Abstract:To determine the level of light pollution due to human activities, we performed sky-brightness measurements at Bosscha Observatory, Indonesia (107°36′E; 6°49′S, 1300 m above sea level) for seven years from 2011 to 2018, using a portable photometer pointed at the zenith. From 1692 nightly records, we found that the average brightness on moonless nights reached the 19.70 ± 0.84 and 19.01 ± 0.88 astronomical magnitudes per square arcsecond (mpass), with median values of 19.73 mpass and 19.03 mpass for the AM and … Show more
“…This is reasonable since systematic darkening rarely occurs in rural areas, while in urban areas, the darkening can be 0.14 mpsas/hour (Posch et al 2018). In line with that, Herdiwijaya et al (2020) found a ∼0.7 mpsas deviation between pre-and post-midnight sky brightness over Bosscha Observatory, where light pollution from surrounding urban areas is inevitable.…”
A new astronomical observatory in southeastern Indonesia is currently under construction. This Timau National Observatory will host a 3.8-metre telescope for optical and near-infrared observations. To support the operation and planning, the characterisation of the site needs to be appropriately performed. However, limited resources and access to the site hindered the deployment of instruments for comprehensive site testing. Fortunately, in-situ sky brightness data from the Sky Quality Meter (SQM) have been available for almost two years. Based on the data acquired in 470 nights, we obtain a background sky brightness of 𝜇 0 = 21.86 ± 0.38 magnitude/arcsec 2 . Additionally, we evaluate the moonlit sky brightness to estimate the atmospheric extinction coefficient (𝑘) and level of scattering on site. We find an alleviated value of 𝑘 = 0.48 ± 0.04, associated with a high atmospheric aerosol content. It is considered regular for an equatorial area situated at a low altitude (∼1300 masl). By analysing the fluctuation of the sky brightness and infrared images from Himawari-8 satellite, we estimate the available observing time (AOT) of at least 5.3 hours/night and the yearly average percentage of usable nights of 66%. The monthly average AOT from SQM and satellite data analysis correlate with 𝑅 = 0.82. In terms of the monthly percentage of usable nights, the correlation coefficient is 𝑅 = 0.78. During the wet season (November-April), the results from SQM and satellite data analysis deviate more significantly, mainly due to the limited capability of Himawari-8 in detecting fragmented low-altitude clouds. According to these results, we expect Timau to complement other observatories greatly.
“…This is reasonable since systematic darkening rarely occurs in rural areas, while in urban areas, the darkening can be 0.14 mpsas/hour (Posch et al 2018). In line with that, Herdiwijaya et al (2020) found a ∼0.7 mpsas deviation between pre-and post-midnight sky brightness over Bosscha Observatory, where light pollution from surrounding urban areas is inevitable.…”
A new astronomical observatory in southeastern Indonesia is currently under construction. This Timau National Observatory will host a 3.8-metre telescope for optical and near-infrared observations. To support the operation and planning, the characterisation of the site needs to be appropriately performed. However, limited resources and access to the site hindered the deployment of instruments for comprehensive site testing. Fortunately, in-situ sky brightness data from the Sky Quality Meter (SQM) have been available for almost two years. Based on the data acquired in 470 nights, we obtain a background sky brightness of 𝜇 0 = 21.86 ± 0.38 magnitude/arcsec 2 . Additionally, we evaluate the moonlit sky brightness to estimate the atmospheric extinction coefficient (𝑘) and level of scattering on site. We find an alleviated value of 𝑘 = 0.48 ± 0.04, associated with a high atmospheric aerosol content. It is considered regular for an equatorial area situated at a low altitude (∼1300 masl). By analysing the fluctuation of the sky brightness and infrared images from Himawari-8 satellite, we estimate the available observing time (AOT) of at least 5.3 hours/night and the yearly average percentage of usable nights of 66%. The monthly average AOT from SQM and satellite data analysis correlate with 𝑅 = 0.82. In terms of the monthly percentage of usable nights, the correlation coefficient is 𝑅 = 0.78. During the wet season (November-April), the results from SQM and satellite data analysis deviate more significantly, mainly due to the limited capability of Himawari-8 in detecting fragmented low-altitude clouds. According to these results, we expect Timau to complement other observatories greatly.
“…Light pollution in the vicinity of the Bosscha Observatory could account for this pattern. [12], which are 19.70 ± 0.84 and 19.01 ± 0.88 mpass. The relation between sky brightness and the month of observation also investigated by [12].…”
We conducted a continuous sky brightness monitoring project in 2023 using the 14-inch (f/7.2) Bosscha Robotic Telescope (BRT) with Bessel filters at Bosscha Observatory. We present the initial measurement result of the extinction coefficient and sky brightness of three photometric nights from July to September 2023 using absolute photometry methods on photometric standard stars. The measurement results indicate the values of the first-order extinction coefficients span from
k
b
′
= 0.1344 to 0.1596,
k
v
′
= 0.0931 to 0.1901,
k
r
′
= 0.1208 to 0.1592, and
k
i
′
= 0.0836 to 0.0967 with a typical error of 0.001 for two similar night. On September 12, our measurement results were
k
b
′
= 0.6186 ± 0.0081,
k
v
′
= 0.5404 ± 0.0104,
k
r
′
= 0.3684 ± 0.0122,
k
i
′
= 0.2483 ± 0.0191. Applying these values to the sky field reveals the average brightness in the V-band-pass, respectively 18.807 ± 0.061, 18.999 ± 0.052, and 18.867 ± 0.039, with a color index B − V of 0.421 ± 0.111, 0.236 ± 0.094 and 0.426 ± 0.064. The results are consistent with measurements from the transformed Sky Quality Meter (SQM) corresponding to the suitable filters.
“…It can be seen that fluctuations begin to occur at 8 a.m. coinciding with the shadow length of the object being 1.3 meters. In the afternoon curve, the start of fluctuations is difficult to detect due to the clouds that always appear after noon for semidiurnal pattern, as seen in Figure 2 [9]. When the shadow length is 1, both sky brightness values are the same.…”
Section: Figure 2 Sky Brightness Difference Curve In the Morning And ...mentioning
The night sky brightness has an ecological impact, especially for nocturnal animals. Likewise, the shift from transition night to day and vice versa known as the fajr/dawn phase, has on impact on crepuscular animals. Continuous measurement are important in astronomy due to the impact of sky brightness. The sky brightness is slower to lighten at dawn and slower to darken at dusk which can be affected by light pollution sourced from human activities, meteorological, and natural factors (Moon phase and zodiacal light). Quantization of the sky brightness continuously in full days based on the function of light pollution, Sun position, and shadow length in the daytime are important to do. Analysis of the sky brightness at the limits of the beginning of dawn, the end of dusk, the sunrise/sunset, during mid-morning/evening, and the time of culmination are useful for testing the Islamic prayers time. Measurement of sky brightness in full days has been done using Sky Quality Meter photometer at coordinates 6˚50’42” southern latitude and 109˚37’55” eastern longitude for 25 days with 3 seconds retrieval resolution that installed neutral density variable and battery. Analysis of sky brightness data was carried out using Difference, Moving average, and Polynomial methods. This research concludes that the sky brightness during twilight shows relatively small variation, with the beginning of dawn identified at -15.301˚ of Sun elevation and the end of dusk at -18.853˚ of Sun elevation. The sky brightness profiles before and after 12 noon are asymmetrical. In the evening, the average difference in sky brightness at shadow lengths of 1 to 2 is 0.9 MPSAS with 0.39 standard deviation and the average shadow length of object during fluctuations is 1.36. The average difference in sky brightness at noon compared to midnight is 9.02 MPSAS.
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