---
instrument_id: '413'
data_file_original_name: '140819_dma_total.csv'
skip_headers: '1'
charts: ''
headers:
    - 'exp_time(min)'
    - 'total_N(#/cm3)'
    - 'total_N_WLcorr(#/cm3)'
    - 'total_A(um2/m3)'
    - 'total_A_WLcorr(um2/m3'
    - 'total_V(um3/m3)'
    - 'total_V_WLcorr(um3/m3)'
    - 'SOA_mass(ug/m3)'
dataset_id: '3495'
experiment_link: 'https://icarus.ucdavis.edu/chambers/553/experiments/620'
experiment_set_link: 'https://icarus.ucdavis.edu/chambers/553/experimentSets/216'
chamber_link: 'https://icarus.ucdavis.edu/chambers/553'
dataset_created_at: '2021-09-01 12:49:14'
dataset_updated_at: '2021-09-01 12:49:14'
instrument_link: 'https://icarus.ucdavis.edu/chambers/553/instruments/413'
instrument:
    id: '413'
    short_name: 'CARMA SMPS'
    full_name: 'Soft X-ray Differential Mobility Analyzer in Negative Mode'
    manufacturer: 'Custom'
    model: 'Custom'
    year: 'Until Spring of 2019'
    data_recording_software: 'NI DAQ with Labview'
    data_analysis_software: 'Inversion in Matlab'
    raw_data_time_resolution: '0.5 Seconds'
    analysis_data_averaging: '330 Seconds'
    detection_limit: '10nm-1um'
    quantification_limit: ''
    sensitivity_to_temperature: 'Low'
    sensitivity_to_relative_humidity: 'Low up to 40%, if humidity is too high, connect a dryer tube before the inlet, and correct the size based on reduced humidity'
    sampling_method: 'Direct Sampling'
    sample_preparation_method: ''
    sample_residence_time_in_seconds: '13'
    length_of_tubing_in_cm: '80'
    flow_rate: '0.5 lpm'
    tubing_material: 'Stainless Steel'
    chemical_identification_method: ''
    data_analysis_method: 'Data analysis is carried through data inversion based on finite element analysis of particle trajectories along the DMA column, Monte Carlo simulation of particle Brownian motion, and CPC RTD modeling described in Mai et al (I & II, 2018). The custom build Matlab software takes in the raw output from the instrument, and inverts it to particle size distribution.'
    quantification_method: ''
    calibration_method: 'Flow calibration is performed by fitting pressure transducer response current and flow measure from Gilibrator directly. Voltage calibration is performed by fitting HV source loop feedback current and multimeter measurement. Peaks are adjusted by sampling PSL (50nm, 150nm, 300nm, 500nm) directly into the instrument.'
    calibration_drift_estimate: 'Low (on the order of weeks)'
    calibration_schedule: 'As Needed'
    uncertainty_estimation_method: 'The uncertainty of data acquisition is low, and the uncertainty of data analysis mainly lies to the larger end of a size distribution. The uncertainty is estimated by comparing the original tail and adjusted tail (fitting normal distribution)'
    known_interferences: ''
    link_to_supplemental_information: "https://www.tandfonline.com/doi/abs/10.1080/02786826.2018.1528005\r\n\r\nhttps://www.tandfonline.com/doi/abs/10.1080/02786826.2018.1528006"
    additional_notes: ''
    organization_id: '540'
    created_at: '2020-03-12T20:45:07.000000Z'
    updated_at: '2021-08-14T06:55:12.000000Z'
    column_descriptors: "total number concentration(#/cm3), total number conc after wall loss correcion(#/cm3), total particle area (um2/m3)\ttotal particle area after wall loss correction (um2/m3), total particle volume (um3/m3), total particle volume after wall loss correction (um3/m3), secondary organic aerosol mass after assuming 1.2 g/cc density (ug/m3)"
    sampling_protocol: 'Online'
    skip_headers: '1'
    tubing_inner_diameter: '1/4 inch'
    what_is_measured: 'particle number, area, volume, mass concentration'
    measurement_uncertainty: '10%'
    measurement_units: 'particle number (#/cm3), particle area (um2/m3), particle volume (um3/m3), SOA mass (ug/m3)'

---
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