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TITAN SN~Ia DR1 Dataset

Updated 30 December 2025
  • The TITAN SN~Ia dataset is a systematically calibrated collection of over 10,000 confirmed Type Ia supernovae, including about 3,000 cosmology-grade light curves targeting low-redshift analysis.
  • It employs advanced intra-chip and inter-chip calibration techniques that reduce RMS uncertainties to 3–5 mmag, ensuring robust and precise photometric measurements.
  • Accessible via the ATLAST package, the dataset underpins cross-survey validation and serves as a foundational low-z anchor for future dark energy and Hubble constant investigations.

The TITAN SN~Ia dataset, formally the "Type Ia supernova Trove from ATLAS in the Nearby universe" (TITAN), represents the first public release (DR1) of a uniquely large, systematically calibrated collection of low-redshift Type Ia supernova (SN Ia) light curves from the ATLAS (Asteroid Terrestrial Last Alert System) time-domain sky survey. With over 10,000 spectroscopically confirmed SNe Ia and approximately 3,000 cosmology-grade light curves prepared for precise cosmological analyses, TITAN DR1 aims to provide a reference dataset for low-zz SN cosmology featuring robust calibration, extensive validation, and thorough propagation of all relevant systematic uncertainties (Marlin et al., 26 Dec 2025).

1. Data Set Scope, Instrumentation, and Coverage

TITAN DR1 comprises:

  • More than 10,000 spectroscopically confirmed SNe~Ia identified by ATLAS.
  • "Cosmology-grade" light curves (well-sampled, host-galaxy redshifts measured) totaling approximately 3,000 SNe~Ia.

The dataset is volume-limited to z0.1z\lesssim 0.1, set by the ATLAS photometric detection threshold (m20m\approx 20), with near-all-sky coverage:

  • Northern telescopes (Haleakala, Mauna Loa): Dec50\textrm{Dec} \geq -50^\circ
  • Southern telescopes (South Africa, Chile): Dec+40\textrm{Dec} \lesssim +40^\circ
  • Nightly full-sky monitoring cadence

ATLAS utilizes four 0.5-m f/2 Wright–Geminian telescopes, each equipped with a 10, ⁣560×10, ⁣56010,\!560\times10,\!560 px STA-1600 CCD, read out at 1×11\times1 binning. The typical point spread function has FWHM $3.7''$–$5.6''$. Photometric observations are performed in two broad bands:

  • ATLAS-cyan (cc): 4200 A˚λ6500 A˚4200\ \text{Å} \lesssim \lambda \lesssim 6500\ \text{Å}
  • ATLAS-orange (oo): 5600 A˚λ8200 A˚5600\ \text{Å} \lesssim \lambda \lesssim 8200\ \text{Å}

2. Photometric Calibration and Cross-Calibration Workflow

The central calibration objective is to place ATLAS forced photometry on an absolute AB system with mmag-level systematic control. The workflow, designed to ensure transferability and uniformity, involves:

2.1 Reference Catalogs and Stellar Samples

  • The DES Y6 tertiary star catalog (17 million stars over 5,000 deg2^2, 1.8 mmag spatial uniformity, anchored to CALSPEC C26202 at 1% absolute flux) serves as the prime calibration reference.
  • Baseline ATLAS calibration uses Refcat2 (incorporating PS1/Gaia/APASS/Skymapper).
  • Within the DES footprint, three stellar samples are constructed:

    1. "Color-blind" (uniform in DES gig-i color, matched to Refcat2)
    2. "Blue" (DES gi0.2g-i \leq 0.2)
    3. "Non-Refcat2" (stars in DES Y6 absent in Refcat2; selected to mimic SN~Ia host galaxies)
  • Stars only observed in Gaia within Refcat2 are excluded to remove Gaia-only zeropoint biases.

2.2 Intra-Chip Zeropoint Offsets (ΔZPpixel\Delta ZP_\mathrm{pixel})

For each chip, the pixel-level residual is evaluated as:

ΔZPpixel(x,y)=mobs(x,y)Med[mobs(x,y)],\Delta ZP_\mathrm{pixel}(x, y) = m_\mathrm{obs}(x, y) - \mathrm{Med}\left[ m_\mathrm{obs}(x, y') \right]\,,

where mobs(x,ym_\mathrm{obs}(x, y) is the observed magnitude, and the median is computed over many dithered observations.

  • The 10560×\times10560-px focal plane is binned into 50×5050\times50 pixel cells, convolved with a Gaussian kernel of σ540\sigma\approx540 px to produce per chip-filter correction maps.
  • RMS across 10-pixel bins is reduced from 8\sim8 mmag (pre-correction) to 4\sim4 mmag (post-correction).

2.3 Inter-Chip Zeropoint Offsets (ΔZPchip\Delta ZP_\mathrm{chip})

For each chip and filter ff, the color-transformed residual:

Δi(f;x,y)=(mf,iATLASmy2,iDES)ffy2synth(mx1,iDESmx2,iDES)\Delta_{i}(f;x,y) = \left( m^{\mathrm{ATLAS}}_{f,i} - m^{\mathrm{DES}}_{y2,i}\right) - f^{\mathrm{synth}}_{f\to y2}\left(m^{\mathrm{DES}}_{x1,i} - m^{\mathrm{DES}}_{x2,i}\right)

where fsynthf^{\mathrm{synth}} is a 3rd-order polynomial mapping based on synthetic photometry of NGSL/CALSPEC standards.

  • The chip- and filter-averaged zeropoint offset ΔZPchip(f)\Delta ZP_\mathrm{chip}(f) is determined by maximum likelihood estimation over all calibration stars.
  • RMS on these corrections reduces from 17\sim17 mmag pre-correction to 3\sim3 mmag post-correction.

2.4 Transmission-Function Color Dependence

Calibration residuals as a function of DES (gi)(g-i) for each chip/filter show a slope AfA_f, attributed to deviations in assumed filter throughputs. Correction is implemented by shifting the filter central wavelength by Δλfilt\Delta \lambda_\mathrm{filt}, typically

  • Cyan (chips 0–8): Δλc+28...+87 A˚\Delta \lambda_c \approx +28...+87\ \text{\AA}
  • Orange: Δλo21...+27 A˚\Delta \lambda_o \approx -21...+27\ \text{\AA}

After this chromatic correction, residual color-dependent systematics are suppressed to \lesssim5 mmag across SN~Ia colors.

3. Validation Regimes and Systematic Uncertainties

Comprehensive validation of the calibration chain includes the following elements:

3.1 Tertiary Star Validation

Full calibration (intra-chip, inter-chip, wavelength shift) yields:

  • Median zeropoint offset for the "non-Refcat2" sample 0\sim0 mmag
  • Scatter (σ) reduced from 0.028\approx0.028 mag to 0.019\approx0.019 mag

3.2 CALSPEC and DA White Dwarfs

Synthetic magnitudes computed from HST CALSPEC and DAWD standards are compared to corrected ATLAS fluxes. For chip 6 cyan:

  • Pre-correction: msynthmobs=+0.015\langle m^{\mathrm{synth}} - m^{\mathrm{obs}} \rangle = +0.015 mag; slope =0.0399=-0.0399 mag/(g–i)
  • Post-correction: ...=0.0026\langle ...\rangle = -0.0026 mag; slope =0.0004=-0.0004 mag/(g–i)

3.3 SN~Ia Cross-Matched Distance Moduli

Using SALT3-DESY5 light-curve fits, standardized μ\mu distances are compared for 63 DEBASS, 35 YSE, and 474 ZTF DR2 SNe:

  • DEBASS–TITAN: Δμ=0.005±0.012\Delta\mu = -0.005 \pm 0.012 mag
  • YSE–TITAN: Δμ=+0.039±0.025\Delta\mu = +0.039 \pm 0.025 mag
  • ZTF–TITAN: Δμ=0.038±0.007\Delta\mu = -0.038 \pm 0.007 mag (consistent with ZTF DR2 offset per Newman et al. 2025)

3.4 Systematic Uncertainty Budget

Systematic errors per filter, after all corrections:

Source Systematic (mmag)
Intra-chip \sim3
Inter-chip \sim3
Chromatic λ\lambda-shift \sim5
Absolute scale (CALSPEC) \sim6
Combined $5$–$10$

A conservative $10$ mmag systematic error floor is included for SNANA light-curve analyses.

4. Data Structures, Tools, and Accessibility

ATLAST, a python software package, enables users to apply all calibration corrections and to read/write the forced-photometry light-curve data. Each SN data product includes:

  • MJD (observation date)
  • Filter (cyan or orange)
  • Calibrated AB magnitude (post-corrections)
  • Magnitude error (statistical + systematics)
  • Optional: chip ID, (x,y)(x,y) pixel coordinates

Access options:

Users are advised to apply the pixel, chip, and λ\lambda-shift corrections in sequence using ATLAST, and include the $10$ mmag SNANA error floor. Citation: Murakami, Y. S., Marlin, E. G., et al. 2026, in preparation.

5. Role in SN~Ia Cosmology and Compatibility

TITAN’s RMS-controlled calibration (3\lesssim3–$5$ mmag), extensive sample size, and full documentation position it to strengthen cosmological analyses relying on low-zz SNe~Ia anchors. Key metrics:

  • Distance modulus calibration systematic 0.01\lesssim0.01 mag per filter
  • After light-curve fitting, intrinsic scatter 0.12\lesssim0.12 mag
  • Hubble diagram: \sim3,000 low-zz SNe anchor cosmological fits

TITAN DR1 exhibits cross-survey agreements at 0.04\lesssim0.04 mag with DEBASS and YSE, and replicates the known ZTF DR2 offset. When augmented by higher-redshift samples (e.g., DESY5, Roman, LSST), TITAN can contribute to competitive constraints on cosmological parameters (ww, waw_a, H0H_0) with reduced inter-survey correlation systematics.

A plausible implication is that the controlled, independently validated low-zz reference sample will facilitate joint cosmological analyses across present and forthcoming SN datasets (Marlin et al., 26 Dec 2025).

6. Summary and Prospects

TITAN DR1 delivers a public, thoroughly validated, systematically controlled set of \sim3,000 cosmology-grade, low-redshift SN~Ia light curves. It combines wide sky and redshift coverage, mmag-level calibration stability, and fully documented methodology and access tools. This resource enables robust calibration transfer, facilitates cross-survey standardization, and establishes a foundational anchor for forthcoming dark energy constraints and Hubble constant measurements (Marlin et al., 26 Dec 2025).

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