Newform data - 4275.2.a.l

Formats: - HTML - YAML - JSON - 2026-07-21T19:30:43.900326

• 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': 17100, 'analytic_conductor': 34.136046864097366, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [5, -1], [19, 1]], 'atkin_lehner_string': '--+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [4275, 1, [1901, 1027, 1351], [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': [[2, [-1, 1]], [7, [0, 1]], [11, [5, 1]]], 'hecke_orbit': 12, 'hecke_orbit_code': 49539595934634163, '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': '4275.2.a.l', 'level': 4275, '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': [3, 5, 19], 'level_radical': 285, 'minimal_twist': '1425.2.a.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{2}-q^{4}-3q^{8}-5q^{11}+4q^{13}+\\cdots', 'related_objects': ['EllipticCurve/Q/4275/l'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '4275.2.a', 'trace_display': [1, 0, 0, 0], 'trace_hash': 922891684039128911, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.987', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.941', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.784', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.014', 'prec': 17}, 'traces': [1, 1, 0, -1, 0, 0, 0, -3, 0, 0, -5, 0, 4, 0, 0, -1, 4, 0, -1, 0, 0, -5, 9, 0, 0, 4, 0, 0, -7, 0, 3, 5, 0, 4, 0, 0, -10, -1, 0, 0, 2, 0, 4, 5, 0, 9, -8, 0, -7, 0, 0, -4, -11, 0, 0, 0, 0, -7, -8, 0, 13, 3, 0, 7, 0, 0, 9, -4, 0, 0, -10, 0, -5, -10, 0, 1, 0, 0, -15, 0, 0, 2, -9, 0, 0, 4, 0, 15, -3, 0, 0, -9, 0, -8, 0, 0, -10, -7, 0, 0, 0, 0, -13, -12, 0, -11, -6, 0, -10, 0, 0, 0, 1, 0, 0, 7, 0, -8, 0, 0, 14, 13, 0, -3, 0, 0, 13, -3, 0, 0, -3, 0, 0, 9, 0, -12, -12, 0, 14, 0, 0, -10, -20, 0, 0, -5, 0, 10, -16, 0, -8, 3, 0, 0, 0, 0, 2, -15, 0, 0, 0, 0, 14, -2, 0, -9, -6, 0, 3, 0, 0, -4, 3, 0, 0, 5, 0, -3, 4, 0, -16, 0, 0, -27, 0, 0, -20, 8, 0, 0, 17, 0, 14, -10, 0, 7, -12, 0, 22, 0, 0, 0, 0, 0, 0, -13, 0, -4, 5, 0, 11, 11, 0, -6, 0, 0, 0, -10, 0, 0, 16, 0, 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0, -28, 0, 0, -46, 80, 0, 0, 34, 0, -31, -110, 0, 0, 12, 0, 23, 0, 0, -40, 0, 0, 0, -30, 0, 4, -7, 0, 27, 24, 0, 17, 0, 0, 0, -50, 0, 0, -99, 0, 40, 0, 0, 63, 0, 0, -14, 0, 0, -12, 0, 0, 0, -90, 0, 0, -36, 0, -16, 1, 0, 68, 0, 0, 8, -37, 0, 0, 19, 0, -45, 12, 0, -58, 30, 0, -63, 0, 0, -130, -28, 0, 0, 0, 0, -15, 0, 0, 65, -67, 0, 14, 0, 0, -50, -91, 0, 0, 6, 0, 36, -44, 0, 89, 0, 0, -14, 0, 0, -84, 20, 0, 0, 105, 0, -56, -30, 0, 0, -22, 0, -14, 0, 0, 19, 56, 0, 0, -32, 0, 13, -39, 0, 69, 3, 0, -12, 0, 0, 0, -13, 0, 0, -55, 0, 0, 0, 0, 1, 16, 0, -48, 0, 0, -55, -71, 0, 0, -25, 0, 0, 30, 0, -37, -51, 0, 27, 0, 0, -17, -3, 0, 0, 48, 0, -64, 30, 0, 3, 20, 0, 0, 0, 0, 49, 56, 0, 0, 0, 0, -70, -117, 0, 57, -20, 0, 36, 0, 0, 36, -14, 0, 0, -16, 0, 79, 16, 0, 38, 0, 0, -48, 0, 0, -108, 9, 0, 0, -44, 0, 50, -55, 0, 49, 49, 0, 10, 0, 0, 63, 0, 0, 0, 45, 0, -13, -40, 0, 8, 90, 0, -16, 0, 0, 0, -32, 0, 0, -45, 0, -1, 0, 0, -80, 3, 0, -30, 0, 0, 43, -99, 0, 0, 28, 0, 0, 32, 0, -61, 66, 0, -45, 0, 0, 26, 5, 0, 0, 69, 0, 69, 22, 0, -54, 0, 0, 0, 0, 0, -16, -42, 0, 0, 0, 0, -44, 48, 0, -32, -66, 0, -90, 0, 0, -20, 68, 0, 0, -5, 0, 72, 3, 0, 88, 0, 0, -28, 0, 0, 110, -32, 0, 0, 26, 0, -72, 39, 0, 0, -90, 0, 56, 0, 0, -2, 0, 0, 0, 40, 0, -15, -105, 0, -16, -40, 0, -28, 0, 0, 0, -75, 0, 0, -15, 0, -64, 0, 0, 3, -32, 0, 75, 0, 0, 6, -32, 0, 0, -9, 0, 28, -39, 0, 36, -105, 0, -60, 0, 0, -98, 14, 0, 0, -48, 0, 0, -42, 0, -32, -32, 0, 0, 0, 0, -30, -27, 0, 0, 0, 0, 30, 58, 0, 21, -52, 0, 12, 0, 0, 88, -31, 0, 0, -15, 0, -49, 11, 0, -40, 77, 0, 9, 0, 0, 50, 12, 0, 0, 12, 0, -14, 84, 0, 0, 16, 0, -2, 0, 0, 58, 0, 0, 0, 98, 0, 52, 14, 0, 0, 100, 0, 40, 0, 0, 0, 18, 0, 0, -4, 0, -60, 0, 0, -14, -34, 0, -16, 0, 0, -80, 9, 0, 0, -20, 0, 0, 46, 0, -45, 92, 0, 39, 0, 0, -15, -8, 0, 0, 12, 0, 63, 8, 0, -52, 6, 0, 0, 0, 0, -10, -52, 0, 0, 0, 0, 96, 65, 0, -60, -54, 0, -48, 0, 0, -36, 1, 0, 0, 24, 0, 10, 19, 0, 50, 0, 0, -3, 0, 0, 14, 27, 0, 0, -2, 0, -10, -72, 0, 0, 20, 0, 8, 0, 0, -51, 0, 0, 0, 56, 0, 45, -21, 0, 43, -6, 0, -10, 0, 0, 0, 63, 0, 0, 12, 0, 44, 0, 0, -54, 18, 0, 34, 0, 0, 28, -78, 0, 0, 44, 0, 0, -9, 0, -120, -50, 0, -10, 0, 0, 4, -3, 0, 0, 56, 0, 64, 5, 0, 60, -1, 0, 0, 0, 0, -24, 126, 0, 0, 0, 0, -8, -13, 0, -38, 51, 0, -65, 0, 0, 17, 47, 0, 0, -25, 0, 21, -8, 0, 117, 0, 0, 68, 0, 0, -10, 70, 0, 0, 85, 0, 42, 33, 0, 0, -36, 0, 36, 0, 0, 105, 0, 0, 0, 16, 0, -24, -40, 0, -13, -18, 0, -24, 0, 0, 49, -20, 0, 0, -38, 0, -15, 0, 0, -72, -27, 0, 2, 0, 0, -85, -10, 0, 0, -50, 0, 0, -4, 0, -57, -104, 0, 8, 0, 0, 0, 12, 0, 0, 15, 0, -46, -40, 0, 36, 15, 0, 0, 0, 0, 7, -3, 0, 0, 56, 0, -85, -32, 0, 16, 36, 0, -4, 0, 0, -3, 86, 0, 0, -30, 0, -2, -58, 0, -20, 0, 0, -24, 0, 0, -74, 55, 0, 0, 117, 0, 150, -16, 0, 0, -27, 0, 0, 0, 0, 1, 0, 0, 0, -54, 0, 4, 58, 0, 12, -25, 0, -27, 0, 0, 0, 45, 0, 0, -88, 0, -16, 0, 0, -4, -86, 0, 70, 0, 0, 13, 32, 0, 0, -22, 0, 0, -12, 0, 20, -40, 0, 48, 0, 0, 84, -66, 0, 0, -50, 0, -2, 60, 0, -22, 91, 0, -91, 0, 0, 20, -10, 0, 0, 0, 0, 60, 7, 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], [1], [0], [-1], [0], [0], [0], [-3], [0], [0], [-5], [0], [4], [0], [0], [-1], [4], [0], [-1], [0], [0], [-5], [9], [0], [0], [4], [0], [0], [-7], [0], [3], [5], [0], [4], [0], [0], [-10], [-1], [0], [0], [2], [0], [4], [5], [0], [9], [-8], [0], [-7], [0], [0], [-4], [-11], [0], [0], [0], [0], [-7], [-8], [0], [13], [3], [0], [7], [0], [0], [9], [-4], [0], [0], [-10], [0], [-5], [-10], [0], [1], [0], [0], [-15], [0], [0], [2], [-9], [0], [0], [4], [0], [15], [-3], [0], [0], [-9], [0], [-8], [0], [0], [-10], [-7], [0], [0]], 'ap': [[1], [0], [0], [0], [-5], [4], [4], [-1], [9], [-7], [3], [-10], [2], [4], [-8], [-11], [-8], [13], [9], [-10], [-5], [-15], [-9], [-3], [-10], [0], [-13], [-6], [-10], [1], [13], [-3], [-12], [14], [-16], [-8], [2], [14], [-6], [3], [4], [-16], [17], [14], [-12], [22], [11], [-1], [-22], [21], [0], [-8], [4], [24], [-21], [17], [-14], [10], [33], [15], [0], [-9], [-23], [-24], [-13], [-1], [-3], [-8], [-20], [-17], [-12], [0], [18], [-20], [-8], [18], [30], [-29], [-3], [-34], [-28], [-26], [-6], [-26], [37], [15], [7], [-14], [-12], [-12], [-7], [-15], [8], [-28], [-32], [-28], [7], [41], [28], [-21], [31], [0], [-30], [-6], [14], [-13], [3], [20], [44], [-10], [1], [-26], [42], [32], [28], [42], [30], [31], [-16], [4], [16], [36], [-27], [6], [10], [8], [13], [-15], [2], [-1], [4], [40], [16], [7], [30], [-37], [18], [-29], [14], [44], [-51], [-18], [2], [-8], [30], [20], [-42], [10], [22], [20], [-6], [-32], [-34], [0], [-24], [-14], [-26], [-4], [42], [-13], [12], [-17], [2], [36], [-2], [42], [5], [3], [-46], [-46], [36], [28], [-12], [45], [-29], [-42], [-36], [-54], [8], [-23], [38], [-46], [34], [23], [27], [40], [-36], [19], [-28], [19], [-32], [1], [-51], [49], [36], [38], [49], [-45], [-30], [-61], [69], [0], [48], [-32], [-15], [-60], [14], [-32], [30], [-52], [11], [50], [12], [-2], [-60], [-34], [46], [-51], [-10], [-54], [-50], [47], [42], [-38], [2], [-10], [-57], [-46], [-32], [-3], [-30], [55], [-25], [13], [-22], [48], [-66], [-22], [60], [18], [-48], [0], [-2], [54], [6], [67], [68], [22], [77], [43], [31], [58], [-3], [66], [-52], [-27], [22], [-73], [6], [-22], [-47], [32], [-25], [42], [30], [-71], [46], [-28], [-25], [28], [32], [-83], [-25], [-6], [-12], [44], [63], [0], [36], [-57], [-16], [16], [32], [-6], [48], [-60], [1], [3], [-40], [15], [-46], [83], [-6], [-30], [56], [6], [-52], [48], [-6], [62], [9], [-35], [46], [-24], [46], [44], [24], [-40], [-45], [-39], [39], [54], [-3], [-1], [8], [40], [-21], [30], [-30], [-66], [56], [-22], [34], [-56], [-12], [22], [-28], [4], [24], [-50], [63], [1], [68], [-37], [-58], [-67], [14], [-91], [89], [-84], [-56], [-22], [-39], [69], [-71], [30], [-37], [-17], [48], [20], [57], [36], [-16], [79], [-48], [9], [-55], [45], [90], [-32], [43], [28], [66], [22], [-16], [-44], [-66], [-72], [-16], [-15], [75], [-32], [-39], [36], [-98], [58], [-15], [-49], [84], [58], [98], [18], [-80], [92], [39], [-8], [-52], [-10], [96], [-54], [-48], [1], [19], [14], [-2], [-10], [8], [-21], [43], [12], [34], [-78], [4], [-1], [-13], [-38], [17], [-25], [21], [33], [-24], [-18], [-20], [-72], [-85], [-50], [-40], [7], [36], [86], [-58], [-74], [-27], [58], [-16], [-86], [32], [-12], [20], [7]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 49539595934634163, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '4275.2.a.l', 'level': 4275, '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': [12, 16, 18, 10, 21, 19, 21, 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': [55, 62, 56, 60, 57, 47, 49, 49], 'Nk2': 17100, 'analytic_conductor': 34.136046864097366, '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': [4275, 1, [1901, 1027, 1351], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 577, 'dim': 142, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7, 11], 'hecke_orbit_code': 33558707, 'hecke_orbit_dims': [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, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 6, 6, 6, 6, 6, 7, 7, 12], 'label': '4275.2.a', 'level': 4275, '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': [3, 5, 19], 'level_radical': 285, 'mf_dim': 624, 'mf_new_dim': 142, 'num_forms': 50, 'plus_dim': 62, 'prim_orbit_index': 1, 'relative_dim': 142, 'sturm_bound': 1200, 'trace_bound': 13, 'trace_display': [1, 0, 0, 5], 'traces': [142, 1, 0, 143, 0, 0, 5, -3, 0, 0, 13, 0, -2, -12, 0, 145, -11, 0, -2, 0, 0, 4, -8, 0, 0, 6, 0, 18, 32, 0, 0, 5, 0, 18, 0, 0, -12, -3, 0, 0, 0, 0, 13, 66, 0, 36, -1, 0, 145, 0, 0, 14, 26, 0, 0, 8, 0, 10, -18, 0, -9, 8, 0, 185, 0, 0, 12, -52, 0, 0, -42, 0, 1, 62, 0, -5, -41, 0, 8, 0, 0, 38, 16, 0, 0, 4, 0, -32, -2, 0, -16, 40, 0, -32, 0, 0, -6, 5, 0, 0, 28, 0, -34, 18, 0, 6, 34, 0, 38, 0, 0, 88, 20, 0, 0, 142, 0, 20, -11, 0, 213, 26, 0, -76, 0, 0, 46, -59, 0, 0, 3, 0, 1, 8, 0, 106, 29, 0, 9, 0, 0, 48, 36, 0, 0, -102, 0, -34, 57, 0, -74, -3, 0, -20, 0, 0, 36, 40, 0, 0, 0, 0, 28, -134, 0, -108, 2, 0, 170, 0, 0, 78, -24, 0, 0, 228, 0, -66, 38, 0, 56, 64, 0, 136, 0, 0, -15, 90, 0, 0, 69, 0, 14, 26, 0, 245, -56, 0, -35, 0, 0, 42, 14, 0, 0, -36, 0, -22, 25, 0, 126, 86, 0, -140, 0, 0, 44, -74, 0, 0, -56, 0, 34, 132, 0, 166, 0, 0, -71, 0, 0, 18, -81, 0, 0, 8, 0, -88, -19, 0, -28, 137, 0, -92, 0, 0, 2, -16, 0, 0, 75, 0, -20, -8, 0, -35, -74, 0, 62, 0, 0, 52, -29, 0, 0, 24, 0, 16, -106, 0, -92, -130, 0, -222, 0, 0, -3, 80, 0, 0, -12, 0, -71, -152, 0, -100, 38, 0, 221, 0, 0, 60, -18, 0, 0, 74, 0, -166, -40, 0, -85, -40, 0, -35, 0, 0, -36, -262, 0, 0, -177, 0, 16, 6, 0, 4, -68, 0, -38, 0, 0, 40, -15, 0, 0, -68, 0, 86, 17, 0, -124, 92, 0, -136, 0, 0, -138, 103, 0, 0, -120, 0, -5, 216, 0, 42, 99, 0, -115, 0, 0, 204, -116, 0, 0, 154, 0, -116, 177, 0, 142, -106, 0, 200, 0, 0, 12, 200, 0, 0, -72, 0, -86, 144, 0, -92, 36, 0, -14, 0, 0, 88, 4, 0, 0, 126, 0, -138, -53, 0, -4, 53, 0, 186, 0, 0, -43, 116, 0, 0, 230, 0, 184, -26, 0, 60, -110, 0, 182, 0, 0, -40, -82, 0, 0, 26, 0, 28, -44, 0, -122, 132, 0, -70, 0, 0, -45, 244, 0, 0, 60, 0, -4, -240, 0, 190, -16, 0, 18, 0, 0, -44, 163, 0, 0, 88, 0, 172, -34, 0, -42, -70, 0, -132, 0, 0, 23, -70, 0, 0, 9, 0, 15, 246, 0, 286, 67, 0, -192, 0, 0, -180, 71, 0, 0, 10, 0, 48, 72, 0, 284, -190, 0, 81, 0, 0, 10, -62, 0, 0, -64, 0, -122, -6, 0, -148, 154, 0, 107, 0, 0, -172, -84, 0, 0, -320, 0, 148, -202, 0, -35, -87, 0, -74, 0, 0, -115, -176, 0, 0, 106, 0, -90, -138, 0, 48, 88, 0, 198, 0, 0, -30, 20, 0, 0, 148, 0, -134, 62, 0, -125, -272, 0, -58, 0, 0, -40, -20, 0, 0, 28, 0, 128, 50, 0, -270, -143, 0, 24, 0, 0, -130, 226, 0, 0, -368, 0, -40, 86, 0, -84, -100, 0, -232, 0, 0, -5, -129, 0, 0, -172, 0, 224, -230, 0, -418, -157, 0, -12, 0, 0, -114, -208, 0, 0, -148, 0, 136, -188, 0, -168, 12, 0, -92, 0, 0, -12, -39, 0, 0, -152, 0, 157, 36, 0, -304, 177, 0, 372, 0, 0, 80, 8, 0, 0, -78, 0, -30, 34, 0, 113, -48, 0, -154, 0, 0, 50, -192, 0, 0, 278, 0, 33, -68, 0, 14, -207, 0, 90, 0, 0, 8, 197, 0, 0, -498, 0, -200, -178, 0, 270, 244, 0, -296, 0, 0, -64, -140, 0, 0, -85, 0, 112, -94, 0, 53, 28, 0, 204, 0, 0, -24, 100, 0, 0, 120, 0, 244, 216, 0, 191, 54, 0, -696, 0, 0, -134, -182, 0, 0, -44, 0, 40, 200, 0, -362, 126, 0, 148, 0, 0, -226, 256, 0, 0, 148, 0, -136, -127, 0, -222, 1, 0, -210, 0, 0, -37, 304, 0, 0, 121, 0, 88, 0, 0, -92, 96, 0, 137, 0, 0, -8, -88, 0, 0, -138, 0, -42, 102, 0, 180, 188, 0, -204, 0, 0, 43, 68, 0, 0, 309, 0, 88, -234, 0, -340, -128, 0, -173, 0, 0, -98, -40, 0, 0, -122, 0, -278, 20, 0, 62, 160, 0, -183, 0, 0, 128, -206, 0, 0, -302, 0, 92, -142, 0, -214, -42, 0, -265, 0, 0, -202, -103, 0, 0, 284, 0, -154, -25, 0, 104, 252, 0, 152, 0, 0, 41, -62, 0, 0, 269, 0, 37, 76, 0, -208, -72, 0, 402, 0, 0, 98, 60, 0, 0, 118, 0, 36, -302, 0, 30, -170, 0, 220, 0, 0, 14, 402, 0, 0, 20, 0, 16, -540, 0, -228, 160, 0, -15, 0, 0, 200, 42, 0, 0, -154, 0, 216, 172, 0, 80, -138, 0, 44, 0, 0, 12, -472, 0, 0, -59, 0, 313, 212, 0, 132, -58, 0, -182, 0, 0, -132, -21, 0, 0, 488, 0, 142, -128, 0, 216, -48, 0, 30, 0, 0, -112, 56, 0, 0, -518, 0, -64, 346, 0, -288, 45, 0, -100, 0, 0, -30, -152, 0, 0, -168, 0, 138, 12, 0, 1, -184, 0, -188, 0, 0, 105, 312, 0, 0, -204, 0, -8, 12, 0, -252, 8, 0, 68, 0, 0, -168, -146, 0, 0, -550, 0, -40, 213, 0, -198, -20, 0, -98, 0, 0, 316, 433, 0, 0, 168, 0, 47, -304, 0, 238, -90, 0, -200, 0, 0, 292, -144, 0, 0, -8, 0, -22, 348, 0, -394, 232, 0, 28, 0, 0, -7, 640, 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: 1197301
    {'conductor': 3, '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': '4275.2.a.l', 'source_level': 4275, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1425.2.a.b', 'target_level': 1425, 'twist_class_label': '1425.2.a.b', 'twist_class_level': 1425, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1197302
    {'conductor': 15, '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': '4275.2.a.l', 'source_level': 4275, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 8, 'target_is_minimal': True, 'target_label': '1425.2.a.h', 'target_level': 1425, 'twist_class_label': '1425.2.a.b', 'twist_class_level': 1425, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1197303
    {'conductor': 15, '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': '4275.2.a.l', 'source_level': 4275, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '1425.2.c.h', 'target_level': 1425, 'twist_class_label': '1425.2.a.b', 'twist_class_level': 1425, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 1197304
    {'conductor': 5, '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': '4275.2.a.l', 'source_level': 4275, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '4275.2.a.f', 'target_level': 4275, 'twist_class_label': '1425.2.a.b', 'twist_class_level': 1425, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1197305
    {'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': '4275.2.a.l', 'source_level': 4275, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 12, 'target_is_minimal': False, 'target_label': '4275.2.a.l', 'target_level': 4275, 'twist_class_label': '1425.2.a.b', 'twist_class_level': 1425, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3550900
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 49539595934634163, 'p': 2}
  • id: 3550901
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 49539595934634163, 'p': 3}
  • id: 3550902
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 49539595934634163, 'p': 5}
  • id: 3550903
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 49539595934634163, 'p': 7}
  • id: 3550904
    {'charpoly_factorization': [[[5, 1], 1]], 'hecke_orbit_code': 49539595934634163, 'p': 11}
  • id: 3550905
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 49539595934634163, 'p': 13}
  • id: 3550906
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 49539595934634163, 'p': 17}
  • id: 3550907
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 49539595934634163, 'p': 19}
  • id: 3550908
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 49539595934634163, 'p': 23}
  • id: 3550909
    {'charpoly_factorization': [[[7, 1], 1]], 'hecke_orbit_code': 49539595934634163, 'p': 29}
  • id: 3550910
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 49539595934634163, 'p': 31}
  • id: 3550911
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 49539595934634163, 'p': 37}
  • id: 3550912
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 49539595934634163, 'p': 41}
  • id: 3550913
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 49539595934634163, 'p': 43}
  • id: 3550914
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 49539595934634163, 'p': 47}
  • id: 3550915
    {'charpoly_factorization': [[[11, 1], 1]], 'hecke_orbit_code': 49539595934634163, 'p': 53}
  • id: 3550916
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 49539595934634163, 'p': 59}
  • id: 3550917
    {'charpoly_factorization': [[[-13, 1], 1]], 'hecke_orbit_code': 49539595934634163, 'p': 61}
  • id: 3550918
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 49539595934634163, 'p': 67}
  • id: 3550919
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 49539595934634163, 'p': 71}
  • id: 3550920
    {'charpoly_factorization': [[[5, 1], 1]], 'hecke_orbit_code': 49539595934634163, 'p': 73}
  • id: 3550921
    {'charpoly_factorization': [[[15, 1], 1]], 'hecke_orbit_code': 49539595934634163, 'p': 79}
  • id: 3550922
    {'charpoly_factorization': [[[9, 1], 1]], 'hecke_orbit_code': 49539595934634163, 'p': 83}
  • id: 3550923
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 49539595934634163, 'p': 89}
  • id: 3550924
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 49539595934634163, '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': '4275.2.a.l', 'level': 4275, '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: 55984687
    {'hecke_orbit_code': 49539595934634163, 'n': 1, 'trace_an': 1}
  • id: 55984688
    {'hecke_orbit_code': 49539595934634163, 'n': 2, 'trace_an': 1}
  • id: 55984689
    {'hecke_orbit_code': 49539595934634163, 'n': 3, 'trace_an': 0}
  • id: 55984690
    {'hecke_orbit_code': 49539595934634163, 'n': 4, 'trace_an': -1}
  • id: 55984691
    {'hecke_orbit_code': 49539595934634163, 'n': 5, 'trace_an': 0}
  • id: 55984692
    {'hecke_orbit_code': 49539595934634163, 'n': 6, 'trace_an': 0}
  • id: 55984693
    {'hecke_orbit_code': 49539595934634163, 'n': 7, 'trace_an': 0}
  • id: 55984694
    {'hecke_orbit_code': 49539595934634163, 'n': 8, 'trace_an': -3}
  • id: 55984695
    {'hecke_orbit_code': 49539595934634163, 'n': 9, 'trace_an': 0}
  • id: 55984696
    {'hecke_orbit_code': 49539595934634163, 'n': 10, 'trace_an': 0}
  • id: 55984697
    {'hecke_orbit_code': 49539595934634163, 'n': 11, 'trace_an': -5}
  • id: 55984698
    {'hecke_orbit_code': 49539595934634163, 'n': 12, 'trace_an': 0}
  • id: 55984699
    {'hecke_orbit_code': 49539595934634163, 'n': 13, 'trace_an': 4}
  • id: 55984700
    {'hecke_orbit_code': 49539595934634163, 'n': 14, 'trace_an': 0}
  • id: 55984701
    {'hecke_orbit_code': 49539595934634163, 'n': 15, 'trace_an': 0}
  • id: 55984702
    {'hecke_orbit_code': 49539595934634163, 'n': 16, 'trace_an': -1}
  • id: 55984703
    {'hecke_orbit_code': 49539595934634163, 'n': 17, 'trace_an': 4}
  • id: 55984704
    {'hecke_orbit_code': 49539595934634163, 'n': 18, 'trace_an': 0}
  • id: 55984705
    {'hecke_orbit_code': 49539595934634163, 'n': 19, 'trace_an': -1}
  • id: 55984706
    {'hecke_orbit_code': 49539595934634163, 'n': 20, 'trace_an': 0}
  • id: 55984707
    {'hecke_orbit_code': 49539595934634163, 'n': 21, 'trace_an': 0}
  • id: 55984708
    {'hecke_orbit_code': 49539595934634163, 'n': 22, 'trace_an': -5}
  • id: 55984709
    {'hecke_orbit_code': 49539595934634163, 'n': 23, 'trace_an': 9}
  • id: 55984710
    {'hecke_orbit_code': 49539595934634163, 'n': 24, 'trace_an': 0}
  • id: 55984711
    {'hecke_orbit_code': 49539595934634163, 'n': 25, 'trace_an': 0}
  • id: 55984712
    {'hecke_orbit_code': 49539595934634163, 'n': 26, 'trace_an': 4}
  • id: 55984713
    {'hecke_orbit_code': 49539595934634163, 'n': 27, 'trace_an': 0}
  • id: 55984714
    {'hecke_orbit_code': 49539595934634163, 'n': 28, 'trace_an': 0}
  • id: 55984715
    {'hecke_orbit_code': 49539595934634163, 'n': 29, 'trace_an': -7}
  • id: 55984716
    {'hecke_orbit_code': 49539595934634163, 'n': 30, 'trace_an': 0}
  • id: 55984717
    {'hecke_orbit_code': 49539595934634163, 'n': 31, 'trace_an': 3}
  • id: 55984718
    {'hecke_orbit_code': 49539595934634163, 'n': 32, 'trace_an': 5}
  • id: 55984719
    {'hecke_orbit_code': 49539595934634163, 'n': 33, 'trace_an': 0}
  • id: 55984720
    {'hecke_orbit_code': 49539595934634163, 'n': 34, 'trace_an': 4}
  • id: 55984721
    {'hecke_orbit_code': 49539595934634163, 'n': 35, 'trace_an': 0}
  • id: 55984722
    {'hecke_orbit_code': 49539595934634163, 'n': 36, 'trace_an': 0}
  • id: 55984723
    {'hecke_orbit_code': 49539595934634163, 'n': 37, 'trace_an': -10}
  • id: 55984724
    {'hecke_orbit_code': 49539595934634163, 'n': 38, 'trace_an': -1}
  • id: 55984725
    {'hecke_orbit_code': 49539595934634163, 'n': 39, 'trace_an': 0}
  • id: 55984726
    {'hecke_orbit_code': 49539595934634163, 'n': 40, 'trace_an': 0}
  • id: 55984727
    {'hecke_orbit_code': 49539595934634163, 'n': 41, 'trace_an': 2}
  • id: 55984728
    {'hecke_orbit_code': 49539595934634163, 'n': 42, 'trace_an': 0}
  • id: 55984729
    {'hecke_orbit_code': 49539595934634163, 'n': 43, 'trace_an': 4}
  • id: 55984730
    {'hecke_orbit_code': 49539595934634163, 'n': 44, 'trace_an': 5}
  • id: 55984731
    {'hecke_orbit_code': 49539595934634163, 'n': 45, 'trace_an': 0}
  • id: 55984732
    {'hecke_orbit_code': 49539595934634163, 'n': 46, 'trace_an': 9}
  • id: 55984733
    {'hecke_orbit_code': 49539595934634163, 'n': 47, 'trace_an': -8}
  • id: 55984734
    {'hecke_orbit_code': 49539595934634163, 'n': 48, 'trace_an': 0}
  • id: 55984735
    {'hecke_orbit_code': 49539595934634163, 'n': 49, 'trace_an': -7}
  • id: 55984736
    {'hecke_orbit_code': 49539595934634163, 'n': 50, 'trace_an': 0}
  • id: 55984737
    {'hecke_orbit_code': 49539595934634163, 'n': 51, 'trace_an': 0}
  • id: 55984738
    {'hecke_orbit_code': 49539595934634163, 'n': 52, 'trace_an': -4}
  • id: 55984739
    {'hecke_orbit_code': 49539595934634163, 'n': 53, 'trace_an': -11}
  • id: 55984740
    {'hecke_orbit_code': 49539595934634163, 'n': 54, 'trace_an': 0}
  • id: 55984741
    {'hecke_orbit_code': 49539595934634163, 'n': 55, 'trace_an': 0}
  • id: 55984742
    {'hecke_orbit_code': 49539595934634163, 'n': 56, 'trace_an': 0}
  • id: 55984743
    {'hecke_orbit_code': 49539595934634163, 'n': 57, 'trace_an': 0}
  • id: 55984744
    {'hecke_orbit_code': 49539595934634163, 'n': 58, 'trace_an': -7}
  • id: 55984745
    {'hecke_orbit_code': 49539595934634163, 'n': 59, 'trace_an': -8}
  • id: 55984746
    {'hecke_orbit_code': 49539595934634163, 'n': 60, 'trace_an': 0}
  • id: 55984747
    {'hecke_orbit_code': 49539595934634163, 'n': 61, 'trace_an': 13}
  • id: 55984748
    {'hecke_orbit_code': 49539595934634163, 'n': 62, 'trace_an': 3}
  • id: 55984749
    {'hecke_orbit_code': 49539595934634163, 'n': 63, 'trace_an': 0}
  • id: 55984750
    {'hecke_orbit_code': 49539595934634163, 'n': 64, 'trace_an': 7}
  • id: 55984751
    {'hecke_orbit_code': 49539595934634163, 'n': 65, 'trace_an': 0}
  • id: 55984752
    {'hecke_orbit_code': 49539595934634163, 'n': 66, 'trace_an': 0}
  • id: 55984753
    {'hecke_orbit_code': 49539595934634163, 'n': 67, 'trace_an': 9}
  • id: 55984754
    {'hecke_orbit_code': 49539595934634163, 'n': 68, 'trace_an': -4}
  • id: 55984755
    {'hecke_orbit_code': 49539595934634163, 'n': 69, 'trace_an': 0}
  • id: 55984756
    {'hecke_orbit_code': 49539595934634163, 'n': 70, 'trace_an': 0}
  • id: 55984757
    {'hecke_orbit_code': 49539595934634163, 'n': 71, 'trace_an': -10}
  • id: 55984758
    {'hecke_orbit_code': 49539595934634163, 'n': 72, 'trace_an': 0}
  • id: 55984759
    {'hecke_orbit_code': 49539595934634163, 'n': 73, 'trace_an': -5}
  • id: 55984760
    {'hecke_orbit_code': 49539595934634163, 'n': 74, 'trace_an': -10}
  • id: 55984761
    {'hecke_orbit_code': 49539595934634163, 'n': 75, 'trace_an': 0}
  • id: 55984762
    {'hecke_orbit_code': 49539595934634163, 'n': 76, 'trace_an': 1}
  • id: 55984763
    {'hecke_orbit_code': 49539595934634163, 'n': 77, 'trace_an': 0}
  • id: 55984764
    {'hecke_orbit_code': 49539595934634163, 'n': 78, 'trace_an': 0}
  • id: 55984765
    {'hecke_orbit_code': 49539595934634163, 'n': 79, 'trace_an': -15}
  • id: 55984766
    {'hecke_orbit_code': 49539595934634163, 'n': 80, 'trace_an': 0}
  • id: 55984767
    {'hecke_orbit_code': 49539595934634163, 'n': 81, 'trace_an': 0}
  • id: 55984768
    {'hecke_orbit_code': 49539595934634163, 'n': 82, 'trace_an': 2}
  • id: 55984769
    {'hecke_orbit_code': 49539595934634163, 'n': 83, 'trace_an': -9}
  • id: 55984770
    {'hecke_orbit_code': 49539595934634163, 'n': 84, 'trace_an': 0}
  • id: 55984771
    {'hecke_orbit_code': 49539595934634163, 'n': 85, 'trace_an': 0}
  • id: 55984772
    {'hecke_orbit_code': 49539595934634163, 'n': 86, 'trace_an': 4}
  • id: 55984773
    {'hecke_orbit_code': 49539595934634163, 'n': 87, 'trace_an': 0}
  • id: 55984774
    {'hecke_orbit_code': 49539595934634163, 'n': 88, 'trace_an': 15}
  • id: 55984775
    {'hecke_orbit_code': 49539595934634163, 'n': 89, 'trace_an': -3}
  • id: 55984776
    {'hecke_orbit_code': 49539595934634163, 'n': 90, 'trace_an': 0}
  • id: 55984777
    {'hecke_orbit_code': 49539595934634163, 'n': 91, 'trace_an': 0}
  • id: 55984778
    {'hecke_orbit_code': 49539595934634163, 'n': 92, 'trace_an': -9}
  • id: 55984779
    {'hecke_orbit_code': 49539595934634163, 'n': 93, 'trace_an': 0}
  • id: 55984780
    {'hecke_orbit_code': 49539595934634163, 'n': 94, 'trace_an': -8}
  • id: 55984781
    {'hecke_orbit_code': 49539595934634163, 'n': 95, 'trace_an': 0}
  • id: 55984782
    {'hecke_orbit_code': 49539595934634163, 'n': 96, 'trace_an': 0}
  • id: 55984783
    {'hecke_orbit_code': 49539595934634163, 'n': 97, 'trace_an': -10}
  • id: 55984784
    {'hecke_orbit_code': 49539595934634163, 'n': 98, 'trace_an': -7}
  • id: 55984785
    {'hecke_orbit_code': 49539595934634163, 'n': 99, 'trace_an': 0}
  • id: 55984786
    {'hecke_orbit_code': 49539595934634163, 'n': 100, 'trace_an': 0}