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Record W4321501642 · doi:10.5194/egusphere-egu23-3685

Two-Channel, Fast Time-Response CAPS-Based NOx Monitor

2023· preprint· en· W4321501642 on OpenAlexaboutno aff
Andrew Freedman, Joseph Roscioli, Benjamin Moul, T. B. Onasch

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric chemistry and aerosols
Canadian institutionsnot available
Fundersnot available
KeywordsNOxChemistryOpticsPhase (matter)Analytical Chemistry (journal)Materials scienceOptoelectronicsPhysics

Abstract

fetched live from OpenAlex

We have developed a turnkey, fast response two-channel NOx monitor (NOx =NO + NO2) which provides simultaneous measurements of both NOx and NO2 and thus NO by subtraction. The NOx channel employs a carefully controlled concentration of photolytically-produced ozone (O3) to convert NO into NO2. The monitor can measure NO2 and NOx with an accuracy of better than 5% and precision of < 0.2 ppb (1s, 1s) with <1 second physical time constant in each measurement channel. The monitor is based on Aerodyne Research’s patented CAPS (Cavity Attenuated Phase Shift) technology previously employed to measure NO2concentrations, aerosol optical extinction and aerosol single scattering albedo. A CAPS-based NO2 monitor utilizes a light-emitting diode (LED) as a light source (450 nm for the NO2 channel and 405 nm for the total NOx channel) and a sample cell incorporating two high reflectivity mirrors; a vacuum photodiode is used to detect the light emitted from the cell. The square wave modulated light from the LED passes through the absorption cell and is detected as a distorted waveform which is characterized by a phase shift with respect to the initial modulation. The amount of that phase shift is a function of fixed instrument properties - cell length, mirror reflectivity, and modulation frequency– and of the presence of variable concentrations of nitrogen dioxide. The mixing ratio is calculated from the value of the cotangent of the phase shift, the speed of light, LED modulation frequency and the absorption coefficient of NO2. The use of 405 nm detection in the total NOx channel greatly reduces the possible interference caused by the presence of several ppm of O3 in the sample flow.We present data from an intercomparison of the NOx monitor with Aerodyne TILDAS monitors measuring both NO and NO2. The TILDAS monitors utilize infrared diode lasers to probe individual ro-vibrational absorption lines and are considered the “gold standard” for measuring concentrations of small molecules. The monitors were deployed on the Aerodyne Mobile Laboratory during the MOOSE (Michigan Ontario Ozone Source Experiment) campaign in late 2021. The figure presented below compares the measurement of both NO2 and the sum of NO+NO2 measured by the TILDAS monitors compared with that obtained by the CAPS NO monitor at 1 second resolution. Note the excellent agreement with respect to both magnitude and time resolution. Long term comparisons indicate that correlation coefficients at 1 second resolution approach 1.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.241
Teacher spread0.220 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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