Newform data - 3840.2.a.bb

Formats: - HTML - YAML - JSON - 2024-12-08T05:25:22.599698

• 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': 15360, 'analytic_conductor': 30.662554376171666, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -1], [5, -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': [3840, 1, [511, 2821, 2561, 1537], [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': [[7, [-2, 1]], [11, [-2, 1]], [13, [-2, 1]], [17, [-4, 1]], [19, [-4, 1]]], 'hecke_orbit': 28, 'hecke_orbit_code': 121597189972561664, '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': '3840.2.a.bb', 'level': 3840, '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, 5], 'level_radical': 30, 'minimal_twist': '1920.2.k.c', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{3}+q^{5}+2q^{7}+q^{9}+2q^{11}+2q^{13}+\\cdots', 'related_objects': ['EllipticCurve/Q/3840/bb'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3840.2.a', 'trace_display': [0, 1, 1, 2], 'trace_hash': 1446776145214881417, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.030', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.994', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.053', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.134', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.015', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.023', 'prec': 17}, 'traces': [1, 0, 1, 0, 1, 0, 2, 0, 1, 0, 2, 0, 2, 0, 1, 0, 4, 0, 4, 0, 2, 0, 4, 0, 1, 0, 1, 0, 2, 0, -4, 0, 2, 0, 2, 0, -2, 0, 2, 0, -6, 0, -4, 0, 1, 0, -8, 0, -3, 0, 4, 0, -10, 0, 2, 0, 4, 0, -6, 0, 0, 0, 2, 0, 2, 0, 12, 0, 4, 0, 8, 0, 6, 0, 1, 0, 4, 0, -4, 0, 1, 0, 16, 0, 4, 0, 2, 0, 6, 0, 4, 0, -4, 0, 4, 0, -14, 0, 2, 0, 2, 0, -14, 0, 2, 0, 8, 0, -16, 0, -2, 0, 16, 0, 4, 0, 2, 0, 8, 0, -7, 0, -6, 0, 1, 0, -14, 0, -4, 0, 6, 0, 8, 0, 1, 0, 0, 0, 16, 0, -8, 0, 4, 0, 2, 0, -3, 0, -18, 0, 24, 0, 4, 0, -4, 0, 10, 0, -10, 0, 8, 0, 20, 0, 2, 0, -12, 0, -9, 0, 4, 0, -6, 0, 2, 0, -6, 0, 10, 0, 8, 0, 0, 0, -2, 0, 8, 0, 2, 0, -8, 0, -18, 0, 2, 0, -6, 0, -8, 0, 12, 0, 4, 0, -6, 0, 4, 0, 8, 0, -8, 0, 8, 0, -4, 0, -8, 0, 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-24, 0, 60, 0, -12, 0, -8, 0, -14, 0, 16, 0, 80, 0, 48, 0, -2, 0, -96, 0, -20, 0, -14, 0, -28, 0, 2, 0, -34, 0, -14, 0, 44, 0, -12, 0, -8, 0, -82, 0, 32, 0, 46, 0, -36, 0, 8, 0, 28, 0, 47, 0, 2, 0, -28, 0, 12, 0, -2, 0, -34, 0, -16, 0, 38, 0, 16, 0, 16, 0, -24, 0, -72, 0, -62, 0, 2, 0, -42, 0, -48, 0, 12, 0, 32, 0, 38, 0, 12, 0, -8, 0, 60, 0, 34, 0, 20, 0, -82, 0, 24, 0, 74, 0, -76, 0, -8, 0, 0, 0, 96, 0, 4, 0, -36, 0, 4, 0, 0, 0, 24, 0, -48, 0, -15, 0, -6, 0, 82, 0, 8, 0, 18, 0, -56, 0, -18, 0, 72, 0, 4, 0, -54, 0, -68, 0, 32, 0, 16, 0, 94, 0, -48, 0, -26, 0, -20, 0, -22, 0, 32, 0, -56, 0, 8, 0, 2, 0, 8, 0, 4, 0, -36, 0, -68, 0, 8, 0, 12, 0, -58, 0, -24, 0, -16, 0, -16, 0, -40, 0, -8, 0, 8, 0, 14, 0, -6, 0, 18, 0, 36, 0, -16, 0, -64, 0, 24, 0, -16, 0, -6, 0, -52, 0, 16, 0, 8, 0, -8, 0, 20, 0, 48, 0, 40, 0, -8, 0, -28, 0, 0, 0, -62, 0, -36, 0, 0, 0, -2, 0, 40, 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], [1], [0], [1], [0], [2], [0], [1], [0], [2], [0], [2], [0], [1], [0], [4], [0], [4], [0], [2], [0], [4], [0], [1], [0], [1], [0], [2], [0], [-4], [0], [2], [0], [2], [0], [-2], [0], [2], [0], [-6], [0], [-4], [0], [1], [0], [-8], [0], [-3], [0], [4], [0], [-10], [0], [2], [0], [4], [0], [-6], [0], [0], [0], [2], [0], [2], [0], [12], [0], [4], [0], [8], [0], [6], [0], [1], [0], [4], [0], [-4], [0], [1], [0], [16], [0], [4], [0], [2], [0], [6], [0], [4], [0], [-4], [0], [4], [0], [-14], [0], [2], [0]], 'ap': [[0], [1], [1], [2], [2], [2], [4], [4], [4], [2], [-4], [-2], [-6], [-4], [-8], [-10], [-6], [0], [12], [8], [6], [-4], [16], [6], [-14], [2], [-14], [8], [-16], [16], [-14], [6], [0], [16], [-18], [24], [10], [20], [-12], [-6], [10], [8], [-8], [-18], [-6], [-8], [-8], [2], [4], [-4], [-4], [0], [-26], [30], [8], [-28], [18], [24], [22], [-18], [-4], [-6], [-12], [32], [-2], [34], [20], [-10], [12], [-16], [4], [-24], [-6], [-14], [8], [32], [-2], [-10], [14], [-38], [-34], [-20], [24], [-34], [0], [-12], [14], [2], [6], [38], [-24], [-32], [-26], [6], [4], [0], [-6], [30], [-20], [-8], [-36], [2], [12], [38], [20], [-6], [8], [24], [0], [38], [-34], [-42], [4], [-8], [44], [18], [12], [-24], [-34], [-18], [-32], [-34], [22], [-40], [-20], [34], [52], [0], [-26], [46], [-4], [-32], [-28], [6], [14], [34], [10], [12], [-38], [34], [-40], [18], [38], [-28], [-16], [-24], [46], [-20], [-56], [-44], [2], [-2], [-28], [36], [-28], [48], [36], [-34], [2], [38], [12], [24], [-54], [-26], [-36], [-8], [16], [-62], [54], [-30], [2], [36], [48], [22], [-4], [-2], [-8], [38], [-2], [-20], [-10], [22], [-42], [24], [0], [-2], [-6], [44], [-58], [0], [-58], [4], [16], [-66], [0], [-24], [2], [2], [-48], [40], [30], [44], [2], [-6], [18], [-30], [-20], [-4], [-2], [4], [-34], [54], [-6], [-12], [0], [6], [2], [-18], [-48], [-62], [-68], [0], [-14], [14], [-16], [68], [48], [56], [-2], [10], [58], [56], [56], [-42], [44], [4], [50], [-10], [2], [-48], [-76], [-36], [30], [-16], [-4], [-72], [-14], [66], [52], [-20], [54], [34], [-60], [54], [-66], [62], [0], [4], [54], [14], [10], [-12], [-60], [70], [-48], [-52], [30], [-54], [68], [-26], [20], [4], [46], [-12], [38], [42], [12], [-8], [58], [30], [-12], [-16], [0], [-12], [-12], [80], [26], [-42], [-72], [66], [-10], [40], [-52], [-6], [54], [-2], [28], [-66], [42], [52], [-26], [30], [40], [-72], [-20], [26], [40], [-76], [24], [50], [-12], [2], [54], [-4], [-40], [34], [66], [64], [-2], [-22], [60], [62], [66], [-26], [-52], [-10], [-72], [36], [80], [-30], [-84], [-30], [76], [56], [48], [72], [-20], [-84], [38], [2], [26], [-36], [-38], [-16], [30], [-54], [-12], [-76], [-40], [62], [64], [-14], [74], [-78], [0], [12], [-40], [-54], [32], [36], [82], [-46], [48], [-78], [92], [82], [30], [26], [10], [42], [-40], [-64], [-54], [32], [-34], [58], [-48], [-14], [14], [66], [38], [-32], [-62], [12], [16], [60], [-12], [46], [20], [12], [34], [-70], [42], [-68], [-48], [-54], [-56], [-86], [-92], [14], [4], [72], [-14], [-96], [-14], [44], [-82], [46], [-36], [-34], [-62], [-42], [32], [60], [-82], [74], [24], [82], [72], [-68], [94], [-22], [8], [-58], [14], [18], [-64], [-6], [-52], [40]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 121597189972561664, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '3840.2.a.bb', 'level': 3840, 'maxp': 2999, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	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': [8, 10, 8, 6, 8, 6, 8, 10], 'Nk2': 15360, 'analytic_conductor': 30.662554376171666, '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': [3840, 1, [511, 2821, 2561, 1537], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 721, 'dim': 64, 'eis_dim': 95, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11, 13, 17, 19], 'hecke_orbit_code': 33558272, '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, 3, 3, 3, 3], 'label': '3840.2.a', 'level': 3840, '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, 5], 'level_radical': 30, 'mf_dim': 816, 'mf_new_dim': 64, 'num_forms': 44, 'plus_dim': 28, 'prim_orbit_index': 1, 'relative_dim': 64, 'sturm_bound': 1536, 'trace_bound': 23, 'trace_display': [0, 0, 0, 0], 'traces': [64, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, -384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -384, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -448, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -512, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 448, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -640, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 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: 1157906
    {'conductor': 16, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 28, 'source_is_minimal': False, 'source_label': '3840.2.a.bb', 'source_level': 3840, 'target_char_orbit': 11, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '1920.2.k.c', 'target_level': 1920, 'twist_class_label': '1920.2.k.c', 'twist_class_level': 1920, 'twisting_char_label': '16.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 1157907
    {'conductor': 16, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 28, 'source_is_minimal': False, 'source_label': '3840.2.a.bb', 'source_level': 3840, 'target_char_orbit': 11, 'target_dim': 2, 'target_hecke_orbit': 6, 'target_is_minimal': True, 'target_label': '1920.2.k.f', 'target_level': 1920, 'twist_class_label': '1920.2.k.c', 'twist_class_level': 1920, 'twisting_char_label': '16.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 1157908
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 28, 'source_is_minimal': False, 'source_label': '3840.2.a.bb', 'source_level': 3840, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '3840.2.a.f', 'target_level': 3840, 'twist_class_label': '1920.2.k.c', 'twist_class_level': 1920, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1157909
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 28, 'source_is_minimal': False, 'source_label': '3840.2.a.bb', 'source_level': 3840, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '3840.2.a.h', 'target_level': 3840, 'twist_class_label': '1920.2.k.c', 'twist_class_level': 1920, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1157910
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 28, 'source_is_minimal': False, 'source_label': '3840.2.a.bb', 'source_level': 3840, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 16, 'target_is_minimal': False, 'target_label': '3840.2.a.p', 'target_level': 3840, 'twist_class_label': '1920.2.k.c', 'twist_class_level': 1920, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1157911
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 28, 'source_is_minimal': False, 'source_label': '3840.2.a.bb', 'source_level': 3840, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 28, 'target_is_minimal': False, 'target_label': '3840.2.a.bb', 'target_level': 3840, 'twist_class_label': '1920.2.k.c', 'twist_class_level': 1920, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1157912
    {'conductor': 48, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 28, 'source_is_minimal': False, 'source_label': '3840.2.a.bb', 'source_level': 3840, 'target_char_orbit': 11, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '5760.2.k.d', 'target_level': 5760, 'twist_class_label': '1920.2.k.c', 'twist_class_level': 1920, 'twisting_char_label': '48.i', 'twisting_char_orbit': 9, 'weight': 2}
  • id: 1157913
    {'conductor': 48, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 28, 'source_is_minimal': False, 'source_label': '3840.2.a.bb', 'source_level': 3840, 'target_char_orbit': 11, 'target_dim': 2, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '5760.2.k.g', 'target_level': 5760, 'twist_class_label': '1920.2.k.c', 'twist_class_level': 1920, 'twisting_char_label': '48.k', 'twisting_char_orbit': 11, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3387375
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 121597189972561664, 'p': 2}
  • id: 3387376
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 121597189972561664, 'p': 3}
  • id: 3387377
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 121597189972561664, 'p': 5}
  • id: 3387378
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 121597189972561664, 'p': 7}
  • id: 3387379
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 121597189972561664, 'p': 11}
  • id: 3387380
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 121597189972561664, 'p': 13}
  • id: 3387381
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 121597189972561664, 'p': 17}
  • id: 3387382
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 121597189972561664, 'p': 19}
  • id: 3387383
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 121597189972561664, 'p': 23}
  • id: 3387384
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 121597189972561664, 'p': 29}
  • id: 3387385
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 121597189972561664, 'p': 31}
  • id: 3387386
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 121597189972561664, 'p': 37}
  • id: 3387387
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 121597189972561664, 'p': 41}
  • id: 3387388
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 121597189972561664, 'p': 43}
  • id: 3387389
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 121597189972561664, 'p': 47}
  • id: 3387390
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 121597189972561664, 'p': 53}
  • id: 3387391
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 121597189972561664, 'p': 59}
  • id: 3387392
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 121597189972561664, 'p': 61}
  • id: 3387393
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 121597189972561664, 'p': 67}
  • id: 3387394
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 121597189972561664, 'p': 71}
  • id: 3387395
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 121597189972561664, 'p': 73}
  • id: 3387396
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 121597189972561664, 'p': 79}
  • id: 3387397
    {'charpoly_factorization': [[[-16, 1], 1]], 'hecke_orbit_code': 121597189972561664, 'p': 83}
  • id: 3387398
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 121597189972561664, 'p': 89}
  • id: 3387399
    {'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 121597189972561664, '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': 28, 'label': '3840.2.a.bb', 'level': 3840, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 67542055
    {'hecke_orbit_code': 121597189972561664, 'n': 1, 'trace_an': 1}
  • id: 67542056
    {'hecke_orbit_code': 121597189972561664, 'n': 2, 'trace_an': 0}
  • id: 67542057
    {'hecke_orbit_code': 121597189972561664, 'n': 3, 'trace_an': 1}
  • id: 67542058
    {'hecke_orbit_code': 121597189972561664, 'n': 4, 'trace_an': 0}
  • id: 67542059
    {'hecke_orbit_code': 121597189972561664, 'n': 5, 'trace_an': 1}
  • id: 67542060
    {'hecke_orbit_code': 121597189972561664, 'n': 6, 'trace_an': 0}
  • id: 67542061
    {'hecke_orbit_code': 121597189972561664, 'n': 7, 'trace_an': 2}
  • id: 67542062
    {'hecke_orbit_code': 121597189972561664, 'n': 8, 'trace_an': 0}
  • id: 67542063
    {'hecke_orbit_code': 121597189972561664, 'n': 9, 'trace_an': 1}
  • id: 67542064
    {'hecke_orbit_code': 121597189972561664, 'n': 10, 'trace_an': 0}
  • id: 67542065
    {'hecke_orbit_code': 121597189972561664, 'n': 11, 'trace_an': 2}
  • id: 67542066
    {'hecke_orbit_code': 121597189972561664, 'n': 12, 'trace_an': 0}
  • id: 67542067
    {'hecke_orbit_code': 121597189972561664, 'n': 13, 'trace_an': 2}
  • id: 67542068
    {'hecke_orbit_code': 121597189972561664, 'n': 14, 'trace_an': 0}
  • id: 67542069
    {'hecke_orbit_code': 121597189972561664, 'n': 15, 'trace_an': 1}
  • id: 67542070
    {'hecke_orbit_code': 121597189972561664, 'n': 16, 'trace_an': 0}
  • id: 67542071
    {'hecke_orbit_code': 121597189972561664, 'n': 17, 'trace_an': 4}
  • id: 67542072
    {'hecke_orbit_code': 121597189972561664, 'n': 18, 'trace_an': 0}
  • id: 67542073
    {'hecke_orbit_code': 121597189972561664, 'n': 19, 'trace_an': 4}
  • id: 67542074
    {'hecke_orbit_code': 121597189972561664, 'n': 20, 'trace_an': 0}
  • id: 67542075
    {'hecke_orbit_code': 121597189972561664, 'n': 21, 'trace_an': 2}
  • id: 67542076
    {'hecke_orbit_code': 121597189972561664, 'n': 22, 'trace_an': 0}
  • id: 67542077
    {'hecke_orbit_code': 121597189972561664, 'n': 23, 'trace_an': 4}
  • id: 67542078
    {'hecke_orbit_code': 121597189972561664, 'n': 24, 'trace_an': 0}
  • id: 67542079
    {'hecke_orbit_code': 121597189972561664, 'n': 25, 'trace_an': 1}
  • id: 67542080
    {'hecke_orbit_code': 121597189972561664, 'n': 26, 'trace_an': 0}
  • id: 67542081
    {'hecke_orbit_code': 121597189972561664, 'n': 27, 'trace_an': 1}
  • id: 67542082
    {'hecke_orbit_code': 121597189972561664, 'n': 28, 'trace_an': 0}
  • id: 67542083
    {'hecke_orbit_code': 121597189972561664, 'n': 29, 'trace_an': 2}
  • id: 67542084
    {'hecke_orbit_code': 121597189972561664, 'n': 30, 'trace_an': 0}
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  • id: 67542161
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  • id: 67542180
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  • id: 67542181
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  • id: 67542182
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  • id: 67542183
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  • id: 67542188
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  • id: 67542189
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  • id: 67542190
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  • id: 67542191
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  • id: 67542192
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  • id: 67542193
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  • id: 67542196
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  • id: 67542198
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  • id: 67542200
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  • id: 67542208
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  • id: 67542212
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  • id: 67542215
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  • id: 67542216
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  • id: 67542217
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  • id: 67542218
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  • id: 67542220
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  • id: 67542221
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  • id: 67542222
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  • id: 67542225
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  • id: 67542240
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  • id: 67542280
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  • id: 67542281
    {'hecke_orbit_code': 121597189972561664, 'n': 797, 'trace_an': -38}
  • id: 67542282
    {'hecke_orbit_code': 121597189972561664, 'n': 809, 'trace_an': 34}
  • id: 67542283
    {'hecke_orbit_code': 121597189972561664, 'n': 811, 'trace_an': -40}
  • id: 67542284
    {'hecke_orbit_code': 121597189972561664, 'n': 821, 'trace_an': 18}
  • id: 67542285
    {'hecke_orbit_code': 121597189972561664, 'n': 823, 'trace_an': 38}
  • id: 67542286
    {'hecke_orbit_code': 121597189972561664, 'n': 827, 'trace_an': -28}
  • id: 67542287
    {'hecke_orbit_code': 121597189972561664, 'n': 829, 'trace_an': -16}
  • id: 67542288
    {'hecke_orbit_code': 121597189972561664, 'n': 839, 'trace_an': -24}
  • id: 67542289
    {'hecke_orbit_code': 121597189972561664, 'n': 841, 'trace_an': -25}
  • id: 67542290
    {'hecke_orbit_code': 121597189972561664, 'n': 853, 'trace_an': 46}
  • id: 67542291
    {'hecke_orbit_code': 121597189972561664, 'n': 857, 'trace_an': -20}
  • id: 67542292
    {'hecke_orbit_code': 121597189972561664, 'n': 859, 'trace_an': -56}
  • id: 67542293
    {'hecke_orbit_code': 121597189972561664, 'n': 863, 'trace_an': -44}
  • id: 67542294
    {'hecke_orbit_code': 121597189972561664, 'n': 877, 'trace_an': 2}
  • id: 67542295
    {'hecke_orbit_code': 121597189972561664, 'n': 881, 'trace_an': -2}
  • id: 67542296
    {'hecke_orbit_code': 121597189972561664, 'n': 883, 'trace_an': -28}
  • id: 67542297
    {'hecke_orbit_code': 121597189972561664, 'n': 887, 'trace_an': 36}
  • id: 67542298
    {'hecke_orbit_code': 121597189972561664, 'n': 907, 'trace_an': -28}
  • id: 67542299
    {'hecke_orbit_code': 121597189972561664, 'n': 911, 'trace_an': 48}
  • id: 67542300
    {'hecke_orbit_code': 121597189972561664, 'n': 919, 'trace_an': 36}
  • id: 67542301
    {'hecke_orbit_code': 121597189972561664, 'n': 929, 'trace_an': -34}
  • id: 67542302
    {'hecke_orbit_code': 121597189972561664, 'n': 937, 'trace_an': 2}
  • id: 67542303
    {'hecke_orbit_code': 121597189972561664, 'n': 941, 'trace_an': 38}
  • id: 67542304
    {'hecke_orbit_code': 121597189972561664, 'n': 947, 'trace_an': 12}
  • id: 67542305
    {'hecke_orbit_code': 121597189972561664, 'n': 953, 'trace_an': 24}
  • id: 67542306
    {'hecke_orbit_code': 121597189972561664, 'n': 961, 'trace_an': -15}
  • id: 67542307
    {'hecke_orbit_code': 121597189972561664, 'n': 967, 'trace_an': -54}
  • id: 67542308
    {'hecke_orbit_code': 121597189972561664, 'n': 971, 'trace_an': -26}
  • id: 67542309
    {'hecke_orbit_code': 121597189972561664, 'n': 977, 'trace_an': -36}
  • id: 67542310
    {'hecke_orbit_code': 121597189972561664, 'n': 983, 'trace_an': -8}
  • id: 67542311
    {'hecke_orbit_code': 121597189972561664, 'n': 991, 'trace_an': 16}
  • id: 67542312
    {'hecke_orbit_code': 121597189972561664, 'n': 997, 'trace_an': -62}