some extent) while addressing possible sources of systematic error. While di erences in instrumental properties are often the source for such uncertainties, another probable source of systematic error is illustrated in Figure 2.2. Post- t resid- uals of unweighted PSR B1534+12 data obtained on MJD 53545 are plotted against orbital phase, where there is an overlap in timing data recorded by the Mark IV and ASP observing systems. The TOAs between machines unambiguously track each other across the orbit, despite substantial di er- ences in instrumental speci cations. We thus interpret this primarily as a re ection of physical instabilities, or \jitter" (Cordes & Shannon, 2012), in the magnetosphere of the pulsar. The jitter itself is a random process, but is essentially present across the entire data set and produces a spread in residuals about zero. The application of the minimum error per TOA allows this residual jitter to be accounted for while producing a timing solution that yields conservative estimates of parameter uncertainties. 2.3 The timing model We used Equation 1.1 as our pulsar timing model for PSR B1534+12. How- ever, it is important to note that the time  in Equation 1.1 is a time of pulse emission in the rest frame of the pulsar, and not pulse TOAs that are initially measured at a telescope on Earth. Furthermore, many physical pro- cesses will a ect every pulse and its corresponding TOA as it travels across the interstellar medium up until the moment of its detection. We therefore employ the time-coordinate transformation derived by Damour & Deruelle (1985, 1986) and used by Stairs et al. (1998, 2002) for PSR B1534+12, 152.3. The timing model Figure 2.2: A plot of post- t, pulse-phase residuals as a function of or- bital phase for PSR B1534+12 at the epoch MJD 53545. Black points represent (unweighted) Mark IV 430 MHz data. Red, blue, orange, and magenta points represent (unweighted) ASP 424/428/432/436 MHz data, respectively. The Mark IV and ASP points generally track one another dur- ing the course of the orbit, despite substantial di erences in technological speci cations of the two observing systems. Moreover, all relevant processes are modeled in this unweighted  t. We therefore interpret this jitter as an indicator of short-term magnetospheric activity around the pulsar. 162.3. The timing model  = t t0 +  C   DM +  R +  E   S   R   E   S (2.2) to derive the barycentric arrival-time of pulse emission  from the topocen- tric arrival-time t. The remaining terms and corrections are summarized as follows: t0 is a reference epoch;  C is the timing o set between the local (observatory) master clock and the reference standard of terrestrial time (taken as UTC(NIST));  DM characterizes the time delay associated with frequency-dependent pulse dispersion due to intervening material; the   terms represent the \Roemer", \Einstein", and \Shapiro" relativistic time delays in the Solar system; and the  R; E ; S terms are the analo- gous relativistic corrections for the pulsar binary system. 2.3.1 Solar-system corrections and astrometric parameters The three solar-system timing delays in Equation 2.2 transform the arrival- times measured at the telescope to the inertial reference frame of the solar- system barycenter (SSB). Both the Shapiro and Einstein delays require care- ful consideration of local celestial bodies whose masses prominently a ect the propagation of radio pulses by means of time dilation and gravitational redshift. These two delays are given by Lorimer & Kramer (2005) as  S =  2 X i GMi c3 ln  s^  ~rEi + r E i s^  ~rPi + r P i  (2.3a) d E dt = X i GMi c2rEi + v2E 2c2  constant (2.3b) whereMi is the mass of the ith body, ~rEi is the position vector of the telescope relative to the body, ~rPi is the position vector of the pulsar relative to the body, ~vE is the velocity of the Earth at that instant, and s^ is a unit vector that points from the SSB to the pulsar. In practice, the Sun and the most massive planet - Jupiter - have measurable e ects on pulsar timing (Backer & Hellings, 1986). Thus, we use the JPL DE414 planetary ephemeris (Konopliv et al., 2006) in this study, with its high-precision relative positions of these massive objects throughout the years, in order to properly transform our TOAs over the course of our data set to the SSB reference frame. The position of PSR B1534+12 is measured through the annual variation of the Roemer timing delay, also given by Lorimer & Kramer (2005) as 172.3. The timing model  R =  1 c  ~rSSB + ~rEO   s^ (2.4) where ~rSSB is a position vector that points from the SSB to the center of the Earth, and ~rEO is the position vector that points from the Earth’s center to the telescope. The vector ~rSSB as a function of time is given by the DE414 ephemeris, and the ~rEO positions are provided through UT1 corrections of the Earth’s non-uniform rotation, calculated by the International Earth Rotation and Reference Systems Service9. Moreover, rates of change in the position coordinates are measured through the relative motion between the binary system and the SSB. A timing parallax is also  tted for in the overall timing procedure. 2.3.2 DM Variation over Time Radio pulses emitted simultaneously at di erent frequencies will be recorded at di erent arrival times on Earth. This delay arises from the frequency dependence of the pulse’s group velocity as it traverses a tenuous interstellar medium. Therefore, pulsars with broadband radio emission will exhibit timing delays between TOAs measured at two di erent observing frequencies due to the dispersive nature of the electronic material along the line of sight. This o set between TOAs must be taken into account when applying the model in Equation 2.2 to multi-frequency data sets. This timing delay  DM due to intervening material permits the calcula- tion of a \dispersion measure" (DM), DM = Z d 0 ne(l; t)dl (2.5) where d is the distance to the pulsar and ne(l; t) is the mean electron density along the line of sight l at a particular time t, by using the relation  DM = DM 2:41 10 4f2 (2.6) where f is the observing frequency with units of MHz and the delay is in units of seconds (Manchester & Taylor, 1977). Observed values of DM range between 3 1500 cm 3 pc10. This quantity is of particular interest because a distance to the pulsar can be inferred purely by its DM through Equation 2.5, given a model for the electron density along the path (Lyne et al., 1985; 9http://hpiers.obspm.fr 10http://www.atnf.csiro.au/people/pulsar/psrcat/ 182.3. The timing model Parameter Value Right Ascension,  (J2000) . . . . . . . . . . . . . 15h37m09s:961716(6) Declination,  (J2000) . . . . . . . . . . . . . . . . . . 11 5505500:43372(14) Proper motion in R.A.,   (mas yr 1) . . 1.494(15) Proper motion in Decl.,   (mas yr 1) . . -25.27(3) Timing parallax,  (mas) . . . . . . . . . . . . . . . 0.7(4) Parameter reference epoch (MJD) 52077 Rotational frequency,  (Hz) . . . . . . . . . . . . 26.3821327768945(2) First frequency derivative, _ (10 15 Hz2) -1.686089(4) Second freq. derivative,  (10 29 Hz3) . . 9.8(1.7) Third freq. derivative, ...  (10 36 Hz4) . . . -3.0(4) Dispersion measure, DM 1 (cm 3 pc) . . . 11.61944(2)* DM derivative 1 (cm 3 pc yr 1) . . . . . . . . -0.000316(10)* Bin 1 range, epoch (MJD) . . . . . . . . . . . . . . 48126-50774, 48778* DM 2 (cm 3 pc) . . . . . . . . . . . . . . . . . . . . . . . . 11.61631(3) DM 2 derivative (cm 3 pc yr 1) . . . . . . . . -0.000039(18) Bin 2 range, epoch (MJD) . . . . . . . . . . . . . . 50775-52600, 51687.5 DM 3 (cm 3 pc) . . . . . . . . . . . . . . . . . . . . . . . . 11.61544(4) DM 3 derivative (cm 3 pc yr 1) . . . . . . . . -0.000298(14) Bin 3 range, epoch (MJD) . . . . . . . . . . . . . . 52601-54300, 53450.5 DM 4 (cm 3 pc) . . . . . . . . . . . . . . . . . . . . . . . . 11.615712(6) DM 4 derivative (cm 3 pc yr 1) . . . . . . . . 0.00085(4) Bin 4 range, epoch (MJD) . . . . . . . . . . . . . . 54301-55125, 54713 DM 5 (cm 3 pc) . . . . . . . . . . . . . . . . . . . . . . . . 11.61641(14) DM derivative 5 (cm 3 pc yr 1) . . . . . . . . -0.00038(8) Bin 5 range, epoch (MJD) . . . . . . . . . . . . . . 55126-56000, 55563 Table 2.2: Fitted astrometric, spin, and DM parameters for PSR B1534+12. Values in parentheses denote the uncertainty in the preceding digit(s). * These values are taken from Stairs et al. (2002), but the date range is extended so that bins 1 and 2 are contiguous. See text for a brief discussion of this bin extension. 192.3. The timing model Taylor & Cordes, 1993; Cordes & Lazio, 2002). The time dependence of the electron density ne is generally negligible when considering time series that span days or weeks. Stairs et al. (1998, 2002) noted that a measurable change in DM of PSR B1534+12 could be extracted from their time series, which incorporated over ten years of timing data. They argued that, while the measured value of DM at a particular epoch is subject to biases in several forms (e.g. di erence in standard pro les between the several signal processors), the DM evolution over time is real and re ects physical changes in the electron content along that direction. It is therefore important to account for these long-term changes in DM and remove the appropriate amount in the transformation given by Eq. (2.2) in order to obtain accurate estimates of parameters with the most favorable precision. An initial, ideal strategy for TOA de-dispersion was to  t for o sets of DM from a pre-de ned value in small bin sizes of 80 days across the Mark IV and ASP data sets11. However, the numerous free parameters resulting from this strategy led to a lack of desirable precision, as well as noticeable covariances with several model parameters. We ultimately decided to employ the same technique used by Stairs et al. (2002) of measuring DM in large bins and  tting for time-derivatives within each bin. Five DM bins are applied to our data set, with each bin reporting an average epoch, a DM at that epoch, and a  rst-derivative that characterizes linear change within the entire bin. A nominal value of DM can then be determined for any TOA within that bin through a straightforward linear calculation. Due to the exclusion of Mark III 430-MHz data, we used and  xed the values of the Mark III DM bin while allowing all other bins and their parameters to  oat. We also extended the original Mark III bin used in Stairs et al. (1998) so that it was contiguous with the  rst Mark IV bin; there are no timing data in this extension region, so increasing the bin size has no e ect on DM measurements in this analysis. See Figure 2.3 for a graphical representation of DM evolution for PSR B1534+12, as well as Table 2.2 for values and their quoted uncertainties. The timescale and magnitude of DM evolution in PSR B1534+12 are comparable to changes seen in other pulsars in di erent directions (e.g. Kaspi et al., 1994; Ramachandran et al., 2006). In principle, the solar wind can contribute to the dispersive delay of a radio pulse as it traverses the local Solar System, and the contribution 11The Mark III 430-MHz data set is excluded from this timing analysis due to systematic errors attributed to imperfections in pulse-dispersion removal prior to coherent folding of pro les (Stairs et al., 1998). However, it was still used by Stairs et al. (1998, 2002) to determine the evolution of DM across the Mark III data set; we use their result for the Mark-III DM parameters, while  tting for the other DM blocks. 202.3. The timing model Figure 2.3: DM variation with time. Solid lines indicate linear change in DM across the bin, while dashed lines indicate the time span of data acquired with a labeled observing system. We extended the upper-bound of the Mark III bin from the last day of Mark III data acquired (MJD 49430) to the day before Mark IV data was  rst taken (MJD 50774) in order to make the bins contiguous; no data exists in this extension period, and so the extension of the bin does not a ect DM measurements. The points and their error bars are estimated by  xing all newly-determined parameters, and  tting for DM in uniform block sizes of 80 days using the TEMPO pulsar timing software. The large DM bins were used to obtain global timing solution, and the data points were  tted separately to con rm that this choice in DM modeling was valid. 212.3. The timing model is dependent on the location of the observatory over the course of Earth’s orbit about the Sun (You et al., 2007). This solar-DM component is most prominent for pulsars that lie close to the ecliptic plane. The position of PSR B1534+12 in Table 2.2 indicates that the object lies  30 above the ecliptic plane. Moreover, the expected solar contribution to DM was calculated to be much lower than was seen in the actual scatter of the 80-day DM points in Figure 2.3. A further motivation for neglecting the solar-wind component was an unexpected covariance with the timing parallax; a non-zero solar component caused the inferred distance to be twice as small than the value expected from theoretical estimates (see section 2.4.2). We therefore chose to ignore the solar contribution to DM, while acknowledging that our timing parallax is likely not reliable as a  tted parameter. 2.3.3 Theory-Independent Binary Model The orbital elements of interest are coded within the three relativistic time delays for the pulsar binary system, given by Damour & Deruelle (1986) as  R = x sin!(cosu e) + x(1 e 2)1=2 cos! sinu (2.7a)  E =  sinu (2.7b)  S =  2r ln  1 e cosu s[sin!(cosu e) + (1 e2)1=2 cos! sinu]  (2.7c) where the eccentric anomaly u is further related to the desired orbital pa- rameters through Kepler’s equations shown in Equations 1.4. The Damour-Deruelle (DD) timing model we used to describe the delay in pulse propagation due to orbital motion incorporates up to 10 free param- eters that are implicitly de ned in Equations 1.4 and 2.7. These expressions were derived with minimal consideration to a particular theory of gravity, allowing for direct comparisons and tests of various frameworks that predict certain values for the relativistic corrections to the orbit (Damour & Taylor, 1992). Five of these parameters are the conventional Keplerian parameters: the orbital period Pb; the projected semi-major axis x = a sin i=c; the or- bital eccentricity e; and the longitude ! and epoch T0 of periastron. The remaining  ve parameters are the PK e ects that characterize the radiative and quasi-static nature of the relativistic binary system: the orbital decay _Pb; the advance of periastron _!; the time-dilation and gravitational-redshift parameter  ; and the range r and shape s of the Shapiro time delay. 222.3 . Th e timin g m ode l Parameter DD Model DDGR Model Projected semimajor axis, x (s) . . . . . . . . . . . . 3.7294637(12) 3.7294639(3) Eccentricity, e . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.27367743(16) 0.27367734(8) Epoch of periastron, T0 (MJD) . . . . . . . . . . . . . 52076.82711327(2) 52076.82711327(4) Orbital Period, Pb (days) . . . . . . . . . . . . . . . . . . . 0.420737298876(6) 0.420737298877(2) Argument of periastron, ! (deg) . . . . . . . . . . . . 283.30601(3) 283.30602(2) Rate of periastron advance, _! (deg yr 1) . . . 1.755792(4) 1.7557927 Time-averaged gravitational redshift,  (ms) 2.072(1) 2.0709 Orbital decay, ( _Pb)obs (10 12) . . . . . . . . . . . . . . -0.1367(6) -0.19244 Shape of Shapiro delay, s = sini . . . . . . . . . . . . 0.978(3) 0.97469 Range of Shapiro delay, r = T m2 ( s) . . . . . 6.5(6) 6.628 Companion mass, m2 (M ) . . . . . . . . . . . . . . . . 1.3(1) 1.3458(4) Pulsar mass, m1 (M ) . . . . . . . . . . . . . . . . . . . . . n/a 1.3326(4)* Total mass, M = m1 +m2 (M ) . . . . . . . . . . . n/a 2.678456(8) Excess _Pb (10 12) . . . . . . . . . . . . . . . . . . . . . . . . . . n/a 0.0556(6) Table 2.3: Experimental and theoretical values of orbital elements for PSR B1534+12. Note that the values in parentheses denote the uncertainty in the preceding digit(s).  derived quantity 232.3. The timing model 2.3.4 Fitting Procedure In accordance with modern pulsar-timing techniques, the solution to the timing model given by Equations 1.1 and 2.2 is determined by minimizing the expression  2 = X i   ( i)  obs( i)  i  2 (2.8) where  i is the transformation of the ith TOA,  ( i) and  obs( i) are the corresponding expected and measured pulses phases, respectively, and  i is the uncertainty in the corresponding TOA. The uncertainties in  tted parameters are determined by the covariance matrices computed from the algorithms applied during the global  t for the timing solution. 242.3. The timing model Figure 2.4: Post t residuals for PSR B1534+12. Top panel indicates the data subsets by color, and the bottom plan plots residuals over the time span of our total set. Light-blue points represent Mark III 1400 MHz data; medium-blue and black points represent Mark IV 1400 MHz and 430 MHz data, respectively; red, blue, orange, magenta and green points represent ASP 424/428/432/436 MHz and 1400 MHz data, respectively. Later data (particularly the ASP 1400-MHz set) are more scattered due to smaller spectral channels at ASP 430 MHz, and a decreasing  ux density over time at 1400 MHz. The global- t reduced- 2 = 1:043. The weighted root-mean- square residual is  rms = 5:25  s. 252.4. Results and Interpretation 2.4 Results and Interpretation We used the TEMPO pulsar-timing software package12, a comprehensive analysis tool that incorporates all of the aforementioned processes, ephemeri- des, and clock corrections when determining our timing model. TEMPO also provides various binary models that users can choose to include into their timing model; in our case, we chose the DD model as the binary description. Pulse-phase residuals for the global  t are displayed in Figure 2.4. The large amount of scatter seen in the ASP 1400-MHz data is due to a decreasing  ux density at that observing frequency. Furthermore, the DM measurements during this era come almost entirely from the four ASP 430-MHz channels, so the (less numerous) ASP 1400-MHz points receive less weight in our  t, and are therefore slightly o set from zero. This o set likely re ects unmodeled frequency-dependent changes in the pulse pro le. Previous timing studies of PSR B1534+12 used the DE200 planetary ephemeris (Standish, 1990), the standard timing ephemeris during that era. We switched to the newer DE414 ephemeris and  tted our timing model so that the parameter values were extracted and reported with respect to a certain epoch, which we took as the midpoint of our data set. Therefore, direct comparison between parameter values presented in Tables 2.2, 2.3 and previously reported results will not be consistent. As a check, we carried out a global  t using the DE200 ephemeris and were able to reproduce the timing solution reported by Stairs et al. (2002). The key di erence between solutions was the improved precision from our analysis, mainly due to a signi cantly extended data set that was collected from the upgraded ASP observing machine. All  tted-parameter errors reported by TEMPO are subsequently doubled, in accordance with previous timing analyses of this pulsar. This is strictly because our TOA uncertainties have e ectively been increased when using the minimum-uncertainty approach mentioned above; this doubling is standard practice in pulsar timing when arrival-time uncertainties have been increased signi cantly. We therefore believe that uncertainties reported Tables 2.2, 2.3 re ect conservative estimates of the true 68%-con dence uncertainties. 2.4.1 Tests of General Relativity A key advantage of the DD timing framework is that its derivation has min- imal consideration to any particular theory of gravity (Damour & Deruelle, 12http://tempo.sourceforge.net 262.4. Results and Interpretation 1985, 1986; Damour & Taylor, 1992). Therefore, the values of orbital ele- ments presented in Table 2.3 can be directly compared to values predicted by any theory where expressions for the PK parameters are available. In the case of general relativity, the  ve PK parameters can be expressed in terms of the standard Keplerian parameters, the pulsar mass m1, and the binary-companion mass m2: _! = 3  Pb 2   5=3 (T M) 2=3(1 e2) 1; (2.9a) _Pb =  192 5  Pb 2   5=3 1 + 73 24 e2 + 37 96 e4  (1 e2) 7=2  T 5=3 m1m2M  1=3; (2.9b)  = e  Pb 2  1=3 T 2=3 M  4=3m2(m1 + 2m2); (2.9c) r = T m2; (2.9d) s = x  Pb 2   2=3 T 1=3 M 2=3m 12 = sin i (2.9e) where M = m1 + m2 is the total mass of the binary system in solar units, and T = GM =c3 = 4:925490947  s. The two stellar masses are the only a priori unknowns, as the Keplerian and PK quantities are readily measurable to high precision through proce- dures outlined in the previous section. Moreover, the masses of the binary components can be uniquely derived if two PK parameters are measured with signi cance. Consistency checks can be performed if additional PK pa- rameters are extracted, and these checks are physically interpreted as tests of the gravitational theory under consideration. A standard representation of such tests is shown in Figure 2.5. Equations 2.9 are functions of the system masses, and all other parameters are  tted for in our DD-model timing solution. It follows that each equation can be inverted to put one mass as a function of the other. An m1  m2 plane can then be de ned, where each inverted equation represents a curve on such a plane (Taylor & Weisberg, 1989). For consistency in the strong- eld regime, all curves must intersect at a common point. In practice, each curve has an upper and lower bound as dictated by the determined uncertainty in the measurement; all curves must therefore overlap a common area in this mass- mass space in order for the theory to be self-consistent. Figure 2.5 shows 272.4. Results and Interpretation Figure 2.5: Mass-mass plot for PSR B1534+12. Nearly all  ve curves inter- sect at a common area on the space, producing two stringent tests of general relativity. The  lled circle represents the theoretical (DDGR) masses of the two binary components: [m1;m2]DDGR = [1:3458(4); 1:3326(4)] M . The _Pb curve is corrected for relative acceleration in the Galactic potential, which depends on an independent measure of distance. The uncertainty in this corrected curve is dominated by the uncertainty in the distance used. See the text for our interpretation of the non-agreement in the _Pb measurement. 282.4. Results and Interpretation that four of the  ve curves intersect a common area, therefore producing two positive tests of general relativity13. The TEMPO software provides an additional relativistic binary model that assumes that general relativity is the correct theory of gravity. This \DDGR" binary model uses the DD-model values of the PK quantities as  xed parameters, as well as Equations 2.9, in order to determine the theo- retical values of the two component masses. It also calculates the theoretical values of the PK parameters that are associated with the  tted masses, as well as an \excess" _Pb to allow for the discrepancy between the expected and measured values of orbital decay. These values are reported in Table 2.3, and show strong agreement between experiment and theory within the quoted uncertainties. In terms of precision, the _!   s combination provides the strongest test from the PSR B1534+12 system. The range in Shapiro delay is measured with signi cant but comparatively less favorable precision, and the measured rate of orbital decay is known to contain biases due to relative motion in the Galactic potential (see next section). A quality of this test can be inferred by considering the relative errors of the three _!    s parameters, which suggests that this test constrains general relativity to within  0:35 % of its predictions. This crude estimate is nearly an order of magnitude larger than the tests performed on the double-pulsar system (Kramer et al., 2006), and so the test serves as a less stringent but still useful, independent check of gravitational theory. The derived mass estimates of PSR B1534+12 and its companion are among the most precise stellar masses measured to date, and rival those of the Hulse-Taylor system in precision (Weisberg et al., 2010). The signi cant di erence in stellar mass between these two neutron stars advocates the possibility of mass inversion during the mass-transfer stage of binary evolution (Stairs et al., 2002). 2.4.2 A Theoretical Distance Estimate to PSR B1534+12 Equation 2.9b gives the value of _Pb as measured in the reference frame of bi- nary center-of-mass (Damour & Taylor, 1992). However, the observed value of _Pb that we extracted from our time series is measured with respect to the SSB. Therefore, we corrected the observed value of _Pb to the value measured in the binary center-of-mass reference frame via the transformation provided by Nice & Taylor (1995), 13The reason why _Pb does not intersect the same area is explained in the next section. 292.4. Results and Interpretation  _Pb Pb  gal =  az sin b c  v20 cR0 cos b  cos l +  sin2 l +  2  +  2 d c (2.10) prior to applying the tests and generating Figure 2.5 discussed that are in the previous subsection. Here, az is the vertical component of Galactic acceleration as modeled by Kuijken & Gilmore (1989), (b; l) = (0.8437181, 0.3464022) radians are the Galactic coordinates of PSR B1534+12, v0 is the solar-system velocity about the Galactic center, R0 is the distance of the Sun to the Galactic center, d is the distance to the pulsar,  = (d=R0) cos b  cos l, and  is the pulsar’s proper motion. The last term in Equation 2.10 represents the \Shklovskii" correction (Shklovskii, 1970). An estimate of the pulsar distance was determined by assuming a model of the electron number density in the direction of the pulsar (Taylor & Cordes, 1993), as well as using the determined value of DM and Equation 2.5; using this model, d = 0:7  0:2 kpc. The pulsar coordinates and proper motion  were determined through the pulsar timing techniques outlined above. The Galactic parameters were taken to be: v0 = 254 16 km s 1; R0 = 8:4 0:6 kpc; and az=c = (1:60 0:13) 10 19 s 1. Values for the Galactic parameters were taken from Weisberg et al. (2010). We then determined the \true" value of _Pb by subtracting the Galactic contribution found in Equation 2.10 from the observed value reported in Table 2.3: ( _Pb) true = ( _Pb) obs  ( _Pb) gal (2.11) Upper and lower bounds on ( _Pb)true are plotted in Figure 2.5. As is shown in the  gure, the transformed value of _Pb still cannot be brought into agree- ment with the other four PK quantities. We attributed this discrepancy to a de ciency in the electron-content model used to determine the pulsar distance by means of DM. A more recent electron number-density model was developed by Cordes & Lazio (2002), but cannot be used as it sets the theoretical distance to PSR B1534+12 calculated by Stairs et al. (2002) as a calibrating distance for their model. The bloated uncertainty in the transformed value is dominated by the rough DM-estimate of the pulsar’s distance. Bell & Bailes (1996)  rst noted that observed orbital-period derivatives could be used to determine precise distances to binary pulsars that are more reliable than distances from DM measurements or from timing parallaxes. For PSR B1534+12, this can be done by assuming that general relativity is 302.4. Results and Interpretation Figure 2.6: Monte-Carlo sampling of Galactic and pulsar-timing parameters used in the kinematic correction in Equation 2.10. 312.4. Results and Interpretation Figure 2.7: Distribution of theoretical distance to PSR B1534+12. We combined Equations 2.10 and 2.11, used the value of ( _Pb)GR obtained from the DDGR  t of our timing data, and solved for the distance required so that the measured value of _Pb could be brought into agreement with general relativity. We estimated this distance and its uncertainty through Monte- Carlo sampling of input parameters shown in Figure 2.6. 322.4. Results and Interpretation the correct description of gravity. This means that ( _Pb)true = ( _Pb)GR, where the latter quantity is the value of _Pb obtained by Equation 2.9b. We then combined Equations 2.10 and 2.11 to solve for a theoretical distance of PSR B1534+12, which we found to be dGR = 1:037 0:012 kpc (2.12) This value and its uncertainty were estimated by using a Monte Carlo sam- pling method: we randomly sampled az, R0, v0, and the \excess" _Pb from normal distributions associated with each parameter’s mean value and in- put uncertainty, as shown in Figure 2.6. We repeated this process 100,000 times, calculating a theoretical distance for each set of input parameters which lead to a normal-like distribution in dGR shown in Figure 2.7. The distance obtained in this analysis agrees with the distance found by Stairs et al. (1998, 2002), but with greater precision and was computed without the small systematic mistakes that a ected those measurements. Moreover, the relative uncertainty of this derived distance ( 1.2 %) is slightly smaller than that of the derived distance estimate of PSR J0437-4715 made by Verbiest et al. (2008) and rivals high-precision distances from parallaxes measured with VLBA interferometry (Torres et al., 2007, 2009, 2012) and the Hawaii Infrared Parallax Program (Dupuy & Liu, 2012). A downfall of the theoretical-distance method is that the orbital-decay measurement cannot be used as an unbiased test of gravitational theory until a signi cant, independent measurement of distance can be obtained. High- precision astrometry with the VLBA can provide possibly tighter constraints on the proper-motion contribution of the Galactic bias in _Pb measured for PSR B1534+12, which will have sizable implications for the inclusion of another reliable test of relativity theory (Chatterjee et al., 2009). 2.4.3 Pulsar Jitter and Instrumental Limits on Timing Precision Repeated observations and updated timing analyses of pulsars will lead to substantial improvements in their timing solutions. As demonstrated above, long-term timing observations and analyses of PSR B1534+12 provided a considerable re nement in relativistic parameters and tests of gravitational theory. However, unmodelable processes that a ect pulse TOAs will serve as a limiting agent in high-precision timing. Figure 2.2 displays random pulsar jitter seen in PSR B1534+12, which we attributed to physical instabilities in neutron-star magnetosphere. We used this jitter as a means to justify our weighting of data with a minimum-error approach. This inherently 332.4. Results and Interpretation random process will persist even as more data is accumulated, meaning that the timing solution we present in this work will not be substantially improved in precision with further upgraded observing systems for data taken at 430 MHz. We are still limited at 1400 MHz by signi cantly smaller signal-to-noise, so updated observing machines can help mitigate this low- signal issue. Uncertainties in TOAs are still expected to decrease as more long-term data are accumulated. One method of approximating jitter is to average consecutive TOAs together; however, this will minimize coverage of the orbit and weaken constraints on the Keplerian and PK parameters. 34Chapter 3 Pro le Evolution and Relativistic Spin Precession in PSR B1534+12 A massive, isolated sphere with a well-de ned vector of (spin) angular mo- mentum will carry the same orientation relative to a distant observer. A similar \gyroscope" undergoing binary motion with another massive object will, in stark contrast, experience a systematic change in orientation due to the warped space-time in which this vector is being carried through (de Sit- ter, 1916). This e ect, commonly referred to as \de-Sitter" or \geodetic" precession, will amount to a misalignment between the initial and  nal spin- angular momentum vector of the gyroscope relative to a distant observer af- ter one full orbit. Another analogous e ect, known as \Lense-Thirring" pre- cession14, will cause the orbit to precess given a rotating companion (Lense & Thirring, 1918). The resultant e ect from both contributions is hereafter referred to as relativistic spin precession. Recent experiments carried out by the Gravity B probe measured geodetic and Lense-Thirring precession rates of several Earth-orbit gyroscopes that are in good agreement with the predictions of general relativity (Everitt et al., 2011). In theory, binary pulsars serve as ideal candidates for studies on rela- tivistic spin precession (Damour & Ru ni, 1974; Barker & O’Connell, 1975). These rapidly-rotating, compact objects can generally be approximated as point-like masses with large spin-angular momenta. Therefore, pulsars in binary orbits will undergo the same gravitational e ects that gyroscopes ex- perience as they orbit the Earth, but in a considerably stronger gravitational  eld. In practice, the precession of the pulsar’s radio beam is detected as secular changes in the pulse pro le over time; long-term evolution of pulse- pro le components due to relativistic spin precession can then be seen as shifts in component amplitudes and/or locations across the pulse phase. The Hulse-Taylor pulsar provided the  rst evidence of relativistic spin precession 14this is also known as \frame dragging". 35Chapter 3. Pro le Evolution and Relativistic Spin Precession in PSR B1534+12 in a pulsar binary system (Weisberg et al., 1989). A subsequent study was able to derive the full geometry of the pulsar by assuming a cone-like ra- dio beam structure, and associate each pro le at a particular epoch as a slice of the beam model (Kramer, 1998). More recently, relativistic spin precession was inferred in the double-pulsar system (Lyne et al., 2004) by modeling the observed time-dependent  ux decrement pattern of pulsar A at superior conjunction with the precessing pulsar B as a magnetospheric eclipsing event (Breton et al., 2008). The measured precession rate in the double-pulsar system agrees with general relativity to within  13% of its predictions. This chapter presents the current results15 of an updated pro le-evolution analysis using PSR B1534+12. Relativistic spin precession in PSR B1534+12 was  rst discovered by Arzoumanian (1995), although he was not able to measure orbital aberration with signi cance. A following analysis by Stairs et al. (2004) was able to derive a geodetic precession rate  GR1 for the pulsar that was in accordance with the prediction of general relativity (Barker & O’Connell, 1975),  GR1 = 1 2 T 2=3  Pb 2   5=3 m2(4m1 + 3m2) (1 e2)(m1 +m2)4=3 (3.1) where the quantities on the right hand side are the usual Keplerian and mass parameters as discussed in Chapter 2. The precession rate for PSR B1534+12 measured by Stairs et al. (2004) was  1 = 0:44 +4:6  0:2 yr  1 with 95% con dence. Using the high-precision timing measurements presented above, the expected precession rate for PSR B1534+12 is  GR1 = 0:51  yr 1. The study con rmed general relativity by examining a di erent physical ef- fect, but did so with limited precision. Moreover, their study developed a general method for measuring the precession rate by simultaneously measur- ing the secular change in pulse-pro le shape and relativistic aberration16 of the pro le across the orbit due to binary motion. This combination of e ects allowed for direct measurement of the precession rate without the need for a beam-structure model, which is a key strength of the method. We therefore hoped that the inclusion of more pulse-pro le data would better constrain the precession rate and even count as an additional test of relativity theory. 15This analysis is not complete and will be an ongoing study. 16To date, no other binary pulsar has exhibited the orbital aberration seen in PSR B1534+12. 36Chapte r 3. Pro l e E volutio n an d Relativisti c Spi n Preces sio n in PS R B1534+1 2 Parameter 1998 1999 2000 2001 2003 2005 2008 Other Observation type camp. camp. camp. camp. camp. camp. camp. ltt Observation system M-IV M-IV M-IV M-IV M-IV M-IV, ASP ASP M-IV, ASP Mean date (MJD) 51021 51317 51775 52080 52803 53549 54697 n/a Orbital phase span 0.01-0.9 0.1-0.8 0.0-1.0 0.0-1.0 0.0-1.0 0.0-1.0 0.0-1.0 n/a # of binned pro les used 7 4 10 9 9 8, 12 12 16, 20 Table 3.1: Logistics of pulse-pro le data sets used in the pro le-evolution analysis of PSR B1534+12. All data were collected using the Arecibo Observatory. The overall data set is comprised of six observational campaigns (\camp."; described below), with an overlap of observing machines during the 2005 campaign, along with high signal-to-noise long-term timing (\ltt") data. 373.1. Data Reduction and Observing Strategy 3.1 Data Reduction and Observing Strategy We used the same data set presented in Chapter 2 where 430-MHz data were available, which were the Mark IV and ASP data subsets. In the case of PSR B1534+12, pro le evolution at 430 MHz can be more easily studied as the signal strength is substantially larger than its 1400-MHz counterpart (Stairs et al., 2000b). Raw data were processed and calibrated in the same manner as the data used above for pulsar timing. For this analysis, how- ever, we were interested in the actual pulse pro le itself, as opposed to the topocentric time at which the pro le was observed. We therefore \rotated" every available pro le to a common pulse phase for direct and consistent comparison. This was done by generating a set of polynomial coe cients at every epoch for Equation 1.1, using the \prediction" mode of TEMPO, based on the full timing solution derived in Chapter 2; these coe cients characterize the variation in observed pulse phase over the time span of our data set. Based on these sets of coe cients and the time-stamps of every pro le, we shifted each pro le to a pulse phase of zero. Several observing strategies were used when collecting data over the years; these observing \types" can be broken into two categories: \long- term timing" and \campaign" observations. Long-term timing observations occurred on a relatively frequent ( bi-monthly) basis, with an average observing time of forty minutes. These data were necessary for tracking DM variation over time, as demonstrated in Section 2.3.2 above, as well as providing an approximately continuous set of TOAs that is crucial for timing-precision purposes. We used individual long-terming time pro les with the highest signal-to-noise (S/N  250) in this precession study. In contrast, campaign observations were comprised of dense observing sessions that occurred every day for up to twelve days, and lasted several hours on each day. The purpose of these campaign sessions was to obtain the highest- S/N snapshot of the pulse pro le at that particular epoch, as well as obtain pulse-pro le data over the course of the pulsar’s orbit. Full coverage of the orbit is important for studies of orbital aberration of the pro le. The e ects of precession and aberration on a pulse pro le are generally anticipated to be measurable, albeit minute in scale. All pro les recorded during a campaign era were  rst binned by the orbital phase at which they were emitted, in order to build S/N as well as obtain a representative pro le across di erent points of the binary orbit. Pro les within each bin were subsequently folded together to build S/N of the representative (average) pro le. We divided the orbital phase into twelve bins for this analysis. 383.1 . Dat a Reductio n an d Observi ng Strateg yFigure 3.1: Principal-component analyses for the (complete) Mark IV and ASP pro les. The left pair of plots display the  rst (P0) and second (P1) principal components derived from 63 Mark IV pro les. The right pair shows the same two principal components, but derived from 44 ASP pro les. It is not immediately clear why the two P1 components are di erent in shape, but possibilities for this di erence can include: di erences from 8-bit (ASP) vs. 4-bit (Mark IV) sampling; or physical/nonlinear changes in the pulse pro le. 393.2. Methodology 3.2 Methodology Pro le evolution due to pulsar precession is usually studied by assuming a model of the two-dimensional beam structure and associating the evolution with a secular change in beam orientation with respect to a distant observer (Kramer, 2002). However, Stairs et al. (2004) developed a general method for measuring a precession rate that is independent of the unknown beam model. We employed this procedure in this updated pro le-evolution study. The key concept is to measure several pro le-evolution e ects: the long- term (relativistic spin) precession of the pulsar; and the periodic aberration of the pro le that is modulated from binary motion of the system. This is done by deriving a parameter that characterizes the overall shape of a given pulse pro le; this quantity (F ) is generally a function of time t, viewing angle  , and eccentric anomaly u of the orbit, F ( ; t; u) = F ( ) + dF dt (t t0) +  AF (u) (3.2) For small changes in the viewing angle, F ( )  F ( 0) +  F 0, where F 0 = dF=d . Stairs et al. (2004) interpreted the F 0 quantity as the two-dimensional beam structure, a quantity that is initially unknown but can be assumed to stay constant across our data span. The time- and orbital-dependent e ects are related to the precession rate and various geometrical quanti- ties (Damour & Taylor, 1992), where Stairs et al. (2004) presented these equations as  AF = F 0  1 sin i [ cos  S(u) + cos i sin  C(u)]; (3.3a) dF dt = F 0 1 sin i cos  (3.3b) Equation 3.3a represents the short-term contribution from orbital aber- ration:  1 = 2 x=(Pb p 1 e2) is the characteristic velocity of the pul- sar, and the Keplerian quantities (x; Pb; e) are measured from the pulsar- timing analysis presented above; C(u) = cos[!+Ae(u)]+e cos! and S(u) = sin[! + Ae(u)] + e sin! are functions of the periastron argument ! and the orbital argument u de ned in Equations 1.4; i is the inclination of the or- bit17, which we measured through the Shapiro timing delay; and  is an angle subtended by the ascending node of the system and the projection 17We measured sin i = 0.978(3) from our timing analysis presented in Chapter 2. How- ever, there is still an ambiguity of sign for cos i. 403.2. Methodology of the pulsar spin axis. See Stairs et al. (2004) for a diagram of their de- rived spin, orbital geometry for the PSR B1534+12 system. Equation 3.3b represents the long-term change in pro le shape due to relativistic spin pre- cession. Both quantities are proportional to the unknown function F 0. The beam-structure dependence can therefore be avoided by measuring and com- paring both long- and short-term e ects, allowing for a model-independent determination of  1. In accordance with the methodology developed by Stairs et al. (2004), we derived nominal \reference" (P0) and \di erence" (P1) pro les for our sets of pro le data using the principal-component analysis (PCA) method (Press et al., 1992). The two sets we performed the following precession study on are: the (complete) Mark IV data set; and the ASP data set. In each case, the two pro les PCA pro les characterized18 the evolution across our data span and can be related to each of our observed pulse pro les P as a linear combination of time- and orbital-phase-dependent coe cients through the relation P = c0P0 + c1P1 (3.4) We determined the (c0; c1) coe cients for every pro le by applying this cross-correlation algorithm in the frequency domain. We then computed the quantity F = c1 c0 (3.5) which Stairs et al. (2004) de ned as an indicator of pro le shape that can- celled interstellar-scintillation e ects on the pulse amplitude. We therefore used Equations 3.3, 3.4, 3.5 in order to solve for the shape F as a function of time, as well as the C(u); S(u) quantities which characterize the aberration e ect. We used an in-house computer program written by I. H. Stairs that simultaneously  ts for the pro le shape as a function of these quantities, based on the computed value of F and orbital phase of each pro le in our data set. 18It should be acknowledged that an additional non-zero PCA component was obtained for the ASP data set, which could indicate higher-order evolution in the pulse pro le at 430 MHz. However, we chose to only consider the  rst two principal components by using Equation 3.5 as the measure for pro le shape. 413.2. Methodology Figure 3.2: Comparison of pro le shapes between the original Mark IV data set used by Stairs et al. (2004) and our version of 51 (out of 54) of their pro les. The line represents equality between shapes. The key di erence between our data set and their original set is the timing solution that was used to rotate the pro les to a pulse phase of zero. We used the timing solution presented in this updated analysis, whereas they used the timing solution published by Stairs et al. (2002). 423.3. Current Results 3.3 Current Results As a test for this analysis, we ran the simultaneous linear- tting program on our (rotated) versions of the same Mark IV pro le data used by Stairs et al. (2004) in their study. Their analysis used a total of 54 pro les, but raw timing/pro le data for three of these (long-term timing) pro les were not made available in time for this work, as they are stored on a hard disk at a di erent university. We therefore only use 51 of their pro les. The di erence between their data and ours is that they rotated their pro les using the Stairs et al. (2002) timing solution, while we used the timing solution presented in Chapter 2 of this work. This check was carried out to con rm their results using an updated timing solution, prior to performing the full pro le-evolution analysis that incorporated even more Mark IV data and the ASP pro les as well. Figure 3.2 shows that the shapes we calculated for our rotated set of pro les agree with the shapes of the same pro les used by Stairs et al. (2004), despite using a newer timing solution. Moreover, the simultaneous  t yielded a precession rate of  1 = 0:52 +8:9  0:3 yr  1 with 95% con dence, in agreement with their published results and with the value predicted by general relativity. The uncertainty in this measurement is estimated from a standard bootstrap method. The next step was to to include pulse pro les collected after the analysis performed by Stairs et al. (2004) into this updated precession study. We  rst incorporated the remaining Mark IV data collected after their study { which is comprised of the 2005 Mark IV campaign and several long-term timing pro les { to our version of their 51 pro les. These pro les were also rotated to a pulse phase of zero, and selected for use based on their S/N value: eight of the twelve orbitally-binned 2005 campaign pro les were included in the analysis, as well as four long-term timing pro les. Therefore, we used a total of 63 data points for the complete Mark IV pro le analysis. The shapes for each of these pro les were determined using the Mark IV PCA results shown in Figure 3.1. The results from this analysis are displayed in Figure 3.3, and once again con rm the result published by Stairs et al. (2004) with a measured precession rate of  1 = 0:39 +2:8  0:2 yr  1 with 95% con dence, and a derived angle  =  108  13 . The orbital aberration is also shown on the right-hand-side of Figure 3.3, where Mark IV pro le shapes and best- t aberration model are plotted against an \aberration angle", aberration angle = sin 1(S(u) +  ) (3.6) where  is an arbitrary phase in order to shift the values of S(u) to a range 433.3. Current Results for which the inverse-sine is well de ned. We set  = 0:26 for all data sets, and chose to plot shapes against this angle in order to show the periodic change measured from the simultaneous  t due to orbital aberration of the pro le. However, computational problems arose when applying the same proce- dure to the ASP data set. PCA components for ASP pro les are shown in Figure 3.1, and the P1 component has a noticeably di erent shape when compared to its Mark IV counterpart. It is not immediately clear if these di erences re ect physical changes in the pro le evolution itself, or the in- strumental di erences in bit sampling between the Mark IV and ASP ma- chines mentioned in Chapter 2. Moreover, the results from the simultaneous-  t program using only the ASP pro les indicated that the range of values for S(u) could not be shifted to a suitable range for calculating the aber- ration angle. The precession rate derived from this analysis is less con- sistent with the prediction from general relativity ( 1 = 0:14 +0:2  0:1 yr  1 with 95% con dence), and the results are plotted in Figure 3.4. Four points were excluded from these plots after the simultaneous  t was ap- plied to the ASP data, because the values of the quantity (S(u) +  ) lay outside of the range  1  S(u) +   1. The best- t model for long-term changes in F shows that precession is still occurring, but that the long-term change in pro le shape is occurring at a di erent rate than indicated from the Mark IV analysis: the slope of Mark IV long-term shape evolution is s = (2:14+0:1 0:1)  10  3 % day 1 with 95% con dence, while the analogous ASP slope is s = (2:73+0:1 0:2) 10  3 % day 1 with 95% con dence. The best-  t aberration model has a slightly larger amplitude than the Mark IV aber- ration measurement, but has a comparable phase and yields  =  137 46 , which is consistent with the value derived from the Mark IV analysis. These issues in computation and discrepancies in PCA/ t results will be investi- gated further in order to obtain a better understanding of these di erences and, hopefully, allow us to combine these two data sets for a global analysis of pro le evolution over the fourteen-year data span of the Mark IV and ASP eras. 443.3 . Curre nt Result s Figure 3.3: Measurement of relativistic spin precession in PSR B1534+12 using Mark IV 430-MHz data. The  gure on the left plots the pro le shape F = c1=c0 as a function of time; the  gure on the right plots the pro le shape F as a function of an aberration angle de ned in the text. In both plots, the solid lines represent the best- t models for long-term and aberrational precession, respectively. The measured precession rate from this analysis is  1 = 0:39 +2:8  0:2 yr  1 with 95% con dence and agrees with the prediction of general relativity. 453.3 . Curre nt Result s Figure 3.4: Measurement of relativistic spin precession in PSR B1534+12 using ASP 430-MHz data. This  gure plots 40 ASP pro le shapes F = c1=c0 as a function of time (left) and aberration angle (right); 44 pro les were used in the analysis, but 4 points were excluded due to an unde ned aberration angle (see text). The solid lines in both plots represents the best- t model for long-term precession and orbital aberration, respectively. The derived precession rate {  1 = 0:14 +0:2  0:1 yr  1 with 95% con dence { is less consistent with the prediction of general relativity than the Mark IV analysis. See text for a discussion of these results.46Chapter 4 Summary, Conclusions, and the Future We presented several analyses that probed relativistic gravity using the PSR B1534+12 binary system. An updated timing solution was derived by com- bining data sets collected over the past twenty-two years, and obtained with several generations of pulsar signal processors. This timing model accounted for every relevant astrophysical process that systematically a ected every pulse TOA measured at the Arecibo Observatory in Puerto Rico. Such processes included: relative motion between the pulsar-binary and Solar systems; relativistic corrections associated with massive bodies within the Solar system; the (time-dependent) amount of electronic material along the line of sight to the pulsar; motion of the Earth about the Sun; binary motion between the pulsar and its companion; and relativistic parameters associ- ated with the strong- eld nature of the pulsar binary system. Five PK parameters were measured with improved signi cance, and four of these pa- rameters were successfully used to con rm general relativity; our best test was the _!   s combination, which con rmed general relativity to within 0.35% of its predictions. The measurement of orbital decay in this system is biased due to relative motion of the two systems in the Galactic potential; the transformation between these references frames requires a reliable, inde- pendent measurement of distance, which we do not yet have. However, we were able to invert the problem and estimate a \theoretical" distance that would bring the observed value of orbital decay and the \excess" orbital de- cay due to the Galactic bias into agreement with the prediction from general relativity. This theoretical distance was estimated to be dGR = 1:037 0:012 kpc, in agreement with last timing study of PSR B1534+12 published by Stairs et al. (2002), and with signi cantly improved precision. Other timing results were obtained that complemented the general-relat- ivistic timing studies. We were able to estimate variation in the electron content of the Galaxy along the line of sight to PSR B1534+12 by binning pulsar DM across our data span and measuring time-derivatives within these bins. Furthermore, we examined pulse TOAs during a time-span where the 47Chapter 4. Summary, Conclusions, and the Future Mark IV and ASP observing machines overlapped in acquired data and obtained evidence for magnetospheric activity in PSR B1534+12. The im- plications from this pulse jitter are important, as it puts a type of  oor on the lowest amount of timing precision allowed for this system with upgraded pulsar observing machines, at least at low observing frequencies where this pulsar is brightest. We argued that better instrumentation will not sig- ni cantly decrease TOA uncertainties. However, future long-term timing of PSR B1534+12 will gradually produce  tted parameters with improved precision compared to the solution presented in this timing study. We also performed tests on long-term changes in the pulse pro le at 430 MHz, which previous studies have linked to geodetic precession. We carried out the same analysis performed by Stairs et al. (2004) on an extended set of Mark IV pro les, and were able to measure long-term and short-term changes in pro le shape that we attributed to relativistic-spin precession and orbital aberration of the pro le, respectively. We measured a preces- sion rate of  1 = 0:39 +2:8  0:2 yr  1 with 95% con dence that is independent of pulse-beam structure. However, the ASP analysis produced somewhat con-  icting results and yielded a precession rate of  1 = 0:14 +0:2  0:1 yr  1 with 95% con dence, which is less consistent with the predictions of general relativity than the Mark IV test. The ASP pro le still exhibited a long-term change in pro le shape with a time-slope of s = (2:73+0:1 0:2)  10  3 % day 1 with 95% con dence, and is signi cantly di erent than the corresponding Mark IV slope of s = (2:14+0:1 0:1)  10  3 % day 1 also with 95% con dence. This may indicate an intrinsic change in pro le shape that occurred towards the beginning of the ASP era, or instrumental di erences between the Mark IV and ASP machines. The issues encountered with the ASP analysis require further scrutiny of the ASP data, the results obtained with these pro les, and possible solutions to these computational problems. Future studies on this pulsar will primarily focus on the long-term evo- lution of timing parameters and pulse-pro le shape, re ning the current precession software, and developing di erent methods for extracting a pre- cession rate of the pulsar. Stairs et al. (2004) measured changes in the polarization of the pulse signal from PSR B1534+12, and were able to in- fer the complete geometry of the pulsar-binary system by combining results from the pro le-shape analysis mentioned above. This polarization study will be improved with the additional years’ worth of data acquired since its publication in 2004. Moreover, long-term timing observations can continue tracking DM variation over time, as well as provide more insight into pulse jitter with the prospect of future observing systems. Subsequent astrometry of PSR B1534+12 with the VLBA or future SKA can provide high-precision 48Chapter 4. Summary, Conclusions, and the Future constraints on the distance to this objects, possibly allowing the inclusion of the orbital decay as another test of relativistic gravity. 49Bibliography Arzoumanian, Z. 1995, PhD thesis, Princeton University Backer, D. C. & Hellings, R. W. 1986, Ann. Rev. Astr. Ap., 24, 537 Barker, B. M. & O’Connell, R. 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