TITAN SN~Ia DR1 Dataset
- 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- 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 , set by the ATLAS photometric detection threshold (), with near-all-sky coverage:
- Northern telescopes (Haleakala, Mauna Loa):
- Southern telescopes (South Africa, Chile):
- Nightly full-sky monitoring cadence
ATLAS utilizes four 0.5-m f/2 Wright–Geminian telescopes, each equipped with a px STA-1600 CCD, read out at binning. The typical point spread function has FWHM $3.7''$–$5.6''$. Photometric observations are performed in two broad bands:
- ATLAS-cyan ():
- ATLAS-orange ():
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 deg, 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:
- "Color-blind" (uniform in DES color, matched to Refcat2)
- "Blue" (DES )
- "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 ()
For each chip, the pixel-level residual is evaluated as:
where ) is the observed magnitude, and the median is computed over many dithered observations.
- The 1056010560-px focal plane is binned into pixel cells, convolved with a Gaussian kernel of px to produce per chip-filter correction maps.
- RMS across 10-pixel bins is reduced from mmag (pre-correction) to mmag (post-correction).
2.3 Inter-Chip Zeropoint Offsets ()
For each chip and filter , the color-transformed residual:
where is a 3rd-order polynomial mapping based on synthetic photometry of NGSL/CALSPEC standards.
- The chip- and filter-averaged zeropoint offset is determined by maximum likelihood estimation over all calibration stars.
- RMS on these corrections reduces from mmag pre-correction to mmag post-correction.
2.4 Transmission-Function Color Dependence
Calibration residuals as a function of DES for each chip/filter show a slope , attributed to deviations in assumed filter throughputs. Correction is implemented by shifting the filter central wavelength by , typically
- Cyan (chips 0–8):
- Orange:
After this chromatic correction, residual color-dependent systematics are suppressed to 5 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 mmag
- Scatter (σ) reduced from mag to 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: mag; slope mag/(g–i)
- Post-correction: mag; slope mag/(g–i)
3.3 SN~Ia Cross-Matched Distance Moduli
Using SALT3-DESY5 light-curve fits, standardized distances are compared for 63 DEBASS, 35 YSE, and 474 ZTF DR2 SNe:
- DEBASS–TITAN: mag
- YSE–TITAN: mag
- ZTF–TITAN: 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 | 3 |
| Inter-chip | 3 |
| Chromatic -shift | 5 |
| Absolute scale (CALSPEC) | 6 |
| 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, pixel coordinates
Access options:
- TITAN documentation: https://titan-snia.github.io
- ATLAST software and calibration maps: https://github.com/SterlingYM/ATLAST
- ATLAS forced photometry server: https://fallingstar-data.com/forcedphot/
Users are advised to apply the pixel, chip, and -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 (–$5$ mmag), extensive sample size, and full documentation position it to strengthen cosmological analyses relying on low- SNe~Ia anchors. Key metrics:
- Distance modulus calibration systematic mag per filter
- After light-curve fitting, intrinsic scatter mag
- Hubble diagram: 3,000 low- SNe anchor cosmological fits
TITAN DR1 exhibits cross-survey agreements at 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 (, , ) with reduced inter-survey correlation systematics.
A plausible implication is that the controlled, independently validated low- 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 3,000 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).