Newform data - 444.2.r.a

Formats: - HTML - YAML - JSON - 2026-07-21T04:44:29.369451

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 1776, 'analytic_conductor': 3.5453578497448492, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 37, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 18, 'char_orbit_label': 'r', 'char_order': 6, 'char_parity': 1, 'char_values': [444, 6, [223, 149, 409], [6, 6, 5]], 'cm_discs': [], 'conrey_index': 85, 'dim': 2, 'field_disc': -3, 'field_disc_factorization': [[-1, 1], [3, 1]], 'field_poly': [1, -1, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 6, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [12, 6, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 1168264659388, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 37, 5, 1, 6, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '444.2.r.a', 'level': 444, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 37], 'level_radical': 222, 'minimal_twist': '444.2.r.a', 'nf_label': '2.0.3.1', 'prim_orbit_index': 5, 'qexp_display': 'q-\\zeta_{6}q^{3}+(-4+2\\zeta_{6})q^{5}-\\zeta_{6}q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '444.2.r', 'trace_display': [0, -1, -6, -1], 'trace_hash': 532062002457220774, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.019', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.926', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.236', 'prec': 17}, {'__RealLiteral__': 0, 'data': '11.222', 'prec': 20}, {'__RealLiteral__': 0, 'data': '2.516', 'prec': 17}, {'__RealLiteral__': 0, 'data': '92.935', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.186', 'prec': 17}, 'traces': [2, 0, -1, 0, -6, 0, -1, 0, -1, 0, 12, 0, 3, 0, 6, 0, 12, 0, 6, 0, -1, 0, 0, 0, 7, 0, 2, 0, 0, 0, 0, 0, -6, 0, 6, 0, -10, 0, -3, 0, -12, 0, 0, 0, 0, 0, 24, 0, 6, 0, 0, 0, -6, 0, -36, 0, -6, 0, -6, 0, 12, 0, 2, 0, -6, 0, 5, 0, 6, 0, 0, 0, 14, 0, -14, 0, -6, 0, 3, 0, -1, 0, -12, 0, -48, 0, 12, 0, 18, 0, -3, 0, -3, 0, -12, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, 0, 0, -21, 0, -1, 0, -24, 0, -12, 0, 0, 0, 0, 0, 50, 0, -12, 0, 0, 0, 7, 0, 21, 0, 0, 0, -6, 0, -6, 0, 0, 0, 5, 0, -12, 0, 18, 0, -24, 0, -12, 0, -36, 0, -17, 0, -12, 0, 6, 0, -13, 0, 12, 0, 6, 0, 30, 0, 36, 0, 12, 0, -10, 0, 0, 0, 0, 0, -14, 0, 0, 0, 0, 0, 5, 0, -12, 0, 42, 0, 72, 0, -1, 0, 0, 0, 0, 0, 12, 0, -12, 0, 0, 0, 5, 0, 12, 0, 72, 0, -6, 0, 36, 0, -26, 0, 0, 0, -42, 0, -3, 0, -7, 0, 24, 0, 34, 0, 7, 0, 6, 0, -5, 0, -6, 0, -24, 0, -72, 0, -3, 0, 24, 0, -3, 0, -1, 0, 0, 0, 6, 0, 24, 0, 0, 0, 0, 0, 24, 0, -36, 0, -1, 0, -12, 0, -18, 0, 0, 0, 0, 0, -24, 0, 29, 0, 0, 0, 42, 0, 0, 0, 3, 0, -36, 0, 3, 0, 24, 0, -12, 0, 31, 0, -3, 0, 18, 0, 24, 0, 12, 0, 6, 0, 21, 0, 0, 0, -24, 0, -50, 0, -6, 0, 36, 0, -51, 0, -6, 0, 30, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -12, 0, 45, 0, 11, 0, -30, 0, -5, 0, 0, 0, 0, 0, -26, 0, -12, 0, 0, 0, 26, 0, 3, 0, 6, 0, 0, 0, -12, 0, -72, 0, -7, 0, -25, 0, -42, 0, 7, 0, 24, 0, 12, 0, -1, 0, 12, 0, 12, 0, 20, 0, -14, 0, -42, 0, 36, 0, -21, 0, -18, 0, -24, 0, 0, 0, -6, 0, -22, 0, 0, 0, 0, 0, -3, 0, 6, 0, -60, 0, 3, 0, 0, 0, 0, 0, 0, 0, -10, 0, -18, 0, 0, 0, -12, 0, 84, 0, -12, 0, -18, 0, 48, 0, -76, 0, -24, 0, 12, 0, 21, 0, 6, 0, -36, 0, -72, 0, 18, 0, -60, 0, -72, 0, -17, 0, 12, 0, 36, 0, 12, 0, -24, 0, -27, 0, 6, 0, 0, 0, 5, 0, 26, 0, 0, 0, 0, 0, -6, 0, -30, 0, -21, 0, -6, 0, 6, 0, 0, 0, 0, 0, -12, 0, -48, 0, 0, 0, 0, 0, 18, 0, -12, 0, 18, 0, 0, 0, 20, 0, -6, 0, -7, 0, 6, 0, 12, 0, 144, 0, 0, 0, -12, 0, -75, 0, 7, 0, 12, 0, 22, 0, 6, 0, -36, 0, 0, 0, -12, 0, 36, 0, 0, 0, 5, 0, 84, 0, 0, 0, 0, 0, 24, 0, -3, 0, -18, 0, 60, 0, 21, 0, 0, 0, 0, 0, 96, 0, -1, 0, 0, 0, 5, 0, 18, 0, 42, 0, 60, 0, 9, 0, 24, 0, -36, 0, -6, 0, 30, 0, -6, 0, 24, 0, 36, 0, 24, 0, 9, 0, -30, 0, 23, 0, -10, 0, -150, 0, -30, 0, -12, 0, 36, 0, -2, 0, 0, 0, 6, 0, -2, 0, 0, 0, 0, 0, 11, 0, -36, 0, -36, 0, 81, 0, 13, 0, 0, 0, 0, 0, 0, 0, 30, 0, 0, 0, -42, 0, -30, 0, -36, 0, 3, 0, 0, 0, 0, 0, -7, 0, 24, 0, -51, 0, -12, 0, 24, 0, -48, 0, -17, 0, 72, 0, -10, 0, 7, 0, -36, 0, -3, 0, -6, 0, 60, 0, 0, 0, -5, 0, 0, 0, 35, 0, 12, 0, 0, 0, 0, 0, 12, 0, 84, 0, -42, 0, 72, 0, 0, 0, 0, 0, 0, 0, 12, 0, -36, 0, 0, 0, -12, 0, -6, 0, 3, 0, 84, 0, -15, 0, 2, 0, -84, 0, -41, 0, 36, 0, 30, 0, -8, 0, -12, 0, 48, 0, 108, 0, -12, 0, 0, 0, 86, 0, -42, 0, 102, 0, -63, 0, 36, 0, -42, 0, 0, 0, 24, 0, -12, 0, 0, 0, 0, 0, -36, 0, -21, 0, 11, 0, -72, 0, 0, 0, 0, 0, 0, 0, 10, 0, -18, 0, 0, 0, 12, 0, -36, 0, -18, 0, 144, 0, -18, 0, 84, 0, -12, 0, 12, 0, -42, 0, -40, 0, -58, 0, -120, 0, 42, 0, 3, 0, 30, 0, 43, 0, -84, 0, -42, 0, 9, 0, 0, 0, 72, 0, -24, 0, 0, 0, -18, 0, -38, 0, 0, 0, 0, 0, -25, 0, -3, 0, 24, 0, -60, 0, -12, 0, 0, 0, 0, 0, 24, 0, -12, 0, 0, 0, 31, 0, 18, 0, 15, 0, 3, 0, 12, 0, -22, 0, 18, 0, -30, 0, 30, 0, -12, 0, -36, 0, -14, 0, -6, 0, 72, 0, 24, 0, 6, 0, 24, 0, -72, 0, -21, 0, -30, 0, -63, 0, 0, 0, 0, 0, -72, 0, 48, 0, 0, 0, 0, 0, 25, 0, 0, 0, -77, 0, 6, 0, -48, 0, 0, 0, 0, 0, -288, 0, -23, 0, 0, 0, 54, 0, 72, 0, 6, 0, 36, 0, 21, 0, -60, 0, -42, 0, -36, 0, 72, 0, 0, 0, 56, 0, 0, 0, -18, 0, -63, 0, -24, 0, 42, 0, -10, 0, -21, 0, 30, 0, 108, 0, 21, 0, 12, 0, 0, 0, -12, 0, -84, 0, 0, 0, 0, 0, -18, 0, -72, 0, -10, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1, 0], [0, 0], [0, -1], [0, 0], [-4, 2], [0, 0], [0, -1], [0, 0], [-1, 1], [0, 0], [6, 0], [0, 0], [2, -1], [0, 0], [2, 2], [0, 0], [4, 4], [0, 0], [4, -2], [0, 0], [-1, 1], [0, 0], [-2, 4], [0, 0], [7, -7], [0, 0], [1, 0], [0, 0], [-4, 8], [0, 0], [1, -2], [0, 0], [0, -6], [0, 0], [2, 2], [0, 0], [-3, -4], [0, 0], [-1, -1], [0, 0], [0, -12], [0, 0], [-7, 14], [0, 0], [2, -4], [0, 0], [12, 0], [0, 0], [6, -6], [0, 0], [4, -8], [0, 0], [-6, 6], [0, 0], [-24, 12], [0, 0], [-2, -2], [0, 0], [-2, -2], [0, 0], [8, -4], [0, 0], [1, 0], [0, 0], [-6, 6], [0, 0], [0, 5], [0, 0], [4, -2], [0, 0], [0, 0], [0, 0], [7, 0], [0, 0], [-7, 0], [0, 0], [0, -6], [0, 0], [2, -1], [0, 0], [0, -1], [0, 0], [-12, 12], [0, 0], [-24, 0], [0, 0], [8, -4], [0, 0], [6, 6], [0, 0], [-1, -1], [0, 0], [-2, 1], [0, 0], [-12, 12], [0, 0], [1, -2], [0, 0], [-6, 6], [0, 0]], 'ap': [[0, 0], [0, -1], [-4, 2], [0, -1], [6, 0], [2, -1], [4, 4], [4, -2], [-2, 4], [-4, 8], [1, -2], [-3, -4], [0, -12], [-7, 14], [12, 0], [-6, 6], [-2, -2], [8, -4], [0, 5], [0, 0], [7, 0], [2, -1], [-12, 12], [6, 6], [1, -2], [0, 0], [2, -4], [0, 0], [-7, -7], [-8, -8], [7, -7], [0, 0], [0, 0], [5, -5], [-18, 0], [0, -17], [-13, 13], [10, 10], [8, -4], [0, 0], [4, -8], [0, 5], [-6, 12], [-3, 6], [-12, 12], [-3, 6], [-13, 0], [17, 0], [4, -2], [0, -5], [-12, 0], [8, 8], [-2, 1], [14, -28], [-12, -12], [0, -18], [-12, 0], [29, -29], [0, 0], [-12, -12], [2, -1], [0, 18], [-25, 0], [12, 12], [-17, -17], [30, -30], [15, 15], [0, -5], [10, -20], [26, -26], [2, 2], [-36, 0], [0, 7], [0, -1], [20, -20], [-28, 14], [-12, 6], [-11, 0], [12, -24], [1, 1], [-18, 18], [-16, 32], [32, -16], [-38, 0], [14, -7], [-18, 0], [-40, 20], [24, -12], [-8, -8], [-18, 9], [2, -4], [-10, -10], [2, -4], [-6, 0], [12, -6], [6, 6], [-6, 6], [0, -12], [-50, 25], [-13, 26], [5, -10], [20, 20], [-12, 24], [4, -8], [5, -5], [20, 20], [20, -10], [18, 0], [0, -30], [23, -23], [-10, -10], [-2, 2], [6, -6], [-1, 0], [27, 27], [30, -30], [-5, 10], [-20, 10], [0, 0], [0, 24], [-34, 17], [0, -10], [-18, 0], [20, 20], [35, -35], [28, 28], [23, -46], [-12, 12], [-10, 5], [0, -41], [-4, 0], [0, 48], [43, 0], [-21, -21], [-42, 42], [-9, 18], [0, -36], [5, 0], [-6, -6], [-28, 14], [0, -40], [0, 30], [43, -43], [-28, 14], [3, 3], [-18, 18], [-20, -20], [8, -16], [21, -42], [-12, 12], [-11, 0], [0, -30], [20, -10], [-18, 0], [-42, 21], [-22, 44], [11, -22], [0, -48], [-23, 23], [54, -54], [12, 12], [-42, 42], [-42, 21], [42, -42], [10, 10], [12, -12], [-2, 4], [-24, -24]], 'char_orbit_index': 18, 'field_poly': [1, -1, 1], 'hecke_orbit_code': 1168264659388, 'hecke_ring_character_values': [[223, [1, 0]], [149, [1, 0]], [409, [0, 1]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '444.2.r.a', 'level': 444, 'maxp': 997, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 1776, 'analytic_conductor': 3.5453578497448492, 'char_conductor': 37, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 18, 'char_orbit_label': 'r', 'char_order': 6, 'char_parity': 1, 'char_values': [444, 6, [223, 149, 409], [6, 6, 5]], 'conrey_index': 85, 'cusp_dim': 140, 'dim': 16, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 1168264659388, 'hecke_orbit_dims': [2, 2, 4, 8], 'label': '444.2.r', 'level': 444, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 37], 'level_radical': 222, 'mf_dim': 164, 'mf_new_dim': 16, 'num_forms': 4, 'prim_orbit_index': 5, 'relative_dim': 8, 'sturm_bound': 152, 'trace_bound': 5, 'trace_display': [0, 0, 0, 0], 'traces': [16, 0, 0, 0, 0, 0, 0, 0, -8, 0, 8, 0, 0, 0, 0, 0, 0, 0, -18, 0, 2, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, -2, 0, 54, 0, 10, 0, 24, 0, -18, 0, 0, 0, 0, 0, 4, 0, -30, 0, 0, 0, 26, 0, 0, 0, -24, 0, -48, 0, 6, 0, 0, 0, -22, 0, 10, 0, 24, 0, -16, 0, -28, 0, -8, 0, -12, 0, -30, 0, -8, 0, -4, 0, -32, 0, 6, 0, 42, 0, -42, 0, -30, 0, 34, 0, 0, 0, -4, 0, 20, 0, 0, 0, 0, 0, -12, 0, 6, 0, 4, 0, -48, 0, 2, 0, 0, 0, 0, 0, 100, 0, -26, 0, 0, 0, 16, 0, 6, 0, 0, 0, -18, 0, 0, 0, 68, 0, -12, 0, 6, 0, -90, 0, -52, 0, 16, 0, -44, 0, -20, 0, 0, 0, -12, 0, -34, 0, -12, 0, -90, 0, 96, 0, -12, 0, -6, 0, 24, 0, 0, 0, 20, 0, 52, 0, 0, 0, 0, 0, 40, 0, -24, 0, 98, 0, 78, 0, 2, 0, 0, 0, 0, 0, 84, 0, -4, 0, 0, 0, -22, 0, 6, 0, -126, 0, -6, 0, 150, 0, 96, 0, -4, 0, 38, 0, 42, 0, -44, 0, -64, 0, -60, 0, 20, 0, -138, 0, -46, 0, 18, 0, 48, 0, -54, 0, 18, 0, 102, 0, -54, 0, 0, 0, 0, 0, -22, 0, 32, 0, 0, 0, 0, 0, 44, 0, 36, 0, 44, 0, 0, 0, -32, 0, 0, 0, 0, 0, -40, 0, -14, 0, 0, 0, 62, 0, -36, 0, 0, 0, 48, 0, 18, 0, 60, 0, 4, 0, 50, 0, 12, 0, 38, 0, 104, 0, 4, 0, -50, 0, -36, 0, -2, 0, -58, 0, -40, 0, 48, 0, 144, 0, 24, 0, -54, 0, 64, 0, 0, 0, 32, 0, -24, 0, 0, 0, 0, 0, -58, 0, 66, 0, -2, 0, -156, 0, -16, 0, 0, 0, 0, 0, 24, 0, -24, 0, 0, 0, -30, 0, -24, 0, -114, 0, -108, 0, -126, 0, -148, 0, 18, 0, -36, 0, -168, 0, -126, 0, 36, 0, 84, 0, 52, 0, -54, 0, 92, 0, 12, 0, -68, 0, -90, 0, 24, 0, -30, 0, -12, 0, 6, 0, 0, 0, -36, 0, 124, 0, 0, 0, 0, 0, -4, 0, 0, 0, -68, 0, 12, 0, 46, 0, 0, 0, 0, 0, 116, 0, -14, 0, 0, 0, -2, 0, -42, 0, 36, 0, -60, 0, 240, 0, 24, 0, -8, 0, 106, 0, 84, 0, -30, 0, -88, 0, -52, 0, -6, 0, 72, 0, -50, 0, -2, 0, 108, 0, 30, 0, 6, 0, 0, 0, -138, 0, -56, 0, 0, 0, 92, 0, 64, 0, 0, 0, 0, 0, 26, 0, 78, 0, 30, 0, 156, 0, -130, 0, 0, 0, 0, 0, -244, 0, -46, 0, 0, 0, 172, 0, -18, 0, -30, 0, -54, 0, -210, 0, 80, 0, 16, 0, -76, 0, 24, 0, 148, 0, 68, 0, -56, 0, -38, 0, -96, 0, -78, 0, -8, 0, -140, 0, 48, 0, -90, 0, -24, 0, -42, 0, 60, 0, 0, 0, -4, 0, -20, 0, 0, 0, 0, 0, -68, 0, -48, 0, 8, 0, -156, 0, 114, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, -40, 0, 18, 0, 72, 0, 0, 0, -132, 0, -88, 0, -54, 0, -22, 0, 54, 0, 40, 0, 84, 0, 36, 0, -46, 0, 30, 0, 32, 0, 24, 0, -20, 0, -108, 0, -72, 0, -30, 0, 252, 0, -78, 0, 0, 0, -24, 0, -80, 0, 0, 0, 0, 0, 52, 0, -24, 0, 130, 0, 186, 0, 66, 0, 0, 0, 0, 0, 32, 0, 114, 0, 0, 0, -94, 0, 186, 0, 90, 0, -12, 0, 156, 0, 24, 0, 14, 0, 10, 0, -36, 0, -86, 0, -212, 0, 212, 0, 66, 0, 120, 0, -30, 0, 4, 0, 200, 0, 234, 0, -30, 0, 114, 0, 6, 0, -32, 0, 0, 0, -46, 0, 24, 0, 0, 0, 0, 0, 18, 0, 120, 0, -20, 0, 168, 0, -184, 0, 0, 0, 0, 0, -208, 0, -114, 0, 0, 0, -18, 0, 30, 0, 12, 0, 198, 0, -222, 0, 16, 0, -56, 0, -72, 0, 192, 0, 130, 0, -32, 0, -24, 0, -54, 0, 258, 0, -4, 0, -24, 0, 100, 0, 48, 0, 30, 0, -204, 0, -96, 0, 38, 0, 0, 0, 16, 0, -372, 0, 0, 0, 0, 0, -156, 0, -264, 0, -78, 0, -270, 0, 16, 0, 0, 0, 0, 0, 56, 0, -58, 0, 0, 0, -28, 0, -60, 0, 96, 0, 120, 0, -42, 0, -128, 0, 38, 0, -30, 0, -318, 0, -4, 0, 92, 0, 124, 0, 106, 0, 42, 0, 72, 0, 76, 0, -260, 0, -204, 0, 0, 0, -132, 0, 258, 0, -66, 0, 0, 0, -6, 0, 12, 0, 0, 0, 0, 0, 158, 0, -126, 0, -46, 0, 84, 0, 34, 0, 0, 0, 0, 0, 164, 0, 140, 0, 0, 0, -72, 0, -126, 0, -72, 0, 6, 0, 402, 0, 132, 0, -8, 0, -42, 0, 96, 0, -80, 0, 28, 0, -244, 0, -4, 0, 108, 0, 92, 0, 42, 0, 344, 0, 132, 0, -60, 0, 90, 0, 36, 0, -10, 0, 0, 0, -16, 0, 56, 0, 0, 0, 0, 0, 86, 0, 84, 0, -256, 0, 66, 0, 4, 0, 0, 0, 0, 0, -700, 0, 62, 0, 0, 0, 134, 0, -24, 0, -12, 0, -30, 0, -126, 0, -8, 0, 32, 0, -58, 0, 228, 0, 196, 0, -44, 0, 24, 0, -104, 0, -84, 0, -66, 0, 54, 0, -372, 0, 180, 0, -258, 0, 72, 0, -6, 0, 6, 0, 0, 0, -74, 0, -28, 0, 0, 0, 0, 0, -100, 0, -36, 0, -20, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 325294
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 18, 'source_dim': 2, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '444.2.r.a', 'source_level': 444, 'target_char_orbit': 18, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '444.2.r.a', 'target_level': 444, 'twist_class_label': '444.2.r.a', 'twist_class_level': 444, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 325295
    {'conductor': 37, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 2, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '444.2.r.a', 'source_level': 444, 'target_char_orbit': 18, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '444.2.r.a', 'target_level': 444, 'twist_class_label': '444.2.r.a', 'twist_class_level': 444, 'twisting_char_label': '37.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 325296
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 2, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '444.2.r.a', 'source_level': 444, 'target_char_orbit': 35, 'target_dim': 2, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '1332.2.bi.f', 'target_level': 1332, 'twist_class_label': '444.2.r.a', 'twist_class_level': 444, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 325297
    {'conductor': 111, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 2, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '444.2.r.a', 'source_level': 444, 'target_char_orbit': 35, 'target_dim': 2, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '1332.2.bi.f', 'target_level': 1332, 'twist_class_label': '444.2.r.a', 'twist_class_level': 444, 'twisting_char_label': '111.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 325298
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 2, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '444.2.r.a', 'source_level': 444, 'target_char_orbit': 52, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '1776.2.bz.a', 'target_level': 1776, 'twist_class_label': '444.2.r.a', 'twist_class_level': 444, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 325299
    {'conductor': 148, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 18, 'source_dim': 2, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '444.2.r.a', 'source_level': 444, 'target_char_orbit': 52, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '1776.2.bz.a', 'target_level': 1776, 'twist_class_label': '444.2.r.a', 'twist_class_level': 444, 'twisting_char_label': '148.j', 'twisting_char_orbit': 10, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 899775
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 1168264659388, 'p': 2}
  • id: 899776
    {'charpoly_factorization': [[[1, 1, 1], 1]], 'hecke_orbit_code': 1168264659388, 'p': 3}
  • id: 899777
    {'charpoly_factorization': [[[12, 6, 1], 1]], 'hecke_orbit_code': 1168264659388, 'p': 5}
  • id: 899778
    {'charpoly_factorization': [[[1, 1, 1], 1]], 'hecke_orbit_code': 1168264659388, 'p': 7}
  • id: 899779
    {'charpoly_factorization': [[[-6, 1], 2]], 'hecke_orbit_code': 1168264659388, 'p': 11}
  • id: 899780
    {'charpoly_factorization': [[[3, -3, 1], 1]], 'hecke_orbit_code': 1168264659388, 'p': 13}
  • id: 899781
    {'charpoly_factorization': [[[48, -12, 1], 1]], 'hecke_orbit_code': 1168264659388, 'p': 17}
  • id: 899782
    {'charpoly_factorization': [[[12, -6, 1], 1]], 'hecke_orbit_code': 1168264659388, 'p': 19}
  • id: 899783
    {'charpoly_factorization': [[[12, 0, 1], 1]], 'hecke_orbit_code': 1168264659388, 'p': 23}
  • id: 899784
    {'charpoly_factorization': [[[48, 0, 1], 1]], 'hecke_orbit_code': 1168264659388, 'p': 29}
  • id: 899785
    {'charpoly_factorization': [[[3, 0, 1], 1]], 'hecke_orbit_code': 1168264659388, 'p': 31}
  • id: 899786
    {'charpoly_factorization': [[[37, 10, 1], 1]], 'hecke_orbit_code': 1168264659388, 'p': 37}
  • id: 899787
    {'charpoly_factorization': [[[144, 12, 1], 1]], 'hecke_orbit_code': 1168264659388, 'p': 41}
  • id: 899788
    {'charpoly_factorization': [[[147, 0, 1], 1]], 'hecke_orbit_code': 1168264659388, 'p': 43}
  • id: 899789
    {'charpoly_factorization': [[[-12, 1], 2]], 'hecke_orbit_code': 1168264659388, 'p': 47}
  • id: 899790
    {'charpoly_factorization': [[[36, 6, 1], 1]], 'hecke_orbit_code': 1168264659388, 'p': 53}
  • id: 899791
    {'charpoly_factorization': [[[12, 6, 1], 1]], 'hecke_orbit_code': 1168264659388, 'p': 59}
  • id: 899792
    {'charpoly_factorization': [[[48, -12, 1], 1]], 'hecke_orbit_code': 1168264659388, 'p': 61}
  • id: 899793
    {'charpoly_factorization': [[[25, -5, 1], 1]], 'hecke_orbit_code': 1168264659388, 'p': 67}
  • id: 899794
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 1168264659388, 'p': 71}
  • id: 899795
    {'charpoly_factorization': [[[-7, 1], 2]], 'hecke_orbit_code': 1168264659388, 'p': 73}
  • id: 899796
    {'charpoly_factorization': [[[3, -3, 1], 1]], 'hecke_orbit_code': 1168264659388, 'p': 79}
  • id: 899797
    {'charpoly_factorization': [[[144, 12, 1], 1]], 'hecke_orbit_code': 1168264659388, 'p': 83}
  • id: 899798
    {'charpoly_factorization': [[[108, -18, 1], 1]], 'hecke_orbit_code': 1168264659388, 'p': 89}
  • id: 899799
    {'charpoly_factorization': [[[3, 0, 1], 1]], 'hecke_orbit_code': 1168264659388, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 18, 'hecke_orbit': 1, 'label': '444.2.r.a', 'level': 444, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 12381486
    {'hecke_orbit_code': 1168264659388, 'n': 1, 'trace_an': 2}
  • id: 12381487
    {'hecke_orbit_code': 1168264659388, 'n': 2, 'trace_an': 0}
  • id: 12381488
    {'hecke_orbit_code': 1168264659388, 'n': 3, 'trace_an': -1}
  • id: 12381489
    {'hecke_orbit_code': 1168264659388, 'n': 4, 'trace_an': 0}
  • id: 12381490
    {'hecke_orbit_code': 1168264659388, 'n': 5, 'trace_an': -6}
  • id: 12381491
    {'hecke_orbit_code': 1168264659388, 'n': 6, 'trace_an': 0}
  • id: 12381492
    {'hecke_orbit_code': 1168264659388, 'n': 7, 'trace_an': -1}
  • id: 12381493
    {'hecke_orbit_code': 1168264659388, 'n': 8, 'trace_an': 0}
  • id: 12381494
    {'hecke_orbit_code': 1168264659388, 'n': 9, 'trace_an': -1}
  • id: 12381495
    {'hecke_orbit_code': 1168264659388, 'n': 10, 'trace_an': 0}
  • id: 12381496
    {'hecke_orbit_code': 1168264659388, 'n': 11, 'trace_an': 12}
  • id: 12381497
    {'hecke_orbit_code': 1168264659388, 'n': 12, 'trace_an': 0}
  • id: 12381498
    {'hecke_orbit_code': 1168264659388, 'n': 13, 'trace_an': 3}
  • id: 12381499
    {'hecke_orbit_code': 1168264659388, 'n': 14, 'trace_an': 0}
  • id: 12381500
    {'hecke_orbit_code': 1168264659388, 'n': 15, 'trace_an': 6}
  • id: 12381501
    {'hecke_orbit_code': 1168264659388, 'n': 16, 'trace_an': 0}
  • id: 12381502
    {'hecke_orbit_code': 1168264659388, 'n': 17, 'trace_an': 12}
  • id: 12381503
    {'hecke_orbit_code': 1168264659388, 'n': 18, 'trace_an': 0}
  • id: 12381504
    {'hecke_orbit_code': 1168264659388, 'n': 19, 'trace_an': 6}
  • id: 12381505
    {'hecke_orbit_code': 1168264659388, 'n': 20, 'trace_an': 0}
  • id: 12381506
    {'hecke_orbit_code': 1168264659388, 'n': 21, 'trace_an': -1}
  • id: 12381507
    {'hecke_orbit_code': 1168264659388, 'n': 22, 'trace_an': 0}
  • id: 12381508
    {'hecke_orbit_code': 1168264659388, 'n': 23, 'trace_an': 0}
  • id: 12381509
    {'hecke_orbit_code': 1168264659388, 'n': 24, 'trace_an': 0}
  • id: 12381510
    {'hecke_orbit_code': 1168264659388, 'n': 25, 'trace_an': 7}
  • id: 12381511
    {'hecke_orbit_code': 1168264659388, 'n': 26, 'trace_an': 0}
  • id: 12381512
    {'hecke_orbit_code': 1168264659388, 'n': 27, 'trace_an': 2}
  • id: 12381513
    {'hecke_orbit_code': 1168264659388, 'n': 28, 'trace_an': 0}
  • id: 12381514
    {'hecke_orbit_code': 1168264659388, 'n': 29, 'trace_an': 0}
  • id: 12381515
    {'hecke_orbit_code': 1168264659388, 'n': 30, 'trace_an': 0}
  • id: 12381516
    {'hecke_orbit_code': 1168264659388, 'n': 31, 'trace_an': 0}
  • id: 12381517
    {'hecke_orbit_code': 1168264659388, 'n': 32, 'trace_an': 0}
  • id: 12381518
    {'hecke_orbit_code': 1168264659388, 'n': 33, 'trace_an': -6}
  • id: 12381519
    {'hecke_orbit_code': 1168264659388, 'n': 34, 'trace_an': 0}
  • id: 12381520
    {'hecke_orbit_code': 1168264659388, 'n': 35, 'trace_an': 6}
  • id: 12381521
    {'hecke_orbit_code': 1168264659388, 'n': 36, 'trace_an': 0}
  • id: 12381522
    {'hecke_orbit_code': 1168264659388, 'n': 37, 'trace_an': -10}
  • id: 12381523
    {'hecke_orbit_code': 1168264659388, 'n': 38, 'trace_an': 0}
  • id: 12381524
    {'hecke_orbit_code': 1168264659388, 'n': 39, 'trace_an': -3}
  • id: 12381525
    {'hecke_orbit_code': 1168264659388, 'n': 40, 'trace_an': 0}
  • id: 12381526
    {'hecke_orbit_code': 1168264659388, 'n': 41, 'trace_an': -12}
  • id: 12381527
    {'hecke_orbit_code': 1168264659388, 'n': 42, 'trace_an': 0}
  • id: 12381528
    {'hecke_orbit_code': 1168264659388, 'n': 43, 'trace_an': 0}
  • id: 12381529
    {'hecke_orbit_code': 1168264659388, 'n': 44, 'trace_an': 0}
  • id: 12381530
    {'hecke_orbit_code': 1168264659388, 'n': 45, 'trace_an': 0}
  • id: 12381531
    {'hecke_orbit_code': 1168264659388, 'n': 46, 'trace_an': 0}
  • id: 12381532
    {'hecke_orbit_code': 1168264659388, 'n': 47, 'trace_an': 24}
  • id: 12381533
    {'hecke_orbit_code': 1168264659388, 'n': 48, 'trace_an': 0}
  • id: 12381534
    {'hecke_orbit_code': 1168264659388, 'n': 49, 'trace_an': 6}
  • id: 12381535
    {'hecke_orbit_code': 1168264659388, 'n': 50, 'trace_an': 0}
  • id: 12381536
    {'hecke_orbit_code': 1168264659388, 'n': 51, 'trace_an': 0}
  • id: 12381537
    {'hecke_orbit_code': 1168264659388, 'n': 52, 'trace_an': 0}
  • id: 12381538
    {'hecke_orbit_code': 1168264659388, 'n': 53, 'trace_an': -6}
  • id: 12381539
    {'hecke_orbit_code': 1168264659388, 'n': 54, 'trace_an': 0}
  • id: 12381540
    {'hecke_orbit_code': 1168264659388, 'n': 55, 'trace_an': -36}
  • id: 12381541
    {'hecke_orbit_code': 1168264659388, 'n': 56, 'trace_an': 0}
  • id: 12381542
    {'hecke_orbit_code': 1168264659388, 'n': 57, 'trace_an': -6}
  • id: 12381543
    {'hecke_orbit_code': 1168264659388, 'n': 58, 'trace_an': 0}
  • id: 12381544
    {'hecke_orbit_code': 1168264659388, 'n': 59, 'trace_an': -6}
  • id: 12381545
    {'hecke_orbit_code': 1168264659388, 'n': 60, 'trace_an': 0}
  • id: 12381546
    {'hecke_orbit_code': 1168264659388, 'n': 61, 'trace_an': 12}
  • id: 12381547
    {'hecke_orbit_code': 1168264659388, 'n': 62, 'trace_an': 0}
  • id: 12381548
    {'hecke_orbit_code': 1168264659388, 'n': 63, 'trace_an': 2}
  • id: 12381549
    {'hecke_orbit_code': 1168264659388, 'n': 64, 'trace_an': 0}
  • id: 12381550
    {'hecke_orbit_code': 1168264659388, 'n': 65, 'trace_an': -6}
  • id: 12381551
    {'hecke_orbit_code': 1168264659388, 'n': 66, 'trace_an': 0}
  • id: 12381552
    {'hecke_orbit_code': 1168264659388, 'n': 67, 'trace_an': 5}
  • id: 12381553
    {'hecke_orbit_code': 1168264659388, 'n': 68, 'trace_an': 0}
  • id: 12381554
    {'hecke_orbit_code': 1168264659388, 'n': 69, 'trace_an': 6}
  • id: 12381555
    {'hecke_orbit_code': 1168264659388, 'n': 70, 'trace_an': 0}
  • id: 12381556
    {'hecke_orbit_code': 1168264659388, 'n': 71, 'trace_an': 0}
  • id: 12381557
    {'hecke_orbit_code': 1168264659388, 'n': 72, 'trace_an': 0}
  • id: 12381558
    {'hecke_orbit_code': 1168264659388, 'n': 73, 'trace_an': 14}
  • id: 12381559
    {'hecke_orbit_code': 1168264659388, 'n': 74, 'trace_an': 0}
  • id: 12381560
    {'hecke_orbit_code': 1168264659388, 'n': 75, 'trace_an': -14}
  • id: 12381561
    {'hecke_orbit_code': 1168264659388, 'n': 76, 'trace_an': 0}
  • id: 12381562
    {'hecke_orbit_code': 1168264659388, 'n': 77, 'trace_an': -6}
  • id: 12381563
    {'hecke_orbit_code': 1168264659388, 'n': 78, 'trace_an': 0}
  • id: 12381564
    {'hecke_orbit_code': 1168264659388, 'n': 79, 'trace_an': 3}
  • id: 12381565
    {'hecke_orbit_code': 1168264659388, 'n': 80, 'trace_an': 0}
  • id: 12381566
    {'hecke_orbit_code': 1168264659388, 'n': 81, 'trace_an': -1}
  • id: 12381567
    {'hecke_orbit_code': 1168264659388, 'n': 82, 'trace_an': 0}
  • id: 12381568
    {'hecke_orbit_code': 1168264659388, 'n': 83, 'trace_an': -12}
  • id: 12381569
    {'hecke_orbit_code': 1168264659388, 'n': 84, 'trace_an': 0}
  • id: 12381570
    {'hecke_orbit_code': 1168264659388, 'n': 85, 'trace_an': -48}
  • id: 12381571
    {'hecke_orbit_code': 1168264659388, 'n': 86, 'trace_an': 0}
  • id: 12381572
    {'hecke_orbit_code': 1168264659388, 'n': 87, 'trace_an': 12}
  • id: 12381573
    {'hecke_orbit_code': 1168264659388, 'n': 88, 'trace_an': 0}
  • id: 12381574
    {'hecke_orbit_code': 1168264659388, 'n': 89, 'trace_an': 18}
  • id: 12381575
    {'hecke_orbit_code': 1168264659388, 'n': 90, 'trace_an': 0}
  • id: 12381576
    {'hecke_orbit_code': 1168264659388, 'n': 91, 'trace_an': -3}
  • id: 12381577
    {'hecke_orbit_code': 1168264659388, 'n': 92, 'trace_an': 0}
  • id: 12381578
    {'hecke_orbit_code': 1168264659388, 'n': 93, 'trace_an': -3}
  • id: 12381579
    {'hecke_orbit_code': 1168264659388, 'n': 94, 'trace_an': 0}
  • id: 12381580
    {'hecke_orbit_code': 1168264659388, 'n': 95, 'trace_an': -12}
  • id: 12381581
    {'hecke_orbit_code': 1168264659388, 'n': 96, 'trace_an': 0}
  • id: 12381582
    {'hecke_orbit_code': 1168264659388, 'n': 97, 'trace_an': 0}
  • id: 12381583
    {'hecke_orbit_code': 1168264659388, 'n': 98, 'trace_an': 0}
  • id: 12381584
    {'hecke_orbit_code': 1168264659388, 'n': 99, 'trace_an': -6}
  • id: 12381585
    {'hecke_orbit_code': 1168264659388, 'n': 100, 'trace_an': 0}