ABSTRACT

Here we present the first optical photometric monitoring results of a sample of 12 newly discovered blazars from the ICRF – Gaia CRF astrometric link. The observations were performed from April 2013 to August 2019 using eight telescopes located in Europe. For a robust test for the brightness and colour variability, we use Abbé criterion and F-test. Moreover, linear fittings are performed to investigate the relation in the colour-magnitude variations of the blazars. Variability was confirmed in the case of 10 sources; two sources, 1429+249 and 1556+335 seem to be possibly variable. Three sources (1034+574, 1722+119, and 1741+597) have displayed large amplitude brightness change of more than one magnitude. We found that the seven sources displayed bluer-when-brighter variations, and one source showed redder-when-brighter variations. We briefly explain the various AGN emission models which can explain our results.

1 INTRODUCTION

Blazars form a subclass of radio loud (RL) active galactic nuclei (AGN) which eject relativistic jets along the observer’s line of sight (Urry & Padovani 1995). BL Lacertae objects (BL Lacs) and flat spectrum radio quasars (FSRQs) are collectively referred to as blazars. In the composite optical/UV spectra, BL Lacs show featureless continuum or weak narrow emission lines (equivalent width EW ≤ 5 Å) (e.g. Stickel et al. 1991; Marcha et al. 1996) while FSRQs show prominent broad emission lines. Blazars flux, polarization, and spectra are highly variable in the whole (radio to γ-rays) electromagnetic (EM) spectrum (e.g. Gupta et al. 2017b, and references therein). Blazars in general show variability on diverse time-scales, ranging as short as a few minutes to as long as several decades. Variability time-scales of blazars can be broadly divided into three classes: time-scale from a few minutes to a less than a day is commonly known as microvariability (Miller, Carini & Goodrich 1989) or intra-day variability (IDV) (Wagner & Witzel 1995) or intra-night variability (Gopal-Krishna, Sagar & Wiita 1993). Variability time-scales ranging from a few days to a few months are called short-term variability (STV), and those from a few months to several years are termed as long-term variability (LTV; see Gupta et al. 2004).

Blazar emission extending across the entire EM spectrum is dominated by non-thermal radiation from the relativistic jets. The broad-band emission provides us an excellent opportunity to study their spectral energy distribution (SED), often characterized by well-known double-hump structure (von Montigny et al. 1995; Fossati et al. 1998). In all classes of blazars, from radio to soft X-ray frequencies the dominant emission mechanism is synchrotron emission, and whereas in hard X-ray and γ-ray energies it is most probably inverse Compton (IC) scattering (Ulrich, Maraschi & Urry 1997; Böttcher 2007). In the recent classification scheme based on the peak synchrotron frequency νpeak, blazars are classified in three sub-classes: LSP – Low synchrotron peak with νpeak ≤ 1014 Hz, ISP – Intermediate synchrotron peak with 1014 < νpeak < 1015 Hz, and HSP – High synchrotron peak with νpeak ≥ 1015 Hz (Abdo et al. 2010).

The optical band is quite narrow in comparison to the other spectral bands over the entire EM spectrum. Nevertheless it helps us obtain important information regarding non-thermal synchrotron emission, as well as possible thermal emission from accretion disc. In general on STV and LTV time-scales, spectral trends of bluer-when-brighter (BWB) in BL Lacs and redder-when-brighter (RWB) in FSRQs have been observed, although occasionally opposite trends are also detected in some blazars (e.g. Gu et al. 2006; Gaur et al. 2012b; Isler et al. 2017, and references therein). In recent times, extensive studies on blazar optical variability on diverse time-scales have been carried out using observations from both space and ground based telescopes. The results demonstrate that the general nature of the LTV is mostly characterized by substantial change in the flux, which are occasionally accompanied by sudden flares and quasi-periodic oscillations (Bhatta et al. 2023). The blazars light curves often show normal or log-normal flux distribution (see Bhatta 2021). In shorter time-scales similar variability properties with power-law spectral density were reported in a large number of TESS blazar light curves (Pininti et al. 2023).

On 2022 June 13, the third data release (DR3) of Gaia mission was made available for public (Gaia Collaboration et al. 2022). The Gaia uses astrometric observations of optical counterparts of sources from the radio catalogue International Celestial Reference Frame (ICRF) (Charlot et al. 2020) to adjust its reference frame. A set of ∼ 1.6 million quasi-stellar objects (QSOs) constitutes the third version of the Gaia celestial reference frame (Gaia-CRF3). 398 sources not included in the ICRF list were mentioned as potential sources for Very Long Baseline Interferometry (VLBI) observations (Bourda et al. 2010). From this list, 105 sources were observed with a global VLBI array which detected 47 point-like sources on VLBI scales and classified as AGNs (Bourda et al. 2011).

From 2013 to 2019, we conducted optical photometric observations in the V and R bands for 12 blazars selected from a sample of 47 AGNs detected in Bourda et al. (2011). Of the 12 blazars studied, 6 are classified as BL Lacs, 4 as FSRQs, and 2 exhibit characteristics of both BL Lacs and FSRQs. The detailed information about these blazars: their International Earth Rotation Service (IERS) name and observations log are provided in Table 1. In this work, we conduct a thorough investigation of the optical flux and colour variability properties of these blazars on both short-term and long-term time-scales.

Table 1.

Optical observation log for the sample blazars.

IERS nameαJ2000.0(°)δJ2000.0(°)zAGNObservation durationNumber of observations
TypeDateDateVR
0049+00313.023210.5939300.399714FSRQ2013 Sept 062019 Aug 0830, 40
0907+336137.6543133.490120.354000BL Lac2013 Apr 142019 Apr 0639, 42
1034+574159.4346157.198781.095700BL Lac2013 July 092019 Apr 0747, 47
1212+467183.7914346.454200.720154FSRQ2013 July 092019 Mar 3150, 50
1242+574191.2916757.165100.998229BL Lac2014 Apr 022019 Aug 0649, 57
1429+249217.8578724.705750.406590BL Lac/FSRQ2014 Apr 022019 Aug 0640, 44
1535+231234.3104323.011270.462515BL Lac/FSRQ2014 Apr 042019 Aug 0643, 44
1556+335239.7299333.388501.653598FSRQ2014 Apr 042019 Aug 0641, 50
1607+604242.0856060.307840.178000BL Lac2013 July 082019 Aug 0642, 48
1612+378243.6956437.768691.531239FSRQ2013 July 092019 Aug 0637, 42
1722+119261.2681011.870960.340000BL Lac2013 July 092019 Aug 0843, 47
1741+597265.6333459.751860.415000BL Lac2013 July 092019 Aug 0755, 62
IERS nameαJ2000.0(°)δJ2000.0(°)zAGNObservation durationNumber of observations
TypeDateDateVR
0049+00313.023210.5939300.399714FSRQ2013 Sept 062019 Aug 0830, 40
0907+336137.6543133.490120.354000BL Lac2013 Apr 142019 Apr 0639, 42
1034+574159.4346157.198781.095700BL Lac2013 July 092019 Apr 0747, 47
1212+467183.7914346.454200.720154FSRQ2013 July 092019 Mar 3150, 50
1242+574191.2916757.165100.998229BL Lac2014 Apr 022019 Aug 0649, 57
1429+249217.8578724.705750.406590BL Lac/FSRQ2014 Apr 022019 Aug 0640, 44
1535+231234.3104323.011270.462515BL Lac/FSRQ2014 Apr 042019 Aug 0643, 44
1556+335239.7299333.388501.653598FSRQ2014 Apr 042019 Aug 0641, 50
1607+604242.0856060.307840.178000BL Lac2013 July 082019 Aug 0642, 48
1612+378243.6956437.768691.531239FSRQ2013 July 092019 Aug 0637, 42
1722+119261.2681011.870960.340000BL Lac2013 July 092019 Aug 0843, 47
1741+597265.6333459.751860.415000BL Lac2013 July 092019 Aug 0755, 62
Table 1.

Optical observation log for the sample blazars.

IERS nameαJ2000.0(°)δJ2000.0(°)zAGNObservation durationNumber of observations
TypeDateDateVR
0049+00313.023210.5939300.399714FSRQ2013 Sept 062019 Aug 0830, 40
0907+336137.6543133.490120.354000BL Lac2013 Apr 142019 Apr 0639, 42
1034+574159.4346157.198781.095700BL Lac2013 July 092019 Apr 0747, 47
1212+467183.7914346.454200.720154FSRQ2013 July 092019 Mar 3150, 50
1242+574191.2916757.165100.998229BL Lac2014 Apr 022019 Aug 0649, 57
1429+249217.8578724.705750.406590BL Lac/FSRQ2014 Apr 022019 Aug 0640, 44
1535+231234.3104323.011270.462515BL Lac/FSRQ2014 Apr 042019 Aug 0643, 44
1556+335239.7299333.388501.653598FSRQ2014 Apr 042019 Aug 0641, 50
1607+604242.0856060.307840.178000BL Lac2013 July 082019 Aug 0642, 48
1612+378243.6956437.768691.531239FSRQ2013 July 092019 Aug 0637, 42
1722+119261.2681011.870960.340000BL Lac2013 July 092019 Aug 0843, 47
1741+597265.6333459.751860.415000BL Lac2013 July 092019 Aug 0755, 62
IERS nameαJ2000.0(°)δJ2000.0(°)zAGNObservation durationNumber of observations
TypeDateDateVR
0049+00313.023210.5939300.399714FSRQ2013 Sept 062019 Aug 0830, 40
0907+336137.6543133.490120.354000BL Lac2013 Apr 142019 Apr 0639, 42
1034+574159.4346157.198781.095700BL Lac2013 July 092019 Apr 0747, 47
1212+467183.7914346.454200.720154FSRQ2013 July 092019 Mar 3150, 50
1242+574191.2916757.165100.998229BL Lac2014 Apr 022019 Aug 0649, 57
1429+249217.8578724.705750.406590BL Lac/FSRQ2014 Apr 022019 Aug 0640, 44
1535+231234.3104323.011270.462515BL Lac/FSRQ2014 Apr 042019 Aug 0643, 44
1556+335239.7299333.388501.653598FSRQ2014 Apr 042019 Aug 0641, 50
1607+604242.0856060.307840.178000BL Lac2013 July 082019 Aug 0642, 48
1612+378243.6956437.768691.531239FSRQ2013 July 092019 Aug 0637, 42
1722+119261.2681011.870960.340000BL Lac2013 July 092019 Aug 0843, 47
1741+597265.6333459.751860.415000BL Lac2013 July 092019 Aug 0755, 62

The paper is structured as follows. In Section 2, we describe our new photometric observations. The detailed description of various analysis techniques used is explained in Section 3. Section 4 gives the results of individual AGN. Discussion and Conclusions are given in Section 5.

2 OBSERVATIONS AND PHOTOMETRY

The optical photometric observations of the blazars were performed using eight telescopes located in Europe. Out of these eight telescopes, two are stationed at Astronomical Station Vidojevica (ASV) of Astronomical Observatory of Belgrade, Serbia; one robotic Joan Oró telescope (TJO) at the Montsec Astronomical Observatory, Catalonia, Spain; four telescopes in Bulgaria of which three at Rozhen, NAO and one in Belogradchik; and one telescope at Leopold Figl observatory at Vienna, Austria. The details about these telescopes, their mirror aperture, mounted CCD cameras and optical filters are presented in Table 2.

Table 2.

Details of telescopes and instruments.

TelescopeASV 60 cmASV 1.4 mTJO 80 cmRozhen 2 m
CCD modelApogee Alta E47Andor iKon-LAndor iKon-LAndor iKon-L
Apogee Alta U42Apogee Alta U42FLI PL4240-1-BVersArray:1300B
SBIG ST10 XME
Chip size (pixels)1024 × 10242048 × 20482048 × 20482048 × 2048
2048 × 20482048 × 20482048 × 20481340 × 1300
2184 × 1472
Scale (arcsec pixel–1)0.450.2440.3610.176
0.4660.2440.3640.258
0.23
Field (arcmin2)7.6 × 7.68.3 × 8.312.3 × 12.36.0 × 6.0
15.8 × 15.88.3 × 8.312.3 × 12.35.76 × 5.76
8.4 × 5.7
Gain (⁠|$\rm {e}^{-}$|/ADU)2.56111.7
1.251.251.51
1.2
Read-out Noise (⁠|$\rm {e}^{-}$| rms)37.2713.76
12.512.56.62
8.8
Typical seeing (arcsec)1 – 21 – 21 – 21.5 – 2.5
TelescopeLFOA 1.5 mRozhen 50/70 cmRozhen 60 cmBelogradchik 60 cm
CCD modelSBIG ST10 XMEFLI PL16803FLI PL9000FLI PL9000
Chip size (pixels)2184 × 14724096 × 40963056 × 30563056 × 3056
Scale (arcsec/pixel)0.151.0790.330.33
Field (arcmin2)5.6 × 3.873.66 × 73.6616.8 × 16.816.8 × 16.8
Gain (⁠|$\rm {e}^{-}$|/ADU)1.42111
Read-out noise (⁠|$\rm {e}^{-}$| rms)13.38999
Typical seeing (arcsec)2 – 42 – 41.5 – 2.51.5 – 2.5
TelescopeASV 60 cmASV 1.4 mTJO 80 cmRozhen 2 m
CCD modelApogee Alta E47Andor iKon-LAndor iKon-LAndor iKon-L
Apogee Alta U42Apogee Alta U42FLI PL4240-1-BVersArray:1300B
SBIG ST10 XME
Chip size (pixels)1024 × 10242048 × 20482048 × 20482048 × 2048
2048 × 20482048 × 20482048 × 20481340 × 1300
2184 × 1472
Scale (arcsec pixel–1)0.450.2440.3610.176
0.4660.2440.3640.258
0.23
Field (arcmin2)7.6 × 7.68.3 × 8.312.3 × 12.36.0 × 6.0
15.8 × 15.88.3 × 8.312.3 × 12.35.76 × 5.76
8.4 × 5.7
Gain (⁠|$\rm {e}^{-}$|/ADU)2.56111.7
1.251.251.51
1.2
Read-out Noise (⁠|$\rm {e}^{-}$| rms)37.2713.76
12.512.56.62
8.8
Typical seeing (arcsec)1 – 21 – 21 – 21.5 – 2.5
TelescopeLFOA 1.5 mRozhen 50/70 cmRozhen 60 cmBelogradchik 60 cm
CCD modelSBIG ST10 XMEFLI PL16803FLI PL9000FLI PL9000
Chip size (pixels)2184 × 14724096 × 40963056 × 30563056 × 3056
Scale (arcsec/pixel)0.151.0790.330.33
Field (arcmin2)5.6 × 3.873.66 × 73.6616.8 × 16.816.8 × 16.8
Gain (⁠|$\rm {e}^{-}$|/ADU)1.42111
Read-out noise (⁠|$\rm {e}^{-}$| rms)13.38999
Typical seeing (arcsec)2 – 42 – 41.5 – 2.51.5 – 2.5
Table 2.

Details of telescopes and instruments.

TelescopeASV 60 cmASV 1.4 mTJO 80 cmRozhen 2 m
CCD modelApogee Alta E47Andor iKon-LAndor iKon-LAndor iKon-L
Apogee Alta U42Apogee Alta U42FLI PL4240-1-BVersArray:1300B
SBIG ST10 XME
Chip size (pixels)1024 × 10242048 × 20482048 × 20482048 × 2048
2048 × 20482048 × 20482048 × 20481340 × 1300
2184 × 1472
Scale (arcsec pixel–1)0.450.2440.3610.176
0.4660.2440.3640.258
0.23
Field (arcmin2)7.6 × 7.68.3 × 8.312.3 × 12.36.0 × 6.0
15.8 × 15.88.3 × 8.312.3 × 12.35.76 × 5.76
8.4 × 5.7
Gain (⁠|$\rm {e}^{-}$|/ADU)2.56111.7
1.251.251.51
1.2
Read-out Noise (⁠|$\rm {e}^{-}$| rms)37.2713.76
12.512.56.62
8.8
Typical seeing (arcsec)1 – 21 – 21 – 21.5 – 2.5
TelescopeLFOA 1.5 mRozhen 50/70 cmRozhen 60 cmBelogradchik 60 cm
CCD modelSBIG ST10 XMEFLI PL16803FLI PL9000FLI PL9000
Chip size (pixels)2184 × 14724096 × 40963056 × 30563056 × 3056
Scale (arcsec/pixel)0.151.0790.330.33
Field (arcmin2)5.6 × 3.873.66 × 73.6616.8 × 16.816.8 × 16.8
Gain (⁠|$\rm {e}^{-}$|/ADU)1.42111
Read-out noise (⁠|$\rm {e}^{-}$| rms)13.38999
Typical seeing (arcsec)2 – 42 – 41.5 – 2.51.5 – 2.5
TelescopeASV 60 cmASV 1.4 mTJO 80 cmRozhen 2 m
CCD modelApogee Alta E47Andor iKon-LAndor iKon-LAndor iKon-L
Apogee Alta U42Apogee Alta U42FLI PL4240-1-BVersArray:1300B
SBIG ST10 XME
Chip size (pixels)1024 × 10242048 × 20482048 × 20482048 × 2048
2048 × 20482048 × 20482048 × 20481340 × 1300
2184 × 1472
Scale (arcsec pixel–1)0.450.2440.3610.176
0.4660.2440.3640.258
0.23
Field (arcmin2)7.6 × 7.68.3 × 8.312.3 × 12.36.0 × 6.0
15.8 × 15.88.3 × 8.312.3 × 12.35.76 × 5.76
8.4 × 5.7
Gain (⁠|$\rm {e}^{-}$|/ADU)2.56111.7
1.251.251.51
1.2
Read-out Noise (⁠|$\rm {e}^{-}$| rms)37.2713.76
12.512.56.62
8.8
Typical seeing (arcsec)1 – 21 – 21 – 21.5 – 2.5
TelescopeLFOA 1.5 mRozhen 50/70 cmRozhen 60 cmBelogradchik 60 cm
CCD modelSBIG ST10 XMEFLI PL16803FLI PL9000FLI PL9000
Chip size (pixels)2184 × 14724096 × 40963056 × 30563056 × 3056
Scale (arcsec/pixel)0.151.0790.330.33
Field (arcmin2)5.6 × 3.873.66 × 73.6616.8 × 16.816.8 × 16.8
Gain (⁠|$\rm {e}^{-}$|/ADU)1.42111
Read-out noise (⁠|$\rm {e}^{-}$| rms)13.38999
Typical seeing (arcsec)2 – 42 – 41.5 – 2.51.5 – 2.5

During each observing night, two or more CCD image frames of the blazars were acquired in both the V and R bands. The image processing was performed using IRAF1 scripting language (ascl: 9911.002) (Tody 1986, 1993). Bias, dark, and flat-field frames were obtained for every observing night, which were used for advanced image calibration and bad pixel mapping (dark frames for hot, and flat-field for dead pixel map). In addition, the corrections for cosmic rays were performed using Laplacian Cosmic Ray Identification method (van Dokkum 2001).

We performed differential photometry using Maxim DL software for determining the brightness of the sources with the aperture radius of ∼6 arcsec. The details about differential photometry and selection of comparison and control stars are presented in papers Taris et al. (2018), and Jovanović (2019). The PSF ugriz (point spread function u, g, r, i, and z) magnitudes for the comparison and control stars were taken from the Sloan Digital Sky Survey Data Release 14 (SDSS DR14) catalogue (Abolfathi et al. 2018). The magnitudes in V and R bands were calculated from g, r, and i band magnitudes using the equations given by Chonis & Gaskell (2008). Except for source 1722+119 magnitudes V and R are taken from paper Doroshenko et al. (2014). The light curves of 1741+597 in V and R bands are presented in Fig. 1, for all sources the ligth curves are presented in Apendix A, and in Table 3.

V (green diamonds) and R (red squares) band light curves of 1741+597 from 2013 July to 2019 August.
Figure 1.

V (green diamonds) and R (red squares) band light curves of 1741+597 from 2013 July to 2019 August.

3 ANALYSIS METHODS

To test for the presence of variability in the source, we performed two statistics: Abbé’s criterion and F-test. Both of the tests require normal distribution of data (in some cases the Abbé’ criterion can be applied when data distribution is different from normal (Lemeshko 2006)). We consider a light curve of the source as variable if the variability is detected by both test statistics. Before applying these statistical tests, we used 3σ rule (Pukelsheim 1994) and Shapiro–Wilk test of normality (Razali, Wah et al. 2011). We discarded some of the data which were obtained under poor weather conditions. We concluded that the statistical methods which require normal distribution of data can be applied.

3.1 Abbé’s criterion

We used Abbé’s criterion to determine whether the elements of this sample are stochastically independent or not. Abbé’s criterion is intended for checking hypotheses that all the observed quantities in the sample have identical mathematical expectations. The criterion is often used for checking the absence of systematic changes in a series of measurements. Abbé’s statistic q is defined as the ratio of the Allan variance σAV and unbiased sample variance σD

(1)

where |$\bar{x}$| is the mean value of the magnitudes. If the sample size n ≥ 20, q is distributed approximately normally with a mean at 1.0, and with a variance of |$\frac{n-2}{(n-1)(n+1)}$| (Hald 1952; Strunov 2006). The Allan variance alone was used for testing variability of extra-galactic sources (e.g. Feissel-Vernier 2003; Gattano, Lambert & Le Bail 2018; Taris et al. 2018). Abbé’s criterion is for unevenly sampled data which in general are obtained by observations using ground based telescopes. This is a simple and effective method for analysing an unevenly sample of astronomical observations as described in Spano et al. (2011), Malkin (2013). In Abbé’s test, the critical point is defined as |$q_{\rm c}=1+u_{\alpha }/\sqrt{n+0.5(1+u_{\alpha })^{2}}$|⁠, where uα is quantile of normal distribution for the significance level α. The hypothesis about stochastic independence of the sample units is accepted under q > qc, otherwise the elements of the sample cannot be accepted as random and independent. In our case the sample consists of differences of magnitudes of comparison stars (A and B) and target blazars. Abbé’s statistics which correspond to that data are qA, and qB. If qA, and qB are lower than qC, for the significance level α = 0.001, we conclude that there are statistically significant systematic variations present in the data.

3.2 F-test

We used F-test to determine the existence of brightness variability in the sample of blazars by following the method descibed in (e.g. de Diego 2010; Gupta et al. 2017a; Jovanović 2019, and references therein). We investigated variances of two data sets X and Y to test if they are equal to each other. The tested hypothesis is H0: VarX = VarY, and alternative H: VarX > VarY. The corresponding statistic is

(2)

To implement the F-test to our sample, we calculate statistics: FA, FB, and its ratio FA/B. The indices of statistics correspond to the data sets which are tested. X refers to the differences of magnitudes of targets and comparison stars A or B, the statistics are FA or FB, respectively. Y refers to the differences of magnitudes of comparison stars. The three |$F_{A,\, B,\, A/B}$| statistics are compared with the critical values. The FA/B value should be ∼1, because it is expected that the tested brightness should be variable in the same manner for both comparison stars (A and B). When the FA and FB values are greater than critical ones (which correspond to the significance level 0.001, and number of freedom n − 1, where n is the sample size), the null hypothesis (of non-variability) is discarded.

3.3 Amplitude of variability

The percentage of magnitude variations can be calculated by using the variability amplitude parameter (VAP), which was introduced by Heidt & Wagner (1996) and defined as

(3)

where MMAX and MMIN are the maximum, and minimum magnitude of the sources, and σ is the average measurement error.

The statistical results are listed in Table 4. The columns are: name of sources, band, number of data, results of Abbé criterion, results of F-test, maximum (MMAX), minimum (MMIN), average (MAV) magnitudes, amplitudes of full observations (A = MMAXMMIN), and VAP.

Table 3.

Examples of observations from 2013 to 2019 in V and R bands.

NameJulian date (JD)MagnitudeErrorband
IERS B0049+0032456542.4793816.2960.021V
IERS B0049+0032456542.4941015.8770.014R
IERS B0049+0032457011.2927415.8490.009R
IERS B0049+0032457011.2941416.1790.012V
IERS B0049+0032457011.3478015.9470.056R
IERS B0049+0032457011.3497016.3030.005V
NameJulian date (JD)MagnitudeErrorband
IERS B0049+0032456542.4793816.2960.021V
IERS B0049+0032456542.4941015.8770.014R
IERS B0049+0032457011.2927415.8490.009R
IERS B0049+0032457011.2941416.1790.012V
IERS B0049+0032457011.3478015.9470.056R
IERS B0049+0032457011.3497016.3030.005V

Note. This photometric data table is available in its entirety in a machine-readable form in the online journal. A portion is shown here for guidance regarding its form and content.

Table 3.

Examples of observations from 2013 to 2019 in V and R bands.

NameJulian date (JD)MagnitudeErrorband
IERS B0049+0032456542.4793816.2960.021V
IERS B0049+0032456542.4941015.8770.014R
IERS B0049+0032457011.2927415.8490.009R
IERS B0049+0032457011.2941416.1790.012V
IERS B0049+0032457011.3478015.9470.056R
IERS B0049+0032457011.3497016.3030.005V
NameJulian date (JD)MagnitudeErrorband
IERS B0049+0032456542.4793816.2960.021V
IERS B0049+0032456542.4941015.8770.014R
IERS B0049+0032457011.2927415.8490.009R
IERS B0049+0032457011.2941416.1790.012V
IERS B0049+0032457011.3478015.9470.056R
IERS B0049+0032457011.3497016.3030.005V

Note. This photometric data table is available in its entirety in a machine-readable form in the online journal. A portion is shown here for guidance regarding its form and content.

Table 4.

Statistical results of objects variability.

NameBandnAbbé’s criterionF-testMMAXMMINMAV ± σMAVAPVariable
qA, qB, qcFA/B, FA, FB, Fc(mag)(mag)(mag)(mag)per cent
0049+003V300.18, 0.15, 0.481.30, 20.64, 15.92, 3.2916.73116.16616.461 ± 0.1850.56556.40V
R400.15, 0.15, 0.541.23, 48.16, 39.14, 2.7616.29215.83516.100 ± 0.1470.45745.61V
0907+336V360.18, 0.19, 0.521.05, 11.54, 11.02, 2.9316.70415.89916.226 ± 0.1800.80580.51V
R390.13, 0.09, 0.541.05, 25.25, 24.10, 2.8016.44515.55915.911 ± 0.1910.88688.56V
1034+574V470.20, 0.21, 0.571.00, 83.77, 83.96, 2.5416.91915.54516.086 ± 0.3351.374137.16V
R470.23, 0.22, 0.571.01, 96.54, 97.13, 2.5416.50415.25315.744 ± 0.3281.251124.82V
1212+467V490.23, 0.23, 0.581.02, 51.11, 50.25, 2.4918.15017.28217.645 ± 0.2030.86886.13V
R490.19, 0.17, 0.581.06, 36.06, 33.89, 2.4917.90017.18117.499 ± 0.1860.71971.54V
1242+574V430.25, 0.26, 0.561.04, 28.77, 27.66, 2.6618.16717.37117.710 ± 0.2230.79678.85V
R510.24, 0.27, 0.591.10, 58.77, 64.44, 2.4417.81616.99017.353 ± 0.2290.82682.01V
1429+249V330.49, 0.51, 0.501.32, 3.49, 4.61, 3.0917.61417.13417.417 ± 0.107NV
R370.51, 0.50, 0.521.10, 2.56, 2.82, 2.8917.34317.07617.197 ± 0.073NV
1535+231V430.30, 0.31, 0.561.11, 31.34, 34.81, 2.6619.03618.13318.472 ± 0.2330.90389.81V
R440.15, 0.18, 0.561.12, 16.41, 18.34, 2.6318.61017.79718.193 ± 0.2140.81380.68V
1556+335V410.43, 0.57, 0.551.18, 2.80, 2.37, 2.7317.58117.35017.459 ± 0.064NV
R500.77, 0.63, 0.581.44, 1.23, 1.77, 2.4617.08016.88616.988 ± 0.052NV
1607+604V420.26, 0.27, 0.551.12, 23.81, 21.33, 2.6917.67717.15217.400 ± 0.1270.52552.18V
R480.38, 0.41, 0.581.23, 8.55, 6.97, 2.5117.14016.74716.956 ± 0.0950.39339.02V
1612+378V310.15, 0.15, 0.491.27, 12.90, 10.16, 3.2217.12816.68616.895 ± 0.1370.44244.16V
R360.11, 0.10, 0.521.02, 13.16, 12.93, 2.9316.66116.27116.474 ± 0.1110.39038.94V
1722+119V360.11, 0.12, 0.521.05, 202.59, 192.64, 2.9316.78014.88815.571 ± 0.4671.892189.06V
R400.11, 0.11, 0.541.00, 1389.46, 1387.88, 2.7616.34314.37115.083 ± 0.4771.972197.16V
1741+597V550.26, 0.27, 0.601.05, 40.03, 41.84, 2.3618.43516.83717.975 ± 0.3131.598159.37V
R620.21, 0.21, 0.621.03, 33.84, 34.79, 2.2418.14516.44717.513 ± 0.3101.698169.71V
NameBandnAbbé’s criterionF-testMMAXMMINMAV ± σMAVAPVariable
qA, qB, qcFA/B, FA, FB, Fc(mag)(mag)(mag)(mag)per cent
0049+003V300.18, 0.15, 0.481.30, 20.64, 15.92, 3.2916.73116.16616.461 ± 0.1850.56556.40V
R400.15, 0.15, 0.541.23, 48.16, 39.14, 2.7616.29215.83516.100 ± 0.1470.45745.61V
0907+336V360.18, 0.19, 0.521.05, 11.54, 11.02, 2.9316.70415.89916.226 ± 0.1800.80580.51V
R390.13, 0.09, 0.541.05, 25.25, 24.10, 2.8016.44515.55915.911 ± 0.1910.88688.56V
1034+574V470.20, 0.21, 0.571.00, 83.77, 83.96, 2.5416.91915.54516.086 ± 0.3351.374137.16V
R470.23, 0.22, 0.571.01, 96.54, 97.13, 2.5416.50415.25315.744 ± 0.3281.251124.82V
1212+467V490.23, 0.23, 0.581.02, 51.11, 50.25, 2.4918.15017.28217.645 ± 0.2030.86886.13V
R490.19, 0.17, 0.581.06, 36.06, 33.89, 2.4917.90017.18117.499 ± 0.1860.71971.54V
1242+574V430.25, 0.26, 0.561.04, 28.77, 27.66, 2.6618.16717.37117.710 ± 0.2230.79678.85V
R510.24, 0.27, 0.591.10, 58.77, 64.44, 2.4417.81616.99017.353 ± 0.2290.82682.01V
1429+249V330.49, 0.51, 0.501.32, 3.49, 4.61, 3.0917.61417.13417.417 ± 0.107NV
R370.51, 0.50, 0.521.10, 2.56, 2.82, 2.8917.34317.07617.197 ± 0.073NV
1535+231V430.30, 0.31, 0.561.11, 31.34, 34.81, 2.6619.03618.13318.472 ± 0.2330.90389.81V
R440.15, 0.18, 0.561.12, 16.41, 18.34, 2.6318.61017.79718.193 ± 0.2140.81380.68V
1556+335V410.43, 0.57, 0.551.18, 2.80, 2.37, 2.7317.58117.35017.459 ± 0.064NV
R500.77, 0.63, 0.581.44, 1.23, 1.77, 2.4617.08016.88616.988 ± 0.052NV
1607+604V420.26, 0.27, 0.551.12, 23.81, 21.33, 2.6917.67717.15217.400 ± 0.1270.52552.18V
R480.38, 0.41, 0.581.23, 8.55, 6.97, 2.5117.14016.74716.956 ± 0.0950.39339.02V
1612+378V310.15, 0.15, 0.491.27, 12.90, 10.16, 3.2217.12816.68616.895 ± 0.1370.44244.16V
R360.11, 0.10, 0.521.02, 13.16, 12.93, 2.9316.66116.27116.474 ± 0.1110.39038.94V
1722+119V360.11, 0.12, 0.521.05, 202.59, 192.64, 2.9316.78014.88815.571 ± 0.4671.892189.06V
R400.11, 0.11, 0.541.00, 1389.46, 1387.88, 2.7616.34314.37115.083 ± 0.4771.972197.16V
1741+597V550.26, 0.27, 0.601.05, 40.03, 41.84, 2.3618.43516.83717.975 ± 0.3131.598159.37V
R620.21, 0.21, 0.621.03, 33.84, 34.79, 2.2418.14516.44717.513 ± 0.3101.698169.71V

Note. In the Variable column, V represents variable, and NV non-variable source.

Table 4.

Statistical results of objects variability.

NameBandnAbbé’s criterionF-testMMAXMMINMAV ± σMAVAPVariable
qA, qB, qcFA/B, FA, FB, Fc(mag)(mag)(mag)(mag)per cent
0049+003V300.18, 0.15, 0.481.30, 20.64, 15.92, 3.2916.73116.16616.461 ± 0.1850.56556.40V
R400.15, 0.15, 0.541.23, 48.16, 39.14, 2.7616.29215.83516.100 ± 0.1470.45745.61V
0907+336V360.18, 0.19, 0.521.05, 11.54, 11.02, 2.9316.70415.89916.226 ± 0.1800.80580.51V
R390.13, 0.09, 0.541.05, 25.25, 24.10, 2.8016.44515.55915.911 ± 0.1910.88688.56V
1034+574V470.20, 0.21, 0.571.00, 83.77, 83.96, 2.5416.91915.54516.086 ± 0.3351.374137.16V
R470.23, 0.22, 0.571.01, 96.54, 97.13, 2.5416.50415.25315.744 ± 0.3281.251124.82V
1212+467V490.23, 0.23, 0.581.02, 51.11, 50.25, 2.4918.15017.28217.645 ± 0.2030.86886.13V
R490.19, 0.17, 0.581.06, 36.06, 33.89, 2.4917.90017.18117.499 ± 0.1860.71971.54V
1242+574V430.25, 0.26, 0.561.04, 28.77, 27.66, 2.6618.16717.37117.710 ± 0.2230.79678.85V
R510.24, 0.27, 0.591.10, 58.77, 64.44, 2.4417.81616.99017.353 ± 0.2290.82682.01V
1429+249V330.49, 0.51, 0.501.32, 3.49, 4.61, 3.0917.61417.13417.417 ± 0.107NV
R370.51, 0.50, 0.521.10, 2.56, 2.82, 2.8917.34317.07617.197 ± 0.073NV
1535+231V430.30, 0.31, 0.561.11, 31.34, 34.81, 2.6619.03618.13318.472 ± 0.2330.90389.81V
R440.15, 0.18, 0.561.12, 16.41, 18.34, 2.6318.61017.79718.193 ± 0.2140.81380.68V
1556+335V410.43, 0.57, 0.551.18, 2.80, 2.37, 2.7317.58117.35017.459 ± 0.064NV
R500.77, 0.63, 0.581.44, 1.23, 1.77, 2.4617.08016.88616.988 ± 0.052NV
1607+604V420.26, 0.27, 0.551.12, 23.81, 21.33, 2.6917.67717.15217.400 ± 0.1270.52552.18V
R480.38, 0.41, 0.581.23, 8.55, 6.97, 2.5117.14016.74716.956 ± 0.0950.39339.02V
1612+378V310.15, 0.15, 0.491.27, 12.90, 10.16, 3.2217.12816.68616.895 ± 0.1370.44244.16V
R360.11, 0.10, 0.521.02, 13.16, 12.93, 2.9316.66116.27116.474 ± 0.1110.39038.94V
1722+119V360.11, 0.12, 0.521.05, 202.59, 192.64, 2.9316.78014.88815.571 ± 0.4671.892189.06V
R400.11, 0.11, 0.541.00, 1389.46, 1387.88, 2.7616.34314.37115.083 ± 0.4771.972197.16V
1741+597V550.26, 0.27, 0.601.05, 40.03, 41.84, 2.3618.43516.83717.975 ± 0.3131.598159.37V
R620.21, 0.21, 0.621.03, 33.84, 34.79, 2.2418.14516.44717.513 ± 0.3101.698169.71V
NameBandnAbbé’s criterionF-testMMAXMMINMAV ± σMAVAPVariable
qA, qB, qcFA/B, FA, FB, Fc(mag)(mag)(mag)(mag)per cent
0049+003V300.18, 0.15, 0.481.30, 20.64, 15.92, 3.2916.73116.16616.461 ± 0.1850.56556.40V
R400.15, 0.15, 0.541.23, 48.16, 39.14, 2.7616.29215.83516.100 ± 0.1470.45745.61V
0907+336V360.18, 0.19, 0.521.05, 11.54, 11.02, 2.9316.70415.89916.226 ± 0.1800.80580.51V
R390.13, 0.09, 0.541.05, 25.25, 24.10, 2.8016.44515.55915.911 ± 0.1910.88688.56V
1034+574V470.20, 0.21, 0.571.00, 83.77, 83.96, 2.5416.91915.54516.086 ± 0.3351.374137.16V
R470.23, 0.22, 0.571.01, 96.54, 97.13, 2.5416.50415.25315.744 ± 0.3281.251124.82V
1212+467V490.23, 0.23, 0.581.02, 51.11, 50.25, 2.4918.15017.28217.645 ± 0.2030.86886.13V
R490.19, 0.17, 0.581.06, 36.06, 33.89, 2.4917.90017.18117.499 ± 0.1860.71971.54V
1242+574V430.25, 0.26, 0.561.04, 28.77, 27.66, 2.6618.16717.37117.710 ± 0.2230.79678.85V
R510.24, 0.27, 0.591.10, 58.77, 64.44, 2.4417.81616.99017.353 ± 0.2290.82682.01V
1429+249V330.49, 0.51, 0.501.32, 3.49, 4.61, 3.0917.61417.13417.417 ± 0.107NV
R370.51, 0.50, 0.521.10, 2.56, 2.82, 2.8917.34317.07617.197 ± 0.073NV
1535+231V430.30, 0.31, 0.561.11, 31.34, 34.81, 2.6619.03618.13318.472 ± 0.2330.90389.81V
R440.15, 0.18, 0.561.12, 16.41, 18.34, 2.6318.61017.79718.193 ± 0.2140.81380.68V
1556+335V410.43, 0.57, 0.551.18, 2.80, 2.37, 2.7317.58117.35017.459 ± 0.064NV
R500.77, 0.63, 0.581.44, 1.23, 1.77, 2.4617.08016.88616.988 ± 0.052NV
1607+604V420.26, 0.27, 0.551.12, 23.81, 21.33, 2.6917.67717.15217.400 ± 0.1270.52552.18V
R480.38, 0.41, 0.581.23, 8.55, 6.97, 2.5117.14016.74716.956 ± 0.0950.39339.02V
1612+378V310.15, 0.15, 0.491.27, 12.90, 10.16, 3.2217.12816.68616.895 ± 0.1370.44244.16V
R360.11, 0.10, 0.521.02, 13.16, 12.93, 2.9316.66116.27116.474 ± 0.1110.39038.94V
1722+119V360.11, 0.12, 0.521.05, 202.59, 192.64, 2.9316.78014.88815.571 ± 0.4671.892189.06V
R400.11, 0.11, 0.541.00, 1389.46, 1387.88, 2.7616.34314.37115.083 ± 0.4771.972197.16V
1741+597V550.26, 0.27, 0.601.05, 40.03, 41.84, 2.3618.43516.83717.975 ± 0.3131.598159.37V
R620.21, 0.21, 0.621.03, 33.84, 34.79, 2.2418.14516.44717.513 ± 0.3101.698169.71V

Note. In the Variable column, V represents variable, and NV non-variable source.

3.4 Colour variability

In addition to the brightness variations, we also estimated colour variations of the blazars with respect to total duration of observations, and also with respect to R magnitude. Studying colour variations is of importance to characterize the nature of the variations in the blazars which help explain the dominant emission mechanism. For all the blazars, we generate diagrams of colour VR with respect to R magnitude (colour–magnitude diagram (CMD)), and colour (VR) with respect to time (Julian days). For linear regression, Pearson’s correlation coefficient with null hypothesis probability were estimated on the data of these CMDs and colour verses time plots. The positive slope, of linear regression of the data in CMD, is an indication of BWB, and negative are indications of RWB trend. The colour versus time and colour versus magnitude diagrams are presented for the most variable source in Figs 2 and 3, and for the all sources in Appendices  B and  C. The coefficients of linear regression (slope and intercept) and Pearson’s correlation coefficients with probability are given in Tables 5 and 6, for colour-time and CMDs, respectively. If Pearson’s coefficient r is positive and probability (of no correlation) P is lower than 0.05, we assume that the BWB colour-magnitude variation in source is present, if r is negative (and P < 0.05) we consider that RWB variation is present. In case of P > 0.95, we can conclude that the correlation is not present in colour-magnitude data. In other cases we can not conclude anything about behaviour of the process. In the similar manner as in Sections 3.1 and 3.2 we tested colour VR indices of objects control stars, and the results are presented in paper Jovanović, Damljanović & Taris (2023) – in Press.

The light curve of colour indices V − R variability during period 2013 July–2019 August of 1741+597. Details about the colour variability of all sources can be found in Table 5.
Figure 2.

The light curve of colour indices VR variability during period 2013 July–2019 August of 1741+597. Details about the colour variability of all sources can be found in Table 5.

The correlation between colour indices V − R and R-band magnitude of 1741+597. The colour bars indicate the progression of time. Details about the colour–magnitude correlations for all sources can be found in Table 6.
Figure 3.

The correlation between colour indices VR and R-band magnitude of 1741+597. The colour bars indicate the progression of time. Details about the colour–magnitude correlations for all sources can be found in Table 6.

Table 5.

The colour variations with respect to time.

SourceSlopeInterceptrP
(× 10−5)
0049+0034.0 ± 0.40.331 ± 0.0070.523.10 × 10−3
0907+336−4.7 ± 0.50.373 ± 0.005−0.536.00 × 10−4
1034+5741.0 ± 0.30.322 ± 0.0040.162.82 × 10−1
1212+467−2.3 ± 1.20.166 ± 0.012−0.152.97 × 10−1
1242+574−0.3 ± 0.50.393 ± 0.010−0.038.20 × 10−1
1429+2490.5 ± 0.50.205 ± 0.0090.067.19 × 10−1
1535+231−2.1 ± 1.50.277 ± 0.027−0.124.54 × 10−1
1556+3350.4 ± 0.50.465 ± 0.0090.067.34 × 10−1
1607+6044.1 ± 0.50.375 ± 0.0070.581.00 × 10−4
1612+3781.3 ± 0.50.417 ± 0.0060.231.72 × 10−1
1722+1190.1 ± 0.30.427 ± 0.0050.028.77 × 10−1
1741+597−9.2 ± 0.60.644 ± 0.012−0.791.46 × 10−12
SourceSlopeInterceptrP
(× 10−5)
0049+0034.0 ± 0.40.331 ± 0.0070.523.10 × 10−3
0907+336−4.7 ± 0.50.373 ± 0.005−0.536.00 × 10−4
1034+5741.0 ± 0.30.322 ± 0.0040.162.82 × 10−1
1212+467−2.3 ± 1.20.166 ± 0.012−0.152.97 × 10−1
1242+574−0.3 ± 0.50.393 ± 0.010−0.038.20 × 10−1
1429+2490.5 ± 0.50.205 ± 0.0090.067.19 × 10−1
1535+231−2.1 ± 1.50.277 ± 0.027−0.124.54 × 10−1
1556+3350.4 ± 0.50.465 ± 0.0090.067.34 × 10−1
1607+6044.1 ± 0.50.375 ± 0.0070.581.00 × 10−4
1612+3781.3 ± 0.50.417 ± 0.0060.231.72 × 10−1
1722+1190.1 ± 0.30.427 ± 0.0050.028.77 × 10−1
1741+597−9.2 ± 0.60.644 ± 0.012−0.791.46 × 10−12

Notes. Slope, and Intercept of VR against JD-2456300 d,

r – Pearson’s coefficient and P – null hypothesis probability.

Table 5.

The colour variations with respect to time.

SourceSlopeInterceptrP
(× 10−5)
0049+0034.0 ± 0.40.331 ± 0.0070.523.10 × 10−3
0907+336−4.7 ± 0.50.373 ± 0.005−0.536.00 × 10−4
1034+5741.0 ± 0.30.322 ± 0.0040.162.82 × 10−1
1212+467−2.3 ± 1.20.166 ± 0.012−0.152.97 × 10−1
1242+574−0.3 ± 0.50.393 ± 0.010−0.038.20 × 10−1
1429+2490.5 ± 0.50.205 ± 0.0090.067.19 × 10−1
1535+231−2.1 ± 1.50.277 ± 0.027−0.124.54 × 10−1
1556+3350.4 ± 0.50.465 ± 0.0090.067.34 × 10−1
1607+6044.1 ± 0.50.375 ± 0.0070.581.00 × 10−4
1612+3781.3 ± 0.50.417 ± 0.0060.231.72 × 10−1
1722+1190.1 ± 0.30.427 ± 0.0050.028.77 × 10−1
1741+597−9.2 ± 0.60.644 ± 0.012−0.791.46 × 10−12
SourceSlopeInterceptrP
(× 10−5)
0049+0034.0 ± 0.40.331 ± 0.0070.523.10 × 10−3
0907+336−4.7 ± 0.50.373 ± 0.005−0.536.00 × 10−4
1034+5741.0 ± 0.30.322 ± 0.0040.162.82 × 10−1
1212+467−2.3 ± 1.20.166 ± 0.012−0.152.97 × 10−1
1242+574−0.3 ± 0.50.393 ± 0.010−0.038.20 × 10−1
1429+2490.5 ± 0.50.205 ± 0.0090.067.19 × 10−1
1535+231−2.1 ± 1.50.277 ± 0.027−0.124.54 × 10−1
1556+3350.4 ± 0.50.465 ± 0.0090.067.34 × 10−1
1607+6044.1 ± 0.50.375 ± 0.0070.581.00 × 10−4
1612+3781.3 ± 0.50.417 ± 0.0060.231.72 × 10−1
1722+1190.1 ± 0.30.427 ± 0.0050.028.77 × 10−1
1741+597−9.2 ± 0.60.644 ± 0.012−0.791.46 × 10−12

Notes. Slope, and Intercept of VR against JD-2456300 d,

r – Pearson’s coefficient and P – null hypothesis probability.

Table 6.

The colour – magnitude dependencies.

SourceSlopeInterceptrP
0049+0030.189 ± 0.018−2.64 ± 0.290.561.40 × 10−3
0907+336−0.093 ± 0.0131.81 ± 0.20−0.391.38 × 10−2
1034+5740.033 ± 0.007−0.19 ± 0.110.276.67 × 10−2
1212+467−0.055 ± 0.0361.11 ± 0.63−0.124.07 × 10−1
1242+574−0.013 ± 0.0220.61 ± 0.38−0.048.11 × 10−1
1429+2490.226 ± 0.059−3.68 ± 1.020.241.34 × 10−2
1535+231−0.082 ± 0.0551.73 ± 1.01−0.134.11 × 10−1
1556+335−0.096 ± 0.0602.11 ± 1.01−0.124.64 × 10−1
1607+6040.302 ± 0.038−4.69 ± 0.640.561.00 × 10−4
1612+3780.175 ± 0.022−2.44 ± 0.360.611.00 × 10−4
1722+1190.024 ± 0.0050.08 ± 0.070.371.41 × 10−2
1741+5970.121 ± 0.007−1.60 ± 0.120.861.43 × 10−16
SourceSlopeInterceptrP
0049+0030.189 ± 0.018−2.64 ± 0.290.561.40 × 10−3
0907+336−0.093 ± 0.0131.81 ± 0.20−0.391.38 × 10−2
1034+5740.033 ± 0.007−0.19 ± 0.110.276.67 × 10−2
1212+467−0.055 ± 0.0361.11 ± 0.63−0.124.07 × 10−1
1242+574−0.013 ± 0.0220.61 ± 0.38−0.048.11 × 10−1
1429+2490.226 ± 0.059−3.68 ± 1.020.241.34 × 10−2
1535+231−0.082 ± 0.0551.73 ± 1.01−0.134.11 × 10−1
1556+335−0.096 ± 0.0602.11 ± 1.01−0.124.64 × 10−1
1607+6040.302 ± 0.038−4.69 ± 0.640.561.00 × 10−4
1612+3780.175 ± 0.022−2.44 ± 0.360.611.00 × 10−4
1722+1190.024 ± 0.0050.08 ± 0.070.371.41 × 10−2
1741+5970.121 ± 0.007−1.60 ± 0.120.861.43 × 10−16

Note. Slope and Intercept of VR against R, r – Pearson’s coefficient, and P – null hypothesis probability.

Table 6.

The colour – magnitude dependencies.

SourceSlopeInterceptrP
0049+0030.189 ± 0.018−2.64 ± 0.290.561.40 × 10−3
0907+336−0.093 ± 0.0131.81 ± 0.20−0.391.38 × 10−2
1034+5740.033 ± 0.007−0.19 ± 0.110.276.67 × 10−2
1212+467−0.055 ± 0.0361.11 ± 0.63−0.124.07 × 10−1
1242+574−0.013 ± 0.0220.61 ± 0.38−0.048.11 × 10−1
1429+2490.226 ± 0.059−3.68 ± 1.020.241.34 × 10−2
1535+231−0.082 ± 0.0551.73 ± 1.01−0.134.11 × 10−1
1556+335−0.096 ± 0.0602.11 ± 1.01−0.124.64 × 10−1
1607+6040.302 ± 0.038−4.69 ± 0.640.561.00 × 10−4
1612+3780.175 ± 0.022−2.44 ± 0.360.611.00 × 10−4
1722+1190.024 ± 0.0050.08 ± 0.070.371.41 × 10−2
1741+5970.121 ± 0.007−1.60 ± 0.120.861.43 × 10−16
SourceSlopeInterceptrP
0049+0030.189 ± 0.018−2.64 ± 0.290.561.40 × 10−3
0907+336−0.093 ± 0.0131.81 ± 0.20−0.391.38 × 10−2
1034+5740.033 ± 0.007−0.19 ± 0.110.276.67 × 10−2
1212+467−0.055 ± 0.0361.11 ± 0.63−0.124.07 × 10−1
1242+574−0.013 ± 0.0220.61 ± 0.38−0.048.11 × 10−1
1429+2490.226 ± 0.059−3.68 ± 1.020.241.34 × 10−2
1535+231−0.082 ± 0.0551.73 ± 1.01−0.134.11 × 10−1
1556+335−0.096 ± 0.0602.11 ± 1.01−0.124.64 × 10−1
1607+6040.302 ± 0.038−4.69 ± 0.640.561.00 × 10−4
1612+3780.175 ± 0.022−2.44 ± 0.360.611.00 × 10−4
1722+1190.024 ± 0.0050.08 ± 0.070.371.41 × 10−2
1741+5970.121 ± 0.007−1.60 ± 0.120.861.43 × 10−16

Note. Slope and Intercept of VR against R, r – Pearson’s coefficient, and P – null hypothesis probability.

3.5 Spectral variability

The flux density can be described by power-law Fν ∝ να, where ν is frequency, and α is the spectral index. For the optical V and R bands, we calculated spectral index (similar to that presented for radio frequencies in paper Zajaček et al. 2019):

(4)

where FV and FR are fluxes of effective frequencies of V and R bands (νV and νR), respectively. With flux magnitude relation equation (4) can be written as

(5)

where c = log (ZPV/ZPR), ZPV, and ZPR are fluxes for magnitudes V = 0 and R = 0, respectively. The values νV, νR, ZPV, and ZPR were taken from Bessell, Castelli & Plez (1998).

The uncertainty of the spectral index σα was calculated as in Zajaček et al. (2019).

(6)

|$\sigma _{F_{V}}$| and |$\sigma _{F_{R}}$| are the uncertainties of flux densities at frequencies in V and R bands.

Our sample consists of three FSRQs, one ISP, and four HSPs sources. Spectral indices α in the optical band against synchrotron peak frequency (log ν) are presented in Fig. 6, with triangles are marked FSRQs, circle ISP, and squares HSPs. Synchrotron peak frequencies of these sources were taken from Mao & Urry (2017) and Chang et al. (2017, 2019).

The optical spectral index versus time and versus magnitude diagrams are presented for the most variable source in Figs 4 and 5, and for the remaining sources in Appendices  E and  F. The mean optical spectral index α is negative for FSRQ 1212+467 (α = −0.23 ± 0.44), lower than 1 for two HSPs 0907+336 (α = 0.80 ± 0.24), and 1034+574 (α = 0.82 ± 0.20), and greater than 1 for two FSRQs 1556+335 (α = 1.67 ± 0.30), and 1612+378 (α = 1.41 ± 0.20), ISP 1242+574 (α = 1.18 ± 0.45), and two HSPs 1722+119 (α = 1.40 ± 0.15), and 1741+597 (α = 1.87 ± 0.41). For four sources (0049+003, 1429+249, 1535+231, and 1607+604) for which the synchrotron peak frequency is not available, their sub-class could not be determined, but the α is calculated and the average values are 1.22 ± 0.30, 0.16 ± 0.36, 0.35 ± 0.73, and 1.51 ± 0.40, respectively.

The light curve of optical spectral indices variability during period 2013 July–2019 August of 1741+597. Details about the α variability of all sources can be found in Table 7.
Figure 4.

The light curve of optical spectral indices variability during period 2013 July–2019 August of 1741+597. Details about the α variability of all sources can be found in Table 7.

The correlation between optical spectral indices and R-band magnitude of 1741+597. Details about the α–R magnitude correlations for all sources can be found in Table 8.
Figure 5.

The correlation between optical spectral indices and R-band magnitude of 1741+597. Details about the α–R magnitude correlations for all sources can be found in Table 8.

Average optical spectral index versus synchrotron peak frequency. Sources 0049+003, 1429+249, 1535+231, and 1607+604 are excluded because their sub-class could not be determined.
Figure 6.

Average optical spectral index versus synchrotron peak frequency. Sources 0049+003, 1429+249, 1535+231, and 1607+604 are excluded because their sub-class could not be determined.

3.6 SED

For nights when observations were obtained in the B, V, and R bands, the calibrated magnitudes of 12 blazars were dereddened by subtracting Galactic extinction AB, V, R (see Table 9). The presented values of AB, V, R were calculated using the NASA Extragalactic Data base Extinction calculator tool2 (for B, V, and R bands it is based on paper Schlafly & Finkbeiner 2011). The SEDs are compiled using extinction corrected flux densities (Fν) at B, V, and R wavelengths. Fig. 7 shows optical SED for 1741+597 for 9 different epochs. In Appendix  D are presented optical SEDs for all sources, and the details (results of linear fits) are presented in Table 10.

The SED of 1741+597 in B, V, and R bands. Details about the log Fν–log ν correlations for all sources can be found in Table 10.
Figure 7.

The SED of 1741+597 in B, V, and R bands. Details about the log Fν–log ν correlations for all sources can be found in Table 10.

Table 7.

The spectral index variations with respect to time.

SourceSlopeInterceptrP
(× 10−5)
0049+0032.3 ± 2.00.83 ± 0.040.523.30 × 10−3
0907+336−2.7 ± 3.01.06 ± 0.03−0.536.00 × 10−4
1034+5745.0 ± 2.00.78 ± 0.030.153.06 × 10−1
1212+467−1.3 ± 7.0−0.11 ± 0.07−0.152.95 × 10−1
1242+574−2.0 ± 3.01.17 ± 0.06−0.038.31 × 10−1
1429+2493.0 ± 3.00.11 ± 0.050.067.19 × 10−1
1535+231−1.2 ± 9.00.52 ± 0.16−0.124.54 × 10−1
1556+3353.0 ± 3.01.59 ± 0.050.067.15 × 10−1
1607+6042.3 ± 3.01.08 ± 0.040.581.00 × 10−4
1612+3787.0 ± 2.01.31 ± 0.030.231.72 × 10−1
1722+1191.0 ± 2.01.37 ± 0.030.038.70 × 10−1
1741+597−5.2 ± 3.02.60 ± 0.07−0.791.54 × 10−12
SourceSlopeInterceptrP
(× 10−5)
0049+0032.3 ± 2.00.83 ± 0.040.523.30 × 10−3
0907+336−2.7 ± 3.01.06 ± 0.03−0.536.00 × 10−4
1034+5745.0 ± 2.00.78 ± 0.030.153.06 × 10−1
1212+467−1.3 ± 7.0−0.11 ± 0.07−0.152.95 × 10−1
1242+574−2.0 ± 3.01.17 ± 0.06−0.038.31 × 10−1
1429+2493.0 ± 3.00.11 ± 0.050.067.19 × 10−1
1535+231−1.2 ± 9.00.52 ± 0.16−0.124.54 × 10−1
1556+3353.0 ± 3.01.59 ± 0.050.067.15 × 10−1
1607+6042.3 ± 3.01.08 ± 0.040.581.00 × 10−4
1612+3787.0 ± 2.01.31 ± 0.030.231.72 × 10−1
1722+1191.0 ± 2.01.37 ± 0.030.038.70 × 10−1
1741+597−5.2 ± 3.02.60 ± 0.07−0.791.54 × 10−12

Notes. Slope, and Intercept of α against JD-2456300 d,

r – Pearson’s coefficient, and P – null hypothesis probability.

Table 7.

The spectral index variations with respect to time.

SourceSlopeInterceptrP
(× 10−5)
0049+0032.3 ± 2.00.83 ± 0.040.523.30 × 10−3
0907+336−2.7 ± 3.01.06 ± 0.03−0.536.00 × 10−4
1034+5745.0 ± 2.00.78 ± 0.030.153.06 × 10−1
1212+467−1.3 ± 7.0−0.11 ± 0.07−0.152.95 × 10−1
1242+574−2.0 ± 3.01.17 ± 0.06−0.038.31 × 10−1
1429+2493.0 ± 3.00.11 ± 0.050.067.19 × 10−1
1535+231−1.2 ± 9.00.52 ± 0.16−0.124.54 × 10−1
1556+3353.0 ± 3.01.59 ± 0.050.067.15 × 10−1
1607+6042.3 ± 3.01.08 ± 0.040.581.00 × 10−4
1612+3787.0 ± 2.01.31 ± 0.030.231.72 × 10−1
1722+1191.0 ± 2.01.37 ± 0.030.038.70 × 10−1
1741+597−5.2 ± 3.02.60 ± 0.07−0.791.54 × 10−12
SourceSlopeInterceptrP
(× 10−5)
0049+0032.3 ± 2.00.83 ± 0.040.523.30 × 10−3
0907+336−2.7 ± 3.01.06 ± 0.03−0.536.00 × 10−4
1034+5745.0 ± 2.00.78 ± 0.030.153.06 × 10−1
1212+467−1.3 ± 7.0−0.11 ± 0.07−0.152.95 × 10−1
1242+574−2.0 ± 3.01.17 ± 0.06−0.038.31 × 10−1
1429+2493.0 ± 3.00.11 ± 0.050.067.19 × 10−1
1535+231−1.2 ± 9.00.52 ± 0.16−0.124.54 × 10−1
1556+3353.0 ± 3.01.59 ± 0.050.067.15 × 10−1
1607+6042.3 ± 3.01.08 ± 0.040.581.00 × 10−4
1612+3787.0 ± 2.01.31 ± 0.030.231.72 × 10−1
1722+1191.0 ± 2.01.37 ± 0.030.038.70 × 10−1
1741+597−5.2 ± 3.02.60 ± 0.07−0.791.54 × 10−12

Notes. Slope, and Intercept of α against JD-2456300 d,

r – Pearson’s coefficient, and P – null hypothesis probability.

Table 8.

The optical spectral index – magnitude dependencies.

SourceSlopeInterceptrP
0049+0031.07 ± 0.10−16.08 ± 1.640.561.40 × 10−3
0907+336−0.53 ± 0.079.21 ± 1.13−0.391.38 × 10−2
1034+5740.19 ± 0.04−2.13 ± 0.610.276.68 × 10−2
1212+467−0.32 ± 0.205.32 ± 3.57−0.123.99 × 10−1
1242+574−0.07 ± 0.122.41 ± 2.17−0.048.08 × 10−1
1429+2491.28 ± 0.34−21.93 ± 5.790.241.34 × 10−1
1535+231−0.46 ± 0.318.78 ± 5.71−0.134.11 × 10−3
1556+335−0.55 ± 0.3410.97 ± 5.80−0.124.64 × 10−1
1607+6041.71 ± 0.21−27.67 ± 3.620.561.00 × 10−4
1612+3780.99 ± 0.13−14.91 ± 2.070.611.00 × 10−4
1722+1190.13 ± 0.03−0.59 ± 0.430.361.72 × 10−2
1741+5970.69 ± 0.04−10.10 ± 0.680.861.67 × 10−16
SourceSlopeInterceptrP
0049+0031.07 ± 0.10−16.08 ± 1.640.561.40 × 10−3
0907+336−0.53 ± 0.079.21 ± 1.13−0.391.38 × 10−2
1034+5740.19 ± 0.04−2.13 ± 0.610.276.68 × 10−2
1212+467−0.32 ± 0.205.32 ± 3.57−0.123.99 × 10−1
1242+574−0.07 ± 0.122.41 ± 2.17−0.048.08 × 10−1
1429+2491.28 ± 0.34−21.93 ± 5.790.241.34 × 10−1
1535+231−0.46 ± 0.318.78 ± 5.71−0.134.11 × 10−3
1556+335−0.55 ± 0.3410.97 ± 5.80−0.124.64 × 10−1
1607+6041.71 ± 0.21−27.67 ± 3.620.561.00 × 10−4
1612+3780.99 ± 0.13−14.91 ± 2.070.611.00 × 10−4
1722+1190.13 ± 0.03−0.59 ± 0.430.361.72 × 10−2
1741+5970.69 ± 0.04−10.10 ± 0.680.861.67 × 10−16

Notes. Slope, and Intercept of α against R, r – Pearson’s coefficient,

and P – null hypothesis probability.

Table 8.

The optical spectral index – magnitude dependencies.

SourceSlopeInterceptrP
0049+0031.07 ± 0.10−16.08 ± 1.640.561.40 × 10−3
0907+336−0.53 ± 0.079.21 ± 1.13−0.391.38 × 10−2
1034+5740.19 ± 0.04−2.13 ± 0.610.276.68 × 10−2
1212+467−0.32 ± 0.205.32 ± 3.57−0.123.99 × 10−1
1242+574−0.07 ± 0.122.41 ± 2.17−0.048.08 × 10−1
1429+2491.28 ± 0.34−21.93 ± 5.790.241.34 × 10−1
1535+231−0.46 ± 0.318.78 ± 5.71−0.134.11 × 10−3
1556+335−0.55 ± 0.3410.97 ± 5.80−0.124.64 × 10−1
1607+6041.71 ± 0.21−27.67 ± 3.620.561.00 × 10−4
1612+3780.99 ± 0.13−14.91 ± 2.070.611.00 × 10−4
1722+1190.13 ± 0.03−0.59 ± 0.430.361.72 × 10−2
1741+5970.69 ± 0.04−10.10 ± 0.680.861.67 × 10−16
SourceSlopeInterceptrP
0049+0031.07 ± 0.10−16.08 ± 1.640.561.40 × 10−3
0907+336−0.53 ± 0.079.21 ± 1.13−0.391.38 × 10−2
1034+5740.19 ± 0.04−2.13 ± 0.610.276.68 × 10−2
1212+467−0.32 ± 0.205.32 ± 3.57−0.123.99 × 10−1
1242+574−0.07 ± 0.122.41 ± 2.17−0.048.08 × 10−1
1429+2491.28 ± 0.34−21.93 ± 5.790.241.34 × 10−1
1535+231−0.46 ± 0.318.78 ± 5.71−0.134.11 × 10−3
1556+335−0.55 ± 0.3410.97 ± 5.80−0.124.64 × 10−1
1607+6041.71 ± 0.21−27.67 ± 3.620.561.00 × 10−4
1612+3780.99 ± 0.13−14.91 ± 2.070.611.00 × 10−4
1722+1190.13 ± 0.03−0.59 ± 0.430.361.72 × 10−2
1741+5970.69 ± 0.04−10.10 ± 0.680.861.67 × 10−16

Notes. Slope, and Intercept of α against R, r – Pearson’s coefficient,

and P – null hypothesis probability.

Table 9.

The Galactic extinction.

SourceAB (mag)AV (mag)AR (mag)
0049+0030.0880.0660.052
0907+3360.0790.0600.047
1034+5740.0150.0110.009
1212+4670.0520.0400.031
1242+5740.0400.0300.024
1429+2490.1190.0900.071
1535+2310.1490.1130.089
1556+3350.1110.0840.067
1607+6040.0510.0380.030
1612+3780.0570.0430.034
1722+1190.6250.4730.374
1741+5970.1570.1190.094
SourceAB (mag)AV (mag)AR (mag)
0049+0030.0880.0660.052
0907+3360.0790.0600.047
1034+5740.0150.0110.009
1212+4670.0520.0400.031
1242+5740.0400.0300.024
1429+2490.1190.0900.071
1535+2310.1490.1130.089
1556+3350.1110.0840.067
1607+6040.0510.0380.030
1612+3780.0570.0430.034
1722+1190.6250.4730.374
1741+5970.1570.1190.094

Note. AB, AV, and AR are galactic absorption for B, V, and R bands.

Table 9.

The Galactic extinction.

SourceAB (mag)AV (mag)AR (mag)
0049+0030.0880.0660.052
0907+3360.0790.0600.047
1034+5740.0150.0110.009
1212+4670.0520.0400.031
1242+5740.0400.0300.024
1429+2490.1190.0900.071
1535+2310.1490.1130.089
1556+3350.1110.0840.067
1607+6040.0510.0380.030
1612+3780.0570.0430.034
1722+1190.6250.4730.374
1741+5970.1570.1190.094
SourceAB (mag)AV (mag)AR (mag)
0049+0030.0880.0660.052
0907+3360.0790.0600.047
1034+5740.0150.0110.009
1212+4670.0520.0400.031
1242+5740.0400.0300.024
1429+2490.1190.0900.071
1535+2310.1490.1130.089
1556+3350.1110.0840.067
1607+6040.0510.0380.030
1612+3780.0570.0430.034
1722+1190.6250.4730.374
1741+5970.1570.1190.094

Note. AB, AV, and AR are galactic absorption for B, V, and R bands.

Table 10.

Straight-line fits to optical SEDs of 12 sources.

Source
Observation dateSlopeInterceptrPObservation dateSlopeInterceptrP
0049+003
2013 Sept 06−1.081 ± 0.077−9.99 ± 1.13−0.9980.0452015 Aug 15−1.530 ± 0.169−3.49 ± 2.49−0.9940.070
2014 Dec 19−1.260 ± 0.175−7.38 ± 2.58−0.9900.0882015 Sept 13−1.665 ± 0.306−1.50 ± 4.52−0.9830.116
0907+336
2013 Apr 14−0.862 ± 0.003−13.11 ± 0.05−1.0000.0032014 May 22−0.982 ± 0.061−11.36 ± 0.90−0.9980.039
2014 Mar 01−1.033 ± 0.016−10.64 ± 0.23−1.0000.0102014 Oct 21−1.016 ± 0.101−10.81 ± 1.49−0.9950.063
1034+574
2013 July 09−1.129 ± 0.075−9.56 ± 1.11−0.9980.0432014 May 22−1.162 ± 0.073−8.82 ± 1.08−0.9980.040
2014 Mar 01−1.255 ± 0.040−7.58 ± 0.59−0.9990.0202015 Feb 19−1.282 ± 0.188−6.81 ± 2.77−0.9890.093
1212+467
2013 July 09−0.097 ± 0.133−25.02 ± 1.96−0.5910.5982014 Dec 240.082 ± 0.203−27.75 ± 3.000.3740.756
2014 Apr 01−0.182 ± 0.106−23.84 ± 1.57−0.8640.3362015 Feb 21−0.112 ± 0.121−24.81 ± 1.79−0.6780.526
2014 June 27−0.112 ± 0.161−24.96 ± 2.38−0.5710.613
1242+574
2014 Apr 02−1.160 ± 0.055−9.42 ± 0.82−0.9990.0302014 July 04−1.392 ± 0.157−6.13 ± 2.31−0.9940.071
2014 May 22−1.151 ± 0.131−9.71 ± 1.94−0.9940.0722014 Dec 25−1.274 ± 0.033−7.78 ± 0.48−1.0000.016
2014 June 28−1.359 ± 0.087−6.62 ± 1.29−0.9980.0412015 May 14−1.756 ± 0.221−0.60 ± 3.27−0.9920.080
1429+249
2014 Apr 04−2.657 ± 2.31012.96 ± 34.08−0.7550.4562014 Dec 25−2.954 ± 2.13917.37 ± 31.55−0.8100.399
2014 June 28−2.853 ± 2.32815.85 ± 34.33−0.7750.4362015 Apr 15−2.858 ± 2.24315.91 ± 33.08−0.7870.424
2014 July 04−2.789 ± 2.39014.89 ± 35.24−0.7590.4512015 July 16−3.063 ± 2.25918.93 ± 33.31−0.8050.405
1535+231
2014 Apr 04−0.725 ± 0.118−16.26 ± 1.75−0.9870.1032014 Dec 25−0.757 ± 0.047−15.74 ± 0.70−0.9980.040
2014 May 25−0.413 ± 0.172−20.87 ± 2.54−0.9230.2512015 July 12−0.733 ± 0.109−15.94 ± 1.61−0.9890.094
2014 June 27−0.654 ± 0.277−17.34 ± 4.08−0.9210.2552015 July 18−0.799 ± 0.235−15.01 ± 3.47−0.9590.182
1556+335
2014 Apr 04−1.441 ± 0.046−5.10 ± 0.68−0.9990.0202015 Apr 20−1.483 ± 0.063−4.51 ± 0.94−0.9990.027
2014 June 27−1.354 ± 0.084−6.38 ± 1.24−0.9980.0392015 July 12−1.613 ± 0.069−2.61 ± 1.02−0.9990.027
2014 July 04−1.514 ± 0.017−4.05 ± 0.25−1.0000.007
1607+604
2013 July 08−1.025 ± 0.044−11.24 ± 0.65−0.9990.0282014 July 03−0.967 ± 0.010−12.04 ± 0.15−1.0000.007
2014 Mar 01−0.729 ± 0.100−15.57 ± 1.48−0.9910.0872014 Oct 10−1.203 ± 0.087−8.62 ± 1.29−0.9970.046
2014 May 28−0.753 ± 0.135−15.19 ± 1.99−0.9840.1132015 June 12−1.659 ± 0.043−1.96 ± 0.63−1.0000.016
2014 June 28−0.697 ± 0.100−16.01 ± 1.47−0.9900.0902015 July 17−1.936 ± 0.1572.10 ± 2.31−0.9970.051
1612+378
2013 July 08−0.890 ± 0.044−12.98 ± 0.64−0.9990.0312014 Oct 01−0.995 ± 0.077−11.44 ± 1.13−0.9970.049
2014 May 28−0.786 ± 0.172−14.50 ± 2.54−0.9770.1372015 June 14−1.093 ± 0.138−10.04 ± 2.03−0.9920.080
2014 June 29−0.858 ± 0.224−13.44 ± 3.30−0.9680.1622015 July 18−1.119 ± 0.125−9.66 ± 1.85−0.9940.071
1722+119
2013 July 09−1.042 ± 0.020−10.01 ± 0.29−1.0000.0122015 July 13−1.242 ± 0.225−7.13 ± 3.32−0.9840.114
2014 June 29−1.052 ± 0.026−9.75 ± 0.39−1.0000.0162015 Aug 11−1.289 ± 0.146−6.49 ± 2.15−0.9940.072
2015 Apr 22−1.225 ± 0.153−7.52 ± 2.26−0.9920.0792015 Sept 17−1.306 ± 0.120−6.27 ± 1.77−0.9960.058
2015 May 13−1.005 ± 0.136−10.75 ± 2.00−0.9910.085
1741+597
2013 July 09−1.273 ± 0.053−7.67 ± 0.78−0.9990.0272015 July 17−1.957 ± 0.0602.18 ± 0.89−1.0000.020
2014 June 30−2.129 ± 0.1814.75 ± 2.68−0.9960.0542015 July 21−2.197 ± 0.0875.74 ± 1.29−0.9990.025
2014 Oct 01−1.931 ± 0.0851.93 ± 1.25−0.9990.0282015 Aug 12−1.914 ± 0.1011.57 ± 1.49−0.9990.034
2014 Oct 19−1.958 ± 0.0752.24 ± 1.11−0.9990.0242015 Sept 17−1.944 ± 0.0691.95 ± 1.01−0.9990.022
2015 June 22−1.747 ± 0.142−0.93 ± 2.10−0.9970.052
Source
Observation dateSlopeInterceptrPObservation dateSlopeInterceptrP
0049+003
2013 Sept 06−1.081 ± 0.077−9.99 ± 1.13−0.9980.0452015 Aug 15−1.530 ± 0.169−3.49 ± 2.49−0.9940.070
2014 Dec 19−1.260 ± 0.175−7.38 ± 2.58−0.9900.0882015 Sept 13−1.665 ± 0.306−1.50 ± 4.52−0.9830.116
0907+336
2013 Apr 14−0.862 ± 0.003−13.11 ± 0.05−1.0000.0032014 May 22−0.982 ± 0.061−11.36 ± 0.90−0.9980.039
2014 Mar 01−1.033 ± 0.016−10.64 ± 0.23−1.0000.0102014 Oct 21−1.016 ± 0.101−10.81 ± 1.49−0.9950.063
1034+574
2013 July 09−1.129 ± 0.075−9.56 ± 1.11−0.9980.0432014 May 22−1.162 ± 0.073−8.82 ± 1.08−0.9980.040
2014 Mar 01−1.255 ± 0.040−7.58 ± 0.59−0.9990.0202015 Feb 19−1.282 ± 0.188−6.81 ± 2.77−0.9890.093
1212+467
2013 July 09−0.097 ± 0.133−25.02 ± 1.96−0.5910.5982014 Dec 240.082 ± 0.203−27.75 ± 3.000.3740.756
2014 Apr 01−0.182 ± 0.106−23.84 ± 1.57−0.8640.3362015 Feb 21−0.112 ± 0.121−24.81 ± 1.79−0.6780.526
2014 June 27−0.112 ± 0.161−24.96 ± 2.38−0.5710.613
1242+574
2014 Apr 02−1.160 ± 0.055−9.42 ± 0.82−0.9990.0302014 July 04−1.392 ± 0.157−6.13 ± 2.31−0.9940.071
2014 May 22−1.151 ± 0.131−9.71 ± 1.94−0.9940.0722014 Dec 25−1.274 ± 0.033−7.78 ± 0.48−1.0000.016
2014 June 28−1.359 ± 0.087−6.62 ± 1.29−0.9980.0412015 May 14−1.756 ± 0.221−0.60 ± 3.27−0.9920.080
1429+249
2014 Apr 04−2.657 ± 2.31012.96 ± 34.08−0.7550.4562014 Dec 25−2.954 ± 2.13917.37 ± 31.55−0.8100.399
2014 June 28−2.853 ± 2.32815.85 ± 34.33−0.7750.4362015 Apr 15−2.858 ± 2.24315.91 ± 33.08−0.7870.424
2014 July 04−2.789 ± 2.39014.89 ± 35.24−0.7590.4512015 July 16−3.063 ± 2.25918.93 ± 33.31−0.8050.405
1535+231
2014 Apr 04−0.725 ± 0.118−16.26 ± 1.75−0.9870.1032014 Dec 25−0.757 ± 0.047−15.74 ± 0.70−0.9980.040
2014 May 25−0.413 ± 0.172−20.87 ± 2.54−0.9230.2512015 July 12−0.733 ± 0.109−15.94 ± 1.61−0.9890.094
2014 June 27−0.654 ± 0.277−17.34 ± 4.08−0.9210.2552015 July 18−0.799 ± 0.235−15.01 ± 3.47−0.9590.182
1556+335
2014 Apr 04−1.441 ± 0.046−5.10 ± 0.68−0.9990.0202015 Apr 20−1.483 ± 0.063−4.51 ± 0.94−0.9990.027
2014 June 27−1.354 ± 0.084−6.38 ± 1.24−0.9980.0392015 July 12−1.613 ± 0.069−2.61 ± 1.02−0.9990.027
2014 July 04−1.514 ± 0.017−4.05 ± 0.25−1.0000.007
1607+604
2013 July 08−1.025 ± 0.044−11.24 ± 0.65−0.9990.0282014 July 03−0.967 ± 0.010−12.04 ± 0.15−1.0000.007
2014 Mar 01−0.729 ± 0.100−15.57 ± 1.48−0.9910.0872014 Oct 10−1.203 ± 0.087−8.62 ± 1.29−0.9970.046
2014 May 28−0.753 ± 0.135−15.19 ± 1.99−0.9840.1132015 June 12−1.659 ± 0.043−1.96 ± 0.63−1.0000.016
2014 June 28−0.697 ± 0.100−16.01 ± 1.47−0.9900.0902015 July 17−1.936 ± 0.1572.10 ± 2.31−0.9970.051
1612+378
2013 July 08−0.890 ± 0.044−12.98 ± 0.64−0.9990.0312014 Oct 01−0.995 ± 0.077−11.44 ± 1.13−0.9970.049
2014 May 28−0.786 ± 0.172−14.50 ± 2.54−0.9770.1372015 June 14−1.093 ± 0.138−10.04 ± 2.03−0.9920.080
2014 June 29−0.858 ± 0.224−13.44 ± 3.30−0.9680.1622015 July 18−1.119 ± 0.125−9.66 ± 1.85−0.9940.071
1722+119
2013 July 09−1.042 ± 0.020−10.01 ± 0.29−1.0000.0122015 July 13−1.242 ± 0.225−7.13 ± 3.32−0.9840.114
2014 June 29−1.052 ± 0.026−9.75 ± 0.39−1.0000.0162015 Aug 11−1.289 ± 0.146−6.49 ± 2.15−0.9940.072
2015 Apr 22−1.225 ± 0.153−7.52 ± 2.26−0.9920.0792015 Sept 17−1.306 ± 0.120−6.27 ± 1.77−0.9960.058
2015 May 13−1.005 ± 0.136−10.75 ± 2.00−0.9910.085
1741+597
2013 July 09−1.273 ± 0.053−7.67 ± 0.78−0.9990.0272015 July 17−1.957 ± 0.0602.18 ± 0.89−1.0000.020
2014 June 30−2.129 ± 0.1814.75 ± 2.68−0.9960.0542015 July 21−2.197 ± 0.0875.74 ± 1.29−0.9990.025
2014 Oct 01−1.931 ± 0.0851.93 ± 1.25−0.9990.0282015 Aug 12−1.914 ± 0.1011.57 ± 1.49−0.9990.034
2014 Oct 19−1.958 ± 0.0752.24 ± 1.11−0.9990.0242015 Sept 17−1.944 ± 0.0691.95 ± 1.01−0.9990.022
2015 June 22−1.747 ± 0.142−0.93 ± 2.10−0.9970.052

Note. Slope and Intercept of log Fν against log ν, r – Pearson’s coefficient and P – null hypothesis probability.

Table 10.

Straight-line fits to optical SEDs of 12 sources.

Source
Observation dateSlopeInterceptrPObservation dateSlopeInterceptrP
0049+003
2013 Sept 06−1.081 ± 0.077−9.99 ± 1.13−0.9980.0452015 Aug 15−1.530 ± 0.169−3.49 ± 2.49−0.9940.070
2014 Dec 19−1.260 ± 0.175−7.38 ± 2.58−0.9900.0882015 Sept 13−1.665 ± 0.306−1.50 ± 4.52−0.9830.116
0907+336
2013 Apr 14−0.862 ± 0.003−13.11 ± 0.05−1.0000.0032014 May 22−0.982 ± 0.061−11.36 ± 0.90−0.9980.039
2014 Mar 01−1.033 ± 0.016−10.64 ± 0.23−1.0000.0102014 Oct 21−1.016 ± 0.101−10.81 ± 1.49−0.9950.063
1034+574
2013 July 09−1.129 ± 0.075−9.56 ± 1.11−0.9980.0432014 May 22−1.162 ± 0.073−8.82 ± 1.08−0.9980.040
2014 Mar 01−1.255 ± 0.040−7.58 ± 0.59−0.9990.0202015 Feb 19−1.282 ± 0.188−6.81 ± 2.77−0.9890.093
1212+467
2013 July 09−0.097 ± 0.133−25.02 ± 1.96−0.5910.5982014 Dec 240.082 ± 0.203−27.75 ± 3.000.3740.756
2014 Apr 01−0.182 ± 0.106−23.84 ± 1.57−0.8640.3362015 Feb 21−0.112 ± 0.121−24.81 ± 1.79−0.6780.526
2014 June 27−0.112 ± 0.161−24.96 ± 2.38−0.5710.613
1242+574
2014 Apr 02−1.160 ± 0.055−9.42 ± 0.82−0.9990.0302014 July 04−1.392 ± 0.157−6.13 ± 2.31−0.9940.071
2014 May 22−1.151 ± 0.131−9.71 ± 1.94−0.9940.0722014 Dec 25−1.274 ± 0.033−7.78 ± 0.48−1.0000.016
2014 June 28−1.359 ± 0.087−6.62 ± 1.29−0.9980.0412015 May 14−1.756 ± 0.221−0.60 ± 3.27−0.9920.080
1429+249
2014 Apr 04−2.657 ± 2.31012.96 ± 34.08−0.7550.4562014 Dec 25−2.954 ± 2.13917.37 ± 31.55−0.8100.399
2014 June 28−2.853 ± 2.32815.85 ± 34.33−0.7750.4362015 Apr 15−2.858 ± 2.24315.91 ± 33.08−0.7870.424
2014 July 04−2.789 ± 2.39014.89 ± 35.24−0.7590.4512015 July 16−3.063 ± 2.25918.93 ± 33.31−0.8050.405
1535+231
2014 Apr 04−0.725 ± 0.118−16.26 ± 1.75−0.9870.1032014 Dec 25−0.757 ± 0.047−15.74 ± 0.70−0.9980.040
2014 May 25−0.413 ± 0.172−20.87 ± 2.54−0.9230.2512015 July 12−0.733 ± 0.109−15.94 ± 1.61−0.9890.094
2014 June 27−0.654 ± 0.277−17.34 ± 4.08−0.9210.2552015 July 18−0.799 ± 0.235−15.01 ± 3.47−0.9590.182
1556+335
2014 Apr 04−1.441 ± 0.046−5.10 ± 0.68−0.9990.0202015 Apr 20−1.483 ± 0.063−4.51 ± 0.94−0.9990.027
2014 June 27−1.354 ± 0.084−6.38 ± 1.24−0.9980.0392015 July 12−1.613 ± 0.069−2.61 ± 1.02−0.9990.027
2014 July 04−1.514 ± 0.017−4.05 ± 0.25−1.0000.007
1607+604
2013 July 08−1.025 ± 0.044−11.24 ± 0.65−0.9990.0282014 July 03−0.967 ± 0.010−12.04 ± 0.15−1.0000.007
2014 Mar 01−0.729 ± 0.100−15.57 ± 1.48−0.9910.0872014 Oct 10−1.203 ± 0.087−8.62 ± 1.29−0.9970.046
2014 May 28−0.753 ± 0.135−15.19 ± 1.99−0.9840.1132015 June 12−1.659 ± 0.043−1.96 ± 0.63−1.0000.016
2014 June 28−0.697 ± 0.100−16.01 ± 1.47−0.9900.0902015 July 17−1.936 ± 0.1572.10 ± 2.31−0.9970.051
1612+378
2013 July 08−0.890 ± 0.044−12.98 ± 0.64−0.9990.0312014 Oct 01−0.995 ± 0.077−11.44 ± 1.13−0.9970.049
2014 May 28−0.786 ± 0.172−14.50 ± 2.54−0.9770.1372015 June 14−1.093 ± 0.138−10.04 ± 2.03−0.9920.080
2014 June 29−0.858 ± 0.224−13.44 ± 3.30−0.9680.1622015 July 18−1.119 ± 0.125−9.66 ± 1.85−0.9940.071
1722+119
2013 July 09−1.042 ± 0.020−10.01 ± 0.29−1.0000.0122015 July 13−1.242 ± 0.225−7.13 ± 3.32−0.9840.114
2014 June 29−1.052 ± 0.026−9.75 ± 0.39−1.0000.0162015 Aug 11−1.289 ± 0.146−6.49 ± 2.15−0.9940.072
2015 Apr 22−1.225 ± 0.153−7.52 ± 2.26−0.9920.0792015 Sept 17−1.306 ± 0.120−6.27 ± 1.77−0.9960.058
2015 May 13−1.005 ± 0.136−10.75 ± 2.00−0.9910.085
1741+597
2013 July 09−1.273 ± 0.053−7.67 ± 0.78−0.9990.0272015 July 17−1.957 ± 0.0602.18 ± 0.89−1.0000.020
2014 June 30−2.129 ± 0.1814.75 ± 2.68−0.9960.0542015 July 21−2.197 ± 0.0875.74 ± 1.29−0.9990.025
2014 Oct 01−1.931 ± 0.0851.93 ± 1.25−0.9990.0282015 Aug 12−1.914 ± 0.1011.57 ± 1.49−0.9990.034
2014 Oct 19−1.958 ± 0.0752.24 ± 1.11−0.9990.0242015 Sept 17−1.944 ± 0.0691.95 ± 1.01−0.9990.022
2015 June 22−1.747 ± 0.142−0.93 ± 2.10−0.9970.052
Source
Observation dateSlopeInterceptrPObservation dateSlopeInterceptrP
0049+003
2013 Sept 06−1.081 ± 0.077−9.99 ± 1.13−0.9980.0452015 Aug 15−1.530 ± 0.169−3.49 ± 2.49−0.9940.070
2014 Dec 19−1.260 ± 0.175−7.38 ± 2.58−0.9900.0882015 Sept 13−1.665 ± 0.306−1.50 ± 4.52−0.9830.116
0907+336
2013 Apr 14−0.862 ± 0.003−13.11 ± 0.05−1.0000.0032014 May 22−0.982 ± 0.061−11.36 ± 0.90−0.9980.039
2014 Mar 01−1.033 ± 0.016−10.64 ± 0.23−1.0000.0102014 Oct 21−1.016 ± 0.101−10.81 ± 1.49−0.9950.063
1034+574
2013 July 09−1.129 ± 0.075−9.56 ± 1.11−0.9980.0432014 May 22−1.162 ± 0.073−8.82 ± 1.08−0.9980.040
2014 Mar 01−1.255 ± 0.040−7.58 ± 0.59−0.9990.0202015 Feb 19−1.282 ± 0.188−6.81 ± 2.77−0.9890.093
1212+467
2013 July 09−0.097 ± 0.133−25.02 ± 1.96−0.5910.5982014 Dec 240.082 ± 0.203−27.75 ± 3.000.3740.756
2014 Apr 01−0.182 ± 0.106−23.84 ± 1.57−0.8640.3362015 Feb 21−0.112 ± 0.121−24.81 ± 1.79−0.6780.526
2014 June 27−0.112 ± 0.161−24.96 ± 2.38−0.5710.613
1242+574
2014 Apr 02−1.160 ± 0.055−9.42 ± 0.82−0.9990.0302014 July 04−1.392 ± 0.157−6.13 ± 2.31−0.9940.071
2014 May 22−1.151 ± 0.131−9.71 ± 1.94−0.9940.0722014 Dec 25−1.274 ± 0.033−7.78 ± 0.48−1.0000.016
2014 June 28−1.359 ± 0.087−6.62 ± 1.29−0.9980.0412015 May 14−1.756 ± 0.221−0.60 ± 3.27−0.9920.080
1429+249
2014 Apr 04−2.657 ± 2.31012.96 ± 34.08−0.7550.4562014 Dec 25−2.954 ± 2.13917.37 ± 31.55−0.8100.399
2014 June 28−2.853 ± 2.32815.85 ± 34.33−0.7750.4362015 Apr 15−2.858 ± 2.24315.91 ± 33.08−0.7870.424
2014 July 04−2.789 ± 2.39014.89 ± 35.24−0.7590.4512015 July 16−3.063 ± 2.25918.93 ± 33.31−0.8050.405
1535+231
2014 Apr 04−0.725 ± 0.118−16.26 ± 1.75−0.9870.1032014 Dec 25−0.757 ± 0.047−15.74 ± 0.70−0.9980.040
2014 May 25−0.413 ± 0.172−20.87 ± 2.54−0.9230.2512015 July 12−0.733 ± 0.109−15.94 ± 1.61−0.9890.094
2014 June 27−0.654 ± 0.277−17.34 ± 4.08−0.9210.2552015 July 18−0.799 ± 0.235−15.01 ± 3.47−0.9590.182
1556+335
2014 Apr 04−1.441 ± 0.046−5.10 ± 0.68−0.9990.0202015 Apr 20−1.483 ± 0.063−4.51 ± 0.94−0.9990.027
2014 June 27−1.354 ± 0.084−6.38 ± 1.24−0.9980.0392015 July 12−1.613 ± 0.069−2.61 ± 1.02−0.9990.027
2014 July 04−1.514 ± 0.017−4.05 ± 0.25−1.0000.007
1607+604
2013 July 08−1.025 ± 0.044−11.24 ± 0.65−0.9990.0282014 July 03−0.967 ± 0.010−12.04 ± 0.15−1.0000.007
2014 Mar 01−0.729 ± 0.100−15.57 ± 1.48−0.9910.0872014 Oct 10−1.203 ± 0.087−8.62 ± 1.29−0.9970.046
2014 May 28−0.753 ± 0.135−15.19 ± 1.99−0.9840.1132015 June 12−1.659 ± 0.043−1.96 ± 0.63−1.0000.016
2014 June 28−0.697 ± 0.100−16.01 ± 1.47−0.9900.0902015 July 17−1.936 ± 0.1572.10 ± 2.31−0.9970.051
1612+378
2013 July 08−0.890 ± 0.044−12.98 ± 0.64−0.9990.0312014 Oct 01−0.995 ± 0.077−11.44 ± 1.13−0.9970.049
2014 May 28−0.786 ± 0.172−14.50 ± 2.54−0.9770.1372015 June 14−1.093 ± 0.138−10.04 ± 2.03−0.9920.080
2014 June 29−0.858 ± 0.224−13.44 ± 3.30−0.9680.1622015 July 18−1.119 ± 0.125−9.66 ± 1.85−0.9940.071
1722+119
2013 July 09−1.042 ± 0.020−10.01 ± 0.29−1.0000.0122015 July 13−1.242 ± 0.225−7.13 ± 3.32−0.9840.114
2014 June 29−1.052 ± 0.026−9.75 ± 0.39−1.0000.0162015 Aug 11−1.289 ± 0.146−6.49 ± 2.15−0.9940.072
2015 Apr 22−1.225 ± 0.153−7.52 ± 2.26−0.9920.0792015 Sept 17−1.306 ± 0.120−6.27 ± 1.77−0.9960.058
2015 May 13−1.005 ± 0.136−10.75 ± 2.00−0.9910.085
1741+597
2013 July 09−1.273 ± 0.053−7.67 ± 0.78−0.9990.0272015 July 17−1.957 ± 0.0602.18 ± 0.89−1.0000.020
2014 June 30−2.129 ± 0.1814.75 ± 2.68−0.9960.0542015 July 21−2.197 ± 0.0875.74 ± 1.29−0.9990.025
2014 Oct 01−1.931 ± 0.0851.93 ± 1.25−0.9990.0282015 Aug 12−1.914 ± 0.1011.57 ± 1.49−0.9990.034
2014 Oct 19−1.958 ± 0.0752.24 ± 1.11−0.9990.0242015 Sept 17−1.944 ± 0.0691.95 ± 1.01−0.9990.022
2015 June 22−1.747 ± 0.142−0.93 ± 2.10−0.9970.052

Note. Slope and Intercept of log Fν against log ν, r – Pearson’s coefficient and P – null hypothesis probability.

4 RESULTS OF INDIVIDUAL TARGETS

Abbé’s criterion and F-test show that the objects are variable in V and R bands in relation to both comparison stars |$\rm A$| and |$\rm B$| with exception of two objects. The 1424+249 is considered to be variable in relation to a comparison star |$\rm A$| according to Abbé’s criterion in both bands, and in relation to B in according to Abbé’s criterion in R band, and F-test in both bands. The object 1556+335 is variable only in V band in relation to star A. Magnitudes of sources 1212+467, 1242+574, 1535+231, and 1741+597 are not homogeneous in relation to the standard deviation. When the sources were fainter, the standard deviation was greater, and vice versa. Also, the colour of sources was tested using the same statistical tests, both tests did not show that the colour is variable. Optical variabilities of sources 0907+336, 1034+574, 1212+467, 1242+574, 1607+604, 1612+378, and 1722+119 in B and R bands were investigated by Abrahamyan et al. (2019). Their optical variability was classified as low.

The data from 2013 to 2015 were part of the data which were used for analysing variability of the sources, and the results were presented in paper Taris et al. (2018). For sources 1535+231, 1556+335, 1607+604, 1722+119, and 1741+597 data from 2016 to 2019 were used for testing comparison stars for differential photometry in Jovanovic, Damljanovic & Vince (2018), and for obtaining their long-term period variability with Least Squares Method (LSM) iteratively in paper Jovanović (2019), analogously periodicity analysis for these blazars in short and long time-scales was performed in Jovanović & Damljanović (2020) as well as colour variability one in Jovanović et al. (2020). For the same sources the data from 2013 to 2019 were used for obtaining the periods of short and long term variations with LSM iteratively which was presented in paper Damljanović, Taris & Jovanović (2020). Moreover, the data (2013–2019) were used for testing the control stars for differential photometry (Jovanović, Damljanović & Taris (2021), and Jovanović et al. (2023)).

4.1 0049+003

The source was first detected by HEAO-2 onboard of the Einstein satellite (Harris et al. 1996). The large bright quasar survey identified it as a quasar through its spectrum and the redshift was found to be z = 0.399 (Hewett, Foltz & Chaffee 1995). Later using another spectral analysis its redshift estimation was confirmed and found that z = 0.399714 (Richards et al. 2015). Healey et al. (2007) classified it as an FSRQ. The absolute magnitude of the source was estimated to be Mi = −25.48 (Meusinger, Hinze & de Hoon 2011). In paper Jun & Im (2013) source was catalogued as the hot dust-poor quasar with logarithm of the mass of the central black hole and the ratio of bolometric luminosity to Eddington luminosity 8.43 ± 0.01 M and 0.959 ± 0.030, respectively, something similar was derived in paper Rakshit, Stalin & Kotilainen (2020) 8.425803 ± 0.018190, and logarithmic Eddington ratio −0.183588. In optical radio correlation study with optical data from SDSS and radio data from FIRST surveys, the optical/radio morphology of the object was classified as the optical/radio emission from the core of the source and extended radio jet emission in papers de Vries et al. (2004), and Kimball et al. (2011). Comparing two epochs of FIRST survey with the higher angular resolution data of 1.4 GHz survey of SDSS Stripe 82, two diffuse lobes were visible on either side of the core and morphological class of source was defined as: core-lobe morphology (core is surrounded by two distinct non-variable lobe components Hodge et al. 2013). Gu & Ai (2011) investigate the optical variability in r band using SDSS DR7 which released multi-epoch data covering about nine years. The source shows variation of Δr = 0.44 mag.

During our monitoring, the brightness changed by ∼0.5 magnitudes in V and R bands.The colour of the blazar has changed by ∼0.2 magnitude during observational duration and shows BWB variations. The BWB variations can be seen in Fig. C1 (colour–magnitude diagram) in Appendix  C.

4.2 0907+336

The source is also known as Ton 1015 and was for the first time noticed at the Tonantzintla Observatory in the second survey of blue stars in the north galactic pole, and its photographic magnitude was estimated to be 16 ± 0.5 (Chavira 1959). The source was detected in the radio band in a survey of faint sources at 5 GHz radio band by National Radio Astronomy Observatory (NRAO) (Davis 1971). In the cross-identification of optical and radio sources, the object was classified as a BL Lac and the redshift was estimated z  = 0.354 from spectrum (Bauer et al. 2000). Its synchrotron peak frequency |$\nu _{peak} = \rm {10}^{14.48}$| Hz was estimated and classified as an ISP, and radio to optical spectral index was found to be 0.28 in Fan et al. (2016). In other studies the source is classified as an HSP (e.g. Nieppola, Tornikoski & Valtaoja 2006; Ackermann et al. 2011; Chang et al. 2017; Mao & Urry 2017). We classify the source as HSP according to the value for |$\nu _{peak} = \rm {10}^{15.0}$| from Chang et al. (2017). Using broad-band SED modelling with synchrotron self-Compton (SSC)/Thomson model, its jet parameters were estimated (Chen 2018).

We noticed that in both bands the brightness decreases by ∼0.8 magnitude. A few outbursts in both bands occurred, three between 2014 March 01 and 2016 May 16, and one between 2017 October 18 and 2018 October 04. The colour also decreased by ∼0.2 magnitude during our observations. From colour–magnitude dependencies, we conclude that RWB variation is present, the colour index is smaller when the brightness of the blazar decreases, see Fig. C1 and Table 6.

4.3 1034+574

The source was discovered during Green Bank 4.85 GHz survey with NRAO 91-m telescope. The telescope was used for three surveys in 1986, 1987, and 1988, and two catalogues which contain this object were published in Becker, White & Edwards (1991), and Gregory & Condon (1991). The first time source was classified as BL Lac in paper Nass et al. (1996). The spectroscopic redshift z = 1.0957, together with absolute i magnitude −28.8, and the mass of the central black hole 109.89655M were determined during the Large Sky Area Multi-Object Fibre Spectroscopic Telescope (LAMOST) Quasar Survey (Dong et al. 2018). The classification of the source by synchrotron peak frequency position was discussed in a few papers. In the beginning the source was classified as ISP (Nieppola et al. (2006) and Ackermann et al. (2011)), and later as HSP (Fan et al. 2016; Mao & Urry 2017; Chang et al. 2019). We adopted for logνpeak = 15.5 value from Chang et al. (2019), the 3HSP catalogue of extreme and high synchrotron peaked blazars. Physical parameters of the jet were estimated by Chen (2018) using SSC/Thomson model.

During imaging of host galaxies in R band the source remains unresolved, only historical R = 15.99 ± 0.03 magnitude of the source core was recorded on 1998 December 16, by Nilsson et al. (2003). This object is one of the three, from our monitoring, with the highest brightness changes of about 1.3 magnitude. The colour has tendencies to change during time of observations (about 0.3 mag). From colour–magnitude dependencies we can conclude that small BWB variations are present, which is one of the characteristics of BL Lac objects. During TJO monitoring one outburst was detected.

4.4 1212+467

The source was discovered in 1400 MHz Green Bank radio sky survey (Maslowski 1972). In Roma-BZCAT Multifrequency Catalogue of Blazars, it was classified as a FSRQ (Massaro et al. 2015). Its spectroscopic redshift was determined to be z = 0.720154 (Richards et al. 2015). Radio morphology of the source was found to be lobe-core-lobe (Kimball et al. 2011). In the catalogue of Spectral Properties of Quasars from SDSS DR14 (Rakshit et al. 2020) are available the logarithmic fiducial single-epoch black hole mass calculated based on Hβ, Mg II, and C IV lines (8.891813 ± 0.057461), and logarithmic Eddington ratio based on fiducial single-epoch black hole mass (−0.707690). The logarithm of νpeak is estimated as 13.34 in Mao & Urry (2017). In paper (Krawczyk et al. 2015), it is given the spectral index difference (0.2) for the reddening law from Leighly et al. (2014).

The different values of V and R magnitudes were given in several catalogues. The R = 17.13 magnitude from catalogue of the class blazar survey given by Marchã et al. (2001) is close to the minimum value which we observed. With designation LQAC 183 + 046 007 source participates in the 1st and the 2nd Large Quasar Astrometric Catalogue which is a compilation of all the recorded quasars (Souchay et al. 2009, 2012). From the 1st LQAC catalogue, V = 17.77 and R = 17.42 magnitudes are close to our average magnitudes. In the 2nd LQAC catalogue, only V = 19.14 magnitude was presented and this is the highest magnitude ever observed. In both bands the brightness changes by about 0.8 magnitude, from 2013 to 2019. The slope and Pearson’s coefficient of colour–time and colour–magnitude dependencies are almost 0 with probability greater than 0.95. Colour values are in range of about 0.3 mag, around averaged value. We can not say that even tendencies are present because the slope and Pearson’s coefficient are close to 0, but with probability less than 0.95, we can say that this object shows nearly achromatic behaviour.

4.5 1242+574

The source was catalogued for the first time in the 87 GB catalogue (Gregory & Condon 1991). In the 12th edition of a catalogue of quasars and active nuclei, it was classified as BL Lac (Véron-Cetty & Véron 2006). Its spectroscopy redshift z = 0.99822855 was estimated (Richards et al. 2015). The source νpeak = 14.35 Hz in the observed frame (νfν), so is an ISP blazar (e.g. Ackermann et al. 2011; Mao & Urry 2017). The source is in 1st and 3rd Fermi-LAT catalogues of sources above 10 GeV (Ackermann et al. 2013; Acero et al. 2015). In the MST catalogue of γ-ray source candidates above 10 GeV the source has designation 9Y-MST J1244+5709 (Campana, Massaro & Bernieri 2018).

In both bands, the brightness change is 0.8 magnitude. Similarly as object 1212+467, we can say that this object shows nearly achromatic behaviour. The slope and Pearson’s coefficient of colour–time and colour–magnitude dependencies are negative, close to 0 and probability is greater than 0.05 and less than 0.95. The colour has tendencies to change during time of observations (almost 0.4 mag).

4.6 1429+249

The source was discovered in second MIT–Green Bank 5 GHz radio survey (Langston et al. 1990). With broad Balmer and other permitted lines in spectra, it was classified as a type 1 Seyfert galaxy in paper (Véron-Cetty & Véron 2006), and with general spectroscopic characteristics in paper (Sexton et al. 2022). In an all sky catalog of γ-ray blazars, the source was classified as a dual nature of both BL Lac as well as FSRQ (D’Abrusco et al. 2014). Its spectroscopic redshift was determined to be z = 0.40659 (Lehner et al. 2018). In the paper Rakshit et al. (2020) were provided the logarithmic black hole mass (8.658600 ± 0.027332), and logarithmic Eddington ratio (−0.853556), both calculated based on Hβ, Mg II, and C IV lines. Absolute i band magnitude is −24.134 from (Condon et al. 2013). The spectral index difference of 0.006 is given in paper (Krawczyk et al. 2015).

The source is known also as LQAC 217 + 024 010. In the 1st LQAC catalogue were given V = 16.09, and R = 17.43 magnitudes, and in the 2nd LQAC V = 17.68 and R = 17.44 (Souchay et al. 2009, 2012). The V from the 1st catalogue is lower than in R band (authors), and the remained values are out of range of our observed magnitudes. The brightness of the source changed by 0.5 and 0.3 magnitude during six years in V and R band, respectively. Abbé’s and F statistics for this object are close to the critical values. Abbé’s criterion shows that the object has systematic variations in relations to comparison star A in V band, and to both stars in R band. F-test shows that the object is variable only in V band. From the colour–magnitude relations we can say that the BWB variations are present.

4.7 1535+231

The authors of papers Arp (2001) and Arp et al. (2001) claim that the object is correlated to the nearby active galaxy Arp 2203 (z = 0.018) and most likely has been ejected from it, even the object is at 43.1 arcmin distance from the galaxy, and has higher redshift (z = 0.4627). Again in 2015 the redshift was determined by spectroscopy z = 0.462515, in Richards et al. (2015), when the object was classified as QSO. Based on mid-infrared colours of Wide-Field Infrared Survey Explorer the source was classified as mixed BL Lac and FSRQ blazar (D’Abrusco et al. 2019). The source was classified according to its general spectroscopic characteristics as type 1 Seyfert galaxy in paper Sexton et al. (2022). The logarithmic black hole mass (8.399292 ± 0.047624), and logarithmic Eddington ratio (−0.932017), both were calculated based on Hβ, Mg II, and C IV lines, were provided in the paper Rakshit et al. (2020). The spectral index difference according to Krawczyk et al. (2015) is 0.024.

In both bands, the brightness changed by about 0.9 magnitudes. The colour changed during time of observations almost a half magnitude. In case of colour–magnitude relations we can not say that RWB variations are present, only the RWB tendencies are present because the probability is greater than 0.05. This object is the faintest (average magnitudes are greater than 18 mag in both filters), which differs from the historical V = 17.7 given in Véron-Cetty & Véron (2001).

4.8 1556+335

The source was detected for the first time during NRAO 5 GHz radio survey of faint sources, which was initiated in 1967 and presented in Davis (1971). It was identified as QSO by Wills & Wills (1979), later as FSRQ by Massaro et al. (2015) in the 5th edition of the Roma-BZCAT Multifrequency Catalogue of Blazars. The first spectroscopic redshift z = 1.65 by Wills & Wills (1979) is similar to the one later determined by Richards et al. (2015), z = 1.653598. The presence of two absorption complexes in the spectrum could be explained with one of two models: one in which the source is directly responsible for velocities seen in both complexes, and the second in which complexes are related with two clusters, one cluster contains the source, while the other one is in the line of sight (Morris et al. 1986). The source radio morphology class was defined as core – a quasar with radio emission only at the optical position, in Kimball et al. (2011). Using spectral properties of quasar the logarithmic black hole mass (10.024996 ± 0.046142), and logarithmic Eddington ratio (−0.874986), were provided in the paper Rakshit et al. (2020). The νpeak is 13.92 (Mao & Urry 2017).

During our monitoring the object is variable only in V band in relation to star A. This is the most stable object from our list. The historical V = 17 magnitude, the lowest ever detected, was given in catalogue Hewitt & Burbidge (1987), and R = 16.94 (for 1996.523) in paper Helfand et al. (2001) is close to the average magnitude which we observed. For six years the brightness decreased by 0.2 mag in both bands. From the colour–time and colour–magnitude dependencies we can conclude that colour had not changed during time and that the achromatic behaviour is present.

4.9 1607+604

After NRAO 4.85 GHz survey the source was catalogued by Gregory & Condon (1991) and Becker et al. (1991) in second paper source was marked as extended. The redshift and classification as RL quasar are obtained by spectroscopy in Laurent-Muehleisen et al. (1998). The authors of D’Abrusco et al. (2014) classified the object as BL Lac. The radio and optical cross-identification of the source was accomplished by authors of paper Bauer et al. (2000). They presented the source redshift z = 0.178, and radio emission as extended and resolved into three components.

During time of observations the brightness changes by 0.5 and 0.4 magnitudes in V and R bands, respectively. The colour has tendencies to change by about 0.4 mag. In case of colour–magnitude relations we can say that BWB variations are present.

4.10 1612+378

In the 5th edition of the Roma-BZCAT Multifrequency Catalogue of Blazars the source was classified as FSRQ. The redshift z = 1.531239 determined by spectroscopy was given in Richards et al. (2015). Absolute i magnitude of −28.332 mag is obtained in paper Rafiee & Hall (2011). As 1556+335, the radio morphology was classified as core in Kimball et al. (2011) and the logarithmic black hole mass (9.684895 ± 0.084033), and logarithmic Eddington ratio (−0.454582), were provided in the paper Rakshit et al. (2020). The source is ISP, its synchrotron peak frequency is logνpeak = 14.16, derived in Mao & Urry (2017).

In both bands, amplitudes of the brightness changes are 0.4 mag. The amplitude of colour changes is about 0.2 mag. In case of colour–magnitude relations we can say that BWB variations are present, which is one of the characteristics of BL Lac objects.

4.11 1722+119

This is one of the first discovered BL Lac objects. For the first time it appeared in the fourth Uhuru catalogue of X-ray sources Forman et al. (1978). After a decade the object was independently classified as BL Lac, and its redshift estimation was given in papers Griffiths et al. (1989) z = 0.018, and Brissenden et al. (1990) z > 0.1, and historical magnitude was V = 16.6 mag on 1979, Griffiths et al. (1989). In Ahnen et al. (2016) new redshift was given 0.34 ± 0.15. The object is the one of the sources detected with MAGIC in TeV, announced by Cortina (2013). The MAGIC observations were triggered by the optical outburst on 2013 May when the R-band magnitude reached 14.65 mag which was the biggest ever observed since 2005, when the Tuorla blazar monitoring programme started. According to the position of the synchrotron peak frequency object is HSP confirmed by Nieppola et al. (2006), Ackermann et al. (2011), and Chang et al. (2019). Chang et al. (2019) included this source in the third catalogue of extremely and high-synchrotron peaked blazars, with logνpeak = 15.7. Jet properties of source were analysed but only the core temperature was obtained to be higher than 10.7 K in Lister et al. (2011), its physical parameters were estimated by Chen (2018) using SSC/Klein–Nishina model.

During 2008–2012, variability in R band was present, but BR chromatism in the ∼1 magnitude range of R band has not been revealed, in Wierzcholska et al. (2015). Since 2011 the authors of Taris et al. (2016) investigated the long term periodicity in V and R bands using Lomb–Scargle method and CLEANEST algorithm (Roberts, Lehar & Dreher 1987). Period was discovered only in R band of 432 d with Lomb–Scargle method, and 435.7 d with CLEANEST algorithm. In Taris et al. (2018) was detected period of 35 d of variability in optical G band, for period of observations from 2013 to 2016. In June 2015 during three hours of monitoring, object did not show the variability in V band, showed possible variability in R band, and a strong RWB trend of the optical spectrum (Kalita, Gupta & Gu (2021)). The authors of paper Lindfors et al. (2016) discovered correlation between optical R band and radio light curves at 15 GHz. Brightness variability in data collected over 12 yr in X-ray was analysed by Rani, Wiita & Gupta (2009). The period of about one year was explained as observational artefact.

With almost 2 magnitude changes in brightness this object has the highest brightness changes. In the R band has the maximum brightness 14.371 mag on the date 2016 August 28 (this period was not covered with observations in V band), the next maximum of 14.458 mag occurred on 2018 July 20, and was detected in V band of 14.888 mag. The slope and Pearson’s coefficient of colour–time is positive, but close to 0, with a probability close to 0.9. The slope of the colour–magnitude dependencies is around 0, Pearson’s coefficient is positive. The colour has small tendencies to change during time of observations. From colour–magnitude dependencies we can conclude that BWB variations are present, but we noted that during observational period two tendencies of colour variation in dependence of R magnitude are present. One in the beginning of observations from 2013 to 2016, and the second from 2016 to the end of observational cycle. If we separate the data in two sections in first three years RWB tendencies, and in the next three years period BWB variations were present, see Table 11 and Fig. 8. In the second period were detected both minimum and maximum of object brightness. In the last 300 d brightness decreased by 1.6 magnitude, and reached the minimum 16.8 and 16.3 mag in V and R band, respectively.

Light curve of 1722+119; colour–magnitude diagrams 2013–2016 (left-bottom), and 2016–2019 (right-bottom).
Figure 8.

Light curve of 1722+119; colour–magnitude diagrams 2013–2016 (left-bottom), and 2016–2019 (right-bottom).

Table 11.

The colour – magnitude dependencies for 1722+119.

SourceSlopeInterceptrP
Before 2016−0.051 ± 0.0181.21 ± 0.28−0.320.1510
After 20160.034 ± 0.006−0.08 ± 0.080.640.0012
SourceSlopeInterceptrP
Before 2016−0.051 ± 0.0181.21 ± 0.28−0.320.1510
After 20160.034 ± 0.006−0.08 ± 0.080.640.0012

Note. r – Pearson’s coefficient and P – null hypothesis probability.

Table 11.

The colour – magnitude dependencies for 1722+119.

SourceSlopeInterceptrP
Before 2016−0.051 ± 0.0181.21 ± 0.28−0.320.1510
After 20160.034 ± 0.006−0.08 ± 0.080.640.0012
SourceSlopeInterceptrP
Before 2016−0.051 ± 0.0181.21 ± 0.28−0.320.1510
After 20160.034 ± 0.006−0.08 ± 0.080.640.0012

Note. r – Pearson’s coefficient and P – null hypothesis probability.

4.12 1741+597

The source was catalogued in the same year in two papers Gregory & Condon (1991) and Becker et al. (1991). In Laurent-Muehleisen et al. (1998) the source was classified as BL Lac. The redshift was determined by photometry z = 0.415 by Richards et al. (2009). The source is ISP according to papers Nieppola et al. (2006) and Ackermann et al. (2011). We adopt logνpeak = 15.20 given in Mao & Urry (2017) and classify source as HPS. With the name 9Y-MST J1742+5946 source is in the MST catalogue of γ-ray source candidates above 10 GeV (Campana et al. 2018). In Chen (2018) are estimated physical parameters of jet using SSC/Thomson model.

The host galaxy was detected by Nilsson et al. (2003), the R-band magnitude of nucleus (17.06 ± 0.03) and host galaxy (19.33 ± 0.06) with effective radius of 1.6 ± 0.2 arcsec were presented in the paper. This source is the second one with respect to the brightness change, with about 1.6 mag. In the last 250 d object became brighter by 1.2 magnitude. The colour has tendencies to change during time of observations, these changes are about 0.3 mag. From colour–magnitude dependencies we can conclude that BWB variations are present.

5 DISCUSSIONS AND CONCLUSIONS

To understand the emission mechanism of blazars on diverse time-scales, flux variability study play an important role and can provide the information about emitting region, for example, size, location, and its dynamics (Ciprini et al. 2003). Variability in blazars can be of intrinsic as well as of extrinsic nature. The extrinsic variability in blazars is caused by frequency-dependent interstellar scintillation and is found to be dominant mechanism in low-frequency radio observations (Wagner & Witzel 1995). Intrinsic mechanism operates across whole EM spectrum and include directly those causing variation in the jet emission. In blazars, the Doppler boosted non-thermal radiation from the jet dominates on the thermal emission from the accretion disc (e.g. Chakrabarti & Wiita 1993; Mangalam & Wiita 1993; Urry & Padovani 1995; Wagner & Witzel 1995; Ulrich et al. 1997; Blandford, Meier & Readhead 2019, and references therein). On diverse time-scales such as IDV, STV, and LTV variability in blazars can be explained by various jet based models, for example, shock-in-jet, turbulence behind the shock, or other irregularities in the jet flow produced by variations in the outflow parameters (e.g. Blandford & Königl 1979; Marscher & Gear 1985; Bhatta et al. 2013; Marscher 2014; Calafut & Wiita 2015, and references therein). Variation in the jet geometry due to changing jet direction may lead to the variations in the Doppler factor and Lorentz factor of the relativistic blobs moving along the jet, which in turn can lead to STV and LTV in the blazar (Hovatta et al. 2009). During the low flux states of blazars, the variability can be attributed to accretion disc instabilities since thermal radiation from the central region of blazars may dominate over jet emission (Chakrabarti & Wiita 1993; Mangalam & Wiita 1993).

The variation of Doppler factor can cause slight deviation in the optical spectra of the blazar from a power law which leads to a BWB trend (Villata et al. 2006). The increase in brightness of the blazar due to injection of fresh electrons with an energy distribution harder than that of the previously cooled ones can also cause BWB trend (Kirk, Rieger & Mastichiadis 1998; Mastichiadis & Kirk 2002). A RWB trend indicates an increase of thermal contribution at the blue end of the spectrum, with decrease in non-thermal jet emission (Villata et al. 2006; Gaur, Gupta & Wiita 2012a). The presence of both BWB and RWB trends in some blazars can be explained by superposition of both blue and red emission components where the redder one is attributed to the synchrotron radiation from the relativistic jet while the blue component could come from the thermal emission from the accretion disc.

In this paper, we analysed the multiband optical photometric data of 12 blazars selected from a sample of 47 AGNs detected by Bourda et al. (2011). Among these 12 blazars: 6 are BL Lacs, 4 are FSRQs, and 2 show dual nature of BL Lac/FSRQ. During 2013 April 14–2019 August 08, the optical photometric observations of these blazars were carried out in V and R passbands using 8 telescopes located in 4 countries in Europe. In our ∼ six years of observations, most of the blazars have shown significant flux and colour variations on STV and LTV time-scales, and the variability pattern in V and R bands found to be similar. On the LTV time-scale, the minimum variation of ∼ 0.2 mag is found in the blazar 1556+335 while the maximum variation of ∼ 2.0 mag is found in two blazars, namely 1722+119 and 1741+597. Four BL Lacs, two FSRQs and one blazar with dual nature show BWB trend. RWB trend is displayed by one BL Lac and one blazar with dual nature. The BL Lac 1722+119 shows RWB trend in the first about three years of observations, and BWB trend in the next about three years of observations. These trends show that in our sample of blazars and their observations, the most commonly found trends, for example, BWB in BL Lacs and RWB in FSRQs (e.g. Gu et al. 2006; Gaur et al. 2012b; Gupta et al. 2017b, and references therein) were not always found. In future, we plan observations of more densely sampled light curves for extended period of time for these as well as several other blazars to make a better conclusion on BWB and RWB trends of BL Lacs and FSRQs.

SUPPORTING INFORMATION

Table 3. Examples of observations from 2013 to 2019 in V and R bands.

Please note: Oxford University Press is not responsible for the content or functionality of any supporting materials supplied by the authors. Any queries (other than missing material) should be directed to the corresponding author for the article.

ACKNOWLEDGEMENTS

This research was supported by the Ministry of Science, Technological Development and Innovation of the Republic of Serbia (contract number 451-03-47/2023-01/200002). GD and MDJ acknowledge the financial support by the European Commission through project BELISSIMA (BELgrade Initiative for Space Science, Instrumentation and Modelling in Astrophysics, call FP7-REGPOT-2010-5, contract No. 256772) which was used to procure the ‘Milanković’ 1.40 m telescope with support from the Ministry of Education, Science and Technological Development of the Republic of Serbia. GD acknowledges the support through the project F-187 of the Serbian Academy of Sciences and Arts, and the observing and financial grant support from the Institute of Astronomy and Rozhen NAO BAS through the bilateral joint research project Gaia Celestial Reference Frame (CRF) and fast variable astronomical objects’ (2020–2022; head - G. Damljanovic). ACG is partially supported by Chinese Academy of Sciences (CAS) President’s International Fellowship Initiative (PIFI) (grant number 2016VMB073).

Funding for the Sloan Digital Sky Survey IV has been provided by the Alfred P. Sloan Foundation, the U.S. Department of Energy Office of Science, and the Participating Institutions. SDSS-IV acknowledges support and resources from the Centre for High-Performance Computing at the University of Utah. The SDSS web site is www.sdss.org. SDSS-IV is managed by the Astrophysical Research Consortium for the Participating Institutions of the SDSS Collaboration including the Brazilian Participation Group, the Carnegie Institution for Science, Carnegie Mellon University, the Chilean Participation Group, the French Participation Group, Harvard-Smithsonian Centre for Astrophysics, Instituto de Astrofísica de Canarias, The Johns Hopkins University, Kavli Institute for the Physics and Mathematics of the Universe (IPMU)/University of Tokyo, the Korean Participation Group, Lawrence Berkeley National Laboratory, Leibniz Institut für Astrophysik Potsdam (AIP), Max-Planck-Institut für Astronomie (MPIA Heidelberg), Max-Planck-Institut für Astrophysik (MPA Garching), Max-Planck-Institut für Extraterrestrische Physik (MPE), National Astronomical Observatories of China, New Mexico State University, New York University, University of Notre Dame, Observatário Nacional/MCTI, The Ohio State University, Pennsylvania State University, Shanghai Astronomical Observatory, United Kingdom Participation Group, Universidad Nacional Autónoma de México, University of Arizona, University of Colorado Boulder, University of Oxford, University of Portsmouth, University of Utah, University of Virginia, University of Washington, University of Wisconsin, Vanderbilt University, and Yale University.

DATA AVAILABILITY

The light curves presented in this paper will be published in the electronic version of the Journal and in the CDS Vizier service (https://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/522/767), with the form illustrated in Table 3.

Footnotes

1

Image Reduction and Analysis Facility, a general purpose software system for the reduction and analysis of astronomical data. IRAF is distributed by the National Optical Astronomy Observatories, which are operated by the Association of Universities for Research in Astronomy, Inc., under cooperative agreement with the National Science Foundation.

3

Also known as IC 4553 – galaxy merging system with two nuclei.

References

Abdo
A. A.
et al. ,
2010
,
ApJ
,
716
,
L30

Abolfathi
B.
et al. ,
2018
,
ApJS
,
235
,
42

Abrahamyan
H. V.
,
Mickaelian
A. M.
,
Paronyan
G. M.
,
Mikayelyan
G. A.
,
2019
,
Astronomische Nachrichten
,
340
,
437

Acero
F.
et al. ,
2015
,
ApJS
,
218
,
23

Ackermann
M.
et al. ,
2011
,
ApJ
,
743
,
L171

Ackermann
M.
et al. ,
2013
,
ApJS
,
209
,
34

Ahnen
M. L.
et al. ,
2016
,
MNRAS
,
459
,
3271

Arp
H.
,
2001
,
ApJ
,
549
,
L780

Arp
H. C.
,
Burbidge
E. M.
,
Chu
Y.
,
Zhu
X.
,
2001
,
ApJ
,
553
,
L11

Bauer
F. E.
,
Condon
J. J.
,
Thuan
T. X.
,
Broderick
J. J.
,
2000
,
ApJS
,
129
,
547

Becker
R. H.
,
White
R. L.
,
Edwards
A. L.
,
1991
,
ApJS
,
75
,
1

Bessell
M. S.
,
Castelli
F.
,
Plez
B.
,
1998
,
A&A
,
333
,
231

Bhatta
G.
,
2021
,
ApJ
,
923
,
L7

Bhatta
G.
et al. ,
2013
,
A&A
,
558
,
92

Bhatta
G.
et al. ,
2023
,
MNRAS
,
520
,
2633

Blandford
R. D.
,
Königl
A.
,
1979
,
ApJ
,
232
,
L34

Blandford
R.
,
Meier
D.
,
Readhead
A.
,
2019
,
ARA&A
,
57
,
467

Böttcher
M.
,
2007
,
Ap&SS
,
309
,
95

Bourda
G.
,
Charlot
P.
,
Porcas
R. W.
,
Garrington
S. T.
,
2010
,
A&A
,
520
,
113

Bourda
G.
,
Collioud
A.
,
Charlot
P.
,
Porcas
R.
,
Garrington
S.
,
2011
,
A&A
,
526
,
102

Brissenden
R. J. V.
,
Remillard
R. A.
,
Tuohy
I. R.
,
Schwartz
D. A.
,
Hertz
P. L.
,
1990
,
ApJ
,
350
,
L578

Calafut
V.
,
Wiita
P. J.
,
2015
,
JA&A
,
36
,
255

Campana
R.
,
Massaro
E.
,
Bernieri
E.
,
2018
,
A&A
,
619
,
23

Chakrabarti
S. K.
,
Wiita
P. J.
,
1993
,
ApJ
,
411
,
L602

Chang
Y. L.
,
Arsioli
B.
,
Giommi
P.
,
Padovani
P.
,
2017
,
A&A
,
598
,
17

Chang
Y. L.
,
Arsioli
B.
,
Giommi
P.
,
Padovani
P.
,
Brandt
C. H.
,
2019
,
A&A
,
632
,
77

Charlot
P.
et al. ,
2020
,
A&A
,
644
,
159

Chavira
E.
,
1959
,
Boletin de los Observatorios Tonantzintla y Tacubaya
,
2
,
3

Chen
L.
,
2018
,
ApJS
,
235
,
39

Chonis
T. S.
,
Gaskell
C. M.
,
2008
,
AJ
,
135
,
264

Ciprini
S.
,
Tosti
G.
,
Raiteri
C. M.
,
Villata
M.
,
Ibrahimov
M. A.
,
Nucciarelli
G.
,
Lanteri
L.
,
2003
,
A&A
,
400
,
487

Condon
J. J.
,
Kellermann
K. I.
,
Kimball
A. E.
,
Ivezić
Ž.
,
Perley
R. A.
,
2013
,
ApJ
,
768
,
L37

Cortina
J.
,
2013
,
ATel
,
5080
,
1

D’Abrusco
R.
,
Massaro
F.
,
Paggi
A.
,
Smith
H. A.
,
Masetti
N.
,
Landoni
M.
,
Tosti
G.
,
2014
,
ApJS
,
215
,
14

D’Abrusco
R.
et al. ,
2019
,
ApJS
,
242
,
4

Damljanović
G.
,
Taris
F.
,
Jovanović
M. D.
,
2020
, in
Bizouard
C.
, ed.,
Proceedings of the Journées 2019, Observatoire de Paris, Paris, France, 7–9 October 2019
.
Astrometry, Earth Rotation, and Reference Systems in the GAIA era
, p.
21

Davis
M. M.
,
1971
,
AJ
,
76
,
980

de Diego
J. A.
,
2010
,
AJ
,
139
,
1269

de Vries
W. H.
,
Becker
R. H.
,
White
R. L.
,
Helfand
D. J.
,
2004
,
AJ
,
127
,
2565

Dong
X. Y.
et al. ,
2018
,
AJ
,
155
,
189

Doroshenko
V. T.
,
Efimov
Y. S.
,
Borman
G. A.
,
Pulatova
N. G.
,
2014
,
Astrophys.
,
57
,
176

Fan
J. H.
et al. ,
2016
,
ApJS
,
226
,
20

Feissel-Vernier
M.
,
2003
,
A&A
,
403
,
105

Forman
W.
,
Jones
C.
,
Cominsky
L.
,
Julien
P.
,
Murray
S.
,
Peters
G.
,
Tananbaum
H.
,
Giacconi
R.
,
1978
,
ApJS
,
38
,
357

Fossati
G.
,
Maraschi
L.
,
Celotti
A.
,
Comastri
A.
,
Ghisellini
G.
,
1998
,
MNRAS
,
299
,
433

Gaia Collaboration
et al. ,
2022
,
preprint
  ()

Gattano
C.
,
Lambert
S. B.
,
Le Bail
K.
,
2018
,
A&A
,
618
,
80

Gaur
H.
,
Gupta
A. C.
,
Wiita
P. J.
,
2012a
,
AJ
,
143
,
23

Gaur
H.
et al. ,
2012b
,
MNRAS
,
425
,
3002

Gopal-Krishna
,
Sagar
R.
,
Wiita
P. J.
,
1993
,
MNRAS
,
262
,
963

Gregory
P. C.
,
Condon
J. J.
,
1991
,
ApJS
,
75
,
1011

Griffiths
R. E.
,
Wilson
A. S.
,
Ward
M. J.
,
Tapia
S.
,
Ulvestad
J. S.
,
1989
,
MNRAS
,
240
,
33

Gu
M. F.
,
Ai
Y. L.
,
2011
,
A&A
,
528
,
95

Gu
M. F.
,
Lee
C. U.
,
Pak
S.
,
Yim
H. S.
,
Fletcher
A. B.
,
2006
,
A&A
,
450
,
39

Gupta
A. C.
,
Banerjee
D. P. K.
,
Ashok
N. M.
,
Joshi
U. C.
,
2004
,
A&A
,
422
,
505

Gupta
A. C.
et al. ,
2017a
,
MNRAS
,
465
,
4423

Gupta
A. C.
et al. ,
2017b
,
MNRAS
,
472
,
788

Hald
A.
,
1952
,
Statistical Theory with Engineering Applications
.
Wiley
,
New York–London

Harris
 
D. E.
et al. ,
1996
,
VizieR Online Data Catalog
:
The 2E Catalogue (Harris+ 1994)
,
IX/13

Healey
S. E.
,
Romani
R. W.
,
Taylor
G. B.
,
Sadler
E. M.
,
Ricci
R.
,
Murphy
T.
,
Ulvestad
J. S.
,
Winn
J. N.
,
2007
,
ApJS
,
171
,
61

Heidt
J.
,
Wagner
S. J.
,
1996
,
A&A
,
305
,
42

Helfand
D. J.
,
Stone
R. P. S.
,
Willman
B.
,
White
R. L.
,
Becker
R. H.
,
Price
T.
,
Gregg
M. D.
,
McMahon
R. G.
,
2001
,
AJ
,
121
,
1872

Hewett
P. C.
,
Foltz
C. B.
,
Chaffee
F. H.
,
1995
,
AJ
,
109
,
1498

Hewitt
A.
,
Burbidge
G.
,
1987
,
ApJS
,
63
,
1

Hodge
J. A.
,
Becker
R. H.
,
White
R. L.
,
Richards
G. T.
,
2013
,
ApJ
,
769
,
L125

Hovatta
T.
,
Valtaoja
E.
,
Tornikoski
M.
,
Lähteenmäki
A.
,
2009
,
A&A
,
494
,
527

Isler
J. C.
,
Urry
C. M.
,
Coppi
P.
,
Bailyn
C.
,
Brady
M.
,
MacPherson
E.
,
Buxton
M.
,
Hasan
I.
,
2017
,
ApJ
,
844
,
L107

Jovanović
M. D.
,
2019
,
Serbian Astronomical Journal
,
199
,
55

Jovanović
M. D.
,
Damljanović
G.
,
2020
,
Bulgarian Astronomical Journal
,
33
,
38

Jovanović
M. D.
,
Damljanović
G.
,
Cvetković
Z.
,
Pavlović
R.
,
Stojanović
M.
,
2020
,
Publications of the Astronomical Society ‘Rudjer Boskovic’
,
20
,
23

Jovanović
M. D.
,
Damljanović
G.
,
Taris
F.
,
2021
, in
XIX Serbian Astronomical Conference
,
Publ. Astron. Obs. Belgrade No. 100
, p.
253

Jovanovic
M. D.
,
Damljanovic
G.
,
Vince
O.
,
2018
, in
Proceedings of the XI Bulgarian-Serbian Astronomical Conference
,
Publications of the Astronomical Society ‘Rudjer Bošković’ No 18
, p.
197

Jovanović
M. D.
,
Damljanović
G.
,
Taris
F.
,
2023
, in
Proceedings of the XIII Bulgarian-Serbian Astronomical Conference Velingrad
,
Publ. Astron. Soc. ‘Rudjer Bošković’ No 25
, p.
75

Jun
H. D.
,
Im
M.
,
2013
,
ApJ
,
779
,
L104

Kalita
N.
,
Gupta
A. C.
,
Gu
M.
,
2021
,
ApJS
,
257
,
41

Kimball
A. E.
,
Ivezić
Ž.
,
Wiita
P. J.
,
Schneider
D. P.
,
2011
,
AJ
,
141
,
182

Kirk
J. G.
,
Rieger
F. M.
,
Mastichiadis
A.
,
1998
,
A&A
,
333
,
452

Krawczyk
C. M.
,
Richards
G. T.
,
Gallagher
S. C.
,
Leighly
K. M.
,
Hewett
P. C.
,
Ross
N. P.
,
Hall
P. B.
,
2015
,
AJ
,
149
,
203

Langston
G. I.
,
Heflin
M. B.
,
Conner
S. R.
,
Lehar
J.
,
Carilli
C. L.
,
Burke
B. F.
,
1990
,
ApJS
,
72
,
621

Laurent-Muehleisen
S. A.
,
Kollgaard
R. I.
,
Ciardullo
R.
,
Feigelson
E. D.
,
Brinkmann
W.
,
Siebert
J.
,
1998
,
ApJS
,
118
,
127

Lehner
N.
,
Wotta
C. B.
,
Howk
J. C.
,
O’Meara
J. M.
,
Oppenheimer
B. D.
,
Cooksey
K. L.
,
2018
,
ApJ
,
866
,
L33

Leighly
K. M.
,
Terndrup
D. M.
,
Baron
E.
,
Lucy
A. B.
,
Dietrich
M.
,
Gallagher
S. C.
,
2014
,
ApJ
,
788
,
L123

Lemeshko
S.
,
2006
,
Measurement Techniques
,
49
,
962

Lindfors
E. J.
et al. ,
2016
,
A&A
,
593
,
98

Lister
M. L.
et al. ,
2011
,
ApJ
,
742
,
L27

Malkin
Z. M.
,
2013
,
Astron. Rep.
,
57
,
128

Mangalam
A. V.
,
Wiita
P. J.
,
1993
,
ApJ
,
406
,
L420

Mao
P.
,
Urry
C. M.
,
2017
,
ApJ
,
841
,
L113

Marcha
M. J. M.
,
Browne
I. W. A.
,
Impey
C. D.
,
Smith
P. S.
,
1996
,
MNRAS
,
281
,
425

Marchã
M. J.
,
Caccianiga
A.
,
Browne
I. W. A.
,
Jackson
N.
,
2001
,
MNRAS
,
326
,
1455

Marscher
A. P.
,
2014
,
ApJ
,
780
,
L87

Marscher
A. P.
,
Gear
W. K.
,
1985
,
ApJ
,
298
,
L114

Maslowski
J.
,
1972
,
Acta Astron.
,
22
,
227

Massaro
E.
,
Maselli
A.
,
Leto
C.
,
Marchegiani
P.
,
Perri
M.
,
Giommi
P.
,
Piranomonte
S.
,
2015
,
Ap&SS
,
357
,
75

Mastichiadis
A.
,
Kirk
J. G.
,
2002
,
PASA
,
19
,
138

Meusinger
H.
,
Hinze
A.
,
de Hoon
A.
,
2011
,
A&A
,
525
,
37

Miller
H. R.
,
Carini
M. T.
,
Goodrich
B. D.
,
1989
,
Nature
,
337
,
627

Morris
S. L.
,
Weymann
R. J.
,
Foltz
C. B.
,
Turnshek
D. A.
,
Shectman
S.
,
Price
C.
,
Boroson
T. A.
,
1986
,
ApJ
,
310
,
L40

Nass
P.
,
Bade
N.
,
Kollgaard
R. I.
,
Laurent-Muehleisen
S. A.
,
Reimers
D.
,
Voges
W.
,
1996
,
A&A
,
309
,
419

Nieppola
E.
,
Tornikoski
M.
,
Valtaoja
E.
,
2006
,
A&A
,
445
,
441

Nilsson
K.
,
Pursimo
T.
,
Heidt
J.
,
Takalo
L. O.
,
Sillanpää
A.
,
Brinkmann
W.
,
2003
,
A&A
,
400
,
95

Pininti
V. R.
,
Bhatta
G.
,
Paul
S.
,
Kumar
A.
,
Rajgor
A.
,
Barnwal
R.
,
Gharat
S.
,
2023
,
MNRAS
,
518
,
1459

Pukelsheim
F.
,
1994
,
The American Statistician
,
48
,
88

Rafiee
A.
,
Hall
P. B.
,
2011
,
ApJS
,
194
,
42

Rakshit
S.
,
Stalin
C. S.
,
Kotilainen
J.
,
2020
,
ApJS
,
249
,
17

Rani
B.
,
Wiita
P. J.
,
Gupta
A. C.
,
2009
,
ApJ
,
696
,
L2170

Razali
N. M.
et al. ,
2011
,
J. Stat. Model. Anal.
,
2
,
21

Richards
G. T.
et al. ,
2009
,
ApJS
,
180
,
67

Richards
G. T.
et al. ,
2015
,
ApJS
,
219
,
39

Roberts
D. H.
,
Lehar
J.
,
Dreher
J. W.
,
1987
,
AJ
,
93
,
968

Schlafly
E. F.
,
Finkbeiner
D. P.
,
2011
,
ApJ
,
737
,
L103

Sexton
R. O.
,
Secrest
N. J.
,
Johnson
M. C.
,
Dorland
B. N.
,
2022
,
ApJS
,
260
,
33

Souchay
J.
et al. ,
2009
,
A&A
,
494
,
799

Souchay
J.
,
Andrei
A. H.
,
Barache
C.
,
Bouquillon
S.
,
Suchet
D.
,
Taris
F.
,
Peralta
R.
,
2012
,
A&A
,
537
,
99

Spano
M.
,
Mowlavi
N.
,
Eyer
L.
,
Burki
G.
,
Marquette
J. B.
,
Lecoeur-Taïbi
I.
,
Tisserand
P.
,
2011
,
A&A
,
536
,
60

Stickel
M.
,
Padovani
P.
,
Urry
C. M.
,
Fried
J. W.
,
Kuehr
H.
,
1991
,
ApJ
,
374
,
L431

Strunov
V.
,
2006
,
Measurement Techniques
,
49
,
755

Taris
F.
,
Andrei
A.
,
Roland
J.
,
Klotz
A.
,
Vachier
F.
,
Souchay
J.
,
2016
,
A&A
,
587
,
112

Taris
F.
,
Damljanovic
G.
,
Andrei
A.
,
Souchay
J.
,
Klotz
A.
,
Vachier
F.
,
2018
,
A&A
,
611
,
52

Tody
D.
,
1986
, in
Crawford
D. L.
, ed.,
SPIE Conf. Ser. Vol. 627, Instrumentation in Astronomy VI
, p.
733

Tody
D.
,
1993
, in
Hanisch
R. J.
,
Brissenden
R. J. V.
,
Barnes
J.
, eds,
ASP Conf. Ser. Vol. 52, Astronomical Data Analysis Software and Systems II
, p.
173

Ulrich
M.-H.
,
Maraschi
L.
,
Urry
C. M.
,
1997
,
ARA&A
,
35
,
445

Urry
C. M.
,
Padovani
P.
,
1995
,
PASP
,
107
,
803

van Dokkum
P. G.
,
2001
,
PASP
,
113
,
1420

Véron-Cetty
M. P.
,
Véron
P.
,
2001
,
A&A
,
374
,
92

Véron-Cetty
M. P.
,
Véron
P.
,
2006
,
A&A
,
455
,
773

Villata
M.
et al. ,
2006
,
A&A
,
453
,
817

von Montigny
C.
et al. ,
1995
,
ApJ
,
440
,
L525

Wagner
S. J.
,
Witzel
A.
,
1995
,
ARA&A
,
33
,
163

Wierzcholska
A.
,
Ostrowski
M.
,
Stawarz
Ł.
,
Wagner
S.
,
Hauser
M.
,
2015
,
A&A
,
573
,
69

Wills
B. J.
,
Wills
D.
,
1979
,
ApJS
,
41
,
689

Zajaček
M.
et al. ,
2019
,
A&A
,
630
,
83

APPENDIX A: LIGHT CURVES OF V AND R BAND

Figure A1.

Light curves of sources: 0049+003, 0907+336, 1034+574, 1212+467, 1242+574, 1429+249, 1535+231, 1556+335, 1607+604, 1612+378, 1722+119, and 1741+597.

APPENDIX B: LIGHT CURVES OF COLOUR INDICES V – R VARIABILITY DURING TIME

Figure B1.

The light curves of colour indices VR variability during period 2013 April–2019 August of sources: 0049+003, 0907+336, 1034+574, 1212+467, 1242+574, 1429+249, 1535+231, 1556+335, 1607+604, 1612+378, 1722+119, and 1741+597. Details of all sources can be found in Table 5.

APPENDIX C: THE CORRELATION BETWEEN COLOUR INDICES V – R AND R-BAND MAGNITUDE

Figure C1.

The correlation between colour indices VR and R-band magnitude of 0049+003, 0907+336, 1034+574, 1212+467, 1242+574, 1429+249, 1535+231, 1556+335, 1607+604, 1612+378, 1722+119, and 1741+597, with colour bars which indicate the progression of time. Details for all sources can be found in Table 6.

APPENDIX D: SED

APPENDIX E: VARIATIONS OF OPTICAL SPECTRAL INDEX DURING TIME

APPENDIX F: VARIATIONS OF OPTICAL SPECTRAL INDEX WITH RESPECT TO R MAGNITUDE

This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://dbpia.nl.go.kr/journals/pages/open_access/funder_policies/chorus/standard_publication_model)

Supplementary data