Newform data - 7360.2.a.l

Formats: - HTML - YAML - JSON - 2026-08-12T11:51:23.234737

• 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': 29440, 'analytic_conductor': 58.769895887662365, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [5, 1], [23, -1]], 'atkin_lehner_string': '++-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [7360, 1, [1151, 5061, 4417, 6721], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [0, 1]], [7, [-1, 1]], [11, [-6, 1]], [13, [-2, 1]], [17, [3, 1]]], 'hecke_orbit': 12, 'hecke_orbit_code': 49539595934637248, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '7360.2.a.l', 'level': 7360, '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, 23], 'level_radical': 230, 'minimal_twist': '920.2.a.c', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{5}+q^{7}-3q^{9}+6q^{11}+2q^{13}+\\cdots', 'related_objects': ['EllipticCurve/Q/7360/l'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '7360.2.a', 'trace_display': [0, 0, -1, 1], 'trace_hash': 2070301728295189036, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '0.996', 'prec': 10}, 0, {'__RealLiteral__': 0, 'data': '2.018', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.018', 'prec': 7}, {'__RealLiteral__': 0, 'data': '5.082', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.010', 'prec': 7}, 'traces': [1, 0, 0, 0, -1, 0, 1, 0, -3, 0, 6, 0, 2, 0, 0, 0, -3, 0, 6, 0, 0, 0, 1, 0, 1, 0, 0, 0, -3, 0, -3, 0, 0, 0, -1, 0, -1, 0, 0, 0, 9, 0, 8, 0, 3, 0, 4, 0, -6, 0, 0, 0, -1, 0, -6, 0, 0, 0, -1, 0, -8, 0, -3, 0, -2, 0, 7, 0, 0, 0, -5, 0, -6, 0, 0, 0, 6, 0, 0, 0, 9, 0, 11, 0, 3, 0, 0, 0, 4, 0, 2, 0, 0, 0, -6, 0, 6, 0, -18, 0, 9, 0, -16, 0, 0, 0, -5, 0, 6, 0, 0, 0, -7, 0, -1, 0, -6, 0, -3, 0, 25, 0, 0, 0, -1, 0, 8, 0, 0, 0, -12, 0, 6, 0, 0, 0, 10, 0, -7, 0, 0, 0, 12, 0, 3, 0, 0, 0, -20, 0, 4, 0, 9, 0, 3, 0, -3, 0, 0, 0, 1, 0, 14, 0, 0, 0, -8, 0, -9, 0, -18, 0, 16, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, -18, 0, 0, 0, 8, 0, -4, 0, 0, 0, 18, 0, -22, 0, 0, 0, -3, 0, -9, 0, -3, 0, 36, 0, 19, 0, 0, 0, -8, 0, -3, 0, 0, 0, -6, 0, 26, 0, -3, 0, 4, 0, -4, 0, 0, 0, 24, 0, -4, 0, 0, 0, 5, 0, 2, 0, 0, 0, 6, 0, 12, 0, 0, 0, 2, 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0, 0, 0, -5, 0, -12, 0, -27, 0, -24, 0, -44, 0, 0, 0, -50, 0, -59, 0, 0, 0, 6, 0, -7, 0, 24, 0, 60, 0, 10, 0, 0, 0, 36, 0, 38, 0, 0, 0, 12, 0, -54, 0, 0, 0, 18, 0, -64, 0, 0, 0, 5, 0, 30, 0, 0, 0, -46, 0, -9, 0, -63, 0, -6, 0, -42, 0, 0, 0, -1, 0, -64, 0, 0, 0, 12, 0, -20, 0, -3, 0, 50, 0, 16, 0, 0, 0, -18, 0, -18, 0, 0, 0, 9, 0, -7, 0, 0, 0, -5, 0, -28, 0, 0, 0, -21, 0, -73, 0, 0, 0, -63, 0, 22, 0, -6, 0, 30, 0, 36, 0, 0, 0, 49, 0, 6, 0, 0, 0, 38, 0, -64, 0, -24, 0, -10, 0, 61, 0, 0, 0, 72, 0, 94, 0, 0, 0, -26, 0, 6, 0, 0, 0, 72, 0, -28, 0, 0, 0, 8, 0, -3, 0, 0, 0, 51, 0, 38, 0, -24, 0, 63, 0, -35, 0, 0, 0, 18, 0, 18, 0, 0, 0, -12, 0, 12, 0, 66, 0, 0, 0, 27, 0, 0, 0, -42, 0, -4, 0, 0, 0, -85, 0, 32, 0, 0, 0, 25, 0, -31, 0, 0, 0, -75, 0, -9, 0, 0, 0, -16, 0, 17, 0, 24, 0, 82, 0, -76, 0, 0, 0, 18, 0, -52, 0, 0, 0, -18, 0, 11, 0, 87, 0, -36, 0, -6, 0, 0, 0, -7, 0, 120, 0, 0, 0, -120, 0, -4, 0, -9, 0, 66, 0, 24, 0, 0, 0, 12, 0, 42, 0, 0, 0, -6, 0, -20, 0, -24, 0, -16, 0, 87, 0, 0, 0, -18, 0, -35, 0, 0, 0, -32, 0, 24, 0, 54, 0, 27, 0, -1, 0, 0, 0, 24, 0, 56, 0, 0, 0, -12, 0, -64, 0, 0, 0, 6, 0, 18, 0, 0, 0, 45, 0, 52, 0, 0, 0, -76, 0, -11, 0, 54, 0, 50, 0, -45, 0, 0, 0, 6, 0, -2, 0, 0, 0, 8, 0, 0, 0, -6, 0, 18, 0, -27, 0, 0, 0, 14, 0, -18, 0, 0, 0, 12, 0, -48, 0, 0, 0, 18, 0, 34, 0, 0, 0, 8, 0, 16, 0, 0, 0, 88, 0, 186, 0, -12, 0, 60, 0, -28, 0, 0, 0, 11, 0, -92, 0, 0, 0, -3, 0, -8, 0, -21, 0, 114, 0, -18, 0, 0, 0, 48, 0, 48, 0, 0, 0, -54, 0, 24, 0, -9, 0, 31, 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], [-1], [0], [1], [0], [-3], [0], [6], [0], [2], [0], [0], [0], [-3], [0], [6], [0], [0], [0], [1], [0], [1], [0], [0], [0], [-3], [0], [-3], [0], [0], [0], [-1], [0], [-1], [0], [0], [0], [9], [0], [8], [0], [3], [0], [4], [0], [-6], [0], [0], [0], [-1], [0], [-6], [0], [0], [0], [-1], [0], [-8], [0], [-3], [0], [-2], [0], [7], [0], [0], [0], [-5], [0], [-6], [0], [0], [0], [6], [0], [0], [0], [9], [0], [11], [0], [3], [0], [0], [0], [4], [0], [2], [0], [0], [0], [-6], [0], [6], [0], [-18], [0]], 'ap': [[0], [0], [-1], [1], [6], [2], [-3], [6], [1], [-3], [-3], [-1], [9], [8], [4], [-1], [-1], [-8], [7], [-5], [-6], [0], [11], [4], [6], [9], [-16], [-5], [6], [-7], [8], [-12], [10], [-7], [-20], [4], [-3], [14], [-8], [16], [0], [0], [8], [-4], [18], [-22], [19], [26], [4], [-4], [24], [5], [2], [2], [20], [3], [31], [19], [-10], [30], [17], [21], [-22], [-8], [-29], [8], [7], [-34], [-24], [25], [-8], [36], [35], [38], [-20], [-21], [-26], [32], [18], [-35], [14], [34], [0], [17], [32], [36], [3], [-25], [-22], [22], [27], [-4], [-40], [-11], [13], [-17], [-18], [-10], [-12], [-38], [-8], [31], [-11], [-42], [16], [12], [18], [28], [-24], [-5], [-32], [22], [-21], [4], [-4], [-22], [-37], [42], [-6], [22], [42], [28], [-47], [-44], [-4], [24], [-8], [13], [-21], [-25], [19], [-24], [-14], [-15], [29], [44], [22], [-13], [33], [47], [-37], [-42], [24], [57], [-33], [30], [2], [14], [-1], [22], [-6], [0], [36], [-30], [7], [-20], [-32], [-29], [22], [24], [8], [54], [-56], [-40], [-33], [1], [-15], [32], [4], [-48], [-24], [7], [-46], [-39], [-16], [-16], [-4], [-23], [31], [-26], [62], [28], [-30], [-42], [51], [-50], [18], [-39], [1], [-33], [22], [54], [62], [-1], [48], [31], [-50], [38], [2], [-18], [-12], [12], [-22], [-50], [-12], [-2], [-16], [34], [-23], [-20], [-6], [50], [-48], [20], [-63], [-36], [14], [9], [19], [54], [-33], [-26], [-21], [-21], [-6], [-27], [18], [21], [-4], [-55], [62], [-46], [58], [-37], [-57], [-44], [-40], [-6], [-45], [3], [59], [-37], [14], [10], [-60], [76], [32], [-66], [-70], [-7], [-42], [18], [-53], [-10], [66], [-21], [20], [-8], [-26], [34], [-5], [17], [-31], [-31], [-60], [64], [24], [54], [1], [-44], [11], [-49], [-63], [-18], [60], [70], [16], [-41], [-20], [-84], [-18], [52], [-16], [-40], [14], [75], [-23], [34], [-64], [42], [30], [-11], [36], [4], [40], [16], [46], [66], [-35], [-18], [-49], [-57], [-28], [4], [-68], [-28], [78], [-70], [64], [-68], [76], [-18], [40], [-8], [-57], [60], [31], [29], [49], [-66], [56], [11], [30], [-78], [-15], [16], [4], [-70], [24], [-43], [-79], [-38], [35], [-38], [-44], [12], [-82], [30], [-38], [-7], [70], [54], [-74], [16], [57], [-51], [31], [6], [26], [49], [-15], [52], [45], [-49], [64], [50], [-42], [-82], [-6], [-50], [55], [-75], [30], [36], [-14], [-18], [-84], [-75], [28], [-7], [-21], [-6], [92], [52], [-78], [-5], [-50], [-59], [36], [-54], [18], [-46], [-64], [50], [16], [-18], [-7], [-28], [-73], [-63], [22], [30], [49], [-64], [-10], [61], [94], [72], [-28], [51], [-35], [18], [27], [-85], [-75], [-9], [17], [82], [-76], [-36], [-4], [66], [12], [-20], [87], [-18], [24], [-64], [45], [-76], [50], [-2], [18], [12], [16], [88], [60], [11], [-92], [31]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 49539595934637248, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '7360.2.a.l', 'level': 7360, 'maxp': 2999, '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

  
  {'ALdims': [22, 22, 25, 19, 22, 22, 19, 25], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6, 6, 6, 6, 6], 'ALdims_old': [115, 120, 121, 121, 124, 118, 117, 117], 'Nk2': 29440, 'analytic_conductor': 58.769895887662365, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [7360, 1, [1151, 5061, 4417, 6721], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1129, 'dim': 176, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7, 11, 13, 17], 'hecke_orbit_code': 33561792, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6], 'label': '7360.2.a', 'level': 7360, '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, 23], 'level_radical': 230, 'mf_dim': 1176, 'mf_new_dim': 176, 'num_forms': 74, 'plus_dim': 82, 'prim_orbit_index': 1, 'relative_dim': 176, 'sturm_bound': 2304, 'trace_bound': 11, 'trace_display': [0, 0, 0, 0], 'traces': [176, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, -32, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 32, 0, 0, 0, -80, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, -160, 0, 0, 0, -32, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 176, 0, 0, 0, 48, 0, 0, 0, -32, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, -64, 0, 0, 0, 160, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 176, 0, 0, 0, -64, 0, 0, 0, 64, 0, 0, 0, 128, 0, 0, 0, -64, 0, 0, 0, 64, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, -64, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 32, 0, 0, 0, 48, 0, 0, 0, 32, 0, 0, 0, -32, 0, 0, 0, 64, 0, 0, 0, -128, 0, 0, 0, 96, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, -32, 0, 0, 0, 352, 0, 0, 0, 112, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, -32, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, -64, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 96, 0, 0, 0, 160, 0, 0, 0, -192, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 64, 0, 0, 0, -96, 0, 0, 0, 16, 0, 0, 0, 96, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 32, 0, 0, 0, 160, 0, 0, 0, -64, 0, 0, 0, -48, 0, 0, 0, -128, 0, 0, 0, -192, 0, 0, 0, 64, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, -64, 0, 0, 0, 160, 0, 0, 0, -160, 0, 0, 0, -32, 0, 0, 0, 176, 0, 0, 0, 208, 0, 0, 0, -256, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, -64, 0, 0, 0, 160, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, -256, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -416, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 176, 0, 0, 0, 272, 0, 0, 0, -224, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, -96, 0, 0, 0, -96, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 416, 0, 0, 0, -160, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 352, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 368, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, -64, 0, 0, 0, -96, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, -352, 0, 0, 0, -416, 0, 0, 0, -288, 0, 0, 0, -96, 0, 0, 0, -192, 0, 0, 0, -288, 0, 0, 0, -512, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 544, 0, 0, 0, -192, 0, 0, 0, -32, 0, 0, 0, -448, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, -64, 0, 0, 0, -160, 0, 0, 0, 32, 0, 0, 0, 32, 0, 0, 0, -80, 0, 0, 0, -320, 0, 0, 0, 368, 0, 0, 0, 112, 0, 0, 0, 64, 0, 0, 0, -160, 0, 0, 0, -80, 0, 0, 0, -96, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, -448, 0, 0, 0, 16, 0, 0, 0, -160, 0, 0, 0, 224, 0, 0, 0, -320, 0, 0, 0, 576, 0, 0, 0, -96, 0, 0, 0, 176, 0, 0, 0, -128, 0, 0, 0, 496, 0, 0, 0, 32, 0, 0, 0, 192, 0, 0, 0, -352, 0, 0, 0, -32, 0, 0, 0, -64, 0, 0, 0, -144, 0, 0, 0, -64, 0, 0, 0, 352, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, -160, 0, 0, 0, 352, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, -256, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 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: 1346157
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 12, 'source_is_minimal': False, 'source_label': '7360.2.a.l', 'source_level': 7360, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '920.2.a.c', 'target_level': 920, 'twist_class_label': '920.2.a.c', 'twist_class_level': 920, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1346158
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 12, 'source_is_minimal': False, 'source_label': '7360.2.a.l', 'source_level': 7360, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '1840.2.a.f', 'target_level': 1840, 'twist_class_label': '920.2.a.c', 'twist_class_level': 920, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1346159
    {'conductor': 40, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 12, 'source_is_minimal': False, 'source_label': '7360.2.a.l', 'source_level': 7360, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '4600.2.a.h', 'target_level': 4600, 'twist_class_label': '920.2.a.c', 'twist_class_level': 920, 'twisting_char_label': '40.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 1346160
    {'conductor': 40, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 12, 'source_is_minimal': False, 'source_label': '7360.2.a.l', 'source_level': 7360, 'target_char_orbit': 5, 'target_dim': 2, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '4600.2.e.j', 'target_level': 4600, 'twist_class_label': '920.2.a.c', 'twist_class_level': 920, 'twisting_char_label': '40.i', 'twisting_char_orbit': 9, 'weight': 2}
  • id: 1346161
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 12, 'source_is_minimal': False, 'source_label': '7360.2.a.l', 'source_level': 7360, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 11, 'target_is_minimal': False, 'target_label': '7360.2.a.k', 'target_level': 7360, 'twist_class_label': '920.2.a.c', 'twist_class_level': 920, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1346162
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 12, 'source_is_minimal': False, 'source_label': '7360.2.a.l', 'source_level': 7360, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 12, 'target_is_minimal': False, 'target_label': '7360.2.a.l', 'target_level': 7360, 'twist_class_label': '920.2.a.c', 'twist_class_level': 920, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1346163
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 12, 'source_is_minimal': False, 'source_label': '7360.2.a.l', 'source_level': 7360, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '8280.2.a.j', 'target_level': 8280, 'twist_class_label': '920.2.a.c', 'twist_class_level': 920, 'twisting_char_label': '24.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 1346164
    {'conductor': 40, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 12, 'source_is_minimal': False, 'source_label': '7360.2.a.l', 'source_level': 7360, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 23, 'target_is_minimal': False, 'target_label': '9200.2.a.w', 'target_level': 9200, 'twist_class_label': '920.2.a.c', 'twist_class_level': 920, 'twisting_char_label': '40.e', 'twisting_char_orbit': 5, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4452875
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 49539595934637248, 'p': 2}
  • id: 4452876
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 49539595934637248, 'p': 3}
  • id: 4452877
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 49539595934637248, 'p': 5}
  • id: 4452878
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 49539595934637248, 'p': 7}
  • id: 4452879
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 49539595934637248, 'p': 11}
  • id: 4452880
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 49539595934637248, 'p': 13}
  • id: 4452881
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 49539595934637248, 'p': 17}
  • id: 4452882
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 49539595934637248, 'p': 19}
  • id: 4452883
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 49539595934637248, 'p': 23}
  • id: 4452884
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 49539595934637248, 'p': 29}
  • id: 4452885
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 49539595934637248, 'p': 31}
  • id: 4452886
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 49539595934637248, 'p': 37}
  • id: 4452887
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 49539595934637248, 'p': 41}
  • id: 4452888
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 49539595934637248, 'p': 43}
  • id: 4452889
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 49539595934637248, 'p': 47}
  • id: 4452890
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 49539595934637248, 'p': 53}
  • id: 4452891
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 49539595934637248, 'p': 59}
  • id: 4452892
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 49539595934637248, 'p': 61}
  • id: 4452893
    {'charpoly_factorization': [[[-7, 1], 1]], 'hecke_orbit_code': 49539595934637248, 'p': 67}
  • id: 4452894
    {'charpoly_factorization': [[[5, 1], 1]], 'hecke_orbit_code': 49539595934637248, 'p': 71}
  • id: 4452895
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 49539595934637248, 'p': 73}
  • id: 4452896
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 49539595934637248, 'p': 79}
  • id: 4452897
    {'charpoly_factorization': [[[-11, 1], 1]], 'hecke_orbit_code': 49539595934637248, 'p': 83}
  • id: 4452898
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 49539595934637248, 'p': 89}
  • id: 4452899
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 49539595934637248, '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': 1, 'hecke_orbit': 12, 'label': '7360.2.a.l', 'level': 7360, 'portrait': 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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: 56312089
    {'hecke_orbit_code': 49539595934637248, 'n': 1, 'trace_an': 1}
  • id: 56312090
    {'hecke_orbit_code': 49539595934637248, 'n': 2, 'trace_an': 0}
  • id: 56312091
    {'hecke_orbit_code': 49539595934637248, 'n': 3, 'trace_an': 0}
  • id: 56312092
    {'hecke_orbit_code': 49539595934637248, 'n': 4, 'trace_an': 0}
  • id: 56312093
    {'hecke_orbit_code': 49539595934637248, 'n': 5, 'trace_an': -1}
  • id: 56312094
    {'hecke_orbit_code': 49539595934637248, 'n': 6, 'trace_an': 0}
  • id: 56312095
    {'hecke_orbit_code': 49539595934637248, 'n': 7, 'trace_an': 1}
  • id: 56312096
    {'hecke_orbit_code': 49539595934637248, 'n': 8, 'trace_an': 0}
  • id: 56312097
    {'hecke_orbit_code': 49539595934637248, 'n': 9, 'trace_an': -3}
  • id: 56312098
    {'hecke_orbit_code': 49539595934637248, 'n': 10, 'trace_an': 0}
  • id: 56312099
    {'hecke_orbit_code': 49539595934637248, 'n': 11, 'trace_an': 6}
  • id: 56312100
    {'hecke_orbit_code': 49539595934637248, 'n': 12, 'trace_an': 0}
  • id: 56312101
    {'hecke_orbit_code': 49539595934637248, 'n': 13, 'trace_an': 2}
  • id: 56312102
    {'hecke_orbit_code': 49539595934637248, 'n': 14, 'trace_an': 0}
  • id: 56312103
    {'hecke_orbit_code': 49539595934637248, 'n': 15, 'trace_an': 0}
  • id: 56312104
    {'hecke_orbit_code': 49539595934637248, 'n': 16, 'trace_an': 0}
  • id: 56312105
    {'hecke_orbit_code': 49539595934637248, 'n': 17, 'trace_an': -3}
  • id: 56312106
    {'hecke_orbit_code': 49539595934637248, 'n': 18, 'trace_an': 0}
  • id: 56312107
    {'hecke_orbit_code': 49539595934637248, 'n': 19, 'trace_an': 6}
  • id: 56312108
    {'hecke_orbit_code': 49539595934637248, 'n': 20, 'trace_an': 0}
  • id: 56312109
    {'hecke_orbit_code': 49539595934637248, 'n': 21, 'trace_an': 0}
  • id: 56312110
    {'hecke_orbit_code': 49539595934637248, 'n': 22, 'trace_an': 0}
  • id: 56312111
    {'hecke_orbit_code': 49539595934637248, 'n': 23, 'trace_an': 1}
  • id: 56312112
    {'hecke_orbit_code': 49539595934637248, 'n': 24, 'trace_an': 0}
  • id: 56312113
    {'hecke_orbit_code': 49539595934637248, 'n': 25, 'trace_an': 1}
  • id: 56312114
    {'hecke_orbit_code': 49539595934637248, 'n': 26, 'trace_an': 0}
  • id: 56312115
    {'hecke_orbit_code': 49539595934637248, 'n': 27, 'trace_an': 0}
  • id: 56312116
    {'hecke_orbit_code': 49539595934637248, 'n': 28, 'trace_an': 0}
  • id: 56312117
    {'hecke_orbit_code': 49539595934637248, 'n': 29, 'trace_an': -3}
  • id: 56312118
    {'hecke_orbit_code': 49539595934637248, 'n': 30, 'trace_an': 0}
  • id: 56312119
    {'hecke_orbit_code': 49539595934637248, 'n': 31, 'trace_an': -3}
  • id: 56312120
    {'hecke_orbit_code': 49539595934637248, 'n': 32, 'trace_an': 0}
  • id: 56312121
    {'hecke_orbit_code': 49539595934637248, 'n': 33, 'trace_an': 0}
  • id: 56312122
    {'hecke_orbit_code': 49539595934637248, 'n': 34, 'trace_an': 0}
  • id: 56312123
    {'hecke_orbit_code': 49539595934637248, 'n': 35, 'trace_an': -1}
  • id: 56312124
    {'hecke_orbit_code': 49539595934637248, 'n': 36, 'trace_an': 0}
  • id: 56312125
    {'hecke_orbit_code': 49539595934637248, 'n': 37, 'trace_an': -1}
  • id: 56312126
    {'hecke_orbit_code': 49539595934637248, 'n': 38, 'trace_an': 0}
  • id: 56312127
    {'hecke_orbit_code': 49539595934637248, 'n': 39, 'trace_an': 0}
  • id: 56312128
    {'hecke_orbit_code': 49539595934637248, 'n': 40, 'trace_an': 0}
  • id: 56312129
    {'hecke_orbit_code': 49539595934637248, 'n': 41, 'trace_an': 9}
  • id: 56312130
    {'hecke_orbit_code': 49539595934637248, 'n': 42, 'trace_an': 0}
  • id: 56312131
    {'hecke_orbit_code': 49539595934637248, 'n': 43, 'trace_an': 8}
  • id: 56312132
    {'hecke_orbit_code': 49539595934637248, 'n': 44, 'trace_an': 0}
  • id: 56312133
    {'hecke_orbit_code': 49539595934637248, 'n': 45, 'trace_an': 3}
  • id: 56312134
    {'hecke_orbit_code': 49539595934637248, 'n': 46, 'trace_an': 0}
  • id: 56312135
    {'hecke_orbit_code': 49539595934637248, 'n': 47, 'trace_an': 4}
  • id: 56312136
    {'hecke_orbit_code': 49539595934637248, 'n': 48, 'trace_an': 0}
  • id: 56312137
    {'hecke_orbit_code': 49539595934637248, 'n': 49, 'trace_an': -6}
  • id: 56312138
    {'hecke_orbit_code': 49539595934637248, 'n': 50, 'trace_an': 0}
  • id: 56312139
    {'hecke_orbit_code': 49539595934637248, 'n': 51, 'trace_an': 0}
  • id: 56312140
    {'hecke_orbit_code': 49539595934637248, 'n': 52, 'trace_an': 0}
  • id: 56312141
    {'hecke_orbit_code': 49539595934637248, 'n': 53, 'trace_an': -1}
  • id: 56312142
    {'hecke_orbit_code': 49539595934637248, 'n': 54, 'trace_an': 0}
  • id: 56312143
    {'hecke_orbit_code': 49539595934637248, 'n': 55, 'trace_an': -6}
  • id: 56312144
    {'hecke_orbit_code': 49539595934637248, 'n': 56, 'trace_an': 0}
  • id: 56312145
    {'hecke_orbit_code': 49539595934637248, 'n': 57, 'trace_an': 0}
  • id: 56312146
    {'hecke_orbit_code': 49539595934637248, 'n': 58, 'trace_an': 0}
  • id: 56312147
    {'hecke_orbit_code': 49539595934637248, 'n': 59, 'trace_an': -1}
  • id: 56312148
    {'hecke_orbit_code': 49539595934637248, 'n': 60, 'trace_an': 0}
  • id: 56312149
    {'hecke_orbit_code': 49539595934637248, 'n': 61, 'trace_an': -8}
  • id: 56312150
    {'hecke_orbit_code': 49539595934637248, 'n': 62, 'trace_an': 0}
  • id: 56312151
    {'hecke_orbit_code': 49539595934637248, 'n': 63, 'trace_an': -3}
  • id: 56312152
    {'hecke_orbit_code': 49539595934637248, 'n': 64, 'trace_an': 0}
  • id: 56312153
    {'hecke_orbit_code': 49539595934637248, 'n': 65, 'trace_an': -2}
  • id: 56312154
    {'hecke_orbit_code': 49539595934637248, 'n': 66, 'trace_an': 0}
  • id: 56312155
    {'hecke_orbit_code': 49539595934637248, 'n': 67, 'trace_an': 7}
  • id: 56312156
    {'hecke_orbit_code': 49539595934637248, 'n': 68, 'trace_an': 0}
  • id: 56312157
    {'hecke_orbit_code': 49539595934637248, 'n': 69, 'trace_an': 0}
  • id: 56312158
    {'hecke_orbit_code': 49539595934637248, 'n': 70, 'trace_an': 0}
  • id: 56312159
    {'hecke_orbit_code': 49539595934637248, 'n': 71, 'trace_an': -5}
  • id: 56312160
    {'hecke_orbit_code': 49539595934637248, 'n': 72, 'trace_an': 0}
  • id: 56312161
    {'hecke_orbit_code': 49539595934637248, 'n': 73, 'trace_an': -6}
  • id: 56312162
    {'hecke_orbit_code': 49539595934637248, 'n': 74, 'trace_an': 0}
  • id: 56312163
    {'hecke_orbit_code': 49539595934637248, 'n': 75, 'trace_an': 0}
  • id: 56312164
    {'hecke_orbit_code': 49539595934637248, 'n': 76, 'trace_an': 0}
  • id: 56312165
    {'hecke_orbit_code': 49539595934637248, 'n': 77, 'trace_an': 6}
  • id: 56312166
    {'hecke_orbit_code': 49539595934637248, 'n': 78, 'trace_an': 0}
  • id: 56312167
    {'hecke_orbit_code': 49539595934637248, 'n': 79, 'trace_an': 0}
  • id: 56312168
    {'hecke_orbit_code': 49539595934637248, 'n': 80, 'trace_an': 0}
  • id: 56312169
    {'hecke_orbit_code': 49539595934637248, 'n': 81, 'trace_an': 9}
  • id: 56312170
    {'hecke_orbit_code': 49539595934637248, 'n': 82, 'trace_an': 0}
  • id: 56312171
    {'hecke_orbit_code': 49539595934637248, 'n': 83, 'trace_an': 11}
  • id: 56312172
    {'hecke_orbit_code': 49539595934637248, 'n': 84, 'trace_an': 0}
  • id: 56312173
    {'hecke_orbit_code': 49539595934637248, 'n': 85, 'trace_an': 3}
  • id: 56312174
    {'hecke_orbit_code': 49539595934637248, 'n': 86, 'trace_an': 0}
  • id: 56312175
    {'hecke_orbit_code': 49539595934637248, 'n': 87, 'trace_an': 0}
  • id: 56312176
    {'hecke_orbit_code': 49539595934637248, 'n': 88, 'trace_an': 0}
  • id: 56312177
    {'hecke_orbit_code': 49539595934637248, 'n': 89, 'trace_an': 4}
  • id: 56312178
    {'hecke_orbit_code': 49539595934637248, 'n': 90, 'trace_an': 0}
  • id: 56312179
    {'hecke_orbit_code': 49539595934637248, 'n': 91, 'trace_an': 2}
  • id: 56312180
    {'hecke_orbit_code': 49539595934637248, 'n': 92, 'trace_an': 0}
  • id: 56312181
    {'hecke_orbit_code': 49539595934637248, 'n': 93, 'trace_an': 0}
  • id: 56312182
    {'hecke_orbit_code': 49539595934637248, 'n': 94, 'trace_an': 0}
  • id: 56312183
    {'hecke_orbit_code': 49539595934637248, 'n': 95, 'trace_an': -6}
  • id: 56312184
    {'hecke_orbit_code': 49539595934637248, 'n': 96, 'trace_an': 0}
  • id: 56312185
    {'hecke_orbit_code': 49539595934637248, 'n': 97, 'trace_an': 6}
  • id: 56312186
    {'hecke_orbit_code': 49539595934637248, 'n': 98, 'trace_an': 0}
  • id: 56312187
    {'hecke_orbit_code': 49539595934637248, 'n': 99, 'trace_an': -18}
  • id: 56312188
    {'hecke_orbit_code': 49539595934637248, 'n': 100, 'trace_an': 0}