Newform data - 603.2.g.c

Formats: - HTML - YAML - JSON - 2024-06-05T08:25:49.702281

• 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': 2412, 'analytic_conductor': 4.814979241883207, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 67, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 7, 'char_orbit_label': 'g', 'char_order': 3, 'char_parity': 1, 'char_values': [603, 3, [470, 136], [3, 1]], 'cm_discs': [], 'conrey_index': 37, 'dim': 4, 'field_disc': 225, 'field_disc_factorization': [[3, 2], [5, 2]], 'field_poly': [1, 1, 2, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [1, -1, 2, 1, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007611605156443, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 67, 3, 1, 3, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '603.2.g.c', 'level': 603, '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, 67], 'level_radical': 201, 'minimal_twist': '603.2.g.c', 'nf_label': '4.0.225.1', 'prim_orbit_index': 3, 'qexp_display': 'q-\\beta _{1}q^{2}+(\\beta _{1}+\\beta _{2}-\\beta _{3})q^{4}+(2+2\\beta _{2}+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '603.2.g', 'trace_display': [-1, 0, 4, -4], 'trace_hash': 727392927570754897, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.036', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.762', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.317', 'prec': 17}, {'__RealLiteral__': 0, 'data': '49.698', 'prec': 20}, {'__RealLiteral__': 0, 'data': '15.112', 'prec': 20}, {'__RealLiteral__': 0, 'data': '1123.972', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.016', 'prec': 17}, 'traces': [4, -1, 0, 1, 4, 0, -4, 0, 0, 4, -10, 0, 4, -6, 0, 3, 0, 0, 8, 6, 0, 10, -8, 0, 4, -3, 0, 7, 10, 0, 0, 9, 0, 5, -14, 0, 6, -1, 0, 20, -4, 0, -12, 5, 0, 1, 8, 0, -4, 9, 0, 14, 12, 0, -10, -10, 0, 10, -24, 0, -12, 30, 0, 8, 14, 0, -32, -10, 0, -16, 18, 0, 8, 13, 0, 18, -20, 0, -10, -12, 0, 14, 22, 0, -10, -2, 0, 0, 8, 0, -36, -18, 0, 2, 18, 0, -18, 18, 0, 11, -14, 0, -6, 10, 0, -18, -20, 0, 0, -40, 0, 18, 8, 0, -18, -15, 0, 6, 20, 0, -28, -21, 0, -15, 24, 0, 0, -25, 0, -8, -24, 0, -52, 11, 0, -10, -8, 0, 0, 22, 0, 2, -40, 0, 30, -11, 0, -14, -48, 0, -12, 10, 0, 15, 30, 0, 8, 30, 0, 14, 52, 0, -22, -3, 0, 11, 16, 0, 8, 0, 0, -8, 8, 0, -24, -30, 0, -2, 0, 0, 2, -11, 0, -10, -14, 0, 0, -9, 0, -16, 10, 0, -32, -9, 0, -44, -18, 0, 30, 40, 0, 34, 40, 0, 6, -14, 0, 9, -80, 0, 2, -12, 0, -10, -32, 0, 30, 20, 0, 30, 10, 0, -32, 23, 0, 22, 0, 0, -2, 16, 0, 20, 4, 0, 18, -6, 0, 5, 36, 0, -20, -14, 0, 18, -44, 0, -26, 30, 0, -16, -2, 0, 80, 50, 0, -7, -8, 0, 16, 44, 0, 16, 28, 0, -48, -17, 0, -5, -40, 0, -8, -15, 0, 42, -10, 0, 52, 20, 0, -30, -26, 0, 52, -19, 0, -15, 2, 0, 24, 40, 0, 38, 20, 0, -24, -20, 0, 22, 26, 0, 22, -1, 0, 3, 18, 0, 34, -70, 0, 0, 72, 0, 4, -11, 0, -5, 44, 0, 50, -12, 0, 17, 10, 0, 24, 2, 0, 10, 26, 0, -30, 22, 0, -46, -32, 0, -10, -48, 0, -20, 0, 0, 40, -20, 0, 19, -16, 0, 4, -26, 0, 45, 22, 0, 38, 2, 0, 0, -68, 0, -4, -2, 0, -29, 38, 0, -6, -3, 0, -12, 18, 0, 2, 25, 0, 10, 80, 0, 42, 68, 0, -25, -26, 0, -70, -32, 0, -18, -10, 0, -10, -40, 0, -22, 10, 0, 40, -5, 0, -27, 0, 0, 60, -3, 0, -25, -60, 0, 18, -16, 0, 13, 24, 0, 22, 46, 0, -5, 20, 0, -16, 11, 0, -60, -20, 0, -12, -20, 0, -12, -8, 0, 60, -15, 0, 20, 42, 0, 20, -50, 0, 10, -2, 0, 8, 38, 0, 2, -12, 0, -20, -19, 0, 30, -116, 0, 12, 29, 0, -68, -120, 0, -12, -30, 0, -94, -36, 0, 20, 32, 0, 0, 30, 0, 28, 15, 0, 14, 26, 0, 8, 30, 0, -28, -18, 0, 46, 30, 0, 8, -100, 0, -40, -34, 0, -90, 56, 0, 20, -4, 0, 49, -2, 0, 6, 5, 0, -25, 92, 0, -92, -48, 0, -102, -26, 0, 40, 1, 0, 30, 0, 0, -48, 4, 0, -52, -60, 0, 4, 12, 0, -43, 4, 0, -80, 0, 0, -30, 40, 0, 36, -48, 0, -10, 80, 0, 38, 38, 0, -90, 120, 0, 0, -48, 0, 20, -14, 0, -22, 48, 0, -13, 44, 0, 38, 2, 0, 20, 22, 0, -44, -35, 0, 1, -28, 0, 10, -24, 0, -50, -88, 0, -30, 30, 0, -40, -8, 0, 60, -24, 0, -39, 18, 0, 60, -2, 0, 34, -48, 0, -64, 28, 0, -22, -28, 0, 22, 82, 0, 24, 52, 0, 18, 57, 0, -50, 36, 0, 60, -30, 0, 2, -8, 0, -36, 34, 0, 38, -20, 0, -54, 20, 0, 7, 50, 0, 48, -25, 0, -20, -76, 0, -60, 43, 0, 30, 64, 0, 60, -13, 0, 21, 44, 0, 16, -42, 0, -17, 18, 0, -56, 50, 0, 0, -172, 0, -120, 7, 0, -44, 120, 0, 16, -35, 0, 16, -2, 0, 72, -10, 0, -75, 8, 0, 152, 5, 0, 6, -18, 0, 38, -22, 0, 6, 80, 0, -20, -66, 0, 37, -58, 0, -4, -20, 0, 21, -8, 0, 12, 72, 0, 0, -60, 0, -140, 0, 0, 52, 56, 0, -32, -76, 0, -1, 50, 0, 34, -80, 0, -16, 10, 0, -22, 106, 0, -82, 50, 0, -4, -4, 0, 12, -48, 0, -8, -22, 0, 25, 50, 0, -92, -6, 0, 25, -22, 0, 18, 31, 0, 50, -156, 0, -40, 70, 0, -23, -24, 0, -20, 40, 0, -48, 16, 0, 60, 0, 0, -5, -12, 0, 90, -30, 0, -54, 38, 0, 34, 29, 0, -40, 46, 0, -6, -50, 0, 70, 48, 0, -20, 19, 0, -20, -80, 0, 172, 15, 0, 20, -84, 0, 10, 130, 0, 65, -42, 0, -34, 22, 0, 2, 34, 0, 14, -20, 0, 36, -36, 0, 112, -44, 0, -2, -40, 0, -14, -45, 0, 45, -32, 0, -32, -33, 0, -18, -32, 0, 112, 54, 0, -5, 4, 0, 24, 3, 0, -60, 36, 0, 46, -28, 0, 138, -24, 0, -22, -70, 0, 90, -50, 0, -44, 80, 0, 38, -4, 0, 76, -45, 0, 120, 28, 0, -58, -15, 0, 62, -58, 0, 50, 8, 0, 22, 84, 0, 0, 90, 0, 62, -60, 0, 30, -35, 0, 30, 2, 0, -94, -15, 0, -36, -40, 0, -220, 18, 0, -62, 4, 0, 50, -50, 0, 40, 112, 0, -34, 19, 0, -55, 120, 0, 56, 43, 0, -63, 100, 0, -40, 48, 0, -34, 8, 0, 12, -18, 0, 20, -132, 0, -46, -31, 0, 40, -16, 0, 70, -43, 0, 33, -72, 0, -28, 2, 0, 20, -192, 0, 2, 0, 0, 36, 28, 0, -40, 53, 0, 63, 42, 0, -20, -104, 0, 40, 40, 0, -58, -15, 0, 43, 34, 0, -152, -15, 0, -37, 70, 0, 152, 35, 0, -40], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

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

  
  {'an': [[1, 0, 0, 0], [0, -1, 0, 0], [0, 0, 0, 0], [0, 1, 1, -1], [2, 0, 2, 0], [0, 0, 0, 0], [0, -2, -2, 3], [1, 0, 2, 0], [0, 0, 0, 0], [2, 0, 0, 2], [0, 0, 0, 5], [0, 0, 0, 0], [3, -2, 0, 3], [-2, 0, -1, 0], [0, 0, 0, 0], [0, 3, 0, 0], [-1, 2, 0, -1], [0, 0, 0, 0], [5, -2, 0, 5], [0, 2, 2, -4], [0, 0, 0, 0], [0, 0, -5, 0], [-5, 2, 0, -5], [0, 0, 0, 0], [3, 0, 4, 0], [0, -1, -1, 2], [0, 0, 0, 0], [5, -3, 0, 5], [0, 4, 4, -7], [0, 0, 0, 0], [0, 6, 6, -3], [0, 1, 1, -5], [0, 0, 0, 0], [0, -1, -1, -2], [0, -6, -6, 10], [0, 0, 0, 0], [1, 4, 0, 1], [0, -3, -3, 2], [0, 0, 0, 0], [6, 0, 2, 0], [0, 2, 2, 1], [0, 0, 0, 0], [-4, 0, -2, 0], [5, -5, 0, 5], [0, 0, 0, 0], [0, 3, 3, -2], [0, 2, 2, -5], [0, 0, 0, 0], [-6, 8, 0, -6], [4, 1, 0, 4], [0, 0, 0, 0], [5, 0, 3, 0], [0, 0, -6, 0], [0, 0, 0, 0], [0, -10, -10, 10], [0, -4, -4, 7], [0, 0, 0, 0], [4, 0, 3, 0], [-6, 0, 0, 0], [0, 0, 0, 0], [-3, -6, 0, -3], [6, 0, -3, 0], [0, 0, 0, 0], [1, 0, -2, 0], [10, -6, 0, 10], [0, 0, 0, 0], [-7, 0, 0, 2], [-3, 0, -1, 0], [0, 0, 0, 0], [-6, 0, -4, 0], [0, 4, 4, -11], [0, 0, 0, 0], [7, -6, 0, 7], [0, -5, -5, -4], [0, 0, 0, 0], [7, 0, 5, 0], [-15, 10, 0, -15], [0, 0, 0, 0], [0, 4, 4, 3], [-6, 0, 0, -6], [0, 0, 0, 0], [2, 0, -3, 0], [11, 0, 0, 11], [0, 0, 0, 0], [-6, 2, 0, -6], [-2, 2, 0, -2], [0, 0, 0, 0], [0, -10, -10, 5], [2, 0, 0, 0], [0, 0, 0, 0], [-13, 0, -8, 0], [-7, 0, -5, 0], [0, 0, 0, 0], [2, 0, 3, 0], [14, -10, 0, 14], [0, 0, 0, 0], [-9, 0, 0, -9], [0, -2, -2, -8], [0, 0, 0, 0], [0, 3, 3, -7]], 'ap': [[0, -1, 0, 0], [0, 0, 0, 0], [2, 0, 2, 0], [0, -2, -2, 3], [0, 0, 0, 5], [3, -2, 0, 3], [-1, 2, 0, -1], [5, -2, 0, 5], [-5, 2, 0, -5], [0, 4, 4, -7], [0, 6, 6, -3], [1, 4, 0, 1], [0, 2, 2, 1], [-4, 0, -2, 0], [0, 2, 2, -5], [0, 0, -6, 0], [-6, 0, 0, 0], [-3, -6, 0, -3], [-7, 0, 0, 2], [0, 4, 4, -11], [7, -6, 0, 7], [0, 4, 4, 3], [11, 0, 0, 11], [2, 0, 0, 0], [-9, 0, 0, -9], [0, 4, 4, 5], [0, -4, -4, 5], [-8, 0, -6, 0], [4, 0, 8, 0], [0, 6, 6, -7], [0, 10, 10, -5], [-4, 0, 4, 0], [6, 0, 16, 0], [4, 0, 8, 0], [-10, 0, 4, 0], [-7, 2, 0, -7], [7, -6, 0, 7], [0, -4, -4, 13], [0, -6, -6, -5], [1, 6, 0, 1], [0, 0, 0, 0], [0, 0, 0, -1], [11, -12, 0, 11], [-16, 0, -16, 0], [0, -8, -8, 13], [19, -8, 0, 19], [-1, 4, 0, -1], [-2, 0, 12, 0], [0, 6, 6, -3], [-7, 12, 0, -7], [0, -18, -18, 7], [0, 10, 10, -23], [0, 0, 10, 0], [-11, 20, 0, -11], [0, -22, -22, 15], [-2, 0, -18, 0], [-18, 0, -16, 0], [-12, 0, -20, 0], [6, 0, -14, 0], [-13, 0, 0, -13], [16, 0, 6, 0], [-2, 0, -14, 0], [9, 16, 0, 9], [22, 0, 8, 0], [8, 0, 14, 0], [25, -6, 0, 25], [0, 4, 4, 13], [1, -12, 0, 1], [0, -2, -2, 9], [-12, 0, -26, 0], [9, 4, 0, 9], [-10, 0, 14, 0], [0, 20, 20, -7], [0, -4, -4, 1], [19, 4, 0, 19], [-11, -4, 0, -11], [-5, 0, 0, -5], [2, 0, -16, 0], [-4, 0, -8, 0], [0, 8, 8, -13], [3, 14, 0, 3], [-3, -10, 0, -3], [0, 26, 26, -9], [0, -2, -2, -29], [21, -22, 0, 21], [0, 12, 12, -5], [0, 10, 10, 1], [0, 6, 6, -9], [-28, 0, 4, 0], [-11, 10, 0, -11], [-9, -18, 0, -9], [9, 8, 0, 9], [17, 12, 0, 17], [-22, 0, 6, 0], [5, 10, 0, 5], [0, 12, 12, -5], [20, 0, -6, 0], [2, 0, 4, 0], [-23, -2, 0, -23], [18, 0, 18, 0], [0, -24, -24, -7], [0, -20, -20, 17], [-4, 0, -30, 0], [0, -12, -12, -5], [0, -2, -2, 23], [0, -4, -4, -3], [-11, 14, 0, -11], [19, -20, 0, 19], [0, -6, -6, 27], [-35, 6, 0, -35], [0, -12, -12, -5], [-1, 20, 0, -1], [6, 0, -6, 0], [33, -6, 0, 33], [-35, 16, 0, -35], [0, 10, 10, 33], [-18, 0, -6, 0], [33, -2, 0, 33], [21, 2, 0, 21], [0, -32, -32, 7], [-4, 0, 20, 0], [14, 0, 20, 0], [0, 4, 4, -1], [5, -2, 0, 5], [0, -16, -16, -11], [0, 4, 4, 27], [15, -18, 0, 15], [25, 6, 0, 25], [7, 20, 0, 7], [0, -20, -20, 21], [-5, 6, 0, -5], [-19, -10, 0, -19], [-16, 0, 14, 0], [0, -20, -20, 1], [-40, 0, -2, 0], [0, -22, -22, 21], [0, 2, 2, -9], [19, -4, 0, 19], [0, 10, 10, -29], [-10, 0, 22, 0], [0, -24, -24, 7], [27, -20, 0, 27], [1, 12, 0, 1], [-23, 10, 0, -23], [34, 0, 12, 0], [0, 26, 26, 3], [3, 18, 0, 3], [12, 0, 6, 0], [0, 8, 8, -27], [16, 0, 44, 0], [43, -10, 0, 43], [9, 10, 0, 9], [0, -4, -4, 31], [-19, -20, 0, -19], [0, 4, 4, 45], [-28, 0, -36, 0], [27, -4, 0, 27], [34, 0, 8, 0], [10, 0, 40, 0], [16, 0, 28, 0], [-34, 0, -2, 0], [14, 0, 36, 0], [0, 8, 8, -5], [0, -38, -38, 5], [17, 8, 0, 17], [14, 0, 8, 0], [-38, 0, 0, 0], [32, 0, -12, 0]], 'char_orbit_index': 7, 'field_poly': [1, 1, 2, -1, 1], 'hecke_orbit_code': 9007611605156443, 'hecke_ring_character_values': [[470, [1, 0, 0, 0]], [136, [0, 0, 0, 1]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 2, 2], 'hecke_ring_inverse_denominators': [1, 1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [0, 1, 1, 1], [-1, 0, 2, 0]], 'hecke_ring_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [1, 0, 0, 1], [-1, -2, 2, -1]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '603.2.g.c', 'level': 603, 'maxp': 997, '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

  
  {'Nk2': 2412, 'analytic_conductor': 4.814979241883207, 'char_conductor': 67, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 7, 'char_orbit_label': 'g', 'char_order': 3, 'char_parity': 1, 'char_values': [603, 3, [470, 136], [3, 1]], 'conrey_index': 37, 'cusp_dim': 128, 'dim': 54, 'eis_dim': 16, 'eis_new_dim': 4, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 412350415451, 'hecke_orbit_dims': [2, 2, 4, 4, 10, 10, 10, 12], 'label': '603.2.g', 'level': 603, '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, 67], 'level_radical': 201, 'mf_dim': 144, 'mf_new_dim': 58, 'num_forms': 8, 'prim_orbit_index': 3, 'relative_dim': 27, 'sturm_bound': 136, 'trace_bound': 2, 'trace_display': [2, 0, 6, -2], 'traces': [54, 2, 0, -24, 6, 0, -2, 0, 0, 3, -8, 0, -2, 2, 0, -18, 2, 0, -8, -9, 0, -48, 0, 0, 40, 15, 0, 23, 6, 0, -10, 7, 0, -20, -9, 0, -15, -11, 0, -42, -22, 0, 8, -29, 0, 1, 49, 0, -53, 6, 0, 56, 32, 0, -30, 20, 0, 40, -18, 0, 16, -76, 0, -36, 18, 0, -16, -2, 0, 52, -31, 0, 8, -34, 0, 64, -39, 0, 18, 61, 0, 50, -42, 0, 12, 17, 0, 41, 92, 0, -36, 34, 0, 8, -21, 0, 18, -19, 0, 11, -22, 0, -10, -22, 0, 4, 32, 0, -12, 20, 0, -98, -17, 0, -61, 3, 0, 37, -6, 0, -33, -1, 0, -77, 96, 0, 13, 23, 0, -25, 110, 0, -62, 61, 0, -81, -50, 0, -34, -95, 0, 60, -60, 0, 40, 20, 0, 164, -18, 0, 24, -61, 0, -55, -57, 0, 23, -110, 0, -6, -12, 0, -55, -84, 0, 11, -14, 0, -23, -74, 0, -44, -20, 0, -52, 250, 0, 5, 130, 0, 16, -78, 0, -49, -10, 0, -8, 156, 0, 32, -14, 0, -28, -32, 0, 134, -2, 0, -16, 124, 0, 188, 13, 0, 33, 48, 0, 12, -62, 0, 35, -114, 0, 31, 8, 0, 98, 50, 0, 7, -36, 0, 32, 8, 0, -62, -29, 0, -3, 76, 0, -52, -3, 0, 68, -26, 0, 61, -70, 0, -106, 22, 0, 52, -133, 0, 40, 182, 0, 18, -37, 0, 60, 220, 0, 82, 47, 0, -186, -194, 0, -60, -90, 0, -62, 134, 0, -145, -32, 0, 76, -165, 0, -14, 31, 0, -10, -132, 0, -189, 52, 0, 176, -178, 0, -38, 47, 0, 41, 244, 0, 92, -26, 0, -296, -16, 0, 1, -55, 0, 58, -17, 0, 16, -33, 0, -34, 26, 0, -114, 46, 0, 126, 83, 0, 165, 63, 0, 63, -164, 0, -10, -25, 0, -84, 156, 0, -71, 51, 0, -7, 218, 0, -244, 87, 0, 34, -392, 0, -210, -119, 0, -130, -368, 0, 43, 91, 0, -138, -234, 0, 97, -25, 0, 53, -183, 0, -59, 50, 0, -45, 92, 0, -3, -65, 0, 80, -50, 0, 130, -11, 0, 20, 18, 0, -30, 270, 0, 106, 360, 0, -173, -6, 0, 44, -161, 0, -170, 175, 0, 32, 59, 0, -2, 48, 0, -168, 120, 0, 33, -54, 0, 160, 147, 0, 66, 168, 0, 122, 144, 0, 80, -141, 0, -3, 148, 0, -21, -55, 0, 150, -78, 0, 28, 95, 0, 18, 17, 0, -127, -24, 0, 127, 13, 0, 63, -38, 0, 92, -142, 0, 252, -14, 0, 10, -108, 0, 8, 145, 0, 81, -37, 0, 100, 322, 0, -34, 133, 0, 518, -216, 0, -52, -80, 0, 34, 19, 0, 126, -408, 0, -258, -6, 0, 95, -89, 0, -124, -130, 0, -145, 202, 0, 148, -215, 0, 89, 27, 0, 114, 226, 0, 134, 56, 0, 158, -80, 0, 75, -105, 0, -4, -82, 0, -2, -113, 0, -45, 160, 0, -394, -66, 0, -398, -20, 0, 30, 40, 0, -41, -172, 0, -207, 32, 0, 109, 2, 0, -9, 129, 0, -176, 284, 0, -138, 306, 0, -98, -284, 0, 58, -249, 0, -198, -120, 0, 132, 224, 0, -342, -452, 0, -61, -1, 0, 148, -146, 0, -82, -168, 0, 32, 80, 0, -7, -150, 0, 41, -84, 0, -166, -78, 0, 260, 59, 0, 97, 436, 0, 29, 316, 0, -134, -146, 0, -58, -68, 0, -182, 215, 0, -193, 23, 0, 420, -52, 0, 236, -31, 0, -111, 612, 0, -102, 152, 0, 17, 278, 0, 40, -146, 0, 82, -241, 0, -260, 132, 0, 126, -30, 0, -118, -78, 0, -246, -6, 0, 160, -18, 0, -35, 128, 0, 2, -5, 0, 94, 0, 0, -139, -5, 0, -336, 44, 0, 286, -205, 0, -41, 236, 0, -68, 61, 0, 124, 228, 0, -194, 49, 0, -204, -348, 0, 14, -152, 0, -360, 168, 0, -174, -166, 0, 46, -212, 0, 171, 52, 0, 536, -308, 0, 73, 77, 0, 102, -225, 0, -64, 39, 0, 103, 270, 0, -186, 82, 0, 254, -34, 0, 134, -24, 0, 127, -145, 0, -68, -81, 0, 31, 90, 0, 32, -230, 0, -360, 7, 0, -39, -4, 0, 108, -158, 0, 104, -58, 0, -100, 70, 0, 201, -14, 0, -34, 222, 0, -22, 115, 0, -69, -420, 0, 170, -128, 0, 262, -458, 0, -32, 206, 0, 116, -478, 0, 216, -78, 0, 10, -248, 0, 197, 132, 0, -53, 234, 0, -78, -64, 0, 12, -235, 0, -168, 94, 0, -166, 50, 0, -232, 508, 0, 81, 502, 0, 123, -34, 0, -54, -277, 0, 498, 247, 0, 94, 196, 0, 24, -11, 0, -60, 262, 0, -260, 308, 0, 318, 300, 0, 3, 142, 0, -69, 84, 0, 365, -247, 0, 32, -162, 0, 260, -88, 0, -47, -127, 0, -546, 90, 0, 318, 66, 0, -1, 210, 0, 76, -29, 0, 47, 101, 0, -125, -114, 0, 104, -31, 0, 106, -89, 0, 35, 183, 0, -23, 148, 0, -274, 190, 0, 226, 239, 0, -658, -106, 0, -25, 74, 0, -588, -73, 0, -86, -620, 0, 462, -18, 0, 70, -253, 0, 386, -143, 0, -120, 98, 0, -50, -45, 0, 167, -40, 0, 82, 78, 0, -158, -50, 0, -474, -64, 0, -30, -113, 0, 147, -271, 0, -98, -88, 0, 47, 268, 0, -346, -256, 0, -220, -73, 0, 257, 138, 0, 118, -350, 0, -168, 154, 0, -316, 186, 0, 37, 158, 0, -10, 534, 0, -382, 479, 0, -24, 168, 0, -144, -378, 0, -76, -282, 0, 133, 306, 0, -424, -438, 0, 188, -86, 0, 267, -198, 0, -135, -442, 0, 15, 126, 0, 110, -218, 0, -123, -85, 0, -226, 27, 0, 150, 15, 0, -227, 566, 0, 168, 174, 0, -124, -438, 0, 109, 73, 0, -108, 288, 0, -200, 70, 0, -24, -130, 0, -138], '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: 411352
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 7, 'source_dim': 4, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '603.2.g.c', 'source_level': 603, 'target_char_orbit': 7, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '603.2.g.c', 'target_level': 603, 'twist_class_label': '603.2.g.c', 'twist_class_level': 603, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 411353
    {'conductor': 67, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 7, 'source_dim': 4, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '603.2.g.c', 'source_level': 603, 'target_char_orbit': 7, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '603.2.g.c', 'target_level': 603, 'twist_class_label': '603.2.g.c', 'twist_class_level': 603, 'twisting_char_label': '67.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 411354
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 7, 'source_dim': 4, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '603.2.g.c', 'source_level': 603, 'target_char_orbit': 7, 'target_dim': 4, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '603.2.g.d', 'target_level': 603, 'twist_class_label': '603.2.g.c', 'twist_class_level': 603, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 411355
    {'conductor': 201, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 7, 'source_dim': 4, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '603.2.g.c', 'source_level': 603, 'target_char_orbit': 7, 'target_dim': 4, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '603.2.g.d', 'target_level': 603, 'twist_class_label': '603.2.g.c', 'twist_class_level': 603, 'twisting_char_label': '201.g', 'twisting_char_orbit': 7, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1109450
    {'charpoly_factorization': [[[1, -1, 2, 1, 1], 1]], 'hecke_orbit_code': 9007611605156443, 'p': 2}
  • id: 1109451
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9007611605156443, 'p': 3}
  • id: 1109452
    {'charpoly_factorization': [[[-4, -2, 1], 2]], 'hecke_orbit_code': 9007611605156443, 'p': 5}
  • id: 1109453
    {'charpoly_factorization': [[[1, -4, 17, 4, 1], 1]], 'hecke_orbit_code': 9007611605156443, 'p': 7}
  • id: 1109454
    {'charpoly_factorization': [[[25, 5, 1], 2]], 'hecke_orbit_code': 9007611605156443, 'p': 11}
  • id: 1109455
    {'charpoly_factorization': [[[1, 4, 17, -4, 1], 1]], 'hecke_orbit_code': 9007611605156443, 'p': 13}
  • id: 1109456
    {'charpoly_factorization': [[[25, 0, 5, 0, 1], 1]], 'hecke_orbit_code': 9007611605156443, 'p': 17}
  • id: 1109457
    {'charpoly_factorization': [[[121, -88, 53, -8, 1], 1]], 'hecke_orbit_code': 9007611605156443, 'p': 19}
  • id: 1109458
    {'charpoly_factorization': [[[121, 88, 53, 8, 1], 1]], 'hecke_orbit_code': 9007611605156443, 'p': 23}
  • id: 1109459
    {'charpoly_factorization': [[[25, -50, 95, -10, 1], 1]], 'hecke_orbit_code': 9007611605156443, 'p': 29}
  • id: 1109460
    {'charpoly_factorization': [[[2025, 0, 45, 0, 1], 1]], 'hecke_orbit_code': 9007611605156443, 'p': 31}
  • id: 1109461
    {'charpoly_factorization': [[[121, 66, 47, -6, 1], 1]], 'hecke_orbit_code': 9007611605156443, 'p': 37}
  • id: 1109462
    {'charpoly_factorization': [[[1, -4, 17, 4, 1], 1]], 'hecke_orbit_code': 9007611605156443, 'p': 41}
  • id: 1109463
    {'charpoly_factorization': [[[4, 6, 1], 2]], 'hecke_orbit_code': 9007611605156443, 'p': 43}
  • id: 1109464
    {'charpoly_factorization': [[[121, -88, 53, -8, 1], 1]], 'hecke_orbit_code': 9007611605156443, 'p': 47}
  • id: 1109465
    {'charpoly_factorization': [[[-36, -6, 1], 2]], 'hecke_orbit_code': 9007611605156443, 'p': 53}
  • id: 1109466
    {'charpoly_factorization': [[[6, 1], 4]], 'hecke_orbit_code': 9007611605156443, 'p': 59}
  • id: 1109467
    {'charpoly_factorization': [[[81, -108, 153, 12, 1], 1]], 'hecke_orbit_code': 9007611605156443, 'p': 61}
  • id: 1109468
    {'charpoly_factorization': [[[67, 16, 1], 2]], 'hecke_orbit_code': 9007611605156443, 'p': 67}
  • id: 1109469
    {'charpoly_factorization': [[[3721, -1098, 263, -18, 1], 1]], 'hecke_orbit_code': 9007611605156443, 'p': 71}
  • id: 1109470
    {'charpoly_factorization': [[[841, 232, 93, -8, 1], 1]], 'hecke_orbit_code': 9007611605156443, 'p': 73}
  • id: 1109471
    {'charpoly_factorization': [[[25, 50, 95, 10, 1], 1]], 'hecke_orbit_code': 9007611605156443, 'p': 79}
  • id: 1109472
    {'charpoly_factorization': [[[121, -11, 1], 2]], 'hecke_orbit_code': 9007611605156443, 'p': 83}
  • id: 1109473
    {'charpoly_factorization': [[[-2, 1], 4]], 'hecke_orbit_code': 9007611605156443, 'p': 89}
  • id: 1109474
    {'charpoly_factorization': [[[81, 9, 1], 2]], 'hecke_orbit_code': 9007611605156443, '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': 7, 'hecke_orbit': 3, 'label': '603.2.g.c', 'level': 603, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 30855229
    {'hecke_orbit_code': 9007611605156443, 'n': 1, 'trace_an': 4}
  • id: 30855230
    {'hecke_orbit_code': 9007611605156443, 'n': 2, 'trace_an': -1}
  • id: 30855231
    {'hecke_orbit_code': 9007611605156443, 'n': 3, 'trace_an': 0}
  • id: 30855232
    {'hecke_orbit_code': 9007611605156443, 'n': 4, 'trace_an': 1}
  • id: 30855233
    {'hecke_orbit_code': 9007611605156443, 'n': 5, 'trace_an': 4}
  • id: 30855234
    {'hecke_orbit_code': 9007611605156443, 'n': 6, 'trace_an': 0}
  • id: 30855235
    {'hecke_orbit_code': 9007611605156443, 'n': 7, 'trace_an': -4}
  • id: 30855236
    {'hecke_orbit_code': 9007611605156443, 'n': 8, 'trace_an': 0}
  • id: 30855237
    {'hecke_orbit_code': 9007611605156443, 'n': 9, 'trace_an': 0}
  • id: 30855238
    {'hecke_orbit_code': 9007611605156443, 'n': 10, 'trace_an': 4}
  • id: 30855239
    {'hecke_orbit_code': 9007611605156443, 'n': 11, 'trace_an': -10}
  • id: 30855240
    {'hecke_orbit_code': 9007611605156443, 'n': 12, 'trace_an': 0}
  • id: 30855241
    {'hecke_orbit_code': 9007611605156443, 'n': 13, 'trace_an': 4}
  • id: 30855242
    {'hecke_orbit_code': 9007611605156443, 'n': 14, 'trace_an': -6}
  • id: 30855243
    {'hecke_orbit_code': 9007611605156443, 'n': 15, 'trace_an': 0}
  • id: 30855244
    {'hecke_orbit_code': 9007611605156443, 'n': 16, 'trace_an': 3}
  • id: 30855245
    {'hecke_orbit_code': 9007611605156443, 'n': 17, 'trace_an': 0}
  • id: 30855246
    {'hecke_orbit_code': 9007611605156443, 'n': 18, 'trace_an': 0}
  • id: 30855247
    {'hecke_orbit_code': 9007611605156443, 'n': 19, 'trace_an': 8}
  • id: 30855248
    {'hecke_orbit_code': 9007611605156443, 'n': 20, 'trace_an': 6}
  • id: 30855249
    {'hecke_orbit_code': 9007611605156443, 'n': 21, 'trace_an': 0}
  • id: 30855250
    {'hecke_orbit_code': 9007611605156443, 'n': 22, 'trace_an': 10}
  • id: 30855251
    {'hecke_orbit_code': 9007611605156443, 'n': 23, 'trace_an': -8}
  • id: 30855252
    {'hecke_orbit_code': 9007611605156443, 'n': 24, 'trace_an': 0}
  • id: 30855253
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  • id: 30855416
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  • id: 30855452
    {'hecke_orbit_code': 9007611605156443, 'n': 769, 'trace_an': -20}
  • id: 30855453
    {'hecke_orbit_code': 9007611605156443, 'n': 773, 'trace_an': 16}
  • id: 30855454
    {'hecke_orbit_code': 9007611605156443, 'n': 787, 'trace_an': 34}
  • id: 30855455
    {'hecke_orbit_code': 9007611605156443, 'n': 797, 'trace_an': 48}
  • id: 30855456
    {'hecke_orbit_code': 9007611605156443, 'n': 809, 'trace_an': -84}
  • id: 30855457
    {'hecke_orbit_code': 9007611605156443, 'n': 811, 'trace_an': 10}
  • id: 30855458
    {'hecke_orbit_code': 9007611605156443, 'n': 821, 'trace_an': 34}
  • id: 30855459
    {'hecke_orbit_code': 9007611605156443, 'n': 823, 'trace_an': 14}
  • id: 30855460
    {'hecke_orbit_code': 9007611605156443, 'n': 827, 'trace_an': -36}
  • id: 30855461
    {'hecke_orbit_code': 9007611605156443, 'n': 829, 'trace_an': 112}
  • id: 30855462
    {'hecke_orbit_code': 9007611605156443, 'n': 839, 'trace_an': -32}
  • id: 30855463
    {'hecke_orbit_code': 9007611605156443, 'n': 841, 'trace_an': -32}
  • id: 30855464
    {'hecke_orbit_code': 9007611605156443, 'n': 853, 'trace_an': 24}
  • id: 30855465
    {'hecke_orbit_code': 9007611605156443, 'n': 857, 'trace_an': 36}
  • id: 30855466
    {'hecke_orbit_code': 9007611605156443, 'n': 859, 'trace_an': 46}
  • id: 30855467
    {'hecke_orbit_code': 9007611605156443, 'n': 863, 'trace_an': -24}
  • id: 30855468
    {'hecke_orbit_code': 9007611605156443, 'n': 877, 'trace_an': 76}
  • id: 30855469
    {'hecke_orbit_code': 9007611605156443, 'n': 881, 'trace_an': 28}
  • id: 30855470
    {'hecke_orbit_code': 9007611605156443, 'n': 883, 'trace_an': -58}
  • id: 30855471
    {'hecke_orbit_code': 9007611605156443, 'n': 887, 'trace_an': -58}
  • id: 30855472
    {'hecke_orbit_code': 9007611605156443, 'n': 907, 'trace_an': -94}
  • id: 30855473
    {'hecke_orbit_code': 9007611605156443, 'n': 911, 'trace_an': -40}
  • id: 30855474
    {'hecke_orbit_code': 9007611605156443, 'n': 919, 'trace_an': 50}
  • id: 30855475
    {'hecke_orbit_code': 9007611605156443, 'n': 929, 'trace_an': 120}
  • id: 30855476
    {'hecke_orbit_code': 9007611605156443, 'n': 937, 'trace_an': -40}
  • id: 30855477
    {'hecke_orbit_code': 9007611605156443, 'n': 941, 'trace_an': 8}
  • id: 30855478
    {'hecke_orbit_code': 9007611605156443, 'n': 947, 'trace_an': -132}
  • id: 30855479
    {'hecke_orbit_code': 9007611605156443, 'n': 953, 'trace_an': -16}
  • id: 30855480
    {'hecke_orbit_code': 9007611605156443, 'n': 961, 'trace_an': -28}
  • id: 30855481
    {'hecke_orbit_code': 9007611605156443, 'n': 967, 'trace_an': 2}
  • id: 30855482
    {'hecke_orbit_code': 9007611605156443, 'n': 971, 'trace_an': 28}
  • id: 30855483
    {'hecke_orbit_code': 9007611605156443, 'n': 977, 'trace_an': 42}
  • id: 30855484
    {'hecke_orbit_code': 9007611605156443, 'n': 983, 'trace_an': 40}
  • id: 30855485
    {'hecke_orbit_code': 9007611605156443, 'n': 991, 'trace_an': -152}
  • id: 30855486
    {'hecke_orbit_code': 9007611605156443, 'n': 997, 'trace_an': 152}