Newform data - 380.2.k.a

Formats: - HTML - YAML - JSON - 2026-07-16T20:52:07.291032

• 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': 1520, 'analytic_conductor': 3.0343152768086545, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 20, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 11, 'char_orbit_label': 'k', 'char_order': 4, 'char_parity': 1, 'char_values': [380, 4, [191, 77, 21], [2, 1, 4]], 'cm_discs': [], 'conrey_index': 267, 'dim': 2, 'field_disc': -4, 'field_disc_factorization': [[-1, 1], [2, 2]], 'field_poly': [1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 4, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [2, 2, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 687228322172, 'hecke_ring_generator_nbound': 2, '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, 20, 5, 1, 4, 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': '380.2.k.a', 'level': 380, '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, 5, 19], 'level_radical': 190, 'minimal_twist': '380.2.k.a', 'nf_label': '2.0.4.1', 'prim_orbit_index': 5, 'qexp_display': 'q+(i-1)q^{2}+(-i-1)q^{3}-2 i q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '380.2.k', 'trace_display': [-2, -2, -4, -4], 'trace_hash': 2044417823612894094, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.045', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.911', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.304', 'prec': 17}, {'__RealLiteral__': 0, 'data': '10.771', 'prec': 20}, {'__RealLiteral__': 0, 'data': '2.852', 'prec': 17}, {'__RealLiteral__': 0, 'data': '84.747', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.270', 'prec': 17}, 'traces': [2, -2, -2, 0, -4, 4, -4, 4, 0, 6, 0, -4, 0, 0, 2, -8, 10, 2, -2, -4, 8, 0, 8, 0, 6, 0, -8, 8, 0, -8, 0, 8, 0, -20, 12, -4, 0, 2, 0, -4, 4, -8, -12, 0, -2, -16, -4, 8, 0, -14, 0, 0, -20, 0, 0, -16, 2, -12, 20, 12, 4, 0, 4, 0, 0, 0, 6, 20, 0, -8, 0, 4, 10, 0, 2, 0, 0, 0, -20, 16, 10, -4, 8, 0, -10, 24, 12, 0, 0, -2, 0, 16, 0, 0, 4, -16, -20, 2, 0, 16, 24, 20, 18, 0, -16, 0, -14, 16, 0, 0, 0, 16, -20, -4, -8, 24, 0, -20, -40, -8, 22, -4, -4, 0, -4, -8, -14, -16, 0, 0, 0, 0, 4, 0, 24, 0, 10, 16, -40, -8, 8, 0, 0, 0, 12, 0, -2, 0, 0, 12, 0, -4, 10, 0, 0, 0, -30, 20, 40, -24, -32, -10, 28, 0, 0, -16, -14, 16, 0, 40, 0, -24, -20, 0, -28, 0, -20, -12, 20, 8, 4, 0, -4, 0, 0, 0, 0, 8, 0, -6, 0, 16, -20, 40, 0, -4, -30, 0, 0, -4, -12, -24, -24, -40, -8, -36, 8, 0, 0, 24, 0, 40, 0, 0, 12, -32, 0, -12, -20, 0, 0, 0, 18, 0, 8, 0, 26, 4, 0, 32, 0, -24, 10, 0, 12, 0, 20, 40, 40, -8, 4, -22, 14, 0, -2, 8, 0, 0, 0, 26, 0, 8, 0, 0, -20, 32, -40, -24, 0, 0, 12, 40, -32, 0, 60, 0, 12, -12, 0, -16, 0, -40, 0, -20, 0, -32, 10, 40, 0, 32, -36, -8, 8, 0, -2, 0, -8, -8, 0, 12, 0, -20, 20, 0, -40, 0, 0, 8, 0, -28, 48, -20, -24, 8, -8, 0, 26, 0, 0, 0, 0, 0, 10, 60, -4, 0, 40, -40, 0, 16, 28, 32, -10, 0, 0, -56, 12, 8, 0, 0, 0, 16, 0, 0, -18, -32, 20, -26, 40, -60, 0, -2, -24, 0, -16, 0, 16, -24, 0, 32, 0, 0, 30, 40, 0, 24, 40, -20, 40, -12, 2, -4, -22, 0, -30, 8, 36, -32, 0, 0, 0, 0, -20, 0, -18, -16, 0, 32, -40, 4, 28, -40, -42, 0, 0, 0, -12, -40, 0, 0, 0, 4, -40, 60, 40, 0, -30, 0, -8, -24, -36, 12, 0, 0, -20, 48, 0, 40, 0, 12, 0, 36, -40, 0, -8, 0, 40, 0, 0, -16, 4, -20, 4, -80, -10, 0, -8, 28, 0, -48, 0, 32, 20, 0, -36, 24, -8, 20, 20, 0, -2, 0, 48, 0, 12, -36, -8, -32, 0, -2, 0, 40, 20, 0, 0, 0, 30, -12, -80, -48, 4, 0, 8, 0, 0, 0, -24, 0, 0, -8, 0, 40, 0, -40, -6, 0, 20, -40, 0, 32, 0, -4, 32, 0, 20, -28, 6, 8, 0, -2, 0, -8, -60, 0, 0, 0, 0, 16, 0, -44, 28, 0, 48, 0, -48, 0, 26, 28, 0, -20, 0, -32, 8, 80, -18, 48, 0, 0, 40, 0, 44, -12, -42, -80, 24, 64, 0, 0, 0, -40, 0, -8, 0, 0, 42, 24, -20, -52, 0, -16, -16, 40, -4, 80, 12, 0, 46, 20, 0, 0, 0, 32, 40, -20, 0, 0, -10, 0, 0, -48, 0, 36, -2, 0, 60, -16, -20, 0, 0, 8, 0, 0, 40, 0, -8, 16, -30, -66, 40, -48, -32, -40, 0, 40, 0, 0, -64, 4, 0, 60, 0, 0, 10, 0, 80, -16, 0, 0, 20, 32, 4, -48, -6, 40, -44, 48, -34, -8, 0, 12, 0, -20, 50, 0, 4, 0, 30, 36, 40, 0, -64, -40, -24, 0, -14, 0, 0, -60, 0, 16, 0, -40, 20, -80, 42, 0, 0, 0, 0, 16, -36, -28, 8, 0, 24, 20, -24, 20, 0, 0, 0, 56, -50, 0, -40, -16, -10, 16, -60, 0, 4, 20, 0, 0, -12, 0, -48, 28, 0, 12, 0, 32, -40, -40, -56, 52, -20, -40, 80, 40, -52, 0, -22, 4, -10, 48, 12, 48, 0, -16, 0, 40, 0, 0, 80, 48, 20, -32, -20, -8, 4, 0, 0, 0, -16, 0, -48, -40, 0, 0, 0, -24, 0, -80, 0, 0, -40, -40, -80, 8, -72, -2, -4, 0, -48, 44, 36, 0, 0, 20, 0, -8, 70, 0, 6, 64, 0, 4, 40, 0, 0, 80, -62, 0, -8, 0, 8, 0, 0, -8, 0, 16, 0, 0, 20, -64, -50, 40, 0, 4, -96, -28, -24, 80, -30, 84, 0, -32, 0, 0, 0, 40, 40, 0, 0, 0, 0, -12, -4, 0, 0, -80, -48, 0, 30, 0, 46, -60, 0, -60, 0, 0, 0, 60, -80, 0, 20, 8, -40, 56, 12, 36, 0, 0, 64, 0, 52, 48, 0, 30, 0, -48, -40, 0, -28, 0, 12, 68, 0, -8, -16, 20, 28, 0, 0, 0, -54, -16, 0, 32, 0, 0, 10, -80, 42, 0, 0, 0, 60, -16, -14, -4, 36, 40, 26, -8, -44, 80, 0, -60, 0, 0, -10, 0, 2, -56, 40, 0, 0, 72, 16, 20, 38, 0, 60, 0, 66, 0, 0, 24, 0, -24, -20, 16, 52, 0, -60, -20, -40, 0, 44, 2, 68, 0, 20, -96, 46, 0, 0, 12, 0, 36, 4, 0, -40, 64, 0, 28, 0, -12, -200, 0, -48, -80, -8, 0, -34, -52, 0, 0, 0, -8, 0, -60, 4, 24, 80, 80, 40, 32, -52, -4, 0, 0, 0, -16, 18, 48, 0, 0, 0, -20, 40, 0, 0, 0, -50, -24, -20, -8, 84, -60, 16, -80, -32, 0, -64, 40, 0, 14, 0, -80, 80, -40, 40, 0, 0, 0, -40, -48, 62, 0, 14, 0, 60, -64, -24, 44, 0, -80, 0, 28, 80, 0, 0, -16, 40, 56, 0, 8, 12, 0, 58, 0, 30, 0, -16, 0, 0, 0, 0, 0, -20, 0, 0, -32, 30, 0, 0, 36], '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], [-1, 1], [-1, -1], [0, -2], [-2, -1], [2, 0], [-2, 2], [2, 2], [0, -1], [3, -1], [0, 0], [-2, 2], [0, 0], [0, -4], [1, 3], [-4, 0], [5, 5], [1, 1], [-1, 0], [-2, 4], [4, 0], [0, 0], [4, 4], [0, -4], [3, 4], [0, 0], [-4, 4], [4, 4], [0, 6], [-4, -2], [0, 0], [4, -4], [0, 0], [-10, 0], [6, -2], [-2, 0], [0, 0], [1, -1], [0, 0], [-2, -6], [2, 0], [-4, 4], [-6, -6], [0, 0], [-1, 2], [-8, 0], [-2, 2], [4, 4], [0, -1], [-7, -1], [0, -10], [0, 0], [-10, 10], [0, -8], [0, 0], [-8, 0], [1, 1], [-6, -6], [10, 0], [6, -2], [2, 0], [0, 0], [2, 2], [0, 8], [0, 0], [0, 0], [3, -3], [10, -10], [0, -8], [-4, 8], [0, 0], [2, -2], [5, -5], [0, 0], [1, -7], [0, 2], [0, 0], [0, 0], [-10, 0], [8, 4], [5, 0], [-2, 2], [4, 4], [0, -8], [-5, -15], [12, 0], [6, -6], [0, 0], [0, 6], [-1, -3], [0, 0], [8, -8], [0, 0], [0, -4], [2, 1], [-8, 0], [-10, -10], [1, 1], [0, 0], [8, -6]], 'ap': [[-1, 1], [-1, -1], [-2, -1], [-2, 2], [0, 0], [0, 0], [5, 5], [-1, 0], [4, 4], [0, 6], [0, 0], [0, 0], [2, 0], [-6, -6], [-2, 2], [-10, 10], [10, 0], [2, 0], [3, -3], [0, 0], [5, -5], [-10, 0], [4, 4], [0, 6], [-10, -10], [12, 0], [9, 9], [-7, 7], [0, 6], [-10, 10], [-7, 7], [0, -20], [5, 5], [-20, 0], [0, -4], [0, 10], [-15, -15], [14, 14], [-7, 7], [-10, 10], [10, 0], [2, 0], [0, 20], [-10, 10], [-15, -15], [0, 0], [0, 10], [9, 9], [13, -13], [0, 6], [5, -5], [20, 0], [2, 0], [0, 0], [-20, -20], [-16, -16], [0, 26], [0, -20], [5, 5], [-18, 0], [4, 4], [10, -10], [13, -13], [0, 20], [5, -5], [20, 20], [0, -10], [10, 10], [8, -8], [0, 16], [15, -15], [20, 0], [18, -18], [-10, 10], [-20, 0], [-21, -21], [0, 6], [-15, -15], [-18, 0], [0, -34], [0, 0], [2, 0], [0, -10], [10, -10], [10, 0], [24, 24], [0, -14], [15, 15], [2, 0], [4, 4], [-12, 12], [0, 0], [3, -3], [0, 0], [0, 0], [24, 24], [0, 6], [22, 0], [-21, -21], [-8, 0], [23, -23], [-5, -5], [-1, -1], [0, -34], [0, -20], [-15, -15], [-32, 32], [5, -5], [10, 0], [2, 0], [-17, 17], [25, -25], [15, 15], [20, 0], [0, -40], [-18, 0], [4, 4], [-12, 12], [-25, 25], [-30, 0], [2, 0], [-20, 20], [-10, -10], [-11, -11], [0, 20], [2, 0], [0, 16], [-40, 0], [18, -18], [35, -35], [20, 0], [-31, -31], [0, -30], [-25, -25], [-48, 0], [0, -34], [20, -20], [23, -23], [10, 10], [0, 16], [0, 20], [-8, 0], [14, 14], [-27, 27], [0, -14], [30, 0], [-5, 5], [20, 20], [0, 0], [19, 19], [-30, -30], [22, 0], [34, 34], [23, -23], [-17, 17], [0, 10], [20, 0], [0, -14], [-25, -25], [42, 0], [-32, 32], [40, -40], [-12, 12], [0, 60], [20, 20], [29, 29], [0, -10], [15, 15]], 'char_orbit_index': 11, 'field_poly': [1, 0, 1], 'hecke_orbit_code': 687228322172, 'hecke_ring_character_values': [[191, [-1, 0]], [77, [0, 1]], [21, [1, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '380.2.k.a', 'level': 380, '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': 1520, 'analytic_conductor': 3.0343152768086545, 'char_conductor': 20, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 11, 'char_orbit_label': 'k', 'char_order': 4, 'char_parity': 1, 'char_values': [380, 4, [191, 77, 21], [2, 1, 4]], 'conrey_index': 267, 'cusp_dim': 112, 'dim': 108, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 687228322172, 'hecke_orbit_dims': [2, 2, 52, 52], 'label': '380.2.k', 'level': 380, '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, 5, 19], 'level_radical': 190, 'mf_dim': 128, 'mf_new_dim': 108, 'num_forms': 4, 'prim_orbit_index': 5, 'relative_dim': 54, 'sturm_bound': 120, 'trace_bound': 2, 'trace_display': [0, 0, 0, 0], 'traces': [108, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, -16, -4, 0, 0, 16, -20, 0, 0, 0, -16, -16, 0, 0, -20, 0, 0, -32, 0, -24, 0, -40, 16, 0, 0, -16, 20, 0, 0, 24, 0, 0, 0, 0, 20, -48, 0, -20, 0, 4, 0, 20, -44, 0, 0, -8, 0, -32, 0, -20, 0, 24, 0, 0, 20, 72, 0, 8, 0, 76, 0, 100, 36, 0, 0, 0, 24, 24, 0, -96, -28, -24, 0, 0, 4, 32, 0, -20, 0, -16, 0, -40, 48, 0, 0, -40, -60, -64, 0, 48, -24, -64, 0, 0, -80, -40, 0, 140, 0, 76, 0, -8, -4, 0, 0, 8, -20, -88, 0, 48, -76, 136, 0, 0, -24, -136, 0, 0, 0, -80, 0, 44, 0, 0, 0, -80, 20, 136, 0, -24, -80, -88, 0, 0, 80, -120, 0, 56, 0, 72, 0, 0, 52, 0, 0, -48, 84, 40, 0, -36, -80, 16, 0, 0, 128, 112, 0, -144, 0, -60, 0, 0, 4, 0, 0, 136, -64, 56, 0, 200, -8, 160, 0, 0, -124, 184, 0, 40, 0, -32, 0, -20, -116, 0, 0, -16, 12, -56, 0, 16, -112, 136, 0, 0, -112, -56, 0, -56, 0, -8, 0, 104, 48, 0, 0, -24, 16, 144, 0, 80, 8, 0, 0, 0, 80, 16, 0, -52, 0, -112, 0, 16, -52, 0, 0, 144, -128, 40, 0, 88, -32, -56, 0, 0, -60, -24, 0, -16, 0, 92, 0, -208, -48, 0, 0, -128, 28, 104, 0, -256, 144, -144, 0, 0, 28, 0, 0, -36, 0, 248, 0, 88, 16, 0, 0, 152, -164, 24, 0, -40, 0, -64, 0, 0, 0, 88, 0, 224, 0, -184, 0, 136, 44, 0, 0, 272, 128, -272, 0, -264, 176, -96, 0, 0, 16, 112, 0, 264, 0, -88, 0, -284, -76, 0, 0, 160, -36, -80, 0, 136, 208, -72, 0, 0, -108, 248, 0, -184, 0, 72, 0, 120, -116, 0, 0, -88, 180, -272, 0, -120, 96, 0, 0, 0, 224, -64, 0, -152, 0, -52, 0, -104, -20, 0, 0, -168, 0, 224, 0, 28, 108, -184, 0, 0, -12, -344, 0, 56, 0, -168, 0, -264, 68, 0, 0, -104, 176, -224, 0, 32, -144, 120, 0, 0, -16, 200, 0, 72, 0, -112, 0, -232, 256, 0, 0, 32, 164, 112, 0, 48, -8, -304, 0, 0, 144, 192, 0, -248, 0, 48, 0, -28, -64, 0, 0, -128, -160, 56, 0, 48, 32, 8, 0, 0, -124, -216, 0, -60, 0, -124, 0, 308, -124, 0, 0, -152, 24, 56, 0, -268, -20, 224, 0, 0, -16, 160, 0, -200, 0, 468, 0, 228, -144, 0, 0, 0, -132, 128, 0, -328, 8, -32, 0, 0, 144, -352, 0, -136, 0, -36, 0, 56, -120, 0, 0, -224, 196, -280, 0, 352, -8, -40, 0, 0, 356, -416, 0, 300, 0, 364, 0, 56, 272, 0, 0, 56, 240, -376, 0, 272, -144, 248, 0, 0, -32, -296, 0, -8, 0, -448, 0, 36, 0, 0, 0, -328, 8, 368, 0, -88, -88, -8, 0, 0, -320, 40, 0, 476, 0, 96, 0, 0, -240, 0, 0, 24, -64, 256, 0, 76, 8, 152, 0, 0, -248, 88, 0, -312, 0, -52, 0, 48, -128, 0, 0, 96, -140, -104, 0, 280, 160, 368, 0, 0, 20, 264, 0, 296, 0, -88, 0, 52, 304, 0, 0, -112, -292, 112, 0, 40, 48, 376, 0, 0, 12, 88, 0, -88, 0, -56, 0, 140, 76, 0, 0, 48, -80, 216, 0, 304, -32, -40, 0, 0, -8, 104, 0, -60, 0, -156, 0, 144, 188, 0, 0, 368, -148, 192, 0, 160, 128, -224, 0, 0, 212, -56, 0, -72, 0, 524, 0, -440, 304, 0, 0, 32, 212, 152, 0, -424, -320, -376, 0, 0, -112, 0, 0, -52, 0, 368, 0, 112, -76, 0, 0, 16, 228, 160, 0, -12, -128, 24, 0, 0, 0, 160, 0, 368, 0, -368, 0, 272, 52, 0, 0, 432, -204, -568, 0, -512, -240, -64, 0, 0, 4, -56, 0, 416, 0, -136, 0, -140, 136, 0, 0, 568, 144, 128, 0, 496, -416, 0, 0, 0, -272, 296, 0, -560, 0, 128, 0, 96, 384, 0, 0, -56, -432, -496, 0, -336, 80, 0, 0, 0, -160, 320, 0, -272, 0, 76, 0, -316, -132, 0, 0, -224, -80, 512, 0, 164, -128, -64, 0, 0, 184, -536, 0, 144, 0, -448, 0, -320, -352, 0, 0, -520, -228, -296, 0, 104, 424, 208, 0, 0, 188, -152, 0, -32, 0, -92, 0, -480, -468, 0, 0, -128, -400, 16, 0, -168, 160, -456, 0, 0, -276, 384, 0, -248, 0, -352, 0, 268, -64, 0, 0, -160, 236, 136, 0, 184, -240, -232, 0, 0, -56, -136, 0, -220, 0, -424, 0, 160, 208, 0, 0, 16, -32, 8, 0, -448, 160, 440, 0, 0, 48, -208, 0, -384, 0, 616, 0, 416, 4, 0, 0, 16, 544, 16, 0, -624, 60, -104, 0, 0, -116, -56, 0, -204, 0, 196, 0, -80, 148, 0, 0, 104, -108, -736, 0, 616, -416, -192, 0, 0, -308, -192, 0, 608, 0, 760, 0, 328, -276, 0, 0, 152, -308, -592, 0, 248, 272, 488, 0, 0, -96, -416, 0, 196, 0, -360, 0, -8, 0, 0, 0, -560, 16, 488, 0, -264, -104, -72, 0, 0, 192, 224, 0, 620, 0, 544, 0, -32, 208, 0, 0, -240, 152, 296, 0, 152, 304, 8, 0, 0, 508, 248, 0, -384, 0, -104, 0, 408, 176, 0, 0, 464, -276, -272, 0, 264, 216, 432, 0, 0, -160, 576, 0, 416, 0, -60, 0, -208, -196, 0, 0, 48, 512, 120, 0, 96, -268, 408, 0, 0, 164, 0, 0, -112, 0, 0, 0, 536, -232, 0, 0, -152, -284, 480, 0, 256, 648, -304, 0, 0, -12, 368, 0, -128, 0, -108, 0, 120, 112, 0, 0, 528, 236, 104, 0, 296], '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: 284285
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 11, 'source_dim': 2, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '380.2.k.a', 'source_level': 380, 'target_char_orbit': 11, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '380.2.k.a', 'target_level': 380, 'twist_class_label': '380.2.k.a', 'twist_class_level': 380, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 284286
    {'conductor': 20, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 11, 'source_dim': 2, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '380.2.k.a', 'source_level': 380, 'target_char_orbit': 11, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '380.2.k.a', 'target_level': 380, 'twist_class_label': '380.2.k.a', 'twist_class_level': 380, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 284287
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 11, 'source_dim': 2, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '380.2.k.a', 'source_level': 380, 'target_char_orbit': 11, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '380.2.k.b', 'target_level': 380, 'twist_class_label': '380.2.k.a', 'twist_class_level': 380, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 284288
    {'conductor': 5, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 11, 'source_dim': 2, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '380.2.k.a', 'source_level': 380, 'target_char_orbit': 11, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '380.2.k.b', 'target_level': 380, 'twist_class_label': '380.2.k.a', 'twist_class_level': 380, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 802650
    {'charpoly_factorization': [[[2, 2, 1], 1]], 'hecke_orbit_code': 687228322172, 'p': 2}
  • id: 802651
    {'charpoly_factorization': [[[2, 2, 1], 1]], 'hecke_orbit_code': 687228322172, 'p': 3}
  • id: 802652
    {'charpoly_factorization': [[[5, 4, 1], 1]], 'hecke_orbit_code': 687228322172, 'p': 5}
  • id: 802653
    {'charpoly_factorization': [[[8, 4, 1], 1]], 'hecke_orbit_code': 687228322172, 'p': 7}
  • id: 802654
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 687228322172, 'p': 11}
  • id: 802655
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 687228322172, 'p': 13}
  • id: 802656
    {'charpoly_factorization': [[[50, -10, 1], 1]], 'hecke_orbit_code': 687228322172, 'p': 17}
  • id: 802657
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 687228322172, 'p': 19}
  • id: 802658
    {'charpoly_factorization': [[[32, -8, 1], 1]], 'hecke_orbit_code': 687228322172, 'p': 23}
  • id: 802659
    {'charpoly_factorization': [[[36, 0, 1], 1]], 'hecke_orbit_code': 687228322172, 'p': 29}
  • id: 802660
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 687228322172, 'p': 31}
  • id: 802661
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 687228322172, 'p': 37}
  • id: 802662
    {'charpoly_factorization': [[[-2, 1], 2]], 'hecke_orbit_code': 687228322172, 'p': 41}
  • id: 802663
    {'charpoly_factorization': [[[72, 12, 1], 1]], 'hecke_orbit_code': 687228322172, 'p': 43}
  • id: 802664
    {'charpoly_factorization': [[[8, 4, 1], 1]], 'hecke_orbit_code': 687228322172, 'p': 47}
  • id: 802665
    {'charpoly_factorization': [[[200, 20, 1], 1]], 'hecke_orbit_code': 687228322172, 'p': 53}
  • id: 802666
    {'charpoly_factorization': [[[-10, 1], 2]], 'hecke_orbit_code': 687228322172, 'p': 59}
  • id: 802667
    {'charpoly_factorization': [[[-2, 1], 2]], 'hecke_orbit_code': 687228322172, 'p': 61}
  • id: 802668
    {'charpoly_factorization': [[[18, -6, 1], 1]], 'hecke_orbit_code': 687228322172, 'p': 67}
  • id: 802669
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 687228322172, 'p': 71}
  • id: 802670
    {'charpoly_factorization': [[[50, -10, 1], 1]], 'hecke_orbit_code': 687228322172, 'p': 73}
  • id: 802671
    {'charpoly_factorization': [[[10, 1], 2]], 'hecke_orbit_code': 687228322172, 'p': 79}
  • id: 802672
    {'charpoly_factorization': [[[32, -8, 1], 1]], 'hecke_orbit_code': 687228322172, 'p': 83}
  • id: 802673
    {'charpoly_factorization': [[[36, 0, 1], 1]], 'hecke_orbit_code': 687228322172, 'p': 89}
  • id: 802674
    {'charpoly_factorization': [[[200, 20, 1], 1]], 'hecke_orbit_code': 687228322172, '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': 11, 'hecke_orbit': 1, 'label': '380.2.k.a', 'level': 380, '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: 10542720
    {'hecke_orbit_code': 687228322172, 'n': 1, 'trace_an': 2}
  • id: 10542721
    {'hecke_orbit_code': 687228322172, 'n': 2, 'trace_an': -2}
  • id: 10542722
    {'hecke_orbit_code': 687228322172, 'n': 3, 'trace_an': -2}
  • id: 10542723
    {'hecke_orbit_code': 687228322172, 'n': 4, 'trace_an': 0}
  • id: 10542724
    {'hecke_orbit_code': 687228322172, 'n': 5, 'trace_an': -4}
  • id: 10542725
    {'hecke_orbit_code': 687228322172, 'n': 6, 'trace_an': 4}
  • id: 10542726
    {'hecke_orbit_code': 687228322172, 'n': 7, 'trace_an': -4}
  • id: 10542727
    {'hecke_orbit_code': 687228322172, 'n': 8, 'trace_an': 4}
  • id: 10542728
    {'hecke_orbit_code': 687228322172, 'n': 9, 'trace_an': 0}
  • id: 10542729
    {'hecke_orbit_code': 687228322172, 'n': 10, 'trace_an': 6}
  • id: 10542730
    {'hecke_orbit_code': 687228322172, 'n': 11, 'trace_an': 0}
  • id: 10542731
    {'hecke_orbit_code': 687228322172, 'n': 12, 'trace_an': -4}
  • id: 10542732
    {'hecke_orbit_code': 687228322172, 'n': 13, 'trace_an': 0}
  • id: 10542733
    {'hecke_orbit_code': 687228322172, 'n': 14, 'trace_an': 0}
  • id: 10542734
    {'hecke_orbit_code': 687228322172, 'n': 15, 'trace_an': 2}
  • id: 10542735
    {'hecke_orbit_code': 687228322172, 'n': 16, 'trace_an': -8}
  • id: 10542736
    {'hecke_orbit_code': 687228322172, 'n': 17, 'trace_an': 10}
  • id: 10542737
    {'hecke_orbit_code': 687228322172, 'n': 18, 'trace_an': 2}
  • id: 10542738
    {'hecke_orbit_code': 687228322172, 'n': 19, 'trace_an': -2}
  • id: 10542739
    {'hecke_orbit_code': 687228322172, 'n': 20, 'trace_an': -4}
  • id: 10542740
    {'hecke_orbit_code': 687228322172, 'n': 21, 'trace_an': 8}
  • id: 10542741
    {'hecke_orbit_code': 687228322172, 'n': 22, 'trace_an': 0}
  • id: 10542742
    {'hecke_orbit_code': 687228322172, 'n': 23, 'trace_an': 8}
  • id: 10542743
    {'hecke_orbit_code': 687228322172, 'n': 24, 'trace_an': 0}
  • id: 10542744
    {'hecke_orbit_code': 687228322172, 'n': 25, 'trace_an': 6}
  • id: 10542745
    {'hecke_orbit_code': 687228322172, 'n': 26, 'trace_an': 0}
  • id: 10542746
    {'hecke_orbit_code': 687228322172, 'n': 27, 'trace_an': -8}
  • id: 10542747
    {'hecke_orbit_code': 687228322172, 'n': 28, 'trace_an': 8}
  • id: 10542748
    {'hecke_orbit_code': 687228322172, 'n': 29, 'trace_an': 0}
  • id: 10542749
    {'hecke_orbit_code': 687228322172, 'n': 30, 'trace_an': -8}
  • id: 10542750
    {'hecke_orbit_code': 687228322172, 'n': 31, 'trace_an': 0}
  • id: 10542751
    {'hecke_orbit_code': 687228322172, 'n': 32, 'trace_an': 8}
  • id: 10542752
    {'hecke_orbit_code': 687228322172, 'n': 33, 'trace_an': 0}
  • id: 10542753
    {'hecke_orbit_code': 687228322172, 'n': 34, 'trace_an': -20}
  • id: 10542754
    {'hecke_orbit_code': 687228322172, 'n': 35, 'trace_an': 12}
  • id: 10542755
    {'hecke_orbit_code': 687228322172, 'n': 36, 'trace_an': -4}
  • id: 10542756
    {'hecke_orbit_code': 687228322172, 'n': 37, 'trace_an': 0}
  • id: 10542757
    {'hecke_orbit_code': 687228322172, 'n': 38, 'trace_an': 2}
  • id: 10542758
    {'hecke_orbit_code': 687228322172, 'n': 39, 'trace_an': 0}
  • id: 10542759
    {'hecke_orbit_code': 687228322172, 'n': 40, 'trace_an': -4}
  • id: 10542760
    {'hecke_orbit_code': 687228322172, 'n': 41, 'trace_an': 4}
  • id: 10542761
    {'hecke_orbit_code': 687228322172, 'n': 42, 'trace_an': -8}
  • id: 10542762
    {'hecke_orbit_code': 687228322172, 'n': 43, 'trace_an': -12}
  • id: 10542763
    {'hecke_orbit_code': 687228322172, 'n': 44, 'trace_an': 0}
  • id: 10542764
    {'hecke_orbit_code': 687228322172, 'n': 45, 'trace_an': -2}
  • id: 10542765
    {'hecke_orbit_code': 687228322172, 'n': 46, 'trace_an': -16}
  • id: 10542766
    {'hecke_orbit_code': 687228322172, 'n': 47, 'trace_an': -4}
  • id: 10542767
    {'hecke_orbit_code': 687228322172, 'n': 48, 'trace_an': 8}
  • id: 10542768
    {'hecke_orbit_code': 687228322172, 'n': 49, 'trace_an': 0}
  • id: 10542769
    {'hecke_orbit_code': 687228322172, 'n': 50, 'trace_an': -14}
  • id: 10542770
    {'hecke_orbit_code': 687228322172, 'n': 51, 'trace_an': 0}
  • id: 10542771
    {'hecke_orbit_code': 687228322172, 'n': 52, 'trace_an': 0}
  • id: 10542772
    {'hecke_orbit_code': 687228322172, 'n': 53, 'trace_an': -20}
  • id: 10542773
    {'hecke_orbit_code': 687228322172, 'n': 54, 'trace_an': 0}
  • id: 10542774
    {'hecke_orbit_code': 687228322172, 'n': 55, 'trace_an': 0}
  • id: 10542775
    {'hecke_orbit_code': 687228322172, 'n': 56, 'trace_an': -16}
  • id: 10542776
    {'hecke_orbit_code': 687228322172, 'n': 57, 'trace_an': 2}
  • id: 10542777
    {'hecke_orbit_code': 687228322172, 'n': 58, 'trace_an': -12}
  • id: 10542778
    {'hecke_orbit_code': 687228322172, 'n': 59, 'trace_an': 20}
  • id: 10542779
    {'hecke_orbit_code': 687228322172, 'n': 60, 'trace_an': 12}
  • id: 10542780
    {'hecke_orbit_code': 687228322172, 'n': 61, 'trace_an': 4}
  • id: 10542781
    {'hecke_orbit_code': 687228322172, 'n': 62, 'trace_an': 0}
  • id: 10542782
    {'hecke_orbit_code': 687228322172, 'n': 63, 'trace_an': 4}
  • id: 10542783
    {'hecke_orbit_code': 687228322172, 'n': 64, 'trace_an': 0}
  • id: 10542784
    {'hecke_orbit_code': 687228322172, 'n': 65, 'trace_an': 0}
  • id: 10542785
    {'hecke_orbit_code': 687228322172, 'n': 66, 'trace_an': 0}
  • id: 10542786
    {'hecke_orbit_code': 687228322172, 'n': 67, 'trace_an': 6}
  • id: 10542787
    {'hecke_orbit_code': 687228322172, 'n': 68, 'trace_an': 20}
  • id: 10542788
    {'hecke_orbit_code': 687228322172, 'n': 69, 'trace_an': 0}
  • id: 10542789
    {'hecke_orbit_code': 687228322172, 'n': 70, 'trace_an': -8}
  • id: 10542790
    {'hecke_orbit_code': 687228322172, 'n': 71, 'trace_an': 0}
  • id: 10542791
    {'hecke_orbit_code': 687228322172, 'n': 72, 'trace_an': 4}
  • id: 10542792
    {'hecke_orbit_code': 687228322172, 'n': 73, 'trace_an': 10}
  • id: 10542793
    {'hecke_orbit_code': 687228322172, 'n': 74, 'trace_an': 0}
  • id: 10542794
    {'hecke_orbit_code': 687228322172, 'n': 75, 'trace_an': 2}
  • id: 10542795
    {'hecke_orbit_code': 687228322172, 'n': 76, 'trace_an': 0}
  • id: 10542796
    {'hecke_orbit_code': 687228322172, 'n': 77, 'trace_an': 0}
  • id: 10542797
    {'hecke_orbit_code': 687228322172, 'n': 78, 'trace_an': 0}
  • id: 10542798
    {'hecke_orbit_code': 687228322172, 'n': 79, 'trace_an': -20}
  • id: 10542799
    {'hecke_orbit_code': 687228322172, 'n': 80, 'trace_an': 16}
  • id: 10542800
    {'hecke_orbit_code': 687228322172, 'n': 81, 'trace_an': 10}
  • id: 10542801
    {'hecke_orbit_code': 687228322172, 'n': 82, 'trace_an': -4}
  • id: 10542802
    {'hecke_orbit_code': 687228322172, 'n': 83, 'trace_an': 8}
  • id: 10542803
    {'hecke_orbit_code': 687228322172, 'n': 84, 'trace_an': 0}
  • id: 10542804
    {'hecke_orbit_code': 687228322172, 'n': 85, 'trace_an': -10}
  • id: 10542805
    {'hecke_orbit_code': 687228322172, 'n': 86, 'trace_an': 24}
  • id: 10542806
    {'hecke_orbit_code': 687228322172, 'n': 87, 'trace_an': 12}
  • id: 10542807
    {'hecke_orbit_code': 687228322172, 'n': 88, 'trace_an': 0}
  • id: 10542808
    {'hecke_orbit_code': 687228322172, 'n': 89, 'trace_an': 0}
  • id: 10542809
    {'hecke_orbit_code': 687228322172, 'n': 90, 'trace_an': -2}
  • id: 10542810
    {'hecke_orbit_code': 687228322172, 'n': 91, 'trace_an': 0}
  • id: 10542811
    {'hecke_orbit_code': 687228322172, 'n': 92, 'trace_an': 16}
  • id: 10542812
    {'hecke_orbit_code': 687228322172, 'n': 93, 'trace_an': 0}
  • id: 10542813
    {'hecke_orbit_code': 687228322172, 'n': 94, 'trace_an': 0}
  • id: 10542814
    {'hecke_orbit_code': 687228322172, 'n': 95, 'trace_an': 4}
  • id: 10542815
    {'hecke_orbit_code': 687228322172, 'n': 96, 'trace_an': -16}
  • id: 10542816
    {'hecke_orbit_code': 687228322172, 'n': 97, 'trace_an': -20}
  • id: 10542817
    {'hecke_orbit_code': 687228322172, 'n': 98, 'trace_an': 2}
  • id: 10542818
    {'hecke_orbit_code': 687228322172, 'n': 99, 'trace_an': 0}
  • id: 10542819
    {'hecke_orbit_code': 687228322172, 'n': 100, 'trace_an': 16}