Abstract

We present a long-term programme for timing the eclipses of white dwarfs in close binaries to measure apparent and/or real variations in their orbital periods. Our programme includes 67 close binaries, both detached and semi-detached and with M-dwarfs, K-dwarfs, brown dwarfs or white dwarfs secondaries. In total, we have observed more than 650 white dwarf eclipses. We use this sample to search for orbital period variations and aim to identify the underlying cause of these variations. We find that the probability of observing orbital period variations increases significantly with the observational baseline. In particular, all binaries with baselines exceeding 10 yr, with secondaries of spectral type K2 – M5.5, show variations in the eclipse arrival times that in most cases amount to several minutes. In addition, among those with baselines shorter than 10 yr, binaries with late spectral type (>M6), brown dwarf or white dwarf secondaries appear to show no orbital period variations. This is in agreement with the so-called Applegate mechanism, which proposes that magnetic cycles in the secondary stars can drive variability in the binary orbits. We also present new eclipse times of NN Ser, which are still compatible with the previously published circumbinary planetary system model, although only with the addition of a quadratic term to the ephemeris. Finally, we conclude that we are limited by the relatively short observational baseline for many of the binaries in the eclipse timing programme, and therefore cannot yet draw robust conclusions about the cause of orbital period variations in evolved, white dwarf binaries.

1 INTRODUCTION

The evolution of close, evolved binaries is determined by the binary's angular momentum and the stellar masses, and by how these parameters change with time. The stellar masses can change through mass-transfer between the stars or by mass-loss through a stellar wind, although the latter is usually very small compared to the star's mass. Considering white dwarf + low-mass main-sequence stars, at short orbital periods (≲2 h) the main change in the binary's angular momentum occurs through the emission of gravitational wave radiation (Paczyński 1967; Faulkner 1971; Landau & Lifshitz 1975). At longer orbital periods (≳3 h) the loss of angular momentum is driven by a mechanism called magnetic braking instead (Huang 1966; Mestel 1968; Verbunt & Zwaan 1981). This occurs because the main-sequence star emits a stellar wind that flows away from the star and is forced by the magnetic field to corotate with the star out to the Alvén radius. There, the matter decouples from the magnetic field and takes angular momentum with it, thereby decreasing the spin angular momentum of the star. This phenomenon has been measured indirectly by its effect on the rotation rate of single stars (Schatzman 1962; Kraft 1967). In close binaries, tides force the low-mass main-sequence star to rotate synchronously with the orbital motion, so that the star's spin period equals the binary's orbital period. Therefore the angular momentum that is carried away by the stellar wind is effectively removed from the binary's orbital angular momentum, causing the binary's orbit to decrease over time. Magnetic braking is especially important in cataclysmic variable stars and their progenitors. These binaries have separations that are small enough for magnetic braking to drive the binaries closer together and thereby drive evolution of the ongoing mass-transfer and the binary itself (Rappaport, Verbunt & Joss 1983; Knigge, Baraffe & Patterson 2011).

In addition to these secular processes, other processes may be at work that make it appear as if the binary is losing angular momentum, while this is in fact not the case. The two most popular theories include one now often referred to as Applegate's mechanism (Applegate & Patterson 1987; Applegate 1992, see also Lanza, Rodono & Rosner 1998), and the presence of circumbinary planet-like or brown dwarf-like bodies of mass (see for example Beavers, Lui & Herczeg 1986; Beuermann, Dreizler & Hessman 2013a; Marsh et al. 2014).

Applegate (1992) proposed that a main-sequence star in a close binary may experience magnetic cycles during which angular momentum is redistributed between the core and the outer layers of the star by the turbulent motion in the convective region and the torques produced by the differential rotation. This also causes the star to deform and become oblate, therefore changing its gravitational quadrupole moment. In turn, this couples to the binary's orbit, which subsequently changes its orbital period on the same quasi-periodic time-scales as the magnetic activity cycles that drive this mechanism. Note that no angular momentum is lost from the binary during this process, it is simply redistributed within the main-sequence star. None the less, this requires energy and since the orbital period variations are driven by the main-sequence star in the binary the maximum amplitude of the variations is determined by the maximum amount of energy available in this star. Generally, in close white dwarf binaries, the main-sequence companions are M-dwarfs. The luminosities of these stars can be considered as their maximum energy budget available to drive the magnetic cycles, their physical distortions, and therefore the binary's orbital period variations. For certain white dwarf + M-dwarf binaries in which large variations of this kind have been observed, the energy budget is seemingly insufficient (Brinkworth et al. 2006; Bours et al. 2014b). However, note that a modified version of Applegate's mechanism predicts that orbital period variations can be induced while only requiring a fraction of the energy of the original mechanism of Applegate (1992), see Lanza et al. (1998) and Lanza (2006).

Lastly, an unseen companion in a wide, circumbinary orbit around a white dwarf + M-dwarf binary may make it appear as if the binary itself is losing angular momentum and changing its orbital period. We will refer to such companions as circumbinary planets or circumbinary brown dwarfs hereafter. The presence of this extra mass causes the binary to periodically change its distance to a given observer, thereby causing eclipses to be observed slightly advanced or delayed with respect to the expected eclipse time in a sinusoidal manner (Irwin 1959). In the last few years the first circumbinary planets have been discovered around double main-sequence star binaries through transits in the light curves (Doyle et al. 2011; Orosz et al. 2012a,b; Welsh et al. 2012), leaving no doubt about the existence of planets in so-called P-type orbits (Dvorak 1986). However, in close white dwarf binaries the primary star has evolved off the main sequence, and the binary has likely gone through a common-envelope phase. This may have destroyed any planetary system present (Veras & Tout 2012; Mustill et al. 2013), leaving it far from certain that planetary systems exist around white dwarf + main-sequence star binaries. On the other hand, circumbinary planets may be able to form again in a second phase of planet formation, triggered in the ejecta of the binary's common-envelope phase (Bear & Soker 2014; Schleicher & Dreizler 2014), and so it is not completely unlikely that some indeed exist. However, the first direct search for a circumbinary brown dwarf, whose presence was suggested by substantial eclipse timing variations, has resulted in a non-detection (Hardy et al. 2015).

All four processes previously mentioned may be measured in observational data of a binary if it is possible to measure a regular, unrelated phenomenon in that binary. This could be the eclipse of a white dwarf, hot subdwarf star or neutron star (Wood & Forbes 1963; Parsons et al. 2010b; Kilkenny 2011; Hermes et al. 2012), the very regular pulses that a magnetic neutron star emits (Wolszczan & Frail 1992; Wolszczan 1994), or pulsations of stars themselves (Silvotti et al. 2007; Mullally et al. 2008; Hermes et al. 2013). Such a precise clock allows the observer to measure changes in the orbital or spin periods in the system. Generally, observational data would also allow one to distinguish between certain mechanisms through the time-scale on which the phenomena occur. Both magnetic braking and gravitational wave emission are secular processes, evolving slowly and steadily and typically taking 108–109 yr. Orbital period changes caused by an Applegate-like mechanism or apparent variations caused by circumbinary objects on the other hand typically take place on 10–100 yr time-scales.

To complement the ongoing discussion about observed apparent orbital period variations in close binaries, we have set up an eclipse timing programme that focuses on measuring eclipse times of a large number of such binaries. In this paper we focus on close binaries in which the primary star is a white dwarf. This offers the advantages that the eclipse ingress and egress features are short and sharp. In addition, the white dwarfs are often substantially hotter than their low-mass companions, leading to deep eclipses. Both advantages facilitate precise and accurate timing of the eclipses. Through regular eclipse observations over a baseline of years to decades, we hope to create a picture that shows which of these evolved binaries display orbital period variations and how prominently these are present in certain categories of binaries. Large surveys such as the Sloan Digital Sky Survey (SDSS; York et al. 2000) and the Catalina Sky Survey (CSS; Drake et al. 2009) have increased the number of known eclipsing white dwarf binaries to several hundred in recent years (Ritter & Kolb 2003; Parsons et al. 2013a, 2015). With this increase in sample size, it is now possible to perform long-term monitoring of an entire population of evolved binaries. Previous studies using smaller samples of binaries have already shown that almost all binaries that have been monitored for more than ∼5 yr show apparent orbital period variations (Zorotovic & Schreiber 2013).

2 OBSERVATIONS

2.1 Time-scales used for timing periodic phenomena

Due to the Earth's motion around the Sun and the finite speed of light, the exact time that a certain event is observed depends upon the changing position of the observer, as well as the particular clock used to express the time. To be able to compare observations from different epochs, the observed time can be converted to a number of time stamps (Eastman, Siverd & Gaudi 2010). To obtain the highest precision in this paper, we use Barycentric Modified Julian Dates (BMJD), which are corrected for the motion of the Sun around the barycentre of the Solar system. Together with Barycentric Dynamical Time, which is a relativistic time standard in the reference frame of the Solar system barycentre, all times in this paper are quoted in BMJD(TDB). For data taken as part of the eclipse timing programme described here, we also include the MJD(UTC) eclipse times, which is the time-scale used to time stamp the observations. Times taken from the literature are, when not already in BMJD(TDB), converted to this time-scale (Eastman et al. 2010).

2.2 Targets

Our eclipse timing programme includes 67 eclipsing binaries. Of these, 58 are detached binaries, with 54 white dwarf + main-sequence star binaries, 1 white dwarf + brown dwarf binary and 3 double white dwarf binaries. Basic information about these targets is listed in Table 1.

Table 1.

List of the 58 detached eclipsing white dwarf binaries included in the monitoring programme described in this paper, sorted by RA. The SIMBAD identifier, frequently used alternative name and spectral type of the companion star to the white dwarf are given where available. The numbers in the parentheses following the zero-point and orbital period of the best linear ephemeris indicate the uncertainty in the last digits. The column marked with a # shows the number of new eclipse times presented here and the last column lists references for the discovery, a detailed study of the binary and/or the companion's spectral type.

IDWhite dwarf binarySpT2Best linear ephemeris#Ref
SIMBAD identifierAlternativeT0 (BMJDTDB)Porb (d)
1SDSS J002412.87+174531.4M356482.1968(1)0.200 038 47(2)41,2
2SDSS J010623.01-001456.2M655059.056123(6)0.085 015 3291(5)283,2
3SDSS J011009.09+132616.3M453993.94904(3)0.332 686 773(4)114,5
4SDSS J013851.49-001621.6M555867.00740(1)0.072 764 9720(9)26,5
5PTF1 J015256.60+384413.4PTFEB28.235M356195.16844(2)0.386 120 34(2)67
6SDSS J025953.32-004400.2M351819.4150(10)0.144 1834(1)18,9
7SDSS J030308.35+005444.1M4.553991.11730(1)0.134 437 6678(8)114,10,5
8SDSS J030856.55-005450.6M356210.15322(4)0.185 959 516(9)59,2
9WD 0312+019-56195.206351(1)0.305 296 762(2)1211,12
10NLTT 11748WD55772.041389(3)0.235 060 481(1)1213,14
11V471 TauK254027.9530(1)0.521 183 431(8)115
12RR CaeM451522.54847(4)0.303 703 678(4)2216
13SDSS J082145.27+455923.3M255989.03882(1)0.509 092 021(6)517,5
14SDSS J083845.86+191416.5CSS 40190M553469.22016(3)0.130 112 311(1)1418,5
15SDSS J085746.18+034255.3CSS 03170M855552.7127639(9)0.065 096 5384(1)1619
16SDSS J090812.03+060421.2CSS 080502M453466.33450(4)0.149 438 038(2)2618,5
17SDSS J092741.73+332959.1M356074.90612(3)2.308 225 61(9)617,5
18SDSS J093508.00+270049.256602.8398(2)0.201 0331(1)520
19SDSS J093947.95+325807.3CSS 38094M455587.308823(6)0.330 989 665(2)618,5
20SDSS J094634.49+203003.3M556032.94566(3)0.252 861 432(9)817,5
21SDSS J095719.24+234240.7CSS 41631M255548.35703(5)0.150 870 797(7)1318,5
22SDSS J095737.59+300136.5M356014.975114(32)1.926 1248(12)017,5
23SDSS J100559.10+224932.2CSS 41177WD55936.3446717(5)0.116 015 4373(3)1318,21,22
24SDSS J101356.32+272410.6M453831.12550(2)0.129 040 3812(8)71,5
25SDSS J102102.25+174439.9M456664.88435(1)0.140 358 755(5)117,23,5
26SDSS J102857.78+093129.8M2.556001.0950(4)0.235 025 08(10)1317,5
27SDSS J105756.93+130703.5M556010.0627(2)0.125 162 13(4)717,5
28SDSS J112308.39-115559.2M3.556364.2935(5)0.769 1358(14)11,2
29SDSS J121010.13+334722.9M554923.03353(5)0.124 489 790(4)1824,5
30SDSS J121258.25-012310.1M454104.20945(5)0.335 870 877(7)1125,26,5
31SDSS J122339.61-005631.2M655707.016990(7)0.090 078 0296(6)1027,17,5
32SDSS J124432.25+101710.8CSS 25601M453466.36035(8)0.227 856 372(5)618,5
33SDSS J130733.49+215636.7M456007.22121(6)0.216 322 35(1)917,5
34SDSS J132518.18+233808.0CSS 2161655653.45418(1)0.194 958 991(3)318
35DE CVnM352784.05429(6)0.364 139 237(9)1428
36SDSS J132925.21+123025.4M655271.054831(4)0.080 966 2425(5)3318
37WD 1333+005M4.555611.476690(9)0.121 958 759(1)2329,18,30
38SDSS J134841.61+183410.5CSS 21357M356000.161920(8)0.248 431 783(3)918
39QS VirEC 13471-1258M348689.1420(2)0.150 757 475(4)2431
40SDSS J141057.73-020236.7CSS 07125M353464.4888(1)0.363 497 08(1)718,5
41SDSS J141126.20+200911.1CSS 21055T055991.388719(2)0.084 532 7499(2)932,33
42SDSS J141134.70+102839.7M356031.1727(1)0.167 509 71(4)217,5
43SDSS J141150.74+211750.0M355659.2477(1)0.321 636 60(4)41
44GK VirM4.542543.33771(4)0.344 330 839(1)1234,26
45SDSS J142355.06+240924.3CSS 080408M555648.206115(5)0.382 004 296(2)718,5
46SDSS J142427.69+112457.954264.28247(2)0.239 293 557(2)51
47SDSS J143547.87+373338.5M554148.2054(2)0.125 630 956(9)2235,4,5
48SDSS J145634.29+161137.7CSS 09797M651665.7893(30)0.229 1202(2)218,5
49SDSS J154057.27+370543.4M454913.4139(3)0.261 435 56(5)31
50SDSS J154846.00+405728.7M654592.07303(2)0.185 515 282(2)44
51NN Ser-M447344.02510(6)0.130 080 129(1)1036,37
52SDSS J164235.97-063439.756770.19243(3)0.286 888 31(49)11
53GALEX J171708.5+675712WD55641.43159(7)0.246 135 44(3)138,39
54RX J2130.6+4710M3.552785.1810(5)0.521 036 58(6)1540
55SDSS J220504.50-062248.6M254453.07812(7)0.132 386 908(5)91
56SDSS J220823.66-011534.2CSS 09704M456175.879533(3)0.156 505 699(2)918
57SDSS J223530.61+142855.0M455469.06504(9)0.144 456 859(9)1017
58SDSS J230627.54-055533.255509.1090(7)0.200 083 19(6)11
IDWhite dwarf binarySpT2Best linear ephemeris#Ref
SIMBAD identifierAlternativeT0 (BMJDTDB)Porb (d)
1SDSS J002412.87+174531.4M356482.1968(1)0.200 038 47(2)41,2
2SDSS J010623.01-001456.2M655059.056123(6)0.085 015 3291(5)283,2
3SDSS J011009.09+132616.3M453993.94904(3)0.332 686 773(4)114,5
4SDSS J013851.49-001621.6M555867.00740(1)0.072 764 9720(9)26,5
5PTF1 J015256.60+384413.4PTFEB28.235M356195.16844(2)0.386 120 34(2)67
6SDSS J025953.32-004400.2M351819.4150(10)0.144 1834(1)18,9
7SDSS J030308.35+005444.1M4.553991.11730(1)0.134 437 6678(8)114,10,5
8SDSS J030856.55-005450.6M356210.15322(4)0.185 959 516(9)59,2
9WD 0312+019-56195.206351(1)0.305 296 762(2)1211,12
10NLTT 11748WD55772.041389(3)0.235 060 481(1)1213,14
11V471 TauK254027.9530(1)0.521 183 431(8)115
12RR CaeM451522.54847(4)0.303 703 678(4)2216
13SDSS J082145.27+455923.3M255989.03882(1)0.509 092 021(6)517,5
14SDSS J083845.86+191416.5CSS 40190M553469.22016(3)0.130 112 311(1)1418,5
15SDSS J085746.18+034255.3CSS 03170M855552.7127639(9)0.065 096 5384(1)1619
16SDSS J090812.03+060421.2CSS 080502M453466.33450(4)0.149 438 038(2)2618,5
17SDSS J092741.73+332959.1M356074.90612(3)2.308 225 61(9)617,5
18SDSS J093508.00+270049.256602.8398(2)0.201 0331(1)520
19SDSS J093947.95+325807.3CSS 38094M455587.308823(6)0.330 989 665(2)618,5
20SDSS J094634.49+203003.3M556032.94566(3)0.252 861 432(9)817,5
21SDSS J095719.24+234240.7CSS 41631M255548.35703(5)0.150 870 797(7)1318,5
22SDSS J095737.59+300136.5M356014.975114(32)1.926 1248(12)017,5
23SDSS J100559.10+224932.2CSS 41177WD55936.3446717(5)0.116 015 4373(3)1318,21,22
24SDSS J101356.32+272410.6M453831.12550(2)0.129 040 3812(8)71,5
25SDSS J102102.25+174439.9M456664.88435(1)0.140 358 755(5)117,23,5
26SDSS J102857.78+093129.8M2.556001.0950(4)0.235 025 08(10)1317,5
27SDSS J105756.93+130703.5M556010.0627(2)0.125 162 13(4)717,5
28SDSS J112308.39-115559.2M3.556364.2935(5)0.769 1358(14)11,2
29SDSS J121010.13+334722.9M554923.03353(5)0.124 489 790(4)1824,5
30SDSS J121258.25-012310.1M454104.20945(5)0.335 870 877(7)1125,26,5
31SDSS J122339.61-005631.2M655707.016990(7)0.090 078 0296(6)1027,17,5
32SDSS J124432.25+101710.8CSS 25601M453466.36035(8)0.227 856 372(5)618,5
33SDSS J130733.49+215636.7M456007.22121(6)0.216 322 35(1)917,5
34SDSS J132518.18+233808.0CSS 2161655653.45418(1)0.194 958 991(3)318
35DE CVnM352784.05429(6)0.364 139 237(9)1428
36SDSS J132925.21+123025.4M655271.054831(4)0.080 966 2425(5)3318
37WD 1333+005M4.555611.476690(9)0.121 958 759(1)2329,18,30
38SDSS J134841.61+183410.5CSS 21357M356000.161920(8)0.248 431 783(3)918
39QS VirEC 13471-1258M348689.1420(2)0.150 757 475(4)2431
40SDSS J141057.73-020236.7CSS 07125M353464.4888(1)0.363 497 08(1)718,5
41SDSS J141126.20+200911.1CSS 21055T055991.388719(2)0.084 532 7499(2)932,33
42SDSS J141134.70+102839.7M356031.1727(1)0.167 509 71(4)217,5
43SDSS J141150.74+211750.0M355659.2477(1)0.321 636 60(4)41
44GK VirM4.542543.33771(4)0.344 330 839(1)1234,26
45SDSS J142355.06+240924.3CSS 080408M555648.206115(5)0.382 004 296(2)718,5
46SDSS J142427.69+112457.954264.28247(2)0.239 293 557(2)51
47SDSS J143547.87+373338.5M554148.2054(2)0.125 630 956(9)2235,4,5
48SDSS J145634.29+161137.7CSS 09797M651665.7893(30)0.229 1202(2)218,5
49SDSS J154057.27+370543.4M454913.4139(3)0.261 435 56(5)31
50SDSS J154846.00+405728.7M654592.07303(2)0.185 515 282(2)44
51NN Ser-M447344.02510(6)0.130 080 129(1)1036,37
52SDSS J164235.97-063439.756770.19243(3)0.286 888 31(49)11
53GALEX J171708.5+675712WD55641.43159(7)0.246 135 44(3)138,39
54RX J2130.6+4710M3.552785.1810(5)0.521 036 58(6)1540
55SDSS J220504.50-062248.6M254453.07812(7)0.132 386 908(5)91
56SDSS J220823.66-011534.2CSS 09704M456175.879533(3)0.156 505 699(2)918
57SDSS J223530.61+142855.0M455469.06504(9)0.144 456 859(9)1017
58SDSS J230627.54-055533.255509.1090(7)0.200 083 19(6)11

References: (1) Parsons et al. (2015) – (2) Parsons et al. (in preparation) – (3) Kleinman et al. (2004) – (4) Pyrzas et al. (2009) – (5) Rebassa-Mansergas et al. (2012) – (6) Parsons et al. (2012c) – (7) Law et al. (2012) – (8) Bhatti et al. (2010) – (9) Becker et al. (2011) – (10) Parsons et al. (2013b) – (11) Hoard et al. (2007) – (12) Drake et al. (2014a) – (13) Steinfadt et al. (2010) – (14) Kaplan et al. (2014) – (15) O'Brien, Bond & Sion (2001) – (16) Maxted et al. (2007) – (17) Parsons et al. (2013a) – (18) Drake et al. (2010) – (19) Parsons et al. (2012a) – (20) Drake et al. (2014c) – (21) Parsons et al. (2011b) – (22) Bours et al. (2015) – (23) Irawati et al. (2016) – (24) Pyrzas et al. (2012) – (25) Nebot Gómez-Morán et al. (2009) – (26) Parsons et al. (2012b) – (27) Raymond et al. (2003) – (28) van den Besselaar et al. (2007) – (29) Farihi, Becklin & Zuckerman (2005) – (30) Farihi, Hoard & Wachter (2010) – (31) O'Donoghue et al. (2003) – (32) Beuermann et al. (2013a) – (33) Littlefair et al. (2014) – (34) Green, Richstone & Schmidt (1978) – (35) Steinfadt, Bildsten & Howell (2008) – (36) Haefner (1989) – (37) Parsons et al. (2010a) – (38) Vennes et al. (2011) – (39) Hermes et al. (2014) – (40) Maxted et al. (2004).

Table 1.

List of the 58 detached eclipsing white dwarf binaries included in the monitoring programme described in this paper, sorted by RA. The SIMBAD identifier, frequently used alternative name and spectral type of the companion star to the white dwarf are given where available. The numbers in the parentheses following the zero-point and orbital period of the best linear ephemeris indicate the uncertainty in the last digits. The column marked with a # shows the number of new eclipse times presented here and the last column lists references for the discovery, a detailed study of the binary and/or the companion's spectral type.

IDWhite dwarf binarySpT2Best linear ephemeris#Ref
SIMBAD identifierAlternativeT0 (BMJDTDB)Porb (d)
1SDSS J002412.87+174531.4M356482.1968(1)0.200 038 47(2)41,2
2SDSS J010623.01-001456.2M655059.056123(6)0.085 015 3291(5)283,2
3SDSS J011009.09+132616.3M453993.94904(3)0.332 686 773(4)114,5
4SDSS J013851.49-001621.6M555867.00740(1)0.072 764 9720(9)26,5
5PTF1 J015256.60+384413.4PTFEB28.235M356195.16844(2)0.386 120 34(2)67
6SDSS J025953.32-004400.2M351819.4150(10)0.144 1834(1)18,9
7SDSS J030308.35+005444.1M4.553991.11730(1)0.134 437 6678(8)114,10,5
8SDSS J030856.55-005450.6M356210.15322(4)0.185 959 516(9)59,2
9WD 0312+019-56195.206351(1)0.305 296 762(2)1211,12
10NLTT 11748WD55772.041389(3)0.235 060 481(1)1213,14
11V471 TauK254027.9530(1)0.521 183 431(8)115
12RR CaeM451522.54847(4)0.303 703 678(4)2216
13SDSS J082145.27+455923.3M255989.03882(1)0.509 092 021(6)517,5
14SDSS J083845.86+191416.5CSS 40190M553469.22016(3)0.130 112 311(1)1418,5
15SDSS J085746.18+034255.3CSS 03170M855552.7127639(9)0.065 096 5384(1)1619
16SDSS J090812.03+060421.2CSS 080502M453466.33450(4)0.149 438 038(2)2618,5
17SDSS J092741.73+332959.1M356074.90612(3)2.308 225 61(9)617,5
18SDSS J093508.00+270049.256602.8398(2)0.201 0331(1)520
19SDSS J093947.95+325807.3CSS 38094M455587.308823(6)0.330 989 665(2)618,5
20SDSS J094634.49+203003.3M556032.94566(3)0.252 861 432(9)817,5
21SDSS J095719.24+234240.7CSS 41631M255548.35703(5)0.150 870 797(7)1318,5
22SDSS J095737.59+300136.5M356014.975114(32)1.926 1248(12)017,5
23SDSS J100559.10+224932.2CSS 41177WD55936.3446717(5)0.116 015 4373(3)1318,21,22
24SDSS J101356.32+272410.6M453831.12550(2)0.129 040 3812(8)71,5
25SDSS J102102.25+174439.9M456664.88435(1)0.140 358 755(5)117,23,5
26SDSS J102857.78+093129.8M2.556001.0950(4)0.235 025 08(10)1317,5
27SDSS J105756.93+130703.5M556010.0627(2)0.125 162 13(4)717,5
28SDSS J112308.39-115559.2M3.556364.2935(5)0.769 1358(14)11,2
29SDSS J121010.13+334722.9M554923.03353(5)0.124 489 790(4)1824,5
30SDSS J121258.25-012310.1M454104.20945(5)0.335 870 877(7)1125,26,5
31SDSS J122339.61-005631.2M655707.016990(7)0.090 078 0296(6)1027,17,5
32SDSS J124432.25+101710.8CSS 25601M453466.36035(8)0.227 856 372(5)618,5
33SDSS J130733.49+215636.7M456007.22121(6)0.216 322 35(1)917,5
34SDSS J132518.18+233808.0CSS 2161655653.45418(1)0.194 958 991(3)318
35DE CVnM352784.05429(6)0.364 139 237(9)1428
36SDSS J132925.21+123025.4M655271.054831(4)0.080 966 2425(5)3318
37WD 1333+005M4.555611.476690(9)0.121 958 759(1)2329,18,30
38SDSS J134841.61+183410.5CSS 21357M356000.161920(8)0.248 431 783(3)918
39QS VirEC 13471-1258M348689.1420(2)0.150 757 475(4)2431
40SDSS J141057.73-020236.7CSS 07125M353464.4888(1)0.363 497 08(1)718,5
41SDSS J141126.20+200911.1CSS 21055T055991.388719(2)0.084 532 7499(2)932,33
42SDSS J141134.70+102839.7M356031.1727(1)0.167 509 71(4)217,5
43SDSS J141150.74+211750.0M355659.2477(1)0.321 636 60(4)41
44GK VirM4.542543.33771(4)0.344 330 839(1)1234,26
45SDSS J142355.06+240924.3CSS 080408M555648.206115(5)0.382 004 296(2)718,5
46SDSS J142427.69+112457.954264.28247(2)0.239 293 557(2)51
47SDSS J143547.87+373338.5M554148.2054(2)0.125 630 956(9)2235,4,5
48SDSS J145634.29+161137.7CSS 09797M651665.7893(30)0.229 1202(2)218,5
49SDSS J154057.27+370543.4M454913.4139(3)0.261 435 56(5)31
50SDSS J154846.00+405728.7M654592.07303(2)0.185 515 282(2)44
51NN Ser-M447344.02510(6)0.130 080 129(1)1036,37
52SDSS J164235.97-063439.756770.19243(3)0.286 888 31(49)11
53GALEX J171708.5+675712WD55641.43159(7)0.246 135 44(3)138,39
54RX J2130.6+4710M3.552785.1810(5)0.521 036 58(6)1540
55SDSS J220504.50-062248.6M254453.07812(7)0.132 386 908(5)91
56SDSS J220823.66-011534.2CSS 09704M456175.879533(3)0.156 505 699(2)918
57SDSS J223530.61+142855.0M455469.06504(9)0.144 456 859(9)1017
58SDSS J230627.54-055533.255509.1090(7)0.200 083 19(6)11
IDWhite dwarf binarySpT2Best linear ephemeris#Ref
SIMBAD identifierAlternativeT0 (BMJDTDB)Porb (d)
1SDSS J002412.87+174531.4M356482.1968(1)0.200 038 47(2)41,2
2SDSS J010623.01-001456.2M655059.056123(6)0.085 015 3291(5)283,2
3SDSS J011009.09+132616.3M453993.94904(3)0.332 686 773(4)114,5
4SDSS J013851.49-001621.6M555867.00740(1)0.072 764 9720(9)26,5
5PTF1 J015256.60+384413.4PTFEB28.235M356195.16844(2)0.386 120 34(2)67
6SDSS J025953.32-004400.2M351819.4150(10)0.144 1834(1)18,9
7SDSS J030308.35+005444.1M4.553991.11730(1)0.134 437 6678(8)114,10,5
8SDSS J030856.55-005450.6M356210.15322(4)0.185 959 516(9)59,2
9WD 0312+019-56195.206351(1)0.305 296 762(2)1211,12
10NLTT 11748WD55772.041389(3)0.235 060 481(1)1213,14
11V471 TauK254027.9530(1)0.521 183 431(8)115
12RR CaeM451522.54847(4)0.303 703 678(4)2216
13SDSS J082145.27+455923.3M255989.03882(1)0.509 092 021(6)517,5
14SDSS J083845.86+191416.5CSS 40190M553469.22016(3)0.130 112 311(1)1418,5
15SDSS J085746.18+034255.3CSS 03170M855552.7127639(9)0.065 096 5384(1)1619
16SDSS J090812.03+060421.2CSS 080502M453466.33450(4)0.149 438 038(2)2618,5
17SDSS J092741.73+332959.1M356074.90612(3)2.308 225 61(9)617,5
18SDSS J093508.00+270049.256602.8398(2)0.201 0331(1)520
19SDSS J093947.95+325807.3CSS 38094M455587.308823(6)0.330 989 665(2)618,5
20SDSS J094634.49+203003.3M556032.94566(3)0.252 861 432(9)817,5
21SDSS J095719.24+234240.7CSS 41631M255548.35703(5)0.150 870 797(7)1318,5
22SDSS J095737.59+300136.5M356014.975114(32)1.926 1248(12)017,5
23SDSS J100559.10+224932.2CSS 41177WD55936.3446717(5)0.116 015 4373(3)1318,21,22
24SDSS J101356.32+272410.6M453831.12550(2)0.129 040 3812(8)71,5
25SDSS J102102.25+174439.9M456664.88435(1)0.140 358 755(5)117,23,5
26SDSS J102857.78+093129.8M2.556001.0950(4)0.235 025 08(10)1317,5
27SDSS J105756.93+130703.5M556010.0627(2)0.125 162 13(4)717,5
28SDSS J112308.39-115559.2M3.556364.2935(5)0.769 1358(14)11,2
29SDSS J121010.13+334722.9M554923.03353(5)0.124 489 790(4)1824,5
30SDSS J121258.25-012310.1M454104.20945(5)0.335 870 877(7)1125,26,5
31SDSS J122339.61-005631.2M655707.016990(7)0.090 078 0296(6)1027,17,5
32SDSS J124432.25+101710.8CSS 25601M453466.36035(8)0.227 856 372(5)618,5
33SDSS J130733.49+215636.7M456007.22121(6)0.216 322 35(1)917,5
34SDSS J132518.18+233808.0CSS 2161655653.45418(1)0.194 958 991(3)318
35DE CVnM352784.05429(6)0.364 139 237(9)1428
36SDSS J132925.21+123025.4M655271.054831(4)0.080 966 2425(5)3318
37WD 1333+005M4.555611.476690(9)0.121 958 759(1)2329,18,30
38SDSS J134841.61+183410.5CSS 21357M356000.161920(8)0.248 431 783(3)918
39QS VirEC 13471-1258M348689.1420(2)0.150 757 475(4)2431
40SDSS J141057.73-020236.7CSS 07125M353464.4888(1)0.363 497 08(1)718,5
41SDSS J141126.20+200911.1CSS 21055T055991.388719(2)0.084 532 7499(2)932,33
42SDSS J141134.70+102839.7M356031.1727(1)0.167 509 71(4)217,5
43SDSS J141150.74+211750.0M355659.2477(1)0.321 636 60(4)41
44GK VirM4.542543.33771(4)0.344 330 839(1)1234,26
45SDSS J142355.06+240924.3CSS 080408M555648.206115(5)0.382 004 296(2)718,5
46SDSS J142427.69+112457.954264.28247(2)0.239 293 557(2)51
47SDSS J143547.87+373338.5M554148.2054(2)0.125 630 956(9)2235,4,5
48SDSS J145634.29+161137.7CSS 09797M651665.7893(30)0.229 1202(2)218,5
49SDSS J154057.27+370543.4M454913.4139(3)0.261 435 56(5)31
50SDSS J154846.00+405728.7M654592.07303(2)0.185 515 282(2)44
51NN Ser-M447344.02510(6)0.130 080 129(1)1036,37
52SDSS J164235.97-063439.756770.19243(3)0.286 888 31(49)11
53GALEX J171708.5+675712WD55641.43159(7)0.246 135 44(3)138,39
54RX J2130.6+4710M3.552785.1810(5)0.521 036 58(6)1540
55SDSS J220504.50-062248.6M254453.07812(7)0.132 386 908(5)91
56SDSS J220823.66-011534.2CSS 09704M456175.879533(3)0.156 505 699(2)918
57SDSS J223530.61+142855.0M455469.06504(9)0.144 456 859(9)1017
58SDSS J230627.54-055533.255509.1090(7)0.200 083 19(6)11

References: (1) Parsons et al. (2015) – (2) Parsons et al. (in preparation) – (3) Kleinman et al. (2004) – (4) Pyrzas et al. (2009) – (5) Rebassa-Mansergas et al. (2012) – (6) Parsons et al. (2012c) – (7) Law et al. (2012) – (8) Bhatti et al. (2010) – (9) Becker et al. (2011) – (10) Parsons et al. (2013b) – (11) Hoard et al. (2007) – (12) Drake et al. (2014a) – (13) Steinfadt et al. (2010) – (14) Kaplan et al. (2014) – (15) O'Brien, Bond & Sion (2001) – (16) Maxted et al. (2007) – (17) Parsons et al. (2013a) – (18) Drake et al. (2010) – (19) Parsons et al. (2012a) – (20) Drake et al. (2014c) – (21) Parsons et al. (2011b) – (22) Bours et al. (2015) – (23) Irawati et al. (2016) – (24) Pyrzas et al. (2012) – (25) Nebot Gómez-Morán et al. (2009) – (26) Parsons et al. (2012b) – (27) Raymond et al. (2003) – (28) van den Besselaar et al. (2007) – (29) Farihi, Becklin & Zuckerman (2005) – (30) Farihi, Hoard & Wachter (2010) – (31) O'Donoghue et al. (2003) – (32) Beuermann et al. (2013a) – (33) Littlefair et al. (2014) – (34) Green, Richstone & Schmidt (1978) – (35) Steinfadt, Bildsten & Howell (2008) – (36) Haefner (1989) – (37) Parsons et al. (2010a) – (38) Vennes et al. (2011) – (39) Hermes et al. (2014) – (40) Maxted et al. (2004).

The remaining nine targets are semi-detached white dwarf binaries, also known as cataclysmic variables. There are three cataclysmic variables in our programme that have strongly magnetic white dwarfs, and are therefore classified as polars. In addition, there is one cataclysmic variable with a brown dwarf donor star. See Table 2 for details of these semi-detached binaries. Although the erratic features in the light curves caused by the variable accretion rate in these systems complicate the determination of accurate eclipse times, their tendency to experience outbursts also means that some of these cataclysmic variables have first been discovered decades ago. Their eclipse observations therefore tend to span a much longer baseline than those of the more-recently discovered detached binaries. This may be useful for revealing periodic variability of the eclipse times on decade time-scales.

Table 2.

List of the nine semi-detached eclipsing white dwarf binaries (cataclysmic variables) included in the monitoring programme described in this paper, sorted by RA. The SIMBAD identifier, frequently used alternative name and spectral type of the companion star to the white dwarf are given where available, with a star (*) indicating polars in which the white dwarf is strongly magnetic. The numbers in the parentheses following the zero-point and orbital period of the best linear ephemeris indicate the uncertainty in the last digits. The column marked with a # shows the number of new eclipse times presented here and the last column lists references for the discovery, a detailed study of the binary and/or the companion's spectral type.

IDWhite dwarf binarySpT2Best linear ephemeris#Ref
SIMBAD identifierAlternativeT0 (BMJDTDB)Porb (d)
59HT CasM5.443727.4406(2)0.073 647 180(1)221,2,3
60*FL CetM5.552968.82292(1)0.060 516 3225(3)94,5,6
61SDSS J103533.02+055158.3BD55353.952440(2)0.057 006 671 89(10)87
62NZ Boo53799.14064(3)0.058 909 4793(6)68,9
63SDSS J170213.24+322954.1M053647.73721(9)0.100 082 204(3)910,9,11
64*V2301 OphM5.548070.5244(2)0.078 449 990(2)1712,13,3
65EP Dra47681.2295(2)0.072 656 295(2)1014,15
66V713 Cep54337.87667(2)0.085 418 5085(8)1116
67*HU AqrM4.349102.4217(2)0.086 820 371(2)1517,18,19,3
IDWhite dwarf binarySpT2Best linear ephemeris#Ref
SIMBAD identifierAlternativeT0 (BMJDTDB)Porb (d)
59HT CasM5.443727.4406(2)0.073 647 180(1)221,2,3
60*FL CetM5.552968.82292(1)0.060 516 3225(3)94,5,6
61SDSS J103533.02+055158.3BD55353.952440(2)0.057 006 671 89(10)87
62NZ Boo53799.14064(3)0.058 909 4793(6)68,9
63SDSS J170213.24+322954.1M053647.73721(9)0.100 082 204(3)910,9,11
64*V2301 OphM5.548070.5244(2)0.078 449 990(2)1712,13,3
65EP Dra47681.2295(2)0.072 656 295(2)1014,15
66V713 Cep54337.87667(2)0.085 418 5085(8)1116
67*HU AqrM4.349102.4217(2)0.086 820 371(2)1517,18,19,3

References: (1) Patterson (1981) – (2) Feline et al. (2005) – (3) Knigge (2006) – (4) Szkody et al. (2002) – (5) O'Donoghue et al. (2006) – (6) Schmidt et al. (2005) – (7) Littlefair et al. (2006a) – (8) Szkody et al. (2006) – (9) Savoury et al. (2011) – (10) Szkody et al. (2004) – (11) Littlefair et al. (2006b) – (12) Barwig, Ritter & Barnbantner (1994) – (13) Ramsay & Cropper (2007) – (14) Remillard et al. (1991) – (15) Bridge et al. (2003) – (16) Boyd et al. (2011) – (17) Schwope, Thomas & Beuermann (1993) – (18) Hakala et al. (1993) – (19) Schwope et al. (2011).

Table 2.

List of the nine semi-detached eclipsing white dwarf binaries (cataclysmic variables) included in the monitoring programme described in this paper, sorted by RA. The SIMBAD identifier, frequently used alternative name and spectral type of the companion star to the white dwarf are given where available, with a star (*) indicating polars in which the white dwarf is strongly magnetic. The numbers in the parentheses following the zero-point and orbital period of the best linear ephemeris indicate the uncertainty in the last digits. The column marked with a # shows the number of new eclipse times presented here and the last column lists references for the discovery, a detailed study of the binary and/or the companion's spectral type.

IDWhite dwarf binarySpT2Best linear ephemeris#Ref
SIMBAD identifierAlternativeT0 (BMJDTDB)Porb (d)
59HT CasM5.443727.4406(2)0.073 647 180(1)221,2,3
60*FL CetM5.552968.82292(1)0.060 516 3225(3)94,5,6
61SDSS J103533.02+055158.3BD55353.952440(2)0.057 006 671 89(10)87
62NZ Boo53799.14064(3)0.058 909 4793(6)68,9
63SDSS J170213.24+322954.1M053647.73721(9)0.100 082 204(3)910,9,11
64*V2301 OphM5.548070.5244(2)0.078 449 990(2)1712,13,3
65EP Dra47681.2295(2)0.072 656 295(2)1014,15
66V713 Cep54337.87667(2)0.085 418 5085(8)1116
67*HU AqrM4.349102.4217(2)0.086 820 371(2)1517,18,19,3
IDWhite dwarf binarySpT2Best linear ephemeris#Ref
SIMBAD identifierAlternativeT0 (BMJDTDB)Porb (d)
59HT CasM5.443727.4406(2)0.073 647 180(1)221,2,3
60*FL CetM5.552968.82292(1)0.060 516 3225(3)94,5,6
61SDSS J103533.02+055158.3BD55353.952440(2)0.057 006 671 89(10)87
62NZ Boo53799.14064(3)0.058 909 4793(6)68,9
63SDSS J170213.24+322954.1M053647.73721(9)0.100 082 204(3)910,9,11
64*V2301 OphM5.548070.5244(2)0.078 449 990(2)1712,13,3
65EP Dra47681.2295(2)0.072 656 295(2)1014,15
66V713 Cep54337.87667(2)0.085 418 5085(8)1116
67*HU AqrM4.349102.4217(2)0.086 820 371(2)1517,18,19,3

References: (1) Patterson (1981) – (2) Feline et al. (2005) – (3) Knigge (2006) – (4) Szkody et al. (2002) – (5) O'Donoghue et al. (2006) – (6) Schmidt et al. (2005) – (7) Littlefair et al. (2006a) – (8) Szkody et al. (2006) – (9) Savoury et al. (2011) – (10) Szkody et al. (2004) – (11) Littlefair et al. (2006b) – (12) Barwig, Ritter & Barnbantner (1994) – (13) Ramsay & Cropper (2007) – (14) Remillard et al. (1991) – (15) Bridge et al. (2003) – (16) Boyd et al. (2011) – (17) Schwope, Thomas & Beuermann (1993) – (18) Hakala et al. (1993) – (19) Schwope et al. (2011).

2.3 Observing strategy

The eclipse observations presented here were taken using a number of telescopes and instruments. Mostly they were done with ULTRACAM (Dhillon et al. 2007) on the 4.2 m William Herschel Telescope (WHT) and the 3.6 m New Technology Telescope (NTT), ULTRASPEC (Dhillon et al. 2014) on the 2.4 m Thai National Telescope (TNT) and RISE on the 2.0 m Liverpool Telescope (LT; Steele et al. 2004, 2008). A full list of the telescopes and instruments used to obtain our observations can be found in Table 3. For each binary in the timing programme, the number of new eclipse times are listed in Tables 1 and 2. The eclipse times themselves will be available online (through Vizier1) for each binary. There we also include eclipse times from the literature, where available, for the purpose of completeness. Note though, that we exclude eclipse times with uncertainties exceeding 20 s.

Table 3.

Telescopes and instruments used for eclipse observations, listed in alphabetical order.

Telescope orDetails and/or explanation of acronym
instrument
ACAMImager mounted on the WHT.
DFOSCDanish Faint Object Spectrograph and Camera, mounted on the DT.
DT1.5 m Danish Telescope situated at La Silla, Chile.
HAWK-IHigh-Acuity Wide-field K-band Imager on the VLT.
INT2.5 m Isaac Newton Telescope, situated on La Palma, Spain.
LT2.0 m robotic Liverpool Telescope, situated on La Palma, Spain.
NTT3.6 m New Technology Telescope situated at La Silla, Chile.
pt5m0.5 m Durham/Sheffield telescope, situated on La Palma, Spain.
RISEHigh-speed photometer on the LT.
SAAOSouth-African Astronomical Observatory – 1m telescope + STE3 CCD camera
SOAR4.1 m Southern Astrophysical Research telescope, situated at Cerro Pachón, Chile.
SOISOAR Optical Imager.
SOFISon of Isaac, infrared spectrograph and imaging camera on the NTT.
TNT2.4 m Thai National Telescope, situated on Doi Inthanon, Thailand.
TRAPPIST0.6 m robotic telescope at La Silla, Chile, equiped with TRAPPISTCAM photometer.
ULTRACAMThree-channel high-speed photometer, mounted on the WHT, NTT and VLT.
ULTRASPECHigh-speed photometer, mounted on the TNT.
VLT8.0 m Unit Telescope of the Very Large Telescope, situated on Paranal, Chile.
W1mWarwick 1.0m telescope, situated on La Palma, Spain.
WFCWide-Field Camera on the INT.
WHT4.2 m WHT, situated on La Palma, Spain.
Telescope orDetails and/or explanation of acronym
instrument
ACAMImager mounted on the WHT.
DFOSCDanish Faint Object Spectrograph and Camera, mounted on the DT.
DT1.5 m Danish Telescope situated at La Silla, Chile.
HAWK-IHigh-Acuity Wide-field K-band Imager on the VLT.
INT2.5 m Isaac Newton Telescope, situated on La Palma, Spain.
LT2.0 m robotic Liverpool Telescope, situated on La Palma, Spain.
NTT3.6 m New Technology Telescope situated at La Silla, Chile.
pt5m0.5 m Durham/Sheffield telescope, situated on La Palma, Spain.
RISEHigh-speed photometer on the LT.
SAAOSouth-African Astronomical Observatory – 1m telescope + STE3 CCD camera
SOAR4.1 m Southern Astrophysical Research telescope, situated at Cerro Pachón, Chile.
SOISOAR Optical Imager.
SOFISon of Isaac, infrared spectrograph and imaging camera on the NTT.
TNT2.4 m Thai National Telescope, situated on Doi Inthanon, Thailand.
TRAPPIST0.6 m robotic telescope at La Silla, Chile, equiped with TRAPPISTCAM photometer.
ULTRACAMThree-channel high-speed photometer, mounted on the WHT, NTT and VLT.
ULTRASPECHigh-speed photometer, mounted on the TNT.
VLT8.0 m Unit Telescope of the Very Large Telescope, situated on Paranal, Chile.
W1mWarwick 1.0m telescope, situated on La Palma, Spain.
WFCWide-Field Camera on the INT.
WHT4.2 m WHT, situated on La Palma, Spain.
Table 3.

Telescopes and instruments used for eclipse observations, listed in alphabetical order.

Telescope orDetails and/or explanation of acronym
instrument
ACAMImager mounted on the WHT.
DFOSCDanish Faint Object Spectrograph and Camera, mounted on the DT.
DT1.5 m Danish Telescope situated at La Silla, Chile.
HAWK-IHigh-Acuity Wide-field K-band Imager on the VLT.
INT2.5 m Isaac Newton Telescope, situated on La Palma, Spain.
LT2.0 m robotic Liverpool Telescope, situated on La Palma, Spain.
NTT3.6 m New Technology Telescope situated at La Silla, Chile.
pt5m0.5 m Durham/Sheffield telescope, situated on La Palma, Spain.
RISEHigh-speed photometer on the LT.
SAAOSouth-African Astronomical Observatory – 1m telescope + STE3 CCD camera
SOAR4.1 m Southern Astrophysical Research telescope, situated at Cerro Pachón, Chile.
SOISOAR Optical Imager.
SOFISon of Isaac, infrared spectrograph and imaging camera on the NTT.
TNT2.4 m Thai National Telescope, situated on Doi Inthanon, Thailand.
TRAPPIST0.6 m robotic telescope at La Silla, Chile, equiped with TRAPPISTCAM photometer.
ULTRACAMThree-channel high-speed photometer, mounted on the WHT, NTT and VLT.
ULTRASPECHigh-speed photometer, mounted on the TNT.
VLT8.0 m Unit Telescope of the Very Large Telescope, situated on Paranal, Chile.
W1mWarwick 1.0m telescope, situated on La Palma, Spain.
WFCWide-Field Camera on the INT.
WHT4.2 m WHT, situated on La Palma, Spain.
Telescope orDetails and/or explanation of acronym
instrument
ACAMImager mounted on the WHT.
DFOSCDanish Faint Object Spectrograph and Camera, mounted on the DT.
DT1.5 m Danish Telescope situated at La Silla, Chile.
HAWK-IHigh-Acuity Wide-field K-band Imager on the VLT.
INT2.5 m Isaac Newton Telescope, situated on La Palma, Spain.
LT2.0 m robotic Liverpool Telescope, situated on La Palma, Spain.
NTT3.6 m New Technology Telescope situated at La Silla, Chile.
pt5m0.5 m Durham/Sheffield telescope, situated on La Palma, Spain.
RISEHigh-speed photometer on the LT.
SAAOSouth-African Astronomical Observatory – 1m telescope + STE3 CCD camera
SOAR4.1 m Southern Astrophysical Research telescope, situated at Cerro Pachón, Chile.
SOISOAR Optical Imager.
SOFISon of Isaac, infrared spectrograph and imaging camera on the NTT.
TNT2.4 m Thai National Telescope, situated on Doi Inthanon, Thailand.
TRAPPIST0.6 m robotic telescope at La Silla, Chile, equiped with TRAPPISTCAM photometer.
ULTRACAMThree-channel high-speed photometer, mounted on the WHT, NTT and VLT.
ULTRASPECHigh-speed photometer, mounted on the TNT.
VLT8.0 m Unit Telescope of the Very Large Telescope, situated on Paranal, Chile.
W1mWarwick 1.0m telescope, situated on La Palma, Spain.
WFCWide-Field Camera on the INT.
WHT4.2 m WHT, situated on La Palma, Spain.

In total, the sample includes more than 650 new, previously unpublished eclipse times, ranging from 1 for some of the newer or very long-period white dwarf binaries up to 20–30 for those binaries that were starting to show O-C variability and therefore justified close monitoring.

3 THE O-C METHOD

The method of timing a specific feature in the light curve of a star or binary and comparing this observed time to a time calculated from an ephemeris is a validated approach that has been in use for decades. The residuals in the form of observed minus calculated (O-C) times can be used to investigate the evolution of the star or binary in which the feature that is being timed originates. This technique is a powerful tool for revealing behaviour that deviates from the assumed model, as such deviations will show up as non-zero residuals, although the accuracy depends on the accuracy with which the feature itself can be timed. This feature is generally a steady periodic phenomenon, such as the pulses emitted by a rapidly rotating neutron star (Wolszczan & Frail 1992; Wolszczan 1994), eclipses in binary stars (Wood & Forbes 1963; Parsons et al. 2010b; Hermes et al. 2012; Lohr et al. 2014), or stellar pulsations (Silvotti et al. 2007; Mullally et al. 2008; Hermes et al. 2013). Modelling these residuals can reveal the underlying process that causes them. Here, one can think of the presence of circumstellar or circumbinary planets, a change in orbital period due to angular momentum loss or redistribution through magnetic braking, gravitational wave emission or Applegate's mechanism. It might also be possible to detect long-term evolutionary processes such as white dwarf cooling which affects pulsation periods and amplitudes.

In the remainder of this paper we will use this O-C method, applied to white dwarf eclipse times, to search for deviations from a constant orbital period. For this we assume a linear ephemeris that takes the form of
(1)
for each binary. Here Porb is the orbital period of the white dwarf binary, T0 is the time at which the cycle number E = 0, and T is the time of a given orbital cycle E. The best linear ephemerides for the targets in the eclipse timing programme are listed in Tables 1 and 2, and were calculated using a linear least-squares approach to minimize the residuals. An overview of O-C variations of a representative sample of eclipsing white dwarf binaries is given in Fig. 1.
Grid of O-C diagrams of 54 binaries in the eclipse timing programme, ordered by the baseline of observations with the longest at the top left and the shortest at the bottom right. The horizontal axis of each thumbnail finishes on 2016 July 1 and spans 10 yr, unless a longer baseline is indicated in the top right corner of the thumbnail. The number in the top left corner indicates the extent of the vertical axis, in seconds, for each O-C diagram. The number in the bottom right corner is the binary's ID number, corresponding to the ID numbers in Tables 1 and 2.
Figure 1.

Grid of O-C diagrams of 54 binaries in the eclipse timing programme, ordered by the baseline of observations with the longest at the top left and the shortest at the bottom right. The horizontal axis of each thumbnail finishes on 2016 July 1 and spans 10 yr, unless a longer baseline is indicated in the top right corner of the thumbnail. The number in the top left corner indicates the extent of the vertical axis, in seconds, for each O-C diagram. The number in the bottom right corner is the binary's ID number, corresponding to the ID numbers in Tables 1 and 2.

4 MEASURING ECLIPSE TIMES

For each eclipse time we list the cycle number based on the best linear ephemeris, and the telescope+instrument combination used for obtaining the data, or the paper reference if the time has previously been published. As a representative example of the layout of the eclipse times tables, the eclipse times for SDSS J030308.35+005444.1 are shown in Table 4. Note that for data taken with ULTRACAM, which observes in three wavelength bands simultaneously, we present the weighted average of the three eclipse times. Also note that the times from Backhaus et al. (2012) were published in the time standard BJD(TT). However, the difference between BJD(TT) and BJD(TDB) is at most 3.4 ms, which is well within the uncertainties on the mid-eclipse times.

Table 4.

23 published and 11 unpublished mid-eclipse times for SDSS J0303+0054, a detached white dwarf + M-dwarf of spectral type M4.5 (Rebassa-Mansergas et al. 2012). Numbers in parenthesis indicate the uncertainty in the last digit(s). Facilities used to obtain the new data include ULTRACAM on the 4.2 m WHT, RISE on the 2.0 m Liverpool Telescope (LT) and ULTRASPEC on the 2.4 m Thai National Telescope (TNT).

CycleMJD(UTC)BMJD(TDB)Source
053991.11741(20)Pyrzas et al. (2009)
1453992.99923(20)Pyrzas et al. (2009)
2353994.20929(20)Pyrzas et al. (2009)
4453997.03229(20)Pyrzas et al. (2009)
255954335.14302(20)Pyrzas et al. (2009)
258954339.17583(20)Pyrzas et al. (2009)
296054389.05324(20)Pyrzas et al. (2009)
296854390.122320(2)54390.128292(2)Parsons et al. (2010b)
297654391.197780(2)54391.203787(2)Parsons et al. (2010b)
305854402.221411(18)54402.227653(18)Parsons et al. (2010b)
1130055510.262977(2)Parsons et al. (2013b)
1130755511.204040(2)Parsons et al. (2013b)
1141155525.185563(4)Parsons et al. (2013b)
1344355798.362876(13)Backhaus et al. (2012)
1351055807.370189(14)Backhaus et al. (2012)
1353355810.462273(12)Backhaus et al. (2012)
1387455856.305526(11)Backhaus et al. (2012)
1389755859.397585(11)Backhaus et al. (2012)
1392655863.296278(10)Backhaus et al. (2012)
1394855866.253894(13)Backhaus et al. (2012)
1628356180.161925(2)56180.165824(2)Parsons et al. (2013b)
1650556210.005261(2)56210.010984(2)Parsons et al. (2013b)
1653556214.038239(2)56214.044118(2)Parsons et al. (2013b)
1701156278.031604(17)56278.036452(17)LT+RISE
1867156501.203048(30)56501.202982(30)LT+RISE
1870156505.235763(5)56505.236075(5)WHT+ULTRACAM
1919156571.105019(13)56571.110566(13)LT+RISE
1980056652.978910(13)56652.983082(13)LT+RISE
2003556684.574551(5)56684.575920(5)TNT+ULTRASPEC
2138656866.201304(12)56866.201227(12)LT+RISE
2229656988.533625(9)56988.539519(9)TNT+ULTRASPEC
2494157344.121062(10)57344.127255(10)LT+RISE
2510857366.573012(5)57366.578342(5)TNT+ULTRASPEC
2510957366.707477(6)57366.712799(6)TNT+ULTRASPEC
CycleMJD(UTC)BMJD(TDB)Source
053991.11741(20)Pyrzas et al. (2009)
1453992.99923(20)Pyrzas et al. (2009)
2353994.20929(20)Pyrzas et al. (2009)
4453997.03229(20)Pyrzas et al. (2009)
255954335.14302(20)Pyrzas et al. (2009)
258954339.17583(20)Pyrzas et al. (2009)
296054389.05324(20)Pyrzas et al. (2009)
296854390.122320(2)54390.128292(2)Parsons et al. (2010b)
297654391.197780(2)54391.203787(2)Parsons et al. (2010b)
305854402.221411(18)54402.227653(18)Parsons et al. (2010b)
1130055510.262977(2)Parsons et al. (2013b)
1130755511.204040(2)Parsons et al. (2013b)
1141155525.185563(4)Parsons et al. (2013b)
1344355798.362876(13)Backhaus et al. (2012)
1351055807.370189(14)Backhaus et al. (2012)
1353355810.462273(12)Backhaus et al. (2012)
1387455856.305526(11)Backhaus et al. (2012)
1389755859.397585(11)Backhaus et al. (2012)
1392655863.296278(10)Backhaus et al. (2012)
1394855866.253894(13)Backhaus et al. (2012)
1628356180.161925(2)56180.165824(2)Parsons et al. (2013b)
1650556210.005261(2)56210.010984(2)Parsons et al. (2013b)
1653556214.038239(2)56214.044118(2)Parsons et al. (2013b)
1701156278.031604(17)56278.036452(17)LT+RISE
1867156501.203048(30)56501.202982(30)LT+RISE
1870156505.235763(5)56505.236075(5)WHT+ULTRACAM
1919156571.105019(13)56571.110566(13)LT+RISE
1980056652.978910(13)56652.983082(13)LT+RISE
2003556684.574551(5)56684.575920(5)TNT+ULTRASPEC
2138656866.201304(12)56866.201227(12)LT+RISE
2229656988.533625(9)56988.539519(9)TNT+ULTRASPEC
2494157344.121062(10)57344.127255(10)LT+RISE
2510857366.573012(5)57366.578342(5)TNT+ULTRASPEC
2510957366.707477(6)57366.712799(6)TNT+ULTRASPEC
Table 4.

23 published and 11 unpublished mid-eclipse times for SDSS J0303+0054, a detached white dwarf + M-dwarf of spectral type M4.5 (Rebassa-Mansergas et al. 2012). Numbers in parenthesis indicate the uncertainty in the last digit(s). Facilities used to obtain the new data include ULTRACAM on the 4.2 m WHT, RISE on the 2.0 m Liverpool Telescope (LT) and ULTRASPEC on the 2.4 m Thai National Telescope (TNT).

CycleMJD(UTC)BMJD(TDB)Source
053991.11741(20)Pyrzas et al. (2009)
1453992.99923(20)Pyrzas et al. (2009)
2353994.20929(20)Pyrzas et al. (2009)
4453997.03229(20)Pyrzas et al. (2009)
255954335.14302(20)Pyrzas et al. (2009)
258954339.17583(20)Pyrzas et al. (2009)
296054389.05324(20)Pyrzas et al. (2009)
296854390.122320(2)54390.128292(2)Parsons et al. (2010b)
297654391.197780(2)54391.203787(2)Parsons et al. (2010b)
305854402.221411(18)54402.227653(18)Parsons et al. (2010b)
1130055510.262977(2)Parsons et al. (2013b)
1130755511.204040(2)Parsons et al. (2013b)
1141155525.185563(4)Parsons et al. (2013b)
1344355798.362876(13)Backhaus et al. (2012)
1351055807.370189(14)Backhaus et al. (2012)
1353355810.462273(12)Backhaus et al. (2012)
1387455856.305526(11)Backhaus et al. (2012)
1389755859.397585(11)Backhaus et al. (2012)
1392655863.296278(10)Backhaus et al. (2012)
1394855866.253894(13)Backhaus et al. (2012)
1628356180.161925(2)56180.165824(2)Parsons et al. (2013b)
1650556210.005261(2)56210.010984(2)Parsons et al. (2013b)
1653556214.038239(2)56214.044118(2)Parsons et al. (2013b)
1701156278.031604(17)56278.036452(17)LT+RISE
1867156501.203048(30)56501.202982(30)LT+RISE
1870156505.235763(5)56505.236075(5)WHT+ULTRACAM
1919156571.105019(13)56571.110566(13)LT+RISE
1980056652.978910(13)56652.983082(13)LT+RISE
2003556684.574551(5)56684.575920(5)TNT+ULTRASPEC
2138656866.201304(12)56866.201227(12)LT+RISE
2229656988.533625(9)56988.539519(9)TNT+ULTRASPEC
2494157344.121062(10)57344.127255(10)LT+RISE
2510857366.573012(5)57366.578342(5)TNT+ULTRASPEC
2510957366.707477(6)57366.712799(6)TNT+ULTRASPEC
CycleMJD(UTC)BMJD(TDB)Source
053991.11741(20)Pyrzas et al. (2009)
1453992.99923(20)Pyrzas et al. (2009)
2353994.20929(20)Pyrzas et al. (2009)
4453997.03229(20)Pyrzas et al. (2009)
255954335.14302(20)Pyrzas et al. (2009)
258954339.17583(20)Pyrzas et al. (2009)
296054389.05324(20)Pyrzas et al. (2009)
296854390.122320(2)54390.128292(2)Parsons et al. (2010b)
297654391.197780(2)54391.203787(2)Parsons et al. (2010b)
305854402.221411(18)54402.227653(18)Parsons et al. (2010b)
1130055510.262977(2)Parsons et al. (2013b)
1130755511.204040(2)Parsons et al. (2013b)
1141155525.185563(4)Parsons et al. (2013b)
1344355798.362876(13)Backhaus et al. (2012)
1351055807.370189(14)Backhaus et al. (2012)
1353355810.462273(12)Backhaus et al. (2012)
1387455856.305526(11)Backhaus et al. (2012)
1389755859.397585(11)Backhaus et al. (2012)
1392655863.296278(10)Backhaus et al. (2012)
1394855866.253894(13)Backhaus et al. (2012)
1628356180.161925(2)56180.165824(2)Parsons et al. (2013b)
1650556210.005261(2)56210.010984(2)Parsons et al. (2013b)
1653556214.038239(2)56214.044118(2)Parsons et al. (2013b)
1701156278.031604(17)56278.036452(17)LT+RISE
1867156501.203048(30)56501.202982(30)LT+RISE
1870156505.235763(5)56505.236075(5)WHT+ULTRACAM
1919156571.105019(13)56571.110566(13)LT+RISE
1980056652.978910(13)56652.983082(13)LT+RISE
2003556684.574551(5)56684.575920(5)TNT+ULTRASPEC
2138656866.201304(12)56866.201227(12)LT+RISE
2229656988.533625(9)56988.539519(9)TNT+ULTRASPEC
2494157344.121062(10)57344.127255(10)LT+RISE
2510857366.573012(5)57366.578342(5)TNT+ULTRASPEC
2510957366.707477(6)57366.712799(6)TNT+ULTRASPEC

4.1 Detached binaries

To measure mid-eclipse times for the detached binaries we use the program lcurve.2 This program is designed to model short-period white dwarf + main-sequence star binaries, and can account for eclipses, deformation of the secondary star because it is close to filling its Roche lobe (ellipsoidal modulation), and reprocessed light from the white dwarf by the M-dwarf (reflection effect), see Fig. 2. Limb darkening can be specified for both stars, using either a polynomial of up to fourth order, or the four-parameter law from Claret (2000). Coefficients for the white dwarfs are taken from Gianninas et al. (2013), and those for late main-sequence stars from Claret & Bloemen (2011). In addition it is possible to include gravitational lensing (Marsh 2001) and the effect of gravity darkening for each star (Claret & Bloemen 2011). The latter becomes important for significantly Roche-distorted stars and for those stars that are rapidly rotating. Doppler beaming (Loeb & Gaudi 2003) and a Rømer delay (Kaplan 2010) can be included as well, but these effects are generally negligible for the binaries in the eclipse timing programme. Some more details about lcurve can be found in Pyrzas et al. (2009) and Copperwheat et al. (2010). For an example of a detailed study of an eclipsing binary that includes a reflection effect, ellipsoidal modulation, gravitational lensing and Doppler beaming, see Bloemen et al. (2011).

Model light curves from lcurve of detached eclipsing WD+M-dwarf binaries with an inclination i = 90°. Top: simple detached binary. Middle: light curve showing ellipsoidal modulation, caused by Roche lobe distortion of the secondary star. Bottom: light curve showing the reflection effect, present in close binaries with a hot white dwarf. Because the stars are locked in synchronous rotation, one hemisphere of the M-dwarf will be strongly irradiated, and will therefore emit additional reprocessed radiation. Note that in all three types secondary eclipses at phase 0.5 are often not visible because the white dwarf covers such a small area of the M-dwarf, which is also much cooler.
Figure 2.

Model light curves from lcurve of detached eclipsing WD+M-dwarf binaries with an inclination i = 90°. Top: simple detached binary. Middle: light curve showing ellipsoidal modulation, caused by Roche lobe distortion of the secondary star. Bottom: light curve showing the reflection effect, present in close binaries with a hot white dwarf. Because the stars are locked in synchronous rotation, one hemisphere of the M-dwarf will be strongly irradiated, and will therefore emit additional reprocessed radiation. Note that in all three types secondary eclipses at phase 0.5 are often not visible because the white dwarf covers such a small area of the M-dwarf, which is also much cooler.

Once a good model is found for a binary, subsequent fits of new eclipse data only require as free parameters the mid-eclipse time tmid and the secondary star's temperature T2 to obtain a good fit, plus an overall linear or quadratic trend if significant changes of the relative colours of the star with airmass need to be modelled as well. By not optimizing every parameter for every individual data set one avoids ending up with highly degenerate models and overly large uncertainty estimates.

4.2 Semi-detached binaries

Measuring eclipse times for semi-detached binaries is complicated by the inherent flickering in the light curves of these systems, which is caused by the varying accretion rate. On top of this, there are additional features near the white dwarf eclipse caused by the eclipse of the accretion disc and bright spot in non-magnetic systems and intermediate polars, and of the hotspot on the white dwarf's surface in polars. Therefore we chose to approach the fitting as done in Bours et al. (2014b), where the ingress and egress of the white dwarf eclipse are fit by a least-squares approach using a function that is composed of a sigmoid and a straight line,
(2)
Here x and y are the time and flux measurements of the light curve, and k1 to k5 are coefficients of the fit.

The straight line part allows fitting the overall trend outside and during ingress and egress. For polars, this includes the ingress and egress of the white dwarf itself, which can have a significant contribution, especially when the entire system is in a low state. The sigmoid part of the function fits the ingress or egress of the white dwarf, or the hotspot on the white dwarf for polars. To determine uncertainties, these fits are performed in a Monte Carlo manner in which the values of the data points are perturbed based on their uncertainties and the number of included data points are varied by a few at each edge, thereby reducing any strong effects in the results caused by single data points.

Note that because of the presence of flickering and the varying mass-transfer rates the exact shape of the light curves of semi-detached binaries can vary significantly over a time-scale of months to years. Measuring exactly the same feature in the white dwarf eclipse is therefore less straightforward than it is with detached binaries.

5 TRENDS IN ECLIPSE TIME VARIATIONS

For some binaries it is possible to fit the eclipse times with models based on the assumption that circumbinary planets are present, but for most binaries such models have been refuted by additional data (Parsons et al. 2010b; Bours et al. 2014b) or by detailed dynamical stability analyses (Hinse et al. 2012; Horner et al. 2012; Wittenmyer, Horner & Marshall 2013). It is somewhat more difficult to rule out the presence of Applegate's mechanism, although arguments on energetic grounds can be considered (Brinkworth et al. 2006; Völschow et al. 2016).

Because it can be difficult to confidently determine the cause of eclipse time variations in a given binary, we may be able to say something about the principal mechanism at work in these binaries by searching for trends in a large set of such systems. First of all, in Section 5.1, we explore whether a correlation exists between the amount of observed O-C variations and the baseline of the eclipse observations. Such a correlation would indicate that the present data set is still too limited to draw robust conclusions. In Section 5.2, we investigate the possibility that the O-C variations are the result of an Applegate-like mechanism. In particular, with increasing spectral type, from M0 to M8 and into the brown dwarf regime, such a mechanism is expected to become much less effective as the luminosity of the white dwarf's companion decreases. Therefore the O-C variations should become less pronounced, if not completely disappear. In addition, we expect to see no orbital period variations at all for double white dwarf binaries. This is because white dwarfs are not thought to experience magnetic cyclic behaviour, and because they have extremely small R2/a values. Therefore they cannot drive orbital period variations of the kind predicted by the Applegate and Lanza mechanisms (Applegate 1992; Lanza et al. 1998; Lanza 2006).

In the event that the observed behaviour is caused by the presence of circumbinary planets, it is likely that there is no particular correlation present. This is because circumbinary planets can, in principle, form around a wide variety of binaries, and so there is no reason for them to be present preferentially around certain types of binaries. However, there may be a fundamental difference in the number and/or nature of the planets, depending on how planets form and/or survive around binary proto-stars and evolving close binaries (see for example Zorotovic & Schreiber 2013). Either way, if circumbinary planets are present around the close white dwarf binaries such as those presented here, one has to be able to fit the O-C residuals with models of circumbinary planetary systems, which, in addition, have to be dynamically stable (Marsh et al. 2014).

5.1 Baseline of observations

An attempt to quantify the amount of eclipse timing variations as a function of the baseline of the observations for the various binaries is shown in Fig. 3. Here, the root mean square (RMS) of the residuals is calculated using the standard formula,
(3)
in which xi, yi and σi are the cycle number, eclipse time and uncertainty in the eclipse time and y is the best linear ephemeris of these N data points. Fig. 3 shows the RMS values for each binary as a function of the total baseline spanned by the eclipse observations for the given binary.
Measure of the extent of eclipse timing variations with respect to a linear ephemeris (RMS) as a function of the baseline of the observations. Binaries with at least three eclipse time measurements have been included. The triangle, circle and star symbols represent detached double white dwarf binaries, other detached binaries and cataclysmic variables, respectively.
Figure 3.

Measure of the extent of eclipse timing variations with respect to a linear ephemeris (RMS) as a function of the baseline of the observations. Binaries with at least three eclipse time measurements have been included. The triangle, circle and star symbols represent detached double white dwarf binaries, other detached binaries and cataclysmic variables, respectively.

It appears that the RMS saturates at a value near 100, although the log-scale of the plot enhances this feature. Nevertheless, the figure indicates that any white dwarf + low-mass main sequence star binary with eclipse observations spanning at least 10 yr is extremely likely to show significant residuals in the O-C eclipse times. The only real exception in our sample so far is SDSS J1035+0551, which is a cataclysmic variable with a brown dwarf donor (Littlefair et al. 2006a). The observational baseline is close to 10 yr for this binary, and the O-C times are perfectly flat (see the thumbnail with ID number 61 in Fig. 1).

This idea is reinforced by Fig. 4, which, in addition to the points in Fig. 3, also shows the RMS values of intermediate sets of eclipse times in grey. These intermediate RMS values are calculated using an integer number of eclipse times, starting with the first three, increasing by one with each step, and calculating the best linear ephemeris and corresponding RMS for these sets of eclipse times. One of two clear exceptions to the general trend is shown by GK Vir, which continues at an RMS close to 1, until the baseline of the observations reaches ∼27 yr. However, this behaviour is caused by an extremely large gap of nearly the same duration in the eclipse observations, rather than by an actual feature of the data. The second exception, EP Dra, has a similar gap in the observations, in this case of roughly 22 yr.

Measure of the extent of eclipse timing variations with respect to a linear ephemeris (RMS) as a function of the baseline of the observations, starting with the first three eclipse times and subsequently increasing the number of data points included by one for the next RMS calculation. See the text for more details. The triangle, circle and star symbols represent detached double white dwarf binaries, other detached binaries and cataclysmic variables, respectively.
Figure 4.

Measure of the extent of eclipse timing variations with respect to a linear ephemeris (RMS) as a function of the baseline of the observations, starting with the first three eclipse times and subsequently increasing the number of data points included by one for the next RMS calculation. See the text for more details. The triangle, circle and star symbols represent detached double white dwarf binaries, other detached binaries and cataclysmic variables, respectively.

It appears that the baseline of the eclipse observations is indeed quite an important factor in determining whether or not O-C variations are present. Although not unexpected, the long minimum baseline of ∼10 yr required means that a lot of data needs to be acquired before robust general conclusions can be drawn. This is particularly important because mixing short and long baselines may work to obscure trends in the data.

5.2 Are the O-C variations caused by magnetic cycles in the secondary stars?

It is possible that the observed O-C variations are caused by the presence of magnetic cycles in the secondary stars, and therefore represent true variations in the orbital periods of these binaries. Because Applegate's mechanism is driven by magnetic cycles in the companion, and because magnetic activity decreases towards later spectral types, a correlation between the spectral type and the amount of O-C variations is to be expected. In addition, the maximum energy available for driving the magnetic cycles is given by the star's total luminosity, which correlates steeply with the star's mass and spectral type. For binaries with later spectral types, and masses close to the stellar – brown dwarf limit, we therefore expect much smaller O-C variations, if any are present at all.

To search for such a correlation, Fig. 5 shows the RMS of the eclipse time residuals with respect to the best linear ephemeris as a function of the secondary star's spectral type. In addition, the grey-scale indicates the length of the baseline of the eclipse time observations, which continues to be an important factor.

Measure of the extent of eclipse timing variations with respect to the best linear ephemeris (RMS) as a function of the secondary star's spectral type. The grey-scale corresponds to the baseline of the eclipse observations, with white for 0 yr and black for 10 yr as indicated in the legend. All binaries with a baseline exceeding 10 yr are plotted in black to avoid excessive stretching of the grey-scale. The triangle, circle and star symbols represent detached double white dwarf binaries, other detached binaries and cataclysmic variables, respectively. Note that the RMS values for the two binaries in our sample with brown dwarf companions are very similar, so that their symbols overlap.
Figure 5.

Measure of the extent of eclipse timing variations with respect to the best linear ephemeris (RMS) as a function of the secondary star's spectral type. The grey-scale corresponds to the baseline of the eclipse observations, with white for 0 yr and black for 10 yr as indicated in the legend. All binaries with a baseline exceeding 10 yr are plotted in black to avoid excessive stretching of the grey-scale. The triangle, circle and star symbols represent detached double white dwarf binaries, other detached binaries and cataclysmic variables, respectively. Note that the RMS values for the two binaries in our sample with brown dwarf companions are very similar, so that their symbols overlap.

From Fig. 5 it appears that there could indeed be a correlation between the amount of O-C variations and the spectral type of the secondary star. However, note that we do not yet have binaries with baselines exceeding 10 yr at all secondary star spectral types. None the less, binaries with secondaries of spectral type M6 – M8, brown dwarfs or white dwarfs evidently have smaller RMS values. Our sample of binaries with such late-type secondaries is limited to 11. Of these, SDSS J103533.02+055158.3, a cataclysmic variable with a brown dwarf donor (Littlefair et al. 2006a), has the longest observational baseline of 9 yr. Note that when we only consider binaries with baselines smaller than 10 yr, the RMS values of binaries with secondary star spectral types earlier than M6 are on average still larger than those of binaries with later spectral types. It therefore appears that there are indeed two different populations, with the separating line close to spectral type M6. This behaviour may result from the transition of low-mass main-sequence stars having a radiative envelope and convective core at earlier spectral types, to being fully convective at late spectral types (Chabrier & Baraffe 1997). Due to this absence of the tachocline in late-type stars, the magnetic fields may be generated through a different mechanism than in early-type stars (Morin et al. 2008, 2010). Studying which secondary stars drive orbital period variations in white dwarf binaries can therefore shed light on the presence and generation of magnetic dynamos in low-mass main-sequence stars. In addition, long-term monitoring can reveal the temporal variability of such magnetic fields through the observed orbital period variations.

Ideally, we would like to investigate whether the RMS of the O-C variations correlate with a parameter that represents the strength of an Applegate-like mechanism in a given secondary star. This parameter would primarily depend on the secondary star's luminosity, or equivalently, its mass (Applegate 1992; Völschow et al. 2016). The reason is that this parameter is representative of the maximum energy available in the star for driving the mechanism. A second important parameter would be the binary's orbital separation, representing the ease with which the mechanism can couple to the binary orbit. For larger separations, one needs a larger variation in the star's gravitational quadrupole moment in order to obtain orbital period variations of the same magnitude. Assuming an essentially constant period for the magnetic cyles as well as a constant period change relative to the binary's orbital period, the energy required to drive the O-C variations, ΔE, is given by
(4)
with Esec, Msec, Rsec and Lsec the energy, mass, radius and luminosity of the secondary star, and abin the binary's orbital separation (Völschow et al. 2016).

However, for most binaries in our eclipse timing programme we do not know the masses of the secondary stars or the orbital separations of the binaries, and we only have the spectral types of the secondary stars. Estimates of masses from spectral types are typically quite inaccurate given that we do not know the age of the binaries, especially for late-type M-dwarfs. Therefore, because the star's luminosity and spectral type are closely related, until we know more about the individual binaries and secondary stars, we use the spectral types as an indicator for magnetic activity (see Tables 1 and 2).

6 A LOOK AT A FEW SELECTED BINARIES

This section includes a more detailed look at a few selected binaries, which are either interesting in their own right, or show behaviour representative of a group of targets in our timing programme.

6.1 Binaries with long observational baselines

First of all we have a number of binaries for which the observational baseline is long, and which all show substantial O-C variations. As a member of this category, RX J2130.6+4710 is particularly interesting because this is the first time that its O-C variations have been detected, even though they have a large amplitude. Subsequently, we briefly discuss the observations of NN Ser and QS Vir, both of which have long histories concerning their O-C variations and proposed models to explain them.

6.1.1 RX J2130.6+4710

RX J2130.6+4710 is a detached white dwarf + M-dwarf binary, with an orbital period of ∼ 12.5 h. A study of the system parameters based on phase-resolved spectroscopy and ULTRACAM photometry of this binary was published by Maxted et al. (2004), who also published the first mid-eclipse times. Note that the eclipse times they measured from data using the 1.0 m Jakobus Kapteyn and 2.5 m Isaac Newton Telescopes on La Palma cannot be trusted to better than several seconds due to inaccurate timestamping of the data. We have therefore set the uncertainties of these times to 10 s. Unfortunately, RX J2130.6+4710 lies only 12 arcsec away from a bright G0 star (HD 204906), which complicates the extraction of the light curve, especially with data taken during variable atmospheric conditions. In addition, the M3.5 – M4 main-sequence star (Maxted et al. 2004) frequently experiences flares.

We obtained 15 new eclipse times with ULTRACAM, ULTRASPEC and RISE. These new times reveal an extreme deviation in the mid-eclipse times with respect to a linear ephemeris, see Fig. 6, to the extent that the eclipse in 2015 September was observed almost 11 min later than expected from the original ephemeris published by Maxted et al. (2004). The overall shape of the O-C times appears to be parabolic-like, and could correspond to part of a sinusoidal variation. Such a sinusoidal variability could result from an Applegate-like mechanism, or be the result of a reflex motion of the binary caused by a third companion. Given our observational baseline of 15 yr, the mechanism at work operates with a period exceeding at least 30 yr. Explaining the large amplitude of the O-C measurements with the presence of a third object would require a brown dwarf companion. Currently, the data covers too small a section of such a sinusoid to constrain the parameters of any sinusoidal fit. Regular eclipse observations in the coming years are necessary to shed further light on the O-C variations in this binary.

O-C diagram of RX J2130.6+4710, with respect to the best linear ephemeris in Table 1. Note that the three eclipse times near cycle number -2000 are not reliable to within several seconds due to inaccurate timestamping of the data (Maxted et al. 2004). Times with uncertainties larger than 3 s are shown in grey.
Figure 6.

O-C diagram of RX J2130.6+4710, with respect to the best linear ephemeris in Table 1. Note that the three eclipse times near cycle number -2000 are not reliable to within several seconds due to inaccurate timestamping of the data (Maxted et al. 2004). Times with uncertainties larger than 3 s are shown in grey.

6.1.2 NN Ser

NN Ser is a white dwarf + M-dwarf binary with an orbital period of 3.1 h, showing not only eclipses but also a large reflection effect. This system has been studied extensively, both photometrically and spectroscopically (see Haefner 1989; Wood & Marsh 1991; Catalan et al. 1994; Haefner et al. 2004; Parsons et al. 2010a). About 10 yr ago, Brinkworth et al. (2006) noticed that NN Ser appears to show a decrease in its orbital period, and that this decrease is much larger than predicted by models of magnetic braking in close binaries or by the mechanism proposed by Applegate (1992). Subsequent changes in the sign of the O-C variations definitively ruled out magnetic braking as the cause. Since then, the changes in the mid-eclipse times have been attributed to the presence of circumbinary substellar companions (Qian et al. 2009). A more recent model includes two circumbinary Jovian planets, and has been refined with each release of new eclipse times (Beuermann et al. 2010, 2013a; Marsh et al. 2014). Out of all the white dwarf binaries showing eclipse timing variations, NN Ser is the only one in which the proposed circumbinary planetary models have survived the addition of new eclipse times, as well as rigorous dynamical stability analysis. Even the O-C variations in the secondary eclipse times follow the proposed model, thereby ruling out apsidal precession as the cause of the observed variations (Parsons et al. 2014). A detection of a dust disc around NN Ser further supports the idea that circumbinary planets can form and exist around evolved binaries (Hardy et al. 2016).

As part of the eclipse timing programme, we present 10 new eclipse times of NN Ser. With these new times, we have recalculated the planetary model fits and dynamical stability analyses presented in Marsh et al. (2014). In order to obtain a good fit, the model now requires a non-zero quadratic term in the ephemeris, therefore corresponding to model ‘B + e2 + β’ from Marsh et al. (2014). The best model, together with the O-C eclipse times, is shown in Fig. 7. The number of dynamically stable models has decreased significantly, leaving only 1 model in 79700 that is stable for more than 1 Myr (the age of the close binary itself), see Figs 8 and 9.

O-C diagram of NN Ser. The dashed line indicates the best-fitting model, which includes two circumbinary Jovian planets as well as a quadratic trend with a much longer period (dotted lines). The lower panel shows the residuals with respect to the best fit.
Figure 7.

O-C diagram of NN Ser. The dashed line indicates the best-fitting model, which includes two circumbinary Jovian planets as well as a quadratic trend with a much longer period (dotted lines). The lower panel shows the residuals with respect to the best fit.

Parameter space showing the periods of the two circumbinary Jovian planets proposed in the model for NN Ser. The red dots indicate a dynamical stability lasting 0.1–1 Myr, while the single, larger, blue dot indicates a model that is dynamically stable for a time exceeding 1 Myr. Compare with the right-most panel of fig. 5 in Marsh et al. (2014).
Figure 8.

Parameter space showing the periods of the two circumbinary Jovian planets proposed in the model for NN Ser. The red dots indicate a dynamical stability lasting 0.1–1 Myr, while the single, larger, blue dot indicates a model that is dynamically stable for a time exceeding 1 Myr. Compare with the right-most panel of fig. 5 in Marsh et al. (2014).

Parameter space showing the eccentricities of the two circumbinary Jovian planets proposed in the model for NN Ser. The red dots indicate a dynamical stability lasting 0.1–1 Myr, while the single, larger, blue dot indicates a model that is dynamically stable for a time exceeding 1 Myr. Compare with fig. 6 in Marsh et al. (2014).
Figure 9.

Parameter space showing the eccentricities of the two circumbinary Jovian planets proposed in the model for NN Ser. The red dots indicate a dynamical stability lasting 0.1–1 Myr, while the single, larger, blue dot indicates a model that is dynamically stable for a time exceeding 1 Myr. Compare with fig. 6 in Marsh et al. (2014).

The periods of the two Jovian planets are further constrained by the additional data and now definitively favour a period ratio close to 2:1. The models with planetary periods close to the 5:2 ratio (Beuermann et al. 2010; Marsh et al. 2014) are no longer viable. The eccentricities of the planetary orbits are both non-zero, and the distribution of these parameters is shown in Fig. 9. The long-period quadratic term in the model is in the direction of a lengthening orbital period, and can therefore not be explained by natural processes that lead to angular momentum loss, such as magnetic braking or gravitational wave emission. Although it is far too early to say anything definitive about its origin, the quadratic term could be attributed to a third, more distant, circumbinary object. Note however that, given the spectral type M4 of the secondary star (Parsons et al. 2010a), some form of Applegate's mechanism could well be at work in this binary. If both Applegate's mechanism and circumbinary planets are present, this severely complicates the process of modelling the eclipse times, since we cannot model the effect of the magnetic activity cycle. The best test of the planetary model with two Jovian planets will come in 2018–2019, when the model predicts a maximum and subsequent downturn in the O-C eclipse times.

6.1.3 QS Vir

QS Vir is a white dwarf + M-dwarf binary, also known as EC 13471-1258, discovered in the Edinburgh-Cape blue object survey (Stobie et al. 1997). The red dwarf has a spectral type of M3, and almost completely fills its Roche lobe (O'Donoghue et al. 2003), and the binary has therefore been classified as a hibernating cataclysmic variable by those authors. However, analysis of the white dwarf rotation showed that the system could also be a pre-cataclysmic variable (Parsons et al. 2011a, 2016), although the hibernation theory is not fully excluded (Drake et al. 2014b). Recently, it was also discovered that prominences from the M-dwarf appear to be locked in stable configurations within the binary system, and last there for more than a year (Parsons et al. 2016). Besides the white dwarf eclipse, the binary's light curve shows a small reflection effect at blue wavelengths, and ellipsoidal modulation at redder wavelengths (Parsons et al. 2010b).

There are 86 published mid-eclipse times as well as 24 unpublished as part of the eclipse timing programme presented here. As can be seen in Fig. 10, QS Vir shows eclipse time variations with large amplitudes and with occasional extreme changes. From the latest eclipse times it appears that another local or absolute maximum might have been reached in the O-C residuals, similar perhaps to the O-C variations close to cycle number 5000 or 20 000. Observations in the coming years will show if another abrupt shift occurs, and therefore whether or not the O-C variations are cyclic in their behaviour.

O-C diagram of QS Vir, with respect to the linear ephemeris in Table 1. Times with uncertainties larger than 3 s are shown in grey.
Figure 10.

O-C diagram of QS Vir, with respect to the linear ephemeris in Table 1. Times with uncertainties larger than 3 s are shown in grey.

There have been several attempts to explain the cause of these large and erratic O-C variations. Qian et al. (2010), following Brinkworth et al. (2006), calculated the energy available in the secondary star, and showed that this was insufficient to cause the observed large-amplitude O-C variations through Applegate's mechanism. Instead, they proposed a combination of a large continuous decrease in the binary's orbital period and the presence of a circumbinary planet of ∼7 MJup. New eclipse data quickly showed that this hypothesis was wrong (Parsons et al. 2010b). Almeida & Jablonski (2011) then presented a new fit to the data, which included two circumbinary planets. However, the extreme shift near cycle number 30 000 forces at least one planet into a highly eccentric orbit, causing the entire planetary system to be dynamically unstable (Horner et al. 2013).

Clearly, the eclipse time variations in this binary are complex, and what causes them remains to be discovered. There are a few other binaries in the timing programme that show similarly large O-C variations, such as V471 Tau (Hardy et al. 2015) and HU Aqr (Bours et al. 2014b).

6.2 Binaries with little or no O-C variability

The binaries mentioned above have eclipse observations spanning over at least a decade, but there are many binaries in the eclipse timing programme that have a shorter baseline. Some of these already show small O-C variations, while the data for other systems is still consistent with a constant orbital period.

6.2.1 SDSS J090812.03+060421.2, aka CSS 080502

CSS 080502 is a detached white dwarf + M-dwarf binary with an observational baseline of about five years, and it has already started to show some O-C variations, see Fig. 11. It was discovered as an eclipsing white dwarf binary in CSS data (Drake et al. 2009), and has also been observed as part of SDSS as SDSS J090812.03+060421.2. Pyrzas et al. (2009) determined approximate parameters for the white dwarf and M-dwarf through decomposition and fitting of the available SDSS spectra. The M-dwarf has a spectral type of M4, as determined by Rebassa-Mansergas et al. (2012), which is in good agreement with the previous determinations of Drake et al. (2010) and Silvestri et al. (2006).

O-C diagram of CSS 080502, also known as SDSS J090812.03+060421.2, with respect to the linear ephemeris in Table 1.
Figure 11.

O-C diagram of CSS 080502, also known as SDSS J090812.03+060421.2, with respect to the linear ephemeris in Table 1.

CSS 080502 is a representative example of a number of targets in the timing programme, all of which have eclipse observations covering a few years and have started to show small-scale O-C variations on the order of ± 5–10 s. Among others, this includes SDSS J1210+3347 and SDSS J1212-0123.

6.2.2 SDSS J093947.95+325807.3, aka CSS 38094

There are also a few binaries which have so far shown no variability in their eclipse arrival times. One example of this class is CSS 38094, also known as SDSS J093947.95+325807.3. CSS 38094 was discovered in CSS data as a white dwarf + red dwarf binary, with the latter having a spectral type of M5. The more recent determination of spectral type from SDSS data agrees with this (Rebassa-Mansergas et al. 2012). The first white dwarf eclipse times were published by Backhaus et al. (2012), and we obtained six more as part of our timing programme.

The O-C diagram of CSS 38094 is shown in Fig. 12, and is so far consistent with a linear ephemeris. Binaries with similarly flat O-C diagrams are SDSS J0314+0206, CSS 080408 and CSS 03170. However, for all of these binaries the eclipse observations span only a few years, and it is therefore too early to say whether these binaries indeed show no variations at all in the eclipse arrival times.

O-C diagram of CSS 38094, also known as SDSS J093947.95+325807.3, with respect to the linear ephemeris in Table 1. Times with uncertainties larger than 3 s are shown in grey.
Figure 12.

O-C diagram of CSS 38094, also known as SDSS J093947.95+325807.3, with respect to the linear ephemeris in Table 1. Times with uncertainties larger than 3 s are shown in grey.

6.3 Two long-period binaries

We have two white dwarf + M-dwarf binaries with relatively long orbital periods in our eclipse timing programme. These are SDSS J092741.73+332959.1, with a period of 2.3 d and an observational baseline of ∼ 3 yr, and SDSS J095737.59+300136.5, with an orbital period of 1.9 d and so far only one observed eclipse. Because of the large separation between the two stars in these binaries, we expect any Applegate-type mechanism to couple extremely weakly to the binary orbit. In this case, the O-C residuals should be consistent with zero. So far, the baselines are too short to draw conclusions.

In the long term, these two targets are prime indicators of whether or not an Applegate- or Lanza-type mechanism operates in white dwarf + M-dwarf binaries. Note however, that the long orbital periods also complicate the observations, primarily because the periods are close to a multiple of 24 h.

6.4 Binaries with brown dwarf or white dwarf secondaries

There are three double white dwarf binaries in our programme, CSS 41177 (Parsons et al. 2011b; Bours et al. 2014a, 2015), GALEX J1717+6757 (Vennes et al. 2011; Hermes et al. 2014) and NLTT 11748 (Kawka, Vennes & Vaccaro 2010; Kilic et al. 2010; Steinfadt et al. 2010; Kaplan et al. 2014). There are also two white dwarf + brown dwarf binaries in the eclipse timing programme, CSS 21055 (Beuermann et al. 2013b; Littlefair et al. 2014) and SDSS J103533.02+055158.3 (Littlefair et al. 2006a; Savoury et al. 2011).

Note that for NLTT 11748, the eclipse times published by Kaplan et al. (2014) were said to be corrected to the Solar system barycenter. However, together with those authors, we discovered that they were in fact converted to Barycentric Coordinate Time (TCB) and not Barycentric Dynamical Time (TDB). These two are linearly related,3 and we have used this to convert the times from Kaplan et al. (2014) to BMJD(TDB) in order to be consistent with the new eclipse times measured as part of our eclipse timing programme.

As we do not expect any strong magnetic cyclic activity in white dwarfs or brown dwarfs, we expect the O-C diagrams of these binaries to be flat, consistent with a constant orbital period. The observational baselines for these five binaries range from 3 to 9 yr and are indeed all consistent with constant orbital periods.

7 CONCLUSIONS

The large eclipse timing programme presented here is the first step towards revealing the extent and amplitude of eclipse timing variations throughout the class of white dwarf binaries. In addition, it will enable the systematic search for correlations between the amount of eclipse timing variability and characteristics of the systems, such as the secondary star's spectral type.

Currently, we are mostly limited by the relatively short observational baselines for the majority of our targets. However, there are some preliminary conclusions that we can draw at this point.

  • All white dwarf + M-dwarf binaries in the eclipse timing programme with observational baselines exceeding 10 yr show O-C residuals on the order of 100 s.

  • It appears that the presence of a circumbinary planetary system can be ruled out for almost all of these binaries with long baselines and large O-C variations. The one exception is the white dwarf + M-dwarf binary NN Ser, for which the data can still be fit with a model including two Jovian planets and a quadratic term in the ephemeris.

  • Our programme contains 11 white dwarf binaries with secondary stars of spectral types M6 – M8, brown dwarfs or white dwarfs. Only two of these have an RMS > 1.3 for the O-C residuals. The first is SDSS J0106-0014, which has an M-dwarf with spectral type M6 (Rebassa-Mansergas et al. 2012), and shows O-C variations of ±5 s over a baseline of ∼6 yr. The other binary, SDSS J1329+1230, has a very similar baseline, and also shows variations on the ±5 s scale. The spectral type of the M-dwarf in this binary is somewhat uncertain, because it is not visible spectroscopically at optical wavelengths. As a best guess, it has been classified as an M6 from the SDSS spectra (Drake et al. 2010), but it could well be a subtype or two earlier or later.

  • There is currently only one close eclipsing binary that has a long observational baseline of eclipse observations which are consistent with a constant orbital period, namely AA Dor (Kilkenny 2011, 2014). This binary contains a hot subdwarf OB star and a low-mass companion at the substellar limit (Vučković et al. 2016). Its observational baseline is now about 37 yr (Kilkenny 2014; Lohr et al. 2014). Given the low mass of the secondary star, this is in full agreement with the small RMS values that we found here for the white dwarf binaries with low-mass secondaries.

Overall, we believe that it is most likely that the observed orbital period variations originate in the secondary stars in these binaries and work on the binary orbit through an Applegate- or Lanza-type mechanism. The fact that Applegate's mechanism can apparently be ruled out for some binaries with extreme O-C variations could be due to the fact that we do not completely understand either the processes acting in the low-mass main sequence stars or the way these couple to the binary orbits. Also, Lanza et al. (1998) and Lanza (2006) have suggested that the coupling of magnetic cycles to the orbital period could occur using only a fraction of the energy of the mechanism suggested by Applegate (1992). In the future, with an expanded version of the timing programme presented here, we may be able to understand and possibly calibrate the magnetic behaviour of low-mass main-sequence stars. This could be of crucial importance for understanding planetary systems around such single low-mass stars, as well as observed transit-timing variations of, for example, hot-Jupiters around such stars (see for example Watson & Marsh 2010; Maciejewski et al. 2016).

Finally, we expect that in practice the magnetic mechanism is entangled with other phenomena present in the white dwarf binaries studied here. This could include strong irradiation and subsequent inflation of the secondary star which could redistribute angular momentum, or the presence of a weak magnetic field in the white dwarf and the interaction between the stellar magnetic fields. Given the prevalence of planetary systems in all kinds of configurations as well as the fact that a significant fraction of white dwarfs continuously appear to be accreting heavy metals (Gänsicke et al. 2012; Koester, Gänsicke & Farihi 2014), it seems reasonable to assume that some planetary systems – or possibly their remnants – do exist around evolved white dwarf binaries. This is exactly what might be causing the O-C variations in NN Ser. However, we reiterate that for the vast majority of systems the data are inconsistent with O-C variations caused by external, line-of-sight variations.

MCPB acknowledges support from Maja Vučković and the Joint Committee ESO-Government of Chile (grant 2014). TRM, EB, VSD, SPL, TB and RWW are grateful to the Science and Technology Facilities Council for financial support in the form of grant nos ST/L000733, ST/L00075X/1 and ST/M001350/1. SGP and CC acknowledge support from CONICYT FONDECYT grants 3140585 and 3140592, respectively. CC also acknowledges support from the Millennium Nucleus RC130007 (Chilean Ministry of Economy). JJH acknowledges support from NASA through Hubble Fellowship grant no. HST-HF2-51357.001-A, awarded by the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Incorporated, under NASA contract NAS5-26555. DK is partially funded by the University of the Western Cape and the National Research Foundation (NRF) of South Africa. The research leading to these results has also received funding from the European Research Council under ERC Grant Agreement n. 320964 (WDTracer).

2

The lcurve package was written by T.R. Marsh; see http://www.warwick.ac.uk/go/trmarsh/software for more information.

REFERENCES

Almeida
L. A.
Jablonski
F.
2011
Sozzetti
A.
Lattanzi
M. G.
Boss
A. P.
Proc. IAU Symp.
276
495

Applegate
J. H.
1992
ApJ
385
621

Applegate
J. H.
Patterson
J.
1987
ApJ
322
L99

Backhaus
U.
et al.
2012
A&A
538
A84

Barwig
H.
Ritter
H.
Barnbantner
O.
1994
A&A
288
204

Bear
E.
Soker
N.
2014
MNRAS
444
1698

Beavers
W. I.
Lui
A.
Herczeg
T. J.
1986
ApJ
300
785

Becker
A. C.
Bochanski
J. J.
Hawley
S. L.
Ivezić
Ž.
Kowalski
A. F.
Sesar
B.
West
A. A.
2011
ApJ
731
17

Beuermann
K.
et al.
2010
A&A
521
L60

Beuermann
K.
Dreizler
S.
Hessman
F. V.
2013a
A&A
555
A133

Beuermann
K.
et al.
2013b
A&A
558
A96

Bhatti
W. A.
Richmond
M. W.
Ford
H. C.
Petro
L. D.
2010
ApJS
186
233

Bloemen
S.
et al.
2011
MNRAS
410
1787

Bours
M. C. P.
et al.
2014a
MNRAS
438
3399

Bours
M. C. P.
et al.
2014b
MNRAS
445
1924

Bours
M. C. P.
Marsh
T. R.
Gänsicke
B. T.
Parsons
S. G.
2015
MNRAS
448
601

Boyd
D.
Denisenko
D.
Koff
R.
Miller
I.
Staels
B.
2011
J. Br. Astron. Assoc.
121
233

Bridge
C. M.
Cropper
M.
Ramsay
G.
de Bruijne
J. H. J.
Reynolds
A. P.
Perryman
M. A. C.
2003
MNRAS
341
863

Brinkworth
C. S.
Marsh
T. R.
Dhillon
V. S.
Knigge
C.
2006
MNRAS
365
287

Catalan
M. S.
Davey
S. C.
Sarna
M. J.
Connon-Smith
R.
Wood
J. H.
1994
MNRAS
269
879

Chabrier
G.
Baraffe
I.
1997
A&A
327
1039

Claret
A.
2000
A&A
363
1081

Claret
A.
Bloemen
S.
2011
A&A
529
A75

Copperwheat
C. M.
Marsh
T. R.
Dhillon
V. S.
Littlefair
S. P.
Hickman
R.
Gänsicke
B. T.
Southworth
J.
2010
MNRAS
402
1824

Dhillon
V. S.
et al.
2007
MNRAS
378
825

Dhillon
V. S.
et al.
2014
MNRAS
444
4009

Doyle
L. R.
et al.
2011
Science
333
1602

Drake
A. J.
et al.
2009
ApJ
696
870

Drake
A. J.
et al.
2010
preprint (arXiv:1009.3048)

Drake
A. J.
et al.
2014a
ApJS
213
9

Drake
J. J.
Garraffo
C.
Takei
D.
Gaensicke
B.
2014b
MNRAS
437
3842

Drake
A. J.
et al.
2014c
ApJ
790
157

Dvorak
R.
1986
A&A
167
379

Eastman
J.
Siverd
R.
Gaudi
B. S.
2010
PASP
122
935

Farihi
J.
Becklin
E. E.
Zuckerman
B.
2005
ApJS
161
394

Farihi
J.
Hoard
D. W.
Wachter
S.
2010
ApJS
190
275

Faulkner
J.
1971
ApJ
170
L99

Feline
W. J.
Dhillon
V. S.
Marsh
T. R.
Watson
C. A.
Littlefair
S. P.
2005
MNRAS
364
1158

Gänsicke
B. T.
Koester
D.
Farihi
J.
Girven
J.
Parsons
S. G.
Breedt
E.
2012
MNRAS
424
333

Gianninas
A.
Strickland
B. D.
Kilic
M.
Bergeron
P.
2013
ApJ
766
3

Green
R. F.
Richstone
D. O.
Schmidt
M.
1978
ApJ
224
892

Haefner
R.
1989
A&A
213
L15

Haefner
R.
Fiedler
A.
Butler
K.
Barwig
H.
2004
A&A
428
181

Hakala
P. J.
Watson
M. G.
Vilhu
O.
Hassall
B. J. M.
Kellett
B. J.
Mason
K. O.
Piirola
V.
1993
MNRAS
263
61

Hardy
A.
et al.
2015
ApJ
800
L24

Hardy
A.
et al.
2016
MNRAS
459
4518

Hermes
J. J.
et al.
2012
ApJ
757
L21

Hermes
J. J.
Montgomery
M. H.
Mullally
F.
Winget
D. E.
Bischoff-Kim
A.
2013
ApJ
766
42

Hermes
J. J.
et al.
2014
MNRAS
444
1674

Hinse
T. C.
Lee
J. W.
Goździewski
K.
Haghighipour
N.
Lee
C.-U.
Scullion
E. M.
2012
MNRAS
420
3609

Hoard
D. W.
Wachter
S.
Sturch
L. K.
Widhalm
A. M.
Weiler
K. P.
Pretorius
M. L.
Wellhouse
J. W.
Gibiansky
M.
2007
AJ
134
26

Horner
J.
Hinse
T. C.
Wittenmyer
R. A.
Marshall
J. P.
Tinney
C. G.
2012
MNRAS
427
2812

Horner
J.
Wittenmyer
R. A.
Hinse
T. C.
Marshall
J. P.
Mustill
A. J.
Tinney
C. G.
2013
MNRAS
435
2033

Huang
S.-S.
1966
Ann. Astrophysique
29
331

Irawati
P.
et al.
2016
MNRAS
456
2446

Irwin
J. B.
1959
AJ
64
149

Kaplan
D. L.
2010
ApJ
717
L108

Kaplan
D. L.
et al.
2014
ApJ
780
167

Kawka
A.
Vennes
S.
Vaccaro
T. R.
2010
A&A
516
L7

Kilic
M.
Allende Prieto
C.
Brown
W. R.
Agüeros
M. A.
Kenyon
S. J.
Camilo
F.
2010
ApJ
721
L158

Kilkenny
D.
2011
MNRAS
412
487

Kilkenny
D.
2014
MNRAS
445
4247

Kleinman
S. J.
et al.
2004
ApJ
607
426

Knigge
C.
2006
MNRAS
373
484

Knigge
C.
Baraffe
I.
Patterson
J.
2011
ApJS
194
28

Koester
D.
Gänsicke
B. T.
Farihi
J.
2014
A&A
566
A34

Kraft
R. P.
1967
ApJ
150
551

Landau
L. D.
Lifshitz
E. M.
1975
The Classical Theory of Fields
Pergamon Press
Oxford

Lanza
A. F.
2006
MNRAS
369
1773

Lanza
A. F.
Rodono
M.
Rosner
R.
1998
MNRAS
296
893

Law
N. M.
et al.
2012
ApJ
757
133

Littlefair
S. P.
Dhillon
V. S.
Marsh
T. R.
Gänsicke
B. T.
Southworth
J.
Watson
C. A.
2006a
Science
314
1578

Littlefair
S. P.
Dhillon
V. S.
Marsh
T. R.
Gänsicke
B. T.
2006b
MNRAS
371
1435

Littlefair
S. P.
et al.
2014
MNRAS
445
2106

Loeb
A.
Gaudi
B. S.
2003
ApJ
588
L117

Lohr
M. E.
et al.
2014
A&A
566
A128

Maciejewski
G.
et al.
2016
A&A
588
L6

Marsh
T. R.
2001
MNRAS
324
547

Marsh
T. R.
et al.
2014
MNRAS
437
475

Maxted
P. F. L.
Marsh
T. R.
Morales-Rueda
L.
Barstow
M. A.
Dobbie
P. D.
Schreiber
M. R.
Dhillon
V. S.
Brinkworth
C. S.
2004
MNRAS
355
1143

Maxted
P. F. L.
O'Donoghue
D.
Morales-Rueda
L.
Napiwotzki
R.
Smalley
B.
2007
MNRAS
376
919

Mestel
L.
1968
MNRAS
138
359

Morin
J.
et al.
2008
MNRAS
390
567

Morin
J.
Donati
J.-F.
Petit
P.
Delfosse
X.
Forveille
T.
Jardine
M. M.
2010
MNRAS
407
2269

Mullally
F.
Winget
D. E.
De Gennaro
S.
Jeffery
E.
Thompson
S. E.
Chandler
D.
Kepler
S. O.
2008
ApJ
676
573

Mustill
A. J.
Marshall
J. P.
Villaver
E.
Veras
D.
Davis
P. J.
Horner
J.
Wittenmyer
R. A.
2013
MNRAS
436
2515

Nebot Gómez-Morán
A.
et al.
2009
A&A
495
561

O'Brien
M. S.
Bond
H. E.
Sion
E. M.
2001
ApJ
563
971

O'Donoghue
D.
Koen
C.
Kilkenny
D.
Stobie
R. S.
Koester
D.
Bessell
M. S.
Hambly
N.
MacGillivray
H.
2003
MNRAS
345
506

O'Donoghue
D.
et al.
2006
MNRAS
372
151

Orosz
J. A.
et al.
2012a
Science
337
1511

Orosz
J. A.
et al.
2012b
ApJ
758
87

Paczyński
B.
1967
Acta Astron.
17
287

Parsons
S. G.
Marsh
T. R.
Copperwheat
C. M.
Dhillon
V. S.
Littlefair
S. P.
Gänsicke
B. T.
Hickman
R.
2010a
MNRAS
402
2591

Parsons
S. G.
et al.
2010b
MNRAS
407
2362

Parsons
S. G.
Marsh
T. R.
Gänsicke
B. T.
Tappert
C.
2011a
MNRAS
412
2563

Parsons
S. G.
Marsh
T. R.
Gänsicke
B. T.
Drake
A. J.
Koester
D.
2011b
ApJ
735
L30

Parsons
S. G.
et al.
2012a
MNRAS
419
304

Parsons
S. G.
et al.
2012b
MNRAS
420
3281

Parsons
S. G.
et al.
2012c
MNRAS
426
1950

Parsons
S. G.
et al.
2013a
MNRAS
429
256

Parsons
S. G.
Marsh
T. R.
Gänsicke
B. T.
Schreiber
M. R.
Bours
M. C. P.
Dhillon
V. S.
Littlefair
S. P.
2013b
MNRAS
436
241

Parsons
S. G.
et al.
2014
MNRAS
438
L91

Parsons
S. G.
et al.
2015
MNRAS
449
2194

Parsons
S. G.
et al.
2016
MNRAS
458
2793

Patterson
J.
1981
ApJS
45
517

Pyrzas
S.
et al.
2009
MNRAS
394
978

Pyrzas
S.
et al.
2012
MNRAS
419
817

Qian
S.-B.
Dai
Z.-B.
Liao
W.-P.
Zhu
L.-Y.
Liu
L.
Zhao
E. G.
2009
ApJ
706
L96

Qian
S.-B.
Liao
W.-P.
Zhu
L.-Y.
Dai
Z.-B.
Liu
L.
He
J.-J.
Zhao
E.-G.
Li
L.-J.
2010
MNRAS
401
L34

Ramsay
G.
Cropper
M.
2007
MNRAS
379
1209

Rappaport
S.
Verbunt
F.
Joss
P. C.
1983
ApJ
275
713

Raymond
S. N.
et al.
2003
AJ
125
2621

Rebassa-Mansergas
A.
Nebot Gómez-Morán
A.
Schreiber
M. R.
Gänsicke
B. T.
Schwope
A.
Gallardo
J.
Koester
D.
2012
MNRAS
419
806

Remillard
R. A.
Silber
A.
Stroozas
B. A.
Tapia
S.
1991
ApJ
379
715

Ritter
H.
Kolb
U.
2003
A&A
404
301

Savoury
C. D. J.
et al.
2011
MNRAS
415
2025

Schatzman
E.
1962
Ann. Astrophysique
25
18

Schleicher
D. R. G.
Dreizler
S.
2014
A&A
563
A61

Schmidt
G. D.
et al.
2005
ApJ
620
422

Schwope
A. D.
Thomas
H. C.
Beuermann
K.
1993
A&A
271
L25

Schwope
A. D.
Horne
K.
Steeghs
D.
Still
M.
2011
A&A
531
A34

Silvestri
N. M.
et al.
2006
AJ
131
1674

Silvotti
R.
et al.
2007
Nature
449
189

Steele
I. A.
et al.
2004
in Oschmann J. M., Jr, ed., Proc. SPIE
5489
679

Steele
I. A.
Bates
S. D.
Gibson
N.
Keenan
F.
Meaburn
J.
Mottram
C. J.
Pollacco
D.
Todd
I.
2008
Proc. SPIE
7014
70146

Steinfadt
J. D. R.
Bildsten
L.
Howell
S. B.
2008
ApJ
677
L113

Steinfadt
J. D. R.
Kaplan
D. L.
Shporer
A.
Bildsten
L.
Howell
S. B.
2010
ApJ
716
L146

Stobie
R. S.
et al.
1997
MNRAS
287
848

Szkody
P.
et al.
2002
AJ
123
430

Szkody
P.
et al.
2004
AJ
128
1882

Szkody
P.
et al.
2006
AJ
131
973

van den Besselaar
E. J. M.
et al.
2007
A&A
466
1031

Vennes
S.
et al.
2011
ApJ
737
L16

Veras
D.
Tout
C. A.
2012
MNRAS
422
1648

Verbunt
F.
Zwaan
C.
1981
A&A
100
L7

Völschow
M.
Schleicher
D. R. G.
Perdelwitz
V.
Banerjee
R.
2016
A&A
587
A34

Vučković
M.
Østensen
R. H.
Németh
P.
Bloemen
S.
Pápics
P. I.
2016
A&A
586
A146

Watson
C. A.
Marsh
T. R.
2010
MNRAS
405
2037

Welsh
W. F.
et al.
2012
Nature
481
475

Wittenmyer
R. A.
Horner
J.
Marshall
J. P.
2013
MNRAS
431
2150

Wolszczan
A.
1994
Science
264
538

Wolszczan
A.
Frail
D. A.
1992
Nature
355
145

Wood
B. D.
Forbes
J. E.
1963
AJ
68
257

Wood
J. H.
Marsh
T. R.
1991
ApJ
381
551

York
D. G.
et al.
2000
AJ
120
1579

Zorotovic
M.
Schreiber
M. R.
2013
A&A
549
A95