Evidence map›Paper›PMID 34451029›Full record

ArticleSensors (Basel, Switzerland)2021

SG-WAS: A New Wireless Autonomous Night Sky Brightness Sensor.

Miguel R Alarcon, Marta Puig-Subirà, Miquel Serra-Ricart, Samuel Lemes-Perera, Manuel Mallorquín, César López

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Miguel R AlarconInstituto de Astrofísica de Canarias, C/Vía Láctea s/n, E-38205 La Laguna, Canarias, Spain.ORCID 0000-0002-8134-2592
Marta Puig-SubiràInstituto de Astrofísica de Canarias, C/Vía Láctea s/n, E-38205 La Laguna, Canarias, Spain.ORCID 0000-0001-8955-7574
Miquel Serra-RicartInstituto de Astrofísica de Canarias, C/Vía Láctea s/n, E-38205 La Laguna, Canarias, Spain.ORCID 0000-0002-2394-0711
Samuel Lemes-PereraInstituto de Astrofísica de Canarias, C/Vía Láctea s/n, E-38205 La Laguna, Canarias, Spain.ORCID 0000-0003-1044-154X
Manuel MallorquínInstituto de Astrofísica de Canarias, C/Vía Láctea s/n, E-38205 La Laguna, Canarias, Spain.ORCID 0000-0001-6394-3821
César LópezSieltec Canarias S.L., C/Hábitat No. 2, Portal D, Of. 3, E-38204 La Laguna, Canarias, Spain.

Funding

INTERREG V-A MAC 2014-2020 MAC2/4.6d/238
6 · The paper itself

Abstract

The main features of SG-WAS (SkyGlow Wireless Autonomous Sensor), a low-cost device for measuring Night Sky Brightness (NSB), are presented. SG-WAS is based on the TSL237 sensor -like the Unihedron Sky Quality Meter (SQM) or the STARS4ALL Telescope Encoder and Sky Sensor (TESS)-, with wireless communication (LoRa, WiFi, or LTE-M) and solar-powered rechargeable batteries. Field tests have been performed on its autonomy, proving that it can go up to 20 days without direct solar irradiance and remain hibernating after that for at least 4 months, returning to operation once re-illuminated. A new approach to the acquisition of average NSB measurements and their instrumental uncertainty (of the order of thousandths of a magnitude) is presented. In addition, the results of a new Sky Integrating Sphere (SIS) method have shown the possibility of performing mass device calibration with uncertainties below 0.02 mag/arcsec2. SG-WAS is the first fully autonomous and wireless low-cost NSB sensor to be used as an independent or networked device in remote locations without any additional infrastructure.

Indexed as

artificial lightingdetection networkslight pollutionnight sky brightnessphotometerskyglow

Identifiers

PMID34451029
PMCPMC8402260

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.