Open Access
Issue
A&A
Volume 681, January 2024
Article Number A35
Number of page(s) 5
Section Extragalactic astronomy
DOI https://doi.org/10.1051/0004-6361/202347357
Published online 05 January 2024

© The Authors 2024

Licence Creative CommonsOpen Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

This article is published in open access under the Subscribe to Open model. Subscribe to A&A to support open access publication.

1. Introduction

During the visual examination of Dark Energy Camera Legacy Survey (DECaLS; Dey et al. 2019) data of the southern galaxy NGC 1031, a serendipitous discovery was made: a previously unknown ringed galaxy located ∼36′ south-east of NGC 1031. It has a distinctive combination of morphological and photometric characteristics, suggesting it might be classified as a polar ring galaxy (PRG).

Polar ring galaxies are a rare class of galaxies composed of two distinct components: a host galaxy and a ring that orbit in a nearly polar or orthogonal plane (Whitmore et al. 1990). The central spheroid component is morphologically an E/S0 type galaxy with an old stellar population (Reshetnikov & Combes 2015), whereas the ring component contains young stars (Iodice et al. 2002). The proposed mechanisms for the formation of PRGs are galaxy mergers (Bekki 1998; Bournaud & Combes 2003), accretion from other galaxies (Reshetnikov & Sotnikova 1997; Bournaud & Combes 2003), and cold accretion from intergalactic medium filaments (Macciò et al. 2006; Brook et al. 2008). Moreover, the morphology of the polar structures varies widely and can take the form of a narrow ring, a wide annulus, a spindle, or even an inner polar structure (Iodice 2014).

Despite the distinctive morphological and physical characteristics that PRGs exhibit, they remain highly uncommon. About 400 possible PRGs have been identified to date (Whitmore et al. 1990; Moiseev et al. 2011; Reshetnikov & Mosenkov 2019). However, spectroscopic observations have only confirmed a few dozen PRGs (Whitmore et al. 1990; Reshetnikov et al. 2011), as the confirmation process is challenging. Utilising photometry to identify PRG candidates, we can streamline the selection process for spectroscopic observations of PRGs and enhance the confirmation rate. Detecting and confirming new PRGs is valuable as they offer unique opportunities to study the dynamics of galaxies, understand the formation processes of peculiar structures (Ordenes-Briceño et al. 2016), investigate the effects of galaxy interactions (Combes 2004), and probe the nature of dark matter (Lüghausen et al. 2013; Khoperskov et al. 2014). These peculiar objects are easily identifiable when their central component and polar ring are observed edge-on (Iodice 2014; Nishimura et al. 2022). The process of recognising a face-on ringed galaxy as a PRG involves the utilisation of various scientific methods. Whitmore et al. (1990) developed a classification scheme to identify PRG candidates based on their morphology, kinematics, and orientation. Their catalogue consists of a total of 157 objects. Among them, only six objects already had a kinematic confirmation, and 27 galaxies were included in the category of “good” candidates. In addition, Moiseev et al. (2011) identified 70 galaxies as “best” PRG candidates using data obtained from the Sloan Digital Sky Survey. Also, recent studies (Finkelman et al. 2011; Nishimura et al. 2022) have reported a few individual PRG detections. However, the number of PRGs listed as potential candidates based on photometry remains relatively small.

In this study we present the discovery of a ringed galaxy (DES J024008.08–551047.5, hereafter DJ0240) that exhibits a set of morphological and photometric features that qualify it as a possible PRG. Details regarding the object and data are presented in Sect. 2. Section 3 outlines the analysis conducted and presents the corresponding results. Finally, we discuss and summarise the results in Sect. 4.

2. Data inventory

We studied DJ0240, located at a photometric redshift of 0.12 ± 0.02, using the south field (brick 0399m552) observation of DECaLS data release 10 (DR10; Dey et al. 2019). DECaLS uses the Dark Energy Camera, which comprises 62 2k – 4k CCDs with a pixel scale of 0.262 arcsec/pixel and a 3.2 deg2 field of view and is located at the 4 m Blanco telescope of Cerro Tololo Inter American Observatory (Dey et al. 2019). The Legacy Surveys DR10 imaging data is processed using the NOIRLab Community Pipeline (Valdes et al. 2014) and the Legacypipe pipeline (Lang et al. 2016). The co-added g-, r-, and z-band images used in our analysis were calibrated in nanomaggies. The flux of one nanomaggie corresponds to an AB magnitude of 22.5 (Driver et al. 2016; Dey et al. 2019). The g, r, and z imaging data of DJ0240 were obtained from the DECaLS data archive. The colour composite of the galaxy DJ0240 is shown in Fig. 1, and its basic properties are listed in Table 1.

thumbnail Fig. 1.

Optical colour composite image of the galaxy DJ0240. The DECaLS g, r, and z images are colour-coded in blue, green, and red, respectively, with a field of view of 1.125′ × 1.125′.

Table 1.

Basic properties of the galaxy DJ0240.

An extinction correction was applied to all the magnitudes of DJ0240. For the DECaLS filters, extinction coefficients computed by Schlafly & Finkbeiner (2011) were utilised. To determine the extinction values for each filter, we multiplied the extinction coefficients by the E(B − V) values obtained from Schlegel et al. (1998) at the given coordinates (RA = 40.0337, Dec = –55.1799). We obtain an E(B − V) value of 0.029 at the coordinates and extinction values of 0.09, 0.06, 0.04, and 0.03 for the g, r, i, and z filters, respectively. A flat Universe cosmology is adopted throughout this paper, with H0 = 71 km s−1 Mpc−1 and Ω = 0.27 (Komatsu et al. 2011).

3. Analysis and results

3.1. One-dimensional surface photometry

The isophotal analysis is an effective technique for examining various aspects of galaxies at different levels of surface brightness. It provides valuable insights into their structure, morphology, and composition (Kormendy et al. 2009). In this study, the surface photometry for the r filter was performed using Python’s elliptical isophote analysis, as described by Jedrzejewski (1987). The fitting process allowed the isophotes’ centre, ellipticity, and position angle (measured anti-clockwise from the west) to vary freely. The fitted elliptical isophotes, shown in Fig. 2, exhibit significant variations in their position angle and ellipticity at a radius of 20 pixels (∼5″) and 30 pixels (∼8″). Then it remains constant until 60 pixels (∼15″). It is clear from the observations that the luminosity variations in the host galaxy and ring structure are responsible for these significant variations. We see a variation of ∼80° in the position angle between the centre of the galaxy and the ring component, leading us to characterise the galaxy as a potential PRG candidate. The ellipticity and position angle distribution are illustrated in the right panel of Fig. 2. We separated the ring component from the galaxy based on the observations shown in the left panel of Fig. 2. The surface brightness profile is also included in the bottom-right panel of Fig. 2; it reveals a brightness bump corresponding to the ring component after a radius of ∼8″ up to ∼15″.

thumbnail Fig. 2.

Left panel: separated ellipses for the host and ring components of a PRG overlaid on the r-band image. Right panel: corresponding ellipticity, position angle profiles, and surface brightness profiles of DJ0240. The solid red and dashed blue lines in both panels correspond to the extent of the host and ring components, respectively.

The radius of the ring component is three times greater than that of the host component of DJ0240. The host component exhibits a position angle of ∼10°, while the ring component displays a position angle of ∼80°. This significant difference in position angles suggests that the host and ring components are nearly orthogonal. The host galaxy and the ring component have a similar ellipticity value of ∼0.3. It is important to note that the results presented here are based on the surface photometry analysis, which does not incorporate factors such as galaxy inclination and viewing angle. We estimated the colours of these components separately. The g − r values for the host and ring components are 0.86 ± 0.02 and 0.59 ± 0.10 mag, respectively. The colour value of the ring component is similar to the average colour of spiral galaxies (Fukugita et al. 1995, 2007; Tojeiro et al. 2013). Also, the colour of the host galaxy suggests it is an early-type galaxy (Fukugita et al. 2007; Nair & Abraham 2010; Tojeiro et al. 2013). Table 2 contains specific details regarding the photometry values we obtained. Based on the colour difference between the host component and the ring component, it is evident that the host component is significantly redder than the ring component.

Table 2.

Properties of the galaxy DJ0240 obtained from this study. RE and PA correspond to the radial extent and position angle, respectively.

3.2. Two-dimensional surface photometry

We also performed parametric two-dimensional surface photometry fits with GALFIT (Peng et al. 2002, 2010). GALFIT provides the flexibility to simultaneously model multiple parametric functions (such as Sersic, Gaussian, etc.). These functions can be modelled as multiple subcomponents of a single object, multiple objects within a frame, or a combination of the two. We used the DECaLS r-band image to do the photometry. To ensure accurate modelling, we masked all stars, background objects, and foreground objects in the images. Nearby unsaturated stars were used to estimate the point spread function at the object positions. A two-component model consisting of a host galaxy and a ring was used to fit the galaxy. We used two Sersic functions to study the host galaxy and an inner truncated Sersic function for the ring component (Reshetnikov & Combes 2015). Both components were modelled with seven free parameters: object centre, total magnitude, effective radius, Sersic index, ellipticity, and position angle. Figure 3 displays the results obtained using GALFIT. The upper panel of the figure shows the input, model, and residual images from left to right. The bottom panel represents the total galaxy’s brightness profiles and subcomponents. The results obtained for DJ0240 using GALFIT are listed in Table 3. Here, we observe two distinct components within the host galaxy – a bulge and a disc. Typically, spiral and lenticular galaxies exhibit a combination of a bulge and a disc (Barway et al. 2009; Oohama et al. 2009). This indicates that the host galaxy of DJ0240 is either spiral or lenticular. As mentioned in Sect. 3.1, the colour values obtained for the host galaxy indicate it is an early-type galaxy. Therefore, it is reasonable to suggest that the host galaxy is lenticular. Moreover, we observe that the effective radius of the ring component is approximately three times larger than that of the host galaxy. Also, there is a 70° difference in the position angle between the host galaxy and the ring component. All these results indicate that DJ0240 is a promising PRG candidate.

thumbnail Fig. 3.

Top image, left panel: DECaLS r-band image of the DJ0240. Centre panel: subcomponents and the total model obtained from the modelling process. Right panel: residual image. Bottom image: surface brightness profile for the DECaLS r-band image. Various coloured lines are used to represent the subcomponents. Specifically, the dotted blue line corresponds to the truncated Sersic function, which represents the ring component.

Table 3.

Result parameters of the GALFIT analysis for the galaxy DJ0240.

3.3. Known versus unknown

The photometric evidence indicates that DJ0240 is a potential PRG candidate. However, the lack of a distinct edge-on view and viewing angle of the galaxy means we cannot rule out that it is a face-on ring galaxy, for example a Hoag-type galaxy (e.g. UGC 4599; Sil’chenko et al. 2023). Hoag-type galaxies are perfect ring galaxies whose central galaxy is surrounded by a ring with ongoing star formation (Hoag 1950; Brosch et al. 2013).

To better constrain the classification of DJ0240, we conducted a comparative study with a selected sample of PRGs and other ring-type galaxies (RTGs). We selected the 70 best candidates of PRGs from the catalogue provided by Moiseev et al. (2011). We specifically selected the Hoag and elliptical families of rings, a total of 206 galaxies, from the catalogue presented by Faundez-Abans & de Oliveira-Abans (1998). By utilising the g-, r-, and z-band data in DECaLS and based on the visibility, we narrowed our sample to 36 PRGs and 41 RTGs. We obtained the position angle and extent of the ring and host components for PRGs and RTGs from Smirnova & Moiseev (2013) and Faundez-Abans & de Oliveira-Abans (1998), respectively. We subsequently acquired the magnitudes for all these galaxies in the DECaLS optical filters g, r, and z1. We then plotted a colour-colour diagram of the host and ring components of the PRGs, RTGs, and DJ0240, as shown in Fig. 4. Our observations reveal a subtle but noticeable difference in the colour separation between the host and ring components of PRGs and RTGs. We estimate the difference in the g − r colour median value between RTGs’ host and ring components to be 0.13 ± 0.02, and 0.22 ± 0.04 for the PRGs. This suggests that PRGs tend to have a wider colour difference between their host and ring components, with a margin of 0.09 ± 0.04 compared to RTGs. A linear relationship in the g − r and r − z colour values is evident in both the host and ring components of PRGs and RTGs. However, there was a noticeable distinction in the slopes of the linear fits. In the case of PRGs, the linear relation exhibited a slope of 0.82  ±  0.02, whereas a slope of 0.61  ±  0.03 was identified for RTGs. Also, we observe that both the host and ring components of DJ0240 align more closely with those of the PRGs than those of the RTGs (as seen from Fig. 4), providing further evidence for the classification of DJ0240 as a potential PRG.

thumbnail Fig. 4.

g − r vs. r − z colour–colour diagram for the ring and host components of PRGs and RTGs, shown in the upper and lower panels, respectively. Blue contours denote the host components, and red contours represent the ring components of PRGs and RTGs. Additionally, the host component of DJ0240 is marked with a circle, and its ring component is indicated with a star symbol. The dashed green and solid black lines represent the best-fit line for PRGs and RTGs. The figure highlights a distinct difference in the slopes of the linear fits between PRGs and RTGs, and DJ0240 appears to align more closely with PRGs.

Although the host and ring components of DJ0240 exhibit a stronger alignment with PRGs than RTGs, the possibility of the object being a Hoag-type galaxy with an outer star-forming ring remains significant. Reshetnikov & Mosenkov (2019) and Mosenkov et al. (2022) note the low Sersic index values for the ring component (nring) of PRGs. Here, we aim to contrast the nring value of DJ0240 with those of both PRGs and Hoag-type galaxies. However, it is important to note that the comprehensive comparison of nring values between all PRGs and Hoag-type galaxies exceeds the scope of this study. So we selected the four Hoag-like galaxies from the RTG catalogue mentioned above. Also, we included two well-studied galaxies, Hoag’s object (Hoag 1950) and UGC4599 (Finkelman & Brosch 2011; Sil’chenko et al. 2023). In addition to this, we obtained the nring values of ten PRGs from Mosenkov et al. (2022). Hence, our sample includes ten PRGs, six Hoag types, and DJ0240. Since the Hoag-type galaxy nring values are not available in the literature, we modelled the ring component of these galaxies using an inner truncated Sersic function, as explained in Sect. 2. Figure 5 shows the nring values of the PRGs, Hoag-type galaxies, and DJ0240. We note that the ring component of Hoag-type galaxies has nring values greater than 1.6. Remarkably, our object, DJ0240, exhibited a very low Sersic index of nring = 0.13, further evidence that it has a polar ring structure.

thumbnail Fig. 5.

Sersic index values of the ring components for ten PRGs, six Hoag-type galaxies, and DJ0240. The vertical dashed lines at nring = 0.13, 2.3, and 4.5 correspond to DJ0240, Hoag’s object, and UGC 4599, respectively.

4. Discussion and summary

In the initial catalogue of PRGs, Whitmore et al. (1990) established four categories of PRGs: best candidates, good candidates, possible candidates, and systems that may be related to PRGs. The best candidates are those that have been confirmed kinematically as PRGs. Good candidates must adhere to specific criteria, such as having a nearly orthogonal projected major axis for both components, nearly aligned centres for both components, and a luminous and nearly planar ring component comparable in size to the inner component. These factors are evaluated and discussed in the studies of Smirnova & Moiseev (2013), Reshetnikov & Combes (2015), and Mosenkov et al. (2022), among others. In our study, we evaluated the structural components of DJ0240 to see whether it fits the good or best PRG candidate criteria of Whitmore et al. (1990).

Through one-dimensional isophotal analysis, we determined that the position angle of the ring component is ∼80° and the position angle of the host galaxy is ∼10°, which indicates that the ring component is nearly orthogonal to its host component. Additionally, by analysing the ellipticity and position angle profiles, we estimated the extent of both the host and ring components. Our analysis reveals that the ring component is three times more extended than the host galaxy. To further investigate the components of the galaxy, we conducted a two-dimensional GALFIT analysis. We were able to model the ring component of the galaxy using a truncated Sersic model. The GALFIT analysis also revealed that the ring component is nearly orthogonal to the host galaxy. We observed two distinct components within the host galaxy: a bulge and a disc. Also, we explored the Sersic indices and effective radius of each component, including the ring structure. The obtained results are comparable with those of other PRGs mentioned in the studies by Smirnova & Moiseev (2013), Reshetnikov & Combes (2015), and Mosenkov et al. (2022).

Through the comparison of g − r and r − z colour values between the host and ring components of PRGs and RTGs, we identified a significant difference regarding their distributions of colours. We observe a distinct (albeit small) deviation in the slope of the colour distribution, which is intriguing since both types of galaxies share a common morphology. Furthermore, this observation supports the widely accepted definition of PRGs, that the ring component is typically bluer than the host component (Reshetnikov & Combes 2015; Mosenkov et al. 2022). The presence of bluer ring components in PRGs indicates a higher level of ongoing star formation activity in these structures (Smirnova et al. 2017). Also, the PRGs are known to host early-type galaxies (Reshetnikov & Combes 2015). From a sample of 36 PRGs and 41 RTGs, we observe that the ring component of PRGs and RTGs appears bluer than its central part. However, the colour separation between the host and ring components of PRGs is 0.09 ± 0.04, wider when compared to RTGs (see Fig. 4). Further research and investigations may help confirm and expand upon these intriguing results. Despite this caveats, it is worth highlighting that our specific object, DJ0420, resembles PRGs more closely than RTGs. Also, the colour value of the ring structure exhibits a similarity to that of spiral galaxies (Fukugita et al. 2007). The colour value of the host galaxy and the presence of both bulge and disc components suggest that DJ0420 is a lenticular-type galaxy. Finally, Reshetnikov & Mosenkov (2019) note that the polar ring structure of PRGs can be modelled with a very low Sersic index (nring < 0.1). Mosenkov et al. (2022) discuss the presence of two groupings of polar structures: (i) true polar rings with nring values less than 0.7 and (ii) polar structures with nring > 1, which could possibly be polar discs. This study enabled us to accurately describe the ring of DJ0240 by utilising a Sersic function with an nring of 0.13, shedding light on the ring structure; for comparison, the ring component of Hoag-type galaxies has nring values greater than 1.6. The comparison with RTGs, including Hoag-type galaxies, reduces the possibility of DJ0240 belonging to a typical ring galaxy group and increases its likeliness of being a PRG.

In summary, this study presents the serendipitous discovery of a galaxy that exhibits a ring structure and has the potential to be classified as a PRG candidate. We utilised photometry on DECaLS optical images to explore the characteristics of the galaxy. The position angle and the colour distinction between the host and ring components are in line with the definition of PRGs. We have also discussed the possibility of the host galaxy being lenticular but suggest that the ringed galaxy DJ0240 is a highly promising candidate for inclusion in the PRG catalogue. However, further investigation is necessary to confirm this classification, particularly using spectroscopic observations to analyse the kinematic properties of both the host galaxy and the polar structure.


1

The photometric data for all galaxies are available at https://github.com/akr777/Table

Acknowledgments

We thank the anonymous referee for the valuable comments that improved the scientific content of the paper. K.R.A. and S.S.K. want to acknowledge the financial support from CHRIST (Deemed to be University, Bangalore) through the SEED money project (No: SMSS-2220, 12/2022). We thank our colleagues Ashish Devaraj, Arun Roy, and Sruthi K. for their valuable comments on the manuscript. We thank the Center for Research, CHRIST (Deemed to be University), for all their support during this work. K.R.A. expresses sincere gratitude to Chien Y. Peng for his invaluable help and support during the GALFIT analysis. S.S.K. and T.R. acknowledge the financial support from the Indian Space Research Organisation (ISRO) under the AstroSat archival data utilization program (No. DS-2B-13013(2)/6/2019). K.U. acknowledges the Department of Science and Technology (DST) for the INSPIRE FELLOWSHIP (IF180855). This publication uses the data from the DECaLs survey. We gratefully thank all the individuals involved in the various teams for supporting the project from the early stages of the design to launch and observations with it in orbit. The complete acknowledgments for DESI Legacy Imaging Surveys can be found at https://www.legacysurvey.org/acknowledgment/.

References

  1. Abbott, T. M. C., Adamów, M., Aguena, M., et al. 2021, ApJS, 255, 20 [NASA ADS] [CrossRef] [Google Scholar]
  2. Barway, S., Wadadekar, Y., Kembhavi, A. K., & Mayya, Y. D. 2009, MNRAS, 394, 1991 [NASA ADS] [CrossRef] [Google Scholar]
  3. Bekki, K. 1998, ApJ, 496, 713 [CrossRef] [Google Scholar]
  4. Bilicki, M., Jarrett, T. H., Peacock, J. A., Cluver, M. E., & Steward, L. 2014, ApJS, 210, 9 [Google Scholar]
  5. Bournaud, F., & Combes, F. 2003, A&A, 401, 817 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  6. Brook, C. B., Governato, F., Quinn, T., et al. 2008, ApJ, 689, 678 [NASA ADS] [CrossRef] [Google Scholar]
  7. Brosch, N., Finkelman, I., Oosterloo, T., Jozsa, G., & Moiseev, A. 2013, MNRAS, 435, 475 [NASA ADS] [CrossRef] [Google Scholar]
  8. Combes, F. 2004, in Penetrating Bars Through Masks of Cosmic Dust, eds. D. L. Block, I. Puerari, K. C. Freeman, R. Groess, & E. K. Block, Astrophys. Space Sci. Lib., 319, 57 [NASA ADS] [CrossRef] [Google Scholar]
  9. Dey, A., Schlegel, D. J., Lang, D., et al. 2019, AJ, 157, 168 [Google Scholar]
  10. Driver, S. P., Wright, A. H., Andrews, S. K., et al. 2016, MNRAS, 455, 3911 [NASA ADS] [CrossRef] [Google Scholar]
  11. Duncan, K. J. 2022, MNRAS, 512, 3662 [NASA ADS] [CrossRef] [Google Scholar]
  12. Faundez-Abans, M., & de Oliveira-Abans, M. 1998, A&AS, 129, 357 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  13. Finkelman, I., & Brosch, N. 2011, MNRAS, 413, 2621 [NASA ADS] [CrossRef] [Google Scholar]
  14. Finkelman, I., Graur, O., & Brosch, N. 2011, MNRAS, 412, 208 [NASA ADS] [CrossRef] [Google Scholar]
  15. Fukugita, M., Shimasaku, K., & Ichikawa, T. 1995, PASP, 107, 945 [Google Scholar]
  16. Fukugita, M., Nakamura, O., Okamura, S., et al. 2007, AJ, 134, 579 [NASA ADS] [CrossRef] [Google Scholar]
  17. Hoag, A. A. 1950, AJ, 55, 170 [NASA ADS] [CrossRef] [Google Scholar]
  18. Iodice, E. 2014, in Multi-Spin Galaxies, eds. E. Iodice, & E. M. Corsini, ASP Conf. Ser., 486, 39 [NASA ADS] [Google Scholar]
  19. Iodice, E., Arnaboldi, M., Sparke, L. S., & Freeman, K. C. 2002, A&A, 391, 117 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  20. Jedrzejewski, R. I. 1987, MNRAS, 226, 747 [Google Scholar]
  21. Khoperskov, S. A., Moiseev, A. V., Khoperskov, A. V., & Saburova, A. S. 2014, MNRAS, 441, 2650 [Google Scholar]
  22. Komatsu, E., Smith, K. M., Dunkley, J., et al. 2011, ApJS, 192, 18 [Google Scholar]
  23. Kormendy, J., Fisher, D. B., Cornell, M. E., & Bender, R. 2009, ApJS, 182, 216 [Google Scholar]
  24. Lang, D., Hogg, D. W., & Mykytyn, D. 2016, Astrophysics Source Code Library [record ascl:1604.008] [Google Scholar]
  25. Lüghausen, F., Famaey, B., Kroupa, P., et al. 2013, MNRAS, 432, 2846 [CrossRef] [Google Scholar]
  26. Macciò, A. V., Moore, B., & Stadel, J. 2006, ApJ, 636, L25 [CrossRef] [Google Scholar]
  27. Moiseev, A. V., Smirnova, K. I., Smirnova, A. A., & Reshetnikov, V. P. 2011, MNRAS, 418, 244 [CrossRef] [Google Scholar]
  28. Mosenkov, A. V., Reshetnikov, V. P., Skryabina, M. N., & Shakespear, Z. 2022, Res. Astron. Astrophys., 22, 115003 [CrossRef] [Google Scholar]
  29. Nair, P. B., & Abraham, R. G. 2010, ApJS, 186, 427 [Google Scholar]
  30. Nishimura, M., Matsubayashi, K., Murayama, T., & Taniguchi, Y. 2022, PASP, 134, 094105 [NASA ADS] [CrossRef] [Google Scholar]
  31. Oohama, N., Okamura, S., Fukugita, M., Yasuda, N., & Nakamura, O. 2009, ApJ, 705, 245 [NASA ADS] [CrossRef] [Google Scholar]
  32. Ordenes-Briceño, Y., Georgiev, I. Y., Puzia, T. H., Goudfrooij, P., & Arnaboldi, M. 2016, A&A, 585, A156 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  33. Peng, C. Y., Ho, L. C., Impey, C. D., & Rix, H.-W. 2002, AJ, 124, 266 [Google Scholar]
  34. Peng, C. Y., Ho, L. C., Impey, C. D., & Rix, H.-W. 2010, AJ, 139, 2097 [Google Scholar]
  35. Reshetnikov, V., & Combes, F. 2015, MNRAS, 447, 2287 [NASA ADS] [CrossRef] [Google Scholar]
  36. Reshetnikov, V. P., & Mosenkov, A. V. 2019, MNRAS, 483, 1470 [NASA ADS] [CrossRef] [Google Scholar]
  37. Reshetnikov, V., & Sotnikova, N. 1997, A&A, 325, 933 [NASA ADS] [Google Scholar]
  38. Reshetnikov, V. P., Faúndez-Abans, M., & de Oliveira-Abans, M. 2011, Astron. Lett., 37, 171 [NASA ADS] [CrossRef] [Google Scholar]
  39. Schlafly, E. F., & Finkbeiner, D. P. 2011, ApJ, 737, 103 [Google Scholar]
  40. Schlegel, D. J., Finkbeiner, D. P., & Davis, M. 1998, ApJ, 500, 525 [Google Scholar]
  41. Sil’chenko, O., Moiseev, A., Oparin, D., Beckman, J. E., & Font, J. 2023, A&A, 669, L10 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  42. Skrutskie, M. F., Cutri, R. M., Stiening, R., et al. 2006, AJ, 131, 1163 [NASA ADS] [CrossRef] [Google Scholar]
  43. Smirnova, K. I., & Moiseev, A. V. 2013, Astrophys. Bull., 68, 371 [NASA ADS] [CrossRef] [Google Scholar]
  44. Smirnova, K. I., Wiebe, D. S., & Moiseev, A. V. 2017, Open Astron., 26, 88 [CrossRef] [Google Scholar]
  45. Tojeiro, R., Masters, K. L., Richards, J., et al. 2013, MNRAS, 432, 359 [Google Scholar]
  46. Valdes, F., Gruendl, R., & DES Project 2014, in Astronomical Data Analysis Software and Systems XXIII, eds. N. Manset, & P. Forshay, ASP Conf. Ser., 485, 379 [NASA ADS] [Google Scholar]
  47. Whitmore, B. C., Lucas, R. A., McElroy, D. B., et al. 1990, AJ, 100, 1489 [NASA ADS] [CrossRef] [Google Scholar]

All Tables

Table 1.

Basic properties of the galaxy DJ0240.

Table 2.

Properties of the galaxy DJ0240 obtained from this study. RE and PA correspond to the radial extent and position angle, respectively.

Table 3.

Result parameters of the GALFIT analysis for the galaxy DJ0240.

All Figures

thumbnail Fig. 1.

Optical colour composite image of the galaxy DJ0240. The DECaLS g, r, and z images are colour-coded in blue, green, and red, respectively, with a field of view of 1.125′ × 1.125′.

In the text
thumbnail Fig. 2.

Left panel: separated ellipses for the host and ring components of a PRG overlaid on the r-band image. Right panel: corresponding ellipticity, position angle profiles, and surface brightness profiles of DJ0240. The solid red and dashed blue lines in both panels correspond to the extent of the host and ring components, respectively.

In the text
thumbnail Fig. 3.

Top image, left panel: DECaLS r-band image of the DJ0240. Centre panel: subcomponents and the total model obtained from the modelling process. Right panel: residual image. Bottom image: surface brightness profile for the DECaLS r-band image. Various coloured lines are used to represent the subcomponents. Specifically, the dotted blue line corresponds to the truncated Sersic function, which represents the ring component.

In the text
thumbnail Fig. 4.

g − r vs. r − z colour–colour diagram for the ring and host components of PRGs and RTGs, shown in the upper and lower panels, respectively. Blue contours denote the host components, and red contours represent the ring components of PRGs and RTGs. Additionally, the host component of DJ0240 is marked with a circle, and its ring component is indicated with a star symbol. The dashed green and solid black lines represent the best-fit line for PRGs and RTGs. The figure highlights a distinct difference in the slopes of the linear fits between PRGs and RTGs, and DJ0240 appears to align more closely with PRGs.

In the text
thumbnail Fig. 5.

Sersic index values of the ring components for ten PRGs, six Hoag-type galaxies, and DJ0240. The vertical dashed lines at nring = 0.13, 2.3, and 4.5 correspond to DJ0240, Hoag’s object, and UGC 4599, respectively.

In the text

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.