Abstract
The photometric accuracy in the near-infrared (NIR) wavelength range (0.9–2.6 \(\mu\)m) is strongly affected by the variability of atmospheric transmission. The Infrared Working Group (IRWG) has recommended filters that help alleviate this issue and provide a common standard of NIR filtersets across different observatories. However, accurate implementation of these filters are yet to be available to astronomers. In the meantime, InGaAs based detectors have emerged as a viable option for small and medium telescopes. The present work explores the combination of IRWG filtersets with InGaAs detectors. A few commercially available filtersets that approximate the IRWG profile are compared. Design of more accurate IRWG filtersets suitable for the InGaAs sensitivity range is undertaken using an open-source filter design software – OpenFilters. Along with the photometric filters iZ, iJ and iH, design of a few useful narrow band filters is also presented. These filters present opportunities for small and medium telescopes for dedicated long-term observation of interesting infrared sources.
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Acknowledgments
The authors have made use of the WebPlotDigitizer tools to digitize data (https://automeris.io/WebPlotDigitizer). This research has made use of the SVO Filter Profile Service (http://svo2.cab.inta-csic.es/theory/fps/) supported from the Spanish MINECO through grant AYA2017-84089 (Rodrigo et al. 2012; Rodrigo & Solano 2020).
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Appendices
Appendix A. Methods for SNR calculation
Collected flux in Watts from a star is specified as:
where \(A_{\mathrm{eff}}\) is the effective collecting area of the telescope, \(F_{\mathrm{BW}}\) is the filter bandwidth in nm, \(\Phi _\mathrm{zero}\) is the flux from a zeroth magnitude star in W/\(\hbox {m}^2\)/nm and \(m_{*}\) is the magnitude of the star.
\(F_{\mathrm{BW}}\) and \(m_{*}\) are known parameters and \(\Phi _{\mathrm{zero}}\) is collected from Zombeck (2006). The effective collecting area, \(A_{\mathrm{eff}}\) for a telescope is:
where D is the telescope diameter, a is a factor corresponding to secondary obstruction; nominally 0.85 and b is the throughput; nominally 0.2.
Using these parameters, the SNR for single pixel detectors can be calculated as:
where \(P_c\) is incident energy in Watts, NEP is noise equivalent power of the detector in Watts/\(\sqrt{\mathrm{Hz}}\) and \(T_{i}\) is the on-source integration time.
SNR for array based detectors:
where \(N_{\mathrm{dark}}\) is the dark current of the detector given in \(\hbox {e}^-\)/pixel/S, \(N_{\mathrm{read}}\) is the read noise of the detector given in \(\hbox {e}^-\)/pixel, \(p_n\) is the number of pixels used to sample the stellar disk; nominally 16 and \(T_{i}\) is the on-source integration time.
Using these relations between the desired SNR and time of integration, minimum integration time for \({\mathrm{SNR}} = 100\) for various filter and detector combinations are given in Table 2.
Appendix B. Filter transform between IRWG and Johnson filters
For the present typical achievable photometric accuracies in NIR (Milone & Young 2007; Wing et al. 2011), i.e., 3–5%, filter transforms between different implementations of the IRWG filterset may not be required. For more accurate photometry, i.e., 1% or lower, just 57 bright standards may not be sufficient for an exact transformation. We have included the synthetic photometric data of all 57 MaunaKea primary stars in various filtersets considered, should there be interest for such transforms. The data are included in Table 5 as a list of magnitudes. A rudimentary transform fit between IRWG and the Johnson filterset derived from the 57 MaunaKea standards is also included in Figure 9. For various aspects of filter transforms of IRWG filtersets, the work done by Milone & Young (2005) is to be referred
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Mishra, A.K., Kamath, U.S. Filters for NIR astronomical photometry: comparison of commercial IRWG filters and designs using OpenFilters. J Astrophys Astron 43, 13 (2022). https://doi.org/10.1007/s12036-021-09788-2
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DOI: https://doi.org/10.1007/s12036-021-09788-2