Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Assessing the Value of Complex Refractive Index and Particle Density for
  Calibration of Low-Cost Particle Matter Sensor for Size-Resolved Particle
  Count and PM2.5 Measurements   Commercially available low-cost particulate matter (PM) sensors provide
output as total or size-specific particle counts and mass concentrations. These
quantities are not measured directly but are estimated by the original
equipment manufacturers' (OEM) proprietary algorithms and have inherent
limitations since particle scattering depends on their composition, size,
shape, and complex index of refraction (CRI). Hence, there is a need to
characterize and calibrate their performance under a controlled environment. We
present calibration algorithms for Plantower PMS A003 sensor as a function of
particle size and concentration. A standardized experimental protocol was used
to control the PM level, environmental conditions and to evaluate
sensor-to-sensor reproducibility. The calibration was based on tests when PMS
A003 were exposed to different polydisperse standardized testing aerosols. The
results suggested particle size distribution from PMS A003 was shifted compared
to reference instrument measures. For calibration of number concentration,
linear model without adjusting aerosol properties corrects the raw PMS A003
measurement for specific size bins with normalized mean absolute error within
4.0% of the reference instrument. Although the Bayesian Information Criterion
suggests that models adjusting for particle optical properties and relative
humidity are technically superior, they should be used with caution as the
particle properties used in fitting were within a narrow range for challenge
aerosols. The calibration models adjusted for particle CRI and density account
for non-linearity in the OEM's mass concentrations estimates and demonstrated
lower error. These results have significant implications for using PMS A003 in
high concentration environments, including indoor air quality and
occupational/industrial exposure assessments, wildfire smoke, or near-source
monitoring scenarios.

6
The categories of this paper are: astro-ph
18
The categories of this paper are: econ
17
The categories of this paper are: q-fin
36
The categories of this paper are: cmp-lg
9
The categories of this paper are: nlin
13
The categories of this paper are: quant-ph
25
The categories of this paper are: patt-sol
35
The categories of this paper are: mtrl-th
15
The categories of this paper are: nucl-ex
5
The categories of this paper are: gr-qc
32
The categories of this paper are: atom-ph
37
The categories of this paper are: supr-con
19
The categories of this paper are: eess
16
The categories of this paper are: stat
28
The categories of this paper are: alg-geom
10
The categories of this paper are: q-bio