ABSTRACT
We present precise phase-connected pulse timing solutions for 16 γ-ray-selected pulsars recently discovered using the Large Area Telescope (LAT) on the Fermi Gamma-ray Space Telescope plus one very faint radio pulsar (PSR J1124−5916) that is more effectively timed with the LAT. We describe the analysis techniques including a maximum likelihood method for determining pulse times of arrival from unbinned photon data. A major result of this work is improved position determinations, which are crucial for multiwavelength follow-up. For most of the pulsars, we overlay the timing localizations on X-ray images from Swift and describe the status of X-ray counterpart associations. We report glitches measured in PSRs J0007+7303, J1124−5916, and J1813−1246. We analyze a new 20 ks Chandra ACIS observation of PSR J0633+0632 that reveals an arcminute-scale X-ray nebula extending to the south of the pulsar. We were also able to precisely localize the X-ray point source counterpart to the pulsar and find a spectrum that can be described by an absorbed blackbody or neutron star atmosphere with a hard power-law component. Another Chandra ACIS image of PSR J1732−3131 reveals a faint X-ray point source at a location consistent with the timing position of the pulsar. Finally, we present a compilation of new and archival searches for radio pulsations from each of the γ-ray-selected pulsars as well as a new Parkes radio observation of PSR J1124−5916 to establish the γ-ray to radio phase offset.
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1. INTRODUCTION
Pulsar timing involves making precise measurements of pulse times of arrival (TOAs) at an observatory (or spacecraft) and then fitting the parameters of a "timing model" to those measurements. This powerful technique enables extremely high precision measurements that probe numerous topics in fundamental physics and astrophysics. This is due to the ability to construct a coherent timing model that accounts for every rotation of the neutron star over periods of years. Precise timing measurements on radio pulsars have yielded many fundamental advances including the first indirect detection of energy loss due to gravitational radiation (Taylor et al. 1979) and confirmation of many effects predicted by general relativity (Stairs 2003; Kramer & Wex 2009).
Until recently, pulsar timing was only practical in the radio and, in some cases, soft X-ray bands (Jackson & Halpern 2005; Livingstone et al. 2009, for example). For radio and X-ray quiet/faint pulsars discovered with the Large Area Telescope (LAT) on Fermi, the only option is to time them directly using the γ-ray data. Earlier instruments, such as EGRET on the Compton Gamma-Ray Observatory, required very long exposures to even detect a handful of γ-ray pulsars and it only observed them occasionally, typically during a few 2 week viewing periods spread over the 9 year mission. With the LAT, we have a vastly more powerful instrument for long-term pulsar studies. First, its effective area (∼8000 cm2 at 1 GeV), energy coverage (20 MeV to >300 GeV), and point spread function (∼08 at 1 GeV) are greatly improved, providing a large increase in instantaneous sensitivity over EGRET (Atwood et al. 2009). Second, because Fermi operates in a continuous all-sky survey mode with a very large field of view (∼2.4 sr), it accumulates data on all pulsars in the sky roughly uniformly at all times. This allows long evenly sampled timing observations of all pulsars detectable with Fermi.
In this paper, we describe the techniques developed for precise timing of pulsars using the γ-ray photon data provided by the LAT. We then apply this method to the first 16 γ-ray-selected pulsars discovered in blind searches of LAT data (Abdo et al. 2009a) plus one additional radio pulsar (PSR J1124−5916), which is too faint for routine radio timing (Camilo et al. 2002). The timing models presented here are updated versions of those used for these pulsars in the First LAT Catalog of Gamma-ray Pulsars (Abdo et al. 2010d), and this paper documents the methods used to create those models. In the case of the bright Vela and Geminga pulsars, these methods were used to provide high-precision timing models used for phase-resolved analysis (Abdo et al. 2010b, 2010e).
Timing observations provide a wealth of important information critical to the understanding of these newly identified pulsars. First, one gets a measurement of the period and period derivative of the source. Having these two numbers allows us to derive estimates of several key parameters including the characteristic age, the inferred dipole magnetic field strength, and the spin-down energy loss rate. These parameters are fundamental to understanding the astrophysics of the system. For example, the characteristic age is useful (though certainly not definitive) in the context of arguments for or against associations with supernovae and pulsar wind nebulae (PWNe).
The next critical parameter in the timing model is the pulsar position. Estimating the source position from the reconstructed photon arrival directions can yield localizations that are good to a few arcminutes, but to do better than this requires timing. For young or middle-aged pulsars, the LAT can measure pulse arrival times with accuracies of the order of a millisecond,16 which can be fit to determine positions to arcsecond accuracy. Accurate positions then allow deep counterpart searches in the X-ray, optical, and radio bands, and remove the effects of position error on the remaining timing parameters, most notably the spin-down rate.
Once the basic spin and position parameters are well determined, timing allows us to investigate the rotational irregularities that are common in young pulsars. The primary phenomena are timing noise and glitches. Glitches are sudden increases in pulse frequency with a magnitude in the range Δν/ν ∼ 10−10–10−5, which provide valuable information about the superfluid interior of neutron stars (Andersson et al. 2003; Link et al. 1999, for example). Timing noise is unmodeled low-frequency (often quasi-periodic) noise observed in the residuals of many pulsars after all the deterministic spin-down effects have been removed. The magnitude of the timing noise has been shown to correlate with frequency derivative (i.e., torque; Cordes & Downs 1985; Arzoumanian et al. 1994; Hobbs et al. 2010), but its nature remains poorly understood.
Using the timing positions for these pulsars, we have also undertaken deep radio observations of the γ-ray-selected pulsars to search for radio pulsations. These searches have resulted in three discoveries of radio pulsations, which have been published elsewhere (Camilo et al. 2009; Abdo et al. 2010c). Here, we compile the upper limits from our observations, and from the literature, for the remaining pulsars. These are important inputs to population statistics and modeling of these apparently radio-quiet pulsars (Yadigaroglu & Romani 1995; Story et al. 2007, for example), as well as for guiding future deeper searches.
2. METHODS
2.1. Data Selection
For the current analysis, we use LAT data from 2008 August 4 through at least 2010 February 4, the first 18 months of LAT survey operations. We select LAT events from the most restrictive "diffuse" class of the "Pass 6" event reconstructions (Atwood et al. 2009) with a zenith angle of <105° to reduce contamination from atmospheric secondary γ-rays from near Earth's limb. For each pulsar, we find an optimal radius and low-energy cut to maximize the pulse detection significance. The radius cuts ranged from 05 to 16, while the low-energy cuts ranged from 50 to 900 MeV. Only photons that pass these cuts are included in the timing analysis.
The number of photons surviving these cuts ranged from 1174 (PSR J0633+0632) to 14,875 (PSR J1836+5925) in our 18 months of observing, a span in which the pulsars completed several hundred million rotations. This emphasizes the unique nature of timing pulsars using extremely sparse γ-ray data. Typically only of the order of 100 photons go into each TOA determination. In addition, unlike with radio pulsar timing, the integration time per TOA is equal to the spacing between TOAs, requiring the model to maintain phase accuracy over a much longer time than is required for radio pulsar timing where the integration time for a TOA is only minutes or hours. We constructed initial models using the prepfold tool from the PRESTO pulsar analysis software package.17 This tool performs epoch folding searches over narrow ranges of frequency and frequency first and second derivatives around the ν and values found from the blind search to maximize the signal-to-noise ratio. Combined with searching over a grid of possible pulsar positions, we are able to arrive at an initial model that maintains coherence well enough for TOAs to be determined and the pulsar timing to proceed as described below.
2.2. Geocentering
Pulsar timing software generally expects pulse TOAs to be measured at an observatory that is at a fixed geographic location on the Earth. Observations from a spacecraft in orbit about the Earth obviously do not satisfy this condition and this must be accounted for before computing a pulse arrival time. One could go directly to a timescale (such as Barycentric Dynamical Time (TDB)) at the solar system barycenter, but this requires a precise knowledge of the pulsar location before the correction can be done and removes the possibility of fitting for the pulsar position as part of the timing model. Instead, in order to remove the effects of the spacecraft motion on the photon arrival times while maintaining the ability to fit for astrometric parameters in the timing model, we correct the measured times to a fictitious observatory located at Earth's geocenter.
LAT photon times are recorded in Mission Elapsed Time, which is referenced to Terrestrial Time (TT) via the MJDREF key word in the FITS file header.18 Time is maintained onboard the spacecraft to an accuracy of better than 1 μs using a GPS receiver (Smith et al. 2008).
The geocentric time is the satellite time corrected for geometric light travel time to the geocenter. It does not include relativistic terms in the correction. The geocentric photon time tgeo is defined as
where rsat is the vector pointing from the geocenter to the spacecraft, is a unit vector pointing in the direction of the pulsar (here assumed to be at an infinite distance), and c is the speed of light.
This correction is applied using the Fermi science tool19 gtbary with the tcorrect=geo option. After this correction, the time system for the events is still TT, but all times are referenced to the geocenter. This correction has a maximum amplitude of 23.2 ms. Therefore, an error in the assumed pulsar direction as large as 1° causes a maximum error in the corrected time of only 0.4 ms.
2.3. TOA Determination
A TOA is determined from the photon times in a segment of data by first assigning pulse phases to each photon based on an initial model, then measuring the phase offset (Δ) required to align a standard template profile with the measured pulse profile (see Figure 1). This offset is then converted to a time using the pulse period (P) and added to the observation start time, T0, to become the measured TOA:
This TOA is the time when the fiducial point on the pulse profile arrived at the observatory, for a representative pulse during the observation interval. In the case of the geocentered LAT events, the TOA is for a fictitious observatory at the geocenter (observatory code coe in Tempo2; Hobbs et al. (2006)). The measurement can be made using binned pulse profiles (as in Figure 1) or directly from the unbinned photon phases, as described below.
For this work, we divide the full 18 month observation interval into segments of equal duration and determine a pulse TOA from each segment. The length of each segment is a balance between the signal-to-noise ratio and time resolution. Longer integrations result in a better signal-to-noise ratio and smaller statistical measurement errors on each TOA. On the other hand, shorter integrations provide finer time resolution that better samples the annual sinusoidal signal caused by Earth's motion around the Sun and the timing noise in some very noisy young pulsars. Therefore, we try to achieve at least one TOA per month. Fainter pulsars that require a substantial fraction of a year, or longer, per TOA measurement will be difficult to time with the LAT.
For most radio pulsar timing, the TOAs are determined from binned data. The start time of the observation is precisely known from the observatory clock. During the observation, data are folded using predicted phases for the pulsar based on a provisional ephemeris (e.g., using the -polyco option to Tempo2), and a binned profile for that observation is computed. The arrival time is computed by cross-correlating the observed profile with a high signal-to-noise template profile with the same binning. The accuracy of this measurement is improved if the cross-correlation is implemented as a fit to a linear phase gradient in the Fourier domain (an application of the Fourier shift theorem) rather than as a simple time-domain cross-correlation (Taylor 1992). Finally the TOA is determined as the observation start time plus the measured phase offset (converted back into time units).
The binned TOA determination method can also be applied to photon data, such as that from the LAT, by computing the predicted phase for each photon and building a binned pulse profile from the events. However, since we must make TOA measurements based on a small number of detected photons (often <100 photons go into each TOA), we can improve the TOA determinations by using an unbinned likelihood analysis to compute the TOA directly from the set of photon phases. This has been discussed before (Livingstone et al. 2009), but we have developed and generalized the technique and describe it in detail here.
We use an unbinned maximum likelihood method to estimate both the light-curve template and the TOAs with associated errors. In the likelihood formulation, the template is interpreted as a periodic probability density function to observe a photon at a given phase, f(ϕ; λ, Δ), with λ being some set of parameters describing the light-curve morphology and Δ accounting for the phase shift between the template and the given data set. The TOA is determined by Δ. The template is normalized such that ∫dϕ f(ϕ; λ, Δ) = 1.
We first start with a description of the template, f(ϕ; λ, Δ), which must be a continuous function that can be evaluated at any value of ϕ. In many cases, the statistics are sufficiently limited that the pulse profile can be described as a sum of a constant background component and a small number of Gaussian peaks. That is,
with Np being the number of Gaussian peaks, pi being the fraction of the total emission belonging to each peak, and g(x, σ) being a Gaussian with mean x and standard deviation σ. The domain of the Gaussian functions is assumed to be wrapped to [0, 1). Here, Δ can be associated with x1, the location of the first peak, while the remaining parameters are subsumed in λ.
With increasing statistics, the complexity of GeV light curves is no longer well represented by a simple sum of components. Bridge emission and peak asymmetry appears, and in general, no simple functional form is sufficient to describe the profile (e.g., the Vela pulsar; Abdo et al. 2010e). In this case, we prefer kernel density estimation (KDE) methods (de Jager et al. 1986). These methods result in a faithful, non-parametric representation of the light curve. However, even for bright pulsars, the available statistics are such that KDE methods produce a template with broadened peaks and "noisy" valleys, neither of which is desirable for the calculation of a TOA. A good estimator for the template should provide a smooth template (ignore fluctuations) while simultaneously preserving the structure and sharpness of the peaks, which is important because the template sharpness is a factor in the accuracy of the TOA measurements. We outline two approaches below that we have found to be effective.
The first forms the basis for the H-test statistic often used to assess pulsation significance in the absence of a template (de Jager et al. 1989). Coefficients of a Fourier expansion are estimated directly from the unbinned phases. For n photons, the coefficients for the kth harmonic are
and the light curve is given by
The only free parameter is the overall phase of the light curve; variation can be implemented with the Fourier shift theorem or simply by adding a constant phase to the data. The number of harmonics retained should offer an optimum balance between peak "sharpness" and noise in the remainder of the profile. We call this the "empirical Fourier" (EF) method.
The second method is a Gaussian KDE with a phase-dependent bandwidth, the idea being to use smaller bandwidth for the peaks while smoothing the valleys with a broader kernel. Here, f(ϕ) = ∑ni=1g(ϕ, ϕi, σi), with g being again the standard Gaussian. The bandwidth is determined by . Lest the reader worry about this circular definition, in practice we begin with a phase-independent bandwidth and iterate. As with the Fourier expansion, the only free parameter is the overall template offset.
In summary, for our template, we choose one of the three above methods (Gaussian, EF, or KDE) that produces the best results, as evidenced by the smallest rms residuals. A comparison of a pulse profile fitted with the three different templates is shown in Figure 2. The template choice is documented for each pulsar.
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Standard image High-resolution imageWith the template defined, the next step is to fit for the TOA from each segment of data, always using the chosen template to define the pulse profile and fiducial point. For the fitting, we start with an approximate timing solution (say from a ν- search) and fold the photon arrival times to obtain a set of phases {ϕ1, ϕ2, ..., ϕn}. The probability to observe these data, given the light-curve model, is formally inverted to form the log likelihood for the parameters, ∑ni=1log f(λ, Δ; ϕi). The parameters are varied to maximize the log likelihood. In the case of a multi-Gaussian template, the full data set is used to determine λ, while in determining TOAs, only Δ is fit. The likelihood surface generally has a Gaussian shape near the best-fit value for Δ, and we estimate the error on Δ by measuring and inverting the curvature of the log likelihood function at the best-fit value. Thus, to determine a TOA, the above fit is carried out for each subset to estimate for Δ and its error σΔ.
We mention here an additional challenge brought on by morphology of GeV light curves. An appreciable fraction of pulsars observed so far present light curves with two peaks of similar height with a separation close to 0.5 periods. These light curves are approximately invariant under a half-period translation, and statistical fluctuations may then lead to a likelihood maximum associated with the "wrong" peak. When this happens, a blind search for the maximum likelihood will result in a TOA off by 0.5/ν s which must be excluded from the timing solution fit. To avoid loss of data, rather than employing a blind search, we "track" the solution. That is, provided the trial solution is sufficiently good (and this is always the case with iteration), the drift of the actual arrival time from the predicted arrival time is much less than half of a period. We then simply restrict the search for the likelihood maximum to within a range that excludes the "wrong" peak.
2.4. Fitting Timing Models
The measured sets of TOAs are then fitted to a timing model using the pulsar timing software Tempo2 (Hobbs et al. 2006; Edwards et al. 2006). There are many parameters that can be used in the timing models. For all pulsars we fit for pulse frequency (ν), frequency first derivative (), and frequency second derivative (). We fit for as a measure of the timing noise present in each pulsar. In most cases, a significant is not detected and we report a 2σ upper limit on the magnitude . In the cases where is measured, we attribute this solely to timing noise as the expected from any reasonable braking index would be immeasurable over our 18 month data span. If this is still insufficient to whiten the residuals, we add a third frequency derivative, or harmonically related sinusoids (WAVE parameters in Tempo2, see Hobbs et al. (2004)) to the fit until a satisfactory model is achieved. Note that because of large covariances between the parameters, one should avoid fitting the position and WAVE parameters at the same time.
Finally, in three cases (PSRs J0007+7303, J1124−5916, J1813−2332), a glitch was observed and several glitch parameters were added to the fit, as described in Section 3.
In our models, the absolute phase 0.0 is arbitrary. In the case of pulsars with both radio and γ-ray emission, the convention is usually to assign phase 0 as the peak of the radio pulse (as a proxy for the more physically meaningful point of closest approach of the magnetic axis to the line of sight). However, since we do not observe radio pulsations from most of these pulsars we have not attempted to define a particular phase 0. However, we do report the parameter TZRMJD for our models, which is the reference for phase 0.0. Phase 0.0 is the pulse phase at the time TZRMJD at the geocenter at infinite frequency.
As a final note, we want to emphasize that different timing models are appropriate for different purposes. One of the primary goals of this work is to use the capability of pulsar timing with the LAT to make accurate localizations of γ-ray-selected pulsars, thus enabling multiwavelength studies of potential counterparts. A secondary goal is characterizing the timing noise in this set of pulsars. For other purposes, different models are appropriate. In particular, for many studies it would be preferable to freeze the position using an accurately known counterpart position (from Chandra X-ray observations, for example) to reduce the number of free parameters in the model.
The Tempo2 timing models described here will all be made available electronically at the Fermi Science Support Center (FSSC) Web site.20
2.5. A Tempo2 Plugin For Assigning Photon Pulse Phases
One important use of the timing models presented here is to be able to assign an accurate pulse phase to each photon in a LAT observation of a particular pulsar. This is needed for studies of the γ-ray light curve, phase-resolved spectroscopy, or "gating" the data on the off-pulse region to blank out a pulsar to enable studies of faint sources nearby (e.g., Cyg X-3; Abdo et al. 2009c). The standard Fermi Science Tool gtpphase was developed for this application. However, it suffers from the limitation that it cannot represent the full complexity of pulsar timing models that include frequency derivatives above , glitches, parallax, proper motion, or WAVE parameters. Tempo2, on the other hand, allows all of these as well as several additional orbital models for pulsars in binary systems.
For these reasons, we have implemented a graphical plugin for calculating pulsar phases for Fermi-LAT data with Tempo2, called fermi_plug.C. This plugin takes LAT event ("FT1") files with the photon arrival dates, spacecraft ("FT2") files with the satellite position as a function of time, and Tempo2 timing solutions and writes photon pulse phases in the FT1 event file. It uses the same spacecraft position interpolation algorithm as implemented in the Fermi science tool gtbary21 and derives barycentric photon times with analogous methods. The barycentric times are then treated as TOAs to find the pulsar phases relative to the absolute phase reference given by the TZRMJD parameter in the input ephemeris. The plugin thus allows Fermi-LAT data analysis with an ephemeris built from radio, X-ray, or γ-ray TOAs, with virtually unlimited complexity in the timing model. The plugin has been shown to reproduce the results from the Science Tools when working in tempo1 emulation mode, but using this mode is not required. It is available in the Tempo2 sourceforge distribution22 and from the FSSC.23 This plugin is suitable for use with any of the timing models presented here.
3. RESULTS
In this section, we present details of the timing models for each of the 17 pulsars listed in Table 1. The models are determined from the data set as described above. The statistical errors on the parameters are the (single parameter 1σ) uncertainties reported by Tempo2 from the fits. For the pulsars with no required in the model, we estimate the statistical error in the position fit from a fit with free, because this results in a more conservative error estimate that better accounts for the correlations between the astrometric and spin parameters.
Table 1. Pulsars Timed with the Fermi LAT
Name | Prev. Name | Period | |
---|---|---|---|
(ms) | (1034 erg s−1) | ||
J0007+7303 | ... | 315.9 | 45.2 |
J0357+3205 | J0357+32 | 444.1 | 0.6 |
J0633+0632 | ... | 297.4 | 11.9 |
J1124−5916 | ... | 135.5 | 1195.0 |
J1418−6058 | ... | 110.6 | 494.8 |
J1459−6053 | J1459−60 | 103.2 | 90.9 |
J1732−3131 | J1732−31 | 196.5 | 14.5 |
J1741−2054 | ... | 413.7 | 0.9 |
J1809−2332 | ... | 146.8 | 42.9 |
J1813−1246 | ... | 48.1 | 624.1 |
J1826−1256 | ... | 110.2 | 358.0 |
J1836+5925 | ... | 173.3 | 1.1 |
J1907+0602 | J1907+06 | 106.6 | 282.7 |
J1958+2846 | ... | 290.0 | 34.2 |
J2021+4026 | ... | 265.3 | 11.6 |
J2032+4127 | ... | 143.2 | 27.3 |
J2238+5903 | J2238+59 | 162.7 | 88.9 |
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The errors on the position in the tables and shown in the figures are statistical only (though in the figures they are 95% confidence, rather than 1σ since that is the standard practice for LAT error ellipses), and thus underestimate the true error on the position determinations. This is predominately because our span includes only 1.5 periods of the annual sinusoid induced by an error in the position. Timing instabilities present on a similar timescale can thus perturb the fitted position. In addition, there are strong covariances between the astrometric and spin parameters that mean that the parameters are not actually determined to as high a precision as indicated by the 1-parameter statistical errors. Because knowing the true positional uncertainties is very important for counterpart searches at other wavelengths, we have tried to quantify the magnitude of this effect by Monte Carlo simulation. We make the assumption that over the short span of data we have, the measured values of and are dominated by timing noise, not the secular spin down of the pulsar. To estimate the magnitude of the systematic error, we generate many simulated sets of TOAs, each one using the measured timing parameters for the pulsar, with the exception of and . For those two parameters, we replace them with normally distributed random values with mean zero and standard deviation equal to the measured value, or the upper limit in the case where is not significantly detected. For ν and we use random values distributed around the measured value with the measured uncertainty. Each trial set of TOAs is then fit with a 1 year sine wave plus a polynomial up to order (see Figure 3) and the magnitude of the sine wave is converted to a position offset (see Appendix A). We then compute the Monte Carlo estimate of the position uncertainty by measuring the position offset containing 68% of the trials. It is important to note that our simulations include random, uncorrelated, measurement errors as appropriate for the particular pulsar, so these position error estimates are of the total uncertainty, including both systematic and statistical components. Also, the fidelity of the estimates depends on how well our random polynomial model of the timing noise describes the actual situation, which is not well understood and may vary from pulsar to pulsar. Therefore, these estimates should be considered indicative of the magnitude of the position error, but not precise bounds on the systematic errors. Finally, in this analysis, we just consider the total position offset, so it yields an intermediate value in the cases where the position error region from the timing is highly elliptical.
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Standard image High-resolution imageFor all timing models we use the JPL DE405 planetary ephemeris (Standish 1998). All reported frequencies and epochs are referenced to the TDB time system (Seidelmann 1992) as has been the standard for pulsar work.24 The clock correction procedure is TT(TAI) and all fits are made with weighting by the TOA error estimates enabled (MODE 1). The reference time (TZRMJD) is for the geocenter at infinite frequency. The validity range for each model is included in the tables. Care should be taken when attempting to use these models outside of that range. In particular, models that include significant or higher order derivatives, or WAVE parameters, will extrapolate very poorly outside the fit range, since timing noise is a stochastic process and neither of those parameterizations reflect a physical model of the process.
In the following subsections, we discuss some of the main results from the timing of the individual pulsars. For each pulsar, we present the timing model in a table, the post-fit timing residuals, a two-dimensional phaseogram, and a pulse profile. In all cases, the optimized data selections used for the pulsar timing are also used to construct the two-dimensional phaseogram and pulse profile figures. The phaseograms are raw photon counts and are not exposure-corrected, so the apparent variations in brightness that can be seen are from exposure variations resulting from the ∼55 day precession period of the spacecraft orbit, the change in rocking angle during the mission, spacecraft reboots, or automatic repoints in response to γ-ray bursts. The fluxes of γ-ray pulsars are expected to be constant on timescales of days to months.
In the discovery paper (Abdo et al. 2009a), five of the pulsars were given names of the form JHHMM+DD because the declinations were not known with sufficient precision to justify a name of the form JHHMM+DDMM. In all five cases, we now know the position well enough to confidently add the additional precision to the names, as shown in Table 1. Also, in five cases (PSRs J1418−6058, J1741−2054, J1809−2332, J1813−1246, and J1958+2846) the current best-fit timing position would result in different last two digits of the declination than given in the discovery paper, although in several cases we know the name to be correct based on the X-ray counterpart position. In all cases, we follow the IAU preference for not changing a source name once it is given and we continue to use the original names, except where we have only added precision, as described above. See the sections on each individual source below for a discussion of the confidence in the previously proposed counterpart associations.
3.1. PSR J0007+7303
The timing model parameters for this pulsar are displayed in Table 2 and the timing position determination, post-fit residuals, two-dimensional phaseogram, and folded pulse profile for this pulsar are shown in Figures 4, 5, and 6, respectively.
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Standard image High-resolution imageTable 2. PSR J0007+7303
Parameter | Value |
---|---|
R.A., α (J2000.0)............................... | 00:07:00.6 ±02 |
Decl., δ (J2000.0).............................. | +73:03:07.0 ±06 |
Monte Carlo position uncertainty...... | 2'' |
Pulse frequency, ν (s−1).................... | 3.165827380(3) |
Frequency first derivative, (s−2)..... | −3.6136(2) × 10−12 |
Frequency second derivative, (s−3) | −7(1) × 10−23 |
Epoch of frequency (MJD)............... | 54952 |
Glitch epoch...................................... | 54952.652 |
Glitch Δν (s−1).................................. | 1.759(3) × 10−6 |
Glitch (s−2).................................. | 0 |
TZRMJD.......................................... | 54952.334185720257651 |
Number of photons (nγ).................... | 12790 |
Number of TOAs............................... | 55 |
rms timing residual (ms).................... | 2.2 |
Template profile................................. | KDE |
Emin.................................................... | 150 MeV |
ROI................................................... | 15 |
Valid range (MJD)............................ | 54682–55222 |
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This was the first pulsar discovered in a blind search of γ-ray data (Abdo et al. 2008) and is believed to be the pulsar powering the compact PWN RX J0007.0+7303 near the center of the shell-type supernova remnant CTA1. As seen in Figure 4, our timing position provides independent confirmation of that conclusion. In addition, we have detected a glitch in this pulsar on 2009 May 1 with a magnitude Δν/ν = 5.53(1) × 10−7, a typical glitch magnitude for a pulsar of this age. When we fit for position in the timing model, the glitch can be fully accounted for by a simple Δν at the time of the glitch. However, when we hold the position fixed at the Chandra position of the point source (00:07:01.56, 73:03:08.3; see Halpern et al. 2004) we find that an additional parameter is required. This can be modeled as a change in the frequency first derivative at the glitch of of 0.0010(2). It is important to note that and glitch are highly covariant and additional data will likely be required to determine whether timing noise or a frequency derivative change at the glitch is the correct model for the observed behavior. The properties of this source and the glitch will be discussed in more detail in a future paper (A. A. Abdo et al. 2011, in preparation).
3.2. PSR J0357+3205
The timing model parameters for this pulsar are displayed in Table 3 and the timing position determination, post-fit residuals, two-dimensional phaseogram, and folded pulse profile for this pulsar are shown in Figures 7, 8, and 9, respectively.
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Standard image High-resolution imageTable 3. PSR J0357+3205
Parameter | Value |
---|---|
R.A., α (J2000.0)............................... | 03:57:52.5 ±02 |
Decl., δ (J2000.0)............................... | +32:05:25 ±6'' |
Monte Carlo position uncertainty...... | 18'' |
Pulse frequency, ν (s−1)..................... | 2.251722292(3) |
Frequency first derivative, (s−2)..... | −6.61(1)× 10−14 |
Frequency second derivative, (s−3) | |
Epoch of frequency (MJD)................ | 54946 |
TZRMJD............................................ | 54946.341346723796502 |
Number of photons (nγ).................... | 1335 |
Number of TOAs.............................. | 25 |
rms timing residual (ms)................... | 5.3 |
Template profile................................ | 1 Gaussian |
Emin.................................................... | 250 MeV |
ROI.................................................... | 08 |
Valid range (MJD)............................. | 54682–55210 |
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PSR J0357+3205 is the slowest spin period (444 ms) and lowest (5.8 × 1033 erg s−1) pulsar in our sample. In the discovery paper (Abdo et al. 2009a), it was flagged as having a potentially large systematic error in the and the parameters derived from it, because of the uncertain position. The long period, low count rate, and relatively broad pulse profile still limit the timing precision to an rms of 5.3 ms, but nevertheless the frequency derivative is now determined to an accuracy of ∼0.2%.
For this low , the distance is constrained to be <870 pc, assuming the flux correction factor fΩ = 1 (Watters et al. 2009) and using the LAT γ-ray flux (G100) from Abdo et al. (2010d) to keep the γ-ray efficiency <1. As seen in Figure 7, no X-ray counterpart is apparent in a Swift image of the region, which is not surprising in such a shallow exposure. However, as the pulsar is at such a small distance, this is a promising target for deeper XMM-Newton or Chandra follow-up. Using the Tempo2 simulation capability, we predict a 1σ uncertainty on the timing position of 2'' after 5 years of observation.
3.3. PSR J0633+0632
The timing model parameters for this pulsar are displayed in Table 4 and the timing position determination, post-fit residuals, two-dimensional phaseogram, and folded pulse profile for this pulsar are shown in Figures 10, 11, and 12, respectively.
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Standard image High-resolution imageTable 4. PSR J0633+0632
Parameter | Value |
---|---|
R.A., α (J2000.0)............................... | 06:33:44.21 ±002 |
Decl., δ (J2000.0)............................... | +06:32:34.9 ±16 |
Monte Carlo position uncertainty...... | 35 |
Pulse frequency, ν (s−1)..................... | 3.3625291588(7) |
Frequency first derivative, (s−2)..... | −8.9991(3) × 10−13 |
Frequency second derivative, (s−3) | −2(1) × 10−23 |
Epoch of frequency (MJD)................ | 54945 |
TZRMJD............................................ | 54945.385967311181439 |
Number of photons (nγ).................... | 1174 |
Number of TOAs.............................. | 23 |
rms timing residual (ms)................... | 1.4 |
Template profile................................ | 2 Gaussian |
Emin................................................... | 550 MeV |
ROI.................................................... | 06 |
Valid range (MJD).............................. | 54682–55208 |
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This pulsar is also rather slow (297 ms) and faint (only 815 photons detected per year), but the timing is still quite good (rms = 1.4 ms), as a result of the very narrow pulses. The timing localization is close to the X-ray point source Swift J063343.8+063223 which was proposed as the counterpart by Abdo et al. (2009a).
To further study the X-ray counterpart, we obtained a 20 ks Chandra ACIS-S image of the region on 2009 December 11 (ObsID 11123). The X-ray point source counterpart to the pulsar is clearly visible in Figure 10. We measure a position of 06:33:44.142, +06:32:30.40, which is 46 from the best-fit timing position. To fit the spectrum of this source, we analyzed the data using CIAO version 4.3 with the latest calibrations (CALDB 4.1.1) applying the standard particle background subtraction and exposure correction. We extracted 326 photons from a 3.5 pixel extraction region around the source location (for a count rate of 1.63 × 10−2 counts s−1). We see no evidence for a compact (arcsecond-scale) PWN in the immediate vicinity of the point source. To fit the spectrum, we found that an absorbed blackbody + power-law model is required. We obtain the following parameters from our fits, with 90% confidence error estimates: nH = 0.15+0.16−0.10 × 1022 cm−2, kT = 0.11+0.03−0.02 keV, Γ = 1.5 ± 0.6. This model yields a 0.5–8 keV flux estimate of 9.2+1.8−1.2 × 10−14 erg cm−2 s−1. If we instead fit an absorbed neutron star atmosphere (nsa; Zavlin et al. 1996) plus power-law model, we find a somewhat higher nH of 0.24+0.12−0.21 × 1022 cm−2, a lower temperature of kT = 0.048+0.019−0.016 keV, and a similar photon index Γ = 1.39+0.6−0.3.
To look for larger scale extended emission, we smoothed the Chandra image with a Gaussian kernel of 15 width (see Figure 13) and find a faint X-ray nebula extending about an arcminute south of the pulsar. In the region of the PWN (as shown in Figure 13), we find an excess of 738 counts on a background of about 1600 counts and have fit the integrated spectrum with an absorbed power-law model. With all parameters free, we find nH = 0.1+0.3−0.1 × 1022 cm−2, Γ = 0.9+0.5−0.4 for a flux in the 0.5–8 keV band of 2.2 ± 0.5 × 10−13 erg cm−2 s−1, where the error regions are at the 90% confidence level. If instead, we freeze nH at 0.154 × 1022 cm−2, as found in the blackbody + power-law spectral fits of the point source, we find a 90% confidence range for the photon spectral index Γ of 0.74–1.29.
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Standard image High-resolution image3.4. PSR J1124−5916
The timing model parameters for this pulsar are displayed in Table 5 and the timing position determination, post-fit residuals, two-dimensional phaseogram, and folded pulse profile for this pulsar are shown in Figures 14, 15, and 16, respectively.
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Standard image High-resolution imageTable 5. PSR J1124−5916
Parameter | Value |
---|---|
R.A., α (J2000.0)............................... | 11:24:39.0(1) |
Decl., δ (J2000.0)............................... | −59:16:19(1) |
Pulse frequency, ν (s−1)..................... | 7.381334652(9) |
Frequency first derivative, (s−2)..... | −4.10029(9) × 10−11 |
Frequency second derivative, (s−3) | −8.6(4) × 10−22 |
Epoch of frequency (MJD)................ | 54683.281414 |
Glitch epoch (MJD)........................... | 55191 |
Glitch Δν (s−1)................................... | 1.18(9) ×10−7 |
Glitch (s−2)................................... | 1.94(2) ×10−13 |
TZRMJD............................................ | 55053.0521054597626 |
TZRFREQ (MHz).............................. | 1371.067 |
TZRSITE........................................... | 7 (Parkes) |
Number of photons (nγ).................... | 5030 |
Number of TOAs.............................. | 40 |
rms timing residual (ms)................... | 2.8 |
Template profile................................ | 2 Gaussian |
Emin................................................... | 200 MeV |
ROI.................................................... | 09 |
Valid range........................................ | 54682–55415 |
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This pulsar with a very small characteristic age ( yr) is associated with the supernova remnant G292.0+1.8 and is the only one in this sample that was previously known as a radio pulsar (Camilo et al. 2002). It has a very high of 1.2 ×1037 erg s−1 and exhibits a great deal of timing noise. It is also is very faint, with a 1.4 GHz flux density of only 0.08 mJy (Camilo et al. 2002) and far enough south that it can only be timed with the Parkes Telescope, where it requires several hours of integration to even get a detection. Therefore, it has not been regularly timed with radio observations since its discovery. Because there was no contemporaneous radio ephemeris available, the LAT pulsations from this source were discovered using a limited blind search around the known spin parameters. With our LAT timing, we are able to obtain TOA uncertainties of 1.5–3.2 ms every two weeks and obtain a phase-connected timing model. The timing position is 18 from the Chandra source CXOU J112439.1−591620 (Camilo et al. 2002). The pulsar exhibited a glitch of magnitude Δν/ν = 1.6 × 10−8 around MJD 55191. A small of −0.00472(3) was also observed at the glitch.
The very large measured results in a Monte Carlo position error estimate of about 1', but given the good agreement between the timing position and the Chandra position, this must be a large overestimate, perhaps because the assumptions inherent in the Monte Carlo estimate are violated. The measured results in a braking index , which is of comparable magnitude, but opposite in sign to the n = 3 expected for vacuum dipole braking (Lorimer & Kramer 2005). This measurement along with the substantial red noise still present in the timing residuals (see Figure 15) all suggest that the spin down of this pulsar is rather noisy.
To measure the radio to γ-ray phase alignment of this pulsar, we made a 5 hr observation with the Parkes Radio Telescope at a frequency of 1.4 GHz. Since this pulsar is not timed routinely in the radio, we required a new, contemporaneous, observation because the extreme timing noise in this system prevents the timing model from being extrapolated forward or backward in time. This radio light curve was presented previously in the First Fermi LAT Catalog of Gamma-ray Pulsars (Abdo et al. 2010d), but the absolute phase alignment presented there was incorrect. The version presented here correctly accounts for the delay from interstellar dispersion using DM = 330 pc cm−3. The new value for the lag from the radio peak to the first γ-ray peak (δ) is 0.128(3). This correction was also made to the catalog in an erratum (Abdo et al. 2010d).
3.5. PSR J1418−6058
The timing model parameters for this pulsar are displayed in Table 6 and the timing position determination, post-fit residuals, two-dimensional phaseogram, and folded pulse profile for this pulsar are shown in Figures 17, 18, and 19, respectively.
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Standard image High-resolution imageTable 6. PSR J1418−6058
Parameter | Value |
---|---|
R.A., α (J2000.0)............................... | 14:18:42.7 ±01 |
Decl., δ (J2000.0)............................... | −60:57:49 ±2'' |
Monte Carlo position uncertainty...... | 7'' |
Pulse frequency, ν (s−1)..................... | 9.043798163(1) |
Frequency first derivative, (s−2)..... | −1.38548(8) × 10−11 |
Frequency second derivative, (s−3) | 6.4(3) × 10−22 |
Frequency third derivative, (s−4).... | −8(2) × 10−29 |
Epoch of frequency (MJD)................ | 54944 |
TZRMJD............................................ | 54944.2886329214 |
Number of photons (nγ)..................... | 7283 |
Number of TOAs.............................. | 33 |
rms timing residual (ms)................... | 1.9 |
Template profile................................ | KDE |
Emin................................................... | 250 MeV |
ROI.................................................... | 05 |
Valid range (MJD)............................. | 54682–55205 |
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In the discovery paper, this pulsar was proposed to be associated with the PWN G313.3+0.1 ("The Rabbit"). Ng et al. (2005) find two point sources (R1 and R2) in Chandra and XMM observations of the region. Recently, Roberts (2009) reported a weak detection of X-ray pulsations at the period of PSR J1418−6058 in XMM data, so it is believed that R1 is the correct counterpart. However, the timing position is 14'' from the position of R1 (R.A. = 14:18:42.7, decl. = −60:58:03), which is significantly larger than the 2'' statistical error on the position. It is important to note that this pulsar is very noisy and the timing model, which includes terms up to the frequency third derivative, clearly does not fully describe the data (see Figures 18 and 19). This causes the statistical error to be underestimated and there is a significant systematic error on the position as well. For example, adding a fourth frequency derivative to the model causes the position to shift by 10''. As seen in Figure 17, there are three X-ray point sources near the nominal timing position, but none are coincident with the timing position. The X-ray point source R2 is not apparent in this image, so it is likely variable, and probably not the counterpart to the pulsar. A Monte Carlo estimation of the systematic error (see Section 3) on the position induced by the timing noise seen in this pulsar is 7'' for the polynomial model for timing noise and 40'' using the red noise model with an rms of 62 ms (as computed from the measured and for the pulsar). Therefore, we cannot exclude R1 as being the counterpart based on the positional disagreement. In addition, the faint X-ray source just north of the pulsar, which we call CXOU J141843.3−605734, is equally consistent with the timing and so further data, or a confirmation of the X-ray pulsations from R1, will be required to confirm the association with either source.
3.6. PSR J1459−6053
The timing model parameters for this pulsar are displayed in Table 7 and the timing position determination, post-fit residuals, two-dimensional phaseogram, and folded pulse profile for this pulsar are shown in Figures 20, 21, and 22, respectively.
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Standard image High-resolution imageTable 7. PSR J1459−6053
Parameter | Value |
---|---|
R.A., α (J2000.0)............................... | 14:59:29.99 ±006 |
Decl., δ (J2000.0)............................... | −60:53:20.7 ±04 |
Monte Carlo position uncertainty...... | 13 |
Pulse frequency, ν (s−1)..................... | 9.694559498(1) |
Frequency first derivative, (s−2)..... | −2.37503(5) × 10−12 |
Frequency second derivative, (s−3) | −4(2) × 10−23 |
Epoch of frequency (MJD)................ | 54935 |
TZRMJD............................................ | 54936.19962194 |
Number of photons (nγ).................... | 3305 |
Number of TOAs.............................. | 26 |
rms timing residual (ms)................... | 1.1 |
Template profile................................ | KDE |
Emin................................................... | 350 MeV |
ROI.................................................... | 07 |
Valid range (MJD)............................. | 54682–55210 |
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In the discovery paper, no counterpart was known for this pulsar. With the high precision timing now available, we see that the Swift image shows an apparent faint point source near (98 offset from) the timing position (see Figure 20). We call this source Swift J145931.3−605319, but its properties are not well constrained because of the faintness in the 6 ks Swift image. A deeper X-ray image is required to confirm this source.
3.7. PSR J1732−3131
The timing model parameters for this pulsar are displayed in Table 8 and the timing position determination, post-fit residuals, two-dimensional phaseogram, and folded pulse profile for this pulsar are shown in Figures 23, 24, and 25, respectively.
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Standard image High-resolution imageTable 8. PSR J1732−3131
Parameter | Value |
---|---|
R.A., α (J2000.0)............................... | 17:32:33.54 ±003 |
Decl., δ (J2000.0)............................... | −31:31:23 ±2'' |
Monte Carlo position uncertainty...... | 3'' |
Pulse frequency, ν (s−1)..................... | 5.0879411200(5) |
Frequency first derivative, (s−2)..... | −7.2609(3) × 10−13 |
Frequency second derivative, (s−3) | |
Epoch of frequency (MJD)................ | 54933 |
TZRMJD............................................ | 54957.3282196892 |
Number of photons (nγ).................... | 4236 |
Number of TOAs.............................. | 22 |
rms timing residual (ms)................... | 1.0 |
Template profile................................ | KDE |
Emin................................................... | 400 MeV |
ROI.................................................... | 05 |
Valid range (MJD)............................ | 54682–55207 |
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This source shows minimal timing noise, with only an upper limit of 2 × 10−23 s−3 on . The timing error ellipse is significantly elongated because of the low ecliptic latitude of the source (β = −82), causing the declination to be more poorly constrained than the R.A. Earlier Swift imaging showed no significantly detected X-ray source at the pulsar location, so we pursued a deeper observation with Chandra. Our 20 ks Chandra ACIS-S image (ObsID 11125) reveals an X-ray point source consistent with the timing position (see Figure 23). We measure the position as 17:32:33.551, −31:31:23.92, which is 09 from the timing position, well within the 95% confidence region.
We performed a spectral analysis of the source based on 79 photons from the point source (with ≲1 count from the background). Since the source is still detected even with a low-energy cut of 3.5 keV, it is clear that a non-thermal component is required. However, with the small number of counts, the power-law photon index cannot be constrained, so we freeze it at Γ = 1.5 in the fits. The spectral parameters from our fits to an absorbed blackbody + power-law are (with 90% confidence error regions) nH = 0.22+0.50−0.22 × 1022 cm−2, kT = 0.19+0.20−0.07 keV. The implied 0.5–8 keV flux estimate is (2.8 ± 0.7) × 10−14 erg cm−2 s−1 with the error at the 68% confidence interval. This corresponds to an unabsorbed flux of 4 × 10−14 erg cm−2 s−1.
3.8. PSR J1741−2054
The timing model parameters for this pulsar are displayed in Table 9 and the timing position determination, post-fit residuals, two-dimensional phaseogram, and folded pulse profile for this pulsar are shown in Figures 26, 27, and 28, respectively.
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Standard image High-resolution imageTable 9. PSR J1741−2054
Parameter | Value |
---|---|
R.A., α (J2000.0)............................... | 17:41:57.23 ±005 |
Decl., δ (J2000.0)............................... | −20:53:57 ±19'' |
Monte Carlo position uncertainty...... | 20'' |
Pulse frequency, ν (s−1)..................... | 2.417209833(1) |
Frequency first derivative, (s−2)..... | −9.923(3) × 10−14 |
Frequency second derivative, (s−3) | |
Epoch of frequency (MJD)................ | 54933 |
TZRMJD............................................ | 54945.3859666189 |
Number of photons (nγ).................... | 3135 |
Number of TOAs.............................. | 23 |
rms timing residual (ms)................... | 2.6 |
Template profile................................ | KDE |
Emin................................................... | 300 MeV |
ROI.................................................... | 08 |
Valid range (MJD)............................ | 54682–55208 |
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The bright X-ray counterpart (Swift J174157.6−205411) seen in Figure 26 was proposed as the likely counterpart to this pulsar in the discovery paper. Subsequently, a LAT timing position presented by Camilo et al. (2009), who also reported the discovery of radio pulsations from this pulsar, added confidence to this proposal, and the model we present here strengthens the case. The position error is still highly elongated in the declination direction because of the very low ecliptic latitude of the source. The X-ray source properties are studied in detail in Camilo et al. (2009). The larger span of data included in this model results in significantly more counts in the light curve, confirming the apparent 3-peak nature as proposed by Camilo et al. (2009), in contrast to the peak multiplicity of 2 assigned by Abdo et al. (2010d).
3.9. PSR J1809−2332
The timing model parameters for this pulsar are displayed in Table 10 and the timing position determination, post-fit residuals, two-dimensional phaseogram, and folded pulse profile for this pulsar are shown in Figures 29, 30, and 31, respectively.
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Standard image High-resolution imageTable 10. PSR J1809−2332
Parameter | Value |
---|---|
R.A., α (J2000.0)............................... | 18:09:50.31 ±006 |
Decl., δ (J2000.0)............................... | −23:33:35 ±51'' |
Monte Carlo position uncertainty...... | 28'' |
Pulse frequency, ν (s−1)..................... | 6.8125205463(3) |
Frequency first derivative, (s−2)..... | −1.59748(1) × 10−12 |
Frequency second derivative, (s−3) | |
Epoch of frequency (MJD)................ | 54935 |
TZRMJD............................................ | 54947.1551911038 |
Number of photons (nγ).................... | 10422 |
Number of TOAs.............................. | 27 |
rms timing residual (ms)................... | 0.4 |
Template profile................................ | KDE |
Emin................................................... | 250 MeV |
ROI.................................................... | 08 |
Valid range (MJD)............................ | 54682–55211 |
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This pulsar was discovered in the direction of the Galactic unidentified γ-ray source GeV J1809−2327. Chandra observations revealed a probable pulsar with PWN that was proposed as the source of the γ-rays (Braje et al. 2002). The point source, CXOU J180950.2−233223, was assumed as the counterpart by Abdo et al. (2009a). As seen in Figure 29, the position error ellipse is very strongly elongated, again because of the very low ecliptic latitude of the source. Nevertheless, the X-ray point source is within the timing error ellipse, strengthening the identification with this point source. If the TOAs are fitted with the position held fixed at the location of the Chandra point source, there are significant correlated residuals, which require a frequency third derivative term in the model to give a reasonable χ2 for the fit.
3.10. PSR J1813−1246
The timing model parameters for this pulsar are displayed in Table 11 and the timing position determination, post-fit residuals, two-dimensional phaseogram, and folded pulse profile for this pulsar are shown in Figures 32, 33, and 34, respectively.
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Standard image High-resolution imageTable 11. PSR J1813−1246
Parameter | Value |
---|---|
R.A., α (J2000.0)............................... | 18:13:23.77 ±001 |
Decl., δ (J2000.0)............................... | −12:45:59.2 ±15 |
Monte Carlo position uncertainty...... | 15 |
Pulse frequency, ν (s−1)..................... | 20.802023359(3) |
Frequency first derivative, (s−2)..... | −7.60023(9) × 10−12 |
Frequency second derivative, (s−3) | |
Glitch epoch....................................... | 55094.1227 |
Glitch Δν (s−1)................................... | 2.4256(9) × 10−5 |
Glitch (s−2)................................... | −4.9(2) × 10−14 |
TZRMJD............................................ | 54954.309848738 |
Number of photons (nγ).................... | 11611 |
Number of TOAs.............................. | 91 |
rms timing residual (ms)................... | 0.7 |
Template profile................................ | KDE |
Emin................................................... | 200 MeV |
ROI.................................................... | 10 |
Valid range........................................ | 54682–55226 |
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This pulsar, which has the highest spin-down luminosity of the first 16 blind search pulsars discovered with the LAT, exhibited a glitch on about 2009 September 20 with magnitude Δν/ν = 1.17 × 10−6. The timing model for the glitch presented here represents the data fairly well, but is not unique. Our model includes an instantaneous and permanent jump in the pulsar frequency and frequency derivative at the glitch. Other solutions are possible with slightly different glitch epochs (within a day or so) and different parameters, or with decaying transient changes in the spin parameters at the glitch. With 6 days between TOA measurements and significant timing noise seen in this pulsar, we are not able to distinguish between these possibilities. It is clear in Figure 33 that there are significant non-white residuals remaining in the data, indicating that the model is not fully accounting for the spin-down behavior of the pulsar. With a longer span of post-glitch data a more definitive model may be possible.
The bright X-ray source, Swift J181323.4−124600, was noted as the counterpart to this pulsar in the discovery paper and our timing confirms the association.
3.11. PSR J1826−1256
The timing model parameters for this pulsar are displayed in Table 12 and the timing position determination, post-fit residuals, two-dimensional phaseogram, and folded pulse profile for this pulsar are shown in Figures 35, 36, and 37, respectively.
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Standard image High-resolution imageTable 12. PSR J1826−1256
Parameter | Value |
---|---|
R.A., α (J2000.0)............................... | 18:26:08.53 ±001 |
Decl., δ (J2000.0)............................... | −12:56:33.0 ±05 |
Monte Carlo position uncertainty...... | 17'' |
Pulse frequency, ν (s−1)..................... | 9.0724588059(3) |
Frequency first derivative, (s−2)..... | −9.99654(1) × 10−12 |
Frequency second derivative, (s−3) | 1.85(5) × 10−22 |
Epoch of frequency (MJD)................ | 54934 |
TZRMJD............................................ | 54946.3413482956 |
Number of photons (nγ).................... | 10860 |
Number of TOAs.............................. | 25 |
rms timing residual (ms)................... | 0.28 |
Template profile................................ | KDE |
Emin................................................... | 200 MeV |
ROI.................................................... | 06 |
Valid range........................................ | 54682–55210 |
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The fast spin and narrow pulse profile allow this pulsar to be localized to about 1''. The timing position is consistent with the X-ray point source AX J1826.1−1257 (R.A. = 18:26:08.2, decl. = −12:56:46), which was discovered in ASCA observations of the EGRET γ-ray source GeV J1825−1310 (Roberts et al. 2001). An improved position of the X-ray point source (R.A. = 18:26:08.54, decl. = −12:56:34.6) was derived from a Chandra image (M. Roberts 2010, private communication), which is 16 from the timing position. The measured for this pulsar is quite large, and the Monte Carlo error estimate yields 17'', which is much larger than the offset seen between the timing position and the X-ray counterpart.
3.12. PSR J1836+5925
The timing model parameters for this pulsar are displayed in Table 13 and the timing position determination, post-fit residuals, two-dimensional phaseogram, and folded pulse profile for this pulsar are shown in Figures 38, 39, and 40, respectively.
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Standard image High-resolution imageTable 13. PSR J1836+5925
Parameter | Value |
---|---|
R.A., α (J2000.0)............................... | 18:36:13.69 ±002 |
Decl., δ (J2000.0)............................... | +59:25:30.0 ±03 |
Monte Carlo position uncertainty...... | <3'' |
Pulse frequency, ν (s−1)..................... | 5.7715509149(4) |
Frequency first derivative, (s−2)..... | −5.007(2) × 10−14 |
Frequency second derivative, (s−3) | −1.3(8) × 10−23 |
Epoch of frequency (MJD)................ | 54935 |
TZRMJD............................................ | 54936.1996219705 |
Number of photons (nγ).................... | 14875 |
Number of TOAs.............................. | 26 |
rms timing residual (ms)................... | 0.85 |
Template profile................................ | KDE |
Emin................................................... | 200 MeV |
ROI.................................................... | 16 |
Valid range........................................ | 54682–55210 |
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A detailed analysis and earlier timing model for this source were published by Abdo et al. (2010a). Our model, which includes an additional 6 months of data is consistent with the earlier results with the addition of a weak detection of a frequency second derivative term. As seen in Figure 38, the timing position is fully consistent with the X-ray source RX J1836.2+5925, with the offset being only 02.
3.13. PSR J1907+0602
The timing model parameters for this pulsar are displayed in Table 14 and the timing position determination, post-fit residuals, two-dimensional phaseogram, and folded pulse profile for this pulsar are shown in Figures 41, 42, and 43, respectively.
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Standard image High-resolution imageTable 14. PSR J1907+0602
Parameter | Value |
---|---|
R.A., α (J2000.0)............................... | 19:07:54.74 ±001 |
Decl., δ (J2000.0)............................... | +06:02:16.9 ±03 |
Monte Carlo position uncertainty...... | 25 |
Pulse frequency, ν (s−1)..................... | 9.3779822336(4) |
Frequency first derivative, (s−2)..... | −7.63559(2) × 10−12 |
Frequency second derivative, (s−3) | 1.88(7) × 10−22 |
Epoch of frequency (MJD)................ | 54935 |
TZRMJD............................................ | 54947.1551911789 |
Number of photons (nγ).................... | 10629 |
Number of TOAs.............................. | 27 |
rms timing residual (ms)................... | 0.47 |
Template profile................................ | KDE |
Emin................................................... | 50 MeV |
ROI.................................................... | 07 |
Valid range........................................ | 54682–55211 |
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A detailed analysis of this pulsar, including an earlier timing solution and the discovery of radio pulsations, was presented by Abdo et al. (2010c). Our timing model is fully consistent within the errors to the one they presented, though we now have almost 5 months of additional data, which significantly reduces the uncertainties in the parameters. The position reported for the Chandra point source is 23 from our best timing position, which is significantly larger than the 06 statistical error in the timing position or the 06 error in the Chandra position. However, the offset is comparable to the expected systematic error from timing noise, based on the Monte Carlo simulations, so this is not strong evidence against the association.
3.14. PSR J1958+2846
The timing model parameters for this pulsar are displayed in Table 15 and the timing position determination, post-fit residuals, two-dimensional phaseogram, and folded pulse profile for this pulsar are shown in Figures 44, 45, and 46, respectively.
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Standard image High-resolution imageTable 15. PSR J1958+2846
Parameter | Value |
---|---|
R.A., α (J2000.0)............................... | 19:58:40.07 ±003 |
Decl., δ (J2000.0)............................... | +28:45:54 ±1'' |
Monte Carlo position uncertainty...... | 35 |
Pulse frequency, ν (s−1)..................... | 3.4436537099(5) |
Frequency first derivative, (s−2)..... | −2.5145(2) × 10−12 |
Frequency second derivative, (s−3) | 3(2) × 10−23 |
Epoch of frequency (MJD)................ | 54800 |
TZRMJD............................................ | 54957.3282188686 |
Number of photons (nγ).................... | 1910 |
Number of TOAs.............................. | 26 |
rms timing residual (ms)................... | 2.1 |
Template profile................................ | 2 Gaussian |
Emin................................................... | 550 MeV |
ROI.................................................... | 06 |
Valid range........................................ | 54682–55210 |
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In the discovery paper (Abdo et al. 2009a), the X-ray source Swift J195846.1+284602 was proposed as the likely counterpart and used for the name of the pulsar. As shown in Figure 44, the timing position no longer supports this identification, being offset from the X-ray source by 80''. There is no significant X-ray counterpart detected at the timing position. There is also no indication for strong timing noise in this pulsar, which might cause a large systematic error in the timing position. Deeper X-ray observations will be required to detect the true X-ray counterpart for this source.
3.15. PSR J2021+4026
The timing model parameters for this pulsar are displayed in Table 16 and the timing position determination, post-fit residuals, two-dimensional phaseogram, and folded pulse profile for this pulsar are shown in Figures 47, 48, and 49, respectively.
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Standard image High-resolution imageTable 16. PSR J2021+4026
Parameter | Value |
---|---|
R.A., α (J2000.0)............................... | 20:21:29.99 ±003 |
Decl., δ (J2000.0)............................... | +40:26:45.1 ±07 |
Monte Carlo position uncertainty...... | 25 |
Pulse frequency, ν (s−1)..................... | 3.7690668480(6) |
Frequency first derivative, (s−2)..... | −7.7681(3) × 10−13 |
Frequency second derivative, (s−3) | 3.9(2) × 10−22 |
Epoch of frequency (MJD)................ | 54936 |
TZRMJD............................................ | 54957.3282196715 |
Number of photons (nγ).................... | 11853 |
Number of TOAs.............................. | 30 |
rms timing residual (ms)................... | 2.0 |
Template profile................................ | KDE |
Emin................................................... | 400 MeV |
ROI.................................................... | 07 |
Valid range........................................ | 54682–55213 |
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PSR J2021+4026 is the long-sought pulsar in the γ Cygni supernova remnant (SNR G78.2+2.1). In the discovery paper (Abdo et al. 2009a), it was pointed out that the X-ray source S21, as identified earlier in Chandra observations (Weisskopf et al. 2006), was the most likely counterpart based on the initial pulsar timing. Our best-fit position is 77 to the west of S21 (see Figure 47), an offset that is somewhat larger than the predicted systematic error of 25 based on our Monte Carlo. However, when is added to the model, the position shifts by 46, so this is a lower bound on the systematic error from the timing noise. As S21 is still the closest X-ray source to the timing position, we conclude that it is indeed the likely counterpart. Longer term timing will improve our localization and reduce the systematic error contribution from timing noise. A similar conclusion was reached by Trepl et al. (2010).
Both the timing position and the X-ray source S21 are well outside the 95% confidence localization ellipse of the LAT sources, as seen in Figure 47. However, this region includes statistical errors only and this source is in the very complicated Cygnus region of the Galaxy. The localization of 0FGL J2021.5+4026 in the LAT Bright Source List (Abdo et al. 2009b) did include S21, but with the improved statistics using 18 months of data, systematic errors due to improperly modeled diffuse emission or unknown point sources can start to dominate the error budget. The association of the LAT source with the pulsar is beyond doubt because of the detection of pulsations.
3.16. PSR J2032+4127
The timing model parameters for this pulsar are displayed in Table 17 and the timing position determination, post-fit residuals, two-dimensional phaseogram, and folded pulse profile for this pulsar are shown in Figures 50, 51, and 52, respectively.
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Standard image High-resolution imageTable 17. PSR J2032+4127
Parameter | Value |
---|---|
R.A., α (J2000.0)............................... | 20:32:13.25 ±001 |
Decl., δ (J2000.0)............................... | +41:27:24.8 ±03 |
Monte Carlo position uncertainty...... | 3'' |
Pulse frequency, ν (s−1)..................... | 6.9809196293(4) |
Frequency first derivative, (s−2)..... | −9.9293(2) × 10−13 |
Frequency second derivative, (s−3) | −1.88(1) × 10−21 |
Epoch of frequency (MJD)................ | 54938 |
TZRMJD............................................ | 54951.224402859 |
Number of photons (nγ).................... | 1633 |
Number of TOAs.............................. | 45 |
rms timing residual (ms)................... | 0.9 |
Template profile................................ | 2 Gaussian |
Emin................................................... | 900 MeV |
ROI.................................................... | 05 |
Valid range........................................ | 54682–55220 |
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This pulsar is studied in detail by Camilo et al. (2009) who reported the discovery of radio pulsations from this source. The model presented here is consistent with theirs, and the positional association with the Chandra point source MT91 213 is confirmed (see Figure 50).
3.17. PSR J2238+5904
The timing model parameters for this pulsar are displayed in Table 18 and the timing position determination, post-fit residuals, two-dimensional phaseogram, and folded pulse profile for this pulsar are shown in Figures 53, 54, and 55, respectively.
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Standard image High-resolution imageTable 18. PSR J2238+5903
Parameter | Value |
---|---|
R.A., α (J2000.0)............................... | 22:38:28.27 ±004 |
Decl., δ (J2000.0)............................... | +59:03:40.8 ±04 |
Monte Carlo position uncertainty...... | 3'' |
Pulse frequency, ν (s−1)..................... | 6.1450029089(4) |
Frequency first derivative, (s−2)..... | −3.6641(2) × 10−12 |
Frequency second derivative, (s−3) | 1.1(2) × 10−22 |
Epoch of frequency (MJD)................ | 54800 |
TZRMJD............................................ | 54947.1551907197 |
Number of photons (nγ).................... | 1697 |
Number of TOAs.............................. | 27 |
rms timing residual (μs)...... | 1171 |
Template profile................................ | 2 Gaussian |
Emin................................................... | 250 MeV |
ROI.................................................... | 05 |
Valid range........................................ | 54682–55211 |
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Even though this pulsar is quite faint, it can be timed with an rms residual of 1 ms because of its very sharp pulse profile. Consequently, we now have a very precise timing position, but there is no significant X-ray counterpart detected in the Swift image (see Figure 53). The pulsar is located 0°.6 from the radio pulsar J2240+5832 detected recently in γ-rays (Theureau et al. 2011). The narrow pulse profile means that this pulsar can be blanked from the LAT data with a loss of only ∼20% of the exposure time.
4. RADIO COUNTERPART SEARCHES
All of these pulsars, except for PSR J1124−5916, were discovered in γ-ray searches and thus are γ-ray-selected pulsars, but targeted radio observations are required to determine if they are also radio quiet, or could have been discovered in radio surveys independently. The population statistics of radio-quiet versus radio-loud γ-ray pulsars have important implications for γ-ray emission models (Gonthier et al. 2007). These observations are also important inputs into the population synthesis modeling of the full Galactic population of rotation-powered pulsars (Faucher-Giguère & Kaspi 2006, for example).
The precise positions derived from the LAT timing of these pulsars allowed us to perform deep follow-up radio observations to search for pulsations from each of the new pulsars. We used the NRAO 100 m Green Bank Telescope (GBT), the Arecibo 305 m radio telescope, and the Parkes 64 m radio telescope for these observations. The instrument parameters used in the sensitivity calculations are shown in Table 19. The log of observations is shown in Table 20 and has columns for the target name, observation code (refer to Table 19), observation date, observation duration (tobs), the R.A. and decl. of the telescope pointing direction, the offset from the true pulsar position, an estimate of the sky temperature in that direction at the observing frequency, and our computed flux density limit (Smin), as described below. The observations taken from the literature have Smin recomputed in a consistent way as well as the originally published flux limits in parentheses. In addition, the fluxes of the detected pulsars are noted with "Det" in parentheses. It is notable that the flux of the detected pulsar J1907+0602 is below our nominal flux limit. This is caused primarily by the fact that the detected pulsar has a much smaller duty cycle than the 10% that we assume.
Table 19. Definition of Radio Observing Codes
Obs Code | Telescope | Gain | Freq | Δf | βa | np | HWHM | Trec |
---|---|---|---|---|---|---|---|---|
(K/Jy) | (MHz) | (MHz) | (arcmin) | (K) | ||||
GBT-350 | GBT | 2.0 | 350 | 100 | 1.05 | 2 | 18.5 | 46 |
GBT-820 | GBT | 2.0 | 820 | 200 | 1.05 | 2 | 7.9 | 29 |
GBT-820BCPM | GBT | 2.0 | 820 | 48 | 1.05 | 2 | 7.9 | 29 |
GBT-S | GBT | 1.9 | 2000 | 700b | 1.05 | 2 | 3.1 | 22 |
AO-327 | Arecibo | 11 | 327 | 50 | 1.12 | 2 | 6.3 | 116 |
AO-430 | Arecibo | 11 | 430 | 40 | 1.12 | 2 | 4.8 | 84 |
AO-Lwide | Arecibo | 10 | 1510 | 300 | 1.12 | 2 | 1.5 | 27 |
AO-ALFA | Arecibo | 10 | 1400 | 100 | 1.12 | 2 | 1.5 | 30 |
Parkes-MB256 | Parkes | 0.735 | 1390 | 256 | 1.25 | 2 | 7.0 | 25 |
Parkes-AFB | Parkes | 0.735 | 1374 | 288 | 1.25 | 2 | 7.0 | 25 |
Parkes-BPSR | Parkes | 0.735 | 1352 | 340 | 1.05 | 2 | 7.0 | 25 |
Notes. aInstrument-dependent sensitivity degradation factor, see Equation (6). bThe instrument records 800 MHz of bandwidth, but to account for a notch filter for radio frequency interference and the lower sensitivity near the band edges, we use an effective bandwidth of 700 MHz for the sensitivity calculations.
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Table 20. Radio Observations of γ-ray-selected Pulsars
Target | Obs Code | Date | tobs | R.A.a | Decl.a | Offset | Tsky | Smin |
---|---|---|---|---|---|---|---|---|
PSR | (s) | (J2000) | (J2000) | (') | (K) | (μJy) | ||
J0007+7303 | GBT-820BCPM | 2003 Oct 11 | 70560 | 00:07:01.6 | +73:03:08 | 0.0 | 7.7 | 12 (22b) |
GBT-S | 2009 Aug 28 | 10000 | 00:07:01.6 | +73:03:08 | 0.0 | 0.6 | 6 | |
J0357+3205 | AO-327 | 2009 Jan 29 | 7200 | 03:57:33.1 | +32:05:03 | 4.1 | 45.7 | 43 |
GBT-350 | 2010 Mar 4 | 1800 | 03:57:52.7 | +32:05:19 | 0.0 | 45.7 | 134 | |
J0633+0632 | AO-327 | 2009 Jun 27 | 3000 | 06:33:32.9 | +06:34:41 | 3.6 | 78.4 | 75 |
AO-430 | 2009 Jan 30 | 4200 | 06:33:32.8 | +06:34:40 | 3.6 | 38.5 | 52 | |
AO-Lwide | 2009 Jul 3 | 4200 | 06:33:44.0 | +06:32:25 | 0.1 | 1.8 | 3 | |
J1418−6058 | Parkes-MB256 | 2001 Feb 11 | 16900 | 14:18:41.5 | −60:58:11 | 0.6 | 7.8 | 32 (80c) |
Parkes-AFB | 2001 Feb 13 | 16900 | 14:18:41.5 | −60:58:11 | 0.6 | 7.8 | 30 (80c) | |
J1459−6053 | Parkes-AFB | 2010 Feb 14 | 10200 | 14:59:30.0 | −60:53:21 | 0.0 | 6.0 | 38 |
J1732−3131 | GBT-S | 2009 Aug 24 | 7200 | 17:32:33.5 | −31:31:21 | 0.0 | 4.8 | 8 |
Parkes-AFB | 2009 Apr 14 | 16200 | 17:32:40.4 | −31:36:35 | 5.4 | 15.5 | 59 | |
J1741−2054 | Parkes-AFB | 2000 Nov 24 | 2100 | 17:41:51.3 | −21:01:10 | 7.2 | 4.9 | 156 (Det 160d) |
J1809−2332 | Parkes-BPSR | 2009 Apr 15 | 16200 | 18:09:50.2 | −23:32:23 | 0.0 | 10.6 | 26 |
J1813−1246 | GBT-820 | 2009 Aug 22 | 5101 | 18:13:23.7 | −12:46:15 | 0.0 | 38.9 | 42 |
GBT-S | 2009 Jan 2 | 3000 | 18:13:35.9 | −12:48:05 | 3.6 | 3.0 | 28 | |
J1826−1256 | Parkes-MB256 | 2001 Feb 12 | 13234 | 18:26:04.9 | −12:59:48 | 3.3 | 14.0 | 49 (90c) |
Parkes-AFB | 2001 Feb 15 | 14832 | 18:26:04.9 | −12:59:48 | 3.3 | 14.0 | 44 (90c) | |
GBT-S | 2010 Dec 22 | 10116 | 18:26:08.3 | −12:56:34 | 0.0 | 5.5 | 7 | |
GBT-S | 2011 Jan 15 | 9623 | 18:26:08.3 | −12:56:34 | 0.0 | 5.5 | 7 | |
J1836+5925 | GBT-820BCPM | 2002 Dec 6 | 86400 | 18:36:13.7 | +59:25:30 | 0.0 | 5.5 | 10 (17f) |
GBT-350 | 2009 Oct 24 | 7200 | 18:36:13.6 | +59:25:29 | 0.0 | 50.5 | 70 | |
J1907+0602 | AO-ALFA | 2008 Dec 4 | 1800 | 19:07:49.5 | +06:01:52 | 1.4 | 8.8 | 22 |
AO-Lwide | 2009 Aug 21 | 3300 | 19:07:54.7 | +06:02:16 | 0.0 | 8.8 | 5 (Det 3.4e) | |
J1958+2846 | AO-Lwide | 2009 Oct 13 | 2400 | 19:58:40.3 | +28:45:54 | 0.0 | 3.2 | 5 |
J2021+4026 | GBT-S | 2009 Jan 4 | 3600 | 20:21:35.6 | +40:26:21 | 0.9 | 2.5 | 11 |
GBT-820BCPM | 2003 Dec 27 | 14400 | 20:21:18.1 | +40:24:35 | 3.3 | 31.9 | 51 (40g) | |
GBT-820BCPM | 2003 Dec 27 | 14400 | 20:21:21.5 | +40:23:22 | 3.9 | 31.9 | 53 (40g) | |
J2032+4127 | GBT-S | 2009 Jan 5 | 3600 | 20:32:13.9 | +41:22:34 | 4.8 | 2.6 | 50 (Det 120d) |
J2238+5903 | GBT-820 | 2009 Aug 22 | 4447 | 22:38:27.9 | +59:03:42 | 0.0 | 12.1 | 27 |
GBT-S | 2009 Aug 24 | 7200 | 22:38:27.9 | +59:03:42 | 0.0 | 0.9 | 7 |
Notes. aTelescope pointing direction (not necessarily source position). bHalpern et al. (2004). cRoberts et al. (2002). dCamilo et al. (2009). eAbdo et al. (2010c). fHalpern et al. (2007). gBecker et al. (2004).
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All observations were taken in search mode (where all data are recorded without folding at a nominal pulse period) and the data were reduced using standard pulsar analysis software, such as PRESTO (Ransom et al. 2002). In each case, we searched a range of dispersion measure (DM) trials out to a maximum of at least two times the maximum DM value predicted by the NE2001 model (Cordes & Lazio 2002) for that direction. For 13 of the 16 γ-ray-selected pulsars, no radio pulsations were detected and we report upper limits in Table 20. For three of the pulsars, pulsations were detected. Pulsations from PSRs J2032+4127 and J1741−2054 were reported by Camilo et al. (2009) and very faint radio pulsations from PSR J1907+06 were reported by Abdo et al. (2010c). Here, we compile the upper limits from the literature as well as from our new observations.
We calculate upper limits in a consistent manner for all of our observations as well as those from the literature. To compute the minimum pulsar flux that would have been detected in these observations, we use the modified radiometer equation (e.g., Lorimer & Kramer 2005)
where β is the instrument-dependent factor due to digitization and other effects; (S/N)min = 5 is the threshold signal to noise for a pulsar to have been confidently detected; Tsys = Trec + Tsky, G is the telescope gain, np is the number of polarizations used (two in all cases); tobs is the integration time; Δf is the observation bandwidth; P is the pulsar period; W is the pulse width (for uniformity, we assume W = 0.1P).
Because some of the observations were taken before the precise positions were known, some of the pointing directions are offset from the true direction to the pulsar. We use a simple approximation of a telescope beam response to adjust the flux sensitivity in these cases. This factor is
where θ is the offset from the beam center and HWHM is the beam half-width at half maximum. A computed flux limit of S at the beam center is thus corrected to S/f for a target offset from the pointing direction. The resultant flux limits are compiled in Table 20.
5. DISCUSSION
We have presented precise phase-coherent timing models using 18 months of Fermi LAT data for 17 radio-quiet or radio-faint γ-ray pulsars. This provides precise spin parameters for all of the pulsars and position determinations of order arcsecond accuracy.
In most cases, the new position determinations served to confirm previously proposed X-ray counterparts. However, in one case (PSR J1958+2846) the previously proposed counterpart is strongly discrepant with the new position determination. In one other case (PSR J1459−6053), an X-ray source is apparent in a Swift image at the pulsar position. Lastly in three cases (PSRs J0633+0632, J1418−6058, and J2021+4026), the situation is a bit more complicated, because the observed offsets between the timing position and the X-ray counterpart position may be accounted for by the effects of timing noise on the model fits. These were covered on a case-by-case basis.
In three of the 17 pulsars (PSRs J0007+7303, J1124−5916, and J1813−1246), we have detected a glitch. This is not unexpected for a population of mostly young pulsars with characteristic ages of 104–105 years. These three glitches observed in the 17 radio-quiet and radio-faint pulsars are typical of the eight glitches observed in 18 months of the Fermi γ-ray pulsars. All pulsars observed to glitch with the LAT pulsars have spin-down energies erg s−1. In fact, most (6/8) of the glitching pulsars are above erg s−1. All of the LAT glitching pulsars have characteristic ages between 1 and 100 kyr. A more detailed analysis of timing across glitches in γ-ray pulsars is in preparation (M. Dormody et al. 2011, in preparation).
With 18 months of timing data, we also have measurements of for most of the pulsars. The measured s are dominated by timing noise rather than the secular spin-down behavior of the pulsars. Previously, Arzoumanian et al. (1994) have defined a pulsar stability parameter
where t is the observation duration and they define Δ8= Δ(108 s). They find a correlation of this stability parameter with pulsar period derivative (), with the form
This relationship has been refit using a larger sample of pulsars by Hobbs et al. (2010) who obtain the following parameters:
We do not have 108 s of data, so we compute our Δ parameter at t = 107.6 s. As seen in Figure 56, we see a similar correlation with period derivative, albeit with a large amount of scatter. The two pulsars that stand out farthest from the relation as having very large for their period derivatives are PSRs J2021+4026 and J2032+4127.
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Standard image High-resolution imageThese pulsars will continue to be timed regularly throughout the LAT mission. Using the fake TOA simulation capability of Tempo2, we have evaluated the possibility of measuring further astrometric parameters for these pulsars. We find that in a 10 year mission, we are unlikely to be able to detect parallax or proper motion for any of these sources. The most nearby pulsar is ∼400 pc distant, and a parallax signal at that distance is 3 μs, for a pulsar at an ecliptic latitude of 0. Unfortunately, the nearby pulsars are also those with the longest periods and the largest rms timing residuals. We evaluated the possibility of detecting proper motion for a large transverse velocity of 1000 km s−1, and again found that none of the pulsars look like promising candidates for proper motion measurements within the Fermi mission.
We also made deep searches for radio pulsations from the γ-ray-selected pulsars. We compare these flux limits with the measured fluxes of the population of pulsars in the ATNF pulsar catalog (Manchester et al. 2005) in Figure 57. To make the fluxes comparable, we have scaled them all to the equivalent 1400 MHz flux density using a typical pulsar spectral index of 1.6. The upper limits we have obtained are comparable to some of the faintest known radio pulsars, but the discovery of 3.5 μJy pulsations from PSR J1907+0602 (Abdo et al. 2010c) raises the possibility that some of these could yet be detected in even deeper radio searches.
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Standard image High-resolution imageThe radio upper limits for eight new γ-ray-selected pulsar discovered with Fermi are presented in Saz Parkinson et al. (2010). When combined with the results presented here, we now have deep upper limits on all known γ-ray-selected pulsars. A discussion of the radio upper limits on PSR J1836+5925 was also presented by Abdo et al. (2010a).
The authors gratefully thank Masaharu Hirayama and the rest of the developers of the LAT Science Tools used for pulsar timing. This work makes use of APLpy by Eli Bressert and Thomas Robitaille.
The Fermi LAT Collaboration acknowledges generous ongoing support from a number of agencies and institutes that have supported both the development and the operation of the LAT as well as scientific data analysis. These include the National Aeronautics and Space Administration and the Department of Energy in the United States, the Commissariat à l'Energie Atomique and the Centre National de la Recherche Scientifique/Institut National de Physique Nucléaire et de Physique des Particules in France, the Agenzia Spaziale Italiana and the Istituto Nazionale di Fisica Nucleare in Italy, the Ministry of Education, Culture, Sports, Science, and Technology (MEXT), High Energy Accelerator Research Organization (KEK) and Japan Aerospace Exploration Agency (JAXA) in Japan, and the K. A. Wallenberg Foundation, the Swedish Research Council and the Swedish National Space Board in Sweden.
Additional support for science analysis during the operation phase is gratefully acknowledged from the Istituto Nazionale di Astrofisica in Italy and the Centre National d'Études Spatiales in France.
The Arecibo Observatory is part of the National Astronomy and Ionosphere Center, which is operated by Cornell University under a cooperative agreement with the National Science Foundation. The National Radio Astronomy Observatory is a facility of the National Science Foundation operated under cooperative agreement by Associated Universities, Inc. The Parkes Observatory is part of the Australia Telescope which is funded by the Commonwealth of Australia for operation as a National Facility managed by CSIRO.
Facilities: Fermi (LAT) - , GBT - Green Bank Telescope, Arecibo - Arecibo observatory, Parkes - Parkes Radio Telescope
APPENDIX: CALCULATION OF POSITION OFFSETS
The light travel time delay τ (i.e., Roemer delay) across the solar system from a pulsar at ecliptic coordinates λ (longitude) and β (latitude) is
where θ(t) is the orbital phase of the Earth with respect to the vernal equinox. This is an approximate time delay since we are assuming that Earth's orbit is circular.
If a pulsar is being timed with incorrect ecliptic coordinates such that there exist position offsets Δλ and Δβ, there will be a differential time delay Δτ present in the timing residuals:
If the positional offsets are small, such that we can use sin x ∼ x, cos x ∼ 1, and Δβ Δλ ∼ 0, we can use trigonometric identities to get
Comparing the trigonometric identity Asin(θ(t) + ϕ) = Acos ϕsin θ(t) + Asin ϕcos θ(t) to the equation for Δτ, we see that
and therefore
The sinusoid amplitude A and phase ϕ come from fits to TOA residuals. One way of doing this is by adding a binary model to a Tempo2 fit with parameters A1 (A = A1) and T0 (with PB = 365.2424, the solar year; OM = 0; and E = 0 all held fixed in the fit). Then,
where fmod is the floating point remainder function, 51623.31250 is the MJD of the vernal equinox in 2000, and α is a correction for Earth's non-circular orbit that can be measured for a particular point in the sky by fitting for T0 at several values of simulated position offset in the ecliptic longitude direction only. In that case, Δβ = 0, and ϕ = 0, allowing us to solve for α.
Footnotes
- 16
The accuracy of a pulse TOA measurement is determined by the photon statistics and the sharpness of the features in the pulse profile. It is always considerably larger than the ∼1 μs accuracy on individual photon event times recorded by the LAT.
- 17
Available from http://www.cv.nrao.edu/~sransom/presto/
- 18
See OGIP Memo OGIP/93-003 http://heasarc.gsfc.nasa.gov/docs/heasarc/ofwg/docs/rates/ogip_93_003/ogip_93_003.html
- 19
- 20
- 21
- 22
- 23
- 24
Note that the default time system for Tempo2 is TCB, but we override this default and use TDB as the time units for our models.